cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7622355
title: BST/NOAA PSL Level 2 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH

description: This dataset contains uncrewed aircraft systems (UAS) high-resolution data of soil moisture at the 0-5 cm soil depth, normalized difference vegetation index (NDVI), surface temperature, and digital elevation for the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrology (SPLASH) campaign sponsored by the National Oceanic and Atmospheric Administration (NOAA). These data were collected near Avery Picnic (38.972425<sup>o</sup>N,106.996855<sup>o</sup>W) and Kettle Ponds (38.942005<sup>o</sup>N,106.973006<sup>o</sup>W) in the East River Watershed in Colorado from a series of flights starting on June 1st, 2022 and ending October 19th, 2022. Soil moisture measurements were retrieved using the Lobe Differencing Correlation Radiometer (LDCR) which is a L-Band (1-2 GHz) microwave radiometer and was flown on the E2 and S2 aerial platforms operated by Black Swift Technologies LLC. Each zip file contains a set of four Level 2 NetCDF files which provides the highest spatial resolution available for each of four products for a given flight location. With the Level 2 data, each flight location and variable can have different spatial resolutions depending on the sensor type, retrieval algorithm, and flight altitude. The file name convention for the zip files is as follows. uas_L2_yyyymmdd_hhmmss.zip where L2 = Level 2 data yyyymmdd = year,month,day hhmmss = hour,minute,second Time is the flight start time in UTC. The NetCDF file format contained in the zip files has a similar format to the zip files with convention uas_&lt;var&gt;_L2_yyyymmdd_hhmmss.nc where &lt;var&gt; = vsm, dem, ndvi, or stmp vsm = volumetric soil moisture dem = digital elevation ndvi = normalized difference vegetation index stmp = surface temperature Note that each flight location using the E2 aerial platform required two flights so starting flight times for the soil moisture NetCDF files are different from the other three products.
description: Funding provided by the NOAA Weather Program Office with award number NA21OAR4590363.
DOI: 10.5281/zenodo.10383713
title: Lung_SSC
DOI: 10.5281/zenodo.10384394
title: Lung_SSC
DOI: 10.5281/zenodo.10231422
title: Lung_SSC
DOI: 10.5281/zenodo.10055148
title: BENEFÍCIO DA FISIOTERAPIA PÉLVICA NA ASSISTÊNCIA A MULHERES DURANTE O PRÉ-PARTO E PÓS-PARTO

description: O objetivo desta revisão bibliográfica foi analisar a eficácia e os benefícios da fisioterapia pélvica na assistência a mulheres gestantes durante o pré-parto e no período pós-parto. A revisão bibliográfica baseou-se em uma ampla pesquisa em bases de dados científicas, incluindo PubMed, Scopus e Google Scholar, utilizando palavras-chave como "fisioterapia pélvica", "pré-parto", "pós-parto", "mulheres" e "benefícios". Foram selecionados artigos científicos, revisões sistemáticas e meta-análises publicados em periódicos especializados e reconhecidos, a fim de garantir a qualidade e relevância dos dados analisados. Os estudos incluídos na análise foram submetidos a uma avaliação crítica, considerando sua metodologia, tamanho da amostra, intervenções realizadas e resultados obtidos. A revisão bibliográfica revelou que a fisioterapia pélvica apresenta inúmeros benefícios na assistência a mulheres durante o pré-parto e pós-parto. Durante o pré-parto, a aplicação de exercícios específicos e técnicas de fortalecimento muscular contribui para uma melhor preparação da região pélvica e lombar, resultando em menor incidência de dores e desconfortos durante a gravidez. Globalmente, os resultados alcançados apontam que a fisioterapia pélvica é uma intervenção terapêutica efetiva na assistência a mulheres durante o pré-parto e pós-parto, proporcionando benefícios significativos para a saúde e bem-estar materno. No entanto, é fundamental que essa prática seja realizada por profissionais especializados e capacitados, garantindo assim a segurança e eficácia dos tratamentos personalizados.
DOI: 10.6084/m9.figshare.24331168.v1
title: Binge-Pattern Alcohol Consumption and Genetic Risk Factors as Determinants of Risk of Alcohol-Related Liver Disease

description: Source data from UK Biobank to demonstrate hazard ratios for risk of alcohol-related cirrhosis with contributions of heavy binge alcohol consumption, high polygenic risk score (PRS), presence of diabetes mellitus, and their combination (interaction).
DOI: 10.6084/m9.figshare.24331168
title: Binge-Pattern Alcohol Consumption and Genetic Risk Factors as Determinants of Risk of Alcohol-Related Liver Disease

description: Source data from UK Biobank to demonstrate hazard ratios for risk of alcohol-related cirrhosis with contributions of heavy binge alcohol consumption, high polygenic risk score (PRS), presence of diabetes mellitus, and their combination (interaction).
DOI: 10.5281/zenodo.10384446
title: Graphed data in the manuscript "Visuo-frontal interactions during social learning in freely moving macaques" by Franch et al., Nature 2024
DOI: 10.5281/zenodo.10384447
title: Graphed data in the manuscript "Visuo-frontal interactions during social learning in freely moving macaques" by Franch et al., Nature 2024
DOI: 10.5281/zenodo.10151173
title: BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH

description: This dataset contains uncrewed aircraft systems (UAS) high-resolution data of soil moisture at the 0-5 cm soil depth, normalized difference vegetation index (NDVI), surface temperature, and digital elevation for the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrology (SPLASH) campaign sponsored by the National Oceanic and Atmospheric Administration (NOAA).  While Level 2 provides each product at their highest retrieved spatial resolution, Level 3 provides all four products on a common grid at each flight location. These data were collected near Avery Picnic (38.972425 degrees N,106.996855 degrees W) and Kettle Ponds (38.942005 degrees N,106.973006 degrees W) in the East River Watershed in Colorado from a series of flights starting on June 1st, 2022 and ending October 19th, 2022.  Soil moisture measurements were retrieved using the Lobe Differencing Correlation Radiometer (LDCR) which is a L-Band (1-2 GHz) microwave radiometer and was flown on the E2 and S2 aerial platforms operated by Black Swift Technologies, Inc.  
 
Each Level 3 NetCDF file contains all four UAS parameters at a flight location interpolated to a common rectilinear grid at ~50 cm resolution.   Soil moisture retrievals were downscaled to a higher resolution grid using bilinear interpolation while surface temperature, NDVI, and digital elevation were upscaled to a lower resolution grid using conservative interpolation. The data was regridded using the Python package xESMF which is based on code developed for the Earth System Modeling Framework (ESMF) project. 
 
The file name convention for the Level 3 NetCDF files is as follows.
 
uas_L3_yyyymmdd_hhmmss_vx.x.nc
where
L3 = Level 3 data 
yyyymmdd = year,month,day
hhmmss = hour,minute,second
x.x  = version number 
Time is the flight start time in UTC.
Version number description is provided in the NetCDF global attributes.
 
Note that each flight location using the E2 aerial platform required two flights with different starting flight times for the soil moisture and the other three products.  The flight start time is the time of the first flight. The total time for the two flights at each location was ~1 hour.
November 2023 update: Version 2.0 added which has flight data from 2022 and 2023. Version 2.0 includes an updated calibration of the soil moisture retrieval that has been applied to 2023 data and a mask was applied to the soil moisture retrieval that masks data over water surfaces.
description: Funding provided by the NOAA Weather Program Office with award number NA21OAR4590363.
DOI: 10.5281/zenodo.10384329
title: BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH

description: This dataset contains uncrewed aircraft systems (UAS) high-resolution data of soil moisture at the 0-5 cm soil depth, normalized difference vegetation index (NDVI), surface temperature, and digital elevation for the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrology (SPLASH) campaign sponsored by the National Oceanic and Atmospheric Administration (NOAA).  While Level 2 provides each product at their highest retrieved spatial resolution, Level 3 provides all four products on a common grid at each flight location. These data were collected near Avery Picnic (38.972425 degrees N,106.996855 degrees W) and Kettle Ponds (38.942005 degrees N,106.973006 degrees W) in the East River Watershed in Colorado from a series of flights starting on June 1st, 2022 and ending October 18th, 2023.  Soil moisture measurements were retrieved using the Lobe Differencing Correlation Radiometer (LDCR) which is a L-Band (1-2 GHz) microwave radiometer and was flown on the E2 and S2 aerial platforms operated by Black Swift Technologies, Inc.  

 

Each Level 3 NetCDF file contains all four UAS parameters at a flight location interpolated to a common rectilinear grid at ~50 cm resolution.   Soil moisture retrievals were downscaled to a higher resolution grid using bilinear interpolation while surface temperature, NDVI, and digital elevation were upscaled to a lower resolution grid using conservative interpolation. The data was regridded using the Python package xESMF which is based on code developed for the Earth System Modeling Framework (ESMF) project. 

 

The file name convention for the Level 3 NetCDF files is as follows.

 

uas_L3_yyyymmdd_hhmmss_vx.x.nc

where

L3 = Level 3 data 

yyyymmdd = year,month,day

hhmmss = hour,minute,second

x.x  = version number 

Time is the flight start time in UTC.

Version number description is provided in the NetCDF global attributes.

 

Note that each flight location using the E2 aerial platform required two flights with different starting flight times for the soil moisture and the other three products.  The flight start time is the time of the first flight. The total time for the two flights at each location was ~1 hour. 

November 2023 update: Version 2.0 added flight data from 2023. Version 2.0 includes an updated calibration of the soil moisture retrieval that has been applied to 2023 data, and a mask was applied to the soil moisture retrieval over water surfaces for both 2022 and 2023 data. Version 2.1 adds data file uas_L3_20221018_171650_v2.1.nc that was missing in Version 2.0.

December 2023 update: Version 2.2 updated soil moisture data with a wet bias in v2.1 for flights #2 (17:40:35 UTC) and #3 (19:24:45 UTC) on July 27, 2022.
description: Funding provided by the NOAA Weather Program Office with award number NA21OAR4590363.
DOI: 10.5281/zenodo.7668270
title: BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH

description: This dataset contains uncrewed aircraft systems (UAS) high-resolution data of soil moisture at the 0-5 cm soil depth, normalized difference vegetation index (NDVI), surface temperature, and digital elevation for the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrology (SPLASH) campaign sponsored by the National Oceanic and Atmospheric Administration (NOAA). While Level 2 provides each product at their highest retrieved spatial resolution, Level 3 provides all four products on a common grid at each flight location. These data were collected near Avery Picnic (38.972425<sup>o</sup>N,106.996855<sup>o</sup>W) and Kettle Ponds (38.942005<sup>o</sup>N,106.973006<sup>o</sup>W) in the East River Watershed in Colorado from a series of flights starting on June 1st, 2022 and ending October 19th, 2022. Soil moisture measurements were retrieved using the Lobe Differencing Correlation Radiometer (LDCR) which is a L-Band (1-2 GHz) microwave radiometer and was flown on the E2 and S2 aerial platforms operated by Black Swift Technologies, Inc. Each Level 3 NetCDF file contains all four UAS parameters at a flight location interpolated to a common rectilinear grid at ~50 cm resolution. Soil moisture retrievals were downscaled to a higher resolution grid using bilinear interpolation while surface temperature, NDVI, and digital elevation were upscaled to a lower resolution grid using conservative interpolation. The data was regridded using the Python package xESMF which is based on code developed for the Earth System Modeling Framework (ESMF) project. The file name convention for the Level 3 NetCDF files is as follows. uas_L3_yyyymmdd_hhmmss_vx.x.nc where L3 = Level 3 data yyyymmdd = year,month,day hhmmss = hour,minute,second x.x = version number Time is the flight start time in UTC. Version number description is provided in the NetCDF global attributes. Note that each flight location using the E2 aerial platform required two flights with different starting flight times for the soil moisture and the other three products. The flight start time is the time of the first flight. The total time for the two flights at each location was ~1 hour.
description: Funding provided by the NOAA Weather Program Office with award number NA21OAR4590363.
DOI: 10.5281/zenodo.10211643
title: BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH

description: This dataset contains uncrewed aircraft systems (UAS) high-resolution data of soil moisture at the 0-5 cm soil depth, normalized difference vegetation index (NDVI), surface temperature, and digital elevation for the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrology (SPLASH) campaign sponsored by the National Oceanic and Atmospheric Administration (NOAA).  While Level 2 provides each product at their highest retrieved spatial resolution, Level 3 provides all four products on a common grid at each flight location. These data were collected near Avery Picnic (38.972425 degrees N,106.996855 degrees W) and Kettle Ponds (38.942005 degrees N,106.973006 degrees W) in the East River Watershed in Colorado from a series of flights starting on June 1st, 2022 and ending October 18th, 2023.  Soil moisture measurements were retrieved using the Lobe Differencing Correlation Radiometer (LDCR) which is a L-Band (1-2 GHz) microwave radiometer and was flown on the E2 and S2 aerial platforms operated by Black Swift Technologies, Inc.  
 
Each Level 3 NetCDF file contains all four UAS parameters at a flight location interpolated to a common rectilinear grid at ~50 cm resolution.   Soil moisture retrievals were downscaled to a higher resolution grid using bilinear interpolation while surface temperature, NDVI, and digital elevation were upscaled to a lower resolution grid using conservative interpolation. The data was regridded using the Python package xESMF which is based on code developed for the Earth System Modeling Framework (ESMF) project. 
 
The file name convention for the Level 3 NetCDF files is as follows.
 
uas_L3_yyyymmdd_hhmmss_vx.x.nc
where
L3 = Level 3 data 
yyyymmdd = year,month,day
hhmmss = hour,minute,second
x.x  = version number 
Time is the flight start time in UTC.
Version number description is provided in the NetCDF global attributes.
 
Note that each flight location using the E2 aerial platform required two flights with different starting flight times for the soil moisture and the other three products.  The flight start time is the time of the first flight. The total time for the two flights at each location was ~1 hour. 
November 2023 update: Version 2.0 added which has flight data from 2022 and 2023. Version 2.0 includes an updated calibration of the soil moisture retrieval that has been applied to 2023 data and a mask was applied to the soil moisture retrieval that masks data over water surfaces. Version 2.1 adds data file uas_L3_20221018_171650_v2.1.nc that was missing in Version 2.0.
description: Funding provided by the NOAA Weather Program Office with award number NA21OAR4590363.
DOI: 10.5281/zenodo.7668269
title: BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH

description: This dataset contains uncrewed aircraft systems (UAS) high-resolution data of soil moisture at the 0-5 cm soil depth, normalized difference vegetation index (NDVI), surface temperature, and digital elevation for the Study of Precipitation, the Lower Atmosphere, and Surface for Hydrology (SPLASH) campaign sponsored by the National Oceanic and Atmospheric Administration (NOAA).  While Level 2 provides each product at their highest retrieved spatial resolution, Level 3 provides all four products on a common grid at each flight location. These data were collected near Avery Picnic (38.972425 degrees N,106.996855 degrees W) and Kettle Ponds (38.942005 degrees N,106.973006 degrees W) in the East River Watershed in Colorado from a series of flights starting on June 1st, 2022 and ending October 18th, 2023.  Soil moisture measurements were retrieved using the Lobe Differencing Correlation Radiometer (LDCR) which is a L-Band (1-2 GHz) microwave radiometer and was flown on the E2 and S2 aerial platforms operated by Black Swift Technologies, Inc.  

 

Each Level 3 NetCDF file contains all four UAS parameters at a flight location interpolated to a common rectilinear grid at ~50 cm resolution.   Soil moisture retrievals were downscaled to a higher resolution grid using bilinear interpolation while surface temperature, NDVI, and digital elevation were upscaled to a lower resolution grid using conservative interpolation. The data was regridded using the Python package xESMF which is based on code developed for the Earth System Modeling Framework (ESMF) project. 

 

The file name convention for the Level 3 NetCDF files is as follows.

 

uas_L3_yyyymmdd_hhmmss_vx.x.nc

where

L3 = Level 3 data 

yyyymmdd = year,month,day

hhmmss = hour,minute,second

x.x  = version number 

Time is the flight start time in UTC.

Version number description is provided in the NetCDF global attributes.

 

Note that each flight location using the E2 aerial platform required two flights with different starting flight times for the soil moisture and the other three products.  The flight start time is the time of the first flight. The total time for the two flights at each location was ~1 hour. 

November 2023 update: Version 2.0 added flight data from 2023. Version 2.0 includes an updated calibration of the soil moisture retrieval that has been applied to 2023 data, and a mask was applied to the soil moisture retrieval over water surfaces for both 2022 and 2023 data. Version 2.1 adds data file uas_L3_20221018_171650_v2.1.nc that was missing in Version 2.0.

December 2023 update: Version 2.2 updated soil moisture data with a wet bias in v2.1 for flights #2 (17:40:35 UTC) and #3 (19:24:45 UTC) on July 27, 2022.
description: Funding provided by the NOAA Weather Program Office with award number NA21OAR4590363.
DOI: 10.5281/zenodo.10379304
title: NSCR_ Dataset_2023

description: The University of Turin (UniTo) released the second open-access dataset NSCR_Dataset collected for the NEUROSTEMCELLREPAIR (602278) and NSC-Reconstruct (874758) European stem cell consortia for neural cell replacement, reprogramming and functional brain repair (602278)  (https://www.nsc-reconstruct.com/en/index.do).

The NSCR_Dataset is a dataset of analysis of histological ex-vivo brain samples and behavioral parameters from Huntington's Disease (HD) rat models, after cell replacement approach of striatal progenitor cells in the lesioned striatum, at different time points. For for short time-points, see for details: https://www.sciencedirect.com/science/article/pii/S2213671120301089?via%3Dihub#app2); for long time points, see for details: https://stemcellres.biomedcentral.com/articles/10.1186/s13287-023-03422-4.

The UniTO team released this second dataset publicly. The dataset includes data obtained from HD rat models, divided into experimental groups and used in different histological and behavioral analysis. 

The dataset contains data from images of brain tissue stained for different cellular and molecular markers, acquired with transmission and confocal microscopes, from which analysis were performed, and the behavioral data obtained every month by testing the HD animals in different motor tasks.
DOI: 10.5281/zenodo.10379305
title: NSCR_ Dataset_2023

description: The University of Turin (UniTo) released the second open-access dataset NSCR_Dataset collected for the NEUROSTEMCELLREPAIR (602278) and NSC-Reconstruct (874758) European stem cell consortia for neural cell replacement, reprogramming and functional brain repair (602278)  (https://www.nsc-reconstruct.com/en/index.do).

The NSCR_Dataset is a dataset of analysis of histological ex-vivo brain samples and behavioral parameters from Huntington's Disease (HD) rat models, after cell replacement approach of striatal progenitor cells in the lesioned striatum, at different time points. For for short time-points, see for details: https://www.sciencedirect.com/science/article/pii/S2213671120301089?via%3Dihub#app2); for long time points, see for details: https://stemcellres.biomedcentral.com/articles/10.1186/s13287-023-03422-4.

The UniTO team released this second dataset publicly. The dataset includes data obtained from HD rat models, divided into experimental groups and used in different histological and behavioral analysis. 

The dataset contains data from images of brain tissue stained for different cellular and molecular markers, acquired with transmission and confocal microscopes, from which analysis were performed, and the behavioral data obtained every month by testing the HD animals in different motor tasks.
DOI: 10.17909/qz85-k192
title: A Snapshot Survey of Nearby Supernovae with the Hubble Space Telescope

description: All data taken for this snapshot survey of 35 Supernovae
DOI: 10.7931/j2736p2d
title: Survey of Rural Decision Makers 2017
DOI: 10.5281/zenodo.10384555
title: Smith et al fNIRS Fragile X Syndrome
DOI: 10.5281/zenodo.10384556
title: Smith et al fNIRS Fragile X Syndrome
DOI: 10.34740/kaggle/dsv/7203689
title: Types_eletric_car_2022
DOI: 10.25959/0dt8-yz06
title: Water market trading data

description: Datasets to support "Water Market Development in Tasmania" study, by Kelvin Montanaro and Joanna Ellison
DOI: 10.3886/e112932v1-143817
title: Replication data for: Monitoring Corruptible Politicians

description: Does monitoring corrupt activities induce a sustained reduction in corruption? Using longitudinal data on audits of municipal governments in Puerto Rico, we show corruption is considerably lower in municipalities with timely audits—before elections. However, these municipalities do not exhibit decreased levels of corruption in subsequent audits, even while mayors in these benefit from higher reelection rates. Our results suggest that audits enable voters to select responsive but corruptible politicians to office. Audit programs must disseminate results when they are most relevant for voters—shortly before an election—and ensure that these programs are sustained, long-term commitments.
description: Municipal governments audited by Office of Comptroller of Puerto Rico during period 1987-2005.
DOI: 10.5517/ccdc.csd.cc2d724w
title: CCDC 2211327: Experimental Crystal Structure Determination

description: Related Article: Angelos Amoiridis, Michael Papanikolaou, Manolis Vlasiou, Nuno A. G. Bandeira, Haralampos N. Miras, Themistoklis Kabanos, Anastasios Keramidas|2023|Inorg.Chem.|62|19971|doi:10.1021/acs.inorgchem.3c02678
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.