cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/tkv-5ff-5zw
title: Erysimum vitekii Polatschek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lcq-qdn-7sg
title: Erysimum vitekii Polatschek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xt7-gf8-3tw
title: Erysimum vitekii Polatschek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d17-vn7-dgq
title: Erysimum vitekii Polatschek

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g0n-ggt-wsj
title: Ponthieva andicola Rchb.f.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/53m-tfx-tgl
title: Osodendron leptophyllum (Harms) E.J.M.Koenen

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/726-fav-4er
title: Inula verbascifolia (Willd.) Hausskn.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m8v-vsb-6v7
title: Ponthieva andicola Rchb.f.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7rz-rq6-6zq
title: Silene ciliata subsp. graefferi (Guss.) Nyman

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rm7-l3x-n2p
title: Hieracium elisaeanum Arv. ex Willk.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ht8-8c1-sma
title: Moricandia moricandioides (Boiss.) Heywood

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/prs-3pz-r5w
title: Hieracium texedense Pau

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.ndhmgr
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Ambystoma maculatum)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070313-250717081556266/datasets/export for details.
DOI: 10.3535/tpz-10f-z48
title: Jasione montana L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y9c-ngj-p5r
title: Dianthus deltoides L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/18v-3r7-rh9
title: Cerastium pyrenaicum J. Gay

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r4e-0cy-e5s
title: Leucanthemopsis spathulifolia (J. Gay) Rivas Mart., A. Asensi, Molero Mesa & F. Valle

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.rjnn2v
title: Occurrence Download

description: A dataset containing 8374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tanysiptera sylvia)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 8374 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070314-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/fqp-4ee-xr8
title: Genista cinerea subsp. valentina (Willd. ex Spreng.) Rivas Mart.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mxt-kq3-bww
title: Lonicera arborea Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4h2-z44-akg
title: Gramineae Juss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e5h-yxe-vkf
title: Anacamptis pyramidalis (L.) Rich.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/gf9-d18-6ll
title: Antirrhinum onubense (Fern. Casas) Fern. Casas

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5js-sbr-4ky
title: Atocion rupestre (L.) Oxelman

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x8b-8hk-6dt
title: Epikeros pyrenaeus (L.) Raf.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ph6-hl0-305
title: Bupleurum baldense Turra

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qr7-w5d-b3r
title: Antirrhinum onubense (Fern. Casas) Fern. Casas

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/328-h2g-9t0
title: Scirpoides holoschoenus (L.) Soják

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j4d-52w-zs0
title: Daphne mezereum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7a7-z2q-7wk
title: Juncus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t3j-mef-th0
title: Linum viscosum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/fx0-qe7-j92
title: Trollius europaeus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bar-brn-x3m
title: Festuca Tourn. ex L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.gtfbcx
title: Occurrence Download

description: A dataset containing 694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Stipa purpurea"
 ]
}

 The dataset includes 694 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023851-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d9ycc6
title: Occurrence Download

description: A dataset containing 12843 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thunnus thynnus (Linnaeus, 1758)"
 ]
}

 The dataset includes 12843 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003355-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1392464.10fu
title: SH1392464.10FU

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/sh1392467.10fu
title: SH1392467.10FU

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/sh1392469.10fu
title: SH1392469.10FU

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/sh1392470.10fu
title: SH1392470.10FU

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/sh1392471.10fu
title: SH1392471.10FU

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/sh1392472.10fu
title: SH1392472.10FU

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/sh1392474.10fu
title: SH1392474.10FU

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/sh1392480.10fu
title: SH1392480.10FU

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/sh1392484.10fu
title: SH1392484.10FU

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/kjdy3r2twp.1
title: A master regulator of lipid metabolism acting through protein denitrosylation, Venetos et al.

description: Lipid homeostasis is subject to control by master regulators such as sirtuin deacetylases that reverse CoA-dependent acetylation. Here we show that a mammalian denitrosylase (SCoR2), which counteracts CoA-dependent S-nitrosylation, serves as a major regulator of both fat storage and lipogenesis to control metabolic health. In mice, SCoR2 expression correlates with body mass, and deleting or drugging SCoR2 prevents both diet-induced obesity and fatty liver (MASLD). Loss of SCoR2 in adipocytes promotes S-nitrosylation of Myosin 9, inhibiting transcription factors PPAR, SREBP1 and CEBP to limit fat storage, while in hepatocytes, SCoR2-regulated S-nitrosylation of lipogenic enzymes reduces fat synthesis and induces fat oxidation. In humans, an obesity-linked polymorphism increases SCoR2 expression, and in patient adipose and liver tissues, SCoR2 expression level directly correlates with adipocyte size and MASLD. SCoR2 is therefore a key regulator of nutrient metabolism, akin to sirtuins, and a potential drug target for obesity and MASLD.

Raw data files for publication figures
DOI: 10.17632/kjdy3r2twp
title: A master regulator of lipid metabolism acting through protein denitrosylation, Venetos et al.

description: Lipid homeostasis is subject to control by master regulators such as sirtuin deacetylases that reverse CoA-dependent acetylation. Here we show that a mammalian denitrosylase (SCoR2), which counteracts CoA-dependent S-nitrosylation, serves as a major regulator of both fat storage and lipogenesis to control metabolic health. In mice, SCoR2 expression correlates with body mass, and deleting or drugging SCoR2 prevents both diet-induced obesity and fatty liver (MASLD). Loss of SCoR2 in adipocytes promotes S-nitrosylation of Myosin 9, inhibiting transcription factors PPAR, SREBP1 and CEBP to limit fat storage, while in hepatocytes, SCoR2-regulated S-nitrosylation of lipogenic enzymes reduces fat synthesis and induces fat oxidation. In humans, an obesity-linked polymorphism increases SCoR2 expression, and in patient adipose and liver tissues, SCoR2 expression level directly correlates with adipocyte size and MASLD. SCoR2 is therefore a key regulator of nutrient metabolism, akin to sirtuins, and a potential drug target for obesity and MASLD.

Raw data files for publication figures and for proteomics
DOI: 10.17632/kjdy3r2twp.2
title: A master regulator of lipid metabolism acting through protein denitrosylation, Venetos et al.

description: Lipid homeostasis is subject to control by master regulators such as sirtuin deacetylases that reverse CoA-dependent acetylation. Here we show that a mammalian denitrosylase (SCoR2), which counteracts CoA-dependent S-nitrosylation, serves as a major regulator of both fat storage and lipogenesis to control metabolic health. In mice, SCoR2 expression correlates with body mass, and deleting or drugging SCoR2 prevents both diet-induced obesity and fatty liver (MASLD). Loss of SCoR2 in adipocytes promotes S-nitrosylation of Myosin 9, inhibiting transcription factors PPAR, SREBP1 and CEBP to limit fat storage, while in hepatocytes, SCoR2-regulated S-nitrosylation of lipogenic enzymes reduces fat synthesis and induces fat oxidation. In humans, an obesity-linked polymorphism increases SCoR2 expression, and in patient adipose and liver tissues, SCoR2 expression level directly correlates with adipocyte size and MASLD. SCoR2 is therefore a key regulator of nutrient metabolism, akin to sirtuins, and a potential drug target for obesity and MASLD.

Raw data files for publication figures and for proteomics
DOI: 10.17632/8jw866px99.1
title: Data from two experiments investigating mapping effects between stimulus size and vertical responses

description: Here we publish the raw-data sets from two experiments investigating mental associations between physical size and vertical locations by investigating mapping (compatibility) effects between stimulus size and response location in a choice-response task with human participants. The background, methods, and results of our experiments have been described in a manuscript entitled "Associations between physical stimulus size and vertical response locations: Small goes down and large goes up", authored by Peter Wühr and Oliver Lindemann. We have submitted this manuscript for publication in April 2025. Until the manuscript has been published, a copy (preprint) of the manuscript can be obtained from the first author upon request to peter.wuehr@tu-dortmund.de. Here is the abstract from our manuscript: This study investigates the existence and direction of associations between physical stimulus size and vertical response locations. In Experiment 1 participants responded to stimulus size by pressing one of two vertically arranged keys. We orthogonally manipulated the mappings between stimulus size and response-key locations, and between hands and response keys. The results showed a novel compatibility effect between physical stimulus size and vertical response location: Responses to the small stimulus were faster at the lower than at the higher location, whereas responses to the large stimulus were faster at the higher than at the lower location. In Experiment 2 we replicated this compatibility effect in vocal responses, when participants responded to stimulus size by saying location words. In combination with previous findings, the present results suggest that the physical size of visual objects is not only associated with horizontal locations, but also with vertical locations. These associations presumably reflect learned correlations between the size of objects and their extension in both the horizontal and the vertical direction. Moreover, the observation of size-space compatibility effects in vocal responses may indicate that they do not only reflect sensorimotor experiences, but also semantic knowledge, which is expressed in linguistic metaphors.
DOI: 10.17632/bsvj6x9fhh
title: Sentiment Analysis Dataset: User Reviews of New & Refurbished iPads on Amazon

description: The dataset consists of 13,862 customer reviews across 224 models of new and Refurbished iPads, which were extracted from Amazon using the Selenium WebDriver in a Java environment.