cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc51drb
title: CCDC 150311: Experimental Crystal Structure Determination

description: Related Article: J.S.Casas, E.Garcia-Martinez, M.S.Garcia-Tasende, A.Sanchez, J.Sordo, E.M.Vazquez-Lopez, M.J.Vidarte|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|932|doi:10.1107/S0108270100007058
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51dsc
title: CCDC 150312: Experimental Crystal Structure Determination

description: Related Article: M.Abul-Haj, M.Quiros, J.M.Salas|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|934|doi:10.1107/S0108270100007198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51dtd
title: CCDC 150313: Experimental Crystal Structure Determination

description: Related Article: V.M.Leovac, G.A.Bogdanovic, V.I.Cesljevic, V.Divjakovic|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|936|doi:10.1107/S0108270100007228
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51dvf
title: CCDC 150314: Experimental Crystal Structure Determination

description: Related Article: Fangfang Jian, Lude Lu, Xin Wang, S.Shanmuga Sundara Raj, I.A.Razak, Hoong-Kun Fun|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|939|doi:10.1107/S0108270100007319
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51dwg
title: CCDC 150315: Experimental Crystal Structure Determination

description: Related Article: Xi-Rui Zeng, S.Shanmuga Sundara Raj, Hoong-Kun Fun, Jing-Lin Zuo, Xiao-Zeng You|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|941|doi:10.1107/S0108270100007460
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51dxh
title: CCDC 150316: Experimental Crystal Structure Determination

description: Related Article: Xi-Rui Zeng, Ren-Geng Xiong, Yan Xu, Yong-Jiang Liu, Xiao-Zeng You|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|943|doi:10.1107/S0108270100007964
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51dyj
title: CCDC 150317: Experimental Crystal Structure Determination

description: Related Article: J.H.Aupers, G.Ferguson, C.Glidewell, J.N.Low, J.L.Wardell|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|945|doi:10.1107/S0108270100007320
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51dzk
title: CCDC 150318: Experimental Crystal Structure Determination

description: Related Article: V.T.Yilmaz, A.Karadag, C.Thone, R.Herbst-Irmer|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|948|doi:10.1107/S0108270100007289
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc51f0m
title: CCDC 150319: Experimental Crystal Structure Determination

description: Related Article: Y.Elerman, H.Kara, S.Ozcan, E.Kendi|2000|Acta Crystallogr.,Sect.C:Cryst.Struct.Commun.|56|950|doi:10.1107/S0108270100007411
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.46x47q
title: Occurrence Download

description: A dataset containing 114778152 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 114778152 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003632-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvptmt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kiliasia tristis)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024488-260208012135463/datasets/export for details.
DOI: 10.15468/dl.ft5fd9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bacidia friesiana)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024489-260208012135463/datasets/export for details.
DOI: 10.15468/dl.nwedec
title: Occurrence Download

description: A dataset containing 1368 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "GadmGid is THA.11.10_1"
 ]
}

 The dataset includes 1368 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024490-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zh6u6
title: Occurrence Download

description: A dataset containing 234 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium parishii"
 ]
}

 The dataset includes 234 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024491-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.22673.70243
title: Imprismment of the God of Israel
DOI: 10.5281/zenodo.17560103
title: Underwater images collected by a Kite surf in Le-Morne-La-Pointe-Platin-Rouge, Mauritius - 2019-08-10

description: This dataset was collected by a Kite surf in Le-Morne-La-Pointe-Platin-Rouge, Mauritius - 2019-08-10. 

            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.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 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: 10.5281/zenodo.17560289
title: Underwater images collected by a Kite surf in Le-Morne-La-Pointe-Platin-Rouge, Mauritius - 2019-08-10

description: This dataset was collected by a Kite surf in Le-Morne-La-Pointe-Platin-Rouge, Mauritius - 2019-08-10. 

            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.

            
                
                                       
                
                
 GPS information: 

                No GPS.
            
                    
                

                
            

            
 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: 10.5281/zenodo.17560427
title: Variational Quantum Eigensolver Achieves Chemical Accuracy for LiH on Noisy Quantum Simulator
DOI: 10.5281/zenodo.17560428
title: Variational Quantum Eigensolver Achieves Chemical Accuracy for LiH on Noisy Quantum Simulator
DOI: 10.5281/zenodo.17059284
title: Deep learning models for predicting Toxicity and Bioactivity of the chemical exposome: a case study for the Blood Exposome Database

description: Input datasets and result tables for the publication on predicting toxicity and bioactivity for the compounds in the blood exposome database. 

 

Table 2: GHS classification (make an extra column with training vs test tags also add compound properties to this table). CIDs in this table have been deduplicated. 

Table 3: Tox21 input data (see final output table and create a similar matrix just with train and test tags)

Table 4a: Tox21 compound data (properties of compounds)

Table 4b: Tox21 compound bioactivity data

Tables 5: Tox21 assay list with AUC values and calculated optimal threshold for activity classification (44 assays show AUC over 0.80) 

Table6a: Tox21 predictions for Blood exposome (raw values)

Table6b: Tox21 predictions for Blood exposome (binary values with optimal thresholds applied Note: Duplicate CIDs were included

Table7a: GHS model predictions for blood exposome compounds (raw values)

Table 7b:  GHS model predictions for blood exposome compounds (binary values) Note: Duplicate CIDs were included 

Table 8 : Compound frequency by assay

Table 9: Tox21 – Blood exposome-GHS overlap  (Table goes to zenodo) (Should be based on CID no need to smiles standardization)
DOI: 10.5281/zenodo.17560382
title: Deep learning models for predicting Toxicity and Bioactivity of the chemical exposome: a case study for the Blood Exposome Database

description: Input datasets and result tables for the publication on predicting toxicity and bioactivity for the compounds in the blood exposome database. 

 

Table 2: GHS classification (make an extra column with training vs test tags also add compound properties to this table). CIDs in this table have been deduplicated. 

Table 3: Tox21 input data (see final output table and create a similar matrix just with train and test tags)

Table 4a: Tox21 compound data (properties of compounds)

Table 4b: Tox21 compound bioactivity data

Tables 5: Tox21 assay list with AUC values and calculated optimal threshold for activity classification (44 assays show AUC over 0.80) 

Table6a: Tox21 predictions for Blood exposome (raw values)

Table6b: Tox21 predictions for Blood exposome (binary values with optimal thresholds applied Note: Duplicate CIDs were included

Table7a: GHS model predictions for blood exposome compounds (raw values)

Table 7b:  GHS model predictions for blood exposome compounds (binary values) Note: Duplicate CIDs were included 

Table 8 : Compound frequency by assay

Table 9: Tox21 – Blood exposome-GHS overlap  (Table goes to zenodo) (Should be based on CID no need to smiles standardization)
DOI: 10.6084/m9.figshare.30573041
title: <b>Predicting bird functional diversity across North America: An assembly rules approach integrating ecological processes</b>

description: This dataset contains all input data and R scripts used to reproduce the analyses in Escobar et al., which evaluate how different ecological assembly rules (environmental filtering, competition, and abundance–suitability relationships) predict observed functional diversity in bird communities across North America.The dataset includes standardized macroecological model (MEM) inputs, species suitability matrices, trait-based functional diversity data, and simulation scripts for three community assembly scenarios. Functional diversity metrics—functional dispersion (FDis), functional richness (FRic), and Rao’s quadratic entropy (RaoQ)—were computed for both observed and simulated assemblages using four PCoA trait axes derived from ten morphological and ecological traits of 102 Emberizoidea species.
DOI: 10.6084/m9.figshare.30573041.v1
title: <b>Predicting bird functional diversity across North America: An assembly rules approach integrating ecological processes</b>

description: This dataset contains all input data and R scripts used to reproduce the analyses in Escobar et al., which evaluate how different ecological assembly rules (environmental filtering, competition, and abundance–suitability relationships) predict observed functional diversity in bird communities across North America.The dataset includes standardized macroecological model (MEM) inputs, species suitability matrices, trait-based functional diversity data, and simulation scripts for three community assembly scenarios. Functional diversity metrics—functional dispersion (FDis), functional richness (FRic), and Rao’s quadratic entropy (RaoQ)—were computed for both observed and simulated assemblages using four PCoA trait axes derived from ten morphological and ecological traits of 102 Emberizoidea species.
DOI: 10.15468/dl.gczv8t
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Colchicum baytopiorum"
 ]
}

 The dataset includes 26 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023253-251025141854904/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/13660064
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.hwvz2z
title: Occurrence Download

description: A dataset containing 1501 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carijoa riisei"
 ]
}

 The dataset includes 1501 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023256-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17555567
title: Intrinsic alignment amplitude vs luminosity (MegaZ SDSS; Joachimi et al. 2011)

description: Dataset compiled by the echoIA Collaboration under the aia-lum schema.Contains intrinsic alignment amplitude measurements as a function of luminosityfor the MegaZ-LRG sample, derived from Joachimi et al. (2011), "Constraints on intrinsic alignment contamination of weak lensing surveys using the MegaZ-LRG sample", A&A 527, A26 (2011), 10.1051/0004-6361/201015621.Values were digitized and reformatted into a uniform tabular dataset with metadata for reuse in intrinsic alignment analyses.The echoIA Collaboration does not claim ownership of the original measurements; please citethe source publication(s) when using these data.
DOI: 10.5281/zenodo.17555530
title: Intrinsic alignment amplitude vs luminosity (MegaZ SDSS; Joachimi et al. 2011)

description: Dataset compiled by the echoIA Collaboration under the aia-lum schema.Contains intrinsic alignment amplitude measurements as a function of luminosityfor the MegaZ-LRG sample, derived from Joachimi et al. (2011), "Constraints on intrinsic alignment contamination of weak lensing surveys using the MegaZ-LRG sample", A&A 527, A26 (2011), 10.1051/0004-6361/201015621.Values were digitized and reformatted into a uniform tabular dataset with metadata for reuse in intrinsic alignment analyses.The echoIA Collaboration does not claim ownership of the original measurements; please citethe source publication(s) when using these data.
DOI: 10.15468/dl.ct6pf7
title: Occurrence Download

description: A dataset listing the 212 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-71.34292 44.22822,-71.29435 44.22822,-71.29435 44.33929,-71.34292 44.33929,-71.34292 44.22822))",
 "Geometry POLYGON((-71.3497 44.21591,-71.27472 44.21591,-71.27472 44.34165,-71.3497 44.34165,-71.3497 44.21591))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset's 212 records were derived from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023252-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17555427
title: Intrinsic alignment amplitude vs luminosity (KiDS GAMA; Johnston et al. 2019)

description: Dataset compiled by the echoIA Collaboration under the aia-lum schema.Contains intrinsic alignment amplitude measurements as a function of luminosity for KiDS+GAMA dataset, derived from Johnston et al. (2019), "KiDS+GAMA: Intrinsic alignment model constraints for current and future weak lensing cosmology", A&A 624, A30 (2019), https://doi.org/10.1051/0004-6361/201834714".Values were digitized and reformatted into a uniform tabular dataset with metadata for reuse in intrinsic alignment analyses.The echoIA Collaboration does not claim ownership of the original measurements; please citethe source publication(s) when using these data.