cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.fy1hxj
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vicia tenuifolia Roth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "DatasetKey is Florabank1 - A grid-based database on vascular plant distribution in the northern part of Belgium (Flanders and the Brussels Capital region)"
 ]
}

 The dataset includes 16 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000867-150912100344238/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-46591
title: Bread making machine parts, Southern California, 1931

description: 18 photographs of bread making machine parts, Southern California, 1931. "Subject: Bread making machine parts; Agency: McCarty; Client: Axelson; Job: 7-21-111; Year: 1931; Original Print Order: 1 ea[ch]; Size: 8x10; Finish:P gl[ossy]; Re-order: 1 ea[ch] #6, 13, 1, 17, 18, 14, 2 ea[ch]; Size: 11x14, 5x7; Mount: dismounted, on white card, linens 11""-- on envelope front. "Operator's Report (Name): Joe; Original photographs- Size: 18, 8x10; Exposures: 3, [ilg] @ .50; Amount: 20.00, 1.50; Extra Charges: #4796" -- on envelope back.
DOI: 10.25549/whit-c170-46604
title: Boys heads (May Company), Southern California, 1931

description: 9 photographic portraits of three different boys, Southern California, 1931. "Subject: Boys heads (May Co[mpany]); Client: Whittington; Original Print Order: 1-; Size: 8x10; Finish: dull; Mount: 1/2' margin; Job: 8-1-2; Year: 1931" -- on envelope front.
DOI: 10.15468/dl.a6usrs
title: Occurrence Download

description: A dataset containing 5137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neotoma lepida Thomas, 1893",
 "Geometry POLYGON((-112.192382 27.839076,-122.167968 27.683528,-124.804687 39.774769,-125.112304 42.455887,-118.520507 42.293564,-114.301757 37.370157,-108.369140 37.230328,-108.676757 31.165809,-112.192382 27.839076))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5137 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000867-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-46605
title: Boys heads (May Company), Southern California, 1931

description: 9 photographic portraits of three different boys, Southern California, 1931. "Subject: Boys heads (May Co[mpany]); Client: Whittington; Original Print Order: 1-; Size: 8x10; Finish: dull; Mount: 1/2' margin; Job: 8-1-2; Year: 1931" -- on envelope front.
DOI: 10.15468/dl.zaz6wh
title: Occurrence Download

description: A dataset containing 684 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neosiphonia harveyi"
 ]
}

 The dataset includes 684 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000867-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whittington-ouc12088316
title: Truck drivers Don Mefill, Michael Owens, Los Angeles, Calif., 1942

description: 20 photographs showing two truck drivers at a construction site, Los Angeles, California, 1942 July 31. "See 5x7" -- on envelope. Lettering on the crane reads, "Consolidated Rock Products."
DOI: 10.15468/dl.jymrns
title: Occurrence Download

description: A dataset containing 1967 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontopodium alpinum Colmeiro ex Willk. & Lange"
 ]
}

 The dataset includes 1967 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000867-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-112399
title: Dickie Jones; Los Angeles, Calif., 1942

description: 19 photographs of a young boy performing various activities, Los Angeles, California, 1942 July 24. "Subject: Dickie Jones." "Client: Stock; Year: 1942; Job no. E7-24-13" -- on envelope fronts. "Operator's report -- name: Cross; Model (name): Dick Jones" -- on envelope back. The negative envelope indicates that the Whittington studio fulfilled 8 print orders and sold reproduction rights 3 times. Aside from portraits in different clothing, the actions performed by Jones are: showing the wing of a bird while holding it, mowing a lawn, holding a newspaper, showing a glass of liquid, cupping his mouth as if yelling, using a canning jar as a paint can to paint, sitting in a thinking posture, petting a dog, cleaning a rifle, riding a bicycle, and playing ping-pong.
DOI: 10.25549/whit-c170-79850
title: Intersection of Valley Boulevard and Block Place, Los Angeles, CA, 1935

description: 6 photographs of intersection of Valley Boulevard and Block Place, Los Angeles, CA, 1935. "Subject: Intersection of Valley B[ou]l[e]v[ar]d and Block Place, Fielding assured; Client: Universal Auto Ins[urance], Mr. Archer; Job: 9-13-72; Year: 1935; Original print order: 2 ea[ch] 3, 4, 2 ea[ch] 1, 2, 5, 6; Size: 11x14, 8x10; Finish: gl[ossy]" -- on envelope front. "Photographer: Joe; Original photographs- Size: 6, 8x10; Amount: 10.00" -- on envelope back.
DOI: 10.15468/dl.7ww43m
title: Occurrence Download

description: A dataset containing 1212994 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Achillea millefolium L.)"
 ]
}

 The dataset includes 1212994 records from 4158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004692-240506114902167/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/11044171
title: Daftar Pengadilan Indonesia
DOI: 10.15468/dl.76a477
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liposcelis fusciceps Badonnel, 1968",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010405-250310093411724/datasets/export for details.
DOI: 10.5281/zenodo.15032724
title: Brazilian Political Demonstration Dataset

description: Description

The Brazilian Political Protest Dataset (Annotated Tweets) is a collection of 5,000 manually labeled tweets related to protests in Brazil on September 7, 2021, and subsequent demonstrations in the following days. The dataset captures public discourse on Twitter, including opinions, news, and media content shared by users supporting and opposing the protests.

To collect the dataset, we used a keyword-based approach, selecting terms that were trending in Brazil at the time. The 5,000 annotated tweets were manually labeled to support research in political discourse analysis, misinformation detection, and social media studies. Due to the location and context of the protests, most tweets are in Portuguese, with a small portion in English and Spanish.

More details about the dataset can be found in:

Few-shot Learning for Multi-modal Social Media Event FilteringJosé Nascimento, João P. Cardenuto, Jing Yang, and Anderson RochaPublished in the 2022 IEEE International Workshop on Information Forensics and Security (WIFS)

IEEE Explorer | arXiv

 

Usage and Applications

This dataset might be valuable for research in:



Political Discourse Analysis: Understanding how different political groups interact online.

Misinformation & Fact-Checking: Analyzing fake news and manipulated media in protests.

Social Media Engagement & Opinion Mining: Investigating sentiment and polarization.

Multimodal AI Research: Studying how text, images, and news links contribute to online discourse.


 

Media Content

Due to the terms of use from the social networks, we do not make publicly available the texts and images that were collected. However, we can provide some extra piece of media content by contacting the authors.

 

Funding

DéjàVu thematic project, São Paulo Research Foundation (grants 2017/12646-3,  2019/04053-8, 2020/02241-9 and 2020/02211-2)
DOI: 10.5281/zenodo.15032725
title: Brazilian Political Demonstration Dataset

description: Description

The Brazilian Political Protest Dataset (Annotated Tweets) is a collection of 5,000 manually labeled tweets related to protests in Brazil on September 7, 2021, and subsequent demonstrations in the following days. The dataset captures public discourse on Twitter, including opinions, news, and media content shared by users supporting and opposing the protests.

To collect the dataset, we used a keyword-based approach, selecting terms that were trending in Brazil at the time. The 5,000 annotated tweets were manually labeled to support research in political discourse analysis, misinformation detection, and social media studies. Due to the location and context of the protests, most tweets are in Portuguese, with a small portion in English and Spanish.

More details about the dataset can be found in:

Few-shot Learning for Multi-modal Social Media Event FilteringJosé Nascimento, João P. Cardenuto, Jing Yang, and Anderson RochaPublished in the 2022 IEEE International Workshop on Information Forensics and Security (WIFS)

IEEE Explorer | arXiv

 

Usage and Applications

This dataset might be valuable for research in:



Political Discourse Analysis: Understanding how different political groups interact online.

Misinformation & Fact-Checking: Analyzing fake news and manipulated media in protests.

Social Media Engagement & Opinion Mining: Investigating sentiment and polarization.

Multimodal AI Research: Studying how text, images, and news links contribute to online discourse.


 

Media Content

Due to the terms of use from the social networks, we do not make publicly available the texts and images that were collected. However, we can provide some extra piece of media content by contacting the authors.

 

Funding

DéjàVu thematic project, São Paulo Research Foundation (grants 2017/12646-3,  2019/04053-8, 2020/02241-9 and 2020/02211-2)
DOI: 10.15468/dl.pkehzb
title: Occurrence Download

description: A dataset containing 28830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "Geometry POLYGON((-125.81801 25.09453,-66.65016 25.09453,-66.65016 48.34727,-125.81801 48.34727,-125.81801 25.09453))",
 "TaxonKey is Lycorma delicatula (White, 1845)"
 ]
}

 The dataset includes 28830 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010407-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14957284
title: Victim Detection Using a Robot-Mounted UWB-Radar Platform

description: Project Description 




During our research at the University of West Attica (UniWA), we addressed the problem of victim detection through walls in Search and Rescue (SAR) operations. To this end, we collected a dataset of radar signal recordings in a controlled classroom environment using a robotic system equipped with an ultra-wideband (UWB) pulsed radar. The collected data were then processed using various machine learning algorithms to detect a person behind a wall and to estimate its distance to the radar sensor. 




The experimental setup and the dataset acquisition methodology are thoroughly discussed in [1].






Dataset Description 




The dataset consists of 66 sessions of radar data corresponding to human presence. More specifically, data with six (6) victim actors were collected ("subjects"), across eleven (11) different, predefined robot positions, according to the setup described in [1]. Furthermore, 11 sessions of radar data were collected across the same robot positions, for human absence. Approximately 198 minutes of recorded human presence and 165 minutes of recorded absence are available, with a refresh rate of about 19 (radar) frames per second.






Dataset Contents 




Each subject folder is assigned an individual identifier Ni, where i=1...6 corresponds to subject number and N0 corresponds to subject absence. 

Within each subject folder, there are subfolders corresponding to the predefined robot positions as in [1], the subjects' orientation and distance to the wall. Within each subfolder, a CSV file stores a matrix of metadata and acquired radar data, according to the radar session data structure described in [1].



Model Architecture




The explanation of the model architecture is presented in the file "CNN_Model.zip"

 





[1] Michalopoulos, A.-P et al, "Victim Detection Using a Robot-Mounted  UWB-Radar Platform", submitted in the 14th International Conference on Modern Circuits and Systems Technologies (MOCAST 2025)
DOI: 10.5281/zenodo.14957285
title: Victim Detection Using a Robot-Mounted UWB-Radar Platform

description: Project Description 




During our research at the University of West Attica (UniWA), we addressed the problem of victim detection through walls in Search and Rescue (SAR) operations. To this end, we collected a dataset of radar signal recordings in a controlled classroom environment using a robotic system equipped with an ultra-wideband (UWB) pulsed radar. The collected data were then processed using various machine learning algorithms to detect a person behind a wall and to estimate its distance to the radar sensor. 




The experimental setup and the dataset acquisition methodology are thoroughly discussed in [1].






Dataset Description 




The dataset consists of 66 sessions of radar data corresponding to human presence. More specifically, data with six (6) victim actors were collected ("subjects"), across eleven (11) different, predefined robot positions, according to the setup described in [1]. Furthermore, 11 sessions of radar data were collected across the same robot positions, for human absence. Approximately 198 minutes of recorded human presence and 165 minutes of recorded absence are available, with a refresh rate of about 19 (radar) frames per second.






Dataset Contents 




Each subject folder is assigned an individual identifier Ni, where i=1...6 corresponds to subject number and N0 corresponds to subject absence. 

Within each subject folder, there are subfolders corresponding to the predefined robot positions as in [1], the subjects' orientation and distance to the wall. Within each subfolder, a CSV file stores a matrix of metadata and acquired radar data, according to the radar session data structure described in [1].



Model Architecture


|-- Conv2D (conv2d_1):|     |-- Filters: 8|     |-- Kernel: (16, 8)|     |-- Activation: ReLU||-- MaxPooling2D (max_pooling2d_1):|     |-- Pool Size: (2, 2)||-- BatchNormalization (batch_norm_1)||-- Conv2D (conv2d_2):|     |-- Filters: 4|     |-- Kernel: (8, 4)|     |-- Activation: ReLU|     |-- Kernel Regularizer: L2 (0.0001)||-- MaxPooling2D (max_pooling2d_2):|     |-- Pool Size: (3, 2)||-- BatchNormalization (batch_norm_2)||-- Flatten (flatten)||-- Dense (dense_1):|     |-- Units: 8|     |-- Activation: ReLU||-- Dropout (dropout_1):|     |-- Rate: 0.24||-- Dense (dense_2):|     |-- Units: 4|     |-- Activation: ReLU||-- Dropout (dropout_2):|     |-- Rate: 0.2||-- BatchNormalization (batch_norm_3)||-- Output Layer (output_layer):      |-- Units: 1      |-- Activation: Sigmoid (Binary classification)

 




[1] Michalopoulos, A.-P et al, "Victim Detection Using a Robot-Mounted  UWB-Radar Platform", submitted in the 14th International Conference on Modern Circuits and Systems Technologies (MOCAST 2025)
DOI: 10.5281/zenodo.15032859
title: Victim Detection Using a Robot-Mounted UWB-Radar Platform

description: Project Description 




During our research at the University of West Attica (UniWA), we addressed the problem of victim detection through walls in Search and Rescue (SAR) operations. To this end, we collected a dataset of radar signal recordings in a controlled classroom environment using a robotic system equipped with an ultra-wideband (UWB) pulsed radar. The collected data were then processed using various machine learning algorithms to detect a person behind a wall and to estimate its distance to the radar sensor. 




The experimental setup and the dataset acquisition methodology are thoroughly discussed in [1].






Dataset Description 




The dataset consists of 66 sessions of radar data corresponding to human presence. More specifically, data with six (6) victim actors were collected ("subjects"), across eleven (11) different, predefined robot positions, according to the setup described in [1]. Furthermore, 11 sessions of radar data were collected across the same robot positions, for human absence. Approximately 198 minutes of recorded human presence and 165 minutes of recorded absence are available, with a refresh rate of about 19 (radar) frames per second.






Dataset Contents 




Each subject folder is assigned an individual identifier Ni, where i=1...6 corresponds to subject number and N0 corresponds to subject absence. 

Within each subject folder, there are subfolders corresponding to the predefined robot positions as in [1], the subjects' orientation and distance to the wall. Within each subfolder, a CSV file stores a matrix of metadata and acquired radar data, according to the radar session data structure described in [1].



Model Architecture




The explanation of the model architecture is presented in the file "CNN_Model.zip"

 





[1] Michalopoulos, A.-P et al, "Victim Detection Using a Robot-Mounted  UWB-Radar Platform", submitted in the 14th International Conference on Modern Circuits and Systems Technologies (MOCAST 2025)
DOI: 10.15468/dl.9b73z9
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.2 52.9,-0.1 52.9,-0.1 53,-0.2 53,-0.2 52.9))",
 "HasCoordinate is true",
 "TaxonKey is one of (Myotis daubentonii (Kuhl, 1817), Myotis mystacinus (Kuhl, 1817), Cervus elaphus Linnaeus, 1758, Asio otus (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Bufo bufo (Linnaeus, 1758), Pipistrellus pipistrellus (Schreber, 1774), Meles meles (Linnaeus, 1758), Lutra lutra (Linnaeus, 1758), Araneus diadematus Clerck, 1757, Erinaceus europaeus Linnaeus, 1758, Apodemus sylvaticus (Linnaeus, 1758), Cornu aspersum (O.F.Müller, 1774), Lampyris noctiluca (Linnaeus, 1758), Strix aluco Linnaeus, 1758)",
 "Year 2013-2015"
 ]
}

 The dataset's 2 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010404-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktp9w7
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liposcelis entomophila (Enderlein, 1907)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010408-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzde6k
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.4 50.9,-0.3 50.9,-0.3 51,-0.4 51,-0.4 50.9))",
 "HasCoordinate is true",
 "TaxonKey is one of (Myotis daubentonii (Kuhl, 1817), Myotis mystacinus (Kuhl, 1817), Cervus elaphus Linnaeus, 1758, Asio otus (Linnaeus, 1758), Triturus cristatus (Laurenti, 1768), Bufo bufo (Linnaeus, 1758), Pipistrellus pipistrellus (Schreber, 1774), Meles meles (Linnaeus, 1758), Lutra lutra (Linnaeus, 1758), Araneus diadematus Clerck, 1757, Erinaceus europaeus Linnaeus, 1758, Apodemus sylvaticus (Linnaeus, 1758), Cornu aspersum (O.F.Müller, 1774), Lampyris noctiluca (Linnaeus, 1758), Strix aluco Linnaeus, 1758)",
 "Year 2013-2015"
 ]
}

 The dataset's 9 records were derived from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010406-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88jt2f
title: Occurrence Download

description: A dataset containing 204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Sigmodontomys alfari J.A.Allen, 1897"
 ]
}

 The dataset includes 204 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010409-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kc3e59
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Liposcelis decolor (Pearman, 1925)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010412-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26093/cds/vizier.75134673
title: Radio quasars study from Radio/X-ray surveys

description: VizieR online Data Catalogue associated with article published in journal Monthly Notices of the Royal Astronomical Society with title ' The Fundamental Planes of black hole activity for radio-loud and radio-quiet quasars.' (bibcode: 2022MNRAS.513.4673B)
DOI: 10.25547/b1dv-ya63
title: CCC subset: Women in translation and print 1641-1660

description: &lt;p&gt;This dataset contains 175 entries from the Cultural Crosscurrents Catalogue of Printed Translations in Stuart and Commonwealth Britain 1641-1660 (&lt;a href="http://crosscurrentscatalogue.ca/" rel="nofollow noopener noreferrer" target="_blank"&gt;CCC&lt;/a&gt;), documenting the agency of women (as authors, translators, stationers, dedicatees, or readers) in translations printed in Britain between 1641 and 1660.&lt;/p&gt;

&lt;p&gt;The main bibliographical data (reference number, date, title, format, authorship, translatorship, languages) were extracted from the CCC. The dataset was manually enriched by Marie-Alice Belle and Marie-France Gu&eacute;nette to identify the various women involved in the production and circulation of printed translations in the period, and to document their specific forms of agency.  &lt;/p&gt;

&lt;p&gt;This dataset underlies the analysis published in Marie-Alice Belle and Marie-France Gu&eacute;nette, &#39;Representing Women in Early Modern English Translation and Print&#39;, in Karen Bennett and Rog&eacute;rio M. Puga (eds), &lt;em&gt;Translation and Transposition in the Early Modern Period&lt;/em&gt;. London: Routledge, 2024. DOI: 10.4324/9781003092452-4&lt;/p&gt;