cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.kes7te
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amphibia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Year is greater than or equal to 2000",
 "Geometry POLYGON ((-96.53266 17.74775, -96.53266 18.07218, -96.64269 18.07244, -96.64274 18.07117, -96.64371 18.0703, -96.64466 18.07033, -96.64662 18.06858, -96.64665 18.06768, -96.6486 18.06594, -96.64863 18.06503, -96.64961 18.06416, -96.64968 18.06236, -96.65066 18.06148, -96.65072 18.05968, -96.65169 18.0588, -96.65264 18.05883, -96.65753 18.05447, -96.65759 18.05266, -96.65955 18.05092, -96.65961 18.04911, -96.6616 18.04646, -96.66168 18.04419, -96.66299 18.04366, -96.67456 18.03678, -96.68813 18.02529, -96.69114 18.01507, -96.67998 17.99818, -96.66415 17.99514, -96.63673 17.99931, -96.62551 18.00026, -96.61001 17.99788, -96.59814 17.99452, -96.58826 17.98788, -96.58234 17.97993, -96.57841 17.97298, -96.57738 17.97143, -96.57812 17.97145, -96.5791 17.97058, -96.57913 17.96967, -96.58207 17.96706, -96.583 17.96709, -96.58496 17.96534, -96.5859 17.96537, -96.58612 17.96518, -96.58688 17.9645, -96.59728 17.96484, -96.59819 17.96578, -96.60386 17.96596, -96.60478 17.96689, -96.61045 17.96708, -96.61142 17.9662, -96.61332 17.96627, -96.61527 17.96452, -96.62101 17.9629, -96.62586 17.95944, -96.62869 17.95953, -96.62967 17.95866, -96.63156 17.95872, -96.6345 17.9561, -96.63543 17.95613, -96.63671 17.955, -96.64878 17.95415, -96.66035 17.9499, -96.66927 17.94499, -96.68478 17.9477, -96.69371 17.94147, -96.69739 17.92828, -96.68322 17.92195, -96.66707 17.91593, -96.64001 17.91482, -96.63881 17.91399, -96.63885 17.91286, -96.63706 17.91009, -96.63716 17.90738, -96.63537 17.90461, -96.63565 17.89649, -96.63663 17.89561, -96.63773 17.89113, -96.63871 17.89026, -96.63887 17.88575, -96.63984 17.88487, -96.63985 17.88458, -96.64805 17.88053, -96.64741 17.87491, -96.64943 17.86337, -96.6587 17.85615, -96.6706 17.85059, -96.6815 17.84734, -96.69238 17.85102, -96.70062 17.85402, -96.71252 17.84945, -96.71951 17.83562, -96.71986 17.82572, -96.71297 17.81744, -96.70209 17.81376, -96.69025 17.80149, -96.66783 17.79446, -96.66387 17.7928, -96.65662 17.7888, -96.64772 17.78579, -96.64114 17.78015, -96.63787 17.7732, -96.63062 17.76822, -96.62074 17.76422, -96.61246 17.77111, -96.60123 17.77469, -96.59167 17.77036, -96.58377 17.76372, -96.57983 17.75744, -96.57695 17.733, -96.57302 17.72208, -96.56974 17.71712, -96.56579 17.71545, -96.5536 17.70781, -96.54634 17.70711, -96.54073 17.70874, -96.53575 17.714, -96.5364 17.71796, -96.53835 17.72523, -96.53931 17.73514, -96.53499 17.7447, -96.53266 17.74775))"
 ]
}

 The dataset includes 104 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047856-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2bk4bm4jps.1
title: “High-Temperature Performance and Reliability of AlN and LGS Surface Acoustic Wave Resonators” Manuscript original data

description: Manuscript original data
DOI: 10.5281/zenodo.17229946
title: Sea Level Records from Eight Tide Gauges in the Cascadia Region During 2010 ETS event

description: Sea level records for eight tide gauges (Dungeness Bay, Foulweather, Olympia, Point Whitney, Sekiu, Sequim Bay, Twin Rivers, and Union) from a 2010 deployment in Washington as part of an NSF RAPID grant. Water levels were produced by reconstructing and calibrating raw sensor data. The deployment was installed to observe vertical deformation during the Episodic Tremor and Slip event in August of 2010.  The resulting water levels are consistent with official NOAA records and were tied to known benchmarks. InSAR-derived vertical velocities are given for each station to account for inter-event land motion.
DOI: 10.17632/5h7sgxddvy
title: Digital Expression in K-Pop Fandom

description: This is a transcript of in-depth interviews of KPOP fandom members. All participants were informed about the purpose and content of this publication and provided their consent for the published version.
DOI: 10.17632/5h7sgxddvy.1
title: Digital Expression in K-Pop Fandom

description: This is a transcript of in-depth interviews of KPOP fandom members. All participants were informed about the purpose and content of this publication and provided their consent for the published version.
DOI: 10.17632/6r76dfh4wv
title: Supplementary information Ruiz-Monachesi, Cruz and Martínez

description: Supplementary information of Ruiz-Monachesi, Cruz and Martínez study: 
S1: GenBank metadata
S2: Sequences By_locality
S3: List of species description, systematic and taxonomic studies consulted
S4: Fasta ZIP
S5: Species traits and literature
S6: Correlation matrices
S7: Evolutionary analyses
S8: Overall models outputs
S9:Slopes by species
DOI: 10.5281/zenodo.7495041
title: African biodiversity loss overview - data and scripts

description: Data and scripts used in an overview of African biodiversity loss (link to come). Mainly map data, but also R scripts, and instructions on how to draw the maps. The instructions are somewhat over-detailed, and will likely not be relevant for very many years, but could be useful for anyone just getting started in mapping biodiversity loss data.
DOI: 10.5281/zenodo.7495042
title: African biodiversity loss overview - data and scripts

description: Data and scripts used in an overview of African biodiversity loss (link to come). Mainly map data, but also R scripts, and instructions on how to draw the maps. The instructions are somewhat over-detailed, and will likely not be relevant for very many years, but could be useful for anyone just getting started in mapping biodiversity loss data.
DOI: 10.17632/6r76dfh4wv.4
title: Supplementary information Ruiz-Monachesi, Cruz and Martínez

description: Supplementary information of Ruiz-Monachesi, Cruz and Martínez study: 
S1: GenBank metadata
S2: Sequences By_locality
S3: List of species description, systematic and taxonomic studies consulted
S4: Fasta ZIP
S5: Species traits and literature
S6: Correlation matrices
S7: Evolutionary analyses
S8: Overall models outputs
S9:Slopes by species
DOI: 10.17632/5cv7whvjg2.1
title: Gelatin in dog diet

description: This is the raw data on the comparative effects of gelatin and hydrolyzed gelatin from by-products as partial protein substitutes on canine health and gut microbiota.
DOI: 10.17632/b8jn5rtwkg.1
title: Genome analysis dataset of Xylaria sp. KR-3U isolated from Catharanthus roseus leaves

description: This dataset contains secondary genome analysis files for Xylaria sp. KR-3U, including antiSMASH biosynthetic gene cluster predictions, dbCAN3 CAZyme annotations, KEGG pathway assignments, and BUSCO completeness reports. The dataset supports the forthcoming manuscript entitled "
DOI: 10.17632/m9f48spxyd
title: Dataset on Vietnamese high school teachers’ readiness for digital transformation in education

description: This dataset presents large-scale empirical evidence on the readiness of Vietnamese high school teachers for digital transformation, derived from an online survey conducted in May 2025 with 11,448 valid responses across five provinces and cities representing three major regions. The structured questionnaire comprises nine sections with 53 items measured on a 5-point Likert scale, encompassing: (1) Content Knowledge; (2) Technological Knowledge; (3) Technological Pedagogical Knowledge; (4) Perceived Necessity of Technology Use; (5) Perceived Self-Efficacy in Technology Use; (6) Performance and Effort Expectancy; (7) Social Influence; (8) Facilitating Conditions; (9) Behavioral Intention to Use Technology; (10) Actual Technology Use Behavior. The dataset provides a robust foundation for examining teachers’ digital competence, identifying determinants of readiness, and enabling comparative and cross-sectional analyses. It also offers practical implications for evidence-based policymaking and professional development initiatives aimed at enhancing teacher capacity in the context of educational digital transformation.
DOI: 10.17632/m9f48spxyd.2
title: Dataset on Vietnamese high school teachers’ readiness for digital transformation in education

description: This dataset presents large-scale empirical evidence on the readiness of Vietnamese high school teachers for digital transformation, derived from an online survey conducted in May 2025 with 11,448 valid responses across five provinces and cities representing three major regions. The structured questionnaire comprises nine sections with 53 items measured on a 5-point Likert scale, encompassing: (1) Content Knowledge; (2) Technological Knowledge; (3) Technological Pedagogical Knowledge; (4) Perceived Necessity of Technology Use; (5) Perceived Self-Efficacy in Technology Use; (6) Performance and Effort Expectancy; (7) Social Influence; (8) Facilitating Conditions; (9) Behavioral Intention to Use Technology; (10) Actual Technology Use Behavior. The dataset provides a robust foundation for examining teachers’ digital competence, identifying determinants of readiness, and enabling comparative and cross-sectional analyses. It also offers practical implications for evidence-based policymaking and professional development initiatives aimed at enhancing teacher capacity in the context of educational digital transformation.
DOI: 10.17632/2kpc5m4jp2
title: Quantitative constraints on fluid-induced extreme oxygen isotope fractionation from crystal–fluid interactions in highly evolved granite–pegmatite systems

description: The Supplementary Material comprises five files (Supplemental material of methods, Table S1, Table S2, Table S3, and Table S4). (1). Supplemental material of methods, which is which includes: detailed analytical methods, method of oxygen isotope self-diffusivity in minerals, method of dynamic fractionation controlled by surface reactions, method of the Rayleigh degassing model for the BST melt, and supplementary figures. (2). Table S1 displays the oxygen isotope values, characteristic peak and FWHM of zircon micro-scale domains in the Baishitouquan pluton. (3). Table S2 displays the oxygen isotope values of quartz micro-scale domains, calculated δ18OWR, δ18Ofluid, Δ18OQtz-Zrn and equilibrium temperature in the Baishitouquan pluton. (4). Table S3 displays using δ18O value of Zrn-I calculate Δ18OWR-zircon. (5). Table S4 displays calculated oxygen isotope closure temperature in zircon and quartz.
DOI: 10.17632/2kpc5m4jp2.2
title: Quantitative constraints on fluid-induced extreme oxygen isotope fractionation from crystal–fluid interactions in highly evolved granite–pegmatite systems

description: The Supplementary Material comprises five files (Supplemental material of methods, Table S1, Table S2, Table S3, and Table S4). (1). Supplemental material of methods, which is which includes: detailed analytical methods, method of oxygen isotope self-diffusivity in minerals, method of dynamic fractionation controlled by surface reactions, method of the Rayleigh degassing model for the BST melt, and supplementary figures. (2). Table S1 displays the oxygen isotope values, characteristic peak and FWHM of zircon micro-scale domains in the Baishitouquan pluton. (3). Table S2 displays the oxygen isotope values of quartz micro-scale domains, calculated δ18OWR, δ18Ofluid, Δ18OQtz-Zrn and equilibrium temperature in the Baishitouquan pluton. (4). Table S3 displays using δ18O value of Zrn-I calculate Δ18OWR-zircon. (5). Table S4 displays calculated oxygen isotope closure temperature in zircon and quartz.
DOI: 10.17632/8xsv65sfpm
title: Roasted Coconut

description: The data consists of best cooked, overcooked, and undercooked in roasted coconut.
DOI: 10.17632/8xsv65sfpm.1
title: Roasted Coconut

description: The data consists of best cooked, overcooked, and undercooked in roasted coconut.
DOI: 10.17632/pvwzvy8nwp
title: Shape Gradient Based Mumford-Shah Segmentation Without Level Sets

description: These images were used to detect boundaries using Mumford-Shah shape energy and shape calculus.
DOI: 10.17632/pvwzvy8nwp.1
title: Shape Gradient Based Mumford-Shah Segmentation Without Level Sets

description: These images were used to detect boundaries using Mumford-Shah shape energy and shape calculus.
DOI: 10.6073/pasta/1364be8c989e4d9dcdb7cc016467a49b
title: Removal of Aqueous Uranyl and Arsenate Mixtures by Natural Limestone and Hydroxyapatite Precipitates, Rio Paguate, NM, 2022-2023

description: This dataset documents a series of laboratory batch experiments investigating the removal of aqueous uranyl (U) and arsenate (As) mixtures using natural limestone and precipitated hydroxyapatite (HAp, Ca₁₀(PO₄)₆(OH)₂) as reactive materials. The main objective of the study was to address the challenge of simultaneous removal of uranyl cations and arsenate oxyanions by using mineral-based adsorbents, such as limestone. The precipitation of HAp enhanced As removal while maintaining high uranium immobilization efficiency.The archived data include measurements of aqueous U and As at trace-level concentrations under varying experimental conditions, including pH (ranging from 7 to 11), initial contaminant concentrations (0.05–1 mM), and the addition of calcium (Ca²⁺) and phosphate (PO₄³⁻) to promote HAp precipitation. Experiments were conducted in triplicate to ensure reproducibility, and solid-phase characterization data (from pXRD, SEM/EDX, and electron microprobe analysis) are also included to support the interpretation of removal mechanisms. A key finding revealed from the data is that near-complete removal of U (&gt;97%) with As removal between 30 and 98% were achieved under pH conditions around 9. This dataset provides a comprehensive record of solution chemistry and treatment performance, serving as a fundamental resource for evaluating the effectiveness of natural mineral-based approaches for remediating co-contaminated waters.
DOI: 10.15468/dl.x6qf8w
title: Occurrence Download

description: A dataset containing 757217 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 one of (Rinzia icosandra, Crabbea cirsioides, Gutierrezia megalocephala, Lyperia tristis, Crocus wattiorum, Salix myrsinifolia, Odontarrhena heldreichii, Leiocarpa websteri, Ekimia glauca, Gutenbergia rangei, Ceiba aesculifolia, Lessertia tomentosa, Junellia tridactylites, Trigonocapnos lichtensteinii, Urochloa serrata, Luzula parviflora, Danthonia malacantha, Zygophyllum zilloides, Erythranthe glabrata, Luzula stenophylla, Luzula flaccida, Erythranthe latidens, Erythranthe unimaculata, Aliciella triodon, Enekbatus stowardii, Urochloa arrecta, Persicaria attenuata, Aphanopetalum clematideum, Maireana microphylla, Platysace clelandii, Muhlenbergia filiformis, Cupaniopsis serrata, Platysace stephensonii, Cyclopia maculata, Maireana integra, Lathyrus czeczottianus, Lathyrus tournefortii, Bertya tasmanica, Pentameris longiglumis, Ptilostemon chamaepeuce, Erinacea anthyllis, Pleurocoronis pluriseta, Nonea vivianii, Fockea sinuata, Halophila stipulacea, Lamium galeobdolon, Rytidosperma gracile, Pentameris velutina, Petrorhagia lycica, Chromolaena sagittata, Huynhia purpurea, Muilla maritima, Veronica grisebachii, Peponium caledonicum, Pentameris galpinii, Saxifraga polita, Cylindropuntia echinocarpa, Androsace brevis, Cylindropuntia sanfelipensis, Johnstonella mexicana, Huernia humilis, Silene variegata, Noltea africana, Tetrapogon tenellus, Rhinanthus pindicus, Lophiolepis boluensis, Cylindropuntia calmalliana, Lophiolepis davisiana, Ixia divaricata, Poecilolepis ficoidea, Silene coronaria, Anacamptis dafnii, Tritonia crocata, Clarkia delicata, Adenogramma capillaris, Empodisma minus, Helictotrichon sempervirens, Rhinanthus sintenisii, Isolepis karroica, Adromischus cristatus, Trigonella caerulea, Cynanchica idaea, Muraltia tenuifolia, Monopsis unidentata, Hermannia stricta, Jordaaniella dubia, Orchimantoglossum salaminense, Spermolepis echinata, Euploca ventricosa, Aliella platyphylla, Tuberaria guttata, Trichomanes inopinatum, Montiopsis trifida, Ammoides atlantica, Oxylobium ellipticum, Chamaecytisus pygmaeus, Digitaria brazzae, Chamaecytisus proteus, Muraltia pauciflora)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 757217 records from 2207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047841-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5247u7
title: Occurrence Download

description: A dataset containing 164480 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is ACQUISITION_CBNMC - LAMAISON J.L."
 ]
}

 The dataset includes 164480 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020255-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.et9uu3
title: Occurrence Download

description: A dataset containing 166203 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Indiana University Herbarium, Deam Herbarium"
 ]
}

 The dataset includes 166203 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020254-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5t38v3
title: Occurrence Download

description: A dataset containing 29045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenonympha glycerion Borkhausen, 1788",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 29045 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059609-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emgz4d
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cnemaspis goaensis Sharma, 1976"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006267-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m9r7tp
title: Occurrence Download

description: A dataset listing the 3301621 species recorded in GBIF matching the query:
{ }

 The dataset's 3301621 records were derived from 31953 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0121740-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0209873.10fu
title: SH0209873.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0209874.10fu
title: SH0209874.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0209875.10fu
title: SH0209875.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0209876.10fu
title: SH0209876.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.