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

description: A dataset containing 3778827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is ff90b050-c256-11db-b71b-b8a03c50a862",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 3778827 records from 629 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040408-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrezdr
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geonoma weberbaueri"
 ]
}

 The dataset includes 123 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040418-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fgehz
title: Occurrence Download

description: A dataset containing 723 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Sistemática y biogeografía del género Xenosaurus (Squamata: xenosauridae)"
 ]
}

 The dataset includes 723 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040419-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88abc2
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cronquistianthus celendinensis"
 ]
}

 The dataset includes 15 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040421-251025141854904/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.30643805
title: A hybrid machine learning model decodes the complexity of rice nitrogen responses amidst climate change in the Yangtze Delta, China

description: We integrate multi-source data—including 162 field experiments, climate variables, and soil properties—to develop a hybrid random-forest and economic-benefit model that quantifies rice basal yield, the highest-yield nitrogen (N) rate (YHNR), and the economically optimal N rate (EONR) in the Yangtze River Delta (YRD), and projects their changes under future climate scenarios.
DOI: 10.6084/m9.figshare.30643805.v1
title: A hybrid machine learning model decodes the complexity of rice nitrogen responses amidst climate change in the Yangtze Delta, China

description: We integrate multi-source data—including 162 field experiments, climate variables, and soil properties—to develop a hybrid random-forest and economic-benefit model that quantifies rice basal yield, the highest-yield nitrogen (N) rate (YHNR), and the economically optimal N rate (EONR) in the Yangtze River Delta (YRD), and projects their changes under future climate scenarios.
DOI: 10.15468/dl.s3kdy8
title: Occurrence Download

description: A dataset containing 2557 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, North America, Europe, Oceania, Asia, Antarctica, Africa)",
 "Country is one of (Poland, United States of America, Italy, Lithuania, Estonia, Germany, Finland, Latvia, Korea, Republic of, Viet Nam)",
 "TaxonKey is Microcystis aeruginosa"
 ]
}

 The dataset includes 2557 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040420-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfr9rn
title: Occurrence Download

description: A dataset containing 1107474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sus scrofa"
 ]
}

 The dataset includes 1107474 records from 3238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040384-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110829350
title: Persepolis Fortification Elamite Tablet 1225, PF 1225

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1225 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge? Reverse, upper edge. ❧ [Physical Object Note:] Many black spots on tablet.
DOI: 10.25549/inscriptifact-ouc110829727
title: Persepolis Fortification Elamite Tablet 1225, PF 1225

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1225 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge? Reverse, upper edge. ❧ [Physical Object Note:] Many black spots on tablet.
DOI: 10.25549/inscriptifact-ouc110829722
title: Persepolis Fortification Elamite Tablet 1225, PF 1225

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1225 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge? Reverse, upper edge. ❧ [Physical Object Note:] Many black spots on tablet.
DOI: 10.25549/inscriptifact-ouc110829587
title: Persepolis Fortification Elamite Tablet 1225, PF 1225

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1225 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge? Reverse, upper edge. ❧ [Physical Object Note:] Many black spots on tablet.
DOI: 10.25549/inscriptifact-ouc110829569
title: Persepolis Fortification Elamite Tablet 1225, PF 1225

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1225 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge? Reverse, upper edge. ❧ [Physical Object Note:] Many black spots on tablet.
DOI: 10.25549/inscriptifact-ouc110829544
title: Persepolis Fortification Elamite Tablet 1225, PF 1225

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] PF 1225 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge? Reverse, upper edge. ❧ [Physical Object Note:] Many black spots on tablet.
DOI: 10.25549/inscriptifact-ouc110828928
title: Persepolis Fortification Elamite Tablet 0831, PF 0831

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF 0831 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge. ❧ [Physical Object Note:] Damage on left edge, cracks and damage on obverse. Crack on right edge, upper edge.
DOI: 10.25549/inscriptifact-ouc110828837
title: Persepolis Fortification Elamite Tablet 0831, PF 0831

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF 0831 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge. ❧ [Physical Object Note:] Damage on left edge, cracks and damage on obverse. Crack on right edge, upper edge.
DOI: 10.25549/inscriptifact-ouc110828828
title: Persepolis Fortification Elamite Tablet 0831, PF 0831

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] PF 0831 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge. ❧ [Physical Object Note:] Damage on left edge, cracks and damage on obverse. Crack on right edge, upper edge.
DOI: 10.15468/dl.kvm8ay
title: Occurrence Download

description: A dataset containing 154703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oncorhynchus mykiss",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 154703 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013368-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.35618
title: The raw resistivity, Hall, and synchrotron diffraction data of FeSe
title: The raw resistivity, Hall, and synchrotron diffraction data of FeSe

description: The raw resistivity, Hall, and synchrotron diffraction data of FeSe
description: The raw resistivity, Hall, and synchrotron diffraction data of FeSe
DOI: 10.6084/m9.figshare.31047943
title: Annotated dataset for YOLO models for Date palm tree detection

description: Date palm cultivation is a cornerstone of the UAE’s cultural heritage and economy, supporting nearly 40 million trees across diverse arid landscapes. However, pests, diseases, and environmental stress threaten yield stability. Accurate, large-scale detection and monitoring of individual palms remain challenging due to complex plantation structures and harsh conditions. This study leverages advances in deep learning and open-source satellite imagery to develop a scalable, cost-effective approach for precise date palm identification and enumeration. We designed an AI-driven framework employing the YOLOv11-Medium model trained on 215 manually annotated and augmented satellite images from Google Earth, covering diverse plantation types and environments. Utilizing <i>Roboflow</i> for annotation and dataset generation, the model incorporated advanced multi-scale feature extraction and spatial attention modules. Training spanned 100 epochs on 15084 labelled instances, with five different classes viz., Field crops, Fruit Trees, Greenhouses, Other vegetation and Date palm trees with comprehensive validation and comparative evaluation against recent YOLO variants. YOLOv11-Medium with transfer learning achieved outstanding performance with 90.3% mAP@50, and an accuracy of 79% outperforming YOLOv8, YOLOv12, and YOLO-NAS. Precision Recall, F1score and Accuracy indicate the superior performance of YOLOv11-Medium model in object detection of date palm trees. Qualitative assessment showed high accuracy in both sparse and dense plantations, with minor limitations in overlapping canopies, multiple classes in a parcel and shaded areas. Our YOLOv11-Medium trained with transfer learning demonstrates a robust, efficient solution for automated large-scale date palm monitoring in arid regions. Its architectural innovations and stable training performance highlight its potential for integration into precision agriculture.
DOI: 10.6084/m9.figshare.31047943.v1
title: Annotated dataset for YOLO models for Date palm tree detection

description: Date palm cultivation is a cornerstone of the UAE’s cultural heritage and economy, supporting nearly 40 million trees across diverse arid landscapes. However, pests, diseases, and environmental stress threaten yield stability. Accurate, large-scale detection and monitoring of individual palms remain challenging due to complex plantation structures and harsh conditions. This study leverages advances in deep learning and open-source satellite imagery to develop a scalable, cost-effective approach for precise date palm identification and enumeration. We designed an AI-driven framework employing the YOLOv11-Medium model trained on 215 manually annotated and augmented satellite images from Google Earth, covering diverse plantation types and environments. Utilizing <i>Roboflow</i> for annotation and dataset generation, the model incorporated advanced multi-scale feature extraction and spatial attention modules. Training spanned 100 epochs on 15084 labelled instances, with five different classes viz., Field crops, Fruit Trees, Greenhouses, Other vegetation and Date palm trees with comprehensive validation and comparative evaluation against recent YOLO variants. YOLOv11-Medium with transfer learning achieved outstanding performance with 90.3% mAP@50, and an accuracy of 79% outperforming YOLOv8, YOLOv12, and YOLO-NAS. Precision Recall, F1score and Accuracy indicate the superior performance of YOLOv11-Medium model in object detection of date palm trees. Qualitative assessment showed high accuracy in both sparse and dense plantations, with minor limitations in overlapping canopies, multiple classes in a parcel and shaded areas. Our YOLOv11-Medium trained with transfer learning demonstrates a robust, efficient solution for automated large-scale date palm monitoring in arid regions. Its architectural innovations and stable training performance highlight its potential for integration into precision agriculture.
DOI: 10.6084/m9.figshare.31047943.v2
title: Annotated dataset for YOLO models for Date palm tree detection

description: Date palm cultivation is a cornerstone of the UAE’s cultural heritage and economy, supporting nearly 40 million trees across diverse arid landscapes. However, pests, diseases, and environmental stress threaten yield stability. Accurate, large-scale detection and monitoring of individual palms remain challenging due to complex plantation structures and harsh conditions. This study leverages advances in deep learning and open-source satellite imagery to develop a scalable, cost-effective approach for precise date palm identification and enumeration. We designed an AI-driven framework employing the YOLOv11-Medium model trained on 215 manually annotated and augmented satellite images from Google Earth, covering diverse plantation types and environments. Utilizing <i>Roboflow</i> for annotation and dataset generation, the model incorporated advanced multi-scale feature extraction and spatial attention modules. Training spanned 100 epochs on 15084 labelled instances, with five different classes viz., Field crops, Fruit Trees, Greenhouses, Other vegetation and Date palm trees with comprehensive validation and comparative evaluation against recent YOLO variants. YOLOv11-Medium with transfer learning achieved outstanding performance with 90.3% mAP@50, and an accuracy of 79% outperforming YOLOv8, YOLOv12, and YOLO-NAS. Precision Recall, F1score and Accuracy indicate the superior performance of YOLOv11-Medium model in object detection of date palm trees. Qualitative assessment showed high accuracy in both sparse and dense plantations, with minor limitations in overlapping canopies, multiple classes in a parcel and shaded areas. Our YOLOv11-Medium trained with transfer learning demonstrates a robust, efficient solution for automated large-scale date palm monitoring in arid regions. Its architectural innovations and stable training performance highlight its potential for integration into precision agriculture.
DOI: 10.15468/dl.cmbzd7
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya patentipila"
 ]
}

 The dataset includes 117 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013377-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm8za4
title: Occurrence Download

description: A dataset containing 224 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Calystegia dahurica"
 ]
}

 The dataset includes 224 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013378-260108223611665/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.31072765
title: Table 1. Genome features of L. lactis B34-1-7-1.

description: Genome features of <i>L. lactis</i> B34-1-7-1.
DOI: 10.6084/m9.figshare.31072765.v2
title: Table 1. Genome features of L. lactis B34-1-7-1.

description: Genome features of <i>L. lactis</i> B34-1-7-1.
DOI: 10.6084/m9.figshare.31072765.v1
title: Table 1. Genome features of

description: Genome features of <i>L. lactis</i> B34-1-7-1.
DOI: 10.7910/dvn/0f4v7d
title: Dataset on Service Access, Socio‑Economic Status and Rehabilitation Needs among Persons with Disabilities in Changchun, China

description: This dataset contains information on 197,302 people with disabilities in Changchun, China. It captures 155 variables, which are grouped into nine domains: demographics; economic conditions; internet access; employment and skills; medical and rehabilitation needs; assistive devices; nursing care; accessibility modifications; and cultural and sports participation.
DOI: 10.15468/dl.qx523p
title: Occurrence Download

description: A dataset containing 1302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis mossambicus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1302 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013379-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fwk83
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aniseia biflora"
 ]
}

 The dataset includes 308 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013381-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6d8m2y
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis mossambicus",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013380-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.644yz6
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis mossambicus",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 23 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013382-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7vsct
title: Occurrence Download

description: A dataset containing 126196 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis stricta"
 ]
}

 The dataset includes 126196 records from 1060 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013336-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yr9kv
title: Occurrence Download

description: A dataset containing 585 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Youngia tenuifolia"
 ]
}

 The dataset includes 585 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013383-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qc44un
title: Occurrence Download

description: A dataset containing 4050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis mossambicus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4050 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013385-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwthzn
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eurya strigillosa"
 ]
}

 The dataset includes 465 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013387-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcm9ez
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Youngia heterophylla"
 ]
}

 The dataset includes 274 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013386-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23719/1527772
title: Data for changes in L.A. aerosols resulting from reductions in on-road vehicle emissions of NOx and VOCs

description: This data set contains a link to the VCPy model github repository containing data used in the manuscript by Schulz et al., ACS ES&T Air, 2025 (https://doi.org/10.1021/acsestair.5c00199).