cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5k06xd6h
title: MassIVE MSV000099475 - Molecular insights into DDX3X AR mRNA regulation via non canonical G quadruplex in castration resistant prostate cancer
title: Prostate cancer (PC) is one of the most common malignancies in men, and the emergence of AR low/negative castration resistant PC following androgen receptor signaling inhibitor (ARSI) therapy remains a critical clinical challenge. The RNA binding protein DEAD box helicase 3 X linked (DDX3X) has been implicated in the translational regulation of androgen receptor (AR) mRNA; however, the underlying binding mechanisms are not well defined. Here, we show that DDX3X colocalizes with AR mRNA in cells and selectively recognizes non canonical RNA G quadruplex (rG4) motifs within the sequence of AR mRNA. RNA immunoprecipitation sequencing (RIP seq) revealed enrichment of DDX3X AR mRNA interactions in cells. Fluorescence imaging confirmed the colocalization of DDX3X and AR mRNA within cytoplasmic granules, and biochemical assays confirmed the ability of selected AR mRNA fragments to form rG4 structures bound by DDX3X. Proteomic profiling of DDX3X Ras GTPase activating protein binding protein 1 (G3BP1) complexes identified several RNA binding proteins, including IGF2BP1, PUM2, and UBAP2, which may act as candidate cofactors. Together, these findings shed light on the interaction between AR mRNA and DDX3X and identify putative protein partners, offering insights into future therapeutic strategies.
DOI: 10.15468/dl.36g2c6
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paramecera xicaque rubrosuffusa",
 "Year 1965-2015"
 ]
}

 The dataset includes 266 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016408-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tyqda
title: Occurrence Download

description: A dataset containing 3898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bassariscus astutus"
 ]
}

 The dataset includes 3898 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016407-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k7uyn9
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oldenlandia pumila",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016410-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3wbj4
title: Occurrence Download

description: A dataset containing 49422 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinapis alba"
 ]
}

 The dataset includes 49422 records from 814 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016405-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8at36p
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oldenlandia pumila",
 "Country is Singapore",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016409-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uw5t38
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudofoveata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-150 -80,-140 -80,-140 -70,-150 -70,-150 -80))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016411-251009101135966/datasets/export for details.
DOI: 10.15468/dl.k2a886
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Insecta",
 "OccurrenceStatus is Present",
 "DecimalLatitude is less than or equal to 0.01",
 "DecimalLongitude is less than or equal to -59.99",
 "DecimalLatitude is greater than or equal to -0.01",
 "DecimalLongitude is greater than or equal to -60.01"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016412-251009101135966/datasets/export for details.
DOI: 10.15468/dl.3sy93x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudofoveata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-160 -80,-150 -80,-150 -70,-160 -70,-160 -80))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016413-251009101135966/datasets/export for details.
DOI: 10.15468/dl.4f6vuy
title: Occurrence Download

description: A dataset containing 13038 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pterospora andromedea)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13038 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016414-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1397929.10fu
title: SH1397929.10FU

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/sh1397934.10fu
title: SH1397934.10FU

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/sh1397935.10fu
title: SH1397935.10FU

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/sh1397936.10fu
title: SH1397936.10FU

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/sh1397937.10fu
title: SH1397937.10FU

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/sh1397938.10fu
title: SH1397938.10FU

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/sh1397939.10fu
title: SH1397939.10FU

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/sh1397940.10fu
title: SH1397940.10FU

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: 10.3535/sv3-eyw-wl4
title: Eragrostis multicaulis Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lk8-p86-519
title: Carex leporina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rb0-7xv-5v2
title: Geum rivale L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x9t-4wv-gx4
title: Rhynchospora alba (L.) Vahl

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4al-9zl-jm3
title: Valerianella locusta (L.) Laterr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nea-97z-3zl
title: Arabidopsis arenosa (L.) Lawalrée

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wlh-y1e-9fp
title: Microthlaspi perfoliatum (L.) F. K. Mey.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/agm-qwm-3df
title: Delphinium consolida subsp. consolida

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jgl-dpw-pgp
title: Onosma L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ant-eza-9fq
title: Thymus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7rs-7cw-cgc
title: Carex pallescens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kkw-75t-pj6
title: Carex hirta L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/98z-bw5-0jw
title: Stellaria L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bwd-w9w-nnt
title: Carex acutiformis Ehrh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.w5g9hs
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 (Notophthalmus perstriatus)",
 "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/0073782-250717081556266/datasets/export for details.
DOI: 10.3535/19v-j4y-949
title: Camelina microcarpa Andrz. ex DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qle-mq8-5zk
title: Asyneuma limonifolium (L.) Janch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.14561886
title: MALDI TOF MS data - multiple myeloma

description: This dataset contains input data used for the analysis in the R script "End-to-End Workflows for Liquid Biopsy Biotyping Analysis Using Combined MALDI MS and Machine Learning Approach" available on GitHub (https://github.com/Lukaspecinka/MALDI---Liquid-Biopsy-Biotyping-Analysis.git).

The dataset complements the article "Improved Screening of Monoclonal Gammopathy Patients by MALDI-TOF Mass Spectrometry" (https://doi.org/10.1021/jasms.3c00166) and "Liquid biopsy of peripheral blood using mass spectrometry detects primary extramedullary disease in multiple myeloma patients" (http://dx.doi.org/10.1038/s41598-024-69408-1).

The dataset includes: 200 raw mass spectra of 20 patients with multiple myeloma and 20 healthy donors

The dataset can be used to reproduce the results of the study or as a benchmark for testing machine learning algorithms for MALDI MS data.

This dataset is licensed under CC-BY 4.0. Users must credit the original authors when using the data

Data were collected using MALDI-7090™ MALDI TOF-TOF mass spectrometer (Shimadzu, Japan).
DOI: 10.5281/zenodo.14561887
title: MALDI TOF MS data - multiple myeloma

description: This dataset contains input data used for the analysis in the R script "End-to-End Workflows for Liquid Biopsy Biotyping Analysis Using Combined MALDI MS and Machine Learning Approach" available on GitHub (https://github.com/Lukaspecinka/MALDI---Liquid-Biopsy-Biotyping-Analysis.git).

The dataset complements the article "Improved Screening of Monoclonal Gammopathy Patients by MALDI-TOF Mass Spectrometry" (https://doi.org/10.1021/jasms.3c00166) and "Liquid biopsy of peripheral blood using mass spectrometry detects primary extramedullary disease in multiple myeloma patients" (http://dx.doi.org/10.1038/s41598-024-69408-1).

The dataset includes: 200 raw mass spectra of 20 patients with multiple myeloma and 20 healthy donors

The dataset can be used to reproduce the results of the study or as a benchmark for testing machine learning algorithms for MALDI MS data.

This dataset is licensed under CC-BY 4.0. Users must credit the original authors when using the data

Data were collected using MALDI-7090™ MALDI TOF-TOF mass spectrometer (Shimadzu, Japan).
DOI: 10.3535/d6t-far-7vt
title: Aethionema saxatile (L.) W. T. Aiton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kal-ged-28c
title: Bituminaria bituminosa (L.) C.H.Stirt.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/meb-jj4-ne6
title: Vicia L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vgn-g6p-wjf
title: Cerastium carinthiacum Vest

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dkg-rw5-y0h
title: Rosa canina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g9h-7rv-0mj
title: Rosa canina L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hmc-mxe-4dj
title: Chaerophyllum hirsutum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/m9w-g8e-3bp
title: Trifolium pratense L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mev-5lv-t58
title: Silene vulgaris (Moench) Garcke

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/582-pwa-r81
title: Geranium pusillum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ce0-v5f-hw6
title: Carex melanostachya M.Bieb. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/r38-rr9-jre
title: Arabis ciliata W. T. Aiton

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bkx-yq5-80r
title: Lagurus ovatus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ehf-mvv-hqp
title: Carex flacca Schreb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jzy-gq4-myf
title: Carex praecox Schreb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/svf-pz6-kfy
title: Ranunculus polyanthemos L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/13e-h2c-rsz
title: Campanula alpina Jacq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rtl-x5l-q51
title: Scleranthus perennis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4dk-354-015
title: Moehringia muscosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.