cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1579228.08fu
title: SH1579228.08FU

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/sh1372588.08fu
title: SH1372588.08FU

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/sh1372589.08fu
title: SH1372589.08FU

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/sh1579229.08fu
title: SH1579229.08FU

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/sh1579230.08fu
title: SH1579230.08FU

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: 10.25549/one-c4-36756
title: Morris C., and Robert P., letters (1959/1965)

description: Morris C. and Robert P., forms, letters (1959-1965)
DOI: 10.15156/bio/sh1372590.08fu
title: SH1372590.08FU

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/sh1372591.08fu
title: SH1372591.08FU

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/sh1372592.08fu
title: SH1372592.08FU

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/sh1579231.08fu
title: SH1579231.08FU

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: 10.17632/2wyy83z48d.2
title: PRJ1708-RMC_14maio2020

description: dataset for ND in ADHD by SGA analysis
DOI: 10.17632/bn89h9kkn3.1
title: Supplemmentary Data Set for Color Doppler Ultrasound Evaluation of Management of Papulopustular Rosacea

description: Supplementary Data Set for Color Doppler Ultrasound Evaluation of Management of Papulopustular Rosacea, an article of the Journal of the American Academy of Dermatology 2020
DOI: 10.5281/zenodo.3876379
title: FucoSan: Extraction of fucoidans from different brown algae species using different methods and their chemical and biological characterization

description: This is a dataset extracted from the database of the Interreg project “FucoSan – Health from the sea” which includes information on the used algae species, the extraction of fucoidans as well as their chemical and pharmacological characterization. Macroalgae represent a vast source of renewable raw materials for research, development and application. An example of current high interest are fucoidans from brown algae. These fucose-containing sulfated polysaccharides exhibit a multitude of bioactivities offering attractive options for applications in medicine and cosmetics. The composition and chemical structure of fucoidans and thus their bioactivities may, however, largely vary depending on the algae species, extraction procedure and many other factors. Therefore, much research is still needed in the range from the algal source up to the targeted development of fucoidans optimized for respective applications. Since 2017, this is the topic of the Danish-German project Interreg project “FucoSan – health from the Sea” involving 11 partners with different expertise. Here, the current state of the fucoidan series produced and explored within the project is presented including information on the used algae species and batches, the extraction, purification and fractionation of the fucoidans as well as their chemical and pharmacological characterization. Based on their basic pharmacological activities, fucoidans are then selected and further tested in advanced experiments for specific applications in medicine and cosmetics.
description: https://www.fucosan.eu Funding reference: FucoSan is funded by Interreg Deutschland-Danmark with means from the European Regional Development Fund.
DOI: 10.5281/zenodo.3876378
title: FucoSan: Extraction of fucoidans from different brown algae species using different methods and their chemical and biological characterization

description: This is a dataset extracted from the database of the Interreg project “FucoSan – Health from the sea” which includes information on the used algae species, the extraction of fucoidans as well as their chemical and pharmacological characterization. Macroalgae represent a vast source of renewable raw materials for research, development and application. An example of current high interest are fucoidans from brown algae. These fucose-containing sulfated polysaccharides exhibit a multitude of bioactivities offering attractive options for applications in medicine and cosmetics. The composition and chemical structure of fucoidans and thus their bioactivities may, however, largely vary depending on the algae species, extraction procedure and many other factors. Therefore, much research is still needed in the range from the algal source up to the targeted development of fucoidans optimized for respective applications. Since 2017, this is the topic of the Danish-German project Interreg project “FucoSan – health from the Sea” involving 11 partners with different expertise. Here, the current state of the fucoidan series produced and explored within the project is presented including information on the used algae species and batches, the extraction, purification and fractionation of the fucoidans as well as their chemical and pharmacological characterization. Based on their basic pharmacological activities, fucoidans are then selected and further tested in advanced experiments for specific applications in medicine and cosmetics.
description: https://www.fucosan.eu Funding reference: FucoSan is funded by Interreg Deutschland-Danmark with means from the European Regional Development Fund.
DOI: 10.17632/df7g3jt45t.1
title: Integrated transcriptome analysis identifies super-regulators miRNAs and SNP-mediated allelic imbalance in pro-inflammatory macrophages.
DOI: 10.17632/frphr2kknj.1
title: Essential data for reproducing figures and tables in “Diurnal observation and correction for spontaneous potential gradient measurement”

description: We selected two locations at 38 degrees north latitude and 45 degrees north latitude in China to conduct diurnal observation and correction surveys for spontaneous potential gradient measurement. In both study areas, the geoelectric diurnal data were processed with the following steps: (1) contrast correction, (2) background value correction, and (3) the calculation of diurnal norm and phase angle. At 45 degrees north, the geomagnetic diurnal data were processed with (1) background value correction only. The geomagnetic diurnal data were plotted together with simultaneously observed geoelectric diurnal data for analysis. Spontaneous potential gradient data were processed with the following steps: (1) contrast correction, (2) conversion to spontaneous potential, and (3) diurnal correction using the equations derived in the paper. After processing with the above methods, spontaneous potential contour maps for the entire study area can be obtained by interpolating the spontaneous potential data (before and after diurnal corrections) along all measuring lines on regularly spaced grids.
DOI: 10.17632/t2tr35ww4c.2
title: Dataset Evaluation in Serious Games

description: Dataset to evaluate serious games The process has the following phases: Selecting the sample Defining users Define the scenario List the barriers Evaluate manually Record the data Analyze the data
DOI: 10.17632/76dw6j38vy.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0408T section 1 & 2)

description: Prostate transcriptome data
DOI: 10.17632/t2jmtk9p4g.1
title: The safety and efficacy of high-speed transport for critical children

description: High-quality tertiary medical centers are usually located in megacities. Thosecities usually happen to be the center of the HSTnetwork. HST transport network for critical children could be established to cover most regions of the country. Without increasing financial burden, HST medical transport can be a potentiallypromising option to improve the outcomes of critical children in developing countries or the countries with developed HST network.
DOI: 10.17632/y6f29yv4x5.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0542T section 1)

description: Prostate transcriptome data
DOI: 10.17632/8xn6cb59gx.1
title: Structures of human antibodies bound to SARS-CoV-2 spike reveal common epitopes and recurrent features of antibodies. Barnes, et al. GISAID Acknowledgment

description: Table S4. List of GISAID accession IDs, virus names, originating labs, submitting labs, and authors(related to Figure 6). We gratefully acknowledge all labs and authors formaking SARS-CoV-2 genome sequence data available for this research.
DOI: 10.17632/rr2bt6twrb.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample PR079T section 2-2)

description: Prostate transcriptome data
DOI: 10.17632/x452gk5ghx.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0542T section 3-4)

description: Prostate transcriptome data
DOI: 10.17632/xz2nkxzp24.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0542T section 2 & 3-1)

description: Prostate transcriptome data
DOI: 10.17632/8n5ptb7djh.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 996837T)

description: Prostate transcriptome data
DOI: 10.17632/mzx7dscnbm.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 9916947T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/c29yb62cd8.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 982644T)

description: Prostate transcriptome data
DOI: 10.17632/fttj9mcw2h.3
title: Resettled laborers in the Inka empire: A comparative study

description: This is a comparative study of the household economies of resettled laborers working for the state and the nobility (called mitmaqkuna and yanakuna, respectively) from the South American Inka empire (circa 1400-1530s). Hu's research at Yanawilka in the Vilcas Huaman province and Quave's research at Cheqoq in Maras, Cusco lend insight into the daily lives, wealth, and acculturation of marginalized populations within the Inka imperial domain.
DOI: 10.17632/z7kch2jp5r.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0542T section 3-3)

description: Prostate transcriptome data
DOI: 10.17632/dnf2tkmztg.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0542T section 3-5)

description: Prostate transcriptome data
DOI: 10.17632/v885w2mtzy.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D019 section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/dhjjd7tyvs.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0542T section 3-2)

description: Prostate transcriptome data
DOI: 10.17632/c39t6v39rv.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D020)

description: Prostate transcriptome data
DOI: 10.17632/gp94cxymzm.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D015 section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/b592wsvxw4.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D019 section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/npb7hmcxp2.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 997504T)

description: Prostate transcriptome data
DOI: 10.17632/jc6d2vss89.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 998629T)

description: Prostate transcriptome data
DOI: 10.17632/z5kmtyh855.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample TP08S0542T section 3-6)

description: Prostate transcriptome data
DOI: 10.17632/2r7zz94n2z.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 9825313T section 1)

description: Prostate transcriptome data
DOI: 10.17632/h96xrx9vx2.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D025 section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/xfmth6kr42.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample 9916947T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/jnnfnbhjrr.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D005)

description: Prostate transcriptome data
DOI: 10.17632/5r2x6yyc5k.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB120AT)

description: Prostate transcriptome data
DOI: 10.17632/dsg55p75pr.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D006)

description: Prostate transcriptome data
DOI: 10.17632/jx734rx8pv.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D025 section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/2f5jdppr26.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D018)

description: Prostate transcriptome data
DOI: 10.17632/y588hmxx93.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample D015 section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/hv5z5xvnj7.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB238AT)

description: Prostate transcriptome data
DOI: 10.17632/yrmwzntz8h.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB94T section 1-1)

description: Prostate transcriptome data
DOI: 10.17632/nwpjxnczjs.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample DB237T)

description: Prostate transcriptome data
DOI: 10.17632/327mwms9n2.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB94T section 1-2)

description: Prostate transcriptome data
DOI: 10.17632/tfkvh8xkr3.5
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample FB238T)

description: Prostate transcriptome data
DOI: 10.17632/xs2sphbtz6.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB46T)

description: Prostate transcriptome data
DOI: 10.17632/yrg9jpz3p7.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB305AT)

description: Prostate transcriptome data
DOI: 10.17632/2z6z94p8xb.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB207AT)

description: Prostate transcriptome data
DOI: 10.17632/kbhyndxvnc.4
title: Pten-NOLC1 Fusion Promotes C-MET and EGFR Signaling in Human Cancers (RNAseq Sample HB033T)

description: Prostate transcriptome data