cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.httwr4
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletiopsis funckii (Sch.Bip. ex Wedd.) Cuatrec."
 ]
}

 The dataset includes 44 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002253-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v88u8f
title: Occurrence Download

description: A dataset containing 5905 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Irania gutturalis (Guerin-Meneville, 1843)"
 ]
}

 The dataset includes 5905 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049337-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn6knk
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spizaetus ornatus (Daudin, 1800)",
 "Country is Colombia",
 "HasCoordinate is true",
 "Geometry POLYGON((-77.997436 0.867886,-78.074340 0.895349,-78.156738 0.917319,-78.277587 1.027166,-78.502807 1.191930,-78.667602 1.279800,-78.826904 1.400617,-78.975219 1.499462,-79.019165 1.614776,-78.046875 4.127285,-78.046875 6.577303,-77.888259 7.223524,-77.838134 7.479580,-77.747497 7.716435,-77.527770 8.189742,-77.472839 8.515835,-77.456359 8.608178,-77.371215 8.711358,-76.426391 8.906780,-76.063842 8.787368,-75.871582 8.461505,-75.926513 8.010276,-75.794677 7.400600,-76.074829 7.177200,-76.448364 7.307984,-76.393432 6.937332,-76.305541 6.533645,-76.157226 6.440859,-76.151733 5.976680,-75.888061 5.845545,-75.964965 5.583184,-75.910034 5.397273,-75.970458 5.200364,-76.047363 4.932251,-76.063842 4.609278,-76.041870 4.351888,-76.228637 3.930020,-76.464843 3.694336,-76.624145 3.431174,-76.723022 2.992413,-76.744995 2.569938,-77.997436 0.867886))",
 {
 "or" : [
 "HasGeospatialIssue is false",
 "HasGeospatialIssue is true"
 ]
 }
 ]
}

 The dataset includes 63 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030132-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtlgkn
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acrisione B.Nord."
 ]
}

 The dataset includes 51 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002253-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ycv86q
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alstonia breviloba Sidiy."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002457-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjzatr
title: Occurrence Download

description: A dataset containing 7965947 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Selaginella P.Beauv.",
 "TaxonKey is Dryas L.",
 "TaxonKey is Andromeda L.",
 "TaxonKey is Carex L.",
 "TaxonKey is Ledum Ruppius ex L.",
 "TaxonKey is Myrica L.",
 "TaxonKey is Vaccinium L.",
 "TaxonKey is Populus L.",
 "TaxonKey is Alnus Mill.",
 "TaxonKey is Cornus L.",
 "TaxonKey is Menyanthes L.",
 "TaxonKey is Betula L.",
 "TaxonKey is Larix Mill.",
 "TaxonKey is Paliurus Mill.",
 "TaxonKey is Salix L.",
 "TaxonKey is Polygonum L."
 ]
}

 The dataset includes 7965947 records from 1516 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030137-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17812870
title: Predicting Resting Metabolic Rate in healthy adults: A Comparative Analysis Using the enable cohort

description: Background: Resting metabolic rate (RMR) is modulated by a variety of factors. Accurate prediction of RMR is essential for planning energy requirements but remains challenging due to inter-individual variability. 

Objective: This study aimed to develop and evaluate machine learning models for predicting RMR using comprehensive data from the cross-sectional enable study and to identify the most predictive and stable features across different study populations.

Methods: RMR was predicted using data from 454 participants of the enable phenotyping platform (Freising and Nuremberg cohort). We systematically compared linear and nonlinear machine learning models trained on either the full set of 94 predictors or a reduced set of routinely accessible variables, including sex, age, body weight, fat mass, and fat-free mass. Model performance was assessed by cross-validation. The best-performing model (Lasso) was further evaluated on independent test datasets from other cohorts. Feature importance and stability were assessed using repeated cross-validation and marginal variance decomposition.

Results: Lasso regression consistently outperformed other models, particularly when trained on the enable cohort feature set. The final model explained 76.8% of RMR variance in the Freising cohort. Key predictive features included fat-free mass, body weight, and mean outdoor temperature. Blood-based features contributed marginally, whereas microbiota and fecal short chain fatty acids variables did not contribute to explaining RMR.

Conclusion: This novel prediction model for RMR shows improved accuracy in comparison to traditional models. While microbiota composition did not contribute to explain the residual variation in RMR, the inclusion of clinical blood parameters and outdoor temperature improved predictive performance.
DOI: 10.5281/zenodo.17853924
title: Dataset for "Optimising the structure of mesoporous niobium oxide using evaporation-induced self-assembly synthesis method"

description: Dataset for "Optimising the structure of mesoporous niobium oxide using evaporation-induced self-assembly synthesis method"
DOI: 10.5281/zenodo.15298881
title: Dataset for "Optimising the structure of mesoporous niobium oxide using evaporation-induced self-assembly synthesis method"

description: Dataset for "Optimising the structure of mesoporous niobium oxide using evaporation-induced self-assembly synthesis method"
DOI: 10.5281/zenodo.17369768
title: Dataset for HyperGas package

description: The HyperGas package is a Python library for retrieving trace gas enhancements from hyperspectral satellite data and writing them to different formats (NetCDF, PNG, and HTML). HyperGas also supports generating plume masks and calculating gas emission rates.

To use the compressed data, visit the HyperGas website, and follow the installation instructions.
DOI: 10.5281/zenodo.17369767
title: Dataset for HyperGas package

description: The HyperGas package is a Python library for retrieving trace gas enhancements from hyperspectral satellite data and writing them to different formats (NetCDF, PNG, and HTML). HyperGas also supports generating plume masks and calculating gas emission rates.

To use the compressed data, visit the HyperGas website, and follow the installation instructions.
DOI: 10.25919/xh6r-bw15
title: NBDL Data Download
DOI: 10.5281/zenodo.17853921
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.15468/dl.hndkt9
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllodoce citrina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 141 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037058-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ftuxk
title: Occurrence Download

description: A dataset containing 19559 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "Geometry POLYGON ((12.90898 47.52885, 12.95898 47.52885, 12.95898 47.57885, 12.90898 47.57885, 12.90898 47.52885))"
 ]
}

 The dataset includes 19559 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037059-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebvw93
title: Occurrence Download

description: A dataset containing 5074 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cossypha albicapillus"
 ]
}

 The dataset includes 5074 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037060-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15582632
title: A global ten-day average microwave land surface emissivity (MLSE) dataset from FY-3D satellite in 2021-2022

description: Microwave land surface emissivity (MLSE) atlas is an important prerequisite for satellite data assimilation. A set of ten-day average FengYun-3D (FY-3D) MLSE atlas (New_FY3D) was constructed by the two global MLSE daily product datasets, clear-sky (FY-3D1) and clear/cloudy (FY-3D2) retrieved from the same set of FY-3D Micro-Wave Radiation Imager (MWRI) Level-1 brightness temperature (BT) data from 2021 to 2022, respectively.  Then, based on the 6.925GHz MLSE atlas of AMSR-E and the 150GHz MLSE atlas of AMSU-B,  MLSE estimation at  6.9 GHz and 150 GHz frequencies were made for New_FY3D.  The New_FY3D atlas has good MLSE phenological variation for typical land cover types, and it is better than the international mainstream TELSEM2 MLSE atlas, with standard deviations of 6.7K and 7.0K for the observed minus simulated (OMB) of FY-3F MWRI-Ⅱ L1 BT simulation, respectively. 

    The dataset spatial resolution is 0.25°  with equal latitude and longitude projection(1400 samples * 720 lines).  And the dataset temporal resolution is ten-day. Therefore, the dataset has a total of 36 NC format files throughout the year. Each NC format file  includes 14 channel emissivity with vertical and horizontal polarization at 7 frequencies (6.925, 10.65, 18.7, 23.8, 36.5 , 89.0 and 150.0 GHz).
DOI: 10.5281/zenodo.15582633
title: A global ten-day average microwave land surface emissivity (MLSE) dataset from FY-3D satellite in 2021-2022

description: Microwave land surface emissivity (MLSE) atlas is an important prerequisite for satellite data assimilation. A set of ten-day average FengYun-3D (FY-3D) MLSE atlas (New_FY3D) was constructed by the two global MLSE daily product datasets, clear-sky (FY-3D1) and clear/cloudy (FY-3D2) retrieved from the same set of FY-3D Micro-Wave Radiation Imager (MWRI) Level-1 brightness temperature (BT) data from 2021 to 2022, respectively.  Then, based on the 6.925GHz MLSE atlas of AMSR-E and the 150GHz MLSE atlas of AMSU-B,  MLSE estimation at  6.9 GHz and 150 GHz frequencies were made for New_FY3D.  The New_FY3D atlas has good MLSE phenological variation for typical land cover types, and it is better than the international mainstream TELSEM2 MLSE atlas, with standard deviations of 6.7K and 7.0K for the observed minus simulated (OMB) of FY-3F MWRI-Ⅱ L1 BT simulation, respectively. 

    The dataset spatial resolution is 0.25°  with equal latitude and longitude projection(1400 samples * 720 lines).  And the dataset temporal resolution is ten-day. Therefore, the dataset has a total of 36 NC format files throughout the year. Each NC format file  includes 14 channel emissivity with vertical and horizontal polarization at 7 frequencies (6.925, 10.65, 18.7, 23.8, 36.5 , 89.0 and 150.0 GHz).
DOI: 10.5281/zenodo.17853925
title: RobynvanZijl_IRMS_Plant

description: This dataset contains carbon and nitrogen stable isotope ratios (δ¹³C, δ¹⁵N) and elemental percentages (%C, %N) for plant samples collected across 4 sites in the Berg River Estuary in June 2025. Analyses were conducted at the BIOGRIP Water and Soil Node, Stellenbosch University, using a Vario Isotope Select elemental analyser (Elementar, Germany) coupled to an Isoprime precision isotope ratio mass spectrometer (IRMS, Elementar, UK) with LyticOS© software (v5.0.4.118). Samples were weighed into tin capsules (approximately 2–3 mg) and analysed following standard EA-IRMS protocols, including combustion, reduction, drying, and separation via a Temperature Programmed Desorption (TPD) column. δ¹³C values are expressed relative to Vienna Pee Dee Belemnite (VPDB), and δ¹⁵N values relative to atmospheric nitrogen (Air). Quality control and drift correction were achieved using reference standards (USGS40, Coldwater Fish Gelrite) and laboratory standards (wheat flour, sorghum flour), analysed periodically throughout runs.
DOI: 10.5281/zenodo.17853926
title: RobynvanZijl_IRMS_Plant

description: This dataset contains carbon and nitrogen stable isotope ratios (δ¹³C, δ¹⁵N) and elemental percentages (%C, %N) for plant samples collected across 4 sites in the Berg River Estuary in June 2025. Analyses were conducted at the BIOGRIP Water and Soil Node, Stellenbosch University, using a Vario Isotope Select elemental analyser (Elementar, Germany) coupled to an Isoprime precision isotope ratio mass spectrometer (IRMS, Elementar, UK) with LyticOS© software (v5.0.4.118). Samples were weighed into tin capsules (approximately 2–3 mg) and analysed following standard EA-IRMS protocols, including combustion, reduction, drying, and separation via a Temperature Programmed Desorption (TPD) column. δ¹³C values are expressed relative to Vienna Pee Dee Belemnite (VPDB), and δ¹⁵N values relative to atmospheric nitrogen (Air). Quality control and drift correction were achieved using reference standards (USGS40, Coldwater Fish Gelrite) and laboratory standards (wheat flour, sorghum flour), analysed periodically throughout runs.
DOI: 10.15468/dl.3khpz2
title: Occurrence Download

description: A dataset containing 1172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllodoce laminosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1172 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037063-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17853779
title: Dataset for Associations between visual-motor integration, pencil grip patterns, and holistic academic performance among school children

description: This dataset contains anonymised visual-motor integration (VMI), visual perception (VP), motor coordination (MC), pencil grip classifications, handedness, and Classroom-Based Assessment (CBA) academic mastery levels for 148 Malaysian school children aged 6–12 years. The data were collected from three public schools in Kuala Lumpur as part of a cross-sectional study examining the associations between VMI components, pencil grip patterns, and holistic academic performance. The dataset includes raw and standardized scores from the Beery–Buktenica Developmental Test of Visual-Motor Integration (6th Edition), pencil grip type (five-category classification), handedness, and mastery levels for four core subjects (Malay Language, English, Mathematics, and Science) derived from the national CBA system. All personal identifiers—including names, dates of birth, and school locations—have been removed. Each participant is assigned a non-sequential anonymised ID. This dataset supports the manuscript “Associations between visual-motor integration, pencil grip patterns, and holistic academic performance among school children,” which investigates: (1) correlations between VMI components and academic mastery, (2) differences in VMI performance across pencil grip types, and (3) the influence of age on VMI outcomes.
DOI: 10.5281/zenodo.17853780
title: Dataset for Associations between visual-motor integration, pencil grip patterns, and holistic academic performance among school children

description: This dataset contains anonymised visual-motor integration (VMI), visual perception (VP), motor coordination (MC), pencil grip classifications, handedness, and Classroom-Based Assessment (CBA) academic mastery levels for 148 Malaysian school children aged 6–12 years. The data were collected from three public schools in Kuala Lumpur as part of a cross-sectional study examining the associations between VMI components, pencil grip patterns, and holistic academic performance. The dataset includes raw and standardized scores from the Beery–Buktenica Developmental Test of Visual-Motor Integration (6th Edition), pencil grip type (five-category classification), handedness, and mastery levels for four core subjects (Malay Language, English, Mathematics, and Science) derived from the national CBA system. All personal identifiers—including names, dates of birth, and school locations—have been removed. Each participant is assigned a non-sequential anonymised ID. This dataset supports the manuscript “Associations between visual-motor integration, pencil grip patterns, and holistic academic performance among school children,” which investigates: (1) correlations between VMI components and academic mastery, (2) differences in VMI performance across pencil grip types, and (3) the influence of age on VMI outcomes.
DOI: 10.15468/dl.ens3df
title: Occurrence Download

description: A dataset containing 29394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "Geometry POLYGON ((12.92428 47.5443, 12.97428 47.5443, 12.97428 47.5943, 12.92428 47.5943, 12.92428 47.5443))"
 ]
}

 The dataset includes 29394 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037064-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34934/dvn/rrzgxz
title: rEUsilience - Family Dynamics and Labour Market Risks (tssq25_1)

description: This module captures intra-household dynamics in care responsibilities, paid work, access to resources and sharing of resources. It contains questions on household composition, use of childcare services, care responsibilities for a person in need of support due to age, illness or disability, access to resources, resource sharing, and material deprivation.
DOI: 10.25835/or0acj5p
title: Lithium Faraday Filter

description: Raw data of the manuscript Lithium Faraday Filter.
DOI: 10.5287/ora-kebqgxzam
title: Single-step synthesis of Cs3Bi2I9 nanocrystals for scalable direct X-ray detectors

description: Raw data for all the figures in the main text and SI for this paper
DOI: 10.15468/dl.y6e5af
title: Occurrence Download

description: A dataset containing 185816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alkekengi officinarum, Atropa baetica, Atropa belladonna, Atropa martiana, Brugmansia arborea, Brugmansia aurea, Capsicum annuum, Cestrum parqui, Datura ferox, Datura innoxia, Datura metel, Datura quercifolia, Datura stramonium, Datura wrightii, Hyoscyamus albus, Hyoscyamus aureus, Hyoscyamus niger, Hyoscyamus pusillus, Hyoscyamus reticulatus, Jaborosa integrifolia, Jaltomata procumbens, Lycianthes rantonnetii, Lycium afrum, Lycium barbarum, Lycium chinense, Lycium cinereum, Lycium europaeum, Lycium ferocissimum, Lycium intricatum, Lycium ruthenicum, Lycium schweinfurthii, Lycium shawii, Mandragora autumnalis, Mandragora officinarum, Nicandra physalodes, Nicotiana acuminata, Nicotiana alata, Nicotiana corymbosa, Nicotiana forgetiana, Nicotiana glauca, Nicotiana langsdorffii, Nicotiana longiflora, Nicotiana megalosiphon, Nicotiana miersii, Nicotiana mutabilis, Nicotiana rustica, Nicotiana suaveolens, Nicotiana sylvestris, Nicotiana tabacum, Nierembergia scoparia, Nolana humifusa, Nolana paradoxa, Petunia axillaris, Petunia integrifolia, Physalis angulata, Physalis grisea, Physalis, Physalis lagascae, Physalis longifolia, Physalis peruviana, Physalis philadelphica, Physalis pubescens, Physalis pumila, Physalis virginiana, Salpichroa origanifolia, Salpiglossis sinuata, Schizanthus pinnatus, Sclerophylax spinescens, Scopolia carniolica, Solandra maxima, Solanum abutiloides, Solanum aculeatissimum, Solanum americanum, Solanum angustifolium, Solanum atropurpureum, Solanum betaceum, Solanum bonariense, Solanum capsicoides, Solanum carolinense, Solanum chenopodioides, Solanum citrullifolium, Solanum dulcamara, Solanum elaeagnifolium, Solanum emulans, Solanum herculeum, Solanum heterodoxum, Solanum hystrix, Solanum laciniatum, Solanum linnaeanum, Solanum lycopersicum, Solanum mammosum, Solanum marginatum, Solanum nigrum, Solanum nitidibaccatum, Solanum physalifolium, Solanum pimpinellifolium, Solanum pseudocapsicum, Solanum pygmaeum, Solanum pyracanthos, Solanum retroflexum, Solanum robustum, Solanum rostratum, Solanum sarrachoides, Solanum scabrum, Solanum sisymbriifolium, Solanum tomentosum, Solanum triflorum, Solanum tuberosum, Solanum villosum, Solanum procurrens, Vestia foetida, Withania frutescens, Withania somnifera)",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 185816 records from 1053 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037050-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.