cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u3ye4c
title: Occurrence Download

description: A dataset containing 21 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'GA'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2480391 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2480391 OR CAST(occurrence.kingdomkey AS INTEGER) = 2480391 OR CAST(occurrence.phylumkey AS INTEGER) = 2480391 OR CAST(occurrence.classkey AS INTEGER) = 2480391 OR CAST(occurrence.orderkey AS INTEGER) = 2480391 OR CAST(occurrence.familykey AS INTEGER) = 2480391 OR CAST(occurrence.genuskey AS INTEGER) = 2480391 OR CAST(occurrence.specieskey AS INTEGER) = 2480391)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
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"

 The dataset's 21 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044551-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.579vyq
title: Occurrence Download

description: A dataset containing 7916 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adoxophyes orana"
 ]
}

 The dataset includes 7916 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044572-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/rj6j87
title: ICES Biodiversity - Cetaceans (JCDP)

description: Cetaceans (whales, dolphins, and porpoises) data to understand their abundance and distribution
​​​​This portal assembles at-sea effort-related data collected via ship-based or aerial methods, collated under the Joint Cetacean Database Programme (JCDP).

The JCDP aims to streamline the process of accessing and utilising these data by collating the existing and forthcoming cetacean evidence base into a single resource. These data have a wide range of applications and have the potential to support analyses at a range of spatial and temporal scales.
DOI: 10.15468/dl.n8nweq
title: Occurrence Download

description: A dataset containing 4627 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryx gazella",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 4627 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044575-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/b6fv8c
title: HMAP Dataset 01: SE Australian Trawl Fishery I: Fish (various) landings and fishing effort, South East Australia, 1918-1923

description: HMAP Dataset 01: SE Australian Trawl Fishery I: Fish (various) landings and fishing effort, South East Australia, 1918-1923
DOI: 10.15468/dl.4ujccy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((98.065 2.909175, 97.994647 2.903606, 97.926029 2.887036, 97.86083600000001 2.859874, 97.800675 2.82279, 97.747028 2.776697, 97.701217 2.72273, 97.66436899999999 2.662221, 97.63739 2.59666, 97.620943 2.527661, 97.615432 2.456924, 97.62099000000001 2.386191, 97.637479 2.317202, 97.664491 2.251657, 97.70136100000001 2.191169, 97.74718 2.137226, 97.800819 2.091156, 97.860958 2.054092, 97.926118 2.026947, 97.994694 2.010387, 98.065 2.004822, 98.135306 2.010387, 98.20388199999999 2.026947, 98.269042 2.054092, 98.32918100000001 2.091156, 98.38282 2.137226, 98.428639 2.191169, 98.465509 2.251657, 98.492521 2.317202, 98.50901 2.386191, 98.514568 2.456924, 98.509057 2.527661, 98.49261 2.59666, 98.465631 2.662221, 98.428783 2.72273, 98.382972 2.776697, 98.329325 2.82279, 98.269164 2.859874, 98.203971 2.887036, 98.13535299999999 2.903606, 98.065 2.909175))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044576-251120083545085/datasets/export for details.
DOI: 10.15468/dl.ghgr28
title: Occurrence Download

description: A dataset containing 12377 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "CoordinateUncertaintyInMeters 0.0-3049.0",
 "Country is Australia",
 "TaxonKey is Dysphania",
 "Year 2000-2025"
 ]
}

 The dataset includes 12377 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044577-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5cpyv
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Neltuma affinis"
 ]
}

 The dataset includes 196 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044579-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14473/csda/i8ujed
title: Digital health in the aftermath of COVID-2019

description: The project aimed at studying the use and attitudes of individuals to digital health services in the aftermath of COVID-19 and in assessing potential information treatment to support the use of such services.
description: Data available upon request.
DOI: 10.15468/dl.z9kh7b
title: Occurrence Download

description: A dataset containing 616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry MULTIPOLYGON (((-3.636307 39.61754, -3.632044 39.61846, -3.631298 39.61848, -3.631297 39.61834, -3.630244 39.61835, -3.629979 39.61835, -3.629448 39.61835, -3.627416 39.61844, -3.62664 39.61849, -3.626245 39.61852, -3.62567 39.61857, -3.619467 39.61971, -3.613897 39.62211, -3.609376 39.62559, -3.608596 39.62638, -3.608516 39.62646, -3.608475 39.6265, -3.608343 39.62663, -3.606052 39.62936, -3.605884 39.62961, -3.605126 39.63083, -3.605087 39.6309, -3.604381 39.63232, -3.604319 39.63246, -3.604276 39.63256, -3.604076 39.63326, -3.60378 39.63383, -3.603778 39.63384, -3.603771 39.63386, -3.603716 39.63397, -3.603606 39.63422, -3.603587 39.63426, -3.603564 39.63432, -3.603125 39.63563, -3.602948 39.63601, -3.602751 39.63644, -3.602718 39.63652, -3.602614 39.63676, -3.602415 39.63723, -3.602247 39.63766, -3.601266 39.6418, -3.601249 39.64201, -3.601215 39.64324, -3.601204 39.64324, -3.601203 39.64355, -3.601208 39.64361, -3.601209 39.64365, -3.601211 39.64365, -3.601381 39.6458, -3.601399 39.64592, -3.604075 39.65233, -3.609615 39.65754, -3.610069 39.65783, -3.615906 39.66058, -3.616767 39.66075, -3.617152 39.66095, -3.617809 39.66129, -3.618371 39.66156, -3.620624 39.66225, -3.627901 39.66615, -3.62803 39.66619, -3.637441 39.66766, -3.637521 39.66766, -3.642818 39.66715, -3.642914 39.66713, -3.6496 39.66499, -3.655112 39.66136, -3.655206 39.66128, -3.655722 39.66079, -3.65601 39.66065, -3.656472 39.66041, -3.661606 39.65673, -3.665095 39.65204, -3.666626 39.64676, -3.66606 39.64136, -3.664871 39.63908, -3.665229 39.63498, -3.663526 39.62961, -3.659798 39.62489, -3.654397 39.62127, -3.651293 39.62024, -3.650173 39.61958, -3.643444 39.61772, -3.636307 39.61754)))"
 ]
}

 The dataset includes 616 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044580-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17879427
title: Dataset of paper "Nanostructured ZnO coatings as antiviral surfaces: Influence of synthesis methodology on photocatalytic efficiency"

description: Dataset of paper "Nanostructured ZnO coatings as antiviral surfaces: Influence of synthesis methodology on photocatalytic efficiency"
DOI: 10.5281/zenodo.17879428
title: Dataset of paper "Nanostructured ZnO coatings as antiviral surfaces: Influence of synthesis methodology on photocatalytic efficiency"

description: Dataset of paper "Nanostructured ZnO coatings as antiviral surfaces: Influence of synthesis methodology on photocatalytic efficiency"
DOI: 10.24435/materialscloud:9g-5a
title: Probing high-energy electronic excitations in the Shastry-Sutherland compound SrCu2(BO3)2 with resonant inelastic x-ray scattering and optical spectroscopy

description: The Shastry-Sutherland compound SrCu2(BO3)2 (SCBO) is a paradigmatic low-dimensional quantum spin system, featuring geometrically frustrated interacting spin dimers and a rich landscape of emergent quantum phenomena. While its magnetic properties have been extensively explored, the nature of its electronic excitations - particularly the Cu2+ d–d transitions - remains poorly understood. A detailed characterization of these excitations is essential to determine the crystal field splitting and the degree of Cu 3d–O 2p hybridization, both of which underpin superexchange interactions and magnetic behavior in SCBO. Here, the electronic properties of SCBO are investigated by combining spectroscopic techniques with theoretical approaches for first-principles band structure calculations.Experimentally, we employ L3-edge resonant inelastic x‑ray scattering (RIXS) to directly probe intra-d excitations, supplemented by broadband infrared reflectivity and ellipsometry measurements to resolve charge-transfer (CT) features. Theoretically, multireference quantum chemistry calculations accurately reproduce the energies (1.8–2.4 eV) and symmetries of the observed d–d excitations, while band-structure calculations based on density functional theory elucidate the CT excitation spectrum. These combined approaches define the energy scales for both d–d and CT transitions, validate the computational framework, and provide quantitative microscopic parameters essential for refining superexchange-based magnetic models in this prototypical frustrated quantum antiferromagnet.
DOI: 10.24435/materialscloud:b5-0t
title: Probing high-energy electronic excitations in the Shastry-Sutherland compound SrCu2(BO3)2 with resonant inelastic x-ray scattering and optical spectroscopy

description: The Shastry-Sutherland compound SrCu2(BO3)2 (SCBO) is a paradigmatic low-dimensional quantum spin system, featuring geometrically frustrated interacting spin dimers and a rich landscape of emergent quantum phenomena. While its magnetic properties have been extensively explored, the nature of its electronic excitations - particularly the Cu2+ d–d transitions - remains poorly understood. A detailed characterization of these excitations is essential to determine the crystal field splitting and the degree of Cu 3d–O 2p hybridization, both of which underpin superexchange interactions and magnetic behavior in SCBO. Here, the electronic properties of SCBO are investigated by combining spectroscopic techniques with theoretical approaches for first-principles band structure calculations.Experimentally, we employ L3-edge resonant inelastic x‑ray scattering (RIXS) to directly probe intra-d excitations, supplemented by broadband infrared reflectivity and ellipsometry measurements to resolve charge-transfer (CT) features. Theoretically, multireference quantum chemistry calculations accurately reproduce the energies (1.8–2.4 eV) and symmetries of the observed d–d excitations, while band-structure calculations based on density functional theory elucidate the CT excitation spectrum. These combined approaches define the energy scales for both d–d and CT transitions, validate the computational framework, and provide quantitative microscopic parameters essential for refining superexchange-based magnetic models in this prototypical frustrated quantum antiferromagnet.
DOI: 10.15468/dl.sjtrn8
title: Occurrence Download

description: A dataset containing 45115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Estrilda astrild"
 ]
}

 The dataset includes 45115 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044582-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t2ka6s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.161 2.909175, 100.090647 2.903606, 100.022029 2.887036, 99.956836 2.859874, 99.896675 2.82279, 99.843028 2.776697, 99.797217 2.72273, 99.760369 2.662221, 99.73339 2.59666, 99.716943 2.527661, 99.711432 2.456924, 99.71699 2.386191, 99.733479 2.317202, 99.760491 2.251657, 99.797361 2.191169, 99.84318 2.137226, 99.89681899999999 2.091156, 99.956958 2.054092, 100.022118 2.026947, 100.090694 2.010387, 100.161 2.004822, 100.231306 2.010387, 100.299882 2.026947, 100.365042 2.054092, 100.425181 2.091156, 100.47882 2.137226, 100.524639 2.191169, 100.561509 2.251657, 100.588521 2.317202, 100.60501 2.386191, 100.610568 2.456924, 100.605057 2.527661, 100.58861 2.59666, 100.561631 2.662221, 100.524783 2.72273, 100.478972 2.776697, 100.425325 2.82279, 100.365164 2.859874, 100.299971 2.887036, 100.231353 2.903606, 100.161 2.909175))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044583-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17874775
title: R Code and Data for the Repeated Acute Exposure (RAE) Design: A Novel Framework for Environmental Epidemiology

description: This repository contains the R implementation and the necessary data to reproduce the Repeated Acute Exposure (RAE) design, a novel methodological framework introduced to reinforce the causal assessment of short-term environmental exposures.

Methodological Overview: The RAE design shifts the analytical paradigm from traditional count-based regression (e.g., Poisson GAM) to a survival analysis framework. By re-conceptualizing the short-term exposure accumulation window (e.g., Lag 0-6 days) as the time variable in a Cox Mixed Effects (CoxME) model, this method allows for the estimation of hazard ratios using the Partial Likelihood framework. This approach serves as a powerful triangulation tool to validate the stability of associations found by standard time-series designs.

Key Features:

Paradigm Shift: Treats exposure duration as survival time rather than a fixed lag covariate.

Heterogeneity Control: Incorporates a Gaussian shared frailty term to explicitly model unobserved day-specific heterogeneity.

Reproducibility: Full code provided to replicate the analysis presented in the associated manuscript.

Files Included:

Rscript.txt: The complete R script that applies the RAE procedure. It includes steps for data transformation, model fitting, testing the Proportional Hazards assumption, and calculating summary Hazard Ratios.

valencia.csv: The dataset used for the case study, containing daily all-cause mortality, PM10 concentrations, temperature, and relative humidity for Valencia, Spain. This is an open-access public dataset published by Iñíguez et al. (2022). It is included here to ensure the full reproducibility of the results.

Data Citation: The valencia.csv dataset is sourced from:

Iñíguez, C., Ballester, F., & Tobías, A. (2022). Data supporting the short-term health effects of particles and mortality in 48 Spanish cities. Data in Brief, 42, 108144. DOI: 10.1016/j.dib.2022.108144
DOI: 10.5281/zenodo.17874776
title: R Code and Data for the Repeated Acute Exposure (RAE) Design: A Novel Framework for Environmental Epidemiology

description: This repository contains the R implementation and the necessary data to reproduce the Repeated Acute Exposure (RAE) design, a novel methodological framework introduced to reinforce the causal assessment of short-term environmental exposures.

Methodological Overview: The RAE design shifts the analytical paradigm from traditional count-based regression (e.g., Poisson GAM) to a survival analysis framework. By re-conceptualizing the short-term exposure accumulation window (e.g., Lag 0-6 days) as the time variable in a Cox Mixed Effects (CoxME) model, this method allows for the estimation of hazard ratios using the Partial Likelihood framework. This approach serves as a powerful triangulation tool to validate the stability of associations found by standard time-series designs.

Key Features:

Paradigm Shift: Treats exposure duration as survival time rather than a fixed lag covariate.

Heterogeneity Control: Incorporates a Gaussian shared frailty term to explicitly model unobserved day-specific heterogeneity.

Reproducibility: Full code provided to replicate the analysis presented in the associated manuscript.

Files Included:

Rscript.txt: The complete R script that applies the RAE procedure. It includes steps for data transformation, model fitting, testing the Proportional Hazards assumption, and calculating summary Hazard Ratios.

valencia.csv: The dataset used for the case study, containing daily all-cause mortality, PM10 concentrations, temperature, and relative humidity for Valencia, Spain. This is an open-access public dataset published by Iñíguez et al. (2022). It is included here to ensure the full reproducibility of the results.

Data Citation: The valencia.csv dataset is sourced from:

Iñíguez, C., Ballester, F., & Tobías, A. (2022). Data supporting the short-term health effects of particles and mortality in 48 Spanish cities. Data in Brief, 42, 108144. DOI: 10.1016/j.dib.2022.108144
DOI: 10.5281/zenodo.17723060
title: Supporting Data and Analysis Pipeline for the OA Glutamine Metabolism Study

description: This repository contains the datasets, analysis scripts, and supplementary materials associated with the study titled “Identification and validation of a glutamine metabolism-related gene signature as a diagnostic and therapeutic target in osteoarthritis through integrated multi-omics analysis”.

The study presents a multi-tissue, multi-omics investigation integrating GEO transcriptomic datasets from cartilage, synovium, subchondral bone, and peripheral blood to explore the role of glutamine metabolism in osteoarthritis (OA). Using a machine learning pipeline combining WGCNA and LASSO regression, we identified a core three-gene glutamine metabolism–related signature (F13A1, IRS2, RELA). The diagnostic performance of this signature was validated in an independent cohort (31 OA patients and 31 controls) using RT-qPCR and plasma metabolomics.

This repository provides the processed data, scripts used for computational analyses, and supplementary files required to reproduce the results presented in the manuscript.
DOI: 10.5281/zenodo.17723061
title: Supporting Data and Analysis Pipeline for the OA Glutamine Metabolism Study

description: This repository contains the datasets, analysis scripts, and supplementary materials associated with the study titled “Identification and validation of a glutamine metabolism-related gene signature as a diagnostic and therapeutic target in osteoarthritis through integrated multi-omics analysis”.

The study presents a multi-tissue, multi-omics investigation integrating GEO transcriptomic datasets from cartilage, synovium, subchondral bone, and peripheral blood to explore the role of glutamine metabolism in osteoarthritis (OA). Using a machine learning pipeline combining WGCNA and LASSO regression, we identified a core three-gene glutamine metabolism–related signature (F13A1, IRS2, RELA). The diagnostic performance of this signature was validated in an independent cohort (31 OA patients and 31 controls) using RT-qPCR and plasma metabolomics.

This repository provides the processed data, scripts used for computational analyses, and supplementary files required to reproduce the results presented in the manuscript.
DOI: 10.15468/dl.8yvdz5
title: Occurrence Download

description: A dataset containing 8128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Jersey)",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8128 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044585-251120083545085/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.30849284.v1
title: Nematostella vs Zebrafish and Amphioxus vs Nematostella BLAST

description: maps.prot folders with nv-dr, dr-nv, bf-nv, and nv-bf BLAST maps
DOI: 10.6084/m9.figshare.30849284
title: Nematostella vs Zebrafish and Amphioxus vs Nematostella BLAST

description: maps.prot folders with nv-dr, dr-nv, bf-nv, and nv-bf BLAST maps
DOI: 10.15468/dl.cmpav4
title: Occurrence Download

description: A dataset containing 8128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Jersey)",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8128 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044586-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17879413
title: Test