cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/u4srig
title: 8-Info-BiologicalMaterial.tab

description: This file contains the description of the genotypes. Briefly, all studied hybrids result from a F1 cross between the donor dent lines (parent 1) and one flint tester (parent 2, UH007 from University of Hohenheim). (Negro et al. 2018, https://doi.org/10.1101/476598). The file contains 14 columns: «Variety_ID», «AccessionID, «AccessionHolding»: Two accession identifiers (“_H” stands for “hybrids”) and the holding institution. «parent1», «parent1_synonym», «parent1_holding»: Donor dent lines with their identifiers, possible synonyms and the holding institution. «parent2», «parent2_holding»: Tester flint parent with its holding institution. «Code_ID»: code/lot number. «Panel_246»: Is this hybrid included in the 246 panel? Can be “yes” or “no”. «genetic_group»: Four genetic groups were identified using the ADMIXTURE software, namely “Iodent”, “Lancaster”, “Stiff Stalk” and diverse dent lines that do not belong to the former three heterotic groups (“Other”). «type»: the type of set in the genomic prediction study. It can be part of the cross validation set (CrossValidation), or the external test set (nG_ext). «holding», «Holding name»: Identifiers of the holing institutions. The Following columns have been added to comply to MIAPPE: MaterialSourceDOI: DOI of the Accession identifying this variety, MaterialSourceID: ID of the Accession identifying this variety, BiologicalMaterialID: ID used in the data files, Organism:NCBI Taxonomy identifier, Genus, Species, InfraspecificName: variety name
DOI: 10.15454/iasstn
title: A multi-site experiment in a network of European fields for assessing the maize yield response to environmental scenarios

description: This dataset comes from the European Union project DROPS (DROught-tolerant yielding PlantS). A panel of 256 maize hybrids was grown with two water regimes (irrigated or rainfed), in seven fields in 2012 and 2013, respectively, spread along a climatic transect from western to eastern Europe, plus one site in Chile in 2013. This resulted in 29 experiments defined as the combination of one year, one site and one water regime, with two and three repetitions for rainfed and irrigated treatments, respectively. A detailed environmental characterisation was carried out, with hourly records of micrometeorological data and soil water status, and associated with precise measurement of phenology. Grain yield and its components were measured at the end of the experiment. The main purpose of this dataset consists in using the environmental characterisation to quantify the genetic variability of maize grain yield in response to the environmental drivers for genotype-by-environment interaction. For instance, allelic effects at QTLs identified over the field network are consistent within a scenario but largely differ between scenarios.
DOI: 10.15468/dl.e7xxjf
title: Occurrence Download

description: A dataset containing 4475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caulerpa cylindracea, Caulerpa racemosa cylindracea, Caulerpa racemosa)",
 "Geometry POLYGON((-10 25, 40 25, 40 50, -10 50, -10 25))",
 "DecimalLatitude is not null",
 "DecimalLongitude is not null"
 ]
}

 The dataset includes 4475 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053885-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kywfsm
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tetrao urogallus",
 "Year 1971-2010"
 ]
}

 The dataset includes 359 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053886-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17942490
title: Synteny between Humulus lupulus var Apollo phases and Cannabis (CS10)

description: Data used to build figure 3aComparative analysis between the assemblies of Humulus cv. Apollo and Cannabis sativa. a) Gene based synteny plot reveals collinearity between Cannabis sativa and the haplotype resolved phased assembly of hop cv. Apollo. Red and blue colour indicate Eu and NAm origin of the respective genomic regions in the Apollo genome.
DOI: 10.5281/zenodo.17942489
title: Synteny between Humulus lupulus var Apollo phases and Cannabis (CS10)

description: Data used to build figure 3aComparative analysis between the assemblies of Humulus cv. Apollo and Cannabis sativa. a) Gene based synteny plot reveals collinearity between Cannabis sativa and the haplotype resolved phased assembly of hop cv. Apollo. Red and blue colour indicate Eu and NAm origin of the respective genomic regions in the Apollo genome.
DOI: 10.6084/m9.figshare.30493520
title: PPG Dataset (Subset from Liang et al.) for Teaching Purposes

description: This dataset is a subset of the dataset (PPG-BP) authored by Yongbo Liang, Guiyong Liu, Zhencheng Chen and Mohamed Elgendi: https://figshare.com/articles/dataset/PPG-BP_Database_zip/5459299. The peer-reviewed paper associated with that dataset can be accessed here: https://www.nature.com/articles/sdata201820.The one in this project contains <b>173 participants' data</b>.It was created with the purpose of teaching a lecture on <b>wearable data for heath informatics</b>. What was changed:The 3 snippets of 2 seconds of PPG data for each participant were merged in one file.All participants with <b>cerebral infarction</b>, <b>cerebrovascular disease </b>and <b>insufficiency of cerebral blood supply</b> were removed.The values in the Diabetes column were changed to "Yes" or "No". A participant that had the label <b><i>Diabetes </i></b>instead of <b>Type 2 Diabetes</b> was removed.<b>Summary Health Statistics of the Subset (n=173)</b><b>Category</b><b>Metric</b><b>Value</b><b>Age</b><br>Mean<br>54.04 (min 21-84 max)Standard Deviation15.67<b>Gender</b><br>Female<br>52.02 %Male47.98 %<b>Hypertension</b><br>Normal<br>39.31 %Prehypertension38.73 %Stage 1 Hypertension14.45 %Stage 2 Hypertension7.51 %<b>Diabetes</b>No78.61 %Yes21.39 %<br><br>
DOI: 10.6084/m9.figshare.30493520.v2
title: PPG Dataset (Subset from Liang et al.)

description: This dataset is a subset of the dataset (PPG-BP) authored by Yongbo Liang, Guiyong Liu, Zhencheng Chen and Mohamed Elgendi: https://figshare.com/articles/dataset/PPG-BP_Database_zip/5459299. The peer-reviewed paper associated with that dataset can be accessed here: https://www.nature.com/articles/sdata201820.The one in this project contains <b>173 participants' data</b>.It was created with the purpose of teaching a lecture on <b>wearable data for heath informatics</b>. What was changed:The 3 snippets of 2 seconds of PPG data for each participant was merged in one file.Alls participants with <b>cerebral infarction</b>, <b>cerebrovascular disease </b>and <b>insufficiency of cerebral blood supply</b> were removed.The values in the Diabetes column were changed to "Yes" or "No". A participant that had the label <b><i>Diabetes </i></b>instead of <b>Type 2 Diabetes</b> was removed.<b>Summary Health Statistics of the New Dataset (n=173)</b><b>Category</b><b>Metric</b><b>Value</b><b>Age</b><br>Mean<br>54.04 (min 21-84 max)Standard Deviation15.67<b>Gender</b><br>Female<br>52.02 %Male47.98 %<b>Hypertension</b><br>Normal<br>39.31 %Prehypertension38.73 %Stage 1 Hypertension14.45 %Stage 2 Hypertension7.51 %<b>Diabetes</b>No78.61 %Yes21.39 %<br>
DOI: 10.6084/m9.figshare.30493520.v3
title: PPG Dataset (Subset from Liang et al.) for Teaching Purposes

description: This dataset is a subset of the dataset (PPG-BP) authored by Yongbo Liang, Guiyong Liu, Zhencheng Chen and Mohamed Elgendi: https://figshare.com/articles/dataset/PPG-BP_Database_zip/5459299. The peer-reviewed paper associated with that dataset can be accessed here: https://www.nature.com/articles/sdata201820.The one in this project contains <b>173 participants' data</b>.It was created with the purpose of teaching a lecture on <b>wearable data for heath informatics</b>. What was changed:The 3 snippets of 2 seconds of PPG data for each participant were merged in one file.All participants with <b>cerebral infarction</b>, <b>cerebrovascular disease </b>and <b>insufficiency of cerebral blood supply</b> were removed.The values in the Diabetes column were changed to "Yes" or "No". A participant that had the label <b><i>Diabetes </i></b>instead of <b>Type 2 Diabetes</b> was removed.<b>Summary Health Statistics of the Subset (n=173)</b><b>Category</b><b>Metric</b><b>Value</b><b>Age</b><br>Mean<br>54.04 (min 21-84 max)Standard Deviation15.67<b>Gender</b><br>Female<br>52.02 %Male47.98 %<b>Hypertension</b><br>Normal<br>39.31 %Prehypertension38.73 %Stage 1 Hypertension14.45 %Stage 2 Hypertension7.51 %<b>Diabetes</b>No78.61 %Yes21.39 %<br><br>
DOI: 10.5066/p132ykck
title: GIS Data for Reconnaissance Geologic Map of the Selway-Bitterroot Wilderness, Idaho County, Idaho, and Missoula and Ravalli counties, Montana

description: This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the reconnaissance geologic map of the Selway-Bitterroot Wilderness, Idaho County, Idaho, and Missoula and Ravalli counties, Montana (Toth, 1983). Attribute tables and geospatial features (points, lines, and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in the USGS Miscellaneous Field Studies Map MF-1495-B. The 1.5-million-acre map area represents the geology at a publication scale of 1:125,000. 

References: Toth, M.I., 1983, Reconnaissance geologic map of the Selway-Bitterroot Wilderness, Idaho County, Idaho, and Missoula and Ravalli counties, Montana: U.S. Geological Survey, Miscellaneous Field Studies Map 1495-B, scale 1:125,000, https://doi.org/10.3133/mf1495B.
U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.
DOI: 10.15468/dl.e3dpf3
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cabo Verde",
 "TaxonKey is Echium stenosiphon lindbergii"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053888-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13012/b2idb-6601387_v1
title: Data for Glucose Feeds the Tricarboxylic Acid Cycle via Excreted Ethanol in Fermenting Yeast

description: Ethanol and lactate are typical waste products of glucose fermentation. In mammals, glucose is catabolized by glycolysis into circulating lactate, which is broadly used throughout the body as a carbohydrate fuel. Individual cells can both uptake and excrete lactate, uncoupling glycolysis from glucose oxidation. Here we show that similar uncoupling occurs in budding yeast batch cultures of Saccharomyces cerevisiae and Issatchenkia orientalis. Even in fermenting S. cerevisiae that is net releasing ethanol, media 13C-ethanol rapidly enters and is oxidized to acetaldehyde and acetyl-CoA. This is evident in exogenous ethanol being a major source of both cytosolic and mitochondrial acetyl units. 2H-tracing reveals that ethanol is also a major source of both NADH and NADPH high-energy electrons, and this role is augmented under oxidative stress conditions. Thus, uncoupling of glycolysis from the oxidation of glucose-derived carbon via rapidly reversible reactions is a conserved feature of eukaryotic metabolism.
DOI: 10.15468/dl.jb6etm
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Cabo Verde",
 "TaxonKey is Echium stenosiphon lindbergii"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053889-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13pybjl
title: Machine Learning Model: Estimates of Metal Abundance in Global Seafloor Massive Sulfide Deposits

description: A multi-stage ensembled machine learning model was developed to estimate metal abundances in seafloor massive sulfide deposits worldwide. The modeling framework integrates (1) KMeans++ clustering to identify geochemical groupings based on enrichment controls, (2) Random Forest classification to assign geochemical labels to vent fields with incomplete or absent geochemical data, and (3) XGBoost regression to generate high-fidelity predictions of metal concentrations. This USGS model application data release includes all scripts, input files, and output files necessary to apply the model to estimate concentrations of cobalt, gold, and zinc. This model is not limited by spatial boundaries and is intended for application to any oceanic location with appropriate input data.
DOI: 10.15468/dl.ccu8vw
title: Occurrence Download

description: A dataset listing the 136 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lepidoptera (butterfly, macro-moth) records from Akrotiri Peninsula, Cyprus"
 ]
}

 The dataset's 136 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053884-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/apayjg
title: Base de données COMBHERPIC

description: Cette collection comprend 3 bases de données : - base des traits adventices - base des traits des cultures - base des traits des couverts et plantes compagnes Ces bases de données permettent de renseigner avec plus de précision les variables d'entrée du DAG COMBHERPIC liées aux adventices ou au pouvoir couvrant des cultures ou des couverts présents dans le système.
DOI: 10.15468/dl.3crdps
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tetrao urogallus",
 "Year 2011-2025"
 ]
}

 The dataset includes 57 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053891-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17942606
title: GASTROESOPHAGEAL REFLUX OF THE DISEASE EDUCATION FIELD REPRESENTATIVES BETWEEN MANY MEETING REASONS AND RIGHT PREVENTION MEASURES WORKING EXIT
DOI: 10.5281/zenodo.17942605
title: GASTROESOPHAGEAL REFLUX OF THE DISEASE EDUCATION FIELD REPRESENTATIVES BETWEEN MANY MEETING REASONS AND RIGHT PREVENTION MEASURES WORKING EXIT
DOI: 10.3886/e240575
title: Data on the Implementation of the 1958 National Defense Student Loan Program

description: This repository includes the code and data to construct a dataset summarizing the implementation of the National Defense Student Loan Program. This program began in 1958 and represented the beginning of the U.S. government's federal student loan program. We digitize measures from historical PDFs and calculate how exposure to the program varied over time and across states. These data can be used by researchers to understand the short and long-term impacts of this large and novel program on a variety of individual and state outcomes.
description: Response Rates: N/A
description: N/A
description: Smallest Geographic Unit: States
description: other;
DOI: 10.3886/e240575v1
title: Data on the Implementation of the 1958 National Defense Student Loan Program

description: This repository includes the code and data to construct a dataset summarizing the implementation of the National Defense Student Loan Program. This program began in 1958 and represented the beginning of the U.S. government's federal student loan program. We digitize measures from historical PDFs and calculate how exposure to the program varied over time and across states. These data can be used by researchers to understand the short and long-term impacts of this large and novel program on a variety of individual and state outcomes.
description: Response Rates: N/A
description: N/A
description: Smallest Geographic Unit: States
description: other;
DOI: 10.5281/zenodo.17942621
title: MIxS: Minimum Information about any (x) Sequence

description: The Minimum Information about any (x) Sequence (MIxS) specification is a set of community-developed standards for describing sequences and their associated metadata. MIxS provides checklists and environmental extensions to ensure that sequence data is accompanied by standardized contextual information, enabling data discovery, comparison, and integration across studies.
DOI: 10.17605/osf.io/utkh3
title: “Artificial Intelligence in Sustainable Finance: Machine Learning Insights into Green Finance Effectiveness under Policy Uncertainty.”
DOI: 10.15468/dl.eaq9g8
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echium stenosiphon glabrescens"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053893-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ma5aex
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echium stenosiphon glabrescens"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053894-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9wpns8e
title: GIS Data for Geologic Map of the Hailey 1 x 2 Degree Quadrangle, Idaho

description: This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the Hailey 1 x 2 degree quadrangle, Idaho (Worl and others, 1991). Attribute tables and geospatial features (lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in Idaho Geological Survey Geologic Map 10 (Worl and others, 1991). The database represents the geology for the 4.4-million-acre map plate at a publication scale of 1:250,000.
 
References:
Worl, R.G., Kiilsgaard, T.H., Bennett, E.H., Link, P.K., Lewis, R.S., Mitchell, V.E., Johnson, K.M., and Snyder, L.D., 1991, Geologic map of the Hailey 1 x 2 degree quadrangle, Idaho: Idaho Geological Survey, Geologic Map GM-10, scale 1:250,000; https://www.idahogeology.org/Product/GM-10.

U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.
DOI: 10.5281/zenodo.17939210
title: Modeling the climatic suitability of Digitaria insularis, a global invasive species, under climate change scenarios
DOI: 10.5281/zenodo.17939211
title: Modeling the climatic suitability of Digitaria insularis, a global invasive species, under climate change scenarios
DOI: 10.34740/kaggle/dsv/14167179
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.9uncb8
title: Occurrence Download

description: A dataset containing 34355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "StateProvince is one of (Ontario, Hamilton (city))",
 "TaxonKey is one of (Vincetoxicum officinale rossicum, Rhamnus cathartica, Alliaria petiolata, Heracleum mantegazzianum immaculatum, Heracleum mantegazzianum rosicalyx, Lonicera, Lonicera, Lonicera, Fallopia japonica, Fallopia japonica, Celastrus orbiculatus, Celastrus orbiculatus, Celastrus orbiculatus, Phragmites australis, Ailanthus altissima, Pastinaca sativa)",
 "Year 1000-2025"
 ]
}

 The dataset includes 34355 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053896-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17942653
title: AGE CHARACTERISTICS OF STUDENTS AND THEIR IMPACT ON CRITICAL THINKING.
DOI: 10.5281/zenodo.17942654
title: AGE CHARACTERISTICS OF STUDENTS AND THEIR IMPACT ON CRITICAL THINKING.
DOI: 10.15468/dl.45punb
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((42.77599 -25.85804,50.97272 -25.85804,50.97272 -11.9136,42.77599 -11.9136,42.77599 -25.85804))",
 "HasCoordinate is true",
 "TaxonKey is Sporobolus"
 ]
}

 The dataset includes 968 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053897-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1uywnrt
title: GIS Data for Geologic Map of the Eastern Part of the Challis National Forest and Vicinity, Idaho

description: This U.S. Geological Survey (USGS) data release provides a digital geospatial database for the geologic map of the eastern part of the Challis National Forest and vicinity, Idaho (Wilson and Skipp, 1994). Attribute tables and geospatial features (lines and polygons) conform to the Geologic Map Schema (USGS NCGMP, 2020) and represent the geologic map as published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-2395 (Wilson and Skipp, 1994). The database represents the geology for the 2.7-million-acre map plate at a publication scale of 1:250,000. The map covers primarily Butte, Custer, Lemhi and Blaine Counties, but also includes minor parts of Clark County.

References: 
U.S. Geological Survey National Cooperative Geologic Mapping Program, 2020, GeMS (Geologic Map Schema) - A standard format for the digital publication of geologic maps: U.S. Geological Survey Techniques and Methods, book 11, chap. B10, 74 p., https://doi.org//10.3133/tm11B10.

Wilson, A.B., and Skipp, Betty, 1994, Geologic map of the eastern part of the Challis National Forest and vicinity, Idaho: U.S. Geological Survey, Miscellaneous Investigations Series Map I-2395, scale 1:250,000,  https://ngmdb.usgs.gov/Prodesc/proddesc_10267.htm.
DOI: 10.5281/zenodo.10373045
title: Quantifying meridional advection in the auroral E-region for a range of geomagnetic activity levels

description: This repository contains the data used to reproduce the plots in the paper titled:

Quantifying meridional advection in the auroral E-region for a range of geomagnetic activity levels

The paper accepted on 02/2025.





Quantifying Meridional Advection in the Auroral E-Region For a Range of Geomagnetic Activity Levels

Mesquita, R., Kaeppler, S. R., Varney, R., Reimer, A., Pfaff, R. F., Craven, J., et al. (2025). Quantifying meridional advection in the auroral E-region for a range of geomagnetic activity levels. Journal of Geophysical Research: Space Physics, 130, e2024JA032952. https://doi.org/10.1029/2024JA032952