cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15547852
title: TABLE 1 in Iterative taxonomy reveals a new species of Cambeva (Siluriformes: Trichomycteridae) with intraspecific variation from the rio Piquiri and Ivaí basin, upper rio Paraná basin, Brazil

description: TABLE 1 | Morphometric data for Cambeva perobana. Values of range (minimum-maximum), mean, and standard deviation (SD). Morphotype I (n = 25), Morphotype II (n = 15).
Morphotype IMorphotype IIHolotypeMin-MaxMeanSDMin-MaxMeanSDStandard length (mm)75.927.60–79.5058.30–29.09–74.7851.42–Percent of standard lengthTrunk41.336.5–45.341.72.0439.9–41.941.20.82Preanal length71.769.7–78.073.62.1170.2–72.671.11.32Prepelvic length57.454.9–61.457.81.8355.7–59.057.01.23Pelvic-anal fins distance14.77.7–17.314.32.0913.1–15.514.41.62Caudal-peduncle length17.215.3–22.418.71.7319.7–22.021.01.40Scapular-girdle width13.612.9–18.515.51.3414.7–16.815.70.74Pectoral-fin length13.310.3–16.012.71.3111.4–15.613.61.48Pelvic-fin length7.87.5–9.78.60.667.8–9.88.80.69Anal-fin length15.413.3–16.415.10.8214.5–16.315.41.09Head length18.017.2–20.618.90.8217.2–20.518.81.38Predorsal length66.163.3–69.866.51.8263.4–66.965.01.74Body length80.979.6–86.183.21.9284.1–86.084.91.99Dorsal-fin length16.413.1–18.516.61.2116.1–18.417.21.43Body depth15.713.2–18.515.41.3813.4–16.415.21.27Dorsal-fin base length11.08.2–12.510.61.099.9–12.110.90.84Anal-fin base length9.16.8–12.99.01.247.4–10.28.60.87Caudal-peduncle depth13.711.0–16.213.41.1011.3–15.013.21.01Percent of head lengthHead width74.273.8–89.381.74.6976.4–88.081.15.43Nasal-barbel length44.836.9–74.350.89.9350.4–64.056.04.87Maxillary-barbel length53.546.7–78.557.17.5747.1–63.253.64.87Rictal-barbel length40.640.6–73.056.88.5644.2–56.850.85.32Snout length44.034.9–52.442.33.5440.3–44.742.42.20Interorbital20.120.1–29.925.12.5321.5–25.323.61.76Mouth width41.734.9–53.045.44.4934.4–52.945.84.90Eye diameter6.36.3–14.28.61.807.7–11.89.51.39Supraorbital pores s6 distance12.56.6–19.312.03.0411.6–15.513.41.91
description: Published as part of Martins, Isadora Carolina, Reis, Renan Borges dos, Stabile, Bruno Henrique Mioto & Graça, Weferson Júnio da, 2024, Neotropical Ichthyology 22 (3) on page e 230140, DOI: 10.1590/1982-0224-2023-0140, http://zenodo.org/record/15547787
DOI: 10.5281/zenodo.5525312
title: Matrix aggregation of species of  Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata registered of the Caribbean Sea and Gulf of Mexico region by Ocean Biodiversity Information Systems of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"

description: This database consists of an aggregation matrix of species from Ocean Biodiversity Information Systems using as geographic filters the Caribbean Sea region (ID 34287) and the Gulf of Mexico region (ID 34287) nomenclature and hierarchical classification of each Phyla from  World Register of Marine Species used for the calculation of average taxonomic distinction of species belonging to the Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata associated to Autonomous Reefs Monitoring Structures from the research  “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México”

*Corresponding autor: edlinguerra@gmail.com

BIS Ocean Biodiversity Information System. Available online: www.iobis.org.

Horton, T.; Gofas, S.; Kroh, A.; Poore, G.C.B.; Read, G.; Rosenberg, G.; Stöhr, S.; Bailly, N.; Boury-Esnault, N.; Brandão, S.N.; et al. Improving nomenclatural consistency: A decade of experience in the World Register of Marine Species. Eur. J. Taxon. 2017, 2017, doi:10.5852/ejt.2017.389.

was produced in collaboration with the Biodiversidad Marina de Yucatán project. https://www.bdmy.org.mx/, Universidad Nacional Autonoma de México and Escuela Nacional de Estudios Superiores
DOI: 10.5281/zenodo.5525313
title: Matrix aggregation of species of  Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata registered of the Caribbean Sea and Gulf of Mexico region by Ocean Biodiversity Information Systems of the research "Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) for capturing the biological diversity of two coral reefs in the Yucatán Península, México"

description: This database consists of an aggregation matrix of species from Ocean Biodiversity Information Systems using as geographic filters the Caribbean Sea region (ID 34287) and the Gulf of Mexico region (ID 34287) nomenclature and hierarchical classification of each Phyla from  World Register of Marine Species used for the calculation of average taxonomic distinction of species belonging to the Phyla Annelida (Polychaeta), Mollusca, Arthropoda (Decapoda, Stomatopoda, Amphipoda, and Chelicerata), and Echinodermata associated to Autonomous Reefs Monitoring Structures from the research  “Evaluation of the use of Autonomous Reef Monitoring Structures (ARMS) to estimate cryptic diversity in two coral reefs of the Yucatan Península, México”

*Corresponding autor: edlinguerra@gmail.com

BIS Ocean Biodiversity Information System. Available online: www.iobis.org.

Horton, T.; Gofas, S.; Kroh, A.; Poore, G.C.B.; Read, G.; Rosenberg, G.; Stöhr, S.; Bailly, N.; Boury-Esnault, N.; Brandão, S.N.; et al. Improving nomenclatural consistency: A decade of experience in the World Register of Marine Species. Eur. J. Taxon. 2017, 2017, doi:10.5852/ejt.2017.389.

was produced in collaboration with the Biodiversidad Marina de Yucatán project. https://www.bdmy.org.mx/, Universidad Nacional Autonoma de México and Escuela Nacional de Estudios Superiores
DOI: 10.7281/t1930rbs
title: Forced MHD Turbulence Data Set

description: The data is from a direct numerical simulation on a 10243 periodic grid of the incompressible MHD equations. (See README-MHD linked document for equations and further details.)
DOI: 10.15468/dl.u9p2qm
title: Occurrence Download

description: A dataset containing 4012735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Costa Rica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, July)",
 "OccurrenceStatus is Present",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Aves",
 "Year 2015-2025"
 ]
}

 The dataset includes 4012735 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032877-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5525/gla.researchdata.2077
title: Lucas Islands Game in Intermediate Macroeconomics

description: These supplementary materials contain files that help educators to conduct Lucas Islands class game.
Specifically, the online supplementary materials include:
(i) An editable LaTeX/PDF version of the game slides, the student instructions and answer sheet,
(ii) An Excel version of the answer sheet with protected formulas that automatically calculate real wages and hours worked,
(iii) A brief guide to using a Dropbox folder for secure, anonymous collection of completed Excel files,
(iv) A MATLAB script to read all submitted files and compile a single dataset ready to be read in Stata/R/Python.
DOI: 10.15468/dl.6aqbgg
title: Occurrence Download

description: A dataset containing 1165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IND.35_1",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Crocodylia, Squamata, Sphenodontia, Amphibia, Testudines)"
 ]
}

 The dataset includes 1165 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032907-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vf8rdv
title: Occurrence Download

description: A dataset containing 47177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "Geometry POLYGON((85 25, 87 25, 87 26, 85 26, 85 25))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47177 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032908-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24416/uu01-ulmt87
title: Replication Data for: Assessing the Impact of Grain Size on Magnetic Measurements

description: This Dataset contains all data (and more!) required to replicate the results presented in the manuscript.
All data processing is carried out in jupyter notebooks (DataProcessing_*.ipynb). Required python packages are listed at the end of this file.
We employed FIBSEM data (focused ion beam scanning electron microscopy), MicroCT (micro X-Ray computed tomography) data, and SEM (scanning electron microscopy) data for our manuscript.

The data is provided in 4 subfolders. Detailed information about the files in these subfolders as well as information on how the data is processed is given in the explanatory file Readme.txt. Contact person is Frenk Out - Researcher - f.out@uu.nl
DOI: 10.5281/zenodo.17608262
title: Datasets for finite-fault slip model and fault slip deficit model

description: Datasets for finite-fault slip model and fault slip deficit model.
DOI: 10.5281/zenodo.17607645
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-12

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-12. 

            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.17605200
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2018-03-12

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2018-03-12. 

            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: 10.15468/dl.y4q5g6
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.30_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Odocoileus virginianus"
 ]
}

 The dataset includes 170 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032911-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4m3m72
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-24.85211 -3.52691,137.85211 -3.52691,137.85211 61.52691,-24.85211 61.52691,-24.85211 -3.52691))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrobium chrysanthum"
 ]
}

 The dataset includes 110 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032912-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yr2aqv
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "TaxonKey is Brassica elongata"
 ]
}

 The dataset includes 112 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032914-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15775700
title: EU-CIEMBLY Deliverable 3.1 - Secondary Analysis of Citizen Assembly Evaluation Data - Dataset

description: This dataset was produced as part of Deliverable D3.1 under Task T3.3, WP3 of the EU-CIEMBLY project. It contains evaluation data from two citizens’ assemblies, obtained through formal data-sharing agreements with event organisers. The dataset includes:



Primary datasets provided by individual organisers, only including the variables we have utilised in our research, with all identifiable information removed. Both datasets include demographic variables and member experience variables

Harmonised and cleaned variables for comparative analysis

Derived variables produced through secondary data analysis and merging across data sources


This resource is intended to support further research into inclusive and effective practices in democratic innovations. The dataset is linked to a forthcoming deliverable (D3.3) which will reveal results and discussion of the analysis.
DOI: 10.5281/zenodo.15775699
title: EU-CIEMBLY Deliverable 3.1 - Secondary Analysis of Citizen Assembly Evaluation Data - Dataset

description: This dataset was produced as part of Deliverable D3.1 under Task T3.3, WP3 of the EU-CIEMBLY project. It contains evaluation data from two citizens’ assemblies, obtained through formal data-sharing agreements with event organisers. The dataset includes:



Primary datasets provided by individual organisers, only including the variables we have utilised in our research, with all identifiable information removed. Both datasets include demographic variables and member experience variables

Harmonised and cleaned variables for comparative analysis

Derived variables produced through secondary data analysis and merging across data sources


This resource is intended to support further research into inclusive and effective practices in democratic innovations. The dataset is linked to a forthcoming deliverable (D3.3) which will reveal results and discussion of the analysis.
DOI: 10.15468/dl.htb9g3
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dendrobium densiflorum"
 ]
}

 The dataset includes 50 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032916-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ya2fcy
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.30_1",
 "Geometry POLYGON((-106.54674 16.49767,-84.43921 16.49767,-84.43921 25.33650,-106.54674 25.33650,-106.54674 16.49767))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dasypus novemcinctus"
 ]
}

 The dataset includes 39 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032917-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xaxg5r
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nanhaia speciosa"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032918-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wd6zxc
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hynobius nigrescens"
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032919-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bwfqt
title: Occurrence Download

description: A dataset containing 9581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Crocodylus acutus"
 ]
}

 The dataset includes 9581 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032920-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17608201
title: Denormalized occurrence table of the Paleobiology Database

description: Comprehensive denormalized occurrence table built with the API of the Paleobiology Database  (http://paleobiodb.org/). Archived for the Chronosphere project by Ádám T. Kocsis. 

Downloaded on 2025-11-14 with the API call:
https://paleobiodb.org/data1.2/occs/list.csv?datainfo&rowcount&interval=Ediacaran,Holocene&show=class,classext,genus,subgenus,coll,coords,loc,paleoloc,strat,stratext,lith,env,ref,crmod,timebins,timecompare,refattr,entname,attr,ident,img,plant,abund,ecospace,taphonomy,etbasis,pres,prot,lithext,geo,methods,resgroup,refattr,ent
Contents: 

pbdb_occs.rds: occurrence table in binary R data file.
pbdb_parquet.zip: occurrence table, zipped parquet file
pbdb_csv.zip: occurrence table, zipped csv file
metadata.txt: The metadata of the download.