cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15125/bath-01633
title: Dataset for "Assessing the susceptibility to mould growth of mycelium-based composite insulation"

description: This dataset contains the raw experimental results generated in the characterisation of mycelium-based composite (MBC) insulation materials. It includes primary measurement data for laboratory-produced specimens (MBC A) and two commercially sourced materials (MBC B and MBC C), covering thermal conductivity measurements, liquid water absorption by immersion, surface wettability (contact angle) measurements, and mould susceptibility assessments. The mould dataset includes individual specimen ratings after 28 days of incubation across five temperature and relative humidity conditions, as well as ratings after subsequent liquid-water exposure. All files report unprocessed specimen-level results used to generate the figures and statistical summaries in the associated publication.
description: This dataset was generated through a series of controlled laboratory experiments on mycelium-based composite (MBC) insulation materials, including one material produced at laboratory scale and two commercially sourced products. Laboratory specimens were manufactured using a hemp-shiv substrate inoculated with Ganoderma curtisii, grown under controlled incubation conditions, and oven-dried prior to testing. 

The dataset includes raw results from four test methods. Thermal conductivity was measured using a heat flow meter in accordance with ASTM C518, with five repeat measurements performed on each of five specimens per material type. Liquid water absorption was measured by full immersion following ASTM C1763, using five specimens per material type, with mass recorded before and after 2 h immersion to calculate percentage mass increase. Surface wettability was assessed using sessile-drop contact angle measurements with deionised water following the principles of ISO 19403-2; three specimens per material were tested with three measurements per specimen.

Mould susceptibility testing was conducted with reference to BS EN 17886 using a mixed spore suspension containing six fungal species (Aspergillus niger, Trichoderma viride, Talaromyces pinophilus, Chaetomium globosum, Paecilomyces variotii, and Aspergillus versicolor). Specimens were inoculated at a defined spore density and incubated for 28 days in an environmental chamber under five controlled temperature and relative humidity conditions (80–90% RH and 25–30 °C). After incubation, mould growth was assessed visually and microscopically using a standardised 0-3 rating scale. Specimens that did not show visible growth were subsequently wetted with sterile water and returned to the same environmental conditions for a further 14 days, after which mould growth was re-assessed.

All files in the dataset contain specimen-level, unprocessed measurements and ratings recorded directly during these experiments, which were used to generate the figures, statistics, and mould risk charts reported in the associated publication.
DOI: 10.17028/rd.lboro.31078873
title: Supplementary information files for "Conducting ethical, co-produced research with autistic individuals with an eating disorder: best practice guidelines"

description: Supplementary files for article "Conducting ethical, co-produced research with autistic individuals with an eating disorder: best practice guidelines"<br><br>There is a notable overlap between autism and eating disorders (EDs), and autistic individuals may experience poorer ED treatment outcomes than non-autistic peers. To make meaningful change in this field, it is imperative that we actively engage in co-production of research, however there are currently no guidelines to support co-production with autistic people with eating disorders. This paper reports on best practice guidelines that were co-produced across a series of workshops bringing together autistic people with EDs, researchers, clinicians, third-sector organisations, and parents/carers. The guidelines are intended to be used as a foundation for future co-produced autism and ED research. By creating a trusted, ethical co-production relationship, we hope to generate more clinically meaningful and translatable research.<br><br>© The Author(s), CC BY-NC-ND 4.0
DOI: 10.17028/rd.lboro.31078873.v1
title: Supplementary information files for "Conducting ethical, co-produced research with autistic individuals with an eating disorder: best practice guidelines"

description: Supplementary files for article "Conducting ethical, co-produced research with autistic individuals with an eating disorder: best practice guidelines"<br><br>There is a notable overlap between autism and eating disorders (EDs), and autistic individuals may experience poorer ED treatment outcomes than non-autistic peers. To make meaningful change in this field, it is imperative that we actively engage in co-production of research, however there are currently no guidelines to support co-production with autistic people with eating disorders. This paper reports on best practice guidelines that were co-produced across a series of workshops bringing together autistic people with EDs, researchers, clinicians, third-sector organisations, and parents/carers. The guidelines are intended to be used as a foundation for future co-produced autism and ED research. By creating a trusted, ethical co-production relationship, we hope to generate more clinically meaningful and translatable research.<br><br>© The Author(s), CC BY-NC-ND 4.0
DOI: 10.5066/p9fxj1vx
title: Dependence of Sedimentation Behavior on Pore-Fluid Chemistry for Sediment Collected From Area B, Krishna-Godavari Basin During India's National Gas Hydrate Program, NGHP-02

description: One goal of the Indian National Gas Hydrate Program's NGHP-02 expedition was to examine the geomechanical response of marine sediment to the extraction of methane from gas hydrate found offshore eastern India in the Bay of Bengal. Methane gas hydrate is a naturally occurring crystalline solid that sequesters methane in individual molecular cages in a lattice of water molecules. Methane gas hydrate is a potential energy resource, but whether extracting methane from gas hydrate in the marine subsurface is technically and economically viable remains an open research topic as of 2018. This data release provides insight about a poorly quantified aspect of this process: the reaction of fine-grained sediment particles (fines) to the change in pore water chemistry that occurs when methane is extracted from gas hydrate. Fines are an issue for production because they can get resuspended in the flow of fluid and gas toward the extraction well. As fines move, they can cluster and subsequently clog pore throats in the sediment, reducing permeability (which controls how easily methane can flow toward the extraction well). There are two main factors in determining the cluster structure (the size and fabric of the cluster) and the cluster formation and settling rates: the type of fine-grained particle and the chemistry of the surrounding pore water. Data in this study provide insight into both factors. Fine particles interact with each other primarily in response to electrical forces, and changes in pore water chemistry can significantly alter how those forces are communicated between particles. In marine systems, in situ pore water is an electrically conductive brine. As gas hydrate dissociates, however, fresh water is released along with the methane, making the pore water less conductive. Depending on the type of fine-grained particles involved, the pore water chemistry change enhances or diminishes the clustering and changes the rates at which the clusters form and settle. For this data release, specimens from the NGHP-02 expedition are observed during sedimentation (settling) tests in pore fluids of differing chemistry. The results included in this data release can (1) provide insight into the types of fines present, which can be difficult to quantify if using the more standard x-ray diffraction method for identifying fines and (2) indicate whether the in situ fines are likely to increase or decrease their capacity to clog pore throats as the pore water transitions from higher to lower salinity during gas hydrate dissociation.
DOI: 10.5281/zenodo.18269941
title: Icobar HHH Framework
DOI: 10.5281/zenodo.18269943
title: Icobar HHH Framework
DOI: 10.15468/dl.jpq5su
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Oxytropis immersa"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014441-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.te6smp
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charybdis hellerii",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 129 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014442-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18269977
title: Cupania vernalis Cambess. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18269978
title: Cupania vernalis Cambess. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.gm8sg9
title: Occurrence Download

description: A dataset containing 41088 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "StateProvince is one of (Cesar, La Jagua de Ibirico)",
 "Year 2014-2026",
 "Country is one of (Colombia)",
 "GadmGid is one of (COL.12.14_2)",
 "PublishingOrg is one of (1a2bfe99-b7ca-4e3c-a5a2-18c85789e7d1, 188fd36a-2d61-4f35-8b67-d5529efb0005, e2e717bf-551a-4917-bdc9-4fa0f342c530, 8ee4c3d9-b194-4f81-b41a-402e5c077e05, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 67c63221-0c74-4c18-97f9-e2b2acb739ce, 2a7e3080-28a9-11dd-97cd-b8a03c50a862, 112087f6-a6c0-4cee-8441-387f900d34f9, 69ad50d2-2560-42a4-b522-171f6eca4fa3, b8b274e0-3216-48b8-afea-5616ec326ce1)",
 "BasisOfRecord is one of (Human Observation, Material sample, Machine Observation)",
 "OccurrenceStatus is one of (Present)",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC)",
 "TaxonKey is one of (Chordata [GBIF Backbone Taxonomy])"
 ]
 }
 ]
}

 The dataset includes 41088 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014440-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2bsqk
title: Occurrence Download

description: A dataset containing 431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abacoproeces saltuum",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Continent is Europe",
 "Year 1989-2010"
 ]
}

 The dataset includes 431 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014444-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pst499
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charybdis hellerii",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014443-260108223611665/datasets/export for details.
DOI: 10.34740/kaggle/dsv/14518895
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6te3d5
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Charybdis hellerii",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 231 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014445-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18269983
title: Cuphea carthagenensis (Jacq.) J.F.Macbr. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18269984
title: Cuphea carthagenensis (Jacq.) J.F.Macbr. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.6084/m9.figshare.31078885
title: Identifying Key Regions Where Vapor Pressure Deficit Dominates Drought Intensification

description: This repository contains the procedural code used in the research presented in the paper titled "Identifying Key Regions Where Vapor Pressure Deficit Dominates Drought Intensification."The code supports the complete analytical workflow of the study, enabling the replication of our process for identifying global regions where atmospheric aridity (vapor pressure deficit, VPD) is a primary driver of drought intensification. All scripts are functional in both R and Python.Key Contents:Data Preprocessing: Code for handling and standardizing climate and hydrological datasets (e.g., ERA5, GRACE).Drought Indicator Calculation: Scripts to compute relevant drought metrics, including VPD-based and other hydro-meteorological indices.Statistical Analysis & Dominance Detection: Core algorithms for trend analysis, correlation, and identifying regions where VPD trends dominate other factors in drought dynamics.Visualization: Code for generating the maps, time-series plots, and statistical figures used in the manuscript.Purpose: This repository aims to ensure the reproducibility and transparency of our research. It provides a practical toolkit for researchers to analyze the role of VPD in drought processes across different regions. The code is shared under an open-source license (please refer to the LICENSE file within the repository).Citation: If you use this code, please cite the associated research paper.
DOI: 10.6084/m9.figshare.31078885.v1
title: Identifying Key Regions Where Vapor Pressure Deficit Dominates Drought Intensification

description: This repository contains the procedural code used in the research presented in the paper titled "Identifying Key Regions Where Vapor Pressure Deficit Dominates Drought Intensification."The code supports the complete analytical workflow of the study, enabling the replication of our process for identifying global regions where atmospheric aridity (vapor pressure deficit, VPD) is a primary driver of drought intensification. All scripts are functional in both R and Python.Key Contents:Data Preprocessing: Code for handling and standardizing climate and hydrological datasets (e.g., ERA5, GRACE).Drought Indicator Calculation: Scripts to compute relevant drought metrics, including VPD-based and other hydro-meteorological indices.Statistical Analysis & Dominance Detection: Core algorithms for trend analysis, correlation, and identifying regions where VPD trends dominate other factors in drought dynamics.Visualization: Code for generating the maps, time-series plots, and statistical figures used in the manuscript.Purpose: This repository aims to ensure the reproducibility and transparency of our research. It provides a practical toolkit for researchers to analyze the role of VPD in drought processes across different regions. The code is shared under an open-source license (please refer to the LICENSE file within the repository).Citation: If you use this code, please cite the associated research paper.
DOI: 10.5281/zenodo.18269989
title: Cuphea fruticosa Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18269990
title: Cuphea fruticosa Spreng. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/dl.2t7ghj
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abax carinatus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Continent is Europe",
 "Year 1989-2010"
 ]
}

 The dataset includes 73 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014446-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufnxjc
title: Occurrence Download

description: A dataset containing 4072 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abax ovalis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Continent is Europe",
 "Year 1989-2010"
 ]
}

 The dataset includes 4072 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014447-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7pmex
title: Occurrence Download

description: A dataset containing 14680 records in GBIF matching the query:
SELECT
 '24' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -33.06103686093294
 AND decimalLatitude &lt;= -28.773895969281842
 AND decimalLongitude &gt;= 135.32502220240016
 AND decimalLongitude &lt;= 144.71903012755376
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 14680 records were derived from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014424-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3929/ethz-c-000784931
title: Dataset: Time is length in self-similar logarithmic aging of physically crosslinked polymer networks
DOI: 10.15468/dl.nvesd7
title: Occurrence Download

description: A dataset containing 9251119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Adenocarpus gibbsianus, Alchemilla fontqueri, Allium pruinatum, Anthemis bourgaei, Arenaria nevadensis, Artemisia granatensis, Artemisia umbelliformis, Astragalus edulis, Astragalus tremolsianus, Atropa baetica, Carduus myriacanthus, Centaurea gadorensis, Centaurea kunkelii, Coronopus navasii, Crepis granatensis, Culcita macrocarpa, Cynomorium coccineum, Dianthus hinoxianus, Diplazium caudatum, Dryopteris tyrrhena, Equisetum palustre, Erigeron frigidus, Erodium astragaloides, Erodium cazorlanum, Erodium rupicola, Euonymus latifolius, Hieracium texedense, Hippocrepis prostrata, Hormathophylla baetica, Hymenostemma pseudanthemis, Hypochaeris salzmanniana, Isoetes durieui, Jurinea fontqueri, Laserpitium longiradium, Limonium estevei, Limonium malacitanum, Linaria benitoi, Linaria glacialis, Linaria lamarckii, Linaria tursica, Lithodora nitida, Marsilea batardae, Marsilea strigosa, Moehringia fontqueri, Narcissus longispathus, Narcissus nevadensis, Ononis azcaratei, Onopordum dissectum, Phyllitis sagittata, Picris willkommii, Pinguicula nevadensis, Plantago algarbiensis, Psilotum nudum, Pteris incompleta, Rosmarinus tomentosus, Senecio elodes, Seseli intricatum, Silene fernandezii, Sonchus pustulatus, Taraxacum gaditanum, Thymus albicans, Ulex canescens, Vandenboschia speciosa, Verbascum charidemi, Viola cazorlensis, Vulpia fontquerana, Abies pinsapo, Betula pendula, Campanula specularioides, Iberis carnosa embergeri, Juniperus oxycedrus, Antirrhinum charidemi, Centaurea pulvinata, Gentiana sierrae, Veronica tenuifolia, Senecio nevadensis, Juniperus phoenicea, Tephroseris elodes, Leucanthemum arundanum, Quercus alpestris, Euphorbia nevadensis, Leontodon boryi, Aphanius baeticus, Aphanius iberus, Salmo trutta, Orculella bulgarica, Chionomys nivalis, Oenanthe oenanthe, Prunella collaris, Monticola saxatilis, Bucanetes githagineus, Alytes dickhilleni, Parnassius apollo, Polyommatus golgus, Agriades zullichi, Baetica ustulata, Rhyacophila nevada, Hydropsyche infernalis, Annitella esparraguera, Annitella iglesiasi, Limnephilus obsoletus, Stenophylax nycterobius, Taeniopteryx hubaulti, Perlodes microcephalus, Capnia nigra, Milvus milvus, Falco subbuteo, Ciconia nigra)",
 "DecimalLongitude is greater than or equal to -11",
 "DecimalLongitude is less than or equal to 50",
 "DecimalLatitude is greater than or equal to 30",
 "DecimalLatitude is less than or equal to 71",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1980",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen, Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)"
 ]
}

 The dataset includes 9251119 records from 6904 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014388-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.juhwyu
title: Occurrence Download

description: A dataset containing 510798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphenisciformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)",
 {
 "or" : [
 "Year is less than 2010",
 "Year is null"
 ]
 }
 ]
}

 The dataset includes 510798 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042866-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/bold:aeb6138
title: Overview of Barcode Index Number - BOLD:AEB6138

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.