cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30197557.v1
title: <b>LPCAT3 protects against acinar cell ferroptosis in acute pancreatitis</b>

description: <b>Abstract</b>Acute pancreatitis (AP) is a severe digestive disorder characterized by the abnormal activation of pancreatic enzymes, leading to pancreatic autodigestion. The incidence of AP is rising globally, with severe cases associated with high mortality rates. The pathogenesis of AP has been implicated in ferroptosis. Our study aimed to understand the role of lysophosphatidylcholine acyltransferase 3 (LPCAT3) in regulating ferroptosis in AP. We constructed a rat model and an AP cell model. LPCAT3 expression and function were assessed using immunohistochemistry, hematoxylin and eosin staining, and Western blot analysis. The effects of LPCAT3 overexpression and knockdown were investigated using viral vectors.LPCAT3 expression was significantly downregulated in AP models. Overexpression of LPCAT3 in vitro reduced markers of ferroptosis and inflammation, indicating a protective role against AP. Conversely, LPCAT3 knockdown exacerbated ferroptosis and inflammation, indicating the promising impact of LPCAT3 in inhibiting these processes.LPCAT3 was found to play a critical role in regulating ferroptosis in AP, presenting a promising therapeutic target. Overall, this work provides new insights into the molecular mechanisms underlying AP and highlights the potential of LPCAT3 in developing strategies to alleviate disease severity.
DOI: 10.15468/dl.vnuz49
title: Occurrence Download

description: A dataset containing 19538 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 countrycode countrycode,
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, countrycode, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, countrycode, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, countrycode, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, countrycode, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, countrycode, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, countrycode, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord IN ('HUMAN_OBSERVATION', 'PRESERVED_SPECIMEN')
 AND occurrence.countrycode = 'CY'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2024)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL AND occurrence.hascoordinate = TRUE)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year",
 occurrence.countrycode

 The dataset's 19538 records were derived from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023224-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7y34bp
title: Occurrence Download

description: A dataset listing the 342 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((2.01576 49.59529,2.05163 49.59529,2.05163 49.6135,2.01576 49.6135,2.01576 49.59529))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 342 records were derived from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023231-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bezpn2
title: Occurrence Download

description: A dataset containing 1177638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Festuca rubra"
 ]
}

 The dataset includes 1177638 records from 2400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023157-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fz89md
title: Occurrence Download

description: A dataset containing 25542 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Acer saccharum Marshall"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 24.1271113347408",
 "DecimalLatitude is less than or equal to 56.572699215132005",
 "DecimalLongitude is greater than or equal to -89.31544323258166",
 "DecimalLongitude is less than or equal to -51.73636965516586",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 25542 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069082-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60879/ufg/cbyhj5
title: Forma����o sobre ci��ncia aberta para p��s-graduandos e editores de peri��dicos cient��ficos
title: Training on open science for graduate students and scientific journal editors

description: Tratam-se de dados gerados e coletados durante a pesquisa de doutoramento, que incluem an��lise das 50 fichas de avalia����o das ��reas da Coordena����o de Aperfei��oamento de Pessoal de N��vel Superior (CAPES), quanto �� men����o �� iniciativas de ci��ncia aberta. Correla����o das ��reas de avalia����o da CAPES com os Programas de P��s-Gradua����o da Universidade Federal de Goi��s; Dados coletados por meio dos question��rios aplicados a p��s-graduandos e editores de peri��dicos cient��ficos da UFG; Ementa elaborada para interven����o formativa; Anota����es de campo sobre a forma����o; Materiais de divulga����o; entre outros que sejam gerados durante a pesquisa.
description: O projeto "Pr��ticas cient��ficas e comunica����o de seus resultados: sentidos, resist��ncias e possibilidades de aplica����o da Ci��ncia Aberta na UFG", objetiva compreender os sentidos, pr��ticas e resist��ncias atribu��dos �� ci��ncia aberta por p��s-graduandos e editores da Universidade Federal de Goi��s no desenvolvimento e comunica����o das pesquisas, analisando como interven����es formativas, fundamentadas nos princ��pios da integridade acad��mica, da comunica����o e da divulga����o cient��fica, podem possibilitar a ressignifica����o dessas concep����es. Metodologicamente �� uma pesquisa social aplicada que, quanto aos objetivos, �� explorat��ria-interpretativo e, quanto aos procedimentos, �� um estudo interventivo, com o desenvolvimento de uma forma����o sobre ci��ncia aberta, dirigida a p��s-graduandos e editores de peri��dicos cient��ficos da universidade. Os dados ser��o coletados por meio da aplica����o de question��rios antes e ap��s a interven����o formativa e registros (anota����es de campo) da pr��pria forma����o. Os dados provenientes das respostas dos question��rios ser��o analisados por meio de instrumentos descritivos e diagn��sticos e as anota����es sobre a forma����o por meio da an��lise tem��tica. Espera-se que o estudo ofere��a uma compreens��o aprofundada das condi����es simb��licas, institucionais e culturais que moldam as pr��ticas do fazer e do comunicar a ci��ncia em diferentes ��reas do conhecimento da institui����o, al��m de evidenciar como a ci��ncia aberta �� percebida, apropriada e resistida e como ela �� ressignificada ap��s a interven����o formativa.
DOI: 10.15468/dl.42wcg3
title: Occurrence Download

description: A dataset listing the 91 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.23_2",
 "TaxonKey is Amphibia"
 ]
}

 The dataset's 91 records were derived from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069079-250525065834625/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.29407541
title: dados_artigo_reeusp.xlsx

description: Preditores de mortalidade e terapia de suporte renal em pacientes com injúria renal aguda em UTI: coorte prospectiva. Objetivo: Comparar a mortalidade entre adultos criticamente enfermos com injúria renal aguda (IRA) tratados com terapia de suporte renal (TSR) contínua, intermitente ou transitória, e identificar os principais preditores de mortalidade. Método: Coorte prospectiva realizada em duas unidades de terapia intensiva do Distrito Federal, Brasil, com 200 pacientes com IRA segundo KDIGO de 2022 a 2024. Foram analisadas variáveis clínicas, laboratoriais, classificação da IRA, modalidade de TSR empregada. A mortalidade foi avaliada em três períodos (20, 30 e 106 dias). Utilizaram-se de análise de regressão logística binária para identificação de preditores independentes para mortalidade e curvas Kaplan-Meier para análise de sobrevida. Resultados: A mortalidade foi mais elevada entre os pacientes submetidos à TSR, especialmente nas modalidades contínua e transitória, com destaque para o grupo transitório aos 106 dias. Ventilação mecânica (OR=7,02), uso de drogas vasoativas (OR=4,31), necessidade de terapia de suporte renal (OR=3,42) e idade avançada (OR=1,03) foram identificados como preditores independentes de mortalidade na análise multivariada. Conclusão: A necessidade de TSR em pacientes críticos com IRA esteve associada a maior mortalidade, reforçando a importância da identificação precoce de fatores de risco para subsidiar decisões clínicas e otimizar o manejo em terapia intensiva.
DOI: 10.6084/m9.figshare.29407541.v1
title: dados_artigo_reeusp.xlsx

description: Preditores de mortalidade e terapia de suporte renal em pacientes com injúria renal aguda em UTI: coorte prospectiva. Objetivo: Comparar a mortalidade entre adultos criticamente enfermos com injúria renal aguda (IRA) tratados com terapia de suporte renal (TSR) contínua, intermitente ou transitória, e identificar os principais preditores de mortalidade. Método: Coorte prospectiva realizada em duas unidades de terapia intensiva do Distrito Federal, Brasil, com 200 pacientes com IRA segundo KDIGO de 2022 a 2024. Foram analisadas variáveis clínicas, laboratoriais, classificação da IRA, modalidade de TSR empregada. A mortalidade foi avaliada em três períodos (20, 30 e 106 dias). Utilizaram-se de análise de regressão logística binária para identificação de preditores independentes para mortalidade e curvas Kaplan-Meier para análise de sobrevida. Resultados: A mortalidade foi mais elevada entre os pacientes submetidos à TSR, especialmente nas modalidades contínua e transitória, com destaque para o grupo transitório aos 106 dias. Ventilação mecânica (OR=7,02), uso de drogas vasoativas (OR=4,31), necessidade de terapia de suporte renal (OR=3,42) e idade avançada (OR=1,03) foram identificados como preditores independentes de mortalidade na análise multivariada. Conclusão: A necessidade de TSR em pacientes críticos com IRA esteve associada a maior mortalidade, reforçando a importância da identificação precoce de fatores de risco para subsidiar decisões clínicas e otimizar o manejo em terapia intensiva.
DOI: 10.5281/zenodo.15010622
title: Input files and supplement videos for Wirp et al. 2025

description: This directory contains supplementary videos and input files for SeisSol (https://github.com/SeisSol/SeisSol) and GeoClaw (https://github.com/clawpack/geoclaw):
The videos S1, S2, S3, S4, and S5 show the sea surface height anomaly (ssha) of the one-way linked tsuami simulations with GeoClaw sourced by the static seafloor displacement resulting from the DR simulations of model HE, HM, HW, HEP, and HEA..The videos S6 and S7 show the sea surface height anomaly (ssha) and sea surface vertical velocity (ssvv) of tsunami generation phase of the fully coupled DR-tsunami model.


The "parameter.par" file sets the friction law and define the output format of the fully coupled model. They call the ".yaml" files which define the domain specific model parameters.
The "material.yaml" file defines the material characteristics and call the "1D-vel.yaml", which describes the 1D velocity structure.
The "fault.yaml" file defines the rupture related parameters, as nucleation area, the static and dynamic friction coefficients, the cohesion and the critical slip distance.
The "initial_stress.yaml" file defines the 3D stress state.
The mesh is provided to facilitate visualization.The "*_tanikoa.tt3" files are the tsunami input files that contain the vertical seafloor displacement after applying the Tanioka filter resulting from the DR simulations.For the conversion of the SeisSol output to GeoClaw, we adapt steps of Ulrich et al. (2021).
DOI: 10.5281/zenodo.15010623
title: Input files and supplement videos for Wirp et al. 2025

description: This directory contains supplementary videos and input files for SeisSol (https://github.com/SeisSol/SeisSol) and GeoClaw (https://github.com/clawpack/geoclaw):
The videos S1, S2, S3, S4, and S5 show the sea surface height anomaly (ssha) of the one-way linked tsuami simulations with GeoClaw sourced by the static seafloor displacement resulting from the DR simulations of model HE, HM, HW, HEP, and HEA..The videos S6 and S7 show the sea surface height anomaly (ssha) and sea surface vertical velocity (ssvv) of tsunami generation phase of the fully coupled DR-tsunami model.


The "parameter.par" file sets the friction law and define the output format of the fully coupled model. They call the ".yaml" files which define the domain specific model parameters.
The "material.yaml" file defines the material characteristics and call the "1D-vel.yaml", which describes the 1D velocity structure.
The "fault.yaml" file defines the rupture related parameters, as nucleation area, the static and dynamic friction coefficients, the cohesion and the critical slip distance.
The "initial_stress.yaml" file defines the 3D stress state.
The mesh is provided to facilitate visualization.The "*_tanikoa.tt3" files are the tsunami input files that contain the vertical seafloor displacement after applying the Tanioka filter resulting from the DR simulations.For the conversion of the SeisSol output to GeoClaw, we adapt steps of Ulrich et al. (2021).
DOI: 10.6073/pasta/659aee770c914ef8c219e8c3669f8be0
title: Transects of the Rowley River, Plum Island Sound Estuary, Massachusetts conducted at dawn and dusk, containing dissolved oxygen, conductivity, temperature, percent saturation, pH, DIC and pCO2 data, PIE LTER.

description: Multi-year transects, beginning in 2016, of the Rowley River Plum Island Sound Estuary, MA conducted at dawn and dusk, containing dissolved oxygen, conductivity, temperature, percent saturation, pH, DIC and pCO2 measurements. Differences between dawn and dusk measurements can be used to determine the water column metabolism and corresponding estimates of gross primary production, total system respiration and net ecosystem production.
DOI: 10.15468/dl.6435a2
title: Occurrence Download

description: A dataset listing the 9235 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.23_2"
 ]
}

 The dataset's 9235 records were derived from 311 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069081-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szzpfx
title: Occurrence Download

description: A dataset containing 196151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.79803 -16.55742,-71.19185 -18.72531,-70.732 -18.3352,-70.36896 -17.55235,-69.32825 -16.92824,-71.57909 -15.254,-73.51529 -15.30069,-74.79803 -16.55742))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 196151 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069078-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b72ram
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.98157 -17.98629,-70.01347 -17.29436,-70.01347 -16.29806,-72.94198 -14.68883,-74.0311 -14.87604,-74.49095 -15.64656,-70.98157 -17.98629))",
 "HasGeospatialIssue is false",
 "TaxonKey is Phyllotis limatus Thomas, 1912"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069084-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7vfg2
title: Occurrence Download

description: A dataset containing 50121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.22.14_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 50121 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069080-250525065834625/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/12284333
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.7266/e1719891
title: Ecological and Economic Impacts of Land Use and Climate Change on Coastal Food Webs and Fisheries project SWAT-MODFLOW model of the Suwannee River
DOI: 10.5281/zenodo.15295866
title: Data for: Climate change redefines sea turtle hotspots: vessel strike risks and gaps in protected areas

description: The data was used to perform species distribution models of the seven sea turtle species in order to predict their current and future sea distribution. This effort was done to assess the impacts of climate change, the risks of vessel strikes and potential marine protected areas gaps.

Please don't forget to cite both this Zenodo repository and the main paper. Thank you so much!



Duquesne, E., & Fournier, D. (2025). Climate change redefines sea turtle hotspots: Vessel strike risks and gaps in protected areas. Science Advances, 11(26), eadw4495. https://doi.org/10.1126/sciadv.adw4495


If you have any questions, feel free to email me at edouard.duquesne@ulb.be

Files information available in README.txt
DOI: 10.5281/zenodo.15741579
title: Hubmap FRmatch test
DOI: 10.5281/zenodo.15741580
title: Hubmap FRmatch test
DOI: 10.5281/zenodo.15295865
title: Data for: Climate change redefines sea turtle hotspots: vessel strike risks and gaps in protected areas

description: The data was used to perform species distribution models of the seven sea turtle species in order to predict their current and future sea distribution. This effort was done to assess the impacts of climate change, the risks of vessel strikes and potential marine protected areas gaps.

Please don't forget to cite both this Zenodo repository and the main paper. Thank you so much!



Duquesne, E., & Fournier, D. (2025). Climate change redefines sea turtle hotspots: Vessel strike risks and gaps in protected areas. Science Advances, 11(26), eadw4495. https://doi.org/10.1126/sciadv.adw4495


If you have any questions, feel free to email me at edouard.duquesne@ulb.be

Files information available in README.txt
DOI: 10.15468/dl.5ndwbw
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Liberia",
 "TaxonKey is Marchantiophyta"
 ]
}

 The dataset includes 56 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069085-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15733690
title: BASE-9 binarity and stellar masses from Gaia DR3, 2MASS, and Pan-STARRS data for 35 open clusters

description: Datasets from "Stellar Dynamics in Open Clusters Increases the Binary Fraction and Mass Ratios: Evidence from Photometric Binaries in 35 Open Clusters", Childs & Geller 2025, ApJ
DOI: 10.5281/zenodo.15733691
title: BASE-9 binarity and stellar masses from Gaia DR3, 2MASS, and Pan-STARRS data for 35 open clusters

description: Datasets from "Stellar Dynamics in Open Clusters Increases the Binary Fraction and Mass Ratios: Evidence from Photometric Binaries in 35 Open Clusters", Childs & Geller 2025, ApJ
DOI: 10.6084/m9.figshare.29360936.v3
title: Data-driven assessment of Apulian road network resilience: bridge unavailability and inner municipality isolation impact

description: Road networks are essential for resource movement, passenger transit, and supply chains. In seismically active areas like Italy, earthquakes can compromise road infrastructure, leading to structural failures and connectivity disruptions. Bridges, vital for travel and emergency response, are especially vulnerable to these extreme events, making their maintenance and recovery crucial for preserving transport efficiency. This study examines the resilience of the Apulian road network against bridge failures. By assessing seismic hazards, the structural vulnerability of each bridge to seismic actions, and the systemic consequences of its failure. A bridge criticality score is defined to support data-driven decision-making for bridge maintenance and recovery. This quantitative metric integrates seismic hazard data at each bridge site, fragility curves, and complex network analysis to provide a comprehensive evaluation of bridge criticality. Additionally, the risk of isolation for inner areas due to bridge disruptions is assessed using graph theory centrality metrics. By combining the bridge criticality score with an emphasis on inner regions, this approach offers valuable insights to improve road network resilience, mitigate isolation risks, and promote territorial sustainability in earthquake-prone zones.
DOI: 10.21227/yvs8-vx77
title: "Cross-View User Identification"

description: "Vision-aided systems must identify and track multiple communication users among distractors in crowded environments to enable precise beam\/resource allocation for each target user. In this regard, a user identification method for UAV-to-vehicle networks utilizes multimodal sensor data (vehicle compass, UAV\/vehicle-view images) fed into a non-shared-weights Siamese neural network to identify the target vehicle among non-transmitting\/non-receiving ones. This dataset is used to train this model for bridging the gap between ground and aerial views, thereby matching radio and visual domains. "