cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p5dvznfb4c
title: Environmental Governance in Railway megaprojects: A Stakeholder Framework and Validated Empirical Model

description: This data, presented in the supplementary file (Table S1), is a comprehensive list of the 38 included studies used in the Systematic Literature Review (SLR) process for the manuscript titled “Environmental Governance in Railway megaprojects: A Stakeholder Framework and Validated Empirical Model.”

 The table includes details of 27 academic papers, seven technical reports, and four additional articles analysed. For each study, the author(s) and year of publication are provided as references, along with the geographic context, method, and key contribution to environmental governance. 

The abstract of the manuscript is as follows;

Environmental risk routinely delays, inflates, and discredits railway megaprojects, yet guidance on how to govern these risks remains fragmented and sector-agnostic. This study addresses this gap by developing and empirically validating a unified environmental governance framework tailored to railway transport infrastructure. A structured review of 38 peer-reviewed articles and technical reports (2010-2025) maps decision-making roles of six core stakeholder groups: governance agencies, funding institutions, internal project teams, environmental organisations, community groups and the media, across the project lifecycle. These insights are distilled into six propositions linking stakeholder mechanisms to practical environmental and performance outcomes. 
The framework is empirically validated through three contrasting case studies: California High-Speed Rail, the Fehmarnbelt Fixed Link, and Tanzania’s Standard Gauge Railway, utilising documentary evidence and publicly available monitoring data. Results show that inclusive, transparent, and adaptive governance mechanisms reduce schedule slippage, mitigate cost escalations linked to environmental revisions, and improve compliance with biodiversity and emission standards. This study makes two contributions. Practically, the study offers a step-by-step checklist enabling policymakers, sponsors, and contractors to embed environmental safeguards from feasibility through decommissioning. Theoretically, it integrates stakeholder, adaptive governance, and megaproject literatures into a transferable actor–mechanism–lifecycle model. The framework equips policymakers and scholars with a ready-to-apply tool for aligning railway investment with climate and biodiversity goals. The study concludes with recommendations for future research to strengthen environmental governance and performance in transport infrastructure.
DOI: 10.13145/bacdive2873.20250331.9.3
title: Sporosalibacterium faouarense Rezgui et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0071120.10fu
title: SH0071120.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive2873.20251217.10
title: Sporosalibacterium faouarense Rezgui et al. 2011

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2874.20241212.9.2
title: Anaerosalibacter bizertensis Rezgui et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0071121.10fu
title: SH0071121.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.17632/p5dvznfb4c.1
title: Environmental Governance in Railway megaprojects: A Stakeholder Framework and Validated Empirical Model

description: This data, presented in the supplementary file (Table S1), is a comprehensive list of the 38 included studies used in the Systematic Literature Review (SLR) process for the manuscript titled “Environmental Governance in Railway megaprojects: A Stakeholder Framework and Validated Empirical Model.”

 The table includes details of 27 academic papers, seven technical reports, and four additional articles analysed. For each study, the author(s) and year of publication are provided as references, along with the geographic context, method, and key contribution to environmental governance. 

The abstract of the manuscript is as follows;

Environmental risk routinely delays, inflates, and discredits railway megaprojects, yet guidance on how to govern these risks remains fragmented and sector-agnostic. This study addresses this gap by developing and empirically validating a unified environmental governance framework tailored to railway transport infrastructure. A structured review of 38 peer-reviewed articles and technical reports (2010-2025) maps decision-making roles of six core stakeholder groups: governance agencies, funding institutions, internal project teams, environmental organisations, community groups and the media, across the project lifecycle. These insights are distilled into six propositions linking stakeholder mechanisms to practical environmental and performance outcomes. 
The framework is empirically validated through three contrasting case studies: California High-Speed Rail, the Fehmarnbelt Fixed Link, and Tanzania’s Standard Gauge Railway, utilising documentary evidence and publicly available monitoring data. Results show that inclusive, transparent, and adaptive governance mechanisms reduce schedule slippage, mitigate cost escalations linked to environmental revisions, and improve compliance with biodiversity and emission standards. This study makes two contributions. Practically, the study offers a step-by-step checklist enabling policymakers, sponsors, and contractors to embed environmental safeguards from feasibility through decommissioning. Theoretically, it integrates stakeholder, adaptive governance, and megaproject literatures into a transferable actor–mechanism–lifecycle model. The framework equips policymakers and scholars with a ready-to-apply tool for aligning railway investment with climate and biodiversity goals. The study concludes with recommendations for future research to strengthen environmental governance and performance in transport infrastructure.
DOI: 10.13145/bacdive2874.20251217.10
title: Anaerosalibacter bizertensis Rezgui et al. 2012

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0071122.10fu
title: SH0071122.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive2875.20241212.9.2
title: Colwellia psychrerythraea (ex D'Aoust and Kushner 1972) Deming et al. 1988

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2875.20251217.10
title: Colwellia psychrerythraea (ex D'Aoust and Kushner 1972) Deming et al. 1988

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0071123.10fu
title: SH0071123.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive2876.20241212.9.2
title: Colwellia maris Yumoto et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2876.20251217.10
title: Colwellia maris Yumoto et al. 1998

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.cehhpp
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trichocolea elliottii Steph."
 ]
}

 The dataset includes 93 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011500-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4g3bm
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Oenothera longiflora L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 146 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011501-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zctpr6
title: Occurrence Download

description: A dataset containing 7966 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Slovakia",
 "DatasetKey is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 7966 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070659-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18739/a2h98zf9q
title: Western Greenland ice sheet-land-ocean interactions: near-shore dissolved organic carbon 14C ages and composition in eastern Baffin Bay, 2021

description: This dataset was generated to improve understanding of how freshwater inputs from the Greenland and surrounding terrestrial systems influence dissolved organic carbon (DOC) dynamics in coastal waters in western Greenland. Water samples were collected from September 14 to October 1, 2021, during a cruise aboard the US Coast Guard Cutter Healy along a latitudinal transect off western Greenland, spanning Nuuk to the Uummannaq Fjord. At 12 stations, seawater was sampled at 5 and 50 meters depth for biogeochemical and isotopic analysis. The dataset includes measurements of DOC concentration and composition, radiocarbon (¹⁴C) and stable carbon isotopes (¹³C) of DOC, stable oxygen isotopes (δ¹⁸O), salinity, water temperature, and molecular signatures of DOC. DOC composition was resolved into classes such as aliphatic, lignin, unsaturated high-oxygen (UHO), and others using ultra-high performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-HRMS). Radiocarbon measurements were conducted using accelerator mass spectrometry (AMS). The resulting dataset offers insights into the spatial variability of DOC age and sources across glaciated and non-glaciated regions of Greenland and serves as a reference for future studies on Arctic carbon cycling under ongoing climate change.
DOI: 10.25903/bjpw-1y89
title: Data for: The Changing Focus of Coral-Macrophyte Interactions: A Review of Four Decades of Research

description: ,<p><b>Background:</b> Coral reefs have been experiencing declines in coral cover over the past five decades. As coral populations decline, space can be rapidly colonised by algae and cyanobacteria, often leading to benthic communities dominated by fleshy macrophytes. These changes pose major challenges for coral recovery, particularly for the early life stages that are critical for population replenishment. Interactions between corals and macrophytes are increasingly recognised as key processes shaping reef trajectories, yet our understanding remains fragmented, with strong taxonomic and life-stage biases in the existing literature. This study addresses these gaps through a systematic review of coral–macrophyte interactions, highlighting patterns and biases in the taxa studied and the outcomes of these interactions across coral life stages.</p>

<p><b>Methods:</b> We conducted a systematic literature review using Scopus to identify original research articles on coral–macrophyte interactions published between January 1980 and May 2022. Search terms targeted studies mentioning both corals and algae/seaweed in the context of competition or interaction, returning 1504 potential publications. After screening, studies were included if they reported quantified outcomes of interactions between hard corals and macrophytes (excluding seagrasses). Additional studies were identified through reference searches. For each study, we extracted metadata, study design, taxonomic and functional identity of interacting taxa, life stages of corals, measured parameters, interaction outcomes, and proposed mechanisms of competition. Coral life stages were categorised as larvae, juveniles, or adults, and classified by growth form. Macrophytes were grouped into broad functional types and further classified into morphological groups where possible. Taxonomy was standardised using WoRMS and AlgaeBase. Regional assignments followed GCRMN categories, and study duration was recorded or averaged when necessary. To contextualise research effort, we also assessed the number of coral–macrophyte studies published each year relative to overall coral reef publications.</p>

<p><b>This record contains:</b></p>
<ul>
<li> one xlsx file containing the findings of all the studies included in this review</li>
<li>one xlsx file containing the number of coral reef ecology studies published between 1980 and 2022</li>
</p>
<p>Software/equipment used to manipulate/analyse the data: Microsoft Excel and RStudio</p>
DOI: 10.15468/dl.sje6rz
title: Occurrence Download

description: A dataset containing 2843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Latvia",
 "DatasetKey is A global database for the distributions of crop wild relatives"
 ]
}

 The dataset includes 2843 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070662-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.0a527y0h
title: THASOS - Fragments b et c raccordés du bloc portant un contrat de location d'un bien-fonds d'Héraclès (IG XII Suppl. 454)
title: Estampage n. 06551

description: numéro d'inventaire
description: notes
description: notes bibliographiques
description: Source: Bouillet, Anne
description: Provenance: Grèce
description: Provenance: Athènes
description: Provenance: 6, rue Didotou 
10680 Athènes
description: Provenance: Salle des estampages
description: Provenance: École française d’Athènes
description: Provenance: 04E
description: created: s.d.
description: modified: 13/12/2018
DOI: 10.15468/dl.4yxvgb
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-50.22631 -7.13338,-49.28791 -7.24549,-49.10613 -5.9082,-50.25087 -5.92286,-50.22631 -7.13338))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EN, CR)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 56 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070663-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8kagx
title: Occurrence Download

description: A dataset containing 9727712 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Peru"
 ]
}

 The dataset includes 9727712 records from 2375 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070626-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d54q4r
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is Sarracenia oreophila"
 ]
}

 The dataset includes 165 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053191-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxqn5r
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "HasCoordinate is true",
 "Country is Poland"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053193-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8mh8p
title: Occurrence Download

description: A dataset containing 8 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'PRESERVED_SPECIMEN'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2442105 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2442105 OR CAST(occurrence.kingdomkey AS INTEGER) = 2442105 OR CAST(occurrence.phylumkey AS INTEGER) = 2442105 OR CAST(occurrence.classkey AS INTEGER) = 2442105 OR CAST(occurrence.orderkey AS INTEGER) = 2442105 OR CAST(occurrence.familykey AS INTEGER) = 2442105 OR CAST(occurrence.genuskey AS INTEGER) = 2442105 OR CAST(occurrence.specieskey AS INTEGER) = 2442105)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 8 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053172-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.