cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14243120
title: The lag and cumulative response of vegetation WUE to water vapor pressure deficit on the Shiyang River Basin, northwest of China_data description

description: Data description

This document provides details about the data description in the manuscript. The variables are described below along with their collection methods and calculation processes:

the  lag effect: The zip file of“The lag effect” contains three files: "rET_lag_result_z", "rGPP_lag_result"_, and" rWUE_lag_result_z".

rET_lag_result_z:    "rET_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Evapotranspiration (ET)

rGPP_lag_result_z:  "rGPP_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Gross Primary Productivity (GPP) 

rWUE_lag_result_z:  "rWUE_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Water Use Efficiency (WUE)

 

the Cumulative effect: The zip file of“The Cumulative effect” contains three files: "rET_acc_result_z", "rGPP_acc_result"_, and" rWUE_acc_result_z".

rET_acc_result_z:    "rET_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Evapotranspiration (ET)

rGPP_acc_result_z:  "rGPP_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Gross Primary Productivity (GPP) 

rWUE_acc_result_z:  "rWUE_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Water Use Efficiency (WUE)

 

the Slop_Partition: The zip file of“The Slop_Partition”contains three files: "Slop_ET_Partition", "Slop_GPP_Partition"_, and" Slop_WUE_Partition".

Slop_ET_Partition: "Slop_ET_Partition" database is a dataset used to calculate the temporal and spatial dynamic change·trend of Evapotranspiration (ET)

Slop_GPP_Partition: "Slop_GPP_Partition" database is a dataset used to calculate the temporal and spatial dynamic change·trend of Gross Primary Productivity (GPP)

Slop_WUE_Partition: " Slop_WUE_Partition"  database is a dataset used to calculate the temporal and spatial dynamic change·trend of Water Use Efficiency (WUE)
DOI: 10.5281/zenodo.14243121
title: The lag and cumulative response of vegetation WUE to water vapor pressure deficit on the Shiyang River Basin, northwest of China_data description

description: Data description

This document provides details about the data description in the manuscript. The variables are described below along with their collection methods and calculation processes:

the  lag effect: The zip file of“The lag effect” contains three files: "rET_lag_result_z", "rGPP_lag_result"_, and" rWUE_lag_result_z".

rET_lag_result_z:    "rET_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Evapotranspiration (ET)

rGPP_lag_result_z:  "rGPP_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Gross Primary Productivity (GPP) 

rWUE_lag_result_z:  "rWUE_lag_result_z" database is a dataset used to analyze the lag effect of water vapor pressure deficit (VPD) on Water Use Efficiency (WUE)

 

the Cumulative effect: The zip file of“The Cumulative effect” contains three files: "rET_acc_result_z", "rGPP_acc_result"_, and" rWUE_acc_result_z".

rET_acc_result_z:    "rET_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Evapotranspiration (ET)

rGPP_acc_result_z:  "rGPP_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Gross Primary Productivity (GPP) 

rWUE_acc_result_z:  "rWUE_acc_result_z" database is a dataset used to analyze the Cumulative effect of water vapor pressure deficit (VPD) on Water Use Efficiency (WUE)

 

the Slop_Partition: The zip file of“The Slop_Partition”contains three files: "Slop_ET_Partition", "Slop_GPP_Partition"_, and" Slop_WUE_Partition".

Slop_ET_Partition: "Slop_ET_Partition" database is a dataset used to calculate the temporal and spatial dynamic change·trend of Evapotranspiration (ET)

Slop_GPP_Partition: "Slop_GPP_Partition" database is a dataset used to calculate the temporal and spatial dynamic change·trend of Gross Primary Productivity (GPP)

Slop_WUE_Partition: " Slop_WUE_Partition"  database is a dataset used to calculate the temporal and spatial dynamic change·trend of Water Use Efficiency (WUE)
DOI: 10.15468/dl.ezqhdw
title: Occurrence Download

description: A dataset containing 170634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Silene nutans L."
 ]
}

 The dataset includes 170634 records from 1216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006353-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr03532.v1
title: Office for Civil Rights School District File, 1972 [United States]: School Desegregation Database
title: Version 1

description: This file, part of a data collection effort carried out
 annually from 1968-1974 to look at issues of school desegregation,
 contains selected school district-level racial and ethnic data about
 students and staff for the academic year 1972-1973. The data were
 collected using OCR Form OS/CR 101. Each district record for each
 separate year of the series is identical, containing fields for all
 district data elements surveyed in every year. Where a particular item
 was not surveyed for a specific year, its corresponding field is zero
 (for numeric fields) or blank (for alphanumeric fields). Counts of
 students in various racial and ethnic groups are provided and then
 further categorized across additional dimensions, including whether
 resident or non-resident, emotionally disturbed, physically or
 learning disabled, or requiring special education. Other categories
 include school-age children in public and non-public schools or not in
 school, dropouts, and those expelled or suspended. Racial and ethnic
 counts of full-time classroom teachers and full-time instructional
 staff are also supplied. Other variables focus on the number of
 schools in the district that used ability grouping, whether a district
 had single-sex schools, whether students of different sexes were
 required to take different courses, the number of students whose
 language was not English, whether bilingual instruction was used, the
 number of schools being newly built or modified to increase capacity,
 the racial composition of new schools, and whether there was
litigation.
description: Datasets: 
DS1: Office for Civil Rights School District File, 1972 [United States]: School Desegregation Database
description: School districts in the United States during 1972-1973.
description: The codebook and data collection instrument are
 provided by ICPSR as a Portable Document Format (PDF) file. The PDF
 file format was developed by Adobe Systems Incorporated and can be
 accessed using PDF reader software, such as the Adobe Acrobat
 Reader. Information on how to obtain a copy of the Acrobat Reader is
provided on the ICPSR Web site.
DOI: 10.3886/icpsr03532
title: Office for Civil Rights School District File, 1972 [United States]: School Desegregation Database
title: Archival Version

description: This file, part of a data collection effort carried out
 annually from 1968-1974 to look at issues of school desegregation,
 contains selected school district-level racial and ethnic data about
 students and staff for the academic year 1972-1973. The data were
 collected using OCR Form OS/CR 101. Each district record for each
 separate year of the series is identical, containing fields for all
 district data elements surveyed in every year. Where a particular item
 was not surveyed for a specific year, its corresponding field is zero
 (for numeric fields) or blank (for alphanumeric fields). Counts of
 students in various racial and ethnic groups are provided and then
 further categorized across additional dimensions, including whether
 resident or non-resident, emotionally disturbed, physically or
 learning disabled, or requiring special education. Other categories
 include school-age children in public and non-public schools or not in
 school, dropouts, and those expelled or suspended. Racial and ethnic
 counts of full-time classroom teachers and full-time instructional
 staff are also supplied. Other variables focus on the number of
 schools in the district that used ability grouping, whether a district
 had single-sex schools, whether students of different sexes were
 required to take different courses, the number of students whose
 language was not English, whether bilingual instruction was used, the
 number of schools being newly built or modified to increase capacity,
 the racial composition of new schools, and whether there was
litigation.
description: Datasets: 
DS1: Office for Civil Rights School District File, 1972 [United States]: School Desegregation Database
description: School districts in the United States during 1972-1973.
description: The codebook and data collection instrument are
 provided by ICPSR as a Portable Document Format (PDF) file. The PDF
 file format was developed by Adobe Systems Incorporated and can be
 accessed using PDF reader software, such as the Adobe Acrobat
 Reader. Information on how to obtain a copy of the Acrobat Reader is
provided on the ICPSR Web site.
DOI: 10.5281/zenodo.15745746
title: Oxygen isotope insights into the impact of Amundsen Sea freshwater on Ross Sea Shelf Water freshening
DOI: 10.5281/zenodo.15745747
title: Oxygen isotope insights into the impact of Amundsen Sea freshwater on Ross Sea Shelf Water freshening
DOI: 10.3886/e226409
title: NCVAS State Summary Colorado FY2023

description: NCVAS State Summary Colorado FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)<br><br><br>
DOI: 10.3886/e226409v1
title: NCVAS State Summary Colorado FY2023

description: NCVAS State Summary Colorado FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)<br><br><br>
DOI: 10.3886/e226411
title: NCVAS State Summary Illinois FY2023

description: NCVAS State Summary Illinois FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)
DOI: 10.3886/e226411v1
title: NCVAS State Summary Illinois FY2023

description: NCVAS State Summary Illinois FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)
DOI: 10.15156/bio/sh1047357.10fu
title: SH1047357.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047358.10fu
title: SH1047358.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17909/mpx2-7m41
title: Identifying Red Supergiants in the Local Group Using JWST Photometry. I. NGC 6822, Sextans A, NGC 300, WLM, and IC 1613

description: Identifying Red Supergiants in the Local Group Using JWST Photometry. I. NGC 6822, Sextans A, NGC 300, WLM, and IC 1613
DOI: 10.15156/bio/sh1047362.10fu
title: SH1047362.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047364.10fu
title: SH1047364.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047365.10fu
title: SH1047365.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.vfwxdd
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "DatasetKey is one of (Registros de flora de los Parques Distritales Ecológicos de Montaña de Bogotá, D.C., iNaturalist Research-grade Observations, Estudios bióticos (Plantas, Fauna Edáfica, Anfibios y Aves) en los Complejos de páramos Guantiva - La Rusia)",
 "Geometry POLYGON((-77.81442 8.20037,-77.97799 6.63996,-77.93358 3.70566,-77.84475 1.24035,-70.39801 -1.62021,-69.45498 3.96291,-72.722 8.85414,-75.16254 9.38714,-76.61395 8.10867,-77.81442 8.20037))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hesperomeles goudotiana (Decne.) Killip",
 "Year 2015-2025"
 ]
}

 The dataset includes 413 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000650-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pb6bkq
title: Occurrence Download

description: A dataset containing 433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus euphratica Olivier"
 ]
}

 The dataset includes 433 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000651-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fhrnb
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Artocarpus altilis (Parkinson) Fosberg",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Year is 1991,2010",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 310 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000647-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vtyn7g
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Shannon Index and species richness for plants"
 ]
}

 The dataset includes 77 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000648-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.67k6bn
title: Occurrence Download

description: A dataset containing 311 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Batrachyla taeniata (Girard, 1855)"
 ]
}

 The dataset includes 311 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000652-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7mkqf
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((6.98532 39.41638,15.84921 34.71604,18.96514 40.13987,13.67666 44.27331,12.38722 47.2192,6.975 47.37228,6.98532 39.41638))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Martes martes (Linnaeus, 1758)"
 ]
}

 The dataset's 5 records were derived from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000630-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gbp3r
title: Occurrence Download

description: A dataset containing 620 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United Kingdom of Great Britain and Northern Ireland, Ireland)",
 "OccurrenceStatus is Present",
 "TaxonKey is Salix babylonica L."
 ]
}

 The dataset includes 620 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000653-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymh5ns
title: Occurrence Download

description: A dataset containing 207649 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rotifera"
 ]
}

 The dataset includes 207649 records from 454 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000613-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4aead
title: Occurrence Download

description: A dataset containing 1567880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus L.",
 "HasCoordinate is true",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1567880 records from 3933 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000625-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ccjjn
title: Occurrence Download

description: A dataset containing 23873 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduus tenuiflorus Curtis)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 23873 records from 701 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006787-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14979353
title: Rebuilding Trust: E-commerce Efforts to Overcome Fraud Impacts and Enhance Consumer Loyalty
DOI: 10.5281/zenodo.14979354
title: Rebuilding Trust: E-commerce Efforts to Overcome Fraud Impacts and Enhance Consumer Loyalty
DOI: 10.5281/zenodo.14979409
title: Dataset from a still non-published study titled "Night-time bracing can reduce pain in adults with scoliosis: Six months results of a retrospective controlled study" by Fabio Zaina, Martina Poggio, Sabrina Donzelli, René Castelein, Francesca Di Felice, and Stefano Negrini
DOI: 10.5281/zenodo.14979410
title: Dataset from a still non-published study titled "Night-time bracing can reduce pain in adults with scoliosis: Six months results of a retrospective controlled study" by Fabio Zaina, Martina Poggio, Sabrina Donzelli, René Castelein, Francesca Di Felice, and Stefano Negrini