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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall develop and maintain an electronic user helpdesk with the primary goal of helping users prepare and execute observations
### Assistant:
VARIABLE: users
CONDITION: execute observations
AND: and
KEYWORD: with the primary goal of
EFFECT_1: helping users prepare
EFFECT_2: execute observations
CAUSE_1: The TMT Observatory shall develop
CAUSE_2: maintain an electronic user helpdesk
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory will be responsible for keeping this documentation and these tools up-to-date as TMT systems evolve
### Assistant:
VARIABLE: TMT systems
CONDITION: evolve
AND: and
KEYWORD: as
EFFECT_1: The TMT Observatory will be responsible for keeping this documentation
EFFECT_2: these tools up-to-date
CAUSE_1: TMT systems evolve
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT observatory in steady operations shall not allow observers to modify low-level technical settings
### Assistant:
VARIABLE: The TMT observatory
CONDITION: allow observers to modify low-level technical settings
KEYWORD: in
CAUSE_1: steady operations
EFFECT_1: shall not allow observers to modify low-level technical settings
NEGATION: shall not
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT observatory shall provide a master alarm monitor that shows TMT subsystem status
### Assistant:
VARIABLE: TMT subsystem status
CONDITION: shows
KEYWORD: that
CAUSE_1: The TMT observatory shall provide a master alarm monitor
EFFECT_1: shows TMT subsystem status
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT status will be in an easily interpretable form, e.g., a screen showing a red (alarm) or green (operational) bar for each major sub-system
### Assistant:
VARIABLE: sub-system
CONDITION: major
KEYWORD: for each
EFFECT_1: The TMT status will be in an easily interpretable form
CAUSE_1: major sub-system
NOT_RELEVANT: e.g., a screen showing a red (alarm) or green (operational) bar
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT observatory storage systems shall provide sufficient storage to retain the science data and associated calibration data for the life of the observatory
### Assistant:
VARIABLE: associated calibration data
CONDITION: for the life of the observatory
AND: and
CAUSE_1: The TMT observatory storage systems shall provide sufficient storage
EFFECT_1: to retain the science data
EFFECT_2: associated calibration data for the life of the observatory
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT observatory science data and metadata shall be made accessible to the worldwide community after the standard proprietary period is over
### Assistant:
VARIABLE: the standard proprietary period
AND: and
CONDITION: is over
KEYWORD: after
EFFECT_1: The TMT observatory science data
EFFECT_2: metadata shall be made accessible to the worldwide community
CAUSE_1: the standard proprietary period is over
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall provide data reduction disk space and computing capability on remotely accessible observatory computers
### Assistant:
VARIABLE: observatory computers
CONDITION: remotely accessible
AND: and
KEYWORD: on
CAUSE_1: remotely accessible observatory computers
EFFECT_1: The TMT Observatory shall provide data reduction disk space
EFFECT_2: computing capability
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Discussion: Attention must be given to making instruments mechanically rigid so that calibration data taken during the day can be applied to science observations acquired at night
### Assistant:
NOT_RELEVANT: Discussion:
VARIABLE: calibration data taken during the day
CONDITION: acquired at night
KEYWORD: so that
CAUSE_1: Attention must be given to making instruments mechanically rigid
EFFECT_1: calibration data taken during the day can be applied to science observations
CAUSE_2: acquired at night
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall enable operations of multiple instruments in parallel for the purposes of instrument configuration and calibration
### Assistant:
VARIABLE: instrument
CONDITION: configuration
KEYWORD: for the purposes of
AND: and
CAUSE_1: The TMT Observatory shall enable operations of multiple instruments in parallel
EFFECT_1: instrument configuration
EFFECT_2: calibration
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory subsystems (including instruments) are required to produce status and diagnostic telemetry for the purposes of performance monitoring and failure analysis
### Assistant:
VARIABLE: failure
CONDITION: analysis
AND: and
KEYWORD: for the purposes of
CAUSE_1: are required to produce status
CAUSE_2: diagnostic telemetry
EFFECT_1: performance monitoring
EFFECT_2: failure analysis
NOT_RELEVANT: (including instruments)
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Discussion: To meet this requirement, the telemetry information needs to include both low-level (e.g. hydrostatic bearing pressures) and high-level (e.g. delivered image quality) information
### Assistant:
NOT_RELEVANT: (e.g. delivered image quality)
VARIABLE: the telemetry information
CONDITION: information
AND: and
EFFECT_1: To meet this requirement
CAUSE_1: the telemetry information needs to include both low-level
CAUSE_2: information
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall be capable of storing all technical data that is necessary for operations for the lifetime of the observatory
### Assistant:
VARIABLE: The TMT Observatory
CONDITION: is necessary for operations for the lifetime of the observatory
KEYWORD: that
EFFECT_1: The TMT Observatory shall be capable of storing all technical data
CAUSE_1: is necessary for operations for the lifetime of the observatory
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory in the construction phase shall provide technical data storage capacity and software capabilities for 5 years of operations
### Assistant:
VARIABLE: phase
KEYWORD: in
CONDITION: software capabilities for 5 years of operations
CAUSE_1: the construction phase
AND: and
EFFECT_1: shall provide technical data storage capacity
EFFECT_2: software capabilities for 5 years of operations
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory subsystems shall implement private data caches in the case they require large volume outside the data management system budget
### Assistant:
VARIABLE: they
CONDITION: require large volume outside the data management system budget
KEYWORD: in the case
EFFECT_1: The TMT Observatory subsystems shall implement private data caches
CAUSE_1: they require large volume outside the data management system budget
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall update system performance information periodically as required to provide adequate monitoring
### Assistant:
VARIABLE: adequate monitoring
CONDITION: to provide
CAUSE_1: The TMT Observatory shall update system performance information periodically as required
EFFECT_1: to provide adequate monitoring
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall generate a set of automatic reports based on engineering telemetry for the purposes of monitoring technical performance
### Assistant:
VARIABLE: technical performance
CONDITION: monitoring
KEYWORD: for the purposes of
CAUSE_1: The TMT Observatory shall generate a set of automatic reports based on engineering telemetry
EFFECT_1: monitoring technical performance
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory in steady-state operation shall use no more than 24 nights per year for scheduled engineering time
### Assistant:
VARIABLE: operation
KEYWORD: in
CONDITION: shall use no more than 24 nights per year for scheduled engineering time
EFFECT_1: shall use no more than 24 nights per year for scheduled engineering time
CAUSE_1: steady-state operation
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall record the descriptions and time required to recover from each event for tracking and analysis purposes
### Assistant:
VARIABLE: analysis
CONDITION: time required to recover from each event
AND: and
KEYWORD: purposes
CAUSE_1: The TMT Observatory shall record the descriptions
CAUSE_2: time required to recover from each event
EFFECT_1: tracking
EFFECT_2: analysis
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory in steady operations shall establish and maintain a data interface requirement and definitions document
### Assistant:
VARIABLE: operations
KEYWORD: in
CONDITION: definitions document
CAUSE_1: steady operations
AND: and
EFFECT_1: shall establish
EFFECT_2: maintain a data interface requirement
EFFECT_3: definitions document
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Discussion: During operations, the TMT ES&H program is the responsibility of the TMT Director
### Assistant:
NOT_RELEVANT: Discussion
KEYWORD: During
VARIABLE: the TMT ES&H program
CONDITION: is the responsibility of the TMT Director
CAUSE_1: operations
EFFECT_1: the TMT ES&H program is the responsibility of the TMT Director
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
To accomplish detailed ES&H planning, documentation and surveillance, a TMT ES&H Officer shall be appointed
### Assistant:
VARIABLE: a TMT ES&H Officer
CONDITION: shall be appointed
AND: and
CAUSE_1: a TMT ES&H Officer shall be appointed
EFFECT_1: To accomplish detailed ES&H planning
EFFECT_2: documentation
EFFECT_3: surveillance
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Incorporate Safety Devices: Fixed, automatic or other protective devices shall be used in conjunction with the design features to attain an acceptable level of risk
### Assistant:
NOT_RELEVANT: Incorporate Safety Devices:
OR: or
VARIABLE: an acceptable level of risk
CONDITION: to attain
EFFECT_1: to attain an acceptable level of risk
CAUSE_1: Fixed
CAUSE_2: automatic
CAUSE_3: other protective devices shall be used in conjunction with the design features
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Procedures and Training: Where it is impractical to substantially eliminate or reduce the hazard or where the condition of the hazard indicates additional emphasis, special operating procedures and training will be used
### Assistant:
NOT_RELEVANT: Procedures and Training:
KEYWORD: where
VARIABLE: training
CONDITION: will be used
OR: or
AND: and
CAUSE_1: it is impractical to substantially eliminate
CAUSE_2: reduce the hazard
CAUSE_3: the condition of the hazard indicates additional emphasis
EFFECT_1: special operating procedures
EFFECT_2: training will be used
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The TMT Observatory shall minimize the emission of all electromagnetic radiation that might interfere with either itself or possible nearby future astronomical facilities
### Assistant:
VARIABLE: The TMT Observatory
CONDITION: possible nearby future astronomical facilities
KEYWORD: that
OR: or
EFFECT_1: The TMT Observatory shall minimize the emission of all electromagnetic radiation
CAUSE_1: might interfere with either itself
CAUSE_2: possible nearby future astronomical facilities
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Editorial changes or changes to ensure coherency with the conventions and terms defined in annex C are not necessarily tracked
### Assistant:
VARIABLE: changes
OR: or
CONDITION: Editorial
AND: and
EFFECT_1: are not necessarily tracked
CAUSE_1: Editorial changes
CAUSE_2: changes to ensure coherency with the conventions
CAUSE_3: terms defined in annex C
NEGATION: are not
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Submitted for approval by Council after review and endorsement by STG #73 on 09th October 2018
### Assistant:
CONDITION: by STG #73 on 09th October 2018
KEYWORD: after
VARIABLE: endorsement
AND: and
EFFECT_1: Submitted for approval by Council
CAUSE_1: review
CAUSE_2: endorsement by STG #73 on 09th October 2018
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Actual performances of the services of the system will be described in the Operational Services Specification after the system has been commissioned
### Assistant:
VARIABLE: the system
CONDITION: has been commissioned
KEYWORD: after
EFFECT_1: Actual performances of the services of the system will be described in the Operational Services Specification
CAUSE_1: the system has been commissioned
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The requirements affected by the instruments performance will be updated in the issue 5 of the [EURD] foreseen after the CDRs and before the launch
### Assistant:
VARIABLE: the launch
CONDITION: will be updated in the issue 5 of the [EURD] foreseen
KEYWORD: before
AND: and
CAUSE_1: The requirements affected by the instruments performance
EFFECT_1: will be updated in the issue 5 of the [EURD] foreseen
CAUSE_2: the CDRs
CAUSE_3: the launch
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Increase by 18% if a single normal resolution channel is replaced by the corresponding high resolution channel
### Assistant:
CONDITION: is replaced by the corresponding high resolution channel
EFFECT_1: Increase by 18%
KEYWORD: if
VARIABLE: a single normal resolution channel
CAUSE_1: a single normal resolution channel is replaced by the corresponding high resolution channel
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Increase by 25% if a single high resolution channel is on top of the corresponding normal resolution channel
### Assistant:
CONDITION: is on top of the corresponding normal resolution channel
EFFECT_1: Increase by 25%
KEYWORD: if
VARIABLE: a single high resolution channel
CAUSE_1: a single high resolution channel is on top of the corresponding normal resolution channel
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Should there be a risk that one minute is not achievable, the situation will be reported and reconsidered in particular at the CDR
### Assistant:
KEYWORD: Should there be a risk that
CONDITION: reconsidered in particular at the CDR
VARIABLE: the situation
AND: and
CAUSE_1: one minute is not achievable
EFFECT_1: the situation will be reported
EFFECT_2: reconsidered in particular at the CDR
NEGATION: is not
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If not sufficient, bottleneck will be identified and a further design improvement will be considered taking benefit of technology evolution
### Assistant:
KEYWORD: If
CONDITION: will be considered taking benefit of technology evolution
CAUSE_1: not sufficient
VARIABLE: a further design improvement
AND: and
EFFECT_1: bottleneck will be identified
EFFECT_2: a further design improvement will be considered taking benefit of technology evolution
NEGATION: not
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The situation will be re-assessed at each milestone
### Assistant:
VARIABLE: milestone
CONDITION: each
KEYWORD: at
EFFECT_1: The situation will be re-assessed
CAUSE_1: each milestone
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The system shall provide the operational MTG missions (and the related services) when the supporting satellites are located within the nominal longitude range between 10°W and 10°E
### Assistant:
VARIABLE: the supporting satellites
CONDITION: are located within the nominal longitude range between 10°W and 10°E
KEYWORD: when
EFFECT_1: The system shall provide the operational MTG missions
NOT_RELEVANT: (and the related services)
CAUSE_1: the supporting satellites are located within the nominal longitude range between 10°W and 10°E
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The capability to support simultaneously the FDSS and RSS service using a single satellite is verified during MTG-I1 commissioning
### Assistant:
VARIABLE: MTG-I1
CONDITION: commissioning
KEYWORD: during
EFFECT_1: The capability to support simultaneously the FDSS and RSS service using a single satellite is verified
CAUSE_1: MTG-I1 commissioning
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
As defined in [CONV], the quality threshold is met when the requirements on completeness, accuracy and timeliness are fulfilled
### Assistant:
VARIABLE: timeliness
CONDITION: are fulfilled
KEYWORD: when
AND: and
EFFECT_1: the quality threshold is met
CAUSE_1: the requirements on completeness
CAUSE_2: accuracy
CAUSE_3: timeliness are fulfilled
NOT_RELEVANT: As defined in [CONV]
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Unless otherwise stated the requirements in this section apply: to all repeat cycles over each MTG-I satellite specified lifetime
### Assistant:
NEGATION: Unless
CONDITION: apply: to all repeat cycles over each MTG-I satellite specified lifetime
VARIABLE: the requirements in this section
CAUSE_1: otherwise stated
EFFECT_1: the requirements in this section apply: to all repeat cycles over each MTG-I satellite specified lifetime
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
For the assessment of the completeness of the data delivered to the End-Users, the last bullet d) has to be ignored, if it is due to a transient loss of dataset during the transmission
### Assistant:
KEYWORD: For
VARIABLE: it
CONDITION: is due to a transient loss of dataset during the transmission
CAUSE_1: the assessment of the completeness of the data delivered to the End-Users
EFFECT_1: the last bullet d) has to be ignored
CAUSE_2: it is due to a transient loss of dataset during the transmission
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Unless otherwise stated the requirements in this section apply: to all repeat cycles over each MTG-S satellite specified lifetime
### Assistant:
NEGATION: Unless
CONDITION: apply: to all repeat cycles over each MTG-S satellite specified lifetime
CAUSE_1: otherwise stated
VARIABLE: the requirements in this section
EFFECT_1: the requirements in this section apply: to all repeat cycles over each MTG-S satellite specified lifetime
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The IRS spectral sample spectral response function difference between the actual spectral response function averaged over one day, and that given by the SRF Estimation model shall not exceed a value corresponding to a radiometric error of 50 mK (NEdT@280K) when considering a spatially homogeneous scene and the spectra given by Figure 10
### Assistant:
VARIABLE: the spectra given by Figure 10
AND: and
CONDITION: considering
NEGATION: shall not
KEYWORD: when
EFFECT_1: The IRS spectral sample spectral response function difference between the actual spectral response function averaged over one day
EFFECT_2: that given by the SRF Estimation model shall not exceed a value corresponding to a radiometric error of 50 mK (NEdT@280K)
CAUSE_1: considering a spatially homogeneous scene
CAUSE_2: the spectra given by Figure 10
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The absolute value of the IRS relative sample position error (RSPE) between any two spectral channels shall meet the requirements in Table 10 when evaluated over a LAC
### Assistant:
CONDITION: shall meet the requirements in Table 10
KEYWORD: when
CAUSE_1: evaluated over a LAC
VARIABLE: The absolute value of the IRS relative sample position error (RSPE) between any two spectral channels
EFFECT_1: The absolute value of the IRS relative sample position error (RSPE) between any two spectral channels shall meet the requirements in Table 10
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The absolute value of the IRS absolute sample position knowledge error (ASPKE) when evaluated over a single dwell shall be as given in Table 11
### Assistant:
VARIABLE: The absolute value of the IRS absolute sample position knowledge error (ASPKE)
KEYWORD: when
CONDITION: shall be as given in Table 11
CAUSE_1: evaluated over a single dwell
EFFECT_1: shall be as given in Table 11
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
If the energy exceeds this threshold, it is identified as an LI Triggered Event
### Assistant:
KEYWORD: If
VARIABLE: it
CONDITION: is identified as an LI Triggered Event
CAUSE_1: the energy exceeds this threshold
EFFECT_1: it is identified as an LI Triggered Event
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
During the ground Level 0 to Level 1 processing, the LI triggered events are filtered to minimise false alarms
### Assistant:
KEYWORD: During
VARIABLE: false alarms
CONDITION: to minimise
CAUSE_1: the ground Level 0 to Level 1 processing
CAUSE_2: the LI triggered events are filtered
EFFECT_1: to minimise false alarms
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In parallel the LI background radiance images are processed to improve the geolocation of the flashes
### Assistant:
VARIABLE: the geolocation of the flashes
CONDITION: to improve
CAUSE_1: In parallel the LI background radiance images are processed
EFFECT_1: to improve the geolocation of the flashes
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The coverage is to be achieved when the satellite is positioned at 0° longitude, with the requirement SYS-00130 not being applicable for the calculation of the coverage
### Assistant:
VARIABLE: the requirement SYS-00130
CONDITION: being applicable for the calculation of the coverage
KEYWORD: with
NEGATION: not
EFFECT_1: The coverage is to be achieved
CAUSE_1: the satellite is positioned at 0° longitude
CAUSE_2: the requirement SYS-00130 not being applicable for the calculation of the coverage
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In its nominal mode, the UVN data acquisition service will provide data over the Geographical Coverage Area (GCA) specified in Figure 11
### Assistant:
KEYWORD: In
VARIABLE: the UVN data acquisition service
CONDITION: will provide data over the Geographical Coverage Area (GCA) specified in Figure 11
CAUSE_1: its nominal mode
EFFECT_1: the UVN data acquisition service will provide data over the Geographical Coverage Area (GCA) specified in Figure 11
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In order to provide continuity to the present Meteosat Second Generation (MSG) programme and its set of derived products, the extraction of Level 2 product(s) is also foreseen as a key service for MTG
### Assistant:
KEYWORD: In order
VARIABLE: the extraction of Level 2 product(s)
CONDITION: is also foreseen as a key service for MTG
AND: and
EFFECT_1: to provide continuity to the present Meteosat Second Generation (MSG) programme
EFFECT_2: its set of derived products
CAUSE_1: the extraction of Level 2 product(s) is also foreseen as a key service for MTG
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In any case, each SAF makes available the catalogue of its own archive on the EUMETSAT Earth Observation Portal
### Assistant:
KEYWORD: In
VARIABLE: each SAF
CONDITION: makes available the catalogue of its own archive on the EUMETSAT Earth Observation Portal
CAUSE_1: any case
EFFECT_1: each SAF makes available the catalogue of its own archive on the EUMETSAT Earth Observation Portal
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
In this way, it is possible for end-users to browse the catalogue of SAF-generated products, as well as all of the centrally stored mission data
### Assistant:
KEYWORD: for
CONDITION: to browse the catalogue of SAF-generated products
VARIABLE: end-users
CAUSE_1: this way
AND: as well as
EFFECT_1: to browse the catalogue of SAF-generated products
EFFECT_2: all of the centrally stored mission data
CAUSE_2: end-users
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
A dataset arriving after the mentioned timeliness is not considered as available for the end-user
### Assistant:
VARIABLE: A dataset
CONDITION: considered as available for the end-user
CAUSE_1: A dataset arriving after the mentioned timeliness
EFFECT_1: is not considered as available for the end-user
NEGATION: is not
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
During development phase, the design will be scrutinized
### Assistant:
KEYWORD: During
VARIABLE: development phase
CONDITION: will be scrutinized
CAUSE_1: development phase
EFFECT_1: the design will be scrutinized
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Achieved when considering two MTG-I satellites in orbit
### Assistant:
CONDITION: considering
KEYWORD: when
VARIABLE: two MTG-I satellites in orbit
EFFECT_1: Achieved
CAUSE_1: considering two MTG-I satellites in orbit
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Otherwise redundancy is ensured via Cospas-Sarsat satellites overlapping
### Assistant:
VARIABLE: Cospas-Sarsat satellites
CONDITION: overlapping
KEYWORD: via
EFFECT_1: Otherwise redundancy is ensured
CAUSE_1: Cospas-Sarsat satellites overlapping
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
However some users may not have a proper internet access and thus an alternative way is provided here
### Assistant:
VARIABLE: an alternative way
CONDITION: is provided here
NEGATION: may not
KEYWORD: thus
AND: and
NOT_RELEVANT: However
CAUSE_1: some users may not have a proper internet access
EFFECT_1: an alternative way is provided here
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
The response time of the Helpdesk Function depends on whether the user request involves a bespoke response or an off-the-shelf response (e.g. one which can be found on the EO portal)
### Assistant:
VARIABLE: the user request
CONDITION: an off-the-shelf response
KEYWORD: whether
OR: or
EFFECT_1: The response time of the Helpdesk Function depends on
CAUSE_1: the user request involves a bespoke response
CAUSE_2: an off-the-shelf response
NOT_RELEVANT: (e.g. one which can be found on the EO portal)
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Multiprogramme and Corporative wide Help desk capabilities shall be upgraded to extend its service and coverage to MTG
### Assistant:
VARIABLE: coverage to MTG
AND: and
CONDITION: to extend
CAUSE_1: Multiprogramme
CAUSE_2: Corporative wide Help desk capabilities shall be upgraded
EFFECT_1: to extend its service
EFFECT_2: coverage to MTG
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
When delivering the services, the EUMETSAT [DATAPO] and the Sentinel-4 [DATAPO- S4] data policies are taken into account
### Assistant:
KEYWORD: When
VARIABLE: the Sentinel-4 [DATAPO- S4] data policies
CONDITION: are taken into account
AND: and
CAUSE_1: delivering the services
EFFECT_1: the EUMETSAT [DATAPO]
EFFECT_2: the Sentinel-4 [DATAPO- S4] data policies are taken into account
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
E_i and E_k are the atomic oxygen energy levels from which the transition wavelengths are derived
### Assistant:
VARIABLE: the transition wavelengths
AND: and
CONDITION: are derived
KEYWORD: from which
CAUSE_1: E_i
CAUSE_2: E_k are the atomic oxygen energy levels
EFFECT_1: the transition wavelengths are derived
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
After decryption and extraction of the packets from the frames the payload data is presented as: a copy of the housekeeping telemetry
### Assistant:
KEYWORD: After
CONDITION: is presented as: a copy of the housekeeping telemetry
AND: and
VARIABLE: the payload data
CAUSE_1: decryption
CAUSE_2: extraction of the packets from the frames
EFFECT_1: the payload data is presented as: a copy of the housekeeping telemetry
### END
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### Instruction:
Extract the cause and effect entities from the following sentence:
Platform auxiliary data is any auxiliary data derived from platform equipments that is not transmitted as part of the housekeeping telemetry
### Assistant:
VARIABLE: Platform auxiliary data
CONDITION: is
KEYWORD: any
EFFECT_1: Platform auxiliary data is
CAUSE_1: any auxiliary data derived from platform equipments
CAUSE_2: is not transmitted as part of the housekeeping telemetry
NEGATION: is not
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The IQT auxiliary data is the additional data produced by the IQT at the same time as the level 1 science data allowing the interpretation of the science data and providing the satellite and IQT model status
### Assistant:
VARIABLE: the interpretation of the science data
CONDITION: providing
AND: and
CAUSE_1: The IQT auxiliary data is the additional data produced by the IQT at the same time as the level 1 science data
EFFECT_1: allowing the interpretation of the science data
EFFECT_2: providing the satellite and IQT model status
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The Quality threshold is met when the requirements on Completeness, Accuracy and Timeliness are fulfilled
### Assistant:
VARIABLE: Timeliness
CONDITION: are fulfilled
KEYWORD: when
AND: and
EFFECT_1: The Quality threshold is met
CAUSE_1: the requirements on Completeness
CAUSE_2: Accuracy
CAUSE_3: Timeliness are fulfilled
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This implies that a short outage preventing a repeat cycle to be completed on time has to be considered as an outage of the whole repeat cycle
### Assistant:
NOT_RELEVANT: This implies that
VARIABLE: a short outage
CONDITION: has to be considered as an outage of the whole repeat cycle
CAUSE_1: a short outage preventing a repeat cycle to be completed on time
EFFECT_1: has to be considered as an outage of the whole repeat cycle
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
A dataset is complete if no data has been lost since its generation, unless a requirement in the product specification or service specification allows some losses (e.g. missing samples)
### Assistant:
VARIABLE: service specification
CONDITION: allows some losses
KEYWORD: if
NEGATION: unless
OR: or
EFFECT_1: A dataset is complete
CAUSE_1: no data has been lost since its generation,
CAUSE_2: unless a requirement in the product specification
CAUSE_3: service specification allows some losses
NOT_RELEVANT: (e.g. missing samples)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The scheduled outages are due to planned operations or predictable events
### Assistant:
VARIABLE: predictable events
CONDITION: are
KEYWORD: due to
OR: or
EFFECT_1: The scheduled outages are
CAUSE_1: planned operations
CAUSE_2: predictable events
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Other scheduled outages are mainly due to planned ground segment maintenance and should be less than 0.5%
### Assistant:
VARIABLE: planned ground segment maintenance
CONDITION: should be less than 0.5%
EFFECT_1: Other scheduled outages are mainly
KEYWORD: due to
AND: and
CAUSE_1: planned ground segment maintenance
EFFECT_2: should be less than 0.5%
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Also, the quality of around 5% of the acquired datasets per year may be degraded for some channels during eclipse seasons
### Assistant:
VARIABLE: eclipse seasons
CONDITION: may be degraded for some channels
KEYWORD: during
NOT_RELEVANT: Also
EFFECT_1: the quality of around 5% of the acquired datasets per year may be degraded for some channels
CAUSE_1: eclipse seasons
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Instrument decontamination requires that the Infrared sensors are switched off, thus interrupting the imaging in these channels
### Assistant:
VARIABLE: the imaging in these channels
CONDITION: interrupting
KEYWORD: thus
CAUSE_1: Instrument decontamination requires that the Infrared sensors are switched off
EFFECT_1: interrupting the imaging in these channels
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The decontamination may also require interrupting/degrading the other channels (due to distortions introduced by the IR decontamination)
### Assistant:
VARIABLE: distortions
CONDITION: introduced by the IR decontamination
OR: /
KEYWORD: due to
EFFECT_1: The decontamination may also require interrupting
EFFECT_2: degrading the other channels
CAUSE_1: distortions introduced by the IR decontamination
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Outage is typically one day once or twice per year, influence on other channels will be re-assessed once the satellite supplier / design is known
### Assistant:
VARIABLE: design
CONDITION: is known
KEYWORD: once
OR: /
NOT_RELEVANT: Outage is typically one day once or twice per year,
EFFECT_1: influence on other channels will be re-assessed
CAUSE_1: the satellite supplier
CAUSE_2: design is known
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Frequency and duration will be refined once the platform supplier / design is known
### Assistant:
VARIABLE: design
AND: and
CONDITION: is known
KEYWORD: once
OR: /
EFFECT_1: Frequency
EFFECT_2: duration will be refined
CAUSE_1: the platform supplier
CAUSE_2: design is known
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
When the Sun enters the main lobe of the ground station antenna, this may prevent the proper reception of the Ka-Band link
### Assistant:
KEYWORD: When
VARIABLE: the Ka-Band link
CONDITION: the proper reception of
NOT_RELEVANT: this may
CAUSE_1: the Sun enters the main lobe of the ground station antenna
EFFECT_1: prevent the proper reception of the Ka-Band link
NEGATION: prevent
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The extend of the co-linearity effect will be re-assessed once the MDA sites and characteristics are known
### Assistant:
VARIABLE: characteristics
CONDITION: are known
KEYWORD: once
AND: and
EFFECT_1: The extend of the co-linearity effect will be re-assessed
CAUSE_1: the MDA sites
CAUSE_2: characteristics are known
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Some ground segment maintenance may not be achievable without service interruption (e.g. to swap between a prime and redundant service)
### Assistant:
VARIABLE: service interruption
NEGATION: may not
CONDITION: be achievable
KEYWORD: without
NOT_RELEVANT: (e.g. to swap between a prime and redundant service)
EFFECT_1: Some ground segment maintenance may not be achievable
CAUSE_1: service interruption
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The quality degradation around the eclipse is primarily due to stray light and thermal effects
### Assistant:
VARIABLE: thermal effects
AND: and
KEYWORD: due to
NOT_RELEVANT: primarily
CONDITION: is
EFFECT_1: The quality degradation around the eclipse is
CAUSE_1: stray light
CAUSE_2: thermal effects
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
This des all the unscheduled outages, thus a precise list cannot be made
### Assistant:
VARIABLE: a precise list
CONDITION: be made
KEYWORD: thus
CAUSE_1: This des all the unscheduled outages
EFFECT_1: a precise list cannot be made
NEGATION: cannot
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The most Ground segment reconfiguration may cause outages, however such maintenance activities are normally scheduled in advance
### Assistant:
VARIABLE: such maintenance activities
CONDITION: are normally scheduled in advance
CAUSE_1: The most Ground segment reconfiguration
EFFECT_1: may cause outages
NOT_RELEVANT: however
EFFECT_2: such maintenance activities are normally scheduled in advance
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
For MTG the payload comprises FCI, IRS, LI, UVN, DCP and SAR when embarked on their respective satellites
### Assistant:
VARIABLE: MTG
CONDITION: embarked on their respective satellites
KEYWORD: For
CAUSE_1: MTG
EFFECT_1: the payload comprises FCI, IRS, LI, UVN, DCP and SAR
CAUSE_2: embarked on their respective satellites
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The part of the MTG System that is on ground and encompasses all software and hardware resources (including communication) to enable operations of all in-orbit MTG satellites, interfacing with external entities (e.g. Launch provider, satellite manufacturer, ECMWF) and provision of the services to the end-users with high operational availability
### Assistant:
VARIABLE: the services to the end-users with high operational availability
KEYWORD: that
CONDITION: provision of
AND: and
CAUSE_1: is on ground
CAUSE_2: encompasses all software
CAUSE_3: hardware resources
EFFECT_1: to enable operations of all in-orbit MTG satellites
EFFECT_2: interfacing with external entities
EFFECT_3: provision of the services to the end-users with high operational availability
NOT_RELEVANT: (e.g. Launch provider, satellite manufacturer, ECMWF)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The retrieved archived datasets can be tailored (e.g. spectral and spatial sub-setting) prior to media / online dataset delivery
### Assistant:
VARIABLE: online dataset delivery
CONDITION: can be tailored
OR: /
EFFECT_1: The retrieved archived datasets can be tailored
CAUSE_1: media
CAUSE_2: online dataset delivery
NOT_RELEVANT: (e.g. spectral and spatial sub-setting)
NEGATION: prior to
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
It uses commercial telecommunication geostationary satellites to multicast files (e.g. Level 1 dataset, Level 2 products) to the user community
### Assistant:
VARIABLE: files
CONDITION: to the user community
CAUSE_1: It uses commercial telecommunication geostationary satellites
EFFECT_1: to the user community
NOT_RELEVANT: (e.g. Level 1 dataset, Level 2 products)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
For MTG the basic sense of WMO data levels is maintained, without the concept that the science data has to be at instrument pixel resolution
### Assistant:
KEYWORD: For
VARIABLE: the concept that the science data has to be at instrument pixel resolution
CONDITION: is maintained
NEGATION: without
CAUSE_1: MTG
EFFECT_1: the basic sense of WMO data levels is maintained
CAUSE_2: the concept that the science data has to be at instrument pixel resolution
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Level 1a data is level 0 science data in counts after removal from the packets, whilst maintaining the spatio-temporal sequencing of the data
### Assistant:
VARIABLE: the spatio-temporal sequencing of the data
CONDITION: removal from the packets
KEYWORD: whilst
EFFECT_1: Level 1a data is level 0 science data in counts
CAUSE_1: removal from the packets
CAUSE_2: maintaining the spatio-temporal sequencing of the data
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Level 2 relates to level 1b or level 1c science data converted to geophysical values (temperature, humidity, radiative flux…) during application ground processing
### Assistant:
VARIABLE: application ground processing
CONDITION: level 1c science data converted to geophysical values (temperature, humidity, radiative flux…)
OR: or
KEYWORD: during
EFFECT_1: Level 2 relates to level 1b
EFFECT_2: level 1c science data converted to geophysical values (temperature, humidity, radiative flux…)
CAUSE_1: application ground processing
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The points are defined using the same projection as the reference grid
### Assistant:
VARIABLE: the same projection as the reference grid
CONDITION: using
EFFECT_1: The points are defined
CAUSE_1: using the same projection as the reference grid
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Full Disc Coverage (FDC) is defined as the maximum area of coverage required from an instrument, particularly if this involves the complete coverage of the Earth disc
### Assistant:
KEYWORD: if
VARIABLE: Full Disc Coverage (FDC)
CONDITION: is defined as the maximum area of coverage required from an instrument
CAUSE_1: this involves the complete coverage of the Earth disc
NOT_RELEVANT: particularly
EFFECT_1: Full Disc Coverage (FDC) is defined as the maximum area of coverage required from an instrument
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
In cases where more than one LAC zone are in use the LAC zones should be numbered from south to north starting from 1; see Figure 6 and Figure 7
### Assistant:
KEYWORD: In cases where
VARIABLE: the LAC zones
CONDITION: should be numbered from south to north starting from 1
CAUSE_1: more than one LAC zone are in use
EFFECT_1: the LAC zones should be numbered from south to north starting from 1
NOT_RELEVANT: see Figure 6 and Figure 7
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The dwells within a LAC zone are numbered in the order of acquisition starting from 1; see Figure 10
### Assistant:
VARIABLE: The dwells
CONDITION: are numbered in the order of acquisition starting from 1
NOT_RELEVANT: see Figure 1
CAUSE_1: The dwells within a LAC zone
EFFECT_1: are numbered in the order of acquisition starting from 1
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
For data from other sources (e.g. LI triggered event or from satellite platform), an accumulation interval may be defined
### Assistant:
VARIABLE: an accumulation interval
CONDITION: may be defined
KEYWORD: For
CAUSE_1: data from other sources
EFFECT_1: an accumulation interval may be defined
NOT_RELEVANT: (e.g. LI triggered event or from satellite platform)
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The detector element responds to incoming radiation to produce a signal that can be converted from an analogue to a digital format
### Assistant:
VARIABLE: a signal that can be converted from an analogue to a digital format
CONDITION: to produce
CAUSE_1: The detector element responds to incoming radiation
EFFECT_1: to produce a signal that can be converted from an analogue to a digital format
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
For the FCI: A radiance sample is deemed a missing sample if either no measurement has been returned or the difference between its radiometric error and the radiometric accuracy is more than N times the specified radiometric noise for a specific repeat cycle
### Assistant:
NOT_RELEVANT: For the FCI:
VARIABLE: the difference between its radiometric error and the radiometric accuracy
CONDITION: is more than N times the specified radiometric noise for a specific repeat cycle
KEYWORD: if
OR: or
NEGATION: no
EFFECT_1: A radiance sample is deemed a missing sample
CAUSE_1: no measurement has been returned
CAUSE_2: the difference between its radiometric error and the radiometric accuracy is more than N times the specified radiometric noise for a specific repeat cycle
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The parameters M and N are given in the requirement for missing sounding
### Assistant:
KEYWORD: for
VARIABLE: N
CONDITION: are given in the requirement
AND: and
CAUSE_1: missing sounding
EFFECT_1: The parameters M
EFFECT_2: N are given in the requirement
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The term spectral variable will be used in all the statements that are applicable to any one of the above mentioned quantities
### Assistant:
KEYWORD: that
VARIABLE: The term spectral variable
CONDITION: are applicable to any one of the above mentioned quantities
EFFECT_1: The term spectral variable will be used in all the statements
CAUSE_1: are applicable to any one of the above mentioned quantities
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
For the IRS: A spectral channel is defined after spectral resampling of the measured spectral samples to a discrete spectral positions separated according to the spectral channel interval within the spectral band
### Assistant:
VARIABLE: the measured spectral samples to a discrete spectral positions
NOT_RELEVANT: For the IRS:
CONDITION: separated according to the spectral channel interval within the spectral band
KEYWORD: after
EFFECT_1: A spectral channel is defined
CAUSE_1: spectral resampling of the measured spectral samples to a discrete spectral positions separated according to the spectral channel interval within the spectral band
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spectral channel, identified by the index k, has an associated spectral variable, ξ k, where this location corresponds to the position of its spectral response function centroid
### Assistant:
VARIABLE: this location
CONDITION: corresponds to the position of its spectral response function centroid
KEYWORD: where
CAUSE_1: The spectral channel, identified by the index k, has an associated spectral variable, ξ k,
EFFECT_1: this location corresponds to the position of its spectral response function centroid
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Together the spatial properties are referred to as the spatial sample or pixel depending on whether the radiance sample has been located on the estimated grid or the reference grid respectively
### Assistant:
VARIABLE: the radiance sample
CONDITION: the reference grid respectively
OR: or
KEYWORD: depending on whether
NOT_RELEVANT: Together
EFFECT_1: the spatial properties are referred to as the spatial sample
EFFECT_2: pixel
CAUSE_1: the radiance sample has been located on the estimated grid
CAUSE_2: the reference grid respectively
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
The spectral channel is fixed by the optical and detector element spectral filtering characteristics
### Assistant:
VARIABLE: detector element spectral filtering characteristics
CONDITION: is fixed
KEYWORD: by
AND: and
EFFECT_1: The spectral channel is fixed
CAUSE_1: the optical
CAUSE_2: detector element spectral filtering characteristics
### END
|
### Instruction:
Extract the cause and effect entities from the following sentence:
Once the spectral sounding interferogram has been Fourier transformed to the spectral domain a series of spectral samples are obtained, each with its own radiance sample
### Assistant:
KEYWORD: each
VARIABLE: a series of spectral samples
CONDITION: with its own radiance sample
CAUSE_1: the spectral sounding interferogram has been Fourier transformed to the spectral domain
EFFECT_1: a series of spectral samples are obtained
EFFECT_2: with its own radiance sample
### END
|