cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2ca8df
title: Occurrence Download

description: A dataset containing 1563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Erithalis P.Browne"
 ]
}

 The dataset includes 1563 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000531-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pr68wq
title: Occurrence Download

description: A dataset containing 1278 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Plethodon cheoah Highton & Peabody, 2000)"
 ]
}

 The dataset includes 1278 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000530-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpjvvp
title: Occurrence Download

description: A dataset containing 3073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "VerbatimScientificName is Sphagnum cuspidatum",
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 3073 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000532-250515123054153/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.29081789
title: Material suplementario del artículo: "Impacto de nuevos fármacos y calidad de la atención en trabajadores con diabetes bajo seguimiento continuo en el IMSS."

description: Material suplementario del artículo: "Impacto de nuevos fármacos y calidad de la atención en trabajadores con diabetes bajo seguimiento continuo en el IMSS."
DOI: 10.5281/zenodo.15359238
title: Human and conservation factors affect spatial variation of reef fish assemblages in Colombian Pacific reefs

description: Human populations and conservation efforts are recognized as influential factors that can impact marine communities, but their impacts are variable and occasionally contradictory. Using an empirical database of fish assemblages compiled from 393 underwater visual censuses along the Colombian Pacific Coast, we assessed spatial variation in these assemblages and investigated whether they are influenced by human and conservation factors which have either negative (i.e., number of fishers and market distance) or positive (i.e., conservation status and Marine Protect Area age) effects on fish communities. Our study reveals that remote locations have a higher fish density and biomass than those near the coast. Additionally, we found that grunts (Haemulidae) were the most species-rich family and contributed the most to fish density and biomass. Piscivores were the trophic group most affected by human factors, showing lower species richness, density, and biomass in coastal locations. In contrast, other trophic groups did not show a negative response to human factors across locations. We did not observe an effect of human and conservation factors on the total species richness of fish assemblages, regardless of whether Malpelo was included in the model or not. However, market distance negatively influenced the average fish density and biomass when all locations were included. Our results provide the first quantitative assessment of fish assemblages across the Colombian Pacific Coast, enabling future comparison and enhancing our understanding of the effects of human and conservation activities on the patterns of species richness, density, and biomass of reef fishes in the Eastern Tropical Pacific.
DOI: 10.5281/zenodo.15359237
title: Human and conservation factors affect spatial variation of reef fish assemblages in Colombian Pacific reefs

description: Human populations and conservation efforts are recognized as influential factors that can impact marine communities, but their impacts are variable and occasionally contradictory. Using an empirical database of fish assemblages compiled from 393 underwater visual censuses along the Colombian Pacific Coast, we assessed spatial variation in these assemblages and investigated whether they are influenced by human and conservation factors which have either negative (i.e., number of fishers and market distance) or positive (i.e., conservation status and Marine Protect Area age) effects on fish communities. Our study reveals that remote locations have a higher fish density and biomass than those near the coast. Additionally, we found that grunts (Haemulidae) were the most species-rich family and contributed the most to fish density and biomass. Piscivores were the trophic group most affected by human factors, showing lower species richness, density, and biomass in coastal locations. In contrast, other trophic groups did not show a negative response to human factors across locations. We did not observe an effect of human and conservation factors on the total species richness of fish assemblages, regardless of whether Malpelo was included in the model or not. However, market distance negatively influenced the average fish density and biomass when all locations were included. Our results provide the first quantitative assessment of fish assemblages across the Colombian Pacific Coast, enabling future comparison and enhancing our understanding of the effects of human and conservation activities on the patterns of species richness, density, and biomass of reef fishes in the Eastern Tropical Pacific.
DOI: 10.5281/zenodo.15426083
title: Human and conservation factors affect spatial variation of reef fish assemblages in Colombian Pacific reefs

description: Human populations and conservation efforts are recognized as influential factors that can impact marine communities, but their impacts are variable and occasionally contradictory. Using an empirical database of fish assemblages compiled from 393 underwater visual censuses along the Colombian Pacific Coast, we assessed spatial variation in these assemblages and investigated whether they are influenced by human and conservation factors which have either negative (i.e., number of fishers and market distance) or positive (i.e., conservation status and Marine Protect Area age) effects on fish communities. Our study reveals that remote locations have a higher fish density and biomass than those near the coast. Additionally, we found that grunts (Haemulidae) were the most species-rich family and contributed the most to fish density and biomass. Piscivores were the trophic group most affected by human factors, showing lower species richness, density, and biomass in coastal locations. In contrast, other trophic groups did not show a negative response to human factors across locations. We did not observe an effect of human and conservation factors on the total species richness of fish assemblages, regardless of whether Malpelo was included in the model or not. However, market distance negatively influenced the average fish density and biomass when all locations were included. Our results provide the first quantitative assessment of fish assemblages across the Colombian Pacific Coast, enabling future comparison and enhancing our understanding of the effects of human and conservation activities on the patterns of species richness, density, and biomass of reef fishes in the Eastern Tropical Pacific.
DOI: 10.15468/dl.tascbg
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 29 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000534-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7etxb5
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.42.5_1",
 "PublishingOrg is b554c320-0560-11d8-b851-b8a03c50a862",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 225 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000537-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/qyi336
title: Neuromotion Test Set

description: Test dataset of 1000 recordings generated by NeuroMotion EMG simulation package, for the MUniverse benchmark.
DOI: 10.34740/kaggle/dsv/11827404
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.am43zf
title: Occurrence Download

description: A dataset containing 14270 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Eritrichium Schrad."
 ]
}

 The dataset includes 14270 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000536-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15425863
title: Heart rate and body temperature of an individual known as "hexylena" during her PhD defense, an informal look
title: Hartslag en lichaamstemperatuur van een individu bekend als "hexylena" tijdens haar verdediging, een informele beeld

description: This dataset compiles the heart rate and body temperature as reported by a FitBit Charge 5 device (Firmware version 57.20001.194.91) of the author and data subject hexylena during the defense of her phd thesis. Several intervals are provided: sleep, cycling to the station, and a set of Netherlands-specific defense aspects such as the Zweetkamer ("sweat room", named because you're sweating in anxiety), the Lekenpraatje, and the interrogation. The times for the end of the lekenpraatje and questioning are approximate, per the authors' memory (somewhat reliable.)

These have been plotted into two graphs (hr.png and temp.png) but the datasets are provided such that you can do your own investigation. If you use this dataset for an investigation or produce a nice plot, please inform me.

I have also attempted to provide these as an ISA Tab formatted study, via ARCitect but this proved exceedingly difficult. It is not exported as an RO-Crate as my partner who is involved in ARCitect shares that it's primarily done through the CI service which would have required an excessive amount of energy investiture, even by my standards.
DOI: 10.5281/zenodo.15425864
title: Heart rate and body temperature of an individual known as "hexylena" during her PhD defense, an informal look
title: Hartslag en lichaamstemperatuur van een individu bekend als "hexylena" tijdens haar verdediging, een informele beeld

description: This dataset compiles the heart rate and body temperature as reported by a FitBit Charge 5 device (Firmware version 57.20001.194.91) of the author and data subject hexylena during the defense of her phd thesis. Several intervals are provided: sleep, cycling to the station, and a set of Netherlands-specific defense aspects such as the Zweetkamer ("sweat room", named because you're sweating in anxiety), the Lekenpraatje, and the interrogation. The times for the end of the lekenpraatje and questioning are approximate, per the authors' memory (somewhat reliable.)

These have been plotted into two graphs (hr.png and temp.png) but the datasets are provided such that you can do your own investigation. If you use this dataset for an investigation or produce a nice plot, please inform me.

I have also attempted to provide these as an ISA Tab formatted study, via ARCitect but this proved exceedingly difficult. It is not exported as an RO-Crate as my partner who is involved in ARCitect shares that it's primarily done through the CI service which would have required an excessive amount of energy investiture, even by my standards.
DOI: 10.5281/zenodo.15420441
title: Database of MoH primary care clinics with complete information on services from 2015–2023

description: This dataset compiles monthly administrative data on public primary care facilities in Mexico from January 2015 to December 2023. It integrates information on service provision (e.g., screening and outpatient visits) and human resources (medical and nursing staff) for all clinics registered in the national CLUES catalog.

To construct the final panel dataset, we harmonized multiple administrative sources from the Mexican Ministry of Health, including:





Servicios Otorgados en Unidades Médicas (monthly service data):http://www.dgis.salud.gob.mx/contenidos/basesdedatos/da_sis_gobmx.html




Recursos en Salud (annual health workforce data):http://www.dgis.salud.gob.mx/contenidos/basesdedatos/da_recursos_gobmx.html




Catálogo CLUES (facility characteristics and geolocation):http://www.dgis.salud.gob.mx/contenidos/intercambio/clues_gobmx.html



Facilities were included if they had valid CLUES codes and reported complete information for at least one year during the study period. All variables were standardized to ensure temporal consistency, and no imputation was applied—missing data are explicitly flagged. The final dataset is organized as a panel at the clinic-month level, suitable for longitudinal analyses of service trends and resource distribution.
DOI: 10.5281/zenodo.15420442
title: Database of MoH primary care clinics with complete information on services from 2015–2023

description: This dataset compiles monthly administrative data on public primary care facilities in Mexico from January 2015 to December 2023. It integrates information on service provision (e.g., screening and outpatient visits) and human resources (medical and nursing staff) for all clinics registered in the national CLUES catalog.

To construct the final panel dataset, we harmonized multiple administrative sources from the Mexican Ministry of Health, including:





Servicios Otorgados en Unidades Médicas (monthly service data):http://www.dgis.salud.gob.mx/contenidos/basesdedatos/da_sis_gobmx.html




Recursos en Salud (annual health workforce data):http://www.dgis.salud.gob.mx/contenidos/basesdedatos/da_recursos_gobmx.html




Catálogo CLUES (facility characteristics and geolocation):http://www.dgis.salud.gob.mx/contenidos/intercambio/clues_gobmx.html



Facilities were included if they had valid CLUES codes and reported complete information for at least one year during the study period. All variables were standardized to ensure temporal consistency, and no imputation was applied—missing data are explicitly flagged. The final dataset is organized as a panel at the clinic-month level, suitable for longitudinal analyses of service trends and resource distribution.
DOI: 10.6084/m9.figshare.29081894
title: <b>Dataset and R code for "</b><b>Plant functional trait dissimilarity drives plant mixture effects on fine root biomass and trait variations"</b>

description: We examined how functional dissimilarity—measured as functional dispersion in shade tolerance, drought tolerance, growth rate, and nitrogen-fixation ability—affects fine root biomass (RB), root length density (RLD), community-weighted rooting depth (WRD), and specific root length (SRL) by a global meta-analysis.
DOI: 10.5281/zenodo.15426087
title: Supplementary CSV data for model simulation

description: The uploaded dataset is a simulation from the MATLAB of our disease model.
DOI: 10.5281/zenodo.15426088
title: Supplementary CSV data for model simulation

description: The uploaded dataset is a simulation from the MATLAB of our disease model.
DOI: 10.5281/zenodo.15421290
title: LiDAR Scanners Comparison – Point Clouds

description: 3D Point Clouds, originally collected for the purpose of the article: "Getting the highest quality from a low-cost mobile scanner: comparison of several pipelines with a new scanning device.", where individual trees were detected and their diameter at breast height was evaluated by various algorithms.Dataset contains 3D point clouds from listed devices and ground truth reference data collected by standard forest inventory means.

All data are georeferenced to EPSG 5514.

Point Clouds:



Trimble TX8 (TLS) : Trimble.laz

GeoSLAM ZEB Horizon (MLS) : ZEB.laz

iPhone 14 Pro (MLS) : iPhone.laz

mapry LA03 (MLS) : LA03mapry.laz


Reference Data: GroundTruth.xlsx
DOI: 10.5281/zenodo.15421291
title: LiDAR Scanners Comparison – Point Clouds

description: 3D Point Clouds, originally collected for the purpose of the article: "Getting the highest quality from a low-cost mobile scanner: comparison of several pipelines with a new scanning device.", where individual trees were detected and their diameter at breast height was evaluated by various algorithms.Dataset contains 3D point clouds from listed devices and ground truth reference data collected by standard forest inventory means.

All data are georeferenced to EPSG 5514.

Point Clouds:



Trimble TX8 (TLS) : Trimble.laz

GeoSLAM ZEB Horizon (MLS) : ZEB.laz

iPhone 14 Pro (MLS) : iPhone.laz

mapry LA03 (MLS) : LA03mapry.laz


Reference Data: GroundTruth.xlsx
DOI: 10.7910/dvn/l9oqy7
title: MUniverse Avrillon et al 2024

description: BIDS-EMG Dataset generated for the MUniverse Benchmark
DOI: 10.71819/xitjhs
title: UFBA | Monitoramento da macrofauna bentônica dos estuários da Baía de Todos os Santos

description: Dados de monitoramento da macrofauna bentônica realizado pelo Laboratório de Ecologia Bentônica da Universidade Federal da Bahia (LEB/UFBA) ao longo de cinco estuários da Baía de Todos os Santos, BA (i.e. estuário do Rio Subaé, estuário do Rio Jaguaripe, estuário do Rio Mataripe, estuário do Rio Paraguaçu e estuário do Rio São Paulo). Os dados foram gerados com diferentes projetos de pesquisa majoritariamente financiados pelo CNPq e pela FAPESB e apoiados pela CAPES. Os dados foram gerados (coletas, processamento) por diversos bolsistas de pós-graduação e de graduação. Os trabalhos de campo contaram também com a participação de voluntários e, eventualmente, de docentes colaboradores.
DOI: 10.5281/zenodo.15426186
title: Accessibility Indicators to services at EU scale - aggregated indicators

description: This data repository makes available accessibility indicators from populated 1km EU grid to towns and cities at aggregated scales (NUTS, EU reference grid cells). It covers all Europe and is based on the outputs of data previously processed and documented in another Zenodo repository. All the data sources, data processing and general objectives are described in this resource.

A dedicated notebook and a reamde document in the root of the archive shows how this information has been aggregated at upper spatial/territorial levels, using geometric and statistical attributes associated to 1km grid cells (spatial position, population evolution, DEGURBA categories).

These outputs are more suitable for analytical purposes at NUTS level (combination to other classical socio-economic indicators) or web mapping. 

Based on the data included in this repository and the GridViz JavaScript library, a visualization tool has been developed by RIATE. It proposes in an interactive way the 33 consolidated accessibility indicators to EU towns and cities. The source code is available in this Gitlab repository.
DOI: 10.5281/zenodo.14440274
title: Accessibility Indicators to services at EU scale - aggregated indicators

description: This data repository makes available accessibility indicators from populated 1km EU grid to towns and cities at aggregated scales (NUTS, EU reference grid cells). It covers all Europe and is based on the outputs of data previously processed and documented in another Zenodo repository. All the data sources, data processing and general objectives are described in this resource.

A dedicated notebook and a reamde document in the root of the archive shows how this information has been aggregated at upper spatial/territorial levels, using geometric and statistical attributes associated to 1km grid cells (spatial position, population evolution, DEGURBA categories).

These outputs are more suitable for analytical purposes at NUTS level (combination to other classical socio-economic indicators) or web mapping.
DOI: 10.15468/dl.rstzdv
title: Occurrence Download

description: A dataset containing 157842694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lupinus oreganus A.Heller, Macaria colata (Grote, 1881), Macaria granitata Guenée, 1857, Masonhalea inermis (Nyl.) Lumbsch, Nelsen & A.Thell, Massalongia microphylliza (Nyl.) Henssen, Megaphorus willistoni (Cole, 1964), Melanelia culbersonii (Hale) A.Thell, Melanoplus spretus (Walsh, 1866), Mesodon clausus (Say, 1821), Micranthes nelsoniana var. carlottae (Calder & Savile) Gornall & H.Ohba, Mirounga angustirostris (Gill, 1866), Chordata, Mycena hudsoniana A.H.Sm., Myelochroa obsessa (Ach.) Elix & Hale, Myotis ciliolabrum (Merriam, 1886), Myotis keenii (Merriam, 1895), Myoxocephalus thompsonii (Girard, 1851), Myriolecis carlottiana (C.J.Lewis & Śliwa) Śliwa, Zhao Xin & Lumbsch, Myrmecocystus testaceus Emery, 1893, Nardia breidleri (Limpr.) Lindb., Nardia insecta Lindb., Neohelix albolabris (Say, 1817), Nephroma occultum Wetm., Nerodia sipedon sipedon, Niebla cephalota (Tuck.) Rundel & Bowler)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Country is Canada",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 32000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 157842694 records from 669 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000512-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15426072
title: HDXRank: A Deep Learning Framework for Ranking Protein complex predictions with Hydrogen Deuterium Exchange Data

description: This repository contains HDX-MS data sourced from public databases MassIVE and PRIDE. The data were utilized to train our HDXRank model, which is designed to rank protein complex predictions based on their alignment with experimental HDX data. HDXRank original code is available at: https://github.com/tsudalab/HDXRank.git
DOI: 10.5281/zenodo.14625491
title: HDXRank: A Deep Learning Framework for Ranking Protein complex predictions with Hydrogen Deuterium Exchange Data

description: This repository contains HDX-MS data sourced from public databases MassIVE and PRIDE. The data were utilized to train our HDXRank model, which is designed to rank protein complex predictions based on their alignment with experimental HDX data. HDXRank original code is available at: https://github.com/tsudalab/HDXRank.git
DOI: 10.5281/zenodo.14625492
title: HDXRank: A Deep Learning Framework for Ranking Protein complex predictions with Hydrogen Deuterium Exchange Data

description: This repository contains HDX-MS data sourced from public databases MassIVE and PRIDE. The data were utilized to train our HDXRank model, which is designed to rank protein complex predictions based on their alignment with experimental HDX data. HDXRank original code is available at: https://github.com/tsudalab/HDXRank.git