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

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphecodes kincaidii Cockerell, 1898"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022992-250525065834625/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.29249738.v1
title: Mangrove cover raster in Mozambique in 2013 and 2023

description: 30 m resolution raster of mangrove cover in Mozambique in 2013 and 2023. Data are divided by coastal province.
DOI: 10.15468/dl.2g88vy
title: Occurrence Download

description: A dataset containing 3211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Palythoa caribaeorum Duchassaing & Michelotti, 1860"
 ]
}

 The dataset includes 3211 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023101-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82qx22
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcea rosea",
 "Country is Armenia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001376-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbfpws
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcea rosea",
 "Country is Belize",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001377-250827131500795/datasets/export for details.
DOI: 10.15468/dl.3xbt9f
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcea rosea",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 425 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001378-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqnvt9
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriolella caerulea"
 ]
}

 The dataset includes 300 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001379-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztbp85
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcippe hueti",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001381-250827131500795/datasets/export for details.
DOI: 10.15468/dl.3h6hf2
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stypopodium schimperi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 73 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001382-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ebj5rz
title: Occurrence Download

description: A dataset containing 57978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Columbina squammata"
 ]
}

 The dataset includes 57978 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001333-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvbmk2
title: Occurrence Download

description: A dataset containing 7904 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactarius indigo"
 ]
}

 The dataset includes 7904 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001385-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/kvvfd2
title: Línea Base para el Proyecto Troncal del Magdalena 1

description: Entre los días 03 y 12 de mayo del 2023 se realizó el monitoreo hidrobiológico de Fitoplancton, zooplancton, perifiton, macrófitas, macroinvertebrados bentónicos e Ictiofauna en treinta y cuatro (34) puntos de monitoreo, ubicados en los municipios de Puerto Boyacá – Boyacá, Puerto Salgar – Cundinamarca, y Bolívar, Cimitarra, Puerto Parra y Barrancabermeja – Santander, entre las coordenadas: latitud decimal 7.16240 / 5.42897 y longitud decimal -73.54135 / -74.66307.
DOI: 10.15468/dl.qzm85j
title: Occurrence Download

description: A dataset containing 29375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Bromus commutatus"
 ]
}

 The dataset includes 29375 records from 836 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001380-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a3xjyt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcea rosea",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001386-250827131500795/datasets/export for details.
DOI: 10.15468/dl.erp2kb
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcea rosea",
 "Country is Romania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 127 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001388-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyx4ck
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alcea rosea",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 83 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001387-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3uejy
title: Occurrence Download

description: A dataset containing 26158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Molossidae, Vespertilionidae, Mormoopidae, Noctilionidae, Emballonuridae)"
 ]
}

 The dataset includes 26158 records from 390 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001384-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/1rzt-2q74
title: "Electromyography (EMG) Spectrograms Database for Hand Gesture Classification"

description: "This dataset presents a collection of electromyography (EMG) spectrograms derived from three hand gestures: open hand, closed hand, and pinch. The signals were acquired using a BITalino device with two surface electrodes placed on the forearm of workers in a Colombian private company, primarily women engaged in repetitive assembly tasks. The raw EMG signals were collected via OpenSignals software, stored in .h5 format, and subsequently processed in Python using the biosignalsnotebooks library. Preprocessing steps included band-pass filtering (25\u2013300 Hz), rectification, and envelope extraction. Spectrograms were generated using Hanning windows and converted into .jpg images. The final dataset consists of 408 spectrograms distributed across three gesture classes. This dataset is intended primarily for Convolutional Neural Networks (CNNs) in hand gesture classification tasks but can be extended to prosthesis control, rehabilitation, and other biomedical applications. "
DOI: 10.15482/usda.adc/26870506
title: Single-cell RNA sequencing data and resources from blood and milk immune cells of Holstein cattle with chronic mastitis caused by experimental <i>Staphylococcus aureus</i> infection

description: This online resource provides supplementary items used to analyze data in the work, "Single-cell RNA sequencing characterization of Holstein cattle blood and milk immune cells during a chronic <i>Staphylococcus aureus</i> mastitis infection", by Wiarda et al. Cells were collected from milk and blood of three cattle with chronic mastitis infections caused by experimental <i>Staphylococcus aureus </i>challenge. Isolated cells were processed for single-cell RNA sequencing, resulting in a dataset of 35,338 cells distributed across 62 cells clusters. Cell clusters were classified as granulocytes, monocyte/macrophage/conventional dendritic cells, B cells/antibody-secreting cells, T cells/innate lymphoid cells, plasmacytoid dendritic cells, and non-immune cells. A data subset consisting of 30 granulocyte clusters was also created. Data objects of total cell and granulocyte datasets are included here (.h5seurat files), as well as results of pairwise differential gene expression of all cell clusters (resulting in over 4.3 million differentially expressed genes), and a data object containing cell neighborhoods used for differential abundance testing.
DOI: 10.15482/usda.adc/26870506.v1
title: Single-cell RNA sequencing data and resources from blood and milk immune cells of Holstein cattle with chronic mastitis caused by experimental <i>Staphylococcus aureus</i> infection

description: This online resource provides supplementary items used to analyze data in the work, "Single-cell RNA sequencing characterization of Holstein cattle blood and milk immune cells during a chronic <i>Staphylococcus aureus</i> mastitis infection", by Wiarda et al. Cells were collected from milk and blood of three cattle with chronic mastitis infections caused by experimental <i>Staphylococcus aureus </i>challenge. Isolated cells were processed for single-cell RNA sequencing, resulting in a dataset of 35,338 cells distributed across 62 cells clusters. Cell clusters were classified as granulocytes, monocyte/macrophage/conventional dendritic cells, B cells/antibody-secreting cells, T cells/innate lymphoid cells, plasmacytoid dendritic cells, and non-immune cells. A data subset consisting of 30 granulocyte clusters was also created. Data objects of total cell and granulocyte datasets are included here (.h5seurat files), as well as results of pairwise differential gene expression of all cell clusters (resulting in over 4.3 million differentially expressed genes), and a data object containing cell neighborhoods used for differential abundance testing.
DOI: 10.15468/dl.kswtc9
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "OccurrenceStatus is Present",
 "TaxonKey is Sphyrna zygaena"
 ]
}

 The dataset includes 114 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001389-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z39k78
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Mastigodryas danieli"
 ]
}

 The dataset includes 130 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001390-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7dud6b
title: Occurrence Download

description: A dataset containing 8950443 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "GadmGid is USA.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Coordinate rounded, Recorded date mismatch, Identified date invalid, Recorded date invalid, Geodetic datum invalid, Coordinate reprojection suspicious)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8950443 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001297-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3zfpv
title: Occurrence Download

description: A dataset containing 671586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Salix cinerea, Salix daphnoides, Salix discolor, Salix fragilis, Salix humboldtiana, Salix matsudana, Salix mollissima, Salix myricoides, Salix nigra, Salix pendulina, Salix pentandra, Salix purpurea, Salix sepulcralis, Salix triandra, Salix viminalis, Salpichroa origanifolia, Salsola collina, Salsola kali, Salsola paulsenii, Salsola ryanii)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 671586 records from 1971 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001349-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/t6y98-dns10
title: Helicobacter pylori 26695

description: Cells are sick. Don't have flagella. Only see partial motors.
description: <strong>Tilt Series Date:</strong> 2013-10-09</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Helicobacter pylori</p>
<strong>Strain:</strong> 26695</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-65.0°, 65.0°), step: 1.0°, constant angular increment, dosage: 200.0 eV/Å²,  defocus: -10.0 μm,  magnification: 22500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Cell prepared by Lee Rettberg.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown in Brucella broth (Fluka) + 10% heat inactivated fetal bovine serum at 37 degrees + 5% CO2, OD600=0.4</p>
<strong>Sample Preparation:</strong> Vitrobot settings: 100% humidity, 3µl sample, 10 nm BSA treated gold. -3 offset, 4 sec blot time, no drain. Ethane/propane mix. Grid: QF Cu R2/2 200</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2013-10-09-22/rawdata/</p>20131009_Hpylori_26695_BB_10022.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.7 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2013-10-09-22/rawdata/20131009_Hpylori_26695_BB_10022.mrc"
        > <i class="download icon"></i> Download </a></p>

        20131009_Hpylori_26695_BB_10022_part131_5.rec,  Reconstruction (Pixel Size 1.92 nm), 712.7 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2013-10-09-22/3dimage_32174/20131009_Hpylori_26695_BB_10022_part131_5.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/bw3qh-knw17
title: Hyphomonas "AR43"

description: ParA-like protein, HNE0708, venus
description: <strong>Tilt Series Date:</strong> 2012-03-04</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Hyphomonas neptunium</p>
<strong>Strain:</strong> ATCC 15444</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-50.0°, 50.0°), step: 1.0°, constant angular increment, dosage: 120.0 eV/Å²,  defocus: -10.0 μm,  magnification: 34000x. </p>
<strong>Acquisition Software:</strong> UCSFTomo</p>
<strong>Upload Method:</strong> pipeline</p>
<strong>Processing Software Used:</strong> Raptor</p>
<strong>Collaborators and Roles:</strong> Strain from Martin Thanbichler</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown overnight in Marine Broth (MB) medium at 30 degrees. Expression of Venus labeled HNK0708 was induced by adding final 300 uM CuCl2 and incubated at 30 degrees for 24 hr.</p>
<strong>Sample Preparation:</strong> Vitrobot settings: 100% humidity, 3µl sample, 10 nm BSA treated gold. -3 offset, 4 sec blot time, no drain. Ethane/propane mix.</p>
description: Files available via S3 at ttps://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2012-03-04-15/rawdata/</p>2012Mar04_AR43_24hr_30009.mrc,  Tilt Series (Pixel Size 0.644 nm), 842.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2012-03-04-15/rawdata/2012Mar04_AR43_24hr_30009.mrc"
        > <i class="download icon"></i> Download </a></p>

        2012Mar04_AR43_24hr_30009_full.rec,  Reconstruction (Pixel Size 1.288 nm), 516.1 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2012-03-04-15/3dimage_17450/2012Mar04_AR43_24hr_30009_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.5281/zenodo.15244032
title: Dataset for DCCN

description: Dataset Description

This archive contains training materials and a minimal dataset for image aesthetic quality assessment based on two widely-used datasets: AVA and CUHK-PQ.

1. AVA Dataset (Aesthetic Visual Analysis)





The AVA dataset consists of approximately 250,000 images, each annotated with a distribution of aesthetic scores (from 1 to 10).




In our experiments, we used the complete AVA dataset for training to achieve optimal performance.




However, due to the large file size (~30GB), it is not included in this archive.




Instead, we provide a minimal version of the dataset with around 30,000 selected images and a merged CSV file, which can be used for lightweight training and testing.




Please note that models trained on this smaller subset may perform worse than those trained on the full dataset.




You can download the full AVA dataset using this tool:https://github.com/imfing/ava_downloader



2. CUHK-PQ Dataset





The CUHK-PQ dataset is organized into two folders:





high/ – High aesthetic quality images




low/ – Low aesthetic quality images






The folder structure itself serves as ground truth labels, making the dataset straightforward to use in binary classification tasks.



In this project, the CUHK-PQ dataset was used to train and evaluate a binary aesthetic classifier.

3. Code

The code package contains implementations for training and evaluating models on both the AVA and CUHK-PQ datasets.This code enables reproduction of the experimental results presented in this study.

Archive Contents





minimal_dataset_for_ava.csv – Combined label file for AVA subset (with train/val/test split)




AVA/ – Folder with selected AVA training images




README.md – Dataset usage instructions




A sample image showing the training result visualization


result_ava.png – Sample visualization of model performance on the AVA dataset



result_pq.png – Sample visualization of model performance on the CUHK-PQ dataset


Source code for training and evaluating models on AVA and CUHK-PQ datasets
DOI: 10.5281/zenodo.16990506
title: Dataset for DCCN

description: Dataset Description

This archive contains training materials and a minimal dataset for image aesthetic quality assessment based on two widely-used datasets: AVA and CUHK-PQ.

1. AVA Dataset (Aesthetic Visual Analysis)





The AVA dataset consists of approximately 250,000 images, each annotated with a distribution of aesthetic scores (from 1 to 10).




In our experiments, we used the complete AVA dataset for training to achieve optimal performance.




However, due to the large file size (~30GB), it is not included in this archive.




Instead, we provide a minimal version of the dataset with around 30,000 selected images and a merged CSV file, which can be used for lightweight training and testing.




Please note that models trained on this smaller subset may perform worse than those trained on the full dataset.




You can download the full AVA dataset using this tool:https://github.com/imfing/ava_downloader



2. CUHK-PQ Dataset





The CUHK-PQ dataset is organized into two folders:





high/ – High aesthetic quality images




low/ – Low aesthetic quality images






The folder structure itself serves as ground truth labels, making the dataset straightforward to use in binary classification tasks.



In this project, the CUHK-PQ dataset was used to train and evaluate a binary aesthetic classifier.

3. Code

The code package contains implementations for training and evaluating models on both the AVA and CUHK-PQ datasets.This code enables reproduction of the experimental results presented in this study.

Archive Contents





minimal_dataset_for_ava.csv – Combined label file for AVA subset (with train/val/test split)




AVA/ – Folder with selected AVA training images




README.md – Dataset usage instructions




A sample image showing the training result visualization


result_ava.png – Sample visualization of model performance on the AVA dataset



result_pq.png – Sample visualization of model performance on the CUHK-PQ dataset


Source code for training and evaluating models on AVA and CUHK-PQ datasets