cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/vkv-d4z-p2j
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e1s-484-gfn
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/knq-7gx-61s
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j1q-tvh-we0
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rph-05l-zsm
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8c1-hcq-xv6
title: †Sowerbyella Jones, 1928

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8kf-kzc-d39
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/ds9-4jz-jbt
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l7v-y91-8nd
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.qsxhye
title: Occurrence Download

description: A dataset listing the 40453 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "BasisOfRecord is one of (Human Observation)"
 ]
}

 The dataset's 40453 records were derived from 442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010507-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jx2sek
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014509-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjjsmy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Passalurus nonanulatus Skinker, 1931)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014507-250310093411724/datasets/export for details.
DOI: 10.15468/dl.ckdewc
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014510-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4wmzk
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014512-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bg525
title: Occurrence Download

description: A dataset containing 85064 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2007-2022_nibr_simpl_in"
 ]
}

 The dataset includes 85064 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014501-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6at7pp
title: Occurrence Download

description: A dataset containing 68582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Capra hircus Linnaeus, 1758)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 68582 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014485-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xhp9fa
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014513-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vzedn8
title: Occurrence Download

description: A dataset containing 8067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrmecophaga tridactyla Linnaeus, 1758"
 ]
}

 The dataset includes 8067 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014511-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ee29tp
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014515-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxz9as
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014518-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hf8n9y
title: Occurrence Download

description: A dataset containing 8067 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myrmecophaga tridactyla Linnaeus, 1758"
 ]
}

 The dataset includes 8067 records from 258 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014521-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8cce7
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014522-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/be171486-fe03-45fe-8d8b-22b4c81cd3a2
title: Data underlying the paper "Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability"

description: This project characterizes decision subjects' information and procedural needs for meaningful contestability in an algorithmic decision-making process for policy enforcement. We interviewed 21 participants with experience renting their properties out as short-term rentals. We introduced a hypothetical algorithmic system for identifying illegal holiday rentals and informed participants that their property had been identified as an illegal holiday rental. Throughout the interviews we captured their needs to meaningfully contest the algorithmic decision and the decision-making process as a whole. The dataset includes:<br>The pre-registration of the studyThe screening surveyThe interview protocolThe prompts used as part of the interviews
DOI: 10.4121/be171486-fe03-45fe-8d8b-22b4c81cd3a2.v1
title: Data underlying the paper "Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability"

description: This project characterizes decision subjects' information and procedural needs for meaningful contestability in an algorithmic decision-making process for policy enforcement. We interviewed 21 participants with experience renting their properties out as short-term rentals. We introduced a hypothetical algorithmic system for identifying illegal holiday rentals and informed participants that their property had been identified as an illegal holiday rental. Throughout the interviews we captured their needs to meaningfully contest the algorithmic decision and the decision-making process as a whole. The dataset includes:<br>The pre-registration of the studyThe screening surveyThe interview protocolThe prompts used as part of the interviews
DOI: 10.4121/be171486-fe03-45fe-8d8b-22b4c81cd3a2.v2
title: Data underlying the paper "Identifying Algorithmic Decision Subjects' Needs for Meaningful Contestability"

description: This project characterizes decision subjects' information and procedural needs for meaningful contestability in an algorithmic decision-making process for policy enforcement. We interviewed 21 participants with experience renting their properties out as short-term rentals. We introduced a hypothetical algorithmic system for identifying illegal holiday rentals and informed participants that their property had been identified as an illegal holiday rental. Throughout the interviews we captured their needs to meaningfully contest the algorithmic decision and the decision-making process as a whole. The dataset includes:<br>The pre-registration of the studyThe screening surveyThe interview protocolThe prompts used as part of the interviews
DOI: 10.15468/dl.8u9chm
title: Occurrence Download

description: A dataset containing 180 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Strongyloides Grassi, 1879)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 180 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014523-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6kbvk
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Microtus levis Miller, 1908)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 251 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014525-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh6qaz
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014524-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydsv29
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "PublishingOrg is 520e3c81-7de2-4ef3-9b36-11f3bdad76a9",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014529-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ytdcvp
title: Occurrence Download

description: A dataset containing 1448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mezira Amyot & Serville, 1843",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1448 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014530-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7ef8b
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014533-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ge75v
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014534-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e99tab
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014531-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st4nyb
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014535-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15043931
title: V2 Balloon Detection Dataset

description: Description:







This V2 Balloon Detection Dataset was created to serve as an easy-to-use image dataset, perfect for experimenting with object detection algorithms. The main goal was to provide a simplified dataset that allows for quick setup and minimal effort in exploratory data analysis (EDA). This dataset is ideal for users who want to test and compare object detection models without spending too much time navigating complex data structures. Unlike datasets like chest x-rays, which require expert interpretation to evaluate model performance, the simplicity of balloon detection enables users to visually verify predictions without domain expertise.

 

The original Balloon dataset was more complex, as it was split into separate training and testing sets, with annotations stored in two separate JSON files. To streamline the experience, this updated version of the dataset merges all images into a single folder and replaces the JSON annotations with a single, easy-to-use CSV file. This new format ensures that the dataset can be loaded seamlessly with tools like Pandas, simplifying the workflow for researchers and developers.

 







Download Dataset









The dataset contains a total of 74 high-quality JPG images. Each featuring one or more balloons in different scenes and contexts. Accompanying the images is a CSV file that provides annotation data.  Such as bounding box coordinates and labels for each balloon within the images. This structure makes the dataset easily accessible for a range of machine learning and computer vision tasks.  Including object detection and image classification. The dataset is versatile and can be used to test algorithms like YOLO, Faster R-CNN, SSD, or other popular object detection models.

Key Features:



Image Format: 74 JPG images, ensuring high compatibility with most machine learning frameworks.

Annotations: A single CSV file that contains structure data. Including bounding box coordinates, class labels, and image file names, which can be load with Python libraries like Pandas.

Simplicity: Design for users to quickly start training object detection models without needing to preprocess or deeply explore the dataset.

Variety: The images feature balloons in various sizes, colors, and scenes, making it suitable for testing the robustness of detection models.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15043932
title: V2 Balloon Detection Dataset

description: Description:







This V2 Balloon Detection Dataset was created to serve as an easy-to-use image dataset, perfect for experimenting with object detection algorithms. The main goal was to provide a simplified dataset that allows for quick setup and minimal effort in exploratory data analysis (EDA). This dataset is ideal for users who want to test and compare object detection models without spending too much time navigating complex data structures. Unlike datasets like chest x-rays, which require expert interpretation to evaluate model performance, the simplicity of balloon detection enables users to visually verify predictions without domain expertise.

 

The original Balloon dataset was more complex, as it was split into separate training and testing sets, with annotations stored in two separate JSON files. To streamline the experience, this updated version of the dataset merges all images into a single folder and replaces the JSON annotations with a single, easy-to-use CSV file. This new format ensures that the dataset can be loaded seamlessly with tools like Pandas, simplifying the workflow for researchers and developers.

 







Download Dataset









The dataset contains a total of 74 high-quality JPG images. Each featuring one or more balloons in different scenes and contexts. Accompanying the images is a CSV file that provides annotation data.  Such as bounding box coordinates and labels for each balloon within the images. This structure makes the dataset easily accessible for a range of machine learning and computer vision tasks.  Including object detection and image classification. The dataset is versatile and can be used to test algorithms like YOLO, Faster R-CNN, SSD, or other popular object detection models.

Key Features:



Image Format: 74 JPG images, ensuring high compatibility with most machine learning frameworks.

Annotations: A single CSV file that contains structure data. Including bounding box coordinates, class labels, and image file names, which can be load with Python libraries like Pandas.

Simplicity: Design for users to quickly start training object detection models without needing to preprocess or deeply explore the dataset.

Variety: The images feature balloons in various sizes, colors, and scenes, making it suitable for testing the robustness of detection models.


This dataset is sourced from Kaggle.
DOI: 10.15468/dl.wz5uw9
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "DatasetKey is Herbario de la Universidad de Sevilla",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistus ladanifer L."
 ]
}

 The dataset includes 126 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014536-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34973/c07k-v019
title: Behavioral assessment of the quality of speech reconstructions from intracranial neural activity

description: The collection contains behavioral data for the manuscript "Direct Speech Reconstruction from Sensorimotor Brain Activity with Optimized Deep Learning Models". Behavioral data was collected from three experiments: a word recognition experiment (I), a speaker recognition experiment (II) and an audio quality assessment (III). The aim of the experiments was to collect human perceptual judgments of speech reconstructed from sensorimotor human brain activity.