cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/cc8n2wv
title: CCDC 257637: Experimental Crystal Structure Determination

description: Related Article: D.Weber, E.Heller, C.Hoenke, S.Horer, P.Bauerle, V.Austel|2005|Synthesis|2005|2357|doi:10.1055/s-2005-870011
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/cc8z95p
title: CCDC 267442: Experimental Crystal Structure Determination

description: Related Article: C.Bonauer, B.Konig|2005|Synthesis|2005|2367|doi:10.1055/s-2005-870023
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.n3du38
title: Occurrence Download

description: A dataset containing 46 records in GBIF matching the query:
SELECT "year", COUNT(*) as RecordsCount 
 FROM occurrence
 WHERE "year" &gt;= 1970 
 AND level0gid = 'DMA'
 AND countrycode = 'DM'
 AND (kingdom = 'Plantae' OR kingdom = 'Animalia') 
 AND (basisOfRecord = 'OBSERVATION' OR basisOfRecord = 'LIVING_SPECIMEN' OR basisOfRecord = 'MATERIAL_SAMPLE' OR basisOfRecord = 'HUMAN_OBSERVATION' OR basisOfRecord = 'MACHINE_OBSERVATION' OR basisOfRecord = 'OCCURRENCE')
 AND occurrenceStatus = 'PRESENT' 
 AND decimalLongitude IS NOT NULL 
 AND decimalLatitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') 
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') 
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') 
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') 
 GROUP BY "year"
 ORDER BY "year"

 The dataset's 46 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024445-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/cc8z96q
title: CCDC 267443: Experimental Crystal Structure Determination

description: Related Article: C.Bonauer, B.Konig|2005|Synthesis|2005|2367|doi:10.1055/s-2005-870023
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/cc8z97r
title: CCDC 267444: Experimental Crystal Structure Determination

description: Related Article: C.Bonauer, B.Konig|2005|Synthesis|2005|2367|doi:10.1055/s-2005-870023
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/cc8z98s
title: CCDC 267445: Experimental Crystal Structure Determination

description: Related Article: C.Bonauer, B.Konig|2005|Synthesis|2005|2367|doi:10.1055/s-2005-870023
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/cc8w7hv
title: CCDC 264507: Experimental Crystal Structure Determination

description: Related Article: M.Alajarin, A.Vidal, M.-M.Ortin, D.Bautista|2005|Synthesis||2426|doi:10.1055/s-2005-870015
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/cc9bzwg
title: CCDC 278686: Experimental Crystal Structure Determination

description: Related Article: Shaowu Du, J.A.Kautz, T.D.McGrath, F.G.A.Stone|2005|Dalton Trans.||3672|doi:10.1039/b510026g
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/cc9bzxh
title: CCDC 278687: Experimental Crystal Structure Determination

description: Related Article: Shaowu Du, J.A.Kautz, T.D.McGrath, F.G.A.Stone|2005|Dalton Trans.||3672|doi:10.1039/b510026g
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/cc9bzyj
title: CCDC 278688: Experimental Crystal Structure Determination

description: Related Article: Shaowu Du, J.A.Kautz, T.D.McGrath, F.G.A.Stone|2005|Dalton Trans.||3672|doi:10.1039/b510026g
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/cc9bzzk
title: CCDC 278689: Experimental Crystal Structure Determination

description: Related Article: Shaowu Du, J.A.Kautz, T.D.McGrath, F.G.A.Stone|2005|Dalton Trans.||3672|doi:10.1039/b510026g
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/cc9c470
title: CCDC 278821: Experimental Crystal Structure Determination

description: Related Article: Xu-Dong Chen, T.C.W.Mak|2005|Dalton Trans.||3646|doi:10.1039/b510569b
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/cc9c481
title: CCDC 278822: Experimental Crystal Structure Determination

description: Related Article: Xu-Dong Chen, T.C.W.Mak|2005|Dalton Trans.||3646|doi:10.1039/b510569b
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: 10.5281/zenodo.15686422
title: QR GWAS summary statistics for the data with subtle population stratification

description: Quantile regression (QR) GWAS summary statistics from the study "Quantile-specific confounding: correction for subtle population stratification via quantile regression". The study has been published and is available at https://doi.org/10.1093/genetics/iyaf138.

Summary statistics

The tab-delimited text files (gzipped) are QR GWAS summary statistics.



Column "CHR": chromosome

Column "POS": based pair position

Column "ID": variant ID

Column "A2": non-effect allele

Column "A1": effect allele tested in GWAS

Column "P_LR": p-value of the linear regression (LR) association statistic

Column "P_QR": integrated p-value of the quantile regression (QR) model across multiple quantile levels.

Columns from "P_Q10" to "P_Q90": quantile-specific QR p-value for the quantile levels 0.1, 0.2, ..., 0.9 (10th, 20th, ..., 90th quantiles).
DOI: 10.5281/zenodo.15686421
title: QR GWAS summary statistics for the data with subtle population stratification

description: Quantile regression (QR) GWAS summary statistics from the study "Quantile-specific confounding: correction for subtle population stratification via quantile regression". The study has been published and is available at https://doi.org/10.1093/genetics/iyaf138.

Summary statistics

The tab-delimited text files (gzipped) are QR GWAS summary statistics.



Column "CHR": chromosome

Column "POS": based pair position

Column "ID": variant ID

Column "A2": non-effect allele

Column "A1": effect allele tested in GWAS

Column "P_LR": p-value of the linear regression (LR) association statistic

Column "P_QR": integrated p-value of the quantile regression (QR) model across multiple quantile levels.

Columns from "P_Q10" to "P_Q90": quantile-specific QR p-value for the quantile levels 0.1, 0.2, ..., 0.9 (10th, 20th, ..., 90th quantiles).
DOI: 10.15468/dl.9fqcn4
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((15.62395 37.79106,17.12355 37.79106,17.12355 39.10618,15.62395 39.10618,15.62395 37.79106))",
 "TaxonKey is Caretta caretta"
 ]
}

 The dataset includes 41 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022936-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17557641
title: Underwater images collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-26

description: This dataset was collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-26. 

            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: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 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.17557682
title: Underwater images collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-26

description: This dataset was collected by  Scuba diving in Rodrigues-Saint-Francois, Mauritius - 2019-05-26. 

            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: 

                GPX file from Garmin watch.
            
                    
                

                
            

            
 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: 10.57967/hf/6919
title: OpenTextVault
DOI: 10.6084/m9.figshare.30571985
title: Sensitive detection of amyloid β using a conformational antibody by modulating the aggregates with low concentrations of surfactants

description: This dataset includes ELISA absorbance values, Thioflavin T fluorescence kinetics, and surfactant concentration-dependent reactivity data used in the study investigating the modulation of amyloid β aggregation and antibody sensitivity.
DOI: 10.6084/m9.figshare.30571985.v1
title: Sensitive detection of amyloid β using a conformational antibody by modulating the aggregates with low concentrations of surfactants

description: This dataset includes ELISA absorbance values, Thioflavin T fluorescence kinetics, and surfactant concentration-dependent reactivity data used in the study investigating the modulation of amyloid β aggregation and antibody sensitivity.
DOI: 10.6084/m9.figshare.30571955
title: <b>A multi-level emotion-driven v</b><b>oice </b><b>c</b><b>loning </b><b>method based on adaptive grouped code modeling </b>[Code]

description: <b>A multi-level emotion-driven v</b><b>oice </b><b>c</b><b>loning </b><b>method based on adaptive grouped code modeling </b>[Code]
DOI: 10.6084/m9.figshare.30571955.v2
title: Voice cloning with multi-head self-attention and bidirectional long short-term memory network-enhanced normalizing flows [Code]

description: Voice cloning with multi-head self-attention and bidirectional long short-term memory network-enhanced normalizing flows [Code]
DOI: 10.6084/m9.figshare.30571955.v3
title: <b>A multi-level emotion-driven v</b><b>oice </b><b>c</b><b>loning </b><b>method based on adaptive grouped code modeling </b>[Code]

description: <b>A multi-level emotion-driven v</b><b>oice </b><b>c</b><b>loning </b><b>method based on adaptive grouped code modeling </b>[Code]
DOI: 10.15468/dl.thsffx
title: Occurrence Download

description: A dataset containing 3495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spodoptera frugiperda)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 3495 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022938-251025141854904/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.30571988
title: <b>Complementarity and selection effects suppress early- but facilitate late-stage invasion</b>

description: Plant invasion is a major threat to biodiversity and ecosystem functioning. While native community diversity is often linked to greater invasion resistance, the underlying mechanisms—the roles of complementarity and selection effects across invasion stages—remain unclear. Here, we assembled native plant communities varying in species richness and introduced non-native seeds to quantify invasion performance at two stages: germination (early) and biomass production (late). We also quantified the complementarity and selection effects among native species before and after invasion to explore how diversity shapes invasion dynamics. Our results showed that higher native diversity generally exhibited stronger invasion resistance. Notably, complementarity and selection effects among natives significantly suppressed early non-native establishment (i.e., germination) but unexpectedly promoted later biomass accumulation. These findings underscore the importance of incorporating stage-dependent dynamics and community feedbacks into invasion frameworks, highlighting that maintaining both high diversity and dominant native species is critical for strengthening community resistance to invasion.
DOI: 10.6084/m9.figshare.30571988.v1
title: <b>Complementarity and selection effects suppress early- but facilitate late-stage invasion</b>

description: Plant invasion is a major threat to biodiversity and ecosystem functioning. While native community diversity is often linked to greater invasion resistance, the underlying mechanisms—the roles of complementarity and selection effects across invasion stages—remain unclear. Here, we assembled native plant communities varying in species richness and introduced non-native seeds to quantify invasion performance at two stages: germination (early) and biomass production (late). We also quantified the complementarity and selection effects among native species before and after invasion to explore how diversity shapes invasion dynamics. Our results showed that higher native diversity generally exhibited stronger invasion resistance. Notably, complementarity and selection effects among natives significantly suppressed early non-native establishment (i.e., germination) but unexpectedly promoted later biomass accumulation. These findings underscore the importance of incorporating stage-dependent dynamics and community feedbacks into invasion frameworks, highlighting that maintaining both high diversity and dominant native species is critical for strengthening community resistance to invasion.
DOI: 10.15468/dl.b8a6kv
title: Occurrence Download

description: A dataset containing 33519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Plantae",
 "BasisOfRecord is one of (Fossil, Material sample)",
 {
 "not" : {
 "TaxonKey" : [
 "is one of (Fungi, Viruses)"
 ]
 }
 }
 ]
}

 The dataset includes 33519 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022935-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9qqy2
title: Occurrence Download

description: A dataset containing 8394143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Occurrence evidence)",
 "Geometry POLYGON((-62.4153 15.39488,-33.93487 -0.34286,-28.92416 -6.67883,-41.86392 -27.99137,-55.56484 -45.24439,21.81999 -44.48322,18.2679 -39.91625,18.2679 -39.15509,9.6414 -16.82766,7.35791 -5.66395,1.26861 1.18651,-8.11906 -0.41043,-21.54417 13.71743,-13.96569 39.45155,-11.67115 47.10997,-13.44719 58.27369,-12.93975 60.04973,-31.46137 63.09438,-43.63996 55.48276,-53.02763 55.22904,-47.6995 46.60253,-62.66902 39.75207,-67.48972 37.46858,-75.60878 29.85696,-62.4153 15.39488))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8394143 records from 2314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022926-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2qf-4w7-bxx
title: Elephas Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zl8-91s-nhh
title: Cervus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rty-lj6-8av
title: Bovidae Gray, 1821

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bz3-gtt-yjf
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.