cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28648838
title: data_for_ordination.Rdata

description: <b>Low-Lying Algae Rise and Hard Coral Decline Dominate </b><b>Compositional </b><b>Shifts in Australia’s Coral Reefs Under Global Warming</b>
DOI: 10.6084/m9.figshare.28648838.v1
title: data_for_ordination.Rdata

description: <b>Low-Lying Algae Rise and Hard Coral Decline Dominate </b><b>Compositional </b><b>Shifts in Australia’s Coral Reefs Under Global Warming</b>
DOI: 10.15468/dl.z45nt8
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archidendron kerrii (Gagnep.) I.C.Nielsen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 140 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024484-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypvvqt
title: Occurrence Download

description: A dataset containing 858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Spain, Morocco, Portugal)",
 "OccurrenceStatus is Present",
 "TaxonKey is Drosera intermedia Hayne"
 ]
}

 The dataset includes 858 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024485-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tb4bf
title: Occurrence Download

description: A dataset containing 262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Human Observation, Machine Observation, Observation)",
 "OccurrenceStatus is Present",
 "TaxonKey is Sciadopitys Siebold & Zucc."
 ]
}

 The dataset includes 262 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024487-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghv968
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archidendron laoticum (Gagnep.) I.C.Nielsen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024488-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/a7pt-9k64
title: Characteristics of viruses from library of bateriophages created in MINIATURA 7 project

description: In the project 6 phages able to infect P. aeruginosa were isolated, from wich 4 were fully characterised. For each from 4 selected phages several characteristics were described: genome sequence, potential genes and their products, morphology of virions and plaques, host range, kinetics of adsorption and progeny production, and lytic activity against clinical strain of P. aeruginosa.
DOI: 10.15468/dl.7hejzt
title: Occurrence Download

description: A dataset containing 1768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archidendron lucidum (Benth.) I.C.Nielsen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1768 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024489-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cckr5u
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abelmoschus esculentus (L.) Moench"
 ]
}

 The dataset includes 64 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024490-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/a721826bb6c74aba
title: Custom collection of dissipation rate of tke (lidar), Doppler lidar, and Doppler lidar wind data from Payerne on 23 Mar 2025
DOI: 10.15468/dl.p343rk
title: Occurrence Download

description: A dataset containing 296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archidendron lucyi F.Muell.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 296 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024492-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjq8ar
title: Occurrence Download

description: A dataset containing 74791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Procambarus clarkii (Girard, 1852)"
 ]
}

 The dataset includes 74791 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024475-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d94seb
title: Occurrence Download

description: A dataset containing 111398 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carassius auratus (Linnaeus, 1758)"
 ]
}

 The dataset includes 111398 records from 465 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024486-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/2zanun
title: Digitally available legal sources for the publication language rights of newcomers and Indigenous peoples in the African and European contexts

description: This dataset accompanies the publication Language Rights of Newcomers and Indigenous Peoples in the African and European Contexts (DOI: 10.21697/2024.13.2.05) and provides a structured overview of digitally accessible legal sources cited or referenced in the article.The dataset is provided in OpenDocument Spreadsheet (ODS) format. The table includes the following columns:# – Entry number for referenceInstitution/State – Name of the institution or country that issued the documentDocument Name – Title or short description of the legal sourceDocument ID* – Identifier according to the classification system of the source (e.g., digital library or legal database)URL – Direct link to the official digital version of the documentDate of URL Verification – The date when the link was last accessed and confirmed to be working
DOI: 10.6084/m9.figshare.28648844
title: DHW.csv

description: 5km Degree Heating Week (DHW)
DOI: 10.6084/m9.figshare.28648844.v1
title: DHW.csv

description: 5km Degree Heating Week (DHW)
DOI: 10.15468/dl.d6wvny
title: Occurrence Download

description: A dataset containing 195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archidendron microcarpum (Benth.) I.C.Nielsen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 195 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024493-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8y7du
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archidendron ptenopum Verdc.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024494-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqsy3s
title: Occurrence Download

description: A dataset containing 198845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nymphalidae, Tortricidae)",
 "MediaType is Image",
 "Country is one of (Denmark, United Kingdom of Great Britain and Northern Ireland)",
 "BasisOfRecord is one of (Living Specimen, Observation, Human Observation, Machine Observation, Occurrence evidence)"
 ]
}

 The dataset includes 198845 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024477-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9246y
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Archidendron scutiferum (Blanco) I.C.Nielsen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 55 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024495-250310093411724/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.28648808
title: TransRoadnet

description: The aim of this paper is to propose a new road network pattern recognition method, namely TransRoadnet.Unlike existing methods, the proposed method offers two key advantages. First, it is able to recognize multimodal hybrid road network patterns, which significantly improves the generalization ability of the model. Second, by integrating the Transformer model, it enhances the extraction of relational features between the overall structure of the road network and its road segments, thereby improving the accuracy of pattern recognition.
DOI: 10.5281/zenodo.15074332
title: Supporting Dataset for the article "Microscopic Mechanism of Coexisting Electron Spin Resonance and Kondo Resonance in a Single Iron Phthalocyanine Molecule"

description: This dataset contains:



Raw experimental data

Raw figure files


This work was supported by the Innovation Program for Quantum Science and Technology (No. 2021ZD0303302), the Chinese Academy of Sciences (No. PTYQ2024TD0011, XDB36020200), the CAS Project for Young Scientists in Basic Research (YSBR-054), the National Key Research and Development Program of China (2024YFA1208102), and the New Cornerstone Science Foundation.
DOI: 10.5281/zenodo.15074949
title: Logical error probabilities for the repetition and the parity code

description: Logical error probabilities (pl) for the repetition and the parity code versus two different physical error probablilities (p_cnot, p_decoherence) for 10000 trials and various logical system sizes (N).
DOI: 10.5281/zenodo.15074950
title: Logical error probabilities for the repetition and the parity code

description: Logical error probabilities (pl) for the repetition and the parity code versus two different physical error probablilities (p_cnot, p_decoherence) for 10000 trials and various logical system sizes (N).
DOI: 10.5281/zenodo.15075082
title: Luteriskā krusta teoloģija komunistiskā geto apstākļos. Mācītāja Nikolaja Plātes (1915–1983) piemērs

description: The Soviet occupation had a devastating effect on the Evangelical Lutheran Church in Latvia (ELCL) which was reduced significantly both in size and public influence. Dr. Jouko Talonen has aptly called this experience of the ELCL as Theology in Ghetto. While interpreting the experience of the cross and sufferings of the church, theologians noted, that in many ways, this theology is similar to Martin Luther’s theology of the Cross. The article explores parallels of both theologies and especially draws on the example of pastor and one of the brightest theologians of that time Latvia, Nikolajs Plāte (1915–1983). The approach of the theology of the Cross and theology in Ghetto gave Plāte theological ways of interpreting this rather painful and negative Soviet experience in a positive and constructive manner.
DOI: 10.5281/zenodo.15075083
title: Luteriskā krusta teoloģija komunistiskā geto apstākļos. Mācītāja Nikolaja Plātes (1915–1983) piemērs

description: The Soviet occupation had a devastating effect on the Evangelical Lutheran Church in Latvia (ELCL) which was reduced significantly both in size and public influence. Dr. Jouko Talonen has aptly called this experience of the ELCL as Theology in Ghetto. While interpreting the experience of the cross and sufferings of the church, theologians noted, that in many ways, this theology is similar to Martin Luther’s theology of the Cross. The article explores parallels of both theologies and especially draws on the example of pastor and one of the brightest theologians of that time Latvia, Nikolajs Plāte (1915–1983). The approach of the theology of the Cross and theology in Ghetto gave Plāte theological ways of interpreting this rather painful and negative Soviet experience in a positive and constructive manner.
DOI: 10.15468/dl.59aqrc
title: Occurrence Download

description: A dataset listing the 139 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.24181 40.50453,-4.21553 40.50513,-4.21613 40.52719,-4.24226 40.52755,-4.24181 40.50453))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 139 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024491-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15075078
title: Vehicle Sign Detection Dataset

description: Description:

This dataset was meticulously curated using dashcam footage collected from various driving sessions. It primarily focuses on detecting and identifying a range of  Vehicle Sign Detection Dataset, vehicles, and pedestrians in diverse road conditions. The dataset is regularly updated to include more classes and further refine the existing categories. It serves as a valuable resource for developing machine learning models aimed at improving autonomous driving, traffic management systems, and advanced driver assistance systems (ADAS).

Download Dataset

Dataset Composition:

The dataset consists of thousands of labeled images, drawn from hours of footage captured by a dashcam installed in the vehicle. The footage spans various driving scenarios, including city streets, highways, and suburban roads. The data includes images captured under different weather and lighting conditions, including clear daylight, nighttime, overcast skies, and rainy weather.

Categories: The dataset covers the following classes:



Vehicles: Cars, bikes, trucks, buses, and more.

Pedestrians: Individuals crossing streets, walking on sidewalks, etc.

Traffic Lights: Labeled images of red, yellow, and green traffic lights in various locations and positions.

Road Signs: A wide array of road signs including yield signs, stop signs, speed limits, roundabouts, and other traffic control signals.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15075079
title: Vehicle Sign Detection Dataset

description: Description:

This dataset was meticulously curated using dashcam footage collected from various driving sessions. It primarily focuses on detecting and identifying a range of  Vehicle Sign Detection Dataset, vehicles, and pedestrians in diverse road conditions. The dataset is regularly updated to include more classes and further refine the existing categories. It serves as a valuable resource for developing machine learning models aimed at improving autonomous driving, traffic management systems, and advanced driver assistance systems (ADAS).

Download Dataset

Dataset Composition:

The dataset consists of thousands of labeled images, drawn from hours of footage captured by a dashcam installed in the vehicle. The footage spans various driving scenarios, including city streets, highways, and suburban roads. The data includes images captured under different weather and lighting conditions, including clear daylight, nighttime, overcast skies, and rainy weather.

Categories: The dataset covers the following classes:



Vehicles: Cars, bikes, trucks, buses, and more.

Pedestrians: Individuals crossing streets, walking on sidewalks, etc.

Traffic Lights: Labeled images of red, yellow, and green traffic lights in various locations and positions.

Road Signs: A wide array of road signs including yield signs, stop signs, speed limits, roundabouts, and other traffic control signals.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.3550995
title: Distribution of the Natura 2000 habitat type 7220 (Cratoneurion) in Flanders and Brussels Capital Region, Belgium (version 2019)

description: The dataset is a geospatial collection of points that correspond with the presence or absence of the Natura 2000 habitat type 7220 (Petrifying springs with tufa formation (Cratoneurion)) in springs and streaming water segments in the Flemish and Brussels Capital Region, Belgium. The dataset also contains  a number of locations that were visited during mapping projects but where 7220 was found absent, or where additional survey is needed to decide on presence/absence of the habittype. The file is a GeoJSON format RFC7946 (WGS84).


The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).


Headers are: 



	
id; 
	
source: original data source;
	
validity status: field inventory carried out (gecontroleerd) or not (niet gecontroleerd);
	
name: unique name of the site;
	
habitattype: 7220, no Natura 2000 type (gh), unconfirmed 7220 (7220, gh), alkaline fen(7230);
	
area_m2: area in square meters;
	
year: year of field inventory;
	
sbz: inside (1) or outside (0) special area of conservation;
	
geometry: latitude, longitude in decimal degrees.
DOI: 10.5281/zenodo.15006803
title: Distribution of the Natura 2000 habitat type 7220 (Cratoneurion) in Flanders and Brussels Capital Region, Belgium (version 2025)

description: The dataset is a geospatial collection of points that correspond with the presence or absence of the Natura 2000 habitat type 7220 (Petrifying springs with tufa formation (Cratoneurion)) in springs and streaming water segments in the Flemish and Brussels Capital Region, Belgium. The dataset also contains  a number of locations that were visited during mapping projects but where 7220 was found absent, or where additional survey is needed to decide on presence/absence of the habittype. The file is a GeoJSON format RFC7946 (WGS84).

The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).

Headers are: 



id; 

source: original data source;

validity status: field inventory carried out (gecontroleerd) or not (niet gecontroleerd);

name: unique name of the site;

system_type: stream type (rivulet), mire type (mire), unknown (unknown) or na (NA);

habitattype: 7220, no Natura 2000 type (gh), unconfirmed 7220 (7220, gh), alkaline fen(7230);

unit_id: spatially related sites are identified by a common identifier

area_m2: area in square meters;

year: year of field inventory;

sbz: inside (1) or outside (0) special area of conservation;

geometry: latitude, longitude in decimal degrees.
description: 46 new locations were added in this version of the dataset, and some unconfirmed sites were updated after field visits
DOI: 10.5281/zenodo.3550994
title: Distribution of the Natura 2000 habitat type 7220 (Cratoneurion) in Flanders and Brussels Capital Region, Belgium (version 2025)

description: The dataset is a geospatial collection of points that correspond with the presence or absence of the Natura 2000 habitat type 7220 (Petrifying springs with tufa formation (Cratoneurion)) in springs and streaming water segments in the Flemish and Brussels Capital Region, Belgium. The dataset also contains  a number of locations that were visited during mapping projects but where 7220 was found absent, or where additional survey is needed to decide on presence/absence of the habittype. The file is a GeoJSON format RFC7946 (WGS84).

The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).

Headers are: 



id; 

source: original data source;

validity status: field inventory carried out (gecontroleerd) or not (niet gecontroleerd);

name: unique name of the site;

system_type: stream type (rivulet), mire type (mire), unknown (unknown) or na (NA);

habitattype: 7220, no Natura 2000 type (gh), unconfirmed 7220 (7220, gh), alkaline fen(7230);

unit_id: spatially related sites are identified by a common identifier

area_m2: area in square meters;

year: year of field inventory;

sbz: inside (1) or outside (0) special area of conservation;

geometry: latitude, longitude in decimal degrees.
description: 46 new locations were added in this version of the dataset, and some unconfirmed sites were updated after field visits
DOI: 10.5281/zenodo.3686984
title: Distribution of the Natura 2000 habitat type 7220 (Cratoneurion) in Flanders and Brussels Capital Region, Belgium (version 2020)

description: The dataset is a geospatial collection of points that correspond with the presence or absence of the Natura 2000 habitat type 7220 (Petrifying springs with tufa formation (Cratoneurion)) in springs and streaming water segments in the Flemish and Brussels Capital Region, Belgium. The dataset also contains  a number of locations that were visited during mapping projects but where 7220 was found absent, or where additional survey is needed to decide on presence/absence of the habittype. The file is a GeoJSON format RFC7946 (WGS84).


The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).


Headers are: 



	
id; 
	
source: original data source;
	
validity status: field inventory carried out (gecontroleerd) or not (niet gecontroleerd);
	
name: unique name of the site;
	
system_type: stream type (rivulet), mire type (mire), unknown (unknown) or na (NA);
	
habitattype: 7220, no Natura 2000 type (gh), unconfirmed 7220 (7220, gh), alkaline fen(7230);
	
unit_id: spatially related sites are identified by a common identifier
	
area_m2: area in square meters;
	
year: year of field inventory;
	
sbz: inside (1) or outside (0) special area of conservation;
	
geometry: latitude, longitude in decimal degrees.
description: system_type and unit_id  have been added compared to the previous version.