cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.aargxy
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20.14723 32.74421,16.14723 32.74421,16.14723 47.25579,-20.14723 47.25579,-20.14723 32.74421))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euchloe bazae"
 ]
}

 The dataset includes 167 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007728-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.bbea6758
title: AGER Archéogéographie et Géoarchéologie du Premier Remiremont

description: Cette base de données a été réalisée dans le cadre du CPER ADAGE 2021-2027. Elle reprend les travaux de recherche du PCR AGER (Archéogéographie et Géoarchéologie du premier Remiremont et de ses abords) dans le massif du Fossard afin de caractériser l’occupation de ce massif via des prospections, analyses de clichés aériens, de LiDAR, d’analyse des sols, etc.
DOI: 10.5281/zenodo.17481301
title: Phase-Dependent Neuromechanical Lateralization in Human Single-Leg Push-Off_Raw Data & Matlab Code
DOI: 10.5281/zenodo.17481300
title: Phase-Dependent Neuromechanical Lateralization in Human Single-Leg Push-Off_Raw Data & Matlab Code
DOI: 10.34847/nkl.db53j42l
title: Sites archéologiques de la Lorraine médiévale

description: L'Itinéraire Médiéval des sites Archéologiques du Grand Est (I.M.A.G.E.) est une base de données iconographique produite par le laboratoire Histoire et Cultures de l’Antiquité et du Moyen Âge de l’Université de Lorraine.
DOI: 10.15468/dl.bs3nja
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Trinidad and Tobago",
 "TaxonKey is Psalmopoeus cambridgei"
 ]
}

 The dataset includes 189 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007730-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.3dabwymg
title: Phénomènes du projet IKARE

description: Le projet IKARE consiste en un inventaire spéléo-karstologique où les formations superficielles de type dolines, sources, etc sont enregistrées. Les précisions sur le type de formation sont dans le champs "commentaire" et requêtables via une recherche de type textuelle.
DOI: 10.5281/zenodo.17475601
title: Software and dataset for paper "Study of arbirtarily low shear rate rheology using dissipative particle dynamics"

description: Structure of the repository

This repository is divided in two archives: data and software.

The archive data contains a figureXx.csv file for every subfigure of the paper, where Xx indicates the subfigure.The archive software contains the in-house software used to perform the simulations.

Every other software used it's listed at the end of this description, with its version specified.

Archive software

This archive contains three subdirectories:- SLLOD_nve is an implementation of SLLOD in LAMMPS without the Nosè-Hoover thermostat, its contents must be copied in lammps-version/src/ before building LAMMPS to make the relative fix available.- TTCF4LAMMPS is a Python module to perform TTCF with LAMMPS, the costantly updated repository can be found at TTCF4LAMMPS and the code stored in this repo correspond to the commit at TTCF4LAMMPS@9508b4f.- ttcfTemplateDPD is a template folder that can be used to reproduce the results published in the paper.    The files here contained are a different version, specific for a DPD simple fluid, of some of the file alredy present in TTCF4LAMMPS.    The only addition is allRun, a bash file that contain the command to launch the TTCF procedure with parallelization.

**N.B.**: the TTCF technique requires many simulations, that must be initialized with different random seeds.For this reason, it is not possible to obtain the exact results reported in `data`, but it statistically similar values.

External software used



LAMMPS, version 29Aug2024

Python, version 3.12

matplotlib, version 3.10.6

mpi4py, version 4.1.0

numpy, version 2.3.3

PyYAML, version 6.0.2

scipy, version 1.16.2

setuptools, version 80.9.0
DOI: 10.5281/zenodo.17475602
title: Software and dataset for paper "Study of arbirtarily low shear rate rheology using dissipative particle dynamics"

description: Structure of the repository

This repository is divided in two archives: data and software.

The archive data contains a figureXx.csv file for every subfigure of the paper, where Xx indicates the subfigure.The archive software contains the in-house software used to perform the simulations.

Every other software used it's listed at the end of this description, with its version specified.

Archive software

This archive contains three subdirectories:- SLLOD_nve is an implementation of SLLOD in LAMMPS without the Nosè-Hoover thermostat, its contents must be copied in lammps-version/src/ before building LAMMPS to make the relative fix available.- TTCF4LAMMPS is a Python module to perform TTCF with LAMMPS, the costantly updated repository can be found at TTCF4LAMMPS and the code stored in this repo correspond to the commit at TTCF4LAMMPS@9508b4f.- ttcfTemplateDPD is a template folder that can be used to reproduce the results published in the paper.    The files here contained are a different version, specific for a DPD simple fluid, of some of the file alredy present in TTCF4LAMMPS.    The only addition is allRun, a bash file that contain the command to launch the TTCF procedure with parallelization.

**N.B.**: the TTCF technique requires many simulations, that must be initialized with different random seeds.For this reason, it is not possible to obtain the exact results reported in `data`, but it statistically similar values.

External software used



LAMMPS, version 29Aug2024

Python, version 3.12

matplotlib, version 3.10.6

mpi4py, version 4.1.0

numpy, version 2.3.3

PyYAML, version 6.0.2

scipy, version 1.16.2

setuptools, version 80.9.0
DOI: 10.15468/dl.577j9f
title: Occurrence Download

description: A dataset containing 4817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia)",
 "Geometry POLYGON((-25.42813 38.40032,-10.8633 15.70182,90.33411 25.34868,125.13842 13.99945,161.64518 45.58817,137.24432 60.53133,109.62782 59.96388,116.43738 82.28404,55.01943 81.91164,-25.42813 38.40032))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rumex acetosa"
 ]
}

 The dataset includes 4817 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007733-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17481358
title: Brain–Heart Interaction in Intracerebral Hemorrhage: Clinical Dataset

description: This dataset comprises detailed clinical, neuroimaging, biochemical, and electrocardiographic data from 574 patients with spontaneous intracerebral hemorrhage (ICH), collected from a single tertiary medical center. It is designed to facilitate research on brain–heart interactions, cardiac injury mechanisms, and prognostic modeling after ICH. All variables were extracted from electronic medical records and imaging archives at admission, and manually verified by two independent investigators to ensure accuracy and consistency.

Key variable categories include:

• Demographics and baseline features

• Medical history and pre-onset medication

• Imaging characteristics

• Biochemical cardiac markers

• Electrocardiographic features

• Outcome measures: in-hospital mortality and withdrawal of life-sustaining therapy (WLST) status.

Purpose

The dataset aims to provide a structured clinical foundation for analyzing the association between hematoma characteristics and cardiac injury, and for developing integrated predictive models based on brain–heart interaction mechanisms.

Data Access

This study is committed to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. To balance the imperative of protecting sensitive patient information with the academic community's need for reproducibility, the dataset is shared under a restricted access model. It is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0). Access is available to qualified researchers upon a justified request submitted to the corresponding author or data custodian. By requesting access, the user agrees to the terms of a Data Use Agreement, committing to use the data solely for validation or non-commercial academic research, to not attempt to re-identify individuals, and to not redistribute the data to other parties.
DOI: 10.15468/dl.3h9tae
title: Occurrence Download

description: A dataset containing 23042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((126.7178 37.50598,126.85633 37.50598,126.85633 37.61969,126.7178 37.61969,126.7178 37.50598))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2015-2025"
 ]
}

 The dataset includes 23042 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007734-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17480616
title: Brain–Heart Interaction in Intracerebral Hemorrhage: Clinical Dataset

description: This dataset comprises detailed clinical, neuroimaging, biochemical, and electrocardiographic data from 574 patients with spontaneous intracerebral hemorrhage (ICH), collected from a single tertiary medical center. It is designed to facilitate research on brain–heart interactions, cardiac injury mechanisms, and prognostic modeling after ICH. All variables were extracted from electronic medical records and imaging archives at admission, and manually verified by two independent investigators to ensure accuracy and consistency.

Key variable categories include:

• Demographics and baseline features

• Medical history and pre-onset medication

• Imaging characteristics

• Biochemical cardiac markers

• Electrocardiographic features

• Outcome measures: in-hospital mortality and withdrawal of life-sustaining therapy (WLST) status.

Purpose

The dataset aims to provide a structured clinical foundation for analyzing the association between hematoma characteristics and cardiac injury, and for developing integrated predictive models based on brain–heart interaction mechanisms.

Data Access

This study is committed to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. To balance the imperative of protecting sensitive patient information with the academic community's need for reproducibility, the dataset is shared under a restricted access model. It is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0). Access is available to qualified researchers upon a justified request submitted to the corresponding author or data custodian. By requesting access, the user agrees to the terms of a Data Use Agreement, committing to use the data solely for validation or non-commercial academic research, to not attempt to re-identify individuals, and to not redistribute the data to other parties.
DOI: 10.15468/dl.w7pqxx
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Phormictopus cancerides"
 ]
}

 The dataset includes 70 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007735-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13552956
title: e-IPO Indonesia Data - Investment
DOI: 10.5281/zenodo.17433875
title: Supplementary Materials for "Mapping the Spatial Distribution of Photovoltaic Power Plants in Northwest China Using Remote Sensing and Machine Learning"

description: The supplementary materials include all data and figures supporting the methodology and results of the study 

Tables and Excel files: Mutual information result.xlsx, Pearson correlation results.xlsx, and The 360 feature names after screening.xlsx provide detailed statistical analysis and feature selection results, including mutual information, Pearson correlation coefficients, and the final screened feature set used in the study.

CSV file: Variance calculation result.csv contains variance analysis for all candidate features.

Text files: RELIEF-F Fine Sample Interval Results.txt and RFECV 10-fold cross-validation -Results.txt document detailed results of the feature selection procedures and model cross-validation performance.

Shapefile datasets: npvcaiyangdian.* and pvcaiyangdian.* include sampling point locations and attribute data for PV and non-PV samples used in classification, containing .shp, .shx, .dbf, .prj, .sbn, .sbx, and .shp.xml files.

Figures:





Fig. S1: Location of the study area and long-term annual average values for the potential PV power generation period from 2007 to 2018 (data sourced from Global Solar Atlas, accessed on December 8, 2024).




Fig. S2: (a) Spatial coverage frequency of Sentinel-2 images with cloud cover <15%; (b) Spatial distribution of PV and non-PV sample points.




Fig. S3: Workflow for classifying PV power plants.




Fig. S4: Comparative analysis of classification accuracy and running time between Relief-F and RFECV feature selection methods.




Fig. S5: Pearson correlation coefficients of the top 20 preferred features (- indicates top ten in absolute ranking with PV_label).




Fig. S6: Mutual information of the top 20 preferred features (- indicates top ten in ranking with PV_label).




Fig. S7: SHAP-based feature importance analysis of the RF classifier (a: SHAP summary plot; b: mean absolute SHAP values for each feature, Class 0: non-PV, Class 1: PV).




Fig. S8: Classification results of PV power plants.




Fig. S9: Spatial distribution characteristics and statistical analysis of PV power plants (a: kernel density of PV stations in 2023; b: comparison of PV area among regions; c: correlation between PV area and newly added & cumulative grid-connected capacity).




Fig. S10: Mapping result of PV power plants.




Fig. S11: SHAP waterfall explanation comparison between PV and non-PV samples (a,b: PV samples; c,d: non-PV samples).




Fig. S12: Illustration of main sources of classification errors.




Fig. S13: Location map of detected PV power plants, main power lines, and NPP-VIRS (2023 mean).



These supplementary files enable reproducibility and transparency of the PV mapping workflow, feature selection, and classification analyses.
DOI: 10.15468/dl.87frus
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phormictopus atrichomatus"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007737-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8d9baw
title: Occurrence Download

description: A dataset containing 584635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "DatasetKey is one of (2021_nsmk_biodiversity_observations_bi_eagle_43792, Bird survey of Budai salt pans in Taiwan, 2021_nsmk_biodiversity_observations_bird_136784, 2021_nsmk_biodiversity_observations_bi_eagle_81252, Taiwan New Year Bird Count, 2021_nsmk_biodiversity_observations_bird_197960, The Taiwan Breeding Bird Survey Data, iNaturalist Research-grade Observations, Acoustic detections of birds using the SILIC in Yushan National Park, Taiwan)",
 "Geometry POLYGON((71.286 15.752,136.694 15.752,136.694 58.635,71.286 58.635,71.286 15.752))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year is 2020"
 ]
}

 The dataset includes 584635 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007731-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cn63ba
title: Occurrence Download

description: A dataset containing 1190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Acomys cahirinus"
 ]
}

 The dataset includes 1190 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007738-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.30044
title: A Logical Fallacy Dataset from 2015 to 2025
title: 2015-2025年逻辑谬误数据集

description: This dataset includes 20,036 logical fallacy examples from 2015 to 2025, covering two cognitive dimensions and 13 fallacy types. It is in JSON format and has a file size of 34.2 MB.
description: This dataset includes 20,036 logical fallacy examples from 2015 to 2025, covering two cognitive dimensions and 13 fallacy types. It is in JSON format and has a file size of 34.2 MB.
DOI: 10.15468/dl.h4myup
title: Occurrence Download

description: A dataset containing 54226 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rusa unicolor"
 ]
}

 The dataset includes 54226 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007706-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bus9b3
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Lagochilus macrodontus"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007740-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnrk6u
title: Occurrence Download

description: A dataset containing 6081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Europe",
 "Geometry POLYGON((-32.23324 63.73272,-17.52034 27.55102,84.86943 26.50008,77.2127 86.10233,4.24873 69.2876,-20.67311 71.68971,-32.23324 63.73272))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rumex acetosa"
 ]
}

 The dataset includes 6081 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007739-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pm4y2y
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phoneyusa manicata"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007741-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngsejc
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Limonium chrysocomum"
 ]
}

 The dataset includes 42 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007742-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h26tra
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Montecincla jerdoni"
 ]
}

 The dataset includes 149 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007743-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yzdcf5
title: Occurrence Download

description: A dataset containing 23042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((126.7178 37.50598,126.85633 37.50598,126.85633 37.61969,126.7178 37.61969,126.7178 37.50598))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2015-2025"
 ]
}

 The dataset includes 23042 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007744-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.