cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-42562
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.3886/e201462
title: Code for Marriage Penalties and Bonuses by Race and Ethnicity: An Application of Race and Ethnicity Imputation

description: We use the race and Hispanic origin information imputed to
the Treasury’s tax model to examine group differences in the marriage penalty
and bonus. The microsimulation results show that, for married couples in higher
income categories, the marriage penalty rate is higher, and the marriage bonus
rate is lower, for Black and Hispanic couples than for White couples. In
contrast, White couples in several lower income categories face a higher
penalty rate and a lower bonus rate. These Black-White differences in marriage penalty
rates are consistent with the patterns of spousal income splits in the
underlying data. Unlike survey data, the tax model does not suggest a higher
prevalence of two equal-earning spouses among Black families throughout the
entire range of the income distribution. Because of the different conclusions
that would be drawn about group differences in the marriage penalty and bonus
outcomes, further investigation regarding the data differences should be
pursued.
DOI: 10.3886/e201462v1
title: Code for Marriage Penalties and Bonuses by Race and Ethnicity: An Application of Race and Ethnicity Imputation

description: We use the race and Hispanic origin information imputed to
the Treasury’s tax model to examine group differences in the marriage penalty
and bonus. The microsimulation results show that, for married couples in higher
income categories, the marriage penalty rate is higher, and the marriage bonus
rate is lower, for Black and Hispanic couples than for White couples. In
contrast, White couples in several lower income categories face a higher
penalty rate and a lower bonus rate. These Black-White differences in marriage penalty
rates are consistent with the patterns of spousal income splits in the
underlying data. Unlike survey data, the tax model does not suggest a higher
prevalence of two equal-earning spouses among Black families throughout the
entire range of the income distribution. Because of the different conclusions
that would be drawn about group differences in the marriage penalty and bonus
outcomes, further investigation regarding the data differences should be
pursued.
DOI: 10.15468/dl.ikzvwd
title: Occurrence Download

description: A dataset containing 8577 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Base de datos sobre la flora de Durango"
 ]
}

 The dataset includes 8577 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002224-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjjsvg
title: Occurrence Download

description: A dataset containing 66082 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centaurea montana L."
 ]
}

 The dataset includes 66082 records from 614 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001444-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-36679
title: Claims (GX 15136 - GX 15571), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.6yzbnf
title: Occurrence Download

description: A dataset containing 868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arabidella trisecta (F.Muell.) O.E.Schulz",
 "HasCoordinate is true",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 868 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002224-160509122628363/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-42606
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.y3ga2j
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "Geometry POLYGON((-72.6632 7.47509,-72.62867 7.47509,-72.62867 7.4902,-72.6632 7.4902,-72.6632 7.47509))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 47 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005829-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-42475
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.5sf2bu
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Phytoplankton abundance along the track of Akademik Vernadsky cruise AV5"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002224-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6pnkbc
title: Occurrence Download

description: A dataset containing 2472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is one of (Tachyoryctes audax Thomas, 1910, Tachyoryctes ankoliae Thomas, 1909, Tachyoryctes annectens (Thomas, 1891), Tachyoryctes naivashae Thomas, 1909, Tachyoryctes daemon Thomas, 1909, Tachyoryctes ruddi Thomas, 1909, Tachyoryctes ruandae Lönnberg & Gyldenstolpe, 1925, Tachyoryctes splendens (Rüppell, 1835), Tachyoryctes rex Heller, 1910, Tachyoryctes storeyi Thomas, 1909, Tachyoryctes ibeanus Thomas, 1900, Tachyoryctes spalacinus Thomas, 1909)"
 ]
}

 The dataset includes 2472 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005823-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-42514
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-39055
title: Claims (GX 15907 - GX 16282), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.dfawp8
title: Occurrence Download

description: A dataset containing 152414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "Year 1997-1997"
 ]
}

 The dataset includes 152414 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002224-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svgqc2
title: Occurrence Download

description: A dataset containing 2047 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eragrostis capensis (Thunb.) Trin."
 ]
}

 The dataset includes 2047 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008549-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-39059
title: Claims (GX 15907 - GX 16282), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.0jluol
title: Occurrence Download

description: A dataset containing 307190 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex acetosella L."
 ]
}

 The dataset includes 307190 records from 705 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002224-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e226437
title: Single Family Portfolio Snapshot

description: NCVAS State Summary(Arkansas)FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)
DOI: 10.3886/e226437v1
title: Single Family Portfolio Snapshot

description: NCVAS State Summary(Arkansas)FY2023 including facilities, expenditures, population, health care & benefits, population projections (age, sex, service, and ethnicity by year)
DOI: 10.15468/dl.ee2qr8
title: Occurrence Download

description: A dataset containing 139710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 139710 records from 199 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011057-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11169293
title: Underwater images collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-15

description: This dataset was collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-15. 

            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.

            

            
 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.11169299
title: Underwater images collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-15

description: This dataset was collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-15. 

            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.

            

            
 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.11169303
title: Underwater images collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-15

description: This dataset was collected by an Autonomous Surface Vehicle in Boucan, Réunion - 2023-11-15. 

            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.

            

            
 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