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### Instruction:
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Exact individual metadata will be iterated with the ILSTE-WG to ensure all metadata requirements are covered
### Assistant:
VARIABLE: all metadata requirements
CONDITION: are covered
CAUSE_1: Exact individual metadata will be iterated with the ILSTE-WG
KEYWORD: to ensure
EFFECT_1: all metadata requirements are covered
### END
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### Instruction:
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For high latitude applications then equal area projections are more suitable and as such dedicated polar IST / LST datasets will be available in these projections
### Assistant:
KEYWORD: then
CONDITION: will be available in these projections
VARIABLE: as such dedicated polar IST / LST datasets
AND: and
EFFECT_2: as such dedicated polar IST / LST datasets will be available in these projections
EFFECT_1: equal area projections are more suitable
CAUSE_1: high latitude applications
### END
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### Instruction:
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Where data adjustment is performed this will be provided in the harmonised format as attribute comments
### Assistant:
KEYWORD: Where
VARIABLE: this
CONDITION: will be provided in the harmonised format as attribute comments
CAUSE_1: data adjustment is performed
EFFECT_1: this will be provided in the harmonised format as attribute comments
### END
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### Instruction:
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A repository will be set up to allow users to share data reader and visualisation tools within the community
### Assistant:
VARIABLE: users
CONDITION: visualisation tools within the community
EFFECT_1: to allow users to share data reader
AND: and
CAUSE_1: A repository will be set up
EFFECT_2: visualisation tools within the community
### END
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### Instruction:
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Since this requires data from multiple input data streams with considerable processing requirements such timeliness is not considered feasible
### Assistant:
KEYWORD: Since
VARIABLE: such timeliness
CONDITION: considered feasible
NEGATION: is not
EFFECT_1: such timeliness is not considered feasible
CAUSE_1: this requires data from multiple input data streams with considerable processing requirements
### END
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### Instruction:
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Continuation of this data will be sustained with the launch of the Sea and Land Surface Temperature Radiometer (SLSTR) on board Sentinel-3
### Assistant:
VARIABLE: Land Surface Temperature Radiometer (SLSTR) on board Sentinel-3
CONDITION: the launch of
KEYWORD: with
AND: and
EFFECT_1: Continuation of this data will be sustained
CAUSE_1: the launch of the Sea
CAUSE_2: Land Surface Temperature Radiometer (SLSTR) on board Sentinel-3
### END
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### Instruction:
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With a swath width of 512km, AATSR is able to provide approximately 3-day global LST coverage with a repeat cycle of 35 days
### Assistant:
KEYWORD: With
VARIABLE: a repeat cycle
CONDITION: of 35 days
CAUSE_1: a swath width of 512km
AND: with
EFFECT_1: AATSR is able to provide approximately 3-day global LST coverage
EFFECT_2: a repeat cycle of 35 days
### END
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### Instruction:
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Where snow or ice is identified the pixel is reclassified as permanent ice (ALB-2 class 27) and LST is retrieved by applying the associated coefficients
### Assistant:
KEYWORD: Where
VARIABLE: LST
OR: or
CONDITION: is retrieved by applying the associated coefficients
NOT_RELEVANT: (ALB-2 class 27)
AND: and
CAUSE_1: snow
CAUSE_2: ice is identified
EFFECT_1: the pixel is reclassified as permanent ice
EFFECT_2: LST is retrieved by applying the associated coefficients
### END
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### Instruction:
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Where a surface is identified as transient snow/ice or sea-ice these IST coefficients are applied instead of the respective LST or SST coefficients
### Assistant:
KEYWORD: Where
VARIABLE: SST coefficients
CONDITION: are applied
OR: or
NEGATION: instead
CAUSE_1: a surface is identified as transient snow/ice
CAUSE_2: sea-ice
EFFECT_1: these IST coefficients are applied
EFFECT_2: of the respective LST
EFFECT_3: SST coefficients
### END
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### Instruction:
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Although AVHRR/3 is a six-channel radiometer, only five channels are transmitted to the ground at any given time, since channels 3a and 3b do not operate simultaneously
### Assistant:
NOT_RELEVANT: Although AVHRR/3 is a six-channel radiometer
KEYWORD: since
VARIABLE: 3b
CONDITION: operate simultaneously
AND: and
NEGATION: do not
CAUSE_2: 3b do not operate simultaneously
CAUSE_1: channels 3a
EFFECT_1: five channels are transmitted to the ground at any given time
### END
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### Instruction:
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For Metop satellites, channel 3a is operated during the daytime portion of the orbit and channel 3b during the night-time portion
### Assistant:
KEYWORD: during
VARIABLE: the night-time portion
CAUSE_1: Metop satellites
CONDITION: is operated
EFFECT_1: channel 3a is operated
CAUSE_2: the daytime portion of the orbit
AND: and
CAUSE_3: the night-time portion
EFFECT_2: channel 3b
### END
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### Instruction:
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The nominal SSP is located at 0º longitude and therefore the MSG disk covers Africa, most of Europe and part of South America
### Assistant:
CONDITION: part of South America
VARIABLE: the MSG disk
CAUSE_1: The nominal SSP is located at 0º longitude
KEYWORD: therefore
EFFECT_1: the MSG disk covers Africa
AND: and
EFFECT_2: most of Europe
EFFECT_3: part of South America
### END
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### Instruction:
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VIIRS controls pixel growth towards the edge of scan such that the pixel sizes are comparable to nadir
### Assistant:
KEYWORD: such that
VARIABLE: VIIRS
CONDITION: controls pixel growth towards the edge of scan
EFFECT_1: the pixel sizes are comparable to nadir
CAUSE_1: VIIRS controls pixel growth towards the edge of scan
### END
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### Instruction:
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On the ground, the EFOV is 50 km by 50 km at nadir, and the distance between two EFOV is approximately 50 km
### Assistant:
VARIABLE: the distance between two EFOV
CAUSE_1: the ground
EFFECT_1: the EFOV is 50 km by 50 km at nadir
AND: and
CONDITION: is approximately 50 km
EFFECT_2: the distance between two EFOV is approximately 50 km
KEYWORD: On
### END
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### Instruction:
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Since non- GlobTemperature funded international collaborators may be unlikely to be able to provide datasets in the agreed GlobTemperature harmonised format, the Data Portal will not restrict access to only datasets in harmonised formats
### Assistant:
KEYWORD: Since
VARIABLE: the Data Portal
NEGATION: will not
CONDITION: restrict access to only datasets in harmonised formats
CAUSE_1: non- GlobTemperature funded international collaborators may be unlikely to be able to provide datasets in the agreed GlobTemperature harmonised format
EFFECT_1: the Data Portal will not restrict access to only datasets in harmonised formats
### END
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### Instruction:
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For any lake pixels where Arc-Lake is not available, the UOL_LST_2P retrievals for the inland water biome are to be used
### Assistant:
VARIABLE: Arc-Lake
KEYWORD: where
CONDITION: are to be used
CAUSE_1: any lake pixels
EFFECT_1: the UOL_LST_2P retrievals for the inland water biome are to be used
NEGATION: is not
CAUSE_2: Arc-Lake is not available
### END
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### Instruction:
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The locations where Arc-Lake retrievals are derived are defined using the ARC-Lake land/water mask
### Assistant:
VARIABLE: Arc-Lake retrievals
CONDITION: are defined using the ARC-Lake land/water mask.
CAUSE_1: Arc-Lake retrievals are derived
EFFECT_1: The locations
KEYWORD: where
### END
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### Instruction:
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At each new LSWT release of GloboLakes the (A)ATSR GlobTemperature single-sensor dataset will be re-processed
### Assistant:
KEYWORD: At each
CONDITION: will be re-processed
VARIABLE: the (A)ATSR GlobTemperature single-sensor dataset
CAUSE_1: new LSWT release of GloboLakes
EFFECT_1: the (A)ATSR GlobTemperature single-sensor dataset will be re-processed
### END
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### Instruction:
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Once the GEO data are merged, LEO data and GEO data can be merged; in areas not covered by GEO observations the following stage of the merging process is based on LEO-only data
### Assistant:
KEYWORD: in
VARIABLE: the following stage of the merging process
CONDITION: is based on LEO-only data
CAUSE_1: the GEO data are merged
AND: and
EFFECT_1: LEO data
EFFECT_2: GEO data can be merged
NEGATION: not
CAUSE_2: areas not covered by GEO observations
EFFECT_3: the following stage of the merging process is based on LEO-only data
### END
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### Instruction:
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All orbits overpassing a given site will be extracted as subsets for matching in the GT_MDB
### Assistant:
VARIABLE: All orbits
CONDITION: will be extracted as subsets for matching in the GT_MDB
CAUSE_1: All orbits overpassing a given site
EFFECT_1: will be extracted as subsets for matching in the GT_MDB
### END
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### Instruction:
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Once the protocol is finalised then the use of open source solutions for data extraction will also be considered (a recommended solution is GDAL (www.gdal.org))
### Assistant:
KEYWORD: then
VARIABLE: the use of open source solutions for data extraction
CONDITION: will also be considered
CAUSE_1: the protocol is finalised
EFFECT_1: the use of open source solutions for data extraction will also be considered
NOT_RELEVANT: (a recommended solution is GDAL (www.gdal.org))
### END
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### Instruction:
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In-situ emissivities need to be determined with appropriate spatial and temporal sampling to be representative of LSE
### Assistant:
VARIABLE: In-situ emissivities
CONDITION: temporal sampling
AND: and
CAUSE_2: temporal sampling
CAUSE_1: In-situ emissivities need to be determined with appropriate spatial
EFFECT_1: to be representative of LSE
### END
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### Instruction:
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However, in case of changes in surface moisture LSE may need to be retrieved several times per day
### Assistant:
KEYWORD: in case of
VARIABLE: LSE
CAUSE_1: changes in surface moisture
CONDITION: may need to be retrieved several times per day.
EFFECT_1: LSE may need to be retrieved several times per day
NOT_RELEVANT: However
### END
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### Instruction:
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Depending on the surface type, the accuracy of in-situ LSE is usually between ±0.005 and ±0.015
### Assistant:
KEYWORD: Depending on
VARIABLE: the accuracy of in-situ LSE
CAUSE_1: the surface type
CONDITION: is usually between ±0.005 and ±0.015
EFFECT_1: the accuracy of in-situ LSE is usually between ±0.005 and ±0.015.
### END
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### Instruction:
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Where no in-situ emissivity data are available, the use of in-situ emissivities derived from MOD21 LSE is recommended
### Assistant:
KEYWORD: Where
NEGATION: no
VARIABLE: the use of in-situ emissivities
CONDITION: derived from MOD21 LSE
CAUSE_1: no in-situ emissivity data are available
EFFECT_1: the use of in-situ emissivities
CAUSE_2: derived from MOD21 LSE
### END
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### Instruction:
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Radiance-based validation offers a useful alternative to validation with in situ LST as it does not require in-situ measurements concurrent with the satellite overpass [RD-67]
### Assistant:
VARIABLE: it
CONDITION: require in-situ measurements concurrent with the satellite overpass
EFFECT_1: Radiance-based validation offers a useful alternative to validation with in situ LST
KEYWORD: as
NEGATION: does not
NOT_RELEVANT: [RD-67]
CAUSE_1: it does not require in-situ measurements concurrent with the satellite overpass
### END
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### Instruction:
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For selecting locations where R-based validation is to be carried out, a key criterion is the spatial homogeneity and temporal stability of the surface in terms of emissivity
### Assistant:
KEYWORD: where
CONDITION: temporal stability of the surface in terms of emissivity
VARIABLE: a key criterion
AND: and
CAUSE_1: selecting locations
CAUSE_2: R-based validation is to be carried out
EFFECT_1: a key criterion is the spatial homogeneity
EFFECT_2: temporal stability of the surface in terms of emissivity
### END
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### Instruction:
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When the result of this ‘double-differencing test’, which was first implemented by [RD-67], is close to zero, then the atmospheric profiles can be assumed to be representative of the real conditions
### Assistant:
KEYWORD: then
VARIABLE: the atmospheric profiles
NOT_RELEVANT: which was first implemented by [RD-67]
CONDITION: can be assumed to be representative of the real conditions
EFFECT_1: the atmospheric profiles can be assumed to be representative of the real conditions
CAUSE_1: is close to zero
### END
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### Instruction:
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Intercomparisons are also mandatory when combining several products into a ‘best available product’
### Assistant:
VARIABLE: several products
CONDITION: into a ‘best available product’
KEYWORD: when
EFFECT_1: Intercomparisons are also mandatory
CAUSE_1: combining several products into a ‘best available product’
### END
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### Instruction:
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However, product intercomparisons on their own are not sufficient for comprehensive validation since the various products could be ‘consistent’ but nonetheless biased with respect to reference data, i.e. in-situ LST
### Assistant:
NOT_RELEVANT: i.e. in-situ LST
VARIABLE: the various products
NEGATION: are not
CONDITION: nonetheless biased with respect to reference data
KEYWORD: since
AND: but
EFFECT_1: product intercomparisons on their own are not sufficient for comprehensive validation
CAUSE_1: the various products could be ‘consistent’
CAUSE_2: nonetheless biased with respect to reference data
### END
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### Instruction:
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This step is very important when analysing long time series or comparing different regions
### Assistant:
VARIABLE: different regions
CONDITION: comparing
KEYWORD: when
OR: or
CAUSE_1: analysing long time series
EFFECT_1: This step is very important
CAUSE_2: comparing different regions
### END
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### Instruction:
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In case such surfaces are not available, e.g. if there is a heterogeneous and dynamic vegetation cover in the target area, precision may also be quantified by evaluating the ‘smoothness’ of the time series of some geostatistical metric, g. variograms generally show significant variability (nugget) for pixels separated by very short distances
### Assistant:
KEYWORD: In case
VARIABLE: precision
CONDITION: may also be quantified by evaluating the ‘smoothness’ of the time series of some geostatistical metric
CAUSE_1: such surfaces are not available
NOT_RELEVANT: g. variograms generally show significant variability (nugget) for pixels separated by very short distances.
EFFECT_1: precision may also be quantified by evaluating the ‘smoothness’ of the time series of some geostatistical metric
NEGATION: are not
### END
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### Instruction:
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For each subsequent class, one of the listed criteria can be relaxed
### Assistant:
KEYWORD: For
CONDITION: can be relaxed
VARIABLE: each
CAUSE_1: each subsequent class
EFFECT_1: one of the listed criteria can be relaxed.
### END
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### Instruction:
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In order to increase the number of primary in-situ validation sites for the purpose of GlobTemperature, additional sites were selected based on a) their long-term operational availability and their category according to [RD-5]
### Assistant:
KEYWORD: In order to
VARIABLE: additional sites
CONDITION: their category according to [RD-5]
EFFECT_1: to increase the number of primary in-situ validation sites
NOT_RELEVANT: for the purpose of GlobTemperature
CAUSE_1: additional sites were selected based on a) their long-term operational availability
AND: and
CAUSE_2: their category according to [RD-5]
### END
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### Instruction:
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For radiometers measuring in the atmospheric window and for a small distance between the sensor and the surface (a few 10m), atmospheric attenuation of the surface-leaving IR radiance can be neglected
### Assistant:
KEYWORD: for
VARIABLE: a
CONDITION: small
AND: and
NOT_RELEVANT: (a few 10m)
EFFECT_1: atmospheric attenuation of the surface-leaving IR radiance can be neglected
CAUSE_1: radiometers measuring in the atmospheric window
CAUSE_2: a small distance between the sensor and the surface
### END
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### Instruction:
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Depending on surface emissivity and on downwelling longwave radiance (e.g. a cold clear sky vs. a warm humid atmosphere), the reflection term in the above equation can cause differences of several degrees Celsius [RD-84]
### Assistant:
KEYWORD: on
VARIABLE: the reflection term in the above equation
AND: and
CONDITION: can cause differences of several degrees Celsius
NOT_RELEVANT: [RD-84]
CAUSE_1: surface emissivity
CAUSE_2: downwelling longwave radiance
EFFECT_1: the reflection term in the above equation can cause differences of several degrees Celsius
### END
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### Instruction:
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In order to avoid influence of the atmosphere on the broadband measurements (3-50µm), the distance between the in-situ sensor and the target has to be small, since the sensors also measure outside the atmospheric window
### Assistant:
KEYWORD: since
CONDITION: also measure outside the atmospheric window
VARIABLE: the sensors
EFFECT_1: to avoid influence of the atmosphere on the broadband measurements
NOT_RELEVANT: (3-50µm)
CAUSE_1: the distance between the in-situ sensor and the target has to be small
CAUSE_2: the sensors also measure outside the atmospheric window
### END
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### Instruction:
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Only feasible matchup combinations are listed; where the orbit characteristics of two sensors are not compatible for matching LST then no entry is made
### Assistant:
KEYWORD: Only
VARIABLE: matchup combinations
CONDITION: are listed
NEGATION: are not
CAUSE_2: the orbit characteristics of two sensors are not compatible for matching LST
EFFECT_2: entry is made
CAUSE_1: feasible matchup combinations
EFFECT_1: are listed
### END
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### Instruction:
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For each data set, the user will be able to consult a detailed version of the metadata
### Assistant:
KEYWORD: For
VARIABLE: the user
CAUSE_1: each data set
CONDITION: will be able to consult a detailed version of the metadata
EFFECT_1: the user will be able to consult a detailed version of the metadata
### END
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### Instruction:
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For each order, the link between the registered user and the associated order will be stored in the database
### Assistant:
KEYWORD: For
VARIABLE: the link between the registered user and the associated order
CONDITION: will be stored in the database
CAUSE_1: each order
EFFECT_1: the link between the registered user and the associated order will be stored in the database
### END
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### Instruction:
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In response to the order received, the data is transferred from the archive to the Download area
### Assistant:
KEYWORD: In response to
VARIABLE: the data
CONDITION: is transferred from the archive to the Download area
CAUSE_1: the order received
EFFECT_1: the data is transferred from the archive to the Download area
### END
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### Instruction:
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A script will be set up on the dissemination system to automatically delete any ordered products older than 15 days
### Assistant:
VARIABLE: ordered products
NOT_RELEVANT: will be set up on the dissemination system
CONDITION: to automatically delete
CAUSE_1: ordered products older than 15 days
KEYWORD: any
EFFECT_1: to automatically delete
### END
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### Instruction:
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Additional detailed specifications will be appended in further versions in response to the users need and to recommendations of the International LST & E Working Group
### Assistant:
KEYWORD: in response to
VARIABLE: the International LST & E Working Group
AND: and
CONDITION: will be appended in further versions
CAUSE_1: the users need
CAUSE_2: to recommendations of the International LST & E Working Group
EFFECT_1: Additional detailed specifications will be appended in further versions
### END
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### Instruction:
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The presence of the cloud bits within the QC flags enable easy filtering of cloud from the delivered data
### Assistant:
CONDITION: enable
VARIABLE: easy filtering of cloud from the delivered data
EFFECT_1: enable easy filtering of cloud from the delivered data
CAUSE_1: The presence of the cloud bits within the QC flags
### END
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### Instruction:
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To facilitate optimum user uptake of the GlobTemperature products in harmonised format a set of tools will be developed in Python, which is open-source and platform independent software for reading and sub-setting the datafiles created in the harmonised formats
### Assistant:
CONDITION: will be developed in Python
VARIABLE: a set of tools
EFFECT_1: To facilitate optimum user uptake of the GlobTemperature products in harmonised format
CAUSE_1: a set of tools will be developed in Python
NOT_RELEVANT: which is open-source and platform independent software for reading and sub-setting the datafiles created in the harmonised formats.
### END
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### Instruction:
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Where emissivity data are explicit these can be provided in the AUX datafiles
### Assistant:
KEYWORD: Where
VARIABLE: emissivity data
CONDITION: these can be provided in the AUX datafiles
CAUSE_1: emissivity data are explicit
EFFECT_1: these can be provided in the AUX datafiles
### END
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### Instruction:
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The daily IST fields will be available in Netcdf format to other partners within the GlobTemperature project after generation
### Assistant:
NEGATION: after
VARIABLE: The daily IST fields
CAUSE_1: generation
CONDITION: will be available in Netcdf format to other partners within the GlobTemperature project
EFFECT_1: The daily IST fields will be available in Netcdf format to other partners within the GlobTemperature project
### END
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### Instruction:
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Consequently, the need for trustworthy forecasts of atmospheric and oceanographic conditions is highly needed for safely marine operations in ice-covered seas
### Assistant:
KEYWORD: Consequently
CONDITION: is highly needed
VARIABLE: oceanographic conditions
CAUSE_1: safely marine operations in ice-covered seas
AND: and
EFFECT_1: the need for trustworthy forecasts of atmospheric
EFFECT_2: oceanographic conditions is highly needed
### END
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### Instruction:
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Once the triangles are calculated, results will be checked to remove those dates where the LST-VI triangle is not properly defined
### Assistant:
KEYWORD: where
VARIABLE: the LST-VI triangle
CONDITION: properly defined
CAUSE_1: the triangles are calculated
EFFECT_1: results will be checked to remove those dates
NEGATION: is not
CAUSE_2: the LST-VI triangle is not properly defined
### END
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### Instruction:
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Because of the recent improvements to both the modelling of the land surface and assimilation at the Met Office the source of the satellite data will need to be from a recent observing period
### Assistant:
KEYWORD: Because of
VARIABLE: the modelling of the land surface
AND: both
CAUSE_1: the modelling of the land surface
CAUSE_2: assimilation at the Met Office
CONDITION: will need to be from a recent observing period
EFFECT_1: the source of the satellite data will need to be from a recent observing period
### END
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### Instruction:
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Once a dataset is released to the user community via the Data Portal evolution of the algorithm and further re-processing will be carefully managed
### Assistant:
KEYWORD: Once
VARIABLE: further re-processing
CONDITION: will be carefully managed
CAUSE_1: a dataset is released to the user community via the Data Portal
AND: and
EFFECT_1: evolution of the algorithm
EFFECT_2: further re-processing will be carefully managed
### END
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### Instruction:
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If that funding were not available or insufficient in future years, base funds at the locations and/or discretionary funds from the Area and Headquarters funds would support the activity but the timelines would be adjusted
### Assistant:
KEYWORD: If
VARIABLE: the timelines
CONDITION: would be adjusted
OR: or
CAUSE_1: that funding were not available
CAUSE_2: insufficient in future years
EFFECT_3: the timelines would be adjusted
AND: but
EFFECT_1: base funds at the locations
EFFECT_2: discretionary funds from the Area and Headquarters funds would support the activity
NEGATION: were not
### END
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### Instruction:
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STEWARDS will provide web-based geographic information tools to allow site-specific data to be viewed within their spatial context
### Assistant:
KEYWORD: to allow
VARIABLE: site-specific data
CONDITION: to be viewed within their spatial context.
CAUSE_1: STEWARDS will provide web-based geographic information tools
EFFECT_1: site-specific data to be viewed within their spatial context
### END
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### Instruction:
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Where there is an exception, the software/hardware requirement should be specified for a particular application
### Assistant:
KEYWORD: Where
CONDITION: should be specified for a particular application
CAUSE_1: there is an exception
VARIABLE: there
EFFECT_1: the software/hardware requirement should be specified for a particular application.
### END
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### Instruction:
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Further requirements gathering is needed to get real-world estimates of such data storage needs
### Assistant:
CONDITION: to get
KEYWORD: is needed
VARIABLE: Further requirements
CAUSE_1: Further requirements gathering
EFFECT_1: to get real-world estimates of such data storage needs
### END
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### Instruction:
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HR-2.1: Load Balancing - Application Servers and Database servers must be load balanced at the application level to ensure maximum stability and availability
### Assistant:
NOT_RELEVANT: HR-2.1:
VARIABLE: availability
AND: and
CONDITION: to ensure
CAUSE_1: Load Balancing - Application Servers
CAUSE_2: Database servers must be load balanced at the application level
EFFECT_1: to ensure maximum stability
EFFECT_2: availability
### END
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### Instruction:
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Data will be subject to quality assurance prior to either initial or recurring uploading to STEWARDS
### Assistant:
CONDITION: will be subject to quality assurance
OR: either
VARIABLE: Data
EFFECT_1: Data will be subject to quality assurance
CAUSE_1: initial
CAUSE_2: recurring uploading to STEWARDS
NEGATION: prior to
### END
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### Instruction:
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Quality assurance checking at the local sites may be performed before or during the standard exchange file conversion phase
### Assistant:
KEYWORD: during
OR: or
VARIABLE: Quality assurance checking at the local sites
CAUSE_1: the standard exchange file conversion phase
CONDITION: may be performed
EFFECT_1: Quality assurance checking at the local sites may be performed
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
A general quality assurance checking, not as specific as at the local sites, will be carried out during the data uploading stage
### Assistant:
KEYWORD: during
VARIABLE: A general quality assurance checking
CAUSE_1: the data uploading stage
NOT_RELEVANT: not as specific as at the local sites,
CONDITION: will be carried out
EFFECT_1: will be carried out
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In this manner, all the data files from the local sites will have consistent formats when they are stored in the central site
### Assistant:
KEYWORD: when
CONDITION: will have consistent formats
CAUSE_1: they are stored in the central site
VARIABLE: they
EFFECT_1: all the data files from the local sites will have consistent formats
NOT_RELEVANT: In this manner
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The central database will allow users to access the data of individual watersheds, sub-watersheds on a station-by-station basis, or a collection of stations if the entire dataset is desired
### Assistant:
KEYWORD: if
VARIABLE: The central database
CONDITION: a collection of stations
CAUSE_1: the entire dataset is desired
OR: or
EFFECT_1: The central database will allow users to access the data of individual watersheds
EFFECT_2: sub-watersheds on a station-by-station basis
EFFECT_3: a collection of stations
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The system will have a simple interface, consistent with industry standard interfaces, to eliminate the need for user training of infrequent users
### Assistant:
CONDITION: will have a simple interface, consistent with industry standard interfaces
VARIABLE: The system
EFFECT_1: to eliminate the need for user training of infrequent users
CAUSE_1: The system will have a simple interface, consistent with industry standard interfaces
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This system will include a warning message when a low transmission speed is detected, and a non-graphical interface option will be available
### Assistant:
KEYWORD: when
VARIABLE: a non-graphical interface option
CONDITION: will be available
CAUSE_1: a low transmission speed is detected
AND: and
EFFECT_1: This system will include a warning message
EFFECT_2: a non-graphical interface option will be available
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Functional requirements are also called behavioral requirements because they address what the system does
### Assistant:
KEYWORD: because
CONDITION: are also called behavioral requirements
CAUSE_1: they address what the system does
VARIABLE: they
EFFECT_1: Functional requirements are also called behavioral requirements
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Completion/Confirmation messages should be displayed when the application processes the data successfully
### Assistant:
KEYWORD: when
VARIABLE: Completion/Confirmation messages
CONDITION: should be displayed
CAUSE_1: the application processes the data successfully
EFFECT_1: Completion/Confirmation messages should be displayed
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
During the logical system design phase, a logical data system (all system components and their relationships) will be constructed and validated
### Assistant:
KEYWORD: During
VARIABLE: a logical data system
CAUSE_1: the logical system design phase
CONDITION: validated
AND: and
NOT_RELEVANT: (all system components and their relationships)
EFFECT_1: will be constructed
EFFECT_2: validated
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The SRD is a living document, and it is intended that the document undergoes the necessary pressures of review and subsequent revision, during the lifetime of Phase 1
### Assistant:
KEYWORD: during
CONDITION: subsequent revision
CAUSE_1: the lifetime of Phase 1
VARIABLE: the document
EFFECT_1: The SRD is a living document
AND: and
NOT_RELEVANT: it is intended that
EFFECT_2: the document undergoes the necessary pressures of review
EFFECT_3: subsequent revision
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Where change takes place in the SRD, those deliverables which depend on the SRD must be appropriately updated
### Assistant:
KEYWORD: which
CONDITION: depend on the SRD
VARIABLE: deliverables
CAUSE_1: change takes place in the SRD
EFFECT_1: must be appropriately updated
CAUSE_2: depend on the SRD
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
A set of system requirements is elicited and refined based on a judicious mapping with DUACS, prior to other inputs being considered
### Assistant:
NEGATION: prior to
VARIABLE: A set of system requirements
CONDITION: refined based on a judicious mapping with DUACS
CAUSE_1: other inputs being considered
AND: and
EFFECT_1: A set of system requirements is elicited
EFFECT_2: refined based on a judicious mapping with DUACS
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Metadata will be associated with SLCCI in order to describe all output sea level products
### Assistant:
KEYWORD: in order to
CONDITION: will be associated with SLCCI
VARIABLE: Metadata
CAUSE_1: describe all output sea level products
EFFECT_1: Metadata will be associated with SLCCI
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
While interacting with the system, he is to be considered as an actor and uses specific system capabilities
### Assistant:
KEYWORD: While
CONDITION: uses specific system capabilities
VARIABLE: he
CAUSE_1: interacting with the system
AND: and
EFFECT_1: he is to be considered as an actor
EFFECT_2: uses specific system capabilities
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The SLCCI users relate to climatology research and so do not require degraded-quality NRT data products
### Assistant:
KEYWORD: and so
NEGATION: do not
CONDITION: relate to climatology research
VARIABLE: The SLCCI users
CAUSE_1: The SLCCI users relate to climatology research
EFFECT_1: do not require degraded-quality NRT data products
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
If the outcome of such an analysis is positive, it is likely that USCRN data can be classified in one of the higher classes in future
### Assistant:
KEYWORD: If
VARIABLE: USCRN data
CONDITION: can be classified in one of the higher classes in future
CAUSE_1: the outcome of such an analysis is positive
NOT_RELEVANT: it is likely that
EFFECT_1: USCRN data can be classified in one of the higher classes in future
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Sensors can sample data periodically (eg: sound recording) or trigger events when a given condition is met
### Assistant:
KEYWORD: when
VARIABLE: a given condition
CONDITION: trigger events
CAUSE_1: a given condition is met
NOT_RELEVANT: Sensors can sample data periodically (eg: sound recording)
OR: or
EFFECT_1: trigger events
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
These can be used to play a given sound when a certain message is received
### Assistant:
KEYWORD: when
VARIABLE: These
CONDITION: can be used to play a given sound
CAUSE_1: a certain message is received
EFFECT_1: These can be used to play a given sound
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
It uses information in the link and adaptation layers to compress network- and transport-layer headers
### Assistant:
VARIABLE: network
CONDITION: adaptation layers
AND: and
CAUSE_1: It uses information in the link
CAUSE_2: adaptation layers
EFFECT_1: to compress network-
EFFECT_2: transport-layer headers
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Because every INSTEON devices are flat, they do not require network supervision (network controllers and routing tables are not required)
### Assistant:
KEYWORD: Because
VARIABLE: they
CONDITION: require network supervision
CAUSE_1: every INSTEON devices are flat
EFFECT_1: they do not require network supervision
NOT_RELEVANT: (network controllers and routing tables are not required)
NEGATION: do not
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
With a growing selection of wireless networking alternatives, users are no longer confined to wired installations, and with cost-effective and reliable wireless products emerging based on global standards, users are no longer restricted to proprietary wireless approaches
### Assistant:
KEYWORD: with
CONDITION: longer restricted to proprietary wireless approaches
VARIABLE: a
CAUSE_1: a growing selection of wireless networking alternatives
EFFECT_1: users are no longer confined to wired installations
AND: and
CAUSE_2: cost-effective
CAUSE_3: reliable wireless products emerging based on global standards
EFFECT_2: users are no longer restricted to proprietary wireless approaches
NEGATION: are no
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Applications that are based on onthologies could store links to their OWL descriptors
### Assistant:
VARIABLE: Applications
CONDITION: could store links to their OWL descriptors
CAUSE_1: are based on onthologies
EFFECT_1: could store links to their OWL descriptors.
KEYWORD: that
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Dynamic DNS: It is possible to dynamically send updates to the DNS server(s) whenever the situation of the internal network changes
### Assistant:
KEYWORD: whenever
VARIABLE: It
CONDITION: is possible to dynamically send updates to the DNS server(s)
CAUSE_1: the situation of the internal network changes
NOT_RELEVANT: Dynamic DNS:
EFFECT_1: It is possible to dynamically send updates to the DNS server(s)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Devices that do not have direct access to an IP network will need to be accessible through a gateway
### Assistant:
VARIABLE: Devices
NEGATION: do not
CONDITION: will need to be accessible through a gateway
EFFECT_1: will need to be accessible through a gateway
CAUSE_1: Devices
KEYWORD: that
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Instead, protocols that are based on multicast discovery schemes like DPWS need to provide a way to propagate multicast messages outside the internal network
### Assistant:
NOT_RELEVANT: like DPWS
VARIABLE: protocols
CONDITION: need to provide a way to propagate multicast messages outside the internal network.
CAUSE_1: are based on multicast discovery schemes
EFFECT_1: need to provide a way to propagate multicast messages outside the internal network
KEYWORD: that
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Devices description working group has developed a core vocabulary to adapt content in Mobile Web
### Assistant:
VARIABLE: content in Mobile Web
CONDITION: to adapt
CAUSE_1: The Devices description working group has developed a core vocabulary
EFFECT_1: to adapt content in Mobile Web
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When an IP network is set up, it is possible to retrieve data from and manipulate devices through their IP interfaces
### Assistant:
KEYWORD: it is possible
VARIABLE: devices
CONDITION: through their IP interfaces
CAUSE_1: an IP network is set up
AND: and
EFFECT_1: to retrieve data from
EFFECT_2: manipulate devices through their IP interfaces
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In general, pollution of the application space should be avoided especially when devices from different networking technologies are expected to communicate together (they will usually do that, either directly or indirectly through an IP network)
### Assistant:
KEYWORD: especially when
VARIABLE: pollution of the application space
CONDITION: should be avoided
CAUSE_1: devices from different networking technologies are expected to communicate together
NOT_RELEVANT: In general
EFFECT_1: pollution of the application space should be avoided
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
SIP: the SIP protocol is ideal whenever data must be acquired in a conversational manner
### Assistant:
KEYWORD: whenever
VARIABLE: data
CONDITION: must be acquired in a conversational manner
EFFECT_1: the SIP protocol is ideal
CAUSE_1: data must be acquired in a conversational manner
NOT_RELEVANT: SIP:
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The SIP URL of a given stream could, if not previously known, be registered under a DNS name using a DNS TXT record
### Assistant:
KEYWORD: if
NEGATION: not
CONDITION: be registered under a DNS name using a DNS TXT record
CAUSE_1: not previously known
VARIABLE: The SIP URL of a given stream
EFFECT_1: be registered under a DNS name using a DNS TXT record
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In case SOAP is used a device will expose its interface through a description language called WSDL
### Assistant:
KEYWORD: In case
VARIABLE: a device
CONDITION: will expose its interface through a description language called WSDL
CAUSE_1: SOAP is used
EFFECT_1: a device will expose its interface through a description language called WSDL
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This description language relies on XSD (XML Schema Definition) in order to describe the structure of the data that can be exchanged with a device
### Assistant:
KEYWORD: in order
VARIABLE: the structure of the data that can be exchanged with a device
CONDITION: to describe
CAUSE_1: This description language relies on XSD
NOT_RELEVANT: (XML Schema Definition)
EFFECT_1: to describe the structure of the data that can be exchanged with a device
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
However, given the faulty nature of hardware, SOAP clients should not assume the services to be always up and running, and provide a buffer solution for downtimes
### Assistant:
KEYWORD: given
NOT_RELEVANT: However
CONDITION: provide a buffer solution for downtimes
VARIABLE: the
CAUSE_1: the faulty nature of hardware
NEGATION: not
AND: and
EFFECT_1: SOAP clients should not assume the services to be always up and running
EFFECT_2: provide a buffer solution for downtimes
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
REST: With REST, it is possible for every device to maintain its own resources inside the network, and to store its exported data over there
### Assistant:
KEYWORD: for
VARIABLE: its own resources
NOT_RELEVANT: REST
CONDITION: to maintain
CAUSE_1: REST
EFFECT_1: to maintain its own resources inside the network
AND: and
EFFECT_2: to store its exported data over there
CAUSE_2: every device
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This has the advantage that data is available even when a device is offline
### Assistant:
KEYWORD: even when
VARIABLE: data
CONDITION: is available
CAUSE_1: a device is offline
EFFECT_1: data is available
NOT_RELEVANT: This has the advantage that
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Likewise, control information could be put inside a resource by a device-controlling application, and have the device periodically read them (or being notified through HTTP Server Push), especially after it goes online
### Assistant:
VARIABLE: control information
CONDITION: have the device periodically read them
CAUSE_1: it goes online
NOT_RELEVANT: (or being notified through HTTP Server Push)
EFFECT_1: control information could be put inside a resource by a device-controlling application
AND: and
EFFECT_2: have the device periodically read them
KEYWORD: especially
NEGATION: after
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
However, the problem could be mitigated if wired networking is used and the wired network is situated at a secure location
### Assistant:
KEYWORD: if
VARIABLE: the problem
CONDITION: could be mitigated
AND: and
EFFECT_1: the problem could be mitigated
NOT_RELEVANT: However
CAUSE_1: wired networking is used
CAUSE_2: the wired network is situated at a secure location
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Devices could communicate between entities using different networking protocols only if a protocol translation occurs
### Assistant:
KEYWORD: only if
VARIABLE: Devices
CONDITION: could communicate between entities using different networking protocols
CAUSE_1: a protocol translation occurs
EFFECT_1: Devices could communicate between entities using different networking protocols
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Modified TCP allows running TCP/IP protocol suite directly in the WSNs [54]
### Assistant:
VARIABLE: TCP/IP protocol suite
CONDITION: directly in the WSNs
CAUSE_1: Modified TCP
EFFECT_1: running TCP/IP protocol suite directly in the WSNs
NOT_RELEVANT: [54]
KEYWORD: allows
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
On the other hand, by using the combined information, the virtual sensors have also the capability of reasoning by using fusion techniques5
### Assistant:
NOT_RELEVANT: On the other hand
CONDITION: have also the capability of reasoning by using fusion techniques5
VARIABLE: the virtual sensors
CAUSE_1: using the combined information
EFFECT_1: the virtual sensors have also the capability of reasoning by using fusion techniques5
KEYWORD: by
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This first technique uses the time of transmission, the known signal propagation speed and the time of arrival of such signal in order to compute the distance between two nodes in the WSN
### Assistant:
KEYWORD: in order
CONDITION: the known signal propagation speed
VARIABLE: This first technique
CAUSE_1: to compute the distance between two nodes in the WSN
AND: and
EFFECT_1: This first technique uses the time of transmission
EFFECT_2: the known signal propagation speed
EFFECT_3: the time of arrival of such signal
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
However the main drawback is that it is difficult to precisely record the arrival time of radio signals, since they travel close to the light speed
### Assistant:
KEYWORD: since
VARIABLE: the arrival time of radio signals
CONDITION: is difficult to precisely record
CAUSE_1: they travel close to the light speed
NOT_RELEVANT: However the main drawback is that it
EFFECT_1: is difficult to precisely record the arrival time of radio signals
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
It does not scale well in large networks and problems may arise due to environmental conditions
### Assistant:
KEYWORD: due to
VARIABLE: problems
CAUSE_1: environmental conditions
CONDITION: may arise
NEGATION: not
EFFECT_1: It does not scale well in large networks
AND: and
EFFECT_2: problems may arise
### END
|