cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15066574
title: EBSD and EDS dataset for: Dislocation creep of glaucophane in mafic blueschists during subduction: Weighted Burgers vector analysis from the Catalina Schist (California, USA)

description: Electron backscattered diffraction (EBSD) and energy-dispersive X-ray spectroscopy (EDS) data collected from Garnet Blueschist block sample, a polymetamorphic metabasaltic lawsonite blueschist emplaced in the melange of the Lawsonite Blueschist Unit of the Catalina Schist subduction complex on Pimu'nga (Santa Catalina Island, CA, USA; 33°22ʹN 118°28ʹW). A structurally oriented thin section (perpendicular to foliation, parallel to lineation, X-Z plane in section) was prepared from the sample. Mineral assemblage is glaucophane (55%) + lawsonite (15%) + phengite (<10%) + garnet (5%) + quartz (10%) + titanite (<5%) with minor apatite. Sample provided courtesy of Kayleigh Harvey and Sarah Penniston-Dorland.

25 files:

EBSD maps included (as .ctf text files):



GB15_02A: 3.8 x 3.1 mm (3.61 micrometer step size)

GB15_Region1: 0.5 x 0.35 mm (1 micrometer step size)

GB15_Region2: 0.5 x 0.35 mm (1 micrometer step size)

GB15_Region3: 0.5 x 0.35 mm (1 micrometer step size)

GB15_Region4: 0.5 x 0.35 mm (1 micrometer step size)

GB15_Region5: 0.5 x 0.35 mm (1 micrometer step size)

GB15_Region6: 0.5 x 0.35 mm (1 micrometer step size)


EDS maps included (as .tiff files):



GB15_Region3_Al_K1: 0.25 x 0.17 mm

GB15_Region3_Ca_K1: 0.25 x 0.17 mm

GB15_Region3_Fe_K1: 0.25 x 0.17 mm

GB15_Region3_K_K1: 0.25 x 0.17 mm

GB15_Region3_Mg_K12: 0.25 x 0.17 mm

GB15_Region3_Mn_K1: 0.25 x 0.17 mm

GB15_Region3_Na_K12: 0.25 x 0.17 mm

GB15_Region3_Si_Kalp: 0.25 x 0.17 mm

GB15_Region3_Ti_K1: 0.25 x 0.17 mm

GB15_Region5_Al_K1: 0.25 x 0.17 mm

GB15_Region5_Ca_K1: 0.25 x 0.17 mm

GB15_Region5_Fe_K1: 0.25 x 0.17 mm

GB15_Region5_K_K1: 0.25 x 0.17 mm

GB15_Region5_Mg_K12: 0.25 x 0.17 mm

GB15_Region5_Mn_K1: 0.25 x 0.17 mm

GB15_Region5_Na_K12: 0.25 x 0.17 mm

GB15_Region5_Si_Kalp: 0.25 x 0.17 mm

GB15_Region5_Ti_K1: 0.25 x 0.17 mm


Article: Dislocation creep of glaucophane in mafic blueschists during subduction: Weighted Burgers vector analysis from the Catalina Schist (California, USA), Published Gold Open Access in Geology: DOI:10.1130/G53025.1
DOI: 10.15468/dl.e74tne
title: Occurrence Download

description: A dataset containing 150743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-03-09",
 "EventDate is less than or equal to 2025-04-08",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 150743 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002686-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5883/ds-hmlpd
title: Halyna Gabrielczak, Adrian Filimon, Elena Stoica, Mikhail Son

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.
DOI: 10.15468/dl.8a4vh3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eurycotis caraibea (Bolívar, 1888)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002706-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3be5s
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euwallacea validus Wood & Bright, 1992",
 "HasCoordinate is true"
 ]
}

 The dataset includes 230 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002707-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2eywqr
title: Occurrence Download

description: A dataset containing 1017 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyanolyca mirabilis Nelson, 1903"
 ]
}

 The dataset includes 1017 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002708-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fhavq
title: Occurrence Download

description: A dataset containing 1867163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-74.57454 -12.51488,-73.53226 -14.12234,-71.53578 -14.32786,-71.40366 -13.32962,-70.54488 -12.28735,-71.93214 -11.38453,-73.98734 -11.56069,-74.57454 -12.51488))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1867163 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002691-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11267530
title: Balochi Language to English Translation Dataset
DOI: 10.34740/kaggle/dsv/11267490
title: microcredentials-ai
DOI: 10.25345/c53x83z4h
title: MassIVE MSV000097521 - Omics Insights into the Effects of Highbush Blueberry and Cranberry Crop Agroecosystems on Honey Bee Health and Physiology
title: Honey bees (Apis mellifera) are essential pollinators in agricultural systems, particularly in fruit-producing agroecosystems such as highbush blueberry and cranberry. However, their health is increasingly compromised by multiple interacting stressors, including pesticide exposure, pathogen infections, and changing nutritional landscapes. To test the hypothesis that distinct agricultural ecosystems, with different combinations of agrochemical exposure, pathogen loads, and floral resources, elicit ecosystem specific, tissue level molecular responses in honey bees, we conducted an integrated multiomics analysis. We combined RNA sequencing, quantitative proteomics, and gut microbiome profiling across three key tissues: head, abdomen, and gut collected from bees in blueberry and cranberry agroecosystems over two field seasons. In parallel, we quantified pesticide residues and pathogen and parasite loads (e.g., Nosema spp., Varroa destructor, and several viruses). Notably, our weighted gene co-expression network analysis (WGCNA) revealed tissue specific coregulated protein modules with ecosystem associated patterns. Bees from blueberry agroecosystems exhibited elevated expression of modules in oxidative phosphorylation, and translation, while those from cranberry agroecosystems showed increased activity in immune pathways and endoplasmic reticulum associated protein processing, indicating potential as robust markers for ecosystem induced physiological adaptation. To further explore the molecular mechanisms underlying different ecosystems, we also conducted the integrative analysis of proteomics, transcriptomics and gut microbiome metagenomics. Gut microbiota composition also differed significantly, with key genera (e.g., Gilliamella, Snodgrassella, Bartonella) correlating with host metabolic and immune modules. These findings underscore the complex, environment-dependent impacts of agroecosystem conditions on bee health. Our study provides a systems level understanding of how combined pesticide, pathogen, and parasitic stressors, mediated by diet and microbiome, shape molecular phenotypes in honey bees, informing strategies for pollinator protection in managed landscapes.
DOI: 10.15468/dl.whepvu
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blatta lateralis Serville, 1838",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002710-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdst2a
title: Occurrence Download

description: A dataset containing 870535 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is AntWeb"
 ]
}

 The dataset includes 870535 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002700-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6b9aw
title: Occurrence Download

description: A dataset containing 226488733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2023-2025"
 ]
}

 The dataset includes 226488733 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002677-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtq9j8
title: Occurrence Download

description: A dataset containing 3052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.24266 -12.78207,-73.25263 -14.30487,-71.65502 -14.23158,-69.8749 -13.45628,-71.10608 -12.19579,-73.83227 -11.94662,-74.24266 -12.78207))",
 "OccurrenceStatus is Present",
 "TaxonKey is Coeligena torquata (Boissonneau, 1840)"
 ]
}

 The dataset includes 3052 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002712-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsvzqv
title: Occurrence Download

description: A dataset containing 81358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Formicidae"
 ]
}

 The dataset includes 81358 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002704-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28726547
title: Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams

description: <b>Dataset Description for Figshare</b>This dataset supports the findings of the research titled:<b>"Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams"</b><b>Authors:</b> Ikenna Ekeke, Carlos Francisco Moreno-García, Eyad Elyan<br><b>Affiliation:</b> Robert Gordon University, Aberdeen, Scotland, UK<br><b>Date:</b> April 2025<b>Overview</b>The research presents an end-to-end deep learning framework combining <b>YOLOv8 object detection</b> with <b>attention mechanisms</b> to improve symbol recognition in electrical diagrams, followed by a <b>graph-based wiring algorithm</b> that automates wire routing between detected symbols. The system is tested across <b>proprietary and public datasets,</b> including:CGHD (Circuit Graph Hand-drawn Diagrams)DCD (Digital Circuit Diagrams)<b>Datasets Included</b>This data bundle includes the <b>primary data</b> used to generate figures and tables within the manuscript:Model performance metrics across different attention modules (Table 1 - Table 3).Class distribution tables (used in Figures 11a, 11b, 12a, 12b).Class-wise accuracy table (Table 4).Results of statistical analysis (Table 5, Duncan’s test).Validation Results on CGHD and DCD_Datasets (Table 6).Wiring algorithm evaluation metrics (Table 7).Each table is provided in <b>CSV format</b> that maps the data file to the corresponding figure or table in the paper.<b>Use Cases</b>This dataset is useful for:Benchmarking attention-based models for electrical symbol recognition.Studying the impact of class imbalance on detection accuracy.Reproducing automated wiring design evaluations using pathfinding algorithms.
DOI: 10.15468/dl.mb6wbp
title: Occurrence Download

description: A dataset containing 558189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Rubus idaeus L.",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 558189 records from 733 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002654-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/2298afda0086d745f87c78dd7ac0f12b
title: North Temperate Lakes LTER: Meteorological Data - Woodruff Airport 1989 - current

description: Meteorological measurements are being gathered at a site at the Noble F. Lee municipal airport located at Woodruff, WI for three purposes: 1) to supplement the data from the raft on Sparkling and Trout Lakes used for evaporation calculations, and 2) to provide standard meteorological measurements for the North Temperate Lakes site, and 3) to measure radiation for primary production studies in the study lakes at the site. The following parameters are measured at 1-minute intervals: 1) air temperature at 1.5 m above ground, 2) relative humidity at 1.5 m above ground, 3) wind speed and direction and peak wind speed at 3 m above ground, 4) total long-wave radiation, 5) total short-wave radiation, 6) photosynthetically active radiation (PAR), 7) total solar radiation, and 8) total precipitation. High resolution data is taken typically at 1 minute intervals as well as 1-hour and 24-hour averages. Half-hourly averages of PAR and shortwave radiation are also stored. Precipitation data can be acquired from the National Weather Service (Minocqua, WI). Derived data included in this data set include dew point temperature as well as daily minimum and maximum values for some parameters. Number of sites: 1. Date/time is Central Standard Time (GMT - 06:00) throughout the year.
 Crash of the data collection system resulted in the loss of most of the first half of 2024.
DOI: 10.15468/dl.e4mnju
title: Occurrence Download

description: A dataset containing 24336 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pygoscelis papua (J.R.Forster, 1781)"
 ]
}

 The dataset includes 24336 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002715-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cg2yq8
title: Occurrence Download

description: A dataset containing 24583 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Jardin botanique de Montréal (JBM)"
 ]
}

 The dataset includes 24583 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002716-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1130410.10fu
title: SH1130410.10FU

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/sh1130413.10fu
title: SH1130413.10FU

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/sh1130415.10fu
title: SH1130415.10FU

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/sh1130416.10fu
title: SH1130416.10FU

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/sh1130421.10fu
title: SH1130421.10FU

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/sh1130423.10fu
title: SH1130423.10FU

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/sh1130425.10fu
title: SH1130425.10FU

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.