cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/fy9-wzl-lt1
title: Albinaria corrugata corrugata (Bruguière, 1792)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gcy-20m-te9
title: Alinda biplicata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r49-2py-ht4
title: Chrysallida P. P. Carpenter, 1856

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/522-ylx-s8q
title: Bensonella plicidens (W. H. Benson, 1849)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bja-s53-a3k
title: Vallonia pulchella (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gr1-khc-x8z
title: Pseudosuccinea columella (Say, 1817)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.6084/m9.figshare.29900153
title: Source data for Paper 1 - EVALUATING METHODOLOGIES USED TO MONITOR WILDLIFE CROSSING STRUCTURES – A SYSTEMATIC REVIEW

description: <b>(i)</b><b> </b><b>Abstract</b>Wildlife crossing structures are widely implemented to mitigate the detrimental effects of increasing road infrastructure. This global systematic review assessed the effectiveness of current research in evaluating the success of these structures in addressing both the immediate and long-term impacts of roads. The results indicate that despite 50 years of research, there is not enough evidence to reach definite conclusions. Many studies rely on single monitoring methods and prioritise wildlife movement over other critical measures such as population viability, genetic flow and collision reduction. Inconsistencies in definitions of effectiveness, along with lack of control sites and baseline data further limit comparability across studies. Additionally, short study durations and geographic bias of research towards the global north further limited fair evaluation. However, the increase in use of emerging technologies, particularly artificial intelligence, offers significant potential to improve monitoring practices. This review recommends prioritising the development and integration of these technologies alongside establishing standardising guidelines, encouraging global inclusivity and incorporating long-term monitoring.<br>
DOI: 10.6084/m9.figshare.29900153.v1
title: Source data for Paper 1 - EVALUATING METHODOLOGIES USED TO MONITOR WILDLIFE CROSSING STRUCTURES – A SYSTEMATIC REVIEW

description: <b>(i)</b><b> </b><b>Abstract</b>Wildlife crossing structures are widely implemented to mitigate the detrimental effects of increasing road infrastructure. This global systematic review assessed the effectiveness of current research in evaluating the success of these structures in addressing both the immediate and long-term impacts of roads. The results indicate that despite 50 years of research, there is not enough evidence to reach definite conclusions. Many studies rely on single monitoring methods and prioritise wildlife movement over other critical measures such as population viability, genetic flow and collision reduction. Inconsistencies in definitions of effectiveness, along with lack of control sites and baseline data further limit comparability across studies. Additionally, short study durations and geographic bias of research towards the global north further limited fair evaluation. However, the increase in use of emerging technologies, particularly artificial intelligence, offers significant potential to improve monitoring practices. This review recommends prioritising the development and integration of these technologies alongside establishing standardising guidelines, encouraging global inclusivity and incorporating long-term monitoring.<br>
DOI: 10.3535/40g-kla-gtk
title: Cassidula vespertilionis (Lesson, 1831)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/alx-9s9-9le
title: Turris Batsch, 1789

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vzh-q8h-zke
title: Turris Batsch, 1789

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zkc-y4v-ha3
title: Oliva amethystina (Röding, 1798)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0w2-7j6-m8v
title: Alvania cancellata (da Costa, 1778)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kvz-mhz-l0q
title: Pyramidellidae J. E. Gray, 1840

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hy5-7p6-n62
title: Persicula interruptolineata (Megerle von Mühlfeld, 1816)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7y3-1qt-j0y
title: Oliva hirasei Kuroda & Habe, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fy3-h4c-1rn
title: Clausilia bidentata (Strøm, 1765)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/n94-wel-b82
title: Cochlodina laminata (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5524/102750
title: Supporting data for "Finding easy regions for short-read variant calling from pangenome data"

description: While benchmarks on short-read variant calling suggest low error rate below 0.5%, they are only applicable to predefined confident regions. For a human sample without such regions, the error rate could be 10 times higher. Although multiple sets of easy regions have been identified to alleviate the issue, they fail to consider non reference samples or are biased towards existing short-read data or aligners.<br>Here, using hundreds of high quality human assemblies, we derived a set of sample-agnostic easy regions where short-read variant calling reaches high accuracy. These regions cover 88.2% of GRCh38, 92.2% of coding regions and 96.3% of ClinVar pathogenic variants. They achieve a good balance between coverage and easiness and can be generated for other human assemblies or species with multiple well assembled genomes.<br>This resource provides a convient and powerful way to filter spurious variant calls for clinical or research human samples.
DOI: 10.3535/4jp-z5v-6v8
title: Macrogastra attenuata lineolata (Held, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kb2-7hl-7xg
title: Bulla ampulla Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5qc-1za-8eg
title: Neptunea decemcostata (Say, 1826)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dq2-0k1-68l
title: Biomphalaria straminea (Dunker, 1848)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ax1-5k2-zb6
title: Radix auricularia (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l4c-j5s-aqy
title: Mastus H. Beck, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9zl-d6e-pg8
title: Bulla striata Bruguière, 1792

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/85x-934-1x3
title: Achatinella turgida Newcomb, 1854

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gy5-ynh-wr2
title: Crassispira Swainson, 1840

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/h2m-ev2-pp5
title: Turridae H. Adams & A. Adams, 1853 (1838)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ykk-pek-0cm
title: Granulina Jousseaume, 1888

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.x5yuac
title: Occurrence Download

description: A dataset containing 6931 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mosla dianthera"
 ]
}

 The dataset includes 6931 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004912-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6r7-he8-7bf
title: Turris Batsch, 1789

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x16-cjm-7c8
title: Delima binotata satura (Rossmässler, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wxq-ml2-zza
title: Oliva reticularis Lamarck, 1811

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5e9-ebf-rp0
title: Clausilia dubia Draparnaud, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/grq-pgl-0sc
title: Albinaria praeclara parallelifera (O. Boettger, 1878)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dxl-8rt-2k9
title: Drymaeus mexicanus (Lamarck, 1822)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gkc-8ln-86q
title: Clausilia dubia Draparnaud, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yq8-nrw-5v5
title: Ruthenica filograna (Rossmässler, 1836)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4p2-kd7-gpn
title: Diacavolinia longirostris (Blainville, 1821)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7z1-3lt-8cl
title: Urocoptis H. Beck, 1837

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j1e-ezm-lpm
title: Radsia nigrovirescens (Blainville, 1825)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t9w-m4x-x36
title: Cavolinia tridentata (Forsskål, 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/81n-bmw-2xj
title: Orculella critica (L. Pfeiffer, 1856)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9yb-jhy-6cd
title: Macrogastra plicatula (Draparnaud, 1801)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hjh-czm-zfm
title: Radix auricularia (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/as5-77z-lsh
title: Cecilioides acicula (O. F. Müller, 1774)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8dg-s3v-2kq
title: Lymnaea stagnalis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/new-6fs-r8l
title: Conasprella articulata (G. B. Sowerby II, 1873)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.46f9su
title: Occurrence Download

description: A dataset containing 83013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Vipera berus",
 "Year 2000-2025"
 ]
}

 The dataset includes 83013 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004897-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0167228.10fu
title: SH0167228.10FU

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: 10.15156/bio/sh0167229.10fu
title: SH0167229.10FU

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: 10.15156/bio/sh0167230.10fu
title: SH0167230.10FU

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: 10.15156/bio/sh0167231.10fu
title: SH0167231.10FU

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: 10.15156/bio/sh0167232.10fu
title: SH0167232.10FU

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: 10.15156/bio/sh0167233.10fu
title: SH0167233.10FU

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: 10.15156/bio/sh0167234.10fu
title: SH0167234.10FU

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: 10.15156/bio/sh0167235.10fu
title: SH0167235.10FU

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: 10.15156/bio/sh0167236.10fu
title: SH0167236.10FU

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: 10.15156/bio/sh0167237.10fu
title: SH0167237.10FU

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.