cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18120458
title: Contrasting responses of Odonata communities to lentic and lotic habitats in a tropical dry forest

description: Dataset of Odonata species collected in lentic and lotic habitats in a Tropical Dry Forest in Northeastern Brazil.
DOI: 10.5281/zenodo.18337022
title: Hopfield networks examples datasets
DOI: 10.5281/zenodo.18337021
title: Hopfield networks examples datasets
DOI: 10.5281/zenodo.17657880
title: DT02_UC1_ Parking Data _EMERALDS

description: This dataset was utilized in WP5: Use Cases Experimentation and Assessment Cycles within UC1: Risk Assessment, Prediction, and Forecasting during Events, as part of the EMERALDS project.

It features historical parking occupancy data for public parking facilities in The Hague, including the Scheveningen area. The data is sourced from the RDW Open Data API and includes timestamps, parking facility identifiers, number of vacant spaces, total capacity, and occupancy percentages. The dataset supports EMERALDS UC1 by enabling analysis of parking utilization patterns and their correlation with crowd dynamics during events.
DOI: 10.5281/zenodo.17657881
title: DT02_UC1_ Parking Data _EMERALDS

description: This dataset was utilized in WP5: Use Cases Experimentation and Assessment Cycles within UC1: Risk Assessment, Prediction, and Forecasting during Events, as part of the EMERALDS project.

It features historical parking occupancy data for public parking facilities in The Hague, including the Scheveningen area. The data is sourced from the RDW Open Data API and includes timestamps, parking facility identifiers, number of vacant spaces, total capacity, and occupancy percentages. The dataset supports EMERALDS UC1 by enabling analysis of parking utilization patterns and their correlation with crowd dynamics during events.
DOI: 10.5281/zenodo.18141444
title: Stress_Adaptation
DOI: 10.5281/zenodo.18141443
title: Stress_Adaptation
DOI: 10.6084/m9.figshare.31127254
title: S4 Table. Comparison of Clinical Characteristics Between Primary and Secondary Infection Data Sets in Sepsis.

description: Comparison of Clinical Characteristics Between Primary and Secondary Infection Data Sets in Sepsis.Two-sample t-test was used to calculate the P-value for age between groups, while Fisher's exact test was used to calculate the P-values for gender and mortality between groups.
DOI: 10.6084/m9.figshare.31127254.v1
title: S4 Table. Comparison of Clinical Characteristics Between Primary and Secondary Infection Data Sets in Sepsis.

description: Comparison of Clinical Characteristics Between Primary and Secondary Infection Data Sets in Sepsis.Two-sample t-test was used to calculate the P-value for age between groups, while Fisher's exact test was used to calculate the P-values for gender and mortality between groups.
DOI: 10.5281/zenodo.18017388
title: DT14_UC3_Riga's Public Transport Network Real-time data_GTFS_EMERALDS

description: This dataset was utilized in WP5: Use Cases Experimentation and Assessment Cycle within UC3: Traffic Data Analytics for the Public Transportation System, as part of the EMERALDS project.

It comprises both historical and real-time GTFS Realtime data, including vehicle positions (latitude and longitude), speeds, delays, and trip adjustments. The data can be used to visualize vehicle locations at specific timestamps or to analyze average delays for particular routes.

This version (v0.2) updates the metadata to correct inaccuracies and improve clarity.
DOI: 10.5281/zenodo.17658089
title: DT14_UC3_Riga's Public Transport Network Real-time data_GTFS_EMERALDS

description: This dataset was utilized in WP5: Use Cases Experimentation and Assessment Cycle within UC3: Traffic Data Analytics for the Public Transportation System, as part of the EMERALDS project.

It comprises both historical and real-time GTFS Realtime data, including vehicle positions (latitude and longitude), speeds, delays, and trip adjustments. The data can be used to visualize vehicle locations at specific timestamps or to analyze average delays for particular routes.

This version (v0.2) updates the metadata to correct inaccuracies and improve clarity.
DOI: 10.5281/zenodo.18341950
title: Definition of Space in the CRVD Framework

description: Space exists if and only if volumetric energy exists. The geometric and dynamical properties of space are determined by the state of volumetric energy.
DOI: 10.5281/zenodo.18341951
title: Definition of Space in the CRVD Framework

description: Space exists if and only if volumetric energy exists. The geometric and dynamical properties of space are determined by the state of volumetric energy.
DOI: 10.5281/zenodo.18340146
title: Dataset of Equatorial Plasma Bubble Impact on L-Band Synthetic Aperture Radar and GNSS over Bali and Kalimantan

description: The ALOS-2 satellite passed over the Indonesian region one day before the largest geomagnetic storm in May 2024, and its illuminating microwaves at ionospheric heights overlapped with a high rate of total electron content (TEC) change index associated with equatorial plasma bubbles (EPBs). The TEC depletion map suggests a large-scale appearance of EPBs during this period over the Kalimantan region. To examine the impact of EPBs on synthetic aperture radar (SAR) images, we conducted azimuth offset (shift) tracking to quantify ionospheric-induced distortions. This dataset provides GNSS ROTI and TEC depletion, as well as ALOS-2-based TEC gradients. The ownership of the ALOS-2/PALSAR-2 data belongs to JAXA, and the data are accessible upon request. The authors thank Badan Informasi Geospasial (BIG). The station coordinates and ROTI maps are accessible via https://gatotkaca.brin.go.id/petaionosfer/ionosphericmap. Files starting with mvgavg contain 60-minute detrended TEC for a single epoch, whereas files starting with s_2024130 contain ROTI values at specific times. The imag_integrated.vtec file represents TEC gradients derived from the ALOS-2 satellite.
DOI: 10.15468/dl.sfh2j8
title: Occurrence Download

description: A dataset containing 280385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Switzerland",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 280385 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005078-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ctnygyvwt5
title: Clinical Application of Cyanoacrylate Tissue Adhesive in Pediatric Ophthalmic Emergency: A Randomized Controlled Study

description: It includes: baseline data (contents in Table 1), intervention grouping information, primary/secondary outcomes (data in Table 2-3)，Original scoring scale records (such as VSS, FACES scores)
DOI: 10.17632/ctnygyvwt5.1
title: Clinical Application of Cyanoacrylate Tissue Adhesive in Pediatric Ophthalmic Emergency: A Randomized Controlled Study

description: It includes: baseline data (contents in Table 1), intervention grouping information, primary/secondary outcomes (data in Table 2-3)，Original scoring scale records (such as VSS, FACES scores)
DOI: 10.5281/zenodo.15281785
title: Mechanical energy loss derived from Starlink satellites

description: The mechanical energy loss of each satellite with a one-minute resolution calculated using the Starlink satellite prediction ephemeris data publicly released by SpaceX
DOI: 10.5281/zenodo.15281786
title: Mechanical energy loss derived from Starlink satellites

description: The mechanical energy loss of each satellite with a one-minute resolution calculated using the Starlink satellite prediction ephemeris data publicly released by SpaceX
DOI: 10.15468/dl.rg9cbk
title: Occurrence Download

description: A dataset containing 115765 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NATURING_CS_Observation_Dataset"
 ]
}

 The dataset includes 115765 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007010-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48324/dandi.001610/0.251125.0504
title: Integrator dynamics in cortico-basal ganglia loop for flexible motor timing

description: Data from "Integrator dynamics in cortico-basal ganglia loop for flexible motor timing" Yang et al 
Example codes to plot data is at https://github.com/inagaki-lab/Yang_et_al_2024
DOI: 10.15468/dl.bbwpta
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phaeophilales"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007015-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17170776
title: Supporting Data from: Resolution-Adaptive Binning Enhances Machine Learning Modeling by Interbatch and Multiplatform Orbitrap-Based Shotgun Mass Spectrometry Data Integration

description: §  Supporting file 1

A spreadsheet recording numerous iterations for hyperparameter tuning for logistic regression model.

§  Supporting file 2

A spreadsheet recording numerous iterations for hyperparameter tuning for linear Support Vector Classifier model.

§  Supporting file 3

A spreadsheet recording numerous iterations for hyperparameter tuning for gradient boosting model.

§  Supporting file 4

A spreadsheet recording numerous iterations for hyperparameter tuning for eXtreme Gradient Boosting model.

§  Supporting file 5

A spreadsheet recording numerous iterations for hyperparameter tuning for decision tree model.

§  Supporting file 6

A spreadsheet recording numerous iterations for hyperparameter tuning for random forest model.

§  Supporting file 7

A spreadsheet recording binning performance before data integration (batch 1).

§  Supporting file 8

A spreadsheet recording binning performance before data integration (batch 2).

§  Supporting file 9

A spreadsheet recording binning performance after inter-batch data integration.

§  Supporting file 10

A spreadsheet recording binning performance for the recovery analysis.

§  Supporting dataset 1

A zip collection of DESI-MSI raw data for the trainging dataset.

§  Supporting dataset 2

A zip collection of DESI-MSI raw data for the external dataset used for data ingestion.

§  Supporting dataset 3

A zip collection of MS raw data for the fine-needle aspiration smear DESI-MSI dataset.

§  Supporting dataset 4

A zip collection of MS raw data for the direction infusion dataset.

§  Supporting dataset 5

A zip collection of histograms of the m/z buckets before data integration (batch 1).

§  Supporting dataset 6

A zip collection of histograms of the m/z buckets before data integration (batch 2).

§  Supporting dataset 7

A zip collection of histograms of the m/z buckets after inter-batch data integration.

§  Supporting dataset 8

A zip collection of histograms of the m/z buckets for the recovery analysis.
DOI: 10.5281/zenodo.14962745
title: Supporting Data from: Resolution-Adaptive Binning Enhances Machine Learning Modeling by Interbatch and Multiplatform Orbitrap-Based Shotgun Mass Spectrometry Data Integration

description: §  Supporting file 1

A spreadsheet recording numerous iterations for hyperparameter tuning for logistic regression model.

§  Supporting file 2

A spreadsheet recording numerous iterations for hyperparameter tuning for linear Support Vector Classifier model.

§  Supporting file 3

A spreadsheet recording numerous iterations for hyperparameter tuning for gradient boosting model.

§  Supporting file 4

A spreadsheet recording numerous iterations for hyperparameter tuning for eXtreme Gradient Boosting model.

§  Supporting file 5

A spreadsheet recording numerous iterations for hyperparameter tuning for decision tree model.

§  Supporting file 6

A spreadsheet recording numerous iterations for hyperparameter tuning for random forest model.

§  Supporting file 7

A spreadsheet recording binning performance before data integration (batch 1).

§  Supporting file 8

A spreadsheet recording binning performance before data integration (batch 2).

§  Supporting file 9

A spreadsheet recording binning performance after inter-batch data integration.

§  Supporting file 10

A spreadsheet recording binning performance for the recovery analysis.

§  Supporting dataset 1

A zip collection of DESI-MSI raw data for the trainging dataset.

§  Supporting dataset 2

A zip collection of DESI-MSI raw data for the external dataset used for data ingestion.

§  Supporting dataset 3

A zip collection of MS raw data for the fine-needle aspiration smear DESI-MSI dataset.

§  Supporting dataset 4

A zip collection of MS raw data for the direction infusion dataset.

§  Supporting dataset 5

A zip collection of histograms of the m/z buckets before data integration (batch 1).

§  Supporting dataset 6

A zip collection of histograms of the m/z buckets before data integration (batch 2).

§  Supporting dataset 7

A zip collection of histograms of the m/z buckets after inter-batch data integration.

§  Supporting dataset 8

A zip collection of histograms of the m/z buckets for the recovery analysis.
DOI: 10.34740/kaggle/dsv/13859048
title: ITB Official News Dataset (Berita Resmi ITB)
DOI: 10.15468/dl.p6gpcm
title: Occurrence Download

description: A dataset containing 2147675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "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 Polypodiales",
 "Year 2002-2014"
 ]
}

 The dataset includes 2147675 records from 2194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006990-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5p3dn
title: Occurrence Download

description: A dataset containing 885595 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe"
 ]
}

 The dataset includes 885595 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013742-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29946446
title: Fig. 2b - ECOR31 mCpol D57A (ORB63917)

description: Fig. 2b - ECOR31 mCpol D57A (ORB63917)
DOI: 10.6084/m9.figshare.29946446.v1
title: Fig. 2b - ECOR31 mCpol D57A (ORB63917)

description: Fig. 2b - ECOR31 mCpol D57A (ORB63917)
DOI: 10.15468/dl.34msc6
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Base de datos de Rana catesbeiana."
 ]
}

 The dataset includes 63 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009876-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15556638
title: Greater Calgary Metropolitan Region Ecological Connectivity Spatial Products

description: The Greater Calgary Region ecological network geodatabase includes a series of products to help integrate ecological connectivity for terrestrial mammals into land use planning. Products include: 

Ecological_Network: consists of core areas (areas less likely to be developed) and corridors (movement areas for terrestrial mammals) in the Greater Calgary Region. This layer was refined using Overlay_EC_Final, and Core_prioritization layers after discussion with County representative's. 

Overlay_EC_Final: product that combines terrestrial species connectivity modeling (mule deer, moose, and cougar) and a species agnostic (structural) connectivity model.  Results are based on z-score where 0-1 was identified as medium connectivity value and > 1 represents high connectivity value.  The medium and high connectivity values were refined and delineated as corridors in the Ecological Network. 

Core_prioritization: Core areas were defined as areas less likely to be developed (crown not manages by Transportation and Economic Corridors, Parks, municipal ER, private land conservation). To prioritize the core aeras role in the ecological network we ran a confore analysis for three species and then took the average. 

AVC_cluster_sig: Based on five years (2019-2023) of Alberta Wildlife Watch data provided by Alberta Transportation and Economic Corridors we ran a cluster analysis to identify areas of high risk to motorist safety. See page 18 of technical report. 

AVC_Corridor_alignment: Highlights areas where there is alignment between AVC clusters (motorist safety) and high ecological connectivity values. See page 20 of technical report.
DOI: 10.5281/zenodo.15556639
title: Greater Calgary Metropolitan Region Ecological Connectivity Spatial Products

description: The Greater Calgary Region ecological network geodatabase includes a series of products to help integrate ecological connectivity for terrestrial mammals into land use planning. Products include: 

Ecological_Network: consists of core areas (areas less likely to be developed) and corridors (movement areas for terrestrial mammals) in the Greater Calgary Region. This layer was refined using Overlay_EC_Final, and Core_prioritization layers after discussion with County representative's. 

Overlay_EC_Final: product that combines terrestrial species connectivity modeling (mule deer, moose, and cougar) and a species agnostic (structural) connectivity model.  Results are based on z-score where 0-1 was identified as medium connectivity value and > 1 represents high connectivity value.  The medium and high connectivity values were refined and delineated as corridors in the Ecological Network. 

Core_prioritization: Core areas were defined as areas less likely to be developed (crown not manages by Transportation and Economic Corridors, Parks, municipal ER, private land conservation). To prioritize the core aeras role in the ecological network we ran a confore analysis for three species and then took the average. 

AVC_cluster_sig: Based on five years (2019-2023) of Alberta Wildlife Watch data provided by Alberta Transportation and Economic Corridors we ran a cluster analysis to identify areas of high risk to motorist safety. See page 18 of technical report. 

AVC_Corridor_alignment: Highlights areas where there is alignment between AVC clusters (motorist safety) and high ecological connectivity values. See page 20 of technical report.
DOI: 10.15468/dl.t84szb
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wallemia muriae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 550 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031351-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzx9fs
title: Occurrence Download

description: A dataset containing 29813247 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 {
 "or" : [
 "DatasetKey is one of (NABU|naturgucker, Flora von Deutschland (Phanerogamen), VegetWeb - Repositorium von Vegetationsaufnahmen, Insekten Sachsen, iNaturalist Research-grade Observations, Harmonised freshwater fish occurrence and abundance data for 12 federal states in Germany, Observation.org, Nature data from around the World, EOD – eBird Observation Dataset, The Spider Collection at the Staatliches Museum für Naturkunde Karlsruhe, Neuropteren Deutschlands (Neuropterida of Germany), ArtenFinder, Occurrence Data of Vascular Plants collected or compiled for the Flora of Bavaria, Floristic records from survey studies of the Bayerisches Landesamt für Umwelt, Historical Vertebrate Distributions in Bavaria 1845, Biodiversity data of gravel pit lakes in Northern Germany, Found Animal Survey Germany, Tierfund-Kataster Deutschland (TFK-D))",
 "PublishingOrg is one of (57254bd0-8256-11d8-b7ed-b8a03c50a862, 0674aea0-a7e1-11d8-9534-b8a03c50a862, 10980920-6dad-11da-ad13-b8a03c50a862, 99ea0c90-61e5-11dc-a64c-b8a03c50a862, 463555b0-d081-11da-ae8f-b8a03c50a862, 6e1cad80-bdf5-11d8-84ea-b8a03c50a862, c76cf030-2a95-11da-9cc1-b8a03c50a862, 48490260-8fc0-11dd-be72-b8a03c50a862, 98dbab03-09e5-4ceb-988e-04f3e803decb)",
 "NetworkKey is one of (d1627240-04ab-4162-aee9-b16df6bc8308, 3aee7756-565e-4dc5-b22c-f997fbd7105c)"
 ]
 },
 "Country is Germany",
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Fallopia [GBIF Backbone Taxonomy], Plantae [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 29813247 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031318-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/o8ngy7
title: Entretien avec Julia Jakubowska. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 12 février 2010 à Varsovie, Pologne. Il a été mené par Agnieszka Niewiedzial, avec la participation de Marta Craveri qui s'occupait de l'enregistrement. L'entretien a été réalisé en polonais et traduit et interprété en français. Il a duré 1 heure et 46 minutes.
DOI: 10.15468/dl.mxvudw
title: Occurrence Download

description: A dataset containing 1566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen)",
 "Country is one of (Colombia, Ecuador, Peru, Bolivia (Plurinational State of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Azteca"
 ]
}

 The dataset includes 1566 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031353-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b9vwym
title: Occurrence Download

description: A dataset containing 787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Stenamma manni"
 ]
}

 The dataset includes 787 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031354-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.