cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ghxgvd245z
title: Autism Image and Audio Dataset

description: This dataset consists of a curated collection of image and audio samples compiled for research in machine learning, pattern recognition, and multimodal data analysis. The primary objective of creating this dataset is to support the development and evaluation of models that integrate both visual and acoustic information for classification, detection, or behavioral analysis tasks. All files have been systematically organized and preprocessed to ensure consistency, usability, and ease of integration into existing research pipelines.

The image dataset includes high-quality JPG/PNG files captured under controlled conditions to maintain uniformity in lighting, background, and orientation wherever possible. Each image has been reviewed for clarity, relevance, and labeling accuracy. The images can be used for tasks such as object classification, facial or behavioral feature extraction, visual pattern recognition, or domain-specific computer vision research. The naming convention follows a sequential format (e.g., p1.jpg, p2.jpg) to maintain compatibility with automated data loaders and scripts.

The audio dataset contains WAV/MAT files recorded using standard sampling rates suitable for speech, environmental sound analysis, or clinical audio research. Each audio file has been normalized and trimmed to remove unnecessary silence, ensuring better preprocessing efficiency and model performance. These samples are applicable for tasks such as speech processing, acoustic feature extraction (MFCCs, spectrograms, chroma features), emotion or behavior classification, and multimodal fusion studies.

Together, the image and audio components of this dataset enable researchers to explore cross-modal learning, develop robust multimodal models, and study correlations between visual and auditory patterns. The dataset is intended for academic, research, and non-commercial use, providing a valuable resource for experiments, benchmarking, and innovation in AI and machine learning applications.
DOI: 10.17632/ghxgvd245z.1
title: Autism Image and Audio Dataset

description: This dataset consists of a curated collection of image and audio samples compiled for research in machine learning, pattern recognition, and multimodal data analysis. The primary objective of creating this dataset is to support the development and evaluation of models that integrate both visual and acoustic information for classification, detection, or behavioral analysis tasks. All files have been systematically organized and preprocessed to ensure consistency, usability, and ease of integration into existing research pipelines.

The image dataset includes high-quality JPG/PNG files captured under controlled conditions to maintain uniformity in lighting, background, and orientation wherever possible. Each image has been reviewed for clarity, relevance, and labeling accuracy. The images can be used for tasks such as object classification, facial or behavioral feature extraction, visual pattern recognition, or domain-specific computer vision research. The naming convention follows a sequential format (e.g., p1.jpg, p2.jpg) to maintain compatibility with automated data loaders and scripts.

The audio dataset contains WAV/MAT files recorded using standard sampling rates suitable for speech, environmental sound analysis, or clinical audio research. Each audio file has been normalized and trimmed to remove unnecessary silence, ensuring better preprocessing efficiency and model performance. These samples are applicable for tasks such as speech processing, acoustic feature extraction (MFCCs, spectrograms, chroma features), emotion or behavior classification, and multimodal fusion studies.

Together, the image and audio components of this dataset enable researchers to explore cross-modal learning, develop robust multimodal models, and study correlations between visual and auditory patterns. The dataset is intended for academic, research, and non-commercial use, providing a valuable resource for experiments, benchmarking, and innovation in AI and machine learning applications.
DOI: 10.15468/dl.fz8nh6
title: Occurrence Download

description: A dataset containing 5461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.59756321107036",
 "DecimalLongitude is less than 6.60062276425475",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 5461 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044868-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6bvtb8dgx7.1
title: Local University Expansion and Firm Innovation: Evidence from Skilled Labor Supply Shocks and Innovation Efficiency

description: Main_Data.dta: This file contains the Stata-format data used in the main analysis. The primary data on firm innovation and financial performance is sourced from the WIND database, while the corporate governance and risk-taking data are drawn from the CSMAR database. The city-level data, including demographic and economic variables, is obtained from the China City Statistical Yearbook. Some of the data processing and analysis were also conducted using Python.
DOI: 10.13140/rg.2.2.29490.67522
title: A hollow robotic arm suitable to be mounted on a vacuum cleaning drone
DOI: 10.15468/dl.s386gy
title: Occurrence Download

description: A dataset listing the 76 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "MediaType is Image",
 "TaxonKey is Cerambycidae",
 "Year 2000-2025"
 ]
}

 The dataset's 76 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044853-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wnd6hn
title: Occurrence Download

description: A dataset containing 16059 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Spodoptera frugiperda"
 ]
}

 The dataset includes 16059 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044869-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwkzjf
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.8688 27.74913, -111.7188 27.74913, -111.7188 27.89913, -111.8688 27.89913, -111.8688 27.74913))"
 ]
}

 The dataset includes 337 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044870-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpqbrm
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium angulatum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 259 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044871-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmwuwd
title: Occurrence Download

description: A dataset containing 2506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.60062276425475",
 "DecimalLongitude is less than 6.60368231743915",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 2506 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044872-251025141854904/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/13790565
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.28369472
title: Evolution in response to an abiotic stress shapes species coexistence - Data and scripts

description: # evolution_cadmium_coexistenceThis material is a companion to the paper "Evolution in response to an abiotic stress shapes species coexistence".This information is also available in the git repository: https://github.com/irfragata/evolution_cadmium_coexistence.The scripts available allow with the data set provided to replicate all the analyses done in the paper, as well as the figures.The Data folder contains the raw data.The Code folder contains the scripts to perform the analyses.The Analyses folder contains intermediate outputs required for the analyses.The Plots folder contains the figures used in the manuscript (output from the code).The html folder contains the html output of the Main_analyses.R and Figures.R scripts.Inside each folder there is a ReadMe file explaining the different files and folder available.Given that running the cxr package requires sometime, we provided the intermediate files used to generate the figure, but we also provide the code done to generate the files, to ensure the total reproducibility analyses.For the purpose of Open Access, a CC-BY 4.0 public copyright licence has been applied to the contents of this repository.<br>
DOI: 10.6084/m9.figshare.28369472.v6
title: Evolution in response to an abiotic stress shapes species coexistence - Data and scripts

description: # evolution_cadmium_coexistenceThis material is a companion to the paper "Evolution in response to an abiotic stress shapes species coexistence"This information is also available in the git repository: https://github.com/irfragata/evolution_cadmium_coexistenceThe scripts available allow with the data set provided to replicate all the analyses done in the paper, as well as the figures.Inside each folder there is a ReadMe file explaining the different files and folder available. The general description of the folder is as follows:The Data folder contains the raw dataThe Code folder contains the scripts to perform the analysesThe Analyses folder contains intermediate outputs required for the analyses.The Plots folder contains the figures used in the manuscript (output from the code)Given that running the cxr package requires sometime, we provided the intermediate files used to generate the figure, but we also provide the code done to generate the files, to ensure the total reproducibility analyses.For the purpose of Open Access, a CC-BY 4.0 public copyright licence has been applied to the contents of this repository.<br>
DOI: 10.6084/m9.figshare.28369472.v7
title: Evolution in response to an abiotic stress shapes species coexistence - Data and scripts

description: # evolution_cadmium_coexistenceThis material is a companion to the paper "Evolution in response to an abiotic stress shapes species coexistence".This information is also available in the git repository: https://github.com/irfragata/evolution_cadmium_coexistence.The scripts available allow with the data set provided to replicate all the analyses done in the paper, as well as the figures.The Data folder contains the raw data.The Code folder contains the scripts to perform the analyses.The Analyses folder contains intermediate outputs required for the analyses.The Plots folder contains the figures used in the manuscript (output from the code).The html folder contains the html output of the Main_analyses.R and Figures.R scripts.Inside each folder there is a ReadMe file explaining the different files and folder available.Given that running the cxr package requires sometime, we provided the intermediate files used to generate the figure, but we also provide the code done to generate the files, to ensure the total reproducibility analyses.For the purpose of Open Access, a CC-BY 4.0 public copyright licence has been applied to the contents of this repository.<br>
DOI: 10.15468/dl.s8644f
title: Occurrence Download

description: A dataset containing 1456 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-111.7188 27.74913, -111.5688 27.74913, -111.5688 27.89913, -111.7188 27.89913, -111.7188 27.74913))"
 ]
}

 The dataset includes 1456 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044875-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxbkzt
title: Occurrence Download

description: A dataset containing 1529 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Madagascar",
 "TaxonKey is Erica"
 ]
}

 The dataset includes 1529 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044876-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4j6bcs
title: Occurrence Download

description: A dataset containing 15049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlidonias niger",
 "Year 2000-2023"
 ]
}

 The dataset includes 15049 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044874-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7h7fw
title: Occurrence Download

description: A dataset containing 1427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 6.60368231743915",
 "DecimalLongitude is less than 6.60674187062354",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1427 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044877-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/64
title: Data associated with 'Raman spectroscopy of endoscopic colonic biopsies from patients with ulcerative colitis to identify mucosal inflammation and healing'

description: This repository contains the data referred to in the paper “Raman spectroscopy of endoscopic colonic biopsies from patients with ulcerative colitis to identify mucosal inflammation and healing”. It consists of experimental data for the Raman spectra obtained for mucosally healed (or quiescent) and inflamed colon tissue and statistical data to identify significant differences between the peak intensities in the Raman spectra for the two different sample groups.
DOI: 10.15468/dl.7ev8xf
title: Occurrence Download

description: A dataset containing 9158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Milvus milvus"
 ]
}

 The dataset includes 9158 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044880-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pebgx
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "TaxonKey is Melanotus crassicollis"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044881-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zgxfpkpy2f
title: Environmental Regulation, Green Innovation, and Productivity: Crowding-Out or Reallocation?

description: Replication package for the paper in Economic Modelling.
DOI: 10.22002/e8awk-1b684
title: Saccharomyces cerevisiae - JAWY1

description: Raw data files of Saccharomyces cerevisiae - JAWY1
description: <strong>Tilt Series Date:</strong> 2016-11-30</p>
<strong>Data Taken By:</strong> Shrawan kumar Mageswaran</p>
<strong>Species / Specimen:</strong> Unspecified</p>
<strong>Strain:</strong> None</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 2°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </p>
<strong>Microscope:</strong> Caltech Polara</p>
<strong>Acquisition Software:</strong> SerialEM</p>
<strong>Upload Method:</strong> reupload_downloaded</p>
<strong>Processing Software Used:</strong> IMOD</p>
<strong>Collaborators and Roles:</strong> Obtained from Dr. Greg Odorizzi @ Univ of Colorado at Boulder.</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells were grown overnight, diluted to 0.2 OD in the morning and allowed to grow till OD ~0.6. sm2016-11-30-1to5,*-10,*-13to20 (TS1-TS14)- Heat shocked @38 deg C for 2min10min. sm2016-11-30-6to9,*-11to12 (TS15-21) - Heat shocked @38 deg C for 1.5 hr and recovered @28deg C for 40 min.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-11-30-3/rawdata/</p>TS11.mrc,  Tilt Series (Pixel Size 0.39 nm), 1.5 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-11-30-3/rawdata/TS11.mrc"
        > <i class="download icon"></i> Download </a></p>

        TS11_DB.rec,  Reconstruction (Pixel Size 0.0 nm), 313.6 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/smk2016-11-30-3/3dimage_81163/TS11_DB.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.15468/dl.fjvarm
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyclachaena xanthiifolia",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048001-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22002/xhp0n-hye06
title: Myxococcus xanthus delta-pilT

description: Grid box YWC129
description: <strong>Tilt Series Date:</strong> 2015-04-28</p>
<strong>Data Taken By:</strong> Yi-Wei Chang</p>
<strong>Species / Specimen:</strong> Myxococcus xanthus</p>
<strong>Strain:</strong> </p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 180.0 eV/Å²,  defocus: -6.0 μm,  magnification: 27500x. </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> Strain form Lotte Sogaard-Andersen</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Cells grown 2 days in 220 rpm shaking CTT medium at 30 degrees without antibiotics. OD600=0.8</p>
<strong>Sample Preparation:</strong> Vitrobot (MK iv) settings: 100% humidity, 3µl sample, 10 mg/ml BSA treated gold. Blot force 6, blot time 2.5 sec. Wait time 0 sec. Drain time 1 sec. Ethane/propane mix. Grid: Quantifoil Cu 2/2 200.</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-28-60/rawdata/</p>20150428_YWC129_20062.mrc,  Tilt Series (Pixel Size 0.39 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-28-60/rawdata/20150428_YWC129_20062.mrc"
        > <i class="download icon"></i> Download </a></p>

        20150428_YWC129_20062_full.rec,  Reconstruction (Pixel Size 1.56 nm), 534.5 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/ycw2015-04-28-60/3dimage_55096/20150428_YWC129_20062_full.rec"
        > <i class="download icon"></i> Download </a></p>
DOI: 10.22002/jra4v-19j40
title: lighlyfixed_wt_serumbottle

description: Raw data files of lighlyfixed_wt_serumbottle
description: <strong>Tilt Series Date:</strong> 2015-07-07</p>
<strong>Data Taken By:</strong> Poorna Subramanian</p>
<strong>Species / Specimen:</strong> Shewanella oneidensis</p>
<strong>Strain:</strong> MR-1</p>
<strong>Tilt Series Settings:</strong>  Single Axis, tilt range: (-60.0°, 60.0°), step: 1.0°, constant angular increment, dosage: 150.0 eV/Å²,  defocus: -8.0 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> Sahand and Moh USC</p>
<strong>Purification / Growth Conditions / Treatment:</strong> Grown using serum bottle. This sample was lightly fixed with 2.5% glutaraldehyde, the very same sample that was sent for SEM. After mixing with glutaraldehyde in a tube, the sample was applied on grid and frozen.</p>
<strong>Sample Preparation:</strong> blotting conditions: 4 ul sample, blot force 6, blot time 3, drain time 1s</p>
description: Files available via S3 at https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-07-07-22/rawdata/</p>atlas2_fixedwt_serumbottle0022.mrc,  Tilt Series (Pixel Size 0.48 nm), 3.4 GB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-07-07-22/rawdata/atlas2_fixedwt_serumbottle0022.mrc"
        > <i class="download icon"></i> Download </a></p>

        atlas2_fixedwt_serumbottle0022_full.rec,  Reconstruction (Pixel Size 1.92 nm), 445.4 MB  
        
<a role="button" class="ui compact mini button" href="https://sdsc.osn.xsede.org/ini210004tommorrell/tomography_archive/psa2015-07-07-22/3dimage_58910/atlas2_fixedwt_serumbottle0022_full.rec"
        > <i class="download icon"></i> Download </a></p>