cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2673124.08fu
title: SH2673124.08FU

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/sh2673125.08fu
title: SH2673125.08FU

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/sh1982620.08fu
title: SH1982620.08FU

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/sh1982621.08fu
title: SH1982621.08FU

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/sh2673126.08fu
title: SH2673126.08FU

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/sh2673127.08fu
title: SH2673127.08FU

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/sh1982622.08fu
title: SH1982622.08FU

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/sh1982623.08fu
title: SH1982623.08FU

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/sh2673128.08fu
title: SH2673128.08FU

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/sh2673129.08fu
title: SH2673129.08FU

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: 10.48370/ofd/po0gxg/2uxtkw
title: 934_FCH7L2KCCX2_L6_BISvveXAABPAAA-61_marked_duplicates_NmMdAndUqTag_fixed.vcf.gz-1.tbi

description: :unav
DOI: 10.48370/ofd/po0gxg/3mgf9z
title: 505_FCH7L2KCCX2_L6_BISvveXAACNAAA-111_marked_duplicates_NmMdAndUqTag_fixed.vcf.gz.tbi

description: :unav
DOI: 10.48370/ofd/po0gxg/gyxeeu
title: 303_FCH7L2KCCX2_L7_BISvveXAADDAAA-46_marked_duplicates_NmMdAndUqTag_fixed.vcf-1.gz

description: :unav
DOI: 10.48370/ofd/po0gxg/lersi7
title: 1188_FCH7L2KCCX2_L5_BISvveXAAAHAAA-79_marked_duplicates_NmMdAndUqTag_fixed.vcf-1.gz

description: :unav
DOI: 10.25345/c5nc5sp9x
title: MassIVE MSV000093881 - Proteomics Analysis of aneuploid cells
title: Cells were cultured as described above and synchronized in G2/M phase by incubating them for 24 hours with 2mM thymidine and, subsequently, for 12 hours with STLC 10uM. From each culture, 106 cells were collected by mitotic shake off, centrifuged and pellets were washed twice with PBS. Cells were lysed in 200 ul lysis buffer (2% sodium deoxycholate (SDC), 0.1 M ammoniumbicarbonate) using strong ultra-sonication (two cycles of sonication S3 for 10 seconds, Hielscher Ultrasonicator). Protein concentration was determined by BCA assay (Thermo Fisher Scientific) using a small sample aliquot. 50ug of proteins were digested as described previously (Ahrne et al., 2016), reduced with 5 mM TCEP for 15 min at 95 C and alkylated with 10 mM iodoacetamide for 30 min in the dark at 25 C. After diluting samples with 100 mM ammonium bicarbonate buffer to a final DOC concentration of 1%, proteins were digested by incubation with sequencing-grade modified trypsin (1/50, w/w; Promega, Madison, Wisconsin) overnight at 37C. Then, the samples were acidified with 2 M HCl to a final concentration of 50 mM, incubated for 15 min at 37 C and the precipitated detergent removed by centrifugation at 10,000xg for 15 min. Subsequently, peptides were desalted on C18 reversed-phase spin columns according to the manufacturers instructions (Microspin, Harvard Apparatus) and dried under vacuum. The dried peptide samples were subsequently labeled with isobaric tags (TMT 10plex, Thermo Fisher Scientific) according to the manufacturers instructions. To control for ratio distortion during quantification, a peptide calibration mixture consisting of six digested standard proteins mixed in different amounts was added to each sample before TMT labeling as recently described (Ahrne et al., 2016). After pooling the TMT labeled peptide samples, peptides were again desalted on C18 reversed-phase spin columns according to the manufacturers instructions (Macrospin, Harvard Apparatus) and dried under vacuum. TMT-labeled peptides were fractionated by high-pH reversed phase separation using a XBridge Peptide BEH C18 column (3,5 um, 130 A, 1 mm x 150 mm, Waters) on an Agilent 1260 Infinity HPLC system. Peptides were loaded onto the column in buffer A (ammonium formate (20 mM, pH 10) in water) and eluted using a two-step linear gradient starting from 2% to 10% in 5 minutes and then to 50% (v/v) buffer B (90% acetonitrile / 10% ammonium formate (20 mM, pH 10) over 55 minutes at a flow rate of 42 ul/min. Elution of peptides was monitored with a UV detector (215 nm, 254 nm). A total of 36 fractions were collected, pooled into 12 fractions using a post-concatenation strategy as previously described (Wang et al., 2011), dried under vacuum and subjected to LC-MS/MS analysis.
DOI: 10.6084/m9.figshare.24988959
title: Dataset

description: The dataset comprises data from two cities, intended for evaluating the pretraining and transfer-learning capabilities of the GitHub repository stark-t/UncertaintySlumDetection (github.com). Each city's dataset consists of three key components: the Sentinel-2 RGB image, resampled to a 3m ground sample distance (GSD), along with urban and background masks, and the slum reference mask
DOI: 10.34740/kaggle/dsv/7423587
title: US counties COVID 19 dataset
DOI: 10.34740/kaggle/dsv/7423605
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.21227/xvfj-5q41
title: Gendered Discourse in the Digital Realm: Exploring Gender-Based Communication Patterns through 48 Linguistic Characteristics in Online Communication

description: The dataset explores the linguistic characteristics of Ukrainian online community members on "Lviv. Forum Ridne City" (https://misto.ridne.net/) based on gender (female/male). It includes vectors of male and female profiles, along with 36 control vectors for 18 women's profiles and 18 men's profiles. The dataset includes 48 linguistic characteristics of gender in online communication. The linguistic features analyzed encompass a wide range, including apology, modal designs, emotions, profanity, sports and politics references, and more. The dataset aims to provide insights into the diverse linguistic patterns exhibited by online community members, shedding light on communication nuances influenced by gender within the specified Ukrainian forum.
DOI: 10.5281/zenodo.10525182
title: Rapid QC-MS demonstration materials

description: This dataset can be used in conjunction with Metabolomics Workbench study ST002263 (http://dx.doi.org/10.21228/M8Z119) as example data for Rapid QC-MS.  Rapid QC-MS is a freely available software tool capable of automatically assessing LC-MS/MS data quality using Internal Standards, External Standards and Reference Standards.  See https://github.com/czbiohub-sf/Rapid-QC-MS to download Rapid QC-MS
DOI: 10.5281/zenodo.10525183
title: Rapid QC-MS demonstration materials

description: This dataset can be used in conjunction with Metabolomics Workbench study ST002263 (http://dx.doi.org/10.21228/M8Z119) as example data for Rapid QC-MS.  Rapid QC-MS is a freely available software tool capable of automatically assessing LC-MS/MS data quality using Internal Standards, External Standards and Reference Standards.  See https://github.com/czbiohub-sf/Rapid-QC-MS to download Rapid QC-MS
DOI: 10.5281/zenodo.10524863
title: Tunning of the variables (boild-up rate, heating power, reflux ratio, and separation efficiency) is exemplified for the classical non-ideal mixture of ethanol and water

description: Preliminary work with the distillation collumn UOP3 of Armfield Ltd for the separation of the non-ideal mixture of ethanol and water.

Tunning of the variables (boild-up rate, heating power, reflux ratio) to enhance the separation efficiency.

Similar procedure should be applied for the direct isolation of ammonium bicarbonate for the tradiational batch distillation setup.
DOI: 10.5281/zenodo.10524862
title: Tunning of the variables (boil-up rate, heating power, reflux ratio, and separation efficiency) is exemplified for the classical non-ideal mixture of ethanol and water

description: Preliminary work with the distillation collumn UOP3 of Armfield Ltd for the separation of the non-ideal mixture of ethanol and water.

Tunning of the variables (boild-up rate, heating power, reflux ratio) to enhance the separation efficiency.

Similar procedure should be applied for the direct isolation of ammonium bicarbonate for the tradiational batch distillation setup.
DOI: 10.5281/zenodo.10525154
title: Tunning of the variables (boil-up rate, heating power, reflux ratio, and separation efficiency) is exemplified for the classical non-ideal mixture of ethanol and water

description: Preliminary work with the distillation collumn UOP3 of Armfield Ltd for the separation of the non-ideal mixture of ethanol and water.

Tunning of the variables (boild-up rate, heating power, reflux ratio) to enhance the separation efficiency.

Similar procedure should be applied for the direct isolation of ammonium bicarbonate for the tradiational batch distillation setup.
DOI: 10.34740/kaggle/dsv/7423645
title: Data Scientist - Linkedin Job Postings
DOI: 10.34740/kaggle/dsv/7423650
title: Data Analyst Job Postings
DOI: 10.34740/kaggle/dsv/7423651
title: UFC Fighters' Statistics Dataset
DOI: 10.6084/m9.figshare.25016441
title: Etnocentrismo: datos de investigación

description: El presente set de datos es resultado de una investigación que caracterizó la producción científica mundial sobre etnocentrismo, y describió la evolución de sus líneas de investigación durante los últimos 80 años.
DOI: 10.6084/m9.figshare.25016441.v1
title: Etnocentrismo: datos de investigación

description: El presente set de datos es resultado de una investigación que caracterizó la producción científica mundial sobre etnocentrismo, y describió la evolución de sus líneas de investigación durante los últimos 80 años.
DOI: 10.5281/zenodo.10525282
title: Data in all figures for SOTspinLED Nature publication
DOI: 10.5281/zenodo.10525283
title: Data in all figures for SOTspinLED Nature publication
DOI: 10.5281/zenodo.10525308
title: Topological quantum phase transitions in 2D isometric tensor networks

description: Codes used for Topological quantum phase transitions in 2D isometric tensor networks.
DOI: 10.5281/zenodo.10525309
title: Topological quantum phase transitions in 2D isometric tensor networks

description: Codes used for Topological quantum phase transitions in 2D isometric tensor networks.
DOI: 10.6084/m9.figshare.24948162
title: European biotic seed dispersal network

description: Qualitative incidence matrix noting pairwise interactions between native European plant species with biotic seed dispersal syndromes (endozoochorous, epizoochorous, myrmecochorous, vertebrate hoarding) and their known seed dispersers (birds, arthropods, mammals, reptiles, molluscs, fish, and annelids). The matrix contains 5090 interactions between 594 plant species (rows) and 398 disperser species (columns), and was compiled by extracting published interactions from 1843 references in 27 European languages. Taxonomy has been harmonized according to the World Checklist of Vascular Plants, the Birds of the World database, and the Global Biodiversity Information Facility backbone taxonomy (respectively for plants, bird, and other animal species). The full manuscript describing the dataset is under review.
DOI: 10.6084/m9.figshare.24948162.v1
title: European biotic seed dispersal network

description: Qualitative incidence matrix noting pairwise interactions between native European plant species with biotic seed dispersal syndromes (endozoochorous, epizoochorous, myrmecochorous, vertebrate hoarding) and their known seed dispersers (birds, arthropods, mammals, reptiles, molluscs, fish, and annelids). The matrix contains 5090 interactions between 594 plant species (rows) and 398 disperser species (columns), and was compiled by extracting published interactions from 1843 references in 27 European languages. Taxonomy has been harmonized according to the World Checklist of Vascular Plants, the Birds of the World database, and the Global Biodiversity Information Facility backbone taxonomy (respectively for plants, bird, and other animal species). The full manuscript describing the dataset is under review.
DOI: 10.34740/kaggle/dsv/7423769
title: crypto-data-daily-updates
DOI: 10.5281/zenodo.10525171
title: OBCMI 2022 Cohort

description: Data set of pregnant patients and parametrs for severe maternal morbidity and OBCMI
DOI: 10.5281/zenodo.10525172
title: OBCMI 2022 Cohort

description: Data set of pregnant patients and parametrs for severe maternal morbidity and OBCMI
DOI: 10.5281/zenodo.8270683
title: Data from Extreme high-elevation surveys of Andean mice

description: High-elevation mammal surveys across the Andean Cordillera and surrounding regions. Molecular sequence and low-coverage whole-genome sequencing data to confirm species identities.
DOI: 10.5281/zenodo.8270684
title: Data from Extreme high-elevation surveys of Andean mice

description: High-elevation mammal surveys across the Andean Cordillera and surrounding regions. Molecular sequence and low-coverage whole-genome sequencing data to confirm species identities.
DOI: 10.6084/m9.figshare.25016432.v1
title: <b>Fruiting phenology data for 4,462 spontaneous and cultivated plant taxa in Portugal (1926</b> <b>– 2013)</b>

description: Here we provide information on the exact day and site where seeds of 4,462 taxa were collected for the <i>Index Seminum</i> (seed exchange catalogue) of the Botanic Garden of the University of Coimbra, between 1926 and 2013. Seeds were collected from spontaneous and cultivated individuals across Portugal, including both native and introduced taxa. The database consists of 127,747 curated records with information on the species, or infraspecific taxa (including authority), and the day and site where seeds were collected. All records are georeferenced and provided with a confidence interval for the collection site. Taxonomy was first curated manually by in-house botanists and then harmonized according to the GBIF backbone taxonomy.
DOI: 10.21966/99mg-0s52
title: Juvenile salmon migration observations in the Discovery Islands and Johnstone Strait in British Columbia, Canada in 2018