cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/focajn
title: RINSE - Registry of non-native species in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands)

description: The Registry of non-native species in the Two Seas region countries is a species checklist dataset published by the Research Institute of Nature and Forest (INBO). It contains information on 6.643 taxa occurring in the Two Seas region countries (Great Britain, France, Belgium and the Netherlands). This dataset represents a registry of species that are not native, but recorded to live in the wild in at least one of the four countries and is the result of the screening of 55 national and international print and online sources. The checklist has been published as a data paper by Zieritz et al. (2014, https://doi.org/10.3897/neobiota.23.5665), where it can be downloaded as supplementary material. Here it is published as a standardized Darwin Core Archive and includes for each taxon: the scientific name, higher classification and stable taxon identifier (in the taxon core), the (confidence regarding the) presence of the species in each of the four countries, whether the species is native or introduced (establishment) (in the distribution extension) and coarse habitat information (in the species profile extension). Issues with the dataset can be reported at: https://github.com/trias-project/rinse-registry-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 https://twitter.com/LifeWatchINBO.
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: 10.15468/2hqkqn
title: Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium

description: Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium is a species occurrence dataset published by the Research Institute for Nature and Forest (INBO). The dataset contains over 7,500 occurrences (25% of which are American bullfrogs) sampled between 2010 until now, in the months April to October. The data are compiled from different sources at the INBO, but most of the occurrences were collected through fieldwork for the EU co-funded Interreg project INVEXO (http://www.invexo.eu). In this project, research was conducted on different methods for the management of American bullfrog populations, an alien invasive species in Belgium. Captured bullfrogs were almost always removed from the environment and humanely killed, while the other occurrences are recorded bycatch, which were released upon catch (see bibliography for detailed descriptions of the methods). Therefore, caution is advised when using these data for trend analysis, distribution range calculation, or other. Issues with the dataset can be reported at https://github.com/inbo/data-publication/tree/master/datasets/invasive-bullfrog-occurrencesWe strongly believe an open attitude is essential for tackling the IAS problem (Groom et al. 2015). 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 it however if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/2hqkqn) 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 know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/LifeWatchINBO.
DOI: 10.15468/xvuzfh
title: Checklist of non-native freshwater fishes in Flanders, Belgium

description: The Checklist of non-native freshwater fishes in Flanders, Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 34 non-native fish species occurring in Flemish natural and semi-natural waterbodies, detected in sampling between 1992 and 2024. This species checklist was assessed within the framework of the Freshwater Fish Monitoring Network by Verreycken et al. (2007) and reassessed for Verreycken et al. (2024). 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 Dutch and English vernacular name (in the vernacular names extension), the year of first introduction and last assessment in Flanders (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension) and the pathway(s) of introduction, native range(s), and invasion stage in Flanders (in the description extension). The dataset can be used for researching and managing aquatic invasions or compiling regional and national registries of non-native species. Issues with the dataset can be reported at: https://github.com/trias-project/alien-fishes-checklist
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the 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/gn87d6
title: MUNTJAC_ANTWERP - Camera trap observations of Chinese muntjac in forested areas near Antwerp (Belgium)

description: <em>MUNTJAC_ANTWERP - Camera trap observations of Chinese muntjac in forested areas near Antwerp (Belgium)</em> is a camera trap dataset published by the Research Institute of Nature and Forest (INBO). It contains camera trapping data collected for the monitoring of Chinese muntjac (<i>Muntiacus reevesi</i>) in the Region of Flanders with respect to Regulation EU nr. 1143/2014. The monitoring is performed in close collaboration with the Agency for Nature and Forest (ANB). Several forest areas east of Antwerp were sampled for animal wildlife, since Chinese muntjac is known to occur in the wider region since about 2012. The main area of study is Park Vordenstein, a government-owned woodland park that is open to the public. Camera traps were installed per forest area, in northerly direction at a height of about 50 cm. The number of camera traps varied per area and per year. Images from the camera traps were uploaded to Agouti for data annotation. All observations of muntjac were double-checked in the framework of further analyses. Issues with the dataset can be reported at https://github.com/inbo/camera-trap-datasets/issues.
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.
This dataset was collected using infrastructure managed by INBO and financed by the Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
DOI: 10.15468/dl.b9trka
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gallus lafayettii",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033153-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17234393
title: Leading large language models on a periodontology knowledge test
DOI: 10.5281/zenodo.17234394
title: Leading large language models on a periodontology knowledge test
DOI: 10.25592/uhhfdm.17907
title: Multispectral Imaging Data of Torah scroll "Vat. Ebr. 2" captured at Biblioteca Apostolica Vaticana

description: This multispectral data of the Torah scroll "Vat. Ebr 2" was captured at the Biblioteca Apostolica Vaticana in June 2023. The goal of the imaging session was to visualize reinked letters, corrections and other otherwise invisible features of the scroll. The MSI images are intended to help choose smaller areas and spots for measurements with XRF, Raman or FTIR. Additionally, they provide information about the conservation condition, for example displaying levels of mold damage. The scroll was previously digitized in great resolution from both sides. Link to digitized scroll (Biblioteca Apostolica Vaticana) In this MSI campaign only the text side of the scroll was imaged. The MSI campaign was co-organised by the Biblioteca Apostolica Vaticana, the Centre for the Study of Manuscript Cultures (CSMC), the Bundesanstalt für Materialforschung und -prüfung (BAM). Imaging was carried out using the CSMC MegaVision multispectral imaging system. The MSI system was operated by the CSMC staff, the scroll was handled by the staff of the Vatican Library digitization and conservation departments. (See contributors)

Preview JPEGs in sRGB color space are compressed and of lower quality and are only intended for quick previewing. Original, high quality, CIELAB TIF images can be found in the PROCESSED folders within each ZIP file. Each uploaded ZIP file contains the flattened, processed and color images for a single sheet of the scroll. Raw images are not included in this dataset simply for size reduction purposes. Raw images are stored internally on the servers of CSMC and, if necessary, can be separately accessed upon a reasonable request. For information about filenames and folder structure as well as MSI system, please see the files in the "info" folder and read the Brief Descriptions of Multispectral Imaging (MSI) Datasets.

Image processing was performed with Hoku image processing software. In each processed folder there are 6 images. A visible light color image called "PSC", an image highlighting the reinking called "Reinking", an image highlighting the texture called "Texture", an image showing the mold damage on sheets where mold is present called "Mold", as well as two pseudocolor images called "UVB_Composite" showing fluorescing materials present on the sheets and a "Pseudocolor" image which color-codes the reinking in blue and red for better visibility and as an alternative to the greyscale "Reinking" image.

 
description: The research for this project was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the Cluster of Excellence «Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures». The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg in collaboration with the Bundesanstalt für Materialforschung und -prüfung (BAM).
DOI: 10.15468/pnxu4c
title: Checklist of alien herpetofauna of Belgium

description: The checklist of alien herpetofauna of Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on alien amphibian and reptile species recorded in the wild in Belgium since 1968. Both established species and occasional records are included, but with information on the degree of establishment of species following the unified invasion framework of Blackburn et al. (2011). The checklist is published here as a standardized Darwin Core Archive and includes for each (sub)species: the scientific name and classification (in the taxon core), the presence in Flanders, Wallonia and the Brussels-Capital Region, year of first and last observation in Belgium (given as a year range in the event date in the distribution extension), coarse habitat information (in the species profile extension), and the degree of establishment, pathway(s) of introduction and native range(s) (in the description extension). Issues with the dataset can be reported at https://github.com/trias-project/alien-herpetofauna-belgium.
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.
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/latzp3
title: Dolichopodidae of Portugal - dataset 2009-2018

description: A first comprehensive account on the dolichopodid fauna (Diptera: Dolichopodidae) of Portugal is presented here as the result of multiple surveys by primarily Portuguese researchers between 2009 and 2016. All mainland Portuguese provinces and all districts but one (Évora) were investigated. A total of 761 dolichopodid samples were collected in 278 sampling sites distributed over 87 municipalities and 182 localities, with nearly ¾ of the samples gathered by sweepnet. In terms of generic representation, the Portuguese dolichopodid fauna occupies an intermediate position between those of northwestern European and other Mediterranean countries. Despite the large amount of data gathered, the dolichopodid fauna of Portugal remains insufficiently known and a considerable number of additional known and new species can be expected with continued sampling. A more exhaustive description of the dataset and the results of the surveys can be found in Pollet et al. (2019).
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: 10.15468/97aucj
title: List of Invasive Alien Species of Union concern

description: The List of Invasive Alien Species of Union concern (also called the Union list) is a species checklist dataset published by the Research Institute of Nature and Forest (INBO). This list contains regulated invasive alien species (IAS) that require action at European Union Level, and is at the core of Regulation (EU) 1143/2014 on the prevention and management of the introduction and spread of IAS (the IAS Regulation). The list has an evidence base in risk assessments, showing potentially significant adverse impacts on biodiversity or related ecosystem services. The species included on the Union list are subject to restrictions and measures set out in the Regulation. These include restrictions on keeping, importing, selling, breeding and growing. Member States are required to take action on pathways of unintentional introduction, to take measures for the early detection and rapid eradication of these species, and to manage species that are already widely spread in their territory.The list is dynamic and is subject to regular updates when new species are added. 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 English, Dutch, French and German common names in line with www.iasregulation.be, the date of entry into force (the date the provisions of the Regulation enter into force for the species, as mentioned in the Commission Implementing Regulation (EU) 2016/141, 2017/1263, 2019/1262, 2022/1203, 2025/1422). Issues with the dataset can be reported at https://github.com/riparias/union-list/issues. For more information on the EU IAS Regulation and the list of IAS of Union concern, please see the European Commission webpage on IAS (https://environment.ec.europa.eu/topics/nature-and-biodiversity/invasive-alien-species_en), the IUCN website on the IAS Regulation (https://www.iucn.org/our-work/topic/invasive-alien-species) and the European Alien Species Information Network.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.This dataset was published as open data for the LIFE RIPARIAS project (Reaching Integrated and Prompt Action in Response to Invasive Alien Species https://www.riparias.be/), with technical support provided by the Research Institute for Nature and Forest (INBO).
DOI: 10.15468/cynpxv
title: Glasaalmigratie - Glass eel migration in the river Yser

description: The dataset contains data from glass eel that was captured with drag and lift nets during rising tide. This to study their distribution over the area. A fyke was used to investigate the influence of limited drainage opening during rising tide on elver migration.
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.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/cynpxv) 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 know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/LifeWatchINBO.
DOI: 10.15468/4u3wm4
title: GMU8_LEUVEN - Camera trap observations in natural habitats south of Leuven (Belgium)

description: <b>GMU8_LEUVEN - Camera trap observations in natural habitats south of Leuven (Belgium)</b> is a dataset published by the Research Institute for Nature and Forest (INBO). It contains camera trap data primarily collected to monitor the interaction between human activities (e.g. recreation, hunting) and the population dynamics as well as geographical and temporal distribution of roe deer (Capreolus capreolus) and wild boar (Sus scrofa) in natural areas south of Leuven. However, the dataset also includes all recorded observations of mammals and birds captured during the monitoring period. Observations later than 2024-09-05 are under embargo, unless they are observations of non-native species.
Monitoring started in March 2018 and was conducted in close collaboration with hunters and members of local nature conservation associations active in the area. Several forest and nature areas south of Leuven were sampled, with the main forest complexes being Meerdaalwoud, Heverleebos, and Egenhovenbos. Additionally, camera traps were placed in the valleys of the Dijle, Laan, and Yse rivers. Each camera trap was installed facing north at a height of approximately 50 cm. No bait was used during the monitoring.
The sampling design was based on a grid of 250 x 250 meter cells. Camera locations were determined by randomly selecting a subset of these grid cells, and the coordinates used for placement corresponded to the center point of each selected cell. A total of 32 camera traps were used. These were relocated monthly, with each selected grid cell being monitored once during the winter and once during the summer. Images from the camera traps were uploaded to Agouti for data annotation. Issues with the dataset can be reported at https://github.com/inbo/camera-trap-datasets/issues.
We have released this dataset to the public domain under a Creative Commons Zero waiver. We kindly ask users to 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. Researchers can request more detailed geographic coordinates of the camera trap locations by contacting jim.casaer@inbo.be.
This dataset was collected using infrastructure managed by INBO and funded by the Research Foundation – Flanders (FWO) as part of Belgium’s contribution to LifeWatch.Data have been standardized to Darwin Core using the camtrapdp R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans.
DOI: 10.15468/3pmlxs
title: Ad hoc checklist of alien species in Belgium

description: The Ad hoc checklist of alien species in Belgium is a species checklist dataset published by the Research Institute of Nature and Forest (INBO). It was specifically created for the TrIAS project (Tracking Invasive Alien Species, http://trias-project.be) to account for gaps in the alien species coverage in other species checklists for Belgium and mainly includes taxonomic groups and newly introduced species not covered elsewhere (yet). Due to its ad hoc nature, the list might change substantially over time. 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 (confidence regarding the) presence of the species in Belgium (and its regions), the date of first introduction and last assessment (in the distribution extension), coarse habitat information (in the species profile extension), the pathway(s) of introduction, native range(s) and invasion stage in Belgium (in the description extension), and an overview of the consulted literature for each taxon (in the literature references extension). Issues with the dataset can be reported at https://github.com/trias-project/ad-hoc-checklistWe 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.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.