cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6349084
title: S0 | SUSDAT | Merged NORMAN Suspect List: SusDat

description: This is the collection associated with list S0 SUSDAT on the NORMAN Suspect List Exchange. UPDATED Jan 18, 2022 to latest version. (v0.4.1 fixed erroneous SMILES for NS00114302, v0.4.2 updated structural info for DTXSID90703694). June 18th, 2020 to include new 97K entries and all lists up to S70. March 3, 2020 to include Hazard and Exposure values from Stellan Fischer, KEMI. Nov 20, 2019 with InChIKey correction to Nov 1 version including new fragmentation information from Reza. DTXSIDs did not change (one truncated InChIKey fixed only). Update 6 Nov 2020: minor synonym changes to June 18 2020 files, reported by PubChem. Update 23 Feb 2021: removed two NA SMILES for SWVMFUJFAGAJCE-UHFFFAOYSA-N and JNYZDNIARSRXLF-GKMGLNRASA-N. https://www.norman-network.com/nds/SLE/ and https://www.norman-network.com/nds/susdat/ S0 SUSDAT <strong>Merged NORMAN Suspect List: SusDat</strong> Interactive Data table (csv of latest version included in dataset here) The InChIKey and DTXSID files support suspect screening via MetFrag and CompTox (https://comptox.epa.gov/dashboard/chemical_lists/susdat) Compiled by Reza Aalizadeh, University of Athens, including RTI and toxicity values, support by Nikiforos Alygizakis, EI. <em>Work in progress ... please report any issues!</em>
description: This is a massive collaborative effort with many contributions! This dataset merges other entries in this collection.
DOI: 10.5281/zenodo.6853705
title: S0 | SUSDAT | Merged NORMAN Suspect List: SusDat

description: This is the collection associated with list S0 SUSDAT on the NORMAN Suspect List Exchange. UPDATED Jan 18, 2022 to latest version. (v0.4.1 fixed erroneous SMILES for NS00114302, v0.4.2 updated structural info for DTXSID90703694). June 18th, 2020 to include new 97K entries and all lists up to S70. March 3, 2020 to include Hazard and Exposure values from Stellan Fischer, KEMI. Nov 20, 2019 with InChIKey correction to Nov 1 version including new fragmentation information from Reza. DTXSIDs did not change (one truncated InChIKey fixed only). Update 6 Nov 2020: minor synonym changes to June 18 2020 files, reported by PubChem. Update 23 Feb 2021: removed two NA SMILES for SWVMFUJFAGAJCE-UHFFFAOYSA-N and JNYZDNIARSRXLF-GKMGLNRASA-N. Update 18 July 2022: fixed several SMILES (see pc-report-114791). https://www.norman-network.com/nds/SLE/ and https://www.norman-network.com/nds/susdat/ S0 SUSDAT <strong>Merged NORMAN Suspect List: SusDat</strong> Interactive Data table (csv of latest version included in dataset here) The InChIKey and DTXSID files support suspect screening via MetFrag and CompTox (https://comptox.epa.gov/dashboard/chemical_lists/susdat) Compiled by Reza Aalizadeh, University of Athens, including RTI and toxicity values, support by Nikiforos Alygizakis, EI. <em>Work in progress ... please report any issues!</em>
description: This is a massive collaborative effort with many contributions! This dataset merges other entries in this collection.
DOI: 10.15468/dl.wubk86
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "TaxonKey is Fucus serratus L."
 ]
}

 The dataset includes 212 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017523-250525065834625/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/12046001
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.15468/dl.yvrvue
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017522-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5522/04/28738931
title: CYCLEGYRO Dataset

description: This dataset consists of multivariate time series data featuring gyroscope measurements collected during cycling. It contains 414 data samples. The original data was collected as part of UCL’s 100 Cyclists Project which seeks to understand the factors affecting crash risk in cycling through the analysis of detailed near miss data. In total, 64 participants were recruited, who used a GoPro Max panoramic camera mounted on their helmet to collect video and movement data while riding in London. The CYCLEGYRO dataset was built by extracting gyroscope clips from the IMU of the GoPro camera. These gyroscope clips contain 199 positive (there is one or more head movement) and 215 negative (there is no head movement) samples. Each sample is basically a three dimentional signal.
DOI: 10.5522/04/28738931.v1
title: CYCLEGYRO Dataset

description: This dataset consists of multivariate time series data featuring gyroscope measurements collected during cycling. It contains 414 data samples. The original data was collected as part of UCL’s 100 Cyclists Project which seeks to understand the factors affecting crash risk in cycling through the analysis of detailed near miss data. In total, 64 participants were recruited, who used a GoPro Max panoramic camera mounted on their helmet to collect video and movement data while riding in London. The CYCLEGYRO dataset was built by extracting gyroscope clips from the IMU of the GoPro camera. These gyroscope clips contain 199 positive (there is one or more head movement) and 215 negative (there is no head movement) samples. Each sample is basically a three dimentional signal.
DOI: 10.5281/zenodo.15583545
title: Codes and data for nonlocal Fokker-Planck equation and Keller-Segel system for the approximation in one-dimensional bounded domain
DOI: 10.5281/zenodo.15583546
title: Codes and data for nonlocal Fokker-Planck equation and Keller-Segel system for the approximation in one-dimensional bounded domain
DOI: 10.6096/4017
title: Sea2Cloud - Seawater - Tangaroa - DMS - Level 1

description: The file contains the datetime, latitude, longitude, depth and seawater DMS concentrations (in nM) sampled during the Sea2Cloud campaign. Seawater DMS samples were collected at 5 meters in depth every 1-2 days, determined from CTD (conductivity, temperature, and depth sensor) measurements, and then analyzed with an Agilent Technology 6850 Gas Chromatography coupled to an Agilent 355 Sulfur Chemiluminescent Detector. More information about seawater DMS samples calibration can be found in Saint-Macary et al. (2023).
DOI: 10.34740/kaggle/dsv/12046057
title: Public Opinion on Climate Change (Updated Daily)
DOI: 10.6096/4018
title: Sea2Cloud - Seawater - DMS climatologies

description: The file contains the latitude, longitude and monthly surface seawater DMS concentrations (UITZ) in nM for February and March, calculated using a new parameterization of oceanic DMS as a function of marine biological activity (the nanophytoplankton cell abundance) as identified in the Rocco et al. (2025) paper. Nanophytoplankton cell abundance to compute surface seawater DMS concentrations was derived from satellite data (Sellegri et al., 2021; Uitz et al., 2006) retrieved from 2007 to 2017. A corrected version of this climatology (UITZ_Phyto-corr) is also provided here, using a correction factor of 1.4 based on the linear regression between satellite-retrieved and in-situ observations (Rose et al., in revision, submitted to JGR-Atmosphere, Paper# 2024JD042088). The spatial resolution is 0.0833° for both climatologies.
DOI: 10.6096/4019
title: Sea2Cloud - Seawater - Tangaroa - Nanophytoplankton - Level 1

description: The file contains the datetime and nanophytoplankton concentrations (in cells/mL) sampled during the Sea2Cloud campaign. The abundance of nanophytoplankton cells was determined using flow cytometry analysis of sampled collected every 4 hours from the underway system (Sellegri et al., 2023). More information about the methodology can be found in Safi et al. (2023) and Sellegri et al. (2023).
DOI: 10.25574/28192
title: Chandra X-ray Observatory ObsId 28192

description: COMPTON-THICK AGN: THE HUNT CONTINUES
DOI: 10.5281/zenodo.15583741
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603k Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603k Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15583742
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250603k Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250603k Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.q6vcwn
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017525-250525065834625/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.28870454
title: Quantum Entropic Decay Test of Virtual Particle–Antiparticle Pair under Anti-Time Phase Modulation

description: This simulation investigates the entropic decay behavior of a virtual particle–antiparticle pair under anti-time phase modulation using IBM Quantum Composer. The pair is initially entangled, simulating a vacuum fluctuation as described in the theoretical anti-time model. Controlled phase shifts (U1 gates) are applied to both qubits, representing anti-time's influence. The measurement results are designed to reveal the information degradation and entanglement collapse, which are central to the hypothesis that anti-time dissolves virtual pairs before they can transition into real particles. This experiment aims to model the quantum information loss associated with anti-time interactions and supports the entropy-based annihilation pathway proposed in the theory.
DOI: 10.15468/dl.cmbdxh
title: Occurrence Download

description: A dataset containing 8322 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"BASIS_OF_RECORD","value":"HumanObservation","matchCase":false},{"type":"equals","key":"TAXON_KEY","value":"2434813","matchCase":false}]}

 The dataset includes 8322 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001686-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yy8nuf
title: Occurrence Download

description: A dataset containing 479 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kellicottia bostoniensis (Rousselet, 1908)"
 ]
}

 The dataset includes 479 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007398-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhw46k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mayaheros beani",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035038-251025141854904/datasets/export for details.
DOI: 10.15468/dl.c7fqqf
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.2188 24.14913, -107.0688 24.14913, -107.0688 24.29913, -107.2188 24.29913, -107.2188 24.14913))"
 ]
}

 The dataset includes 162 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035039-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30627071
title: figure

description: environmental photochemistry<br>
DOI: 10.6084/m9.figshare.30627071.v1
title: figure

description: environmental photochemistry<br>
DOI: 10.15468/dl.epwmb4
title: Occurrence Download

description: A dataset containing 279 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "GadmGid is one of (IRN.8_1, IRN.20_1, IRN.9_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Acer, Acer cappadocicum)"
 ]
}

 The dataset includes 279 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035041-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fj4ej2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mayaheros urophthalmus",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035042-251025141854904/datasets/export for details.
DOI: 10.15468/dl.bbme49
title: Occurrence Download

description: A dataset containing 578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Cotoneaster coriaceus"
 ]
}

 The dataset includes 578 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035043-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uku5xe
title: Occurrence Download

description: A dataset containing 1970 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.8188 24.29913, -110.6688 24.29913, -110.6688 24.44913, -110.8188 24.44913, -110.8188 24.29913))"
 ]
}

 The dataset includes 1970 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035044-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17615321
title: CDS annotation of Asgard genomes from NCBI Datasets above 50% completeness

description: Prokka CDS annotation of Asgard Archaeal Genomes available in NCBI Datasets filtered with thresholds: 50% completeness and 10% contamination
DOI: 10.5281/zenodo.17615322
title: CDS annotation of Asgard genomes from NCBI Datasets above 50% completeness

description: Prokka CDS annotation of Asgard Archaeal Genomes available in NCBI Datasets filtered with thresholds: 50% completeness and 10% contamination
DOI: 10.15468/dl.aa49pp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maylandia estherae",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035045-251025141854904/datasets/export for details.
DOI: 10.15468/dl.f2e9sh
title: Occurrence Download

description: A dataset containing 842 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.6688 24.29913, -110.5188 24.29913, -110.5188 24.44913, -110.6688 24.44913, -110.6688 24.29913))"
 ]
}

 The dataset includes 842 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035046-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qeunc
title: Occurrence Download

description: A dataset containing 909 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Chapter 7: Linnaean Plant Names and their Types (part A)"
 ]
}

 The dataset includes 909 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035048-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17615308
title: Underwater images collected by a Kite surf in Le-Morne-Passe-Saint-Jacques, Mauritius - 2019-03-24

description: This dataset was collected by a Kite surf in Le-Morne-Passe-Saint-Jacques, Mauritius - 2019-03-24. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
DOI: 10.15468/dl.tuf8uk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maylandia greshakei",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035049-251025141854904/datasets/export for details.
DOI: 10.15468/dl.ztye7s
title: Occurrence Download

description: A dataset containing 1807 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.5188 24.29913, -110.3688 24.29913, -110.3688 24.44913, -110.5188 24.44913, -110.5188 24.29913))"
 ]
}

 The dataset includes 1807 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035050-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfgcuy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maylandia lombardoi",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035051-251025141854904/datasets/export for details.
DOI: 10.15468/dl.rbb5nb
title: Occurrence Download

description: A dataset containing 238 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "GadmGid is one of (IRN.8_1, IRN.20_1, IRN.9_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acer velutinum"
 ]
}

 The dataset includes 238 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035052-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cf2hkz
title: Occurrence Download

description: A dataset containing 19518 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-110.3688 24.29913, -110.2188 24.29913, -110.2188 24.44913, -110.3688 24.44913, -110.3688 24.29913))"
 ]
}

 The dataset includes 19518 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035053-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxuv2n
title: Occurrence Download

description: A dataset containing 350 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Dimorphotheca fruticosa"
 ]
}

 The dataset includes 350 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035054-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28955795
title: A parcel-level cropland dataset with field shape indicators for Xizang (Tibet) from VHR remote sensing

description: This is a parcel-level dataset of cropland in Xizang, China, and includes the field shape indicators of each parcel. The vector data are stored in ESRI Shapefile format, which can be visualized and edited using software such as ArcGIS Pro, ArcMap, and QGIS. Field shape indicators are further recorded in Excel tables, with unique FIDs for data-parcel associations.
DOI: 10.6084/m9.figshare.28955795.v1
title: A parcel-level cropland dataset with field shape indicators for Xizang (Tibet) from VHR remote sensing

description: This is a parcel-level dataset of cropland in Xizang, China, and includes the field shape indicators of each parcel. The vector data are stored in ESRI Shapefile format, which can be visualized and edited using software such as ArcGIS Pro, ArcMap, and QGIS. Field shape indicators are further recorded in Excel tables, with unique FIDs for data-parcel associations.