cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bbtvfk6954
title: Degraded Alpine Meadow Hyperspectral Image Dataset

description: Degraded Alpine Meadow Hyperspectral Image Dataset
DOI: 10.17632/bbtvfk6954.1
title: Degraded Alpine Meadow Hyperspectral Image Dataset

description: Degraded Alpine Meadow Hyperspectral Image Dataset
DOI: 10.15468/dl.cbajsr
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cardiospermum halicacabum",
 "HasCoordinate is true",
 "Country is Namibia"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047805-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/h9p3px5njs
title: PTA/FeTiO3 XPS

description: XPS survey spectrum of FeTiO3 before and after PTA impregnation (Raw data for Figure 2a, "Development of heteropolyacid-modified natural ilmenite photocatalysts for the oxidation of As(III) and insights into their photoelectrochemical behavior")
DOI: 10.17632/h9p3px5njs.1
title: PTA/FeTiO3 XPS

description: XPS survey spectrum of FeTiO3 before and after PTA impregnation (Raw data for Figure 2a, "Development of heteropolyacid-modified natural ilmenite photocatalysts for the oxidation of As(III) and insights into their photoelectrochemical behavior")
DOI: 10.17632/gd7xk8rngj
title: The efficacy and effectiveness of treating patients with respiratory problems using Systemic Manual Therapy during the Corona virus era

description: this study tested the treatment hypothesis for respiratory problems using systemic manual therapy previously proposed prior to the coronavirus pandemic during the five years since onset
DOI: 10.17632/gd7xk8rngj.1
title: The efficacy and effectiveness of treating patients with respiratory problems using Systemic Manual Therapy during the Corona virus era

description: this study tested the treatment hypothesis for respiratory problems using systemic manual therapy previously proposed prior to the coronavirus pandemic during the five years since onset
DOI: 10.17632/7m9bgmy8br
title: working memory encoding strategy dataset
DOI: 10.17632/7m9bgmy8br.1
title: working memory encoding strategy dataset
DOI: 10.17632/573xx2g7b6
title: Zn BES

description: Zn recovery BES operation data set
DOI: 10.17632/573xx2g7b6.1
title: Zn BES

description: Zn recovery BES operation data set
DOI: 10.17632/4c6btjd568
title: Female Leadership 03

description: Raw data and Authors
DOI: 10.17632/4c6btjd568.1
title: Female Leadership 03

description: Raw data and Authors
DOI: 10.7937/5qab-rb15
title: Multiomics in primary and metastatic breast tumors from the AURORA US network finds microenvironment and epigenetic drivers of metastasis (AURORA-Metastatic-Breast-Multiomics)

description: The AURORA US Metastatic Breast Cancer project is funded by the Breast Cancer Research Foundation (BCRF) Evelyn H. Lauder Founder's Fund for Metastatic Breast Cancer Research. This multi-center effort was conducted within the Translational Breast Cancer Research Consortium (TBCRC) and cancer researchers to better understand the metastatic process through the study of both the primary and metastatic tissue. In the retrospective phase, 55 patients with 31 primary tissues and 102 metastases were profiled using whole genome DNA sequencing, whole exome DNA sequencing, DNA methylation arrays, and RNA sequencing. The related molecular data are hosted in dbGaP and GEO

H&E slides are available for 184 specimens (17 samples have 2 images, 12 have 3 images).  H&E were performed on 53 primary breast cancer tissues, 99 metastatic samples, and 32 adjacent normal tissues. HLA-A immunofluorescence was performed on 37 samples.
DOI: 10.17632/93vp4n3pbs.1
title: Data supporting - Natural radionuclide distribution in Brazilian foods: activity concentrations and radiological dose assessment in coffee and fresh produce

description: This dataset contains the complete processed data for activity concentrations (in Bq/kg) for 226Ra, 228Ra, and 40K in all analyzed coffee, vegetable, legume, and fruit samples . It also includes the annual food consumption rates (kg/year) for the adult population used in the radiological dose assessment. Anthropogenic 137Cs was below detection limits in all samples.
DOI: 10.17632/kd6tjgy9y8
title: Colombia Environmental and Socioeconomic Satellite Dataset (2016–2021)

description: This dataset compiles a rich set of environmental, climatic, and socioeconomic indicators for Colombian municipalities spanning the years 2016–2021. The data combine multiple satellite-based and administrative sources, enabling spatially explicit analyses of environmental and economic dynamics across the country.

The dataset includes the following main variables:

PM2.5 concentration (log): Logarithm of the annual mean concentration (µg/m³) of particulate matter smaller than 2.5 micrometers, derived from global atmospheric reanalysis models as described by Morcrette et al. (2009) and Benedetti et al. (2009).

SO₄ concentration (log): Logarithm of the annual mean concentration (µg/m³) of sulfate aerosols, calculated from the NASA Global Modeling and Assimilation Office (GMAO, 2015) datasets.

Total value added (log): Logarithm of the total municipal value added, obtained from the Colombian National Administrative Department of Statistics (DANE, 2025).

Sum of Nighttime Lights (log): Logarithm of the annual sum of VIIRS Version 2 Nighttime Lights (NTL), used as a proxy for economic activity and urban development (Elvidge et al., 2021).

Mean of Nighttime Lights (log): Logarithm of the annual mean VIIRS V.2 NTL, reflecting average light intensity within each municipality (Elvidge et al., 2021).

Precipitation (log): Logarithm of total annual precipitation, obtained from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS; Funk et al., 2015).

Temperature (log): Logarithm of the annual mean land surface temperature, derived from the MODIS Land Surface Temperature and Emissivity dataset (Wan et al., 2021).

Dense vegetation area (log): Logarithm of the proportion of municipal area covered by dense vegetation, estimated using the Normalized Difference Vegetation Index (NDVI) following the approach of Sulla-Menashe and Friedl (2022).

Burned area (log): Logarithm of the total municipal area affected by fire during each year, based on MODIS Terra Thermal Anomalies and Fire products (Giglio et al., 2021).

Altitude (log): Logarithm of mean municipal elevation (meters above sea level), obtained from topographic datasets compiled by Universidad de los Andes.

Population density (log): Logarithm of population density (inhabitants per km²), also sourced from Universidad de los Andes.

Education expenditures (log): Logarithm of total central government transfers for education at the municipal level, based on administrative records compiled by Universidad de los Andes.
DOI: 10.17632/kd6tjgy9y8.1
title: Colombia Environmental and Socioeconomic Satellite Dataset (2016–2021)

description: This dataset compiles a rich set of environmental, climatic, and socioeconomic indicators for Colombian municipalities spanning the years 2016–2021. The data combine multiple satellite-based and administrative sources, enabling spatially explicit analyses of environmental and economic dynamics across the country.

The dataset includes the following main variables:

PM2.5 concentration (log): Logarithm of the annual mean concentration (µg/m³) of particulate matter smaller than 2.5 micrometers, derived from global atmospheric reanalysis models as described by Morcrette et al. (2009) and Benedetti et al. (2009).

SO₄ concentration (log): Logarithm of the annual mean concentration (µg/m³) of sulfate aerosols, calculated from the NASA Global Modeling and Assimilation Office (GMAO, 2015) datasets.

Total value added (log): Logarithm of the total municipal value added, obtained from the Colombian National Administrative Department of Statistics (DANE, 2025).

Sum of Nighttime Lights (log): Logarithm of the annual sum of VIIRS Version 2 Nighttime Lights (NTL), used as a proxy for economic activity and urban development (Elvidge et al., 2021).

Mean of Nighttime Lights (log): Logarithm of the annual mean VIIRS V.2 NTL, reflecting average light intensity within each municipality (Elvidge et al., 2021).

Precipitation (log): Logarithm of total annual precipitation, obtained from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS; Funk et al., 2015).

Temperature (log): Logarithm of the annual mean land surface temperature, derived from the MODIS Land Surface Temperature and Emissivity dataset (Wan et al., 2021).

Dense vegetation area (log): Logarithm of the proportion of municipal area covered by dense vegetation, estimated using the Normalized Difference Vegetation Index (NDVI) following the approach of Sulla-Menashe and Friedl (2022).

Burned area (log): Logarithm of the total municipal area affected by fire during each year, based on MODIS Terra Thermal Anomalies and Fire products (Giglio et al., 2021).

Altitude (log): Logarithm of mean municipal elevation (meters above sea level), obtained from topographic datasets compiled by Universidad de los Andes.

Population density (log): Logarithm of population density (inhabitants per km²), also sourced from Universidad de los Andes.

Education expenditures (log): Logarithm of total central government transfers for education at the municipal level, based on administrative records compiled by Universidad de los Andes.
DOI: 10.17632/zcjzz2ffb5
title: Geochemical data for the arc at the south side of Philippine Sea Plate

description: Geochemical data for the arc at the south side of Philippine Sea Plate
DOI: 10.17632/zcjzz2ffb5.3
title: Geochemical data for the arc at the south side of Philippine Sea Plate

description: Geochemical data for the arc at the south side of Philippine Sea Plate
DOI: 10.17898/adp_femakt16_v1/1
title: femakt16_p1_en_v2_r3.tab

description: :unav
DOI: 10.17898/adp_femakt16_v1/2
title: femakt16_p2_en_v1_r1.pdf

description: :unav
DOI: 10.17632/859c935kb8
title: Wearable Device for Parkinson's Tremor Monitoring: A Low-Cost Device Using 3D Printing for Research and Education.

description: Parkinson’s disease (PD) is a growing neurodegenerative disorder, with increasing global prevalence and challenges in both diagnosis and education. To assist in researching the domain of medical equipment and education training, this paper presents the design and implementation of wearable device for continuous tremor monitoring in PD patients by using low-cost materials and easy-to-build hardwares. The Parkinson’s hand-tremor monitor (PHTM) is designed to be lightweight and non-intrusive, providing real-time tremor detection on upper-limb by measuring acceleration for both clinical research and educational purposes. Notably, the PHTM is constructed by using fused deposition modelling techniques, offering a cost-efficient and rapid prototyping solution. Powered by a rechargeable battery, the PHTM is designed for portability, with modular components that ensure flexibility and ease of maintenance. In addition, experimental tests are performed with a slider-crank mechanism to verify and validate the accuracy of the monitoring tremor algorithm in real-time updating data. As a result, the PHTM meets design criteria, which consists of being lightweight, approximately 115 grams, and low-cost, around $97, with fast manufacturing time, being 10 hours. Furthermore, the monitoring tremor algorithm operates with results following the motion of the slider-crank mechanism and feedback the real-time data on software designed for smartphones.
DOI: 10.17898/adp_femakt16_v1/3
title: femakt16_vp1_en_v1_r1.pdf

description: :unav
DOI: 10.17898/adp_femakt16_v1
title: Intersekcionalnost in feministični aktivizem, 2016

description: Intersekcionalna perspektiva poudarja, da zatiranje v družbi izhaja iz številnih virov, ki se med seboj prepletajo in drug na drugega učinkujejo. Intersekcionalnost ni zgolj akademski projekt, je tudi del feminističnega aktivizma. Raziskava zajema analizo intersekcionalnosti v povezavi s študentskimi feminističnimi društvi, ki delujejo na 84 univerzah v Veliki Britaniji. Izvedena je bila s pomočjo intervjujev – pogovori z vodilnimi člani študentskih feminističnih društev v Združenem kraljestvu Velike Britanije in Severne Irske – in ankete, s katero smo zajeli večji delež članov društev.
DOI: 10.17632/859c935kb8.1
title: Wearable Device for Parkinson's Tremor Monitoring: A Low-Cost Device Using 3D Printing for Research and Education.

description: Parkinson’s disease (PD) is a growing neurodegenerative disorder, with increasing global prevalence and challenges in both diagnosis and education. To assist in researching the domain of medical equipment and education training, this paper presents the design and implementation of wearable device for continuous tremor monitoring in PD patients by using low-cost materials and easy-to-build hardwares. The Parkinson’s hand-tremor monitor (PHTM) is designed to be lightweight and non-intrusive, providing real-time tremor detection on upper-limb by measuring acceleration for both clinical research and educational purposes. Notably, the PHTM is constructed by using fused deposition modelling techniques, offering a cost-efficient and rapid prototyping solution. Powered by a rechargeable battery, the PHTM is designed for portability, with modular components that ensure flexibility and ease of maintenance. In addition, experimental tests are performed with a slider-crank mechanism to verify and validate the accuracy of the monitoring tremor algorithm in real-time updating data. As a result, the PHTM meets design criteria, which consists of being lightweight, approximately 115 grams, and low-cost, around $97, with fast manufacturing time, being 10 hours. Furthermore, the monitoring tremor algorithm operates with results following the motion of the slider-crank mechanism and feedback the real-time data on software designed for smartphones.
DOI: 10.15468/dl.2met3z
title: Occurrence Download

description: A dataset containing 4996440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain"
 ]
}

 The dataset includes 4996440 records from 1589 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047793-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sptjsq
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Daniellia oblonga Oliv.)"
 ]
}

 The dataset includes 37 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076071-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgtjew
title: Occurrence Download

description: A dataset containing 443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-21 -13,30 -13,30 60,-21 60,-21 -13))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is September",
 "OccurrenceStatus is Present",
 "TaxonKey is Cuculus canorus Linnaeus, 1758",
 "Year 2021-2021"
 ]
}

 The dataset includes 443 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076072-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b23epr
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bambusa vulgaris var. vittata Rivière & C.Rivière"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076073-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37jkuy
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anolis huilae Williams, 1982"
 ]
}

 The dataset includes 100 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076074-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2a3qah
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhododendron natalicium Sleumer"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076075-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13126113
title: Forest Monitoring Dataset

description: This file contains the dataset used in our work Tree semantic segmentation from aerial image time series. 

Ramesh, V., Ouaknine, A., & Rolnick, D. (2024). Tree semantic segmentation from aerial image time series. arXiv [Cs.CV]. Retrieved from http://arxiv.org/abs/2407.13102.

The dataset contains the tiled images and labels in png format, along with reference CSV's for the train-validation-test splits.

Abstract

Earth's forests play an important role in the fight against climate change, and are in turn negatively affected by it. Effective monitoring of different tree species is essential to understanding and improving the health and biodiversity of forests. In this work, we address the challenge of tree species identification by performing semantic segmentation of trees using an aerial image dataset spanning over a year. We compare models trained on single images versus those trained on time series to assess the impact of tree phenology on segmentation performances. We also introduce a simple convolutional block for extracting spatio-temporal features from image time series, enabling the use of popular pretrained backbones and methods. We leverage the hierarchical structure of tree species taxonomy by incorporating a custom loss function that refines predictions at three levels: species, genus, and higher-level taxa. Our findings demonstrate the superiority of our methodology in exploiting the time series modality and confirm that enriching labels using taxonomic information improves the semantic segmentation performance.
DOI: 10.5281/zenodo.13126114
title: Forest Monitoring Dataset

description: This file contains the dataset used in our work Tree semantic segmentation from aerial image time series. 

Ramesh, V., Ouaknine, A., & Rolnick, D. (2024). Tree semantic segmentation from aerial image time series. arXiv [Cs.CV]. Retrieved from http://arxiv.org/abs/2407.13102.

The dataset contains the tiled images and labels in png format, along with reference CSV's for the train-validation-test splits.

Abstract

Earth's forests play an important role in the fight against climate change, and are in turn negatively affected by it. Effective monitoring of different tree species is essential to understanding and improving the health and biodiversity of forests. In this work, we address the challenge of tree species identification by performing semantic segmentation of trees using an aerial image dataset spanning over a year. We compare models trained on single images versus those trained on time series to assess the impact of tree phenology on segmentation performances. We also introduce a simple convolutional block for extracting spatio-temporal features from image time series, enabling the use of popular pretrained backbones and methods. We leverage the hierarchical structure of tree species taxonomy by incorporating a custom loss function that refines predictions at three levels: species, genus, and higher-level taxa. Our findings demonstrate the superiority of our methodology in exploiting the time series modality and confirm that enriching labels using taxonomic information improves the semantic segmentation performance.
DOI: 10.15468/dl.mj9a8z
title: Occurrence Download

description: A dataset containing 2474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-74.24523 40.56289,-70.87575 40.56289,-70.87575 42.57528,-74.24523 42.57528,-74.24523 40.56289))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichoptera"
 ]
}

 The dataset includes 2474 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076076-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jr823y
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Dialium densiflorum Harms)"
 ]
}

 The dataset includes 13 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076078-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hjujbk
title: Occurrence Download

description: A dataset containing 9463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Anolis auratus Daudin, 1802"
 ]
}

 The dataset includes 9463 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076079-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc23x3sy
title: CCDC 1963440: Experimental Crystal Structure Determination

description: Related Article: Summaiya Hanif, Zia ul Haq Bhat, Ambreen Abbasi, Mohammad Jane Alam, Musheer Ahmad, Mohammad Shakir|2023|Inorg.Chim.Acta|552|121488|doi:10.1016/j.ica.2023.121488
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dpsnk
title: CCDC 2225479: Experimental Crystal Structure Determination

description: Related Article: Franziska Spruner von Mertz, Ricardo Molenda, Sebastian Boldt, Alexander Villinger, Peter Ehlers, Peter Langer|2023|Chem.-Eur.J.|29|e202204011|doi:10.1002/chem.202204011
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.