cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/dfbedf5c5c5971f6a564f6b2edcc4857
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.5281/zenodo.5384887
title: Test input dataset for simulation of supercapacitors

description: Metalwalls is an application for simulating supercapacitors, developed by CNRS and used in the context of H2020 FET-HPC EXA2PRO project. This dataset contains application test input of various sizes.
description: {"references": ["Marin-Lafl\u00e8che, Abel, et al. \"MetalWalls: A classical molecular dynamics software dedicated to the simulation of electrochemical systems.\" Journal of Open Source Software 5.53 (2020): 2373.", "Papadopoulos, Lazaros, et al. \"EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems.\" IEEE Transactions on Parallel and Distributed Systems (2021)."]}
DOI: 10.5281/zenodo.5384886
title: Test input dataset for simulation of supercapacitors

description: Metalwalls is an application for simulating supercapacitors, developed by CNRS and used in the context of H2020 FET-HPC EXA2PRO project. This dataset contains application test input of various sizes.
description: {"references": ["Marin-Lafl\u00e8che, Abel, et al. \"MetalWalls: A classical molecular dynamics software dedicated to the simulation of electrochemical systems.\" Journal of Open Source Software 5.53 (2020): 2373.", "Papadopoulos, Lazaros, et al. \"EXA2PRO: A Framework for High Development Productivity on Heterogeneous Computing Systems.\" IEEE Transactions on Parallel and Distributed Systems (2021)."]}
DOI: 10.5281/zenodo.5384768
title: Natural Language-Guided Programming User Study

description: In this dataset you find the user study data that was used in the <strong><em>Natural Language-Guided Programming</em></strong> paper, which is accepted for Onward! 2021. A preprint can be found here https://arxiv.org/pdf/2108.05198.pdf. The dataset consists of the following files: benchmark.json contains 201 test cases. Each test case consists of context, a natural language intent and target code. The test cases are intended to evaluate a model that can predict code giving a piece of context code and a natural language intent. The test cases were derived from Jupyter notebooks that were crawled from Github projects with permissive licenses. In the project_metadata field you find information about the original project such as its git url and license. predictions-annotated.json contains predictions of the three models used in the paper for 100 test cases in benchmark.json. Each prediction is accompanied with qualitive assesments from three annotators. train-index.jsonl is the list of github projects that were used for training the models. eval-index.jsonl is a list of github projects that we kept separate for evaluation. The benchmark.json was created from a random subset of the projects in this list. For more details we refer to the paper.
DOI: 10.5281/zenodo.5384767
title: Natural Language-Guided Programming User Study

description: In this dataset you find the user study data that was used in the <strong><em>Natural Language-Guided Programming</em></strong> paper, which is accepted for Onward! 2021. A preprint can be found here https://arxiv.org/pdf/2108.05198.pdf. The dataset consists of the following files: benchmark.json contains 201 test cases. Each test case consists of context, a natural language intent and target code. The test cases are intended to evaluate a model that can predict code giving a piece of context code and a natural language intent. The test cases were derived from Jupyter notebooks that were crawled from Github projects with permissive licenses. In the project_metadata field you find information about the original project such as its git url and license. predictions-annotated.json contains predictions of the three models used in the paper for 100 test cases in benchmark.json. Each prediction is accompanied with qualitive assesments from three annotators. train-index.jsonl is the list of github projects that were used for training the models. eval-index.jsonl is a list of github projects that we kept separate for evaluation. The benchmark.json was created from a random subset of the projects in this list. For more details we refer to the paper.
DOI: 10.5525/gla.researchdata.1184
title: In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2

description: Mixture of excel and Prism files. Each data set is in a file related to the figure it's used in to create it.
DOI: 10.6073/pasta/76cc509e431b55ed567873d4cae2de3d
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/fd6b6b6aca65aac2cedd6db0033efd50
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.5281/zenodo.5383832
title: VGP assembly training datasets

description: This Zenodo repository includes the required datasets for following the VGP assembly training.
DOI: 10.25966/8st2-jz22
title: GEOSCCM Winds and Ozone

description: This data set includes GEOSCCM simulations of zonal wind, meridional wind, and ozone at 100 hPa in a control and 4xCO2 simulations.
DOI: 10.6073/pasta/590f9cf0bcbb5d7e19c0c049bd78ff36
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-10. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/d28e90b3e9ac8fac2197e94c12215f0b
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-10. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-10 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/3badf1c66bf0f068ff12a208a9a38307
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: Daily summary data: 2013 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-10 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.6073/pasta/75ac0ab86760d52c59c513ac3877c3ba
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 10 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-10 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 CSIS Block-10 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. 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.
DOI: 10.3886/e119513v1-95422
title: Data and Code for: Emissions, Transmission, and the Environmental Value of Renewable Energy

description: We examine how transmission congestion alters the environmental benefits provided by renewable generation. Using hourly data from the Texas and Mid-Continent electricity markets, we find that relaxing transmission constraints between the wind-rich areas and the demand centers of the respective markets conservatively increases the non-market value of wind by 30% for Texas and 17% for Mid-Continent markets. Much of this increase in the non-market value arises from a redistribution in where air quality improvements occur - when transmission is not constrained, wind offsets much more pollution from fossil fuel units located near highly populated demand centers.<br>
DOI: 10.6084/m9.figshare.16559982
title: Increased Temporal Variability of Gait in ASD: A Motion Capture and Machine Learning Analysis

description: This is the raw temporal gait data used in the paper entitled: "Increased Temporal Variability of Gait in ASD: A Motion Capture and Machine Learning Analysis", submitted to Journal of Autism and Developmental Disorders (JADD)<br><br>The dataset was the result of an MRes studentship funded by KESS. <br>The dataset includes the raw gait data for 16 ASD participants and 16 age matched TD participants. <br>The gait data details the timing of the participant's foot strike and toe off as captured by VICON Motion capture system. The raw values gave numerical data captured at a rate of 250 Hz (a frame captured every 4 milliseconds). This means to convert any values (i.e. time taken between 'toe off' and 'foot strike') the number needs to be multiplied by 4.
DOI: 10.6084/m9.figshare.13359632
title: Infrared Image Super-Resolution via Transfer Learning and PSRGAN

description: PSRGAN Datasets<br>Please check this link for more information.<br><br>https://hyongsong.work/<br>
DOI: 10.5519/qd.51ewk8dd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2066 records)
DOI: 10.6073/pasta/d46623a2add98ede305df73e95633573
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-11. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-11 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/2925184ecb024560cf1a835d17a6e39a
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-11. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-11 site. This is an ONGOING dataset.
DOI: 10.6073/pasta/2e67ca6009c063ca4dda6ea4ea5eb3b6
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 11 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-11 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 CSIS Block-11 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. 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.
DOI: 10.6073/pasta/19f168d4b482fdf53dee886451eb5782
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.9785438
title: Single Image Super-Resolution: Depthwise Separable Convolution Super-Resolution Generative Adversarial Network

description: The DIV2K dataset, which includes 800 training images and 2K resolution, was selected as the training data<br>Please check this link for more information.<br><br>https://hyongsong.work/
DOI: 10.5281/zenodo.5388452
title: Super Code Clone Detection - 88 (SCD-88)

description: SCD-88 is the Python-specific subset of the Cross-Language Clone Detection dataset which was originally extracted from AtCoder, a popular Online Judge. We reformulate this classification task as a retrieval one where given a code and a collection of candidates as the input, the task is to return top-k codes with the same semantic. Models can hence, be evaluated by the MAP@R score. MAP@R is defined as the mean of average precision scores, each of which is evaluated for retrieving R most similar samples given a query. For a code (query), R is the number of other codes in the same class, i.e. R=129 in this dataset. The newly sampled dataset amounts to a total of 11,440 examples where the splits are as follows: 7800 / 1040 / 2600 (Train / Valid / Test).
DOI: 10.5281/zenodo.5388451
title: Super Code Clone Detection - 88 (SCD-88)

description: SCD-88 is the Python-specific subset of the Cross-Language Clone Detection dataset which was originally extracted from AtCoder, a popular Online Judge. We reformulate this classification task as a retrieval one where given a code and a collection of candidates as the input, the task is to return top-k codes with the same semantic. Models can hence, be evaluated by the MAP@R score. MAP@R is defined as the mean of average precision scores, each of which is evaluated for retrieving R most similar samples given a query. For a code (query), R is the number of other codes in the same class, i.e. R=129 in this dataset. The newly sampled dataset amounts to a total of 11,440 examples where the splits are as follows: 7800 / 1040 / 2600 (Train / Valid / Test).
DOI: 10.5281/zenodo.5020878
title: Climate Forced Hydropower Simulations for the African Continent Using NASA NEX GDDP

description: This dataset includes the results of simulations of future hydropower usable capacity for power plants across the five African power pools. These include 87 power plants in 27 different countries. These simulations have been forced using NASA's Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset, which includes maximum temperature, minimum temperature, and precipitation simulations from 21 Global Climate Models (GCM) and three scenarios. The scenarios include a retrospective run (1950-2005) and two projection runs for Representative Concentration Pathways (RCP) 4.5 and 8.5. We include a PDF file "Description of Data.pdf" that describes all the information included in the dataset. This work is based on the future publication: Caceres, A.L., Jaramillo, P., Matthews, H.S., Samaras, C, & Nijssen, Bart. "Power pools for the win: Assessing climate resilience of hydropower resources in African power pools".
DOI: 10.5281/zenodo.5020877
title: Climate Forced Hydropower Simulations for the African Continent Using NASA NEX GDDP

description: This dataset includes the results of simulations of future hydropower usable capacity for power plants across the five African power pools. These include 87 power plants in 27 different countries. These simulations have been forced using NASA's Earth Exchange Global Daily Downscaled Projections (NEX-GDDP) dataset, which includes maximum temperature, minimum temperature, and precipitation simulations from 21 Global Climate Models (GCM) and three scenarios. The scenarios include a retrospective run (1950-2005) and two projection runs for Representative Concentration Pathways (RCP) 4.5 and 8.5. We include a PDF file "Description of Data.pdf" that describes all the information included in the dataset. This work is based on the future publication: Caceres, A.L., Jaramillo, P., Matthews, H.S., Samaras, C, & Nijssen, Bart. "Power pools for the win: Assessing climate resilience of hydropower resources in African power pools".
DOI: 10.6084/m9.figshare.9862184
title: Infrared Image Super-Resolution via Heterogeneous Convolutional WGAN

description: We proposed two public benchmark datasets for single-frame infrared image super-resolution reconstruction.<br><br>The training dataset is CVC-09-1K.<br>Please check this link for more information.<br><br>https://hyongsong.work/