cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/s8h9pg
title: Tipuloidea of Martinique - 2016-2018

description: This first checklist of Tipuloidea of Martinique in largely based on specimens collected during an expedition in the Réserve Biologique Intégrale (RBI) des Pitons du Carbet in January-February 2018, where crane flies appeared to be by far the most abundant Diptera in the pan traps employed. This survey revealed the presence of 26 species of Limoniidae, including one new species in each of the genera Teucholabis Osten Sacken, 1860, Atypophthalmus Brunetti, 1911 and Rhipidia Meigen, 1818. Female specimens of seven other species have not yet been identified to the species level. This inventory, “Dolichopodid survey of Martinique (Diptera: Dolichopodidae)”, consisted of two consecutive parts: (i) a two weeks inventory of the RBI Pitons du Carbet (19/1-4/2/2018) and (ii) a one week survey of mainly coastal sites in the south of the island (5-13/2/2018). Pollet et al. (2018) provide a detailed description of the sampling methods and areas visited. Seven of the eight locations within the RBI des Pitons du Carbet selected for sampling, and pan traps were installed during 22-27 January (both sites at Gros-Morne are considered one location). An 8th location (Plateau Boucher) adjacent to the RBI was added on 2 February. In all but one location, one principal and two supplementary sites were in place for pan trapping. In the principal sites, 10 units of one blue, yellow and white trap were in operation (i.e., a total of 30 traps), whereas only 10 yellow pan traps were employed in supplementary sites. All traps in the RBI were operational at soil surface level and fixed with metal pins; formalin solution (5%) with detergent was used as fixative. At each site, sampling lasted for one full week. A total of 389 pan traps were used in and near the RBI des Pitons du Carbet, and another 72 beyond that area.

In addition, the set of samples gathered by Eddy Dumbardon-Martial in the RBI des Pitons du Carbet during a preceding survey (“Etude de la faune entomologique et d’autres invertébrés de la RBI des Pitons du Carbet (Martinique”) in 2016-2017 was also examined, resulting in the discovery of Zelandotipula gelhausi sp. nov. (Tipulidae).

Pollet, M., Dumbardon-Martial, E. Maréchal, P. (2018) Dolichopodid survey of Martinique (Diptera: Dolichopodidae). Fly Times 60: 4-12.
DOI: 10.15468/dl.vqr8ph
title: Occurrence Download

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

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033157-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/2gvcfn
title: Checklist of alien parrots of Turkey

description: The checklist of alien parrot species in Turkey is a species checklist dataset managed by the Gazi University. It was developed particularly for the Turkish parakeet census project (trpapagansayimlari.blogspot.com), and it includes newly introduced parrot species not covered elsewhere (yet). Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, higher classification and stable taxon identifier (in the taxon core), the presence status, date of first collection and last observation (given as a year range in the event date) and degree of establishment of the species in Turkey in the distribution extension. Issues with the dataset can be reported at esraper@gazi.edu.tr
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via e-mail.
DOI: 10.15468/dl.43a3ck
title: Occurrence Download

description: A dataset containing 940 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Aquatic vascular plants of the Middle Urals (Sverdlovsk region, Russian Federation)"
 ]
}

 The dataset includes 940 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033154-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/ckq9l7
title: Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium

description: Invasive species - New Zealand pigmyweed (Crassula helmsii) occurrences in Flanders, Belgium is a sampling event dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 274 sampling events with 162 occurrences of invasive New Zealand pigmyweed starting from 2013. This dataset is a subset of a larger vegetation analysis and focuses only on the Crassula helmsii occurrences. Here the dataset is published as a standardized Darwin Core Archive and includes for each event: a stable eventID, date and location of the observation, and a short description of the sampling protocol (in the event core), supplemented with specific information for each occurrence: a stable occurrenceID, the scientific name and higher classification of the observed species, the number of recorded individuals and a reference to the observer of the record (in the occurrence extension). Issues with the dataset can be reported at https://github.com/inbo/data-publication/issues
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via https://twitter.com/trias_project.
This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO).
DOI: 10.15468/dl.dpqy73
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033155-250920141307145/datasets/export for details.
DOI: 10.15468/s8c7n9
title: Medetera species with multi-coloured eyes in southern Europe

description: This dataset hold the records of 7 new soil-dwelling Medetera species with multi-coloured eyes in southern Europe. The records are associated and extensively described in Pollet et al 2022 and all originate from the wider Mediterranean region in southern Europe, in particular from the Iberian Peninsula, Italy, southern France and Corsica.
We have released this dataset to the public domain under a CC-BY licence. We would appreciate it if you follow the GBIF citation guidelines (https://www.gbif.org/citation-guidelines). If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata.
DOI: 10.15468/ub8mcm
title: Updated checklist of the ants in Belgium

description: The Updated checklist of the ants in Belgium is a species checklist dataset published by Institute of Natural Sciences. It contains information on 100+ ant species occurring in Belgium, detected between 1833 and 2023. Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, kingdom, and stable taxon identifier (in the taxon core), the presence in Flanders, Wallonia and the Brussels Capital Region, the year of the first introduction (first collection) and last assessment/observation in Belgium (given as a year range), as well as the degree of establishment and the pathway(s) of introduction (in the distribution extension), coarse habitat information (in the species profile extension), and the native range(s) (in the description extension). Issues with the dataset can be reported at https://github.com/trias-project/belgian-formicidae-checklist.
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don’t hesitate to contact us via the contact information provided in the metadata.
This dataset was published as open data for the TrIAS project (Tracking Invasive Alien Species http://trias-project.be, Vanderhoeven et al. 2017), with technical support provided by the Research Institute for Nature and Forest (INBO). It is selected as one of the authoritative sources for the compilation of a unified and reproducible checklist of alien species in Belgium.
DOI: 10.15468/85v6gh
title: Legacy observations of the stag beetle (Lucanus cervus) in Belgium

description: This dataset contains historical records of the stag beetle (Lucanus cervus) compiled from various sources, including literature, private and public collections, own field work, legacy databases, personal communications, and archives. The records primarily date from periods before the widespread use of digital recording platforms and provide valuable insights into the historical distribution of the species in Belgium. The database was set up in 2004 and seased in 2016 when digital recording platforms (e.g. waarnemingen.be and inaturalist.com) made these kind of databases obsolete. Where available, observations include location, date, source, and observer information. Data quality varies depending on the origin, but all records have been validated at the species level.When the precise location was known dwc_coordinateUncertaintyInMeters was set to 100m. If only dwc_municipality or a larger forest complex was known, dwc_coordinateUncertaintyInMeters was set to 5000m.In dwc_occurrenceRemarks:REC: recorder: person who found or collected the specimenDET: determinator: person who identified the specimenAUCT: auctor: person or organisation who owns the specimen or transefered the data to INBO and/or literature reference from which the data was compiledBesides records encoded by INBO itself, the data contains records that were copied from other databases with permission to publish them at GBIF. Records labbeled with one of the following AUCT (dwc:collectionCode) come from these databases:BIM: Occurrence data compiled by Leefmilieu Brussel - Environnement BruxellesCammaerts R: Occurrence data compiled by Roger Cammaertscoll. IRSNB/KBIN: Collection data at the Royal Belgian Institute of Natural Sciencecoll. M.Zool.ULg: Collection data at the Museum Zoology ULiege Gemblouxcoll. ULB: Collection data at the Muséum de Zoologie et d’AnthropologieDEMNA: Occurrence data compiled by Département de l’Etude du milieu naturel et agricole;FSAGX fiches: Database on paper fiches of the Museum Zoology ULiege GemblouxMuseum voor Dierkunde Gent: Collection data at the Ghent University Museum & Botanical Garden
DOI: 10.15468/dl.zwnq6s
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Herpestes javanicus",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033156-250920141307145/datasets/export for details.
DOI: 10.15468/54nwog
title: Non-validated red list of Flanders, Belgium

description: The Non-validated red lists of Flanders, Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO) and described (v1.1) in Maes et al. 2019b (https://doi.org/10.3897/BDJ.7.e34089). It includes 3.161 taxa from 19 Flemish red lists that are considered non-validated, i.e. which did not use quantitative criteria and a representative sample of occurrences across all ecological regions in Flanders (Maes et al. 2015) for red list assessment. Here this compilation is published as a standardized Darwin Core Archive and includes for each taxon: the scientific name, higher classification (provided by the GBIF Backbone Taxonomy, https://doi.org/10.15468/39omei), stable taxon identifier and Dutch vernacular name (in the taxon core) and the red list category in Flanders as published, its IUCN equivalent and year of assessment (respectively in occurrenceRemarks, threatStatus and eventDate in the distribution extension). Issues with the dataset can be reported at: https://github.com/inbo/rl-flanders-checklist
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.
DOI: 10.15468/nvabg3
title: eDNA from water column to characterise fish and invertebrate communities from 30 sites in the Belgian Part of the North Sea -12S

description: This dataset contains eDNA metabarcoding data of fish species detected in 30 locations in the Belgian Part of the North Sea (BPNS). The seawater samples were collected during two different field campaigns in September and November 2021.
The fish species were identified using 12S eDNA metabarcoding.
The dataset includes amplicon sequence variants and their associated metadata.

Study extend: 
The construction of offshore wind farms may affect local soft-sediment fauna. Hence, an efficient monitoring technique is needed to monitor the potential effects on the marine ecosystem. Here, we assess whether eDNA metabarcoding is a suitable alternative to monitor fish and epibenthos biodiversity in these difficult to access marine habitats. Water sampling and trawl surveys were conducted in parallel in 12 coastal and 18 offshore sites, the latter located inside and outside two offshore wind farms in the Belgian part of the North Sea.

project ID: Bioproject Accession - PRJNA1032405 (https://www.ncbi.nlm.nih.gov/bioproject/1032405)
[This dataset was processed using the GBIF eDNA converter tool.]
DOI: 10.15468/mw9c66
title: Inventory of the terrestrial isopods in Belgium (2011-2020)

description: Inventory of the terrestrial isopods in Belgium (2011-2020) is an occurrence dataset published by Spinicornis (Terrestrial Isopod Research Group of Belgium), the Research Institute of Nature and Forest (INBO), and Natuurpunt Studie and described in Boevaere et al. 2022 (https://doi.org/10.3897/zookeys.1101.65810). The dataset represents the most complete overview of terrestrial isopods in Belgium and includes occurrences of 35 species, observed between 2011 and 2020. There are 36 native terrestrial isopod species in Belgium (De Smedt et al. 2018) and only one (i.e. Miktoniscus patiencei Vandel, 1946) hasn’t been detected in Belgium between 2011 and 2020. The occurrences originate from field surveys, pitfall trap projects and casual observations. The recorded data are registered through the citizen science portals waarnemingen.be and observations.be, managed by Natuurpunt Studie and Natagora respectively. All data were verified by experts. Here, the dataset is published as a standardized Darwin Core Archive and includes for each record an occurrenceID, reference, date, location and scientific name and if available also individual count, sex, lifestage, behavior, sampling protocol and information on the identification.
Generalized and/or withheld information: location information is generalized to 5 x 5 km² Universal Transverse Mercator (UTM) grid cells. Observer name, exact XY-coordinates, toponyms, and photographs are not included in the published dataset, but are known in the source database.
To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.natuurpunt.be/normen-voor-datagebruik) and provide a link to the original dataset (https://doi.org/10.15468/mw9c66) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to provide more information and available for help with analysing the data for your project, so please contact us via the contact information provided in the metadata or via pepijn@spinicornis.be.
DOI: 10.15468/dl.456nxh
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Amolops xinduqiao"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033159-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e6yyx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peliperdix lathami",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033158-250920141307145/datasets/export for details.
DOI: 10.6084/m9.figshare.30245893
title: Supplementary Material for: Multidimensional Characterisation of Eating behaviour in Genetic Obesity – A Systematic Review

description: Introduction: Genetic forms of obesity, including monogenic (MO) and syndromic (SO) obesity, are characterised by severe, early-onset weight gain due to disrupted central regulation of body weight, typically involving key pathways such as the leptin–melanocortin axis. These alterations result in marked hyperphagia and complex eating behaviours, yet clinical characterisation remains limited. This review aimed to describe the multidimensional eating behaviour profiles across genetically confirmed obesity, explore their variability, and evaluate existing assessment tools to support early diagnosis, personalised care, and therapeutic monitoring.
Methods: We conducted a systematic review following PRISMA guidelines including publications up to 4 September 2025. A total of 162 studies involving individuals with genetically confirmed SO or MO were analysed. Eating behaviours were categorised into nine dimensions: food-centred thinking, food seeking/stealing, hunger/satiety, ingestive/oral behaviours, nutritional quality, food preferences, food acceptability, loss of control eating, and eating restraint. Assessment tools and methodologies were systematically reviewed.
Results: Hyperphagia was consistently reported across genetic aetiologies, though definitions and measures remain heterogeneous. Prader-Willi syndrome (PWS), the most studied condition was associated with early-onset hyperphagia, increased hunger, pronounced food preoccupation, compulsive food seeking/stealing and strong preferences for carbohydrate-rich, large quantities and unusual food items. Similar behavioural traits were found in other SO and MO, including Bardet-Biedl syndrome, Alström syndrome, Fragile X syndrome, WAGR syndrome, Pseudohypoparathyroidism Ia, 16p11.2 deletion and LEPR, POMC, and MC4R deficiencies. Behavioural traits appeared relatively consistent across sex, age, and genotypes within syndromes. Most studies relied on caregiver reports; existing tools such as the Hyperphagia Questionnaire (HQ) and Food-Related Problem Questionnaire (FRPQ), developed primarily for PWS, did not fully capture the behavioural spectrum or suit all cognitive profiles. Tools applicable to individuals without intellectual developmental disorders, particularly adults living independently, remain scarce.
Conclusion: This is the first systematic review to comprehensively map eating behaviours across rare genetic obesity using a multidimensional approach. It highlights the shared feature of disrupted appetite regulation and emphasises the need for standardised, multidimensional tools suitable for both clinical and research contexts. Better behavioural characterisation will support targeted therapies and improve outcome monitoring in these high-need populations.
DOI: 10.6084/m9.figshare.30245893.v1
title: Supplementary Material for: Multidimensional Characterisation of Eating behaviour in Genetic Obesity – A Systematic Review

description: Introduction: Genetic forms of obesity, including monogenic (MO) and syndromic (SO) obesity, are characterised by severe, early-onset weight gain due to disrupted central regulation of body weight, typically involving key pathways such as the leptin–melanocortin axis. These alterations result in marked hyperphagia and complex eating behaviours, yet clinical characterisation remains limited. This review aimed to describe the multidimensional eating behaviour profiles across genetically confirmed obesity, explore their variability, and evaluate existing assessment tools to support early diagnosis, personalised care, and therapeutic monitoring.
Methods: We conducted a systematic review following PRISMA guidelines including publications up to 4 September 2025. A total of 162 studies involving individuals with genetically confirmed SO or MO were analysed. Eating behaviours were categorised into nine dimensions: food-centred thinking, food seeking/stealing, hunger/satiety, ingestive/oral behaviours, nutritional quality, food preferences, food acceptability, loss of control eating, and eating restraint. Assessment tools and methodologies were systematically reviewed.
Results: Hyperphagia was consistently reported across genetic aetiologies, though definitions and measures remain heterogeneous. Prader-Willi syndrome (PWS), the most studied condition was associated with early-onset hyperphagia, increased hunger, pronounced food preoccupation, compulsive food seeking/stealing and strong preferences for carbohydrate-rich, large quantities and unusual food items. Similar behavioural traits were found in other SO and MO, including Bardet-Biedl syndrome, Alström syndrome, Fragile X syndrome, WAGR syndrome, Pseudohypoparathyroidism Ia, 16p11.2 deletion and LEPR, POMC, and MC4R deficiencies. Behavioural traits appeared relatively consistent across sex, age, and genotypes within syndromes. Most studies relied on caregiver reports; existing tools such as the Hyperphagia Questionnaire (HQ) and Food-Related Problem Questionnaire (FRPQ), developed primarily for PWS, did not fully capture the behavioural spectrum or suit all cognitive profiles. Tools applicable to individuals without intellectual developmental disorders, particularly adults living independently, remain scarce.
Conclusion: This is the first systematic review to comprehensively map eating behaviours across rare genetic obesity using a multidimensional approach. It highlights the shared feature of disrupted appetite regulation and emphasises the need for standardised, multidimensional tools suitable for both clinical and research contexts. Better behavioural characterisation will support targeted therapies and improve outcome monitoring in these high-need populations.