cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30570653
title: Digitized Electric Vehicle Fast-Charging Profiles by Model (Power vs SOC/SOE, CSV Format) – Version 1

description: This dataset contains digitized electric vehicle (EV) fast-charging profiles created from 100 publicly available images of charging curves. The profiles were primarily sourced from Fastned, a public EV charging network based in the Netherlands and from InsideEVs, an online media outlet that focuses exclusively on electric vehicles. These data were combined with publicly available attribute information, primarily from manufacturer specification documents, for variables such as usable and gross pack size. Fastned and InsideEVs were accessed between February 2025 - July 2025.<br><br>Each charging profile represents the power (kW) versus the vehicle’s state of charge (<i>SOC</i>), where SOC represents the percentage of usable battery energy relative to the total available pack energy. State of Energy (SOE) is used interchangeably to distinguish the generalized use of SOC to mean amount of available energy. Digitization was performed using WebPlotDigitizer, graphical extraction software to convert image-based plots into csv files with numerical data. Attribute information was accessed between February 2025 - November 2025.<br><br>The resulting dataset enables quantitative comparison of power and state of charge relationships across different vehicle models. It is suitable for use in modeling fast-charging dynamics, charging station throughput, and energy demand predictions, and provides a foundation for further statistical analysis of real-world EV charging heterogeneity.<br><br>1. vehicle-attributes-only contains each csv vehicle as a row with attribute information stored in columns, including the web link to where the attribute was found. <br>2. Profile Images contains the plot images that were digitized. <br>3. main-data-fastcharge-profile-het contains one row for each power and SOC pair taken from the plot images, with attributes of that pair, such as vehicle model, included in subsequent columns. Time is calculated using pack size. <br>4. For ease of use, the individual csv files are also provided.
DOI: 10.6084/m9.figshare.30570653.v1
title: Digitized Electric Vehicle Fast-Charging Profiles by Model (Power vs SOC/SOE, CSV Format) – Version 1

description: This dataset contains digitized electric vehicle (EV) fast-charging profiles created from 100 publicly available images of charging curves. The profiles were primarily sourced from Fastned, a public EV charging network based in the Netherlands and from InsideEVs, an online media outlet that focuses exclusively on electric vehicles. These data were combined with publicly available attribute information, primarily from manufacturer specification documents, for variables such as usable and gross pack size. Fastned and InsideEVs were accessed between February 2025 - July 2025.<br><br>Each charging profile represents the power (kW) versus the vehicle’s state of charge (<i>SOC</i>), where SOC represents the percentage of usable battery energy relative to the total available pack energy. State of Energy (SOE) is used interchangeably to distinguish the generalized use of SOC to mean amount of available energy. Digitization was performed using WebPlotDigitizer, graphical extraction software to convert image-based plots into csv files with numerical data. Attribute information was accessed between February 2025 - November 2025.<br><br>The resulting dataset enables quantitative comparison of power and state of charge relationships across different vehicle models. It is suitable for use in modeling fast-charging dynamics, charging station throughput, and energy demand predictions, and provides a foundation for further statistical analysis of real-world EV charging heterogeneity.<br><br>1. vehicle-attributes-only contains each csv vehicle as a row with attribute information stored in columns, including the web link to where the attribute was found. <br>2. Profile Images contains the plot images that were digitized. <br>3. main-data-fastcharge-profile-het contains one row for each power and SOC pair taken from the plot images, with attributes of that pair, such as vehicle model, included in subsequent columns. Time is calculated using pack size. <br>4. For ease of use, the individual csv files are also provided.
DOI: 10.34740/kaggle/dsv/13661497
title: News UAD
DOI: 10.5281/zenodo.17561444
title: Corrected shoreline data for 8 sandy beaches on the North Pacific of Costa Rica

description: Shoreline data extracted from satellite images to analyze beach dynamics, long-term trends, and variation of erosion within beaches. In particular, we have assessed important sea turtle nesting beaches on the North Pacific of Costa Rica
DOI: 10.5281/zenodo.17561317
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2019-09-11

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2019-09-11. 

            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.17561394
title: Underwater images collected by a Kite surf in Le-Morne, Mauritius - 2019-09-11

description: This dataset was collected by a Kite surf in Le-Morne, Mauritius - 2019-09-11. 

            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: 10.15468/dl.u2yzg5
title: Occurrence Download

description: A dataset containing 346594 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Aponogeton distachyos, Arthurdendyus triangulatus, Cabomba caroliniana, Callosciurus finlaysonii, Cherax destructor, Corvus splendens, Crassula helmsii, Elodea densa, Eriocheir sinensis, Erythranthe guttata, Faxonius immunis, Faxonius juvenilis, Faxonius rusticus, Faxonius virilis, Gambusia affinis, Heracleum mantegazzianum, Heracleum persicum, Heracleum pubescens, Houttuynia cordata, , Impatiens glandulifera, Koenigia polystachya, Lagarosiphon major, Lepomis gibbosus, Limnoperna fortunei, Ludwigia grandiflora, Ludwigia peploides, Lysichiton americanus, Morone americana, Muntiacus reevesi, Myriophyllum aquaticum, Myriophyllum heterophyllum, Pacifastacus leniusculus, Petasites japonicus, Pontederia cordata, Procambarus acutus, Procambarus clarkii, Procambarus virginalis, Pseudorasbora parva, Pycnonotus cafer, Saururus cernuus, Sciurus carolinensis, Sciurus niger, Solenopsis invicta, Solenopsis richteri, Threskiornis aethiopicus, Vespa velutina, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 346594 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023388-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.794tbr
title: Occurrence Download

description: A dataset containing 72671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Plantae",
 "BasisOfRecord is one of (Fossil, Material sample)"
 ]
}

 The dataset includes 72671 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023399-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9djav
title: Occurrence Download

description: A dataset containing 57131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Danaus gilippus"
 ]
}

 The dataset includes 57131 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023384-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17561447
title: Supporting data for "A comparative study of anisole and 4-vinylanisole pyrolysis: Insight into char, tar, and particle formation during lignin pyrolysis"

description: File description. The following files contain raw data for the analysis of the pyrolysis of anisole and 4-vinylanisole. Please see the README.TXT file for details. It is associated with a paper that has been submitted.
DOI: 10.5281/zenodo.17561448
title: Supporting data for "A comparative study of anisole and 4-vinylanisole pyrolysis: Insight into char, tar, and particle formation during lignin pyrolysis"

description: File description. The following files contain raw data for the analysis of the pyrolysis of anisole and 4-vinylanisole. Please see the README.TXT file for details. It is associated with a paper that has been submitted.
DOI: 10.15468/dl.rh3ja4
title: Occurrence Download

description: A dataset listing the 243 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material citation, Material sample, Specimen, Human Observation)",
 "Geometry POLYGON((-43.96404 -19.88301,-43.96415 -19.87954,-43.9644 -19.87922,-43.96468 -19.87855,-43.96467 -19.87795,-43.96417 -19.87639,-43.96491 -19.87546,-43.9662 -19.87476,-43.95874 -19.87028,-43.95748 -19.87074,-43.9572 -19.87009,-43.95572 -19.86952,-43.95904 -19.8608,-43.96158 -19.86009,-43.97022 -19.86304,-43.9687 -19.86714,-43.9691 -19.86831,-43.96997 -19.86907,-43.97179 -19.86944,-43.97379 -19.86417,-43.97605 -19.86464,-43.97609 -19.86625,-43.97596 -19.86786,-43.97616 -19.87026,-43.97638 -19.87074,-43.97678 -19.87317,-43.97687 -19.87526,-43.97702 -19.87491,-43.97711 -19.87746,-43.97717 -19.87969,-43.97726 -19.88125,-43.97778 -19.88266,-43.97778 -19.88345,-43.9775 -19.88496,-43.97691 -19.88528,-43.97684 -19.88556,-43.97698 -19.88672,-43.97746 -19.88903,-43.97781 -19.89127,-43.97728 -19.89236,-43.97425 -19.89071,-43.96404 -19.88301))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset's 243 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023400-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e203621v1-190710
title: Code for Corporate Minimum Tax and the Elasticity of Taxable Income: Evidence from Administrative Tax Records

description: We examine business responses to a minimum tax that prescribed fixed floors on corporate tax liability while also permitting minimum tax credit carry-forwards. Using 2010-2020 tax-return administrative data on all Slovak corporations, we find that a mass of companies immediately relocated from reporting zero taxable income towards bunching at the new tax floors. We infer the ETI to be between 0.33 and 2.28 across VAT and turnover categories and quantify the marginal efficiency burden of the corporation tax. Given limited extensive-margin business responses, our evidence suggests that the minimum tax reduced the overall efficiency burden while raising additional tax revenue.
description: The population of corporate taxpayers in Slovakia in 2010-2020.
DOI: 10.34740/kaggle/dsv/13661550
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6567dq
title: Occurrence Download

description: A dataset containing 11767086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 11767086 records from 3297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023392-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/wpacards-c8-151680
title: WPA household census for 5529 LOVELAND STREET, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-151695
title: WPA household census for 5507 LOVELAND STREET, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-151713
title: WPA household census for 5624 EAST GAGE AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-151716
title: WPA household census for 5630 EAST GAGE AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-151722
title: WPA household census for 6425 EASTERN AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-ouc11573335
title: WPA household census for 6434 SPECHT AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.15468/dl.fnkyag
title: Occurrence Download

description: A dataset containing 64547 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bidens pilosa"
 ]
}

 The dataset includes 64547 records from 1051 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006232-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/wpacards-c8-151737
title: WPA household census for 5718 GAGE AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-151740
title: WPA household census for 5722 GAGE AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.