cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.983651
title: Passive acoustic monitoring data recorded by recorder SV1002 at mooring AWI251-3 in the Weddell Sea, Southern Ocean, from 2019 to 2020

description: Passive acoustic monitoring (PAM) data were collected by recorder SV1013 of type Sono.Vault (manufactured by develogic GmbH, Hamburg, Germany) at 61.023° S, 55.978° W, mooring AWI251-3, in the Weddell Sea, Atlantic sector of the Southern Ocean. During a deployment period from February 2019 to April 2022, passive acoustic data were collected from February 2019 to April 2020 (recording period) by SV1002 as part of the Hybrid Antarctic Float Observing System (HAFOS) in the Weddell Sea. The recorder was moored at 181 m depth and scheduled to record continuously at a sample rate of 24,000 Hz. Further details about the data acquisition and processing of this data set can be found in the accompanying metadata file (see Additional metadata) as well as the data processing report (see Data Processing Report). Passive acoustic data archived here represent data processing Level 1+, according to the standards defined in the associated Standard Operation Procedure (SOP) Glossary (Thomisch et al. 2023a). Further information on data processing with regard to data preparation and standardization can be found in the associated SOP Part 1: Data preparation and standardization (Thomisch et al. 2023b).
description: Each daily .tar contains the 10-minute audio files (.wav format) collected during the respective day.--Please note that this data set may also be listed as AWI251-03_SV1002 at other data portals, such as the Open Portal to Underwater Soundscapes (OPUS), available at https://opus.aq.
DOI: 10.7910/dvn/hswdoj
title: 2024 South Korea Initial Quality Evaluation

description: This study aims to contribute to the development of the South Korean automotive industry by providing fundamental data that can be used by consumers, car manufacturers, and government policy makers. This is accomplished by tracking and analyzing the long-term changes in the domestic automotive market. 

The data provided is based on the Syndicated Automotive Consumer Study, which has been conducted every year since 2001. Approximately 100,000 responses have been accumulated annually. We are providing a portion of the 2024 raw data. From the complete dataset, respondents were sequentially assigned identification numbers according to the order of response, and every third respondent was selected, thereby extracting one-third of the data.

[Study Contents]The data provided includes the following information:
Respondent Characteristics (gender/age/income/Family member composition, etc.)
Vehicle Characteristics (vehicle type/class/fuel type, etc.)
Quality Indices (PPH: Problems Per Hundred vehicles)
Number of Area Problems
1) Engine(ICEV) / Powertrain(EV)
2) Brake
3) Steering Wheel
4) Transmissions(ICEV) / Battery(High-Voltage, for Driving, EV)
5) Electrical Equipment and Accessories
6) AV system
7) Noise and Abnormal Sound
8) Climate Control
9) Seats and Safety Belts
10) Built-in Systems and Interior
11) Body, Paint, Moldings, and Leaks
12) Battery(ICEV) / Low-Voltage Battery (for Electrical Devices, EV)
13) Tires* It is recommended that the data for areas 1), 4), and 12) be analyzed separately by fuel type
DOI: 10.7910/dvn/bmnj4m
title: Replication Data for: Employment Under Marijuana

description: This replication package contains all materials required to reproduce the main results and appendix analyses of the paper Employment Under Marijuana. The analysis integrates firm-level data with state-level, industry-level, and policy data.
DOI: 10.15468/dl.t7wzh7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster conspicuus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014684-250920141307145/datasets/export for details.
DOI: 10.15468/dl.6xgcb2
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster conspicuus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014683-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9m8nf5
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster conspicuus",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 69 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014685-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u98hr8
title: Occurrence Download

description: A dataset containing 84169189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Geometry POLYGON((-180 -58,180 -58,180 84,-180 84,-180 -58))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year is 2018"
 ]
}

 The dataset includes 84169189 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014576-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhb7fn
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster fangianus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 35 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014686-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfhcss
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster fangianus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014687-250920141307145/datasets/export for details.
DOI: 10.15468/dl.hg9432
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster fangianus",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014689-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98ex26
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster ganghobaensis",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014690-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/sxgc91
title: Replication Data for: Employment Under Marijuana

description: This replication package contains all materials required to reproduce the main results and appendix analyses of the paper Employment Under Marijuana. The analysis integrates firm-level data with state-level, industry-level, and policy data.
DOI: 10.5281/zenodo.17197769
title: K-FluDB

description: K-FluDB: A Novel K-Mer Based Database for Enhanced Genomic Surveillance of Influenza A Viruses

K-FluDB is a compressed database composed of distinct sub-sequences specific to 50 influenza A subtypes. It includes unique sequences for all 18 hemagglutinin (HA) and 11 neuraminidase (NA) subtypes. The original influenza sequences were obtained from the NCBI database on May 8, 2022, comprising a total of 895,900 Influenza A sequences.

To generate this database, sequences were first subsampled based on genomic segment and variant group, resulting in 81,262 sequences. These sequences served as input for the PanGen-InfluenzaA tool (GitHub), which constructs pangenomes by identifying both unique subtype-specific sequences and sequences shared across multiple subtypes.

Repository Contents

This repository contains a ZIP archive with three folders, each corresponding to pangenome datasets designed for reads of 74, 150, and 300 nucleotides in length. Each folder includes the following files:





Dispensable data files (1_dispensable.fasta to 8_dispensable.fasta):These files contain the dispensable genomic fragments for each of the eight segments of the Influenza A virus.




Unique data files (1_unique.fasta to 8_unique.fasta):These files contain the unique genomic fragments for each segment. The recommended files for mapping against genomic reads are 4_unique.fasta and 6_unique.fasta, corresponding to segments 4 and 6, which are the targets commonly used for Influenza A subtyping.




pangenome.fasta:This file contains the combined set of unique and dispensable genomic fragments for all eight segments.




unique.fasta:This file includes only the unique genomic fragments for all eight segments.



Within each core directory (75, 150, and 300), three distinct subdirectories—unique, pangenome, and dispensable—contain the pangenome files stratified by subtype. Specifically, the files located in the unique subdirectories for segments 4 and 6 are the recommended datasets for use in subtype identification during subsequent genomic analysis.

Compression Efficiency and Classification Accuracy

K-FluDB achieves a relative compression index of 96.54% when using the complete pangenome and 99.64% when considering only subtype-specific sequences. The average precision for correctly classifying Hx and Nx subtypes using the unique sequences is 99.2% and 99.71%, respectively.

This database provides a highly efficient and accurate resource for influenza A subtype classification while significantly reducing the storage and computational requirements associated with full-genome analyses.



Acknowledgements


This research was partially supported by grants by PAPIIT-DGAPA-IN230523 awarded to BT. The first author gratefully acknowledges the scholarship provided by CONAHCYT. We also extend our sincere appreciation to the National Autonomous University of Mexico (UNAM) for granting access to the MIZTLI supercomputer, supported by the General Directorate of Computing and Information and Communication Technologies (DGTIC) through project LANCAD-UNAM-DGTIC-350.
DOI: 10.5281/zenodo.17197806
title: AKTIN - Daten zur Aufenthaltsdauer in Notaufnahmen

description: Im Datensatz "AKTIN – Daten zur Aufenthaltsdauer in Notaufnahmen" werden aggregierte Daten der Routinedokumentation aus einer Auswahl deutscher Notaufnahmen aus dem AKTIN-Notaufnahmeregister bereitgestellt. Anhand der Aufenthaltsdauer kann die Belastungssituation von Notaufnahmen abgeschätzt  werden. Dies ermöglicht eine kontinuierliche und transparente Surveillance der Akutversorgungslage in deutschen Notaufnahmen. Dazu werden die aktuellen Daten mit einem Referenzmittelwert verglichen, um die Belastungssituation von Notaufnahmen zu erfassen. Der Datensatz enthält aggregierte Angaben zu Besuchszahlen, mittlerer Aufenthaltsdauer sowie Abweichungen vom Referenzwert.
DOI: 10.15468/dl.fj3jx3
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster hjelmqvistii",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 947 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014693-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgqxdv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster hjelmqvistii",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014694-250920141307145/datasets/export for details.
DOI: 10.15468/dl.q3ffzc
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cotoneaster hjelmqvistii",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014695-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30206548
title: Plant nitrogen preferences mirror underground nitrogen cycling in natural ecosystems (Dataset 1 & 2)

description: We compiled data from 66 15N labeling studies, yielding 336 triplet observations, each consisting of plant organic-N, ammonium-N, and nitrate-N uptake measurements (Dataset 1). Additionally, 2030 observations of gross soil N transformations from 270 studies were compiled to predict the spatial variation of these rates globally, with the aim of populating Dataset 1.
DOI: 10.6084/m9.figshare.30206548.v1
title: Dataset 1 & 2

description: We compiled data from 66 15N labeling studies, yielding 336 triplet observations, each consisting of plant organic-N, ammonium-N, and nitrate-N uptake measurements (Dataset 1). Additionally, 2030 observations of gross soil N transformations from 270 studies were compiled to predict the spatial variation of these rates globally, with the aim of populating Dataset 1.
DOI: 10.6084/m9.figshare.30206548.v2
title: Plant nitrogen preferences mirror underground nitrogen cycling in natural ecosystems (Dataset 1 & 2)

description: We compiled data from 66 15N labeling studies, yielding 336 triplet observations, each consisting of plant organic-N, ammonium-N, and nitrate-N uptake measurements (Dataset 1). Additionally, 2030 observations of gross soil N transformations from 270 studies were compiled to predict the spatial variation of these rates globally, with the aim of populating Dataset 1.
DOI: 10.5281/zenodo.10980643
title: BeauAMP : processing and consolidation of open data on public procurement in France (2015-2023)

description: This accurate and comprehensive dataset encapsulates the main information published on the BOAMP website (the official journal for public procurement notices in France) from 2015 to 2023, enriched with the individual characteristics of contracting authorities and holders of public contracts. After converting the notices into a processed table, we use a machine learning algorithm to estimate the SIRETs (i.e. national identifiers) of the contracting parties, so that we can merge the open data on public procurement with individual information on public and private agents (size, legal status, main activity, geolocation...). Finally, we estimate the geolocation of foreign firms. The dataset contains about 300,000 public contracts and describes more than 1,000,000 interactions between approximately 16,000 public entities and 130,000 companies. It covers over 100 variables on the contract features, the outcome of the award procedure, the characteristics of contracting authorities and the characteristics of awarded firms.

 

See similar data from 2024 : https://zenodo.org/records/17187786
DOI: 10.5281/zenodo.11001277
title: BeauAMP : processing and consolidation of open data on public procurement in France (2015-2023)

description: This accurate and comprehensive dataset encapsulates the main information published on the BOAMP website (the official journal for public procurement notices in France) from 2015 to 2023, enriched with the individual characteristics of contracting authorities and holders of public contracts. After converting the notices into a processed table, we use a machine learning algorithm to estimate the SIRETs (i.e. national identifiers) of the contracting parties, so that we can merge the open data on public procurement with individual information on public and private agents (size, legal status, main activity, geolocation...). Finally, we estimate the geolocation of foreign firms. The dataset contains about 300,000 public contracts and describes more than 1,000,000 interactions between approximately 16,000 public entities and 130,000 companies. It covers over 100 variables on the contract features, the outcome of the award procedure, the characteristics of contracting authorities and the characteristics of awarded firms.

 

See similar data from 2024 : https://zenodo.org/records/17187786
DOI: 10.15468/dl.vmzukc
title: Occurrence Download

description: A dataset containing 406833 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Threskiornis aethiopicus"
 ]
}

 The dataset includes 406833 records from 339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014620-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4tg5s
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionea nipponica Alexander, 1932",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0209349-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvnz35
title: Occurrence Download

description: A dataset containing 529535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 529535 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081751-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3d45v
title: Occurrence Download

description: A dataset containing 2424601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Apidae",
 "TaxonKey is Andrenidae",
 "TaxonKey is Colletidae",
 "TaxonKey is Halictidae",
 "TaxonKey is Megachilidae",
 "TaxonKey is Melittidae",
 "TaxonKey is Stenotritidae"
 ]
 }
 ]
}

 The dataset includes 2424601 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112644-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9jcvy
title: Occurrence Download

description: A dataset containing 42626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gygis alba (Sparrman, 1786)"
 ]
}

 The dataset includes 42626 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0390487-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fua5dr
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aristolochia mutabilis Pfeifer"
 ]
}

 The dataset includes 15 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050645-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dmz7r
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Calocedrus decurrens (Torr.) Florin",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 130 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018655-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dm6qx4
title: Occurrence Download

description: A dataset containing 9782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NZ National Vegetation Survey occurrence data",
 "HasCoordinate is true",
 "TaxonKey is Beilschmiedia tawa (A.Cunn.) Kirk"
 ]
}

 The dataset includes 9782 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007793-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekkbxk
title: Occurrence Download

description: A dataset containing 1797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Regina grahamii Baird & Girard, 1853"
 ]
}

 The dataset includes 1797 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018656-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.