cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/8bddcabb96edd820f3ad28d0852846d5
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP G-SUMM met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/1092fdb0907451350712bebf73be5f78
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP G-SUMM met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/93f4c9f415660fcc39a484dc245bc277
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP G-SUMM met station. Average air temperature, relative humidity, wind speed, wind direction, and solar radiation are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/db55ef9694817d42141c5e52bbef1bc8
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP G-SUMM met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction; solar radiation; albedo. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Solar radiation is measured at 3m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/8d04c04048267a776591a052be3aa964
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP G-SUMM met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP G-SUMM site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437021, knb-lter-jrn.210437036, and knb-lter-jrn.210437051 for the NPP G-SUMM met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.34740/kaggle/dsv/2390341
title: Ethereum Blockchain
DOI: 10.6073/pasta/7bd7bcd2a0e3e9ea91a2352e3cbf0f4d
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP G-SUMM met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/70e67f3363e4c421cb0f4f34632417ac
title: Jornada Basin LTER: Wireless meteorological station at NPP G-SUMM site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP G-SUMM met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.5281/zenodo.5043996
title: Barefoot Rover MINS30 Material Data

description: This archive contains test data of the Barefoot Rover wheel on MINS30 material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.5281/zenodo.5043995
title: Barefoot Rover MINS30 Material Data

description: This archive contains test data of the Barefoot Rover wheel on MINS30 material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.6073/pasta/ce51e5463b3aedd57287daf34d4270d0
title: Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: 5-minute summary air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP M-NORT met station. Average air temperature measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-NORT site. Air temperature is measured at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.5065274
title: Multilayer social networks reveal the social complexity of a cooperatively breeding bird

description: Focal observations of Arabian babblers (<em>Argya squamiceps</em>). The folder contains adjacency matrices of nine social groups observed between 2017 and 2020. Some of the groups were observed multiple times, the complete list of group rounds is also provided. We recorded six different interaction types, hence the folder contains a total of 114 adjacency matrices.
DOI: 10.5281/zenodo.5065273
title: Multilayer social networks reveal the social complexity of a cooperatively breeding bird

description: Focal observations of Arabian babblers (<em>Argya squamiceps</em>). The folder contains adjacency matrices of nine social groups observed between 2017 and 2020. Some of the groups were observed multiple times, the complete list of group rounds is also provided. We recorded six different interaction types, hence the folder contains a total of 114 adjacency matrices.
DOI: 10.6073/pasta/56616871f15f625ab2f321a6994758b4
title: Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP M-NORT met station. Average/maximum/minimum air temperature; average relative humidity. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-NORT site. Air temperature and relative humidity are measured at approximately 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/b239663809ba2cf227224f3521ba1e05
title: Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP M-NORT met station. Average air temperature and relative humidity are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP G-SUMM site. Air temperature and relative humidity are measured at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/e7d7e8c19faa914e057a62e4ffad96ed
title: Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP M-NORT met station. Average/maximum/minimum air temperature; average/maximum relative humidity. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-NORT site. Air temperature and relative humidity are measured at approximately 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/04451aa7dba7be77b8d3c65f9e32725b
title: Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP M-NORT met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP M-NORT site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437022, knb-lter-jrn.210437037, and knb-lter-jrn.210437052 for the NPP M-NORT met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.5281/zenodo.5044815
title: Barefoot Rover MMCRSE Material Data

description: This archive contains test data of the Barefoot Rover wheel on MMCRSE material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.5281/zenodo.5044814
title: Barefoot Rover MMCRSE Material Data

description: This archive contains test data of the Barefoot Rover wheel on MMCRSE material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.6073/pasta/8a30db532f33a426dd5a4a88d48fcada
title: Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP M-NORT met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP M-NORT site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/2287400dd46a16ec12781e4e2caa7e2b
title: Jornada Basin LTER: Wireless meteorological station at NPP M-NORT site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP M-NORT met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP M-NORT site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.5281/zenodo.5044819
title: Barefoot Rover MMINTR Material Data

description: This archive contains test data of the Barefoot Rover wheel on MMINTR material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.5281/zenodo.5044818
title: Barefoot Rover MMINTR Material Data

description: This archive contains test data of the Barefoot Rover wheel on MMINTR material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.5439/1804858
title: ARM: CAMAERI

description: caminst
DOI: 10.6084/m9.figshare.14904258
title: data_couple stress.xlsx

description: Data is provided to the topology optimization related to size effect.
DOI: 10.5281/zenodo.5044813
title: Barefoot Rover MM2MM Material Data

description: This archive contains test data of the Barefoot Rover wheel on MM2MM material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.5281/zenodo.5044812
title: Barefoot Rover MM2MM Material Data

description: This archive contains test data of the Barefoot Rover wheel on MM2MM material. The Barefoot Rover wheel was used to demonstrate an instrumented wheel concept which utilizes a 2D pressure grid, an electrochemical impedance spectroscopy (EIS) sensor and machine learning (ML) to extract meaningful metrics from the interaction between the wheel and surface terrain. These include continuous slip/skid estimation, balance, and sharpness for engineering applications. Estimates of surface hydration, texture, terrain patterns, and regolith physical properties such as cohesion and angle of internal friction are additionally calculated for science applications. Traditional systems rely on post-processing of visual images and vehicle telemetry to estimate these metrics. Through in-situ sensing, these metrics can be calculated in near real time and made available to onboard science and engineering autonomy applications. This work aims to provide a deployable system for future planetary exploration missions to increase science and engineering capabilities through increased knowledge of the terrain. More detailed information about data structures, material properties and test configurations can be found here: https://github.com/JPLMLIA/Barefoot_Rover/tree/master/data
DOI: 10.6073/pasta/f64f0f52d05af3734483faeb219ca9a4
title: Jornada Basin LTER: Wireless meteorological station at NPP M-RABB site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP M-RABB met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP M-NORT site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.