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

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alboglossiphonia weberi"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007711-251025141854904/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.29654777
title: Nanomaterial signatures program biomolecular condensates via triphasic separation for chemoplasticity remodeling

description: Biorender License: license for icons appeared in Figures;
Source data
Supplementary Table: proteomic results
Uncropped gel or chip
DOI: 10.6084/m9.figshare.29654777.v1
title: Nanomaterial signatures program biomolecular condensates via triphasic separation for chemoplasticity remodeling

description: Biorender License: license for icons appeared in Figures;
Source data
Supplementary Table: proteomic results
Uncropped gel or chip
DOI: 10.60719/aphrc-2025-039
title: Using innovative participatory methods to stimulate dialogue on the right to food for the urban poor, Nairobi, Kenya, Right to Food_Wave 1

description: The right to adequate food is a human right recognized under international legal frameworks. It protects the right of all human beings to feed themselves in dignity through food production or purchases. Although it is provided for in the 2010 Kenyan Constitution, many Kenyans do not enjoy it. In urban informal settlements, about 80% of households are food insecure and the prevalence of chronic malnutrition among children under five years is close to 50%. This underscores the need to promote the right to food. Through a Fellowship from the Wellcome Trust, the African Population and Health Research Center (APHRC) is implementing the “Right to Food Project” over two years from January 2018 to December 2019. The core objective of the project is to stimulate dialogue on the nexus between the right to food as stipulated in the international legal framework and the Bill of Rights in the Kenyan Constitution, and the lived experiences with food insecurity among urban poor populations as evidenced by research. The project was undertaken in Nairobi, targeting urban poor communities. The project used innovative, public engagement approaches including photovoice, digital storytelling, cellphilming, community dialogues and focus group discussions among other approaches. The target group included urban communities and change agents including policy/decision/law makers. The results provided a deeper understanding to vulnerability to food insecurity for the urban poor in Nairobi through the eyes of the community, and propose potential solutions. The public engagement is critical in empowering those most affected to voice their health problems in ways most relevant to them and to contribute in shaping solutions to the problems. The results will inform actualization of the right to food for the urban poor as envisaged in the Universal Declaration of Human Rights.
DOI: 10.5281/zenodo.17480622
title: Animal Intrusion Detection Balanced Dataset
DOI: 10.5281/zenodo.17480623
title: Animal Intrusion Detection Balanced Dataset
DOI: 10.6084/m9.figshare.29604653
title: BRCA2 Deficiency and Replication Stress Drive APOBEC3- Mediated Genomic Instability

description: This is the source data for the Figures presented in our manuscript. There are two files - one for the Main Figures and one for the Supplementary Figures.
DOI: 10.6084/m9.figshare.29604653.v1
title: BRCA2 Deficiency and Replication Stress Drive APOBEC3- Mediated Genomic Instability

description: This is the source data for the Figures presented in our manuscript. There are two files - one for the Main Figures and one for the Supplementary Figures.
DOI: 10.15468/dl.rcatfj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Selenobrachys philippinus"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007712-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxb6qq
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Moschus berezovskii"
 ]
}

 The dataset includes 162 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007713-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8n7ur2
title: Occurrence Download

description: A dataset containing 1976 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Trawl-survey data from the Pipeta Expedition in the Adriatic Sea (Mediterranean) collected in 1982"
 ]
}

 The dataset includes 1976 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007714-251025141854904/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.25726704
title: <b>IMLP: Iranian Motorcycle License Plates</b>

description: The <b>Iranian Motorcycle License Plates (IMLP) dataset</b> includes <b>1089 different images of motorcycles</b>, containing in total <b>1191 Iranian motorcycle license plates</b>. These images were captured and collected from the cities of <b>Islamabad Gharb, Kermanshah, Karaj, and Tehran</b>, and some were also obtained from the <b>Instagram social network</b>. Initially, motorcycles were filmed, and then one or two frames were selected for the dataset. The final images were randomly chosen from over <b>50,000 frames</b>.The dataset was built to ensure <b>diversity in conditions</b>:Captured using different cameras (Samsung S23 Ultra, Xiaomi Note 10 5G, Xiaomi Note 11s, Samsung J6, and several other mobile phones, as well as social network images).Collected from <b>different angles, distances, and lighting conditions</b> (daytime and nighttime).For annotation and benchmarking, <b>deep learning networks YOLOv8, SSD, and Faster-RCNN</b> were employed. The motorcycle plates were identified in a <b>two-stage process</b>:<b>Detection</b> of the plate region.<b>Recognition (OCR)</b> of the digits.The dataset is organized into two main parts: <b>Detect</b> and <b>OCR</b>, each containing <b>train, test, and validation splits</b>. Every folder includes images and annotations compatible with <b>YOLOv8, SSD, and Faster-RCNN</b>. In addition, <b>implementation files</b> for these networks are provided to facilitate reproducibility.This dataset and the associated Python code are linked to the following peer-reviewed publication:<b>Article:</b> <i>Deep Learning Based System for Automatic Motorcycle License Plates Detection and Recognition</i> <b>Authors:</b> Abdolhossein Fathi, Babak Moradi, Iman Zarei, Afshin Shirbandi <b>Journal:</b> <i>Signal, Image and Video Processing (Springer)</i>, Volume 18, Pages 8869–8879, 2024 <b>DOI:</b> https://doi.org/10.1007/s11760-024-03514-5<br>In this article, the IMLP dataset was introduced and evaluated using YOLOv8, SSD, and Faster-RCNN. The results demonstrated that <b>YOLOv8 achieved the best performance</b>, with <b>98.5% accuracy in the detection stage</b> and <b>99% accuracy in the recognition stage</b>. The dataset and source code are made publicly available to support further research in <b>intelligent transportation systems (ITS)</b>, particularly in the context of <b>motorcycle license plate detection and recognition</b>.
DOI: 10.6084/m9.figshare.25726704.v2
title: <b>IMLP: Iranian Motorcycle License Plates</b>

description: The <b>Iranian Motorcycle License Plates (IMLP) dataset</b> includes <b>1089 different images of motorcycles</b>, containing in total <b>1191 Iranian motorcycle license plates</b>. These images were captured and collected from the cities of <b>Islamabad Gharb, Kermanshah, Karaj, and Tehran</b>, and some were also obtained from the <b>Instagram social network</b>. Initially, motorcycles were filmed, and then one or two frames were selected for the dataset. The final images were randomly chosen from over <b>50,000 frames</b>.The dataset was built to ensure <b>diversity in conditions</b>:Captured using different cameras (Samsung S23 Ultra, Xiaomi Note 10 5G, Xiaomi Note 11s, Samsung J6, and several other mobile phones, as well as social network images).Collected from <b>different angles, distances, and lighting conditions</b> (daytime and nighttime).For annotation and benchmarking, <b>deep learning networks YOLOv8, SSD, and Faster-RCNN</b> were employed. The motorcycle plates were identified in a <b>two-stage process</b>:<b>Detection</b> of the plate region.<b>Recognition (OCR)</b> of the digits.The dataset is organized into two main parts: <b>Detect</b> and <b>OCR</b>, each containing <b>train, test, and validation splits</b>. Every folder includes images and annotations compatible with <b>YOLOv8, SSD, and Faster-RCNN</b>. In addition, <b>implementation files</b> for these networks are provided to facilitate reproducibility.This dataset and the associated Python code are linked to the following peer-reviewed publication:<b>Article:</b> <i>Deep Learning Based System for Automatic Motorcycle License Plates Detection and Recognition</i> <b>Authors:</b> Abdolhossein Fathi, Babak Moradi, Iman Zarei, Afshin Shirbandi <b>Journal:</b> <i>Signal, Image and Video Processing (Springer)</i>, Volume 18, Pages 8869–8879, 2024 <b>DOI:</b> https://doi.org/10.1007/s11760-024-03514-5<br>In this article, the IMLP dataset was introduced and evaluated using YOLOv8, SSD, and Faster-RCNN. The results demonstrated that <b>YOLOv8 achieved the best performance</b>, with <b>98.5% accuracy in the detection stage</b> and <b>99% accuracy in the recognition stage</b>. The dataset and source code are made publicly available to support further research in <b>intelligent transportation systems (ITS)</b>, particularly in the context of <b>motorcycle license plate detection and recognition</b>.
DOI: 10.6084/m9.figshare.25726704.v1
title: <b>IMLP: Iranian Motorcycle License Plates</b>

description: The database introduced includes 1089 different images of Iranian motorcycles, which in total contain 1191 images of Iranian motorcycle license plates. These images were captured and collected from the cities of Islamabad Gharb, Kermanshah, Karaj, and Tehran, and some of these images were also posted on the Instagram social network. Initially, the motorcycles were filmed, and then one or two frames were selected for the database. The images were randomly selected from over 50,000 frames. Additionally, these images were captured using different cameras (Samsung S23 Ultra, Xiaomi Note 10 5g, Xiaomi Note 11s, Samsung J6, and several other mobile phones, as well as images from social networks with different qualities), from different angles, at different distances, and under different lighting conditions.Furthermore, using deep learning networks YOLOv8, SSD, and Faster-RCNN, the motorcycle plates were identified in two stages and then recognized (OCR). The database contains two stages of information: Detect and OCR, with each folder containing train, test, and validation data. Each of these folders includes images and annotations for YOLOv8, SSD, and Faster-RCNN networks. The implementation files for YOLOv8, SSD, and Faster-RCNN networks are also included.<br>
DOI: 10.15468/dl.fk9gv4
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Derris montana Benth.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 95 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014100-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5q86pu
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-61.65933 57.44145,-149.84251 61.50543,-124.23773 27.93436,-62.05932 25.02607,-49.14077 54.42336,-61.65933 57.44145))",
 "TaxonKey is Eriocheir sinensis H.Milne Edwards, 1853"
 ]
}

 The dataset includes 126 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008370-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcmf4r
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panax stipuleanatus C.T.Tsai & K.M.Feng"
 ]
}

 The dataset includes 26 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035716-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9z73u2
title: Occurrence Download

description: A dataset containing 2350 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tapirus pinchaque (Roulin, 1829)"
 ]
}

 The dataset includes 2350 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050391-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ziux2x
title: Occurrence Download

description: A dataset containing 482647 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aphantopus hyperantus (Linnaeus, 1758)"
 ]
}

 The dataset includes 482647 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012047-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e84jwn
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Berberis kawakamii Hayata"
 ]
}

 The dataset includes 444 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035718-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27jwhj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron bonvalotii Franch."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0214917-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jf4jzf
title: Occurrence Download

description: A dataset containing 1828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothriechis schlegelii (Berthold, 1846)"
 ]
}

 The dataset includes 1828 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229407-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehuram
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acaena argentea Ruiz & Pav.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 37 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012047-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hgvn2
title: Occurrence Download

description: A dataset containing 109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "TaxonKey is Mnemiopsis leidyi A.Agassiz, 1865"
 ]
}

 The dataset includes 109 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0275715-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2rvns
title: Occurrence Download

description: A dataset containing 25799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.94141 0.28124,-68.37891 0,-68.66016 36.59787,-122.94141 35.46067,-122.94141 0.28124))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crax rubra Linnaeus, 1758"
 ]
}

 The dataset includes 25799 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259239-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sp4yzz
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Semiothisa signaria (Hubner, 1809)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393543-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uajerk
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "TaxonKey is Ctenosaura pectinata (Wiegmann, 1834)"
 ]
}

 The dataset includes 968 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012047-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3q5r2
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus dahlbomii Guérin-Méneville, 1835",
 "Year 2001-2021"
 ]
}

 The dataset includes 238 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240553-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jj94b
title: Occurrence Download

description: A dataset containing 4278 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Antigone canadensis (Linnaeus, 1758)",
 "Year 2011-2018"
 ]
}

 The dataset includes 4278 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245578-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mnq2y
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tupaia glis (Diard, 1820)"
 ]
}

 The dataset includes 246 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0238960-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sz8ot
title: Occurrence Download

description: A dataset containing 2347 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Cerastium gracile Dufour",
 "TaxonKey is Cerastium illyricum Ard.",
 "TaxonKey is Cerastium ligusticum Viv.",
 "TaxonKey is Cerastium mollissimum Poir."
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2347 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012048-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2zdbs
title: Occurrence Download

description: A dataset containing 5510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plethodon teyahalee Hairston, 1950"
 ]
}

 The dataset includes 5510 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016165-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yajhxj
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008365-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9fmlo
title: Occurrence Download

description: A dataset containing 172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acalypha lanceolata Willd.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 172 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012049-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yut54
title: Occurrence Download

description: A dataset containing 532 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN",
 "TaxonKey is Corylus heterophylla Fisch. ex Trautv."
 ]
}

 The dataset includes 532 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009606-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.frmqdf
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Croton lechleri Müll.Arg."
 ]
}

 The dataset includes 347 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012658-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.