cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8hsypb
title: Occurrence Download

description: A dataset containing 1592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-136.83832 36.78464,-114.71241 36.78464,-114.71241 58.53458,-136.83832 58.53458,-136.83832 36.78464))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erethizon dorsatus"
 ]
}

 The dataset includes 1592 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015081-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7xge6
title: Occurrence Download

description: A dataset containing 13923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lepus saxatilis, Kobus ellipsiprymnus, Phacochoerus africanus, Hippopotamus amphibius, Ceratotherium simum)",
 "Year 2015-2025"
 ]
}

 The dataset includes 13923 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015082-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5pc2tp43
title: MassIVE MSV000100735 - Non-targeted LC-MS/MS metabolomics dataset for GNPS molecular networking RS
title: Non-targeted LC-MS/MS metabolomics dataset generated for molecular networking analysis using GNPS.
DOI: 10.15472/keeem7
title: Especies herbáceas presentes en un área de estudio con presencia de Ulex europaeus - 2025

description: Se realizaron colectas de muestras botánicas para realizar su posterior identificación y dejar depositadas en el herbario como testigo del material encontrado en el proceso de investigación. El proceso de recolección botánica inicia a través de colecciones generales realizadas durante recorridos en el área de interés. Se recolectó, especímenes en estado fértil, con flores o frutos, para facilitar su posterior identificación taxonómica, depositándolos inicialmente en bolsas plásticas transparentes para su transporte.Simultáneamente, se registró en una libreta de campo información detallada para cada número de colección, incluyendo atributos como la localidad, coordenadas, altitud, fecha y notas descriptivas sobre características que se pierden con el secado, como olores, colores y exudados.
Una vez recolectadas las muestras, se procedió al prensado, organizando los ejemplares en papel periódico y formando paquetes amarrados con cabuya, las muestras se marcaron con marcadores indelebles y, para garantizar su preservación y evitar el deterioro por hongos o pérdida de hojas, se alcoholizaron con etanol al 70% dos días después de la recolección. El proceso finalizó con el procesamiento del material para constituir un ejemplar de herbario, el cual se acompañó de una etiqueta definitiva con toda la información registrada en campo. Estas colectas se llevaron a cabo en la vereda de Verjones en el predio Teusacá en el marco del proyecto 8087 “Investigación para la conservación de los ecosistemas y la flora de Bogotá D.C.” contrato 697 del 2025, en total se colectaron 25 especies herbáceas.
DOI: 10.25909/28545575
title: OzBarley: phenotypic data of OzBarley elite panel collected in greenhouse trials at Australian Plant Phenomics Network, University of Adelaide

description: <b>Imaging and tiller data</b>: the OzBarley elite panel was grown to capture images for non-destructive growth analysis. Manual measurements of tiller counts and peduncle length were additionally recorded. The BLUES are presented in Excel format.<b>Time course images</b>: the raw images collected during the growth of the OzBarley elite panel can be accessed and downloaded via hyperlinks provided in an Excel file.<b>Experimental design and growth curve figures</b>: Document containing the experimental design figures and descriptive plots for the non-destructive growth trial.<b>Timelapse Video</b>: An example timelapse video is provided in MP4 format depicting a the growth of one plant of accessions Dictator, Maximus CL, Unicorn and Vlamingh each.<b>X-ray images</b>: cross sections of OzBarley spikes obtained by X-ray CT imaging are presented. In addition, seeds identified by X-ray CT imaging are presented across their largest cross-section. Meta-data for the images is listed in an Excel file, while images are provided as ZIP folders with individual png files.<b>X-ray raw data:</b> spikes collected from greenhouse grown plants of the OzBarley elite panel were imaged with an X-ray CT scanner to collect seed and spike level data. The resulting numeric data is presented in Excel format.
DOI: 10.25909/28545575.v5
title: OzBarley: phenotypic data of OzBarley elite panel collected in greenhouse trials at Australian Plant Phenomics Network, University of Adelaide

description: <b>Imaging and tiller data</b>: the OzBarley elite panel was grown to capture images for non-destructive growth analysis. Manual measurements of tiller counts and peduncle length were additionally recorded. The BLUES are presented in Excel format.<b>Time course images</b>: the raw images collected during the growth of the OzBarley elite panel can be accessed and downloaded via hyperlinks provided in an Excel file.<b>Experimental design and growth curve figures</b>: Document containing the experimental design figures and descriptive plots for the non-destructive growth trial.<b>Timelapse Video</b>: An example timelapse video is provided in MP4 format depicting a the growth of one plant of accessions Dictator, Maximus CL, Unicorn and Vlamingh each.<b>X-ray images</b>: cross sections of OzBarley spikes obtained by X-ray CT imaging are presented. In addition, seeds identified by X-ray CT imaging are presented across their largest cross-section. Meta-data for the images is listed in an Excel file, while images are provided as ZIP folders with individual png files.<b>X-ray raw data:</b> spikes collected from greenhouse grown plants of the OzBarley elite panel were imaged with an X-ray CT scanner to collect seed and spike level data. The resulting numeric data is presented in Excel format.
DOI: 10.25909/28545575.v4
title: OzBarley: phenotypic data of OzBarley elite panel collected in greenhouse trials at Australian Plant Phenomics Network, University of Adelaide

description: <b>Imaging and tiller data</b>: the OzBarley elite panel was grown to capture images for non-destructive growth analysis. Manual measurements of tiller counts and peduncle length were additionally recorded. The BLUES are presented in Excel format.<b>Time course images</b>: the raw images collected during the growth of the OzBarley elite panel can be accessed and downloaded via hyperlinks provided in an Excel file.<b>X-ray data:</b> spikes collected from greenhouse grown plants of the OzBarley elite panel were imaged with an X-ray CT scanner to collect seed and spike level data. The resulting numeric data is presented in Excel format.<b>X-ray images</b>: cross sections of OzBarley spikes obtained by X-ray CT imaging are presented. In addition, seeds identified by X-ray CT imaging are presented across their largest cross-section. Meta-data for the images is listed in an Excel file, while images are provided as ZIP folders with individual png files.<b>Experimental design and growth curve figures</b>: Document containing the experimental design figures and descriptive plots for the non-destructive growth trial.
DOI: 10.15468/dl.gepe7r
title: Occurrence Download

description: A dataset containing 32533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Loxodonta africana, Aepyceros melampus, Paraxerus cepapi, Oreotragus oreotragus, Sylvicapra grimmia, Diceros bicornis, Lepus saxatilis, Kobus ellipsiprymnus, Phacochoerus africanus, Hippopotamus amphibius, Ceratotherium simum)",
 "Year 2015-2025"
 ]
}

 The dataset includes 32533 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015087-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkwby9
title: Occurrence Download

description: A dataset containing 64781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fragaria vesca, Fragaria vesca, Fragaria vesca, Fragaria vesca, Fragaria vesca, Fragaria vesca, Fragaria vesca, Fragaria vesca, Fragaria vescana)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 64781 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015056-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqx4tu
title: Occurrence Download

description: A dataset containing 1241200 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, scientificname, decimallatitude, decimallongitude, eventdate, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude 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 "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -37.42857426825602
 AND decimallatitude &lt;= -33.06103686093294
 AND decimallongitude &gt;= 16.698349630102356
 AND decimallongitude &lt;= 23.025648717621866
 AND GBIF_Within('POLYGON ((23.025649 -37.428574, 23.025649 -33.061037, 16.698350 -33.061037, 16.698350 -37.428574, 23.025649 -37.428574))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 1241200 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015078-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18500468
title: Insulin discourse
DOI: 10.5281/zenodo.18500467
title: Insulin discourse
DOI: 10.15468/dl.q9rwp7
title: Occurrence Download

description: A dataset containing 14936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fragaria viridis, Fragaria viridis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 14936 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015088-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18500397
title: Artificial Intelligence for Electrode Quality Control in Battery Manufacturing: Evaluating Machine Learning, Deep Learning, and Transfer Learning Models for Tin, Zinc, and Titanium Electrodes

description: This dataset consists of optical images of screen-printed electrodes collected for surface quality assessment in a laboratory manufacturing environment. The images are organized into three top-level folders, each corresponding to a different electrode material: Tin, Zinc, and Titanium.

Within each material folder, images are further grouped by surface quality class. For Tin electrodes, the classes are Tin_good, Tin_medium, and Tin_bad. For Zinc electrodes, the classes are Zinc_good and Zinc_bad, and for Titanium electrodes, the classes are Titanium_good and Titanium_bad. Each image represents an individual printed electrode surface.

All images were acquired using a consistent optical imaging setup under controlled lighting and magnification conditions following the screen-printing process. The dataset captures natural variations in print quality arising from process variability, including differences in surface homogeneity, edge definition, and defect presence. The dataset contains no synthetic or augmented images and reflects real inspection conditions encountered during electrode fabrication.

This dataset is intended to support research in machine learning, computer vision, and automated visual inspection for printed electronics and related manufacturing applications.
DOI: 10.5281/zenodo.18500396
title: Artificial Intelligence for Electrode Quality Control in Battery Manufacturing: Evaluating Machine Learning, Deep Learning, and Transfer Learning Models for Tin, Zinc, and Titanium Electrodes

description: This dataset consists of optical images of screen-printed electrodes collected for surface quality assessment in a laboratory manufacturing environment. The images are organized into three top-level folders, each corresponding to a different electrode material: Tin, Zinc, and Titanium.

Within each material folder, images are further grouped by surface quality class. For Tin electrodes, the classes are Tin_good, Tin_medium, and Tin_bad. For Zinc electrodes, the classes are Zinc_good and Zinc_bad, and for Titanium electrodes, the classes are Titanium_good and Titanium_bad. Each image represents an individual printed electrode surface.

All images were acquired using a consistent optical imaging setup under controlled lighting and magnification conditions following the screen-printing process. The dataset captures natural variations in print quality arising from process variability, including differences in surface homogeneity, edge definition, and defect presence. The dataset contains no synthetic or augmented images and reflects real inspection conditions encountered during electrode fabrication.

This dataset is intended to support research in machine learning, computer vision, and automated visual inspection for printed electronics and related manufacturing applications.
DOI: 10.5281/zenodo.18465528
title: METODO DE INTEGRIDAD (PIR)

description: Método de Integridad (PIR) introduce un criterio metadeductivo general para auditar procesos de razonamiento en cualquier marco formal. Su potencia reside en separar de manera estricta la validez estructural de una derivación de la verdad de sus conclusiones, permitiendo detectar circularidad, cierres implícitos y blindajes lógicos que permanecen invisibles en enfoques tradicionales. PIR funciona como una herramienta de control racional aplicable a demostraciones matemáticas, modelos científicos, sistemas formales y procesos decisorios complejos, ofreciendo un estándar explícito, falsable y no autorreferencial para evaluar la legitimidad del razonamiento antes de aceptar sus resultados.
DOI: 10.5281/zenodo.18500482
title: METODO DE INTEGRIDAD (PIR)

description: Método de Integridad (PIR) introduce un criterio metadeductivo general para auditar procesos de razonamiento en cualquier marco formal. Su potencia reside en separar de manera estricta la validez estructural de una derivación de la verdad de sus conclusiones, permitiendo detectar circularidad, cierres implícitos y blindajes lógicos que permanecen invisibles en enfoques tradicionales. PIR funciona como una herramienta de control racional aplicable a demostraciones matemáticas, modelos científicos, sistemas formales y procesos decisorios complejos, ofreciendo un estándar explícito, falsable y no autorreferencial para evaluar la legitimidad del razonamiento antes de aceptar sus resultados.
DOI: 10.5281/zenodo.18500474
title: Validating an abbreviated version of a novel performance-based test of cognition and daily function in older adults for dementia screening
DOI: 10.5281/zenodo.18500473
title: Validating an abbreviated version of a novel performance-based test of cognition and daily function in older adults for dementia screening
DOI: 10.15468/dl.2c6y3j
title: Occurrence Download

description: A dataset containing 1195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fritillaria meleagris, Fritillaria meleagris, Fritillaria meleagris, Fritillaria meleagris, Fritillaria meleagris, Fritillaria meleagris, Fritillaria meleagris, Fritillaria meleagris, Fritillaria meleagris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1195 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015090-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.knadqx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is "
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015092-260129131611470/datasets/export for details.
DOI: 10.15468/dl.6yc6st
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fumana procumbens)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 532 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015093-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5gwmtt
title: Occurrence Download

description: A dataset containing 377678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 377678 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015050-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yajkpp
title: Occurrence Download

description: A dataset containing 3204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Galatella linosyris, Aster linosyris, Aster linosyris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 3204 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015095-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25909/29104916.v2
title: OzBarley: genotypic and expression data of the OzBarley elite panel

description: <b>Genotyping data (HapMap file)</b>The OzBarley germplasm was genotyped using the Infinium™ Wheat Barley 40K v1.0 BeadChip (Elite Panel) and v1.1 BeadChip (Landraces) (Illumina, San Diego, USA).In addition, RNA sequencing of the OzBarley elite panel was conducted using 4-day old seedlings germinated on filter paper (roots, embryo and coleoptile).Library preparation and sequencing was conducted at the Australian Genome Research Facility.SNP data from the chip and RNAseq data was combined and aligned to Barley cv. MorexV3.(refer to readme file for more details)<br><b>Transcript abundance (cpm_count files)</b><b>cpm_counts.tsv</b> and <b>cpm_count.xlsx</b> contain the results of an RNA-Seq experiment conducted on 217 barley accessions. The sequence reads were aligned to the <i>Morex v3</i> reference genome, followed by read counting and normalization. The read counts are expressed in CPM (counts per million reads). The final column provides gene annotations, which were obtained alongside the <i>Morex v3</i> genome assembly (version <b>Hv_Morex.pgsb.Jul2020</b>) from GrainGenes (https://wheat.pw.usda.gov/GG3/).<b>SNP effects (snp_description file)</b>SNPs identified from the RNA-Seq data were combined with genotype calls obtained using the Illumina XT Wheat-Barley SNP chip. The file <b>snp_description.csv</b> provides information on the genomic location of each SNP and their predicted effects on genes. Variant effects were determined using the <b>SnpEff</b> software (https://pcingola.github.io/SnpEff/). For detailed explanations of the effect terms used, refer to Table 2 in the publication by Cingolani et al. (2012): https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3679285/<b>OzBarley pedigree:</b>The OzBarley elite panel pedigree is provided in txt format for import and display in Helium software (https://github.com/cardinalb/helium-docs/wiki).<b>OzBarley Multi-Crop Passport Descriptors: </b>OzBarley lines were described according to the Multi-Crop Passport Descriptor convention (https://hdl.handle.net/10568/105205). Data is provided in Excel format and can also be accessed on the OzBarley Germinate instance (https://ozbarley.plantphenomics.org.au/).<b>Supplementary Table 1</b>A file containing the OzBarley IDs and cultivar names to match the phylogenetic network analysis presented in the OzBarley manuscript (Figure 4)
DOI: 10.15468/dl.b5mppq
title: Occurrence Download

description: A dataset containing 1106912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1106912 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015049-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.