cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-28947
title: 6.1. Hubert Williams materials (2 of 3), 1987-11-18

description: "Review of administrative processes of the Tampa police department" Washington, DC: Police Foundation, 1987 November 18. 6.1. Hubert Williams materials (2 of 3), 1987 November 18. PART OF A SERIES: The series pertains to the work of Munger, Tolles & Olson, the firm responsible for coordinating the activities and proceedings of the Independent Commission's legal counsel. Included are legal briefs, court transcripts, and memoranda; press releases and article clippings about the Rodney King incident and the subsequent creation of the Independent Commission; summaries of witness interviews; analyses of legislation regarding the role and purview of peace officers; work plans and outlines developed by Commission staff; draft copies developed for all sections of the Commission report; supplemental materials for the report, including a copy of the Rodney King arrest log, law enforcement literature, and public opinion surveys; materials distributed and reviewed during Commission meetings; letters of interest submitted to Chairman Christopher from prospective Commission members and organizations; and lists of bills and Commission expenditures.
DOI: 10.15468/dl.3t4ews
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lybia tessellata (Latreille, 1812)"
 ]
}

 The dataset includes 381 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055788-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vabm3c
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Algyroides marchi Valverde, 1958"
 ]
}

 The dataset includes 246 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002816-150221044754056/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4waxss
title: Occurrence Download

description: A dataset containing 3492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Athetis hospes (Freyer, 1831), Proxenus hospes Freyer, 1831)",
 "Year 1970-2023"
 ]
}

 The dataset includes 3492 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010219-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-28930
title: 6.1. Hubert Williams materials (2 of 3), 1987-11-18

description: "Review of administrative processes of the Tampa police department" Washington, DC: Police Foundation, 1987 November 18. 6.1. Hubert Williams materials (2 of 3), 1987 November 18. PART OF A SERIES: The series pertains to the work of Munger, Tolles & Olson, the firm responsible for coordinating the activities and proceedings of the Independent Commission's legal counsel. Included are legal briefs, court transcripts, and memoranda; press releases and article clippings about the Rodney King incident and the subsequent creation of the Independent Commission; summaries of witness interviews; analyses of legislation regarding the role and purview of peace officers; work plans and outlines developed by Commission staff; draft copies developed for all sections of the Commission report; supplemental materials for the report, including a copy of the Rodney King arrest log, law enforcement literature, and public opinion surveys; materials distributed and reviewed during Commission meetings; letters of interest submitted to Chairman Christopher from prospective Commission members and organizations; and lists of bills and Commission expenditures.
DOI: 10.17632/7grgkdctzh.1
title: The ABCF proteins in Escherichia coli individually address "hard-to-translate" nascent peptide sequences.

description: Data sources
DOI: 10.15468/dl.ja1zup
title: Occurrence Download

description: A dataset containing 741 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arthropoda",
 "Country is Eritrea"
 ]
}

 The dataset includes 741 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002816-150504100648427/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-28843
title: 6.1. Hubert Williams materials (2 of 3), 1987-11-18

description: "Review of administrative processes of the Tampa police department" Washington, DC: Police Foundation, 1987 November 18. 6.1. Hubert Williams materials (2 of 3), 1987 November 18. PART OF A SERIES: The series pertains to the work of Munger, Tolles & Olson, the firm responsible for coordinating the activities and proceedings of the Independent Commission's legal counsel. Included are legal briefs, court transcripts, and memoranda; press releases and article clippings about the Rodney King incident and the subsequent creation of the Independent Commission; summaries of witness interviews; analyses of legislation regarding the role and purview of peace officers; work plans and outlines developed by Commission staff; draft copies developed for all sections of the Commission report; supplemental materials for the report, including a copy of the Rodney King arrest log, law enforcement literature, and public opinion surveys; materials distributed and reviewed during Commission meetings; letters of interest submitted to Chairman Christopher from prospective Commission members and organizations; and lists of bills and Commission expenditures.
DOI: 10.15468/dl.cngpv6
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tamiops maritimus (Bonhote, 1900)"
 ]
}

 The dataset includes 144 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055806-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rptd75
title: Occurrence Download

description: A dataset containing 181846 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Miscellaneous records held by BIS"
 ]
}

 The dataset includes 181846 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020168-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxhwg2
title: Occurrence Download

description: A dataset containing 180896 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is CA des structures-Observations opportunistes de la structure : NaturEssonne"
 ]
}

 The dataset includes 180896 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020166-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11154771
title: Underwater images collected by  Scuba diving in Hermitage, Réunion - 2021-03-17

description: This dataset was collected by  Scuba diving in Hermitage, Réunion - 2021-03-17. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.5281/zenodo.11154967
title: Underwater images collected by  Scuba diving in Hermitage, Réunion - 2021-04-01

description: This dataset was collected by  Scuba diving in Hermitage, Réunion - 2021-04-01. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.6084/m9.figshare.28778765
title: Supplementary material for: "Reduced male pheromone production and an increased female ratio promote same-sex sexual behaviour in male Indian meal moths"

description: Experimental evolution was used to study male same-sex sexual behaviour (SSSB). Male SSSB frequency increased when females were present in the arena. Males missing hair pencils were subject to more rival male mating attempts.Findings highlight the role of male pheromones in close-range sex identification. SSSBs may be an outcome of a promiscuous mating system.
DOI: 10.5281/zenodo.11155192
title: Underwater images collected by  Scuba diving in Hermitage, Réunion - 2021-04-01

description: This dataset was collected by  Scuba diving in Hermitage, Réunion - 2021-04-01. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.5517/ccdc.csd.cc2m1j07
title: CCDC 2414528: Experimental Crystal Structure Determination

description: Related Article: Alexandre N. Sobolev, Ahmed H. Mageed, Murray V. Baker|2025|CSD Communication|||
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.su9nd7
title: Occurrence Download

description: A dataset containing 3506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asparagus cochinchinensis (Lour.) Merr.",
 "Year 1000-2025"
 ]
}

 The dataset includes 3506 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017493-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11155535
title: Underwater images collected by  Scuba diving in Hermitage, Réunion - 2021-04-01

description: This dataset was collected by  Scuba diving in Hermitage, Réunion - 2021-04-01. 

            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.

            

            
 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!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.5281/zenodo.13293751
title: carbon per cell: carbon per cell

description: data coverage snapshot, carbon per cell
DOI: 10.5281/zenodo.13293752
title: carbon per cell: carbon per cell

description: data coverage snapshot, carbon per cell
DOI: 10.5281/zenodo.13318196
title: Legacy Partner Archive: BioKIDS Critter Catalog

description: Here is information about many common animals found in Michigan, and a few that live in other places. You could find many of these animals in or around your schoolyard. Remember that this is just a little bit of animal biodiversity. There are many many other kinds of animals in other places. If you want to learn about animals that don__t live in southeast Michigan, you can go to the Animal Diversity Web, https://animaldiversity.org/
DOI: 10.5281/zenodo.13318195
title: Legacy Partner Archive: BioKIDS Critter Catalog

description: Here is information about many common animals found in Michigan, and a few that live in other places. You could find many of these animals in or around your schoolyard. Remember that this is just a little bit of animal biodiversity. There are many many other kinds of animals in other places. If you want to learn about animals that don__t live in southeast Michigan, you can go to the Animal Diversity Web, https://animaldiversity.org/
DOI: 10.5281/zenodo.13293739
title: Amphibia: Amphibia - body mass

description: data coverage snapshot, body mass

http://content.eol.org/content/2012/09/25/14/71902_orig.jpg "Amphibia"
DOI: 10.5281/zenodo.13293740
title: Amphibia: Amphibia - body mass

description: data coverage snapshot, body mass

http://content.eol.org/content/2012/09/25/14/71902_orig.jpg "Amphibia"
DOI: 10.5281/zenodo.13316326
title: NMNH Botany Plant Habit Data: NMNH Plant Growth Form Data

description: Plant growth form data from specimen labels in the collections of the Smithsonian National Museum of Natural History Botany Department, revised draft.

 

Excel version, revised March 2018. Recoded measurement types and values to FLOPO uris whenever possible.
DOI: 10.5281/zenodo.13316327
title: NMNH Botany Plant Habit Data: NMNH Plant Growth Form Data

description: Plant growth form data from specimen labels in the collections of the Smithsonian National Museum of Natural History Botany Department, revised draft.

 

Excel version, revised March 2018. Recoded measurement types and values to FLOPO uris whenever possible.
DOI: 10.5281/zenodo.13293837
title: Old world fruit bat body mass: bat-body-masses.txt.gz
DOI: 10.5281/zenodo.13305680
title: Old world fruit bat body mass: bat-body-masses.txt.gz
DOI: 10.5281/zenodo.13322794
title: EduLifeDesks Archive: 2011 Field Museum REU and Intern Program (352) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.5281/zenodo.13322795
title: EduLifeDesks Archive: 2011 Field Museum REU and Intern Program (352) DwCA

description: This is where EOL hosts source datasets (archives, dumps, etc.) from EOL content partners (especially partners without a web presence of their own).

This organization will also include the content partner utility files EOL connectors use to generate a particular content partner__s resource EOL archive or XML.

For questions or suggestions please visit the EOL Services forum at http://discuss.eol.org/c/eol-services
DOI: 10.15468/dl.cwssdg
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apis mellifera Linnaeus, 1758",
 "Country is New Caledonia",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 87 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031354-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.