cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d9refd
title: Occurrence Download

description: A dataset containing 22028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 1909"
 ]
}

 The dataset includes 22028 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011241-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.17961
title: COVID-19 Policy Response Monitor for German Federal States (CPRM-Ger): A Dataset on Non-pharmaceutical Interventions in Germany

description: The COVID-19 Policy Response Monitor for German Federal States builds on the idea and methodology of the Oxford Covid-19 Government Response Tracker (OxCGRT) and is adapted to the specific conditions of the German federal system (see Codebook).

The presented dataset contains a collection of 31 types of<strong> </strong>non-pharmaceutical interventions (NPIs) that were implemented in the 16 German federal states between March 12 and August 31, 2020. Depending on the level of strictness of the applied measures, an overall Stringency index as well as eight Sub-indices regarding <em>Events and gatherings</em>,<em> Movement</em>,<em> Childcare and education</em>,<em> Business</em>,<em> Food and catering</em>,<em> Leisure facilities</em>,<em> Health sector</em>, and<em> Public hygiene</em> have been calculated for each federal state.

 

Sub-indices and items:

<strong>E - Events and gatherings</strong>

E1 - Indoor public event restriction

E2 - Outdoor public event restriction

E3 - Private gathering in public restriction

E4 - Private gathering on private property restriction

E5 - Religious gathering restriction

E6 - Freedom of assembly restriction

E7 - Private special event restriction

 

<strong>M - Movement</strong>

M1 - Stay at home orders

M2 - Public transport closing

M3 - Internal movement restriction

M4 - International travel restriction

M5 - Tourism restriction

 

<strong>C - Childcare and education</strong>

C1 - Kindergarten closing

C2 - School closing

C3 - University closing

 

<strong>B - Business</strong>

B1 - Shop closing

B2 - Close-contact services closing

F - Food and catering

 

F1 - Restaurant closing

F2 - Snack stand closing

F3 - Bar closing

 

<strong>L - Leisure facilities</strong>

L1 - Playground closing

L2 - Outdoor sports facility closing

L3 - Indoor sports facility closing

L4 - Leisure park and zoo closing

L5 - Theatre, cinema and seated concert closing

L6 - Museum and exhibition closing

L7 - Music club and concert closing

 

<strong>H - Health sector</strong>

H1 - Health and nursing services restriction

H2 - Hospital visitors restriction

H3 - Nursing facility visitors restriction

 

<strong>P - Public hygiene</strong>

P1 - Person-to-person distance obligation

P2 - Facemask obligation* (not included in Stringency Index to avoid double counting)

 

The coding guidelines are availible in German only.
description: This dataset was supported by the German Federal Ministry of Education and Research (BMBF) under Grant 33N34354.
DOI: 10.25592/uhhfdm.17960
title: COVID-19 Policy Response Monitor for German Federal States (CPRM-Ger): A Dataset on Non-pharmaceutical Interventions in Germany

description: The COVID-19 Policy Response Monitor for German Federal States builds on the idea and methodology of the Oxford Covid-19 Government Response Tracker (OxCGRT) and is adapted to the specific conditions of the German federal system (see Codebook).

The presented dataset contains a collection of 31 types of<strong> </strong>non-pharmaceutical interventions (NPIs) that were implemented in the 16 German federal states between March 12 and August 31, 2020. Depending on the level of strictness of the applied measures, an overall Stringency index as well as eight Sub-indices regarding <em>Events and gatherings</em>,<em> Movement</em>,<em> Childcare and education</em>,<em> Business</em>,<em> Food and catering</em>,<em> Leisure facilities</em>,<em> Health sector</em>, and<em> Public hygiene</em> have been calculated for each federal state.

 

Sub-indices and items:

<strong>E - Events and gatherings</strong>

E1 - Indoor public event restriction

E2 - Outdoor public event restriction

E3 - Private gathering in public restriction

E4 - Private gathering on private property restriction

E5 - Religious gathering restriction

E6 - Freedom of assembly restriction

E7 - Private special event restriction

 

<strong>M - Movement</strong>

M1 - Stay at home orders

M2 - Public transport closing

M3 - Internal movement restriction

M4 - International travel restriction

M5 - Tourism restriction

 

<strong>C - Childcare and education</strong>

C1 - Kindergarten closing

C2 - School closing

C3 - University closing

 

<strong>B - Business</strong>

B1 - Shop closing

B2 - Close-contact services closing

F - Food and catering

 

F1 - Restaurant closing

F2 - Snack stand closing

F3 - Bar closing

 

<strong>L - Leisure facilities</strong>

L1 - Playground closing

L2 - Outdoor sports facility closing

L3 - Indoor sports facility closing

L4 - Leisure park and zoo closing

L5 - Theatre, cinema and seated concert closing

L6 - Museum and exhibition closing

L7 - Music club and concert closing

 

<strong>H - Health sector</strong>

H1 - Health and nursing services restriction

H2 - Hospital visitors restriction

H3 - Nursing facility visitors restriction

 

<strong>P - Public hygiene</strong>

P1 - Person-to-person distance obligation

P2 - Facemask obligation* (not included in Stringency Index to avoid double counting)

 

The coding guidelines are availible in German only.
description: This dataset was supported by the German Federal Ministry of Education and Research (BMBF) under Grant 33N34354.
DOI: 10.15468/dl.dh6gab
title: Occurrence Download

description: A dataset containing 7833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-69.93009 12.25522,-68.00724 11.91368,-68.14524 12.39442,-70.15208 12.697,-69.93009 12.25522))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Porites astreoides, Montastraea cavernosa, Siderastrea siderea, Siderastrea radians, Agaricia agaricites, Stephanocoenia intersepta, Manicina areolata, Colpophyllia natans, Pseudodiploria strigosa, Diploria labyrinthiformis, Meandrina meandrites, Eusmilia fastigiata, Dichocoenia stokesii, Porites porites, Porites furcata, Orbicella annularis, Orbicella faveolata, Orbicella franksi, Pseudodiploria clivosa, Isophyllia sinuosa, Isophyllia rigida, Mycetophyllia aliciae, Mycetophyllia ferox, Mycetophyllia lamarckiana, Scolymia cubensis, Scolymia lacera, Agaricia tenuifolia, Agaricia lamarcki, Agaricia humilis, Porites divaricata, Madracis auretenra, Madracis decactis, Porites colonensis, Acropora palmata, Acropora cervicornis, Dendrogyra cylindrus, Meandrina jacksoni, Solenastrea bournoni, Solenastrea hyades, Favia fragum, Agaricia grahamae, Helioseris cucullata, Madracis carmabi, Porites branneri, Oculina diffusa)"
 ]
}

 The dataset includes 7833 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011254-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.25323.20009
title: Field trials overview 2024-2025
DOI: 10.15468/9im40f
title: Coral or reef-seawater associated bacteria Targeted Locus (Loci)

description: SSU rRNA gene amplicons from Ctenactis crassa, Herpolithia limax or reef seawater.
DOI: 10.15468/ndaq8h
title: Baselines Initiative 16S rRNA gene dataset: Baselines Amplicon Release 1 (R1) North Pacific Line-67 2009

description: The overall objective of this project (Baselines Initiative) is to generate several 16S rRNA gene databases to establish robust baseline information on the biological communities in marine ecosystems. This field study was conducted in the North Pacific Line-67 in October 2009 to examine phytoplankton community diversity.
DOI: 10.15468/dl.xk4dvu
title: Occurrence Download

description: A dataset containing 1612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.15 50.75,6.05 50.75,6.05 50.85,5.15 50.85,5.15 50.75))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Heracleum mantegazzianum",
 "Year 1983-2025"
 ]
}

 The dataset includes 1612 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011256-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/eiwfl1
title: Benham Rise 16S raw sequence reads

description: 16S rDNA raw sequencing reads from prokaryotes isolated from the water column of Benham Rise, Philippines
DOI: 10.15468/zgnp4h
title: Hypersaline sapropels Targeted loci environmental

description: The purpose of the present study was to describe and link the prokaryotic diversity in two disparate hypersaline sapropels (Transylvanian Basin, Central Romania), with nutrient and geochemical data in order to infer the role of the microbiome in their formation.
DOI: 10.11583/dtu.30195661
title: References and literature review data - Understanding and Preventing Behavioural Rebound Effects: A Design Tool for Sustainable Design across Contexts

description: This dataset includes the references and extracted literature data on contextual factors influencing behavioural rebound mechanisms in Solar Home Systems. It is supplementary to the paper <i>“Understanding and Preventing Behavioural Rebound Effects: A Design Tool for Sustainable Design across Contexts”</i> and provides the foundation for systematically linking contextual factors, behavioural mechanisms, and design strategies across both high-income and low- to middle-income countries.The abstract of the paper is as follows: “Solar photovoltaic systems are a key renewable energy solution, but behavioural rebound effects offset their environmental potential. As Solar Home System adoption grows in low- to middle-income countries, it is crucial to understand how contextual factors (e.g., social norms) shape these effects, yet research on this topic is scarce. Through a systematic literature review, this study identifies 15 contextual factors influencing behavioural rebound mechanisms (BRM). Findings are integrated into a design tool helping developers analyse contexts, anticipate BRM, and apply prevention strategies.”
DOI: 10.11583/dtu.30195661.v1
title: References and literature review data - Understanding and Preventing Behavioural Rebound Effects: A Design Tool for Sustainable Design across Contexts

description: This dataset includes the references and extracted literature data on contextual factors influencing behavioural rebound mechanisms in Solar Home Systems. It is supplementary to the paper <i>“Understanding and Preventing Behavioural Rebound Effects: A Design Tool for Sustainable Design across Contexts”</i> and provides the foundation for systematically linking contextual factors, behavioural mechanisms, and design strategies across both high-income and low- to middle-income countries.The abstract of the paper is as follows: “Solar photovoltaic systems are a key renewable energy solution, but behavioural rebound effects offset their environmental potential. As Solar Home System adoption grows in low- to middle-income countries, it is crucial to understand how contextual factors (e.g., social norms) shape these effects, yet research on this topic is scarce. Through a systematic literature review, this study identifies 15 contextual factors influencing behavioural rebound mechanisms (BRM). Findings are integrated into a design tool helping developers analyse contexts, anticipate BRM, and apply prevention strategies.”
DOI: 10.15468/2wc1iw
title: SCS SEATS Raw sequence reads

description: Marine Group II only dominated shallow water column (&lt;75 m) at the central basin (SEATS) station and was replaced by the dominance of Marine Group I in deeper water, which has commonly been observed in global oceans.
DOI: 10.15468/dl.srqreb
title: Occurrence Download

description: A dataset containing 1973 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Alcea rugosa)"
 ]
}

 The dataset includes 1973 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011259-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/efk8cc
title: Annual Dynamics of Microeukaryotic Communities in Fram Strait (2016-2017)

description: 18S rRNA amplicon sequences derived from moored autonomous samplers. Moorings: F4-S-1, HG-IV-S-1, Fevi-34, EGC-3
DOI: 10.15468/yxczuk
title: Surface and deep marine bacterial communities in the Arctic and Antarctic

description: Amplicon sequencing dataset (454 pyrosequencing) of Bacteria (16S ssu rRNA gene, v6 region) in surface and deep waters of the Arctic and the Southern oceans. This dataset is part of the International Census of Marine Microbes (ICoMM).
DOI: 10.15468/t628ps
title: Protist diversity in a permanently ice-covered Antarctic Lake during the polar night transition

description: Amplicon sequencing dataset targeting eukaryote microorganisms (18S ssu rRNA marker gene) in permanently ice-covered lakes in the McMurdo Dry Valleys (Antarctica). Samples (n=89) were taken in the photic zone of the east lobe (ELB) and west lobe (WLB) of the chemically stratified Lake Bonney.
DOI: 10.15468/dl.abhgsr
title: Occurrence Download

description: A dataset containing 310 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Thunbergia alata"
 ]
}

 The dataset includes 310 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011252-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kzhs7h
title: Occurrence Download

description: A dataset containing 1123 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lichens Flora of Nepal at Central Department of Botany, Tribhuvan University, Nepal"
 ]
}

 The dataset includes 1123 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011260-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/xjefiq
title: Nutrient addition mesocosm experiment Targeted Locus (Loci)

description: Amplicon sequencing of environmental planktonic organisms to assess the interactions during a nutrient addition experiments.
DOI: 10.15468/dl.ygcq2v
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011261-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30173647
title: <b>Improving the accuracy of predicted potential distributions and enhancing </b><b>the </b><b>effectiveness of priority conservation areas for protected species by expanding the target area</b>

description: <b>Abstract</b><b>Aim</b>Subjective study area delineation in conservation planning often overlooks species occurrences integrality, truncating the ecological niches. Incorporating occurrences from expanded areas into species distribution prediction within the study area provides an innovative approach to mitigate negative impacts, but the conservation effectiveness of this approach requires further clarification.<b>Location</b>We selected the Southeast Himalaya Biodiversity Priority Conservation Area and the Himalayas biogeographic region as the target and expanded areas, respectively.<b>Methods</b>We set three scenarios by extracting species occurrences from the target area, expanded area, and both areas (scenarios 1, 2, and 3, respectively). Using MaxEnt for predicting the potential distributions of species (SPDs) and Zonation for identifying priority conservation areas (PCAs) across the three scenarios, we evaluated the SPD prediction accuracy, conservation effectiveness, and ecological representativeness.<b>Results</b>Incorporating data from the expanded area in scenarios 2 and 3 improved the prediction accuracy and covered a wider SPD range than scenario 1. High-richness areas and PCAs in scenarios 2 and 3 were identified in the Kangrigebu South Wing Mountains, Salween and Lancangjiang Incisive Mountains, and southern Brahmaputra Great Turn and Upper Salween Incisive Mountains. These PCAs improved the coverage of the SPD areas (77.74–82.20%) and priority forest and wetland ecosystems (11.86–12.84%). In contrast, the PCAs in scenario 1 had a relatively larger distribution in the Himalayas Central Mountains, covering a higher proportion of their own SPD areas (83.75%) and priority steppe ecosystem (31.55%). Overall, scenarios 2 and 3 demonstrated greater conservation effectiveness and ecological representativeness, with minimal differences between them, and both outperformed scenario 1.<b>Main conclusions</b>Our study proposed an innovative approach that expanded the study area to biogeographic regions and supplemented species occurrences from these expanded areas, thereby improving the prediction accuracy of SPDs and conservation effectiveness, while providing an easily implementable and generalizable framework in data deficient areas.
DOI: 10.6084/m9.figshare.30173647.v1
title: <b>Improving the accuracy of predicted potential distributions and enhancing </b><b>the </b><b>effectiveness of priority conservation areas for protected species by expanding the target area</b>

description: <b>Abstract</b><b>Aim</b>Subjective study area delineation in conservation planning often overlooks species occurrences integrality, truncating the ecological niches. Incorporating occurrences from expanded areas into species distribution prediction within the study area provides an innovative approach to mitigate negative impacts, but the conservation effectiveness of this approach requires further clarification.<b>Location</b>We selected the Southeast Himalaya Biodiversity Priority Conservation Area and the Himalayas biogeographic region as the target and expanded areas, respectively.<b>Methods</b>We set three scenarios by extracting species occurrences from the target area, expanded area, and both areas (scenarios 1, 2, and 3, respectively). Using MaxEnt for predicting the potential distributions of species (SPDs) and Zonation for identifying priority conservation areas (PCAs) across the three scenarios, we evaluated the SPD prediction accuracy, conservation effectiveness, and ecological representativeness.<b>Results</b>Incorporating data from the expanded area in scenarios 2 and 3 improved the prediction accuracy and covered a wider SPD range than scenario 1. High-richness areas and PCAs in scenarios 2 and 3 were identified in the Kangrigebu South Wing Mountains, Salween and Lancangjiang Incisive Mountains, and southern Brahmaputra Great Turn and Upper Salween Incisive Mountains. These PCAs improved the coverage of the SPD areas (77.74–82.20%) and priority forest and wetland ecosystems (11.86–12.84%). In contrast, the PCAs in scenario 1 had a relatively larger distribution in the Himalayas Central Mountains, covering a higher proportion of their own SPD areas (83.75%) and priority steppe ecosystem (31.55%). Overall, scenarios 2 and 3 demonstrated greater conservation effectiveness and ecological representativeness, with minimal differences between them, and both outperformed scenario 1.<b>Main conclusions</b>Our study proposed an innovative approach that expanded the study area to biogeographic regions and supplemented species occurrences from these expanded areas, thereby improving the prediction accuracy of SPDs and conservation effectiveness, while providing an easily implementable and generalizable framework in data deficient areas.
DOI: 10.15468/dl.zruasj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astragalus pelecinus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011263-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/kg56dz
title: 12S eDNA from seawater samples collected within the coastal zone of the Belgian part of the North Sea

description: This dataset contains eDNA metabarcoding data of fish species detected at 9 locations within the coastal area of the Belgian Part of the North Sea (BPNS). The seawater samples were collected monthly from August 2021 to August 2023 at the fixed stations. The fish species were identified using 12S eDNA metabarcoding. The dataset includes amplicon sequence variants and their associated metadata. [This dataset was processed using the GBIF Metabarcoding Data Toolkit.]
DOI: 10.15468/zhhrft
title: Environmental Foraminifera Raw sequence reads

description: Paleotsunami deposits are primary source of information on past big tsunami events and thereby are critical for earthquake and tsunami hazard assessment. They usually form sandy layers preserved in coastal sediments that may contain indicators of marine origin such as foraminifera microfossils and the geochemical signal of saltwater. Environmental DNA sequencing of marine species targets in a series of up to about 2000 years old sandy paleotsunami deposits is promising to detect ancient tsunami events even in the absence of microfossil and sedimentological evidence.The DNA content of 10 environmental coastal sediment samples was extacted from paleotsunami deposit and peat layers of a core and additional peat and beach sand surface samples taken from a wetland on eastern Hokkaido Island (Japan) facing the Kuril Trench subduction zone generating frequent large tsunamigenic earthquakes. The 37f hypervariable region of the foraminiferal SSU rDNA was PCR amplified and PCR products were pooled in one library for Illumiona MiSeq sequence and diversity analyses.