cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/25727
title: Chandra X-ray Observatory ObsId 25727

description: Illuminating a massive node in the Cosmic Web at redshift 3
DOI: 10.25574/27692
title: Chandra X-ray Observatory ObsId 27692

description: Assembling the most massive galaxy clusters: AGN and environment in HS1549+19 at z=2.9
DOI: 10.15468/dl.ychdub
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polydora nuchalis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023057-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/ak84-wm53
title: "Geometric Dependence of Wave Velocity in Carotid Arteries: Phantom and Finite Element Study"

description: "Objective: The intrinsic elasticity and the structural stiffness of blood vessels are widely regarded as important biomarkers for prediction of cardiovascular disease risk, the leading cause of death worldwide. Ultrasound-based shear wave elastography (SWE) has been used to measure these properties in several clinical studies. However, the geometric properties of blood vessels complicate the relationship between wave speed and elasticity in blood vessels compared to bulk tissue. Here we quantify these effects with a semi-analytical finite element (SAFE) model and ultrasound experiments and discuss their implications for the vascular \u201cshear wave\u201d (better described as \u201cguided wave\u201d) elastography literature.Methods: A previously developed SAFE model was employed to simulate wave propagation after insonification with an acoustic radiation force (ARF) in 4,437 combinations of vascular geometry and elasticity. Group velocities were extracted and underwent processing analogous to what a SWE-equipped ultrasound scanner would perform to estimate Young\u2019s modulus (), and were compared to the true Young\u2019s modulus used in the simulation. Additionally, 23 polyvinyl alcohol cryogel tubes of different geometries and elasticities were constructed and underwent ARF-based SWE and reference inflation-based mechanical testing. Wave speeds were converted to Young\u2019s modulus using the same method as in the finite element study and were compared with the Young\u2019s modulus obtained from mechanical testing.Results: Both the SAFE simulations and PVA tube ultrasound experiments confirm the dependence of wave speed on vascular geometry which leads to a severe, geometry-dependent underestimation of Young\u2019s modulus if geometry is not considered. "
DOI: 10.17026/ar/xoj18z
title: PAN-00105142 - coin/coin-related, ?, munt ? (nummus/aes III ?)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00105142&lt;/p&gt;
description: Modified: 2025-06-02T05:55:33+02:00
DOI: 10.6084/m9.figshare.30596084
title: A Multiclass Dataset for Real-Time Fresh and Defective Vegetables

description: The VegQual dataset contains <b>4,736</b> high-quality, annotated images of <b>14 </b>commonly used vegetables, captured under real-world conditions. The images include variations in angles, backgrounds, distances, and lighting, providing a diverse and challenging resource for training and evaluating deep learning–based object detection models. Each image has been carefully annotated using bounding boxes in TXT (YOLO) format, incorporating both class IDs and normalized bounding box coordinates. These annotations enable precise object localization and are fully compatible with major deep learning frameworks. All annotations were created using the Roboflow platform, ensuring consistency, accuracy, and high-quality labeling standards.To achieve a better learning procedure, the dataset has been split into three sub-datasets: training, validation, and testing. The training dataset constitutes <b>70%</b> of the entire dataset, with validation and testing at <b>20%</b> and <b>10%</b> respectively. In addition, all images undergo scaling to a standard of <b>640x640</b> pixels while being auto-oriented to rectify rotation discrepancies brought about by the EXIF metadata. The dataset is structured in three main folders - train, valid, and test, and each contains images/ and labels/ subfolders. Every image contains a label file containing class and bounding box data corresponding to each detected object. The whole dataset features <b>1,</b><b>1407 </b>labeled instances per 14 categories. The dataset provides a valuable benchmark for research in computer vision, deep learning, agricultural automation, and food quality assessment. It supports advancements in real-time classification and defect detection of vegetables, contributing to innovation in sustainable food production and intelligent agricultural systems.
DOI: 10.6084/m9.figshare.30596084.v2
title: A Multiclass Dataset for Real-Time Fresh and Defective Vegetables

description: The VegQual dataset contains <b>4,736</b> high-quality, annotated images of <b>14 </b>commonly used vegetables, captured under real-world conditions. The images include variations in angles, backgrounds, distances, and lighting, providing a diverse and challenging resource for training and evaluating deep learning–based object detection models. Each image has been carefully annotated using bounding boxes in TXT (YOLO) format, incorporating both class IDs and normalized bounding box coordinates. These annotations enable precise object localization and are fully compatible with major deep learning frameworks. All annotations were created using the Roboflow platform, ensuring consistency, accuracy, and high-quality labeling standards.To achieve a better learning procedure, the dataset has been split into three sub-datasets: training, validation, and testing. The training dataset constitutes <b>70%</b> of the entire dataset, with validation and testing at <b>20%</b> and <b>10%</b> respectively. In addition, all images undergo scaling to a standard of <b>640x640</b> pixels while being auto-oriented to rectify rotation discrepancies brought about by the EXIF metadata. The dataset is structured in three main folders - train, valid, and test, and each contains images/ and labels/ subfolders. Every image contains a label file containing class and bounding box data corresponding to each detected object. The whole dataset features <b>1,</b><b>1407 </b>labeled instances per 14 categories. The dataset provides a valuable benchmark for research in computer vision, deep learning, agricultural automation, and food quality assessment. It supports advancements in real-time classification and defect detection of vegetables, contributing to innovation in sustainable food production and intelligent agricultural systems.
DOI: 10.6084/m9.figshare.30596084.v1
title: A Multiclass Dataset for Real-Time Fresh and Defective Vegetables

description: The VegQual dataset contains <b>4,736</b> high-quality, annotated images of <b>14 </b>commonly used vegetables, captured under real-world conditions. The images include variations in angles, backgrounds, distances, and lighting, providing a diverse and challenging resource for training and evaluating deep learning–based object detection models. Each image has been carefully annotated using bounding boxes in TXT (YOLO) format, incorporating both class IDs and normalized bounding box coordinates. These annotations enable precise object localization and are fully compatible with major deep learning frameworks. All annotations were created using the Roboflow platform, ensuring consistency, accuracy, and high-quality labeling standards.To achieve a better learning procedure, the dataset has been split into three sub-datasets: training, validation, and testing. The training dataset constitutes <b>70%</b> of the entire dataset, with validation and testing at <b>20%</b> and <b>10%</b> respectively. In addition, all images undergo scaling to a standard of <b>640x640</b> pixels while being auto-oriented to rectify rotation discrepancies brought about by the EXIF metadata. The dataset is structured in three main folders - train, valid, and test, and each contains images/ and labels/ subfolders. Every image contains a label file containing class and bounding box data corresponding to each detected object. The whole dataset features <b>1,</b><b>1407 </b>labeled instances per 14 categories. The dataset provides a valuable benchmark for research in computer vision, deep learning, agricultural automation, and food quality assessment. It supports advancements in real-time classification and defect detection of vegetables, contributing to innovation in sustainable food production and intelligent agricultural systems.
DOI: 10.15468/dl.sn67jn
title: Occurrence Download

description: A dataset containing 535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pomacanthus maculosus",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 535 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023061-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p13ubisn
title: Imidacloprid concentrations and trends in United States Rivers, 2013-2022

description: This data release presents model inputs and outputs to support an investigation of occurrence and temporal changes of imidacloprid from the U.S. Geological Survey National Water Quality Network spanning 77 sites between 2013 and 2022. Imidacloprid is a neonicotinoid insecticide used to control a wide range of agricultural and non-agricultural insect pests. The Seasonal Wave and Adjustment for Streamflow (SEAWAVE-Q) model was used by employing the R package 'seawaveQ'. Model input data include imidacloprid concentration results (n = 12,547) and daily streamflow data between 2012 and 2022 for each site. Model output data include the percentage and concentration change in imidacloprid for each site from 2013 to 2022, the trend likelihood, and model parameters as well as model-predicted annual loads of imidacloprid for each site. The SEAWAVE-Q model was applied to raw concentration data as well as concentrations corrected for changes in recovery from laboratory reagent spike samples.
DOI: 10.15468/dl.z4fzgd
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Richterago hatschbachii, Actinoseris hatchbachii)"
 ]
}

 The dataset includes 58 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023062-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17792861
title: Deep Transfer Learning Projections of Emission-Dependent Habitat Collapse for the Persian Oak
DOI: 10.5281/zenodo.17792862
title: Deep Transfer Learning Projections of Emission-Dependent Habitat Collapse for the Persian Oak
DOI: 10.17026/ar/sh1tz0
title: PAN-00052319 - Roman decorative rivet

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00052319&lt;/p&gt;
description: Modified: 2025-08-29T16:58:29+02:00
DOI: 10.34740/kaggle/dsv/13963245
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.dx9uzc
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Protula balboensis",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 29 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023064-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7hugf
title: Occurrence Download

description: A dataset containing 70615 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ursus arctos"
 ]
}

 The dataset includes 70615 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023024-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scjv5w
title: Occurrence Download

description: A dataset containing 21504128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 21504128 records from 2400 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016122-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpx643
title: Occurrence Download

description: A dataset containing 4140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rastrelliger kanagurta (Cuvier, 1816)"
 ]
}

 The dataset includes 4140 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031358-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6c5z3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Synallaxis albilora simoni Hellmayr, 1907"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131783-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ruc7j2
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saussurea polystichoides Hook.fil."
 ]
}

 The dataset includes 42 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115137-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kc44r7
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "TaxonKey is Anopheles benarrochi B"
 ]
}

 The dataset includes 49 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031359-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vv3uec
title: Occurrence Download

description: A dataset containing 10553513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 10553513 records from 2043 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0351921-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpphxf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galaxea irregularis (Milne Edwards & Haime, 1848)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105888-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-65673
title: Redemption tidings, vol. 46, nos. 1-53, 1 Jan. - 31 Dec. 1970

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.cfg7ej
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Malaconotus gladiator",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 71 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075807-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbyaxa
title: Occurrence Download

description: A dataset containing 1262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "Geometry MULTIPOLYGON (((45.13638 -12.99250, 45.12416 -12.99139, 45.09750 -12.98583, 45.07000 -12.95722, 45.06055 -12.89639, 45.06305 -12.89306, 45.06721 -12.89056, 45.08028 -12.88972, 45.08639 -12.89056, 45.09138 -12.89250, 45.09528 -12.90195, 45.09611 -12.90778, 45.09944 -12.91056, 45.11311 -12.90128, 45.11594 -12.90211, 45.11927 -12.90211, 45.12327 -12.89894, 45.12494 -12.89244, 45.12411 -12.88528, 45.10361 -12.82833, 45.05833 -12.75083, 45.04194 -12.74084, 45.03999 -12.73611, 45.03916 -12.71334, 45.04527 -12.69528, 45.07889 -12.66250, 45.20833 -12.72750, 45.22277 -12.73944, 45.23027 -12.75222, 45.22916 -12.75750, 45.20499 -12.84972, 45.17638 -12.92089, 45.17722 -12.92822, 45.17805 -12.93139, 45.18111 -12.97139, 45.13638 -12.99250)), ((45.27777 -12.80500, 45.27277 -12.79695, 45.26888 -12.78750, 45.26250 -12.76889, 45.26389 -12.76500, 45.26666 -12.76083, 45.27277 -12.75361, 45.27638 -12.75000, 45.28305 -12.74750, 45.28666 -12.75000, 45.29083 -12.76417, 45.29333 -12.78167, 45.29194 -12.78695, 45.28249 -12.80417, 45.27777 -12.80500)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1262 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073196-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-65563
title: Redemption tidings, vol. 46, nos. 1-53, 1 Jan. - 31 Dec. 1970

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.but886
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gennadas kempi Stebbing, 1914"
 ]
}

 The dataset includes 87 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120009-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-65677
title: Redemption tidings, vol. 46, nos. 1-53, 1 Jan. - 31 Dec. 1970

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.nx9e8r
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Malaconotus monteiri",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075813-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3i6ly
title: Occurrence Download

description: A dataset containing 1543 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sagotia Baill."
 ]
}

 The dataset includes 1543 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033408-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bt6hc
title: Occurrence Download

description: A dataset containing 1305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-87.6053143000000034 41.7517112000000026, -87.6053143000000034 41.7553399700000014, -87.6053143000000034 41.7578228200000012, -87.6053143000000034 41.7620245499999996, -87.6053143000000034 41.7643164099999993, -87.6053143000000034 41.7673722199999986, -87.6053143000000034 41.7708099999999973, -87.5999772899999982 41.7708099999999973, -87.5938783000000001 41.7708099999999973, -87.5891134700000009 41.7708099999999973, -87.5854917999999998 41.7708099999999973, -87.5854917999999998 41.7675631999999979, -87.5854917999999998 41.7650803599999989, -87.5854917999999998 41.7608786199999997, -87.5854917999999998 41.7583957800000007, -87.5854917999999998 41.7545760200000018, -87.5854917999999998 41.7517112000000026, -87.5908288100000050 41.7517112000000026, -87.5959748300000030 41.7517112000000026, -87.5990243199999981 41.7517112000000026, -87.6030267799999933 41.7517112000000026, -87.6053143000000034 41.7517112000000026))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 1305 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0086998-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-65585
title: Redemption tidings, vol. 46, nos. 1-53, 1 Jan. - 31 Dec. 1970

description: [description english/roman)] Issued weekly.
DOI: 10.25549/pcra-c14-65543
title: Redemption tidings, vol. 46, nos. 1-53, 1 Jan. - 31 Dec. 1970

description: [description english/roman)] Issued weekly.
DOI: 10.15468/dl.af7taa
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-93.0155811949695 17.62642638675686,-91.08148377376604 17.62642638675686,-91.08148377376604 19.560523807960323,-93.0155811949695 19.560523807960323,-93.0155811949695 17.62642638675686))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyporhamphus unifasciatus (Ranzani, 1841)"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127184-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.