cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0188823.10fu
title: SH0188823.10FU

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/sh0188824.10fu
title: SH0188824.10FU

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/sh0188825.10fu
title: SH0188825.10FU

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: 10.15468/dl.gfqeyx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.475054 -32.69712, 148.475054 -32.699365, 148.468317 -32.699365, 148.468317 -32.701611, 148.472809 -32.701611, 148.472809 -32.703857, 148.4773 -32.703857, 148.4773 -32.69712, 148.475054 -32.69712))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067413-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26683993
title: Additional file 2 of Prognosis and biological function of SGOL1 in clear cell renal cell carcinoma: a multiomics analysis

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.26683993.v1
title: Additional file 2 of Prognosis and biological function of SGOL1 in clear cell renal cell carcinoma: a multiomics analysis

description: Supplementary material 2.
DOI: 10.6084/m9.figshare.26683996
title: Additional file 3 of Prognosis and biological function of SGOL1 in clear cell renal cell carcinoma: a multiomics analysis

description: Supplementary material 3.
DOI: 10.6084/m9.figshare.26683996.v1
title: Additional file 3 of Prognosis and biological function of SGOL1 in clear cell renal cell carcinoma: a multiomics analysis

description: Supplementary material 3.
DOI: 10.6084/m9.figshare.26683999
title: Additional file 4 of Prognosis and biological function of SGOL1 in clear cell renal cell carcinoma: a multiomics analysis

description: Supplementary material 4.
DOI: 10.6084/m9.figshare.26683999.v1
title: Additional file 4 of Prognosis and biological function of SGOL1 in clear cell renal cell carcinoma: a multiomics analysis

description: Supplementary material 4.
DOI: 10.15468/dl.dxbgyd
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myomimus roachi (Bate, 1937)"
 ]
}

 The dataset includes 24 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067414-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12596492
title: Data for "Africa's Climate Response to Marine Cloud Brightening Strategies is Highly Sensitive to Deployment Region"

description: Community Earth System Model 2 simulation data with marine cloud brightening perturbations used to compute climate impact metrics in "Africa's Climate Response to Marine Cloud Brightening Strategies is Highly Sensitive to Deployment Region" by Romaric C. Odoulami, Haruki Hirasawa, Kouakou Kouadio, Trisha D. Patel, Kwesi A. Quagraine, Izidine Pinto, Temitope S. Egbebiyi, Babatunde J. Abiodun, Christopher Lennard, and Mark G. New. Simulation descriptions can be found in Hirasawa et al., 2023 Geophysical Research Letters doi.org/10.1029/2023GL104314.
DOI: 10.15468/dl.3bc3pp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.980359 -32.699365, 148.980359 -32.706103, 148.982605 -32.706103, 148.982605 -32.699365, 148.980359 -32.699365))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067415-240626123714530/datasets/export for details.
DOI: 10.15468/dl.dgudva
title: Occurrence Download

description: A dataset containing 4050 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-60.46088 7.82787,-69.90988 7.27855,-79.58825 -3.1873,-71.74722 -15.15011,-70.69053 -19.95608,-68.04385 -26.57564,-48.78846 -18.92942,-43.09621 -3.40254,-60.46088 7.82787))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hydrochoerus hydrochaeris (Linnaeus, 1766)",
 "Year 2001-2024"
 ]
}

 The dataset includes 4050 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067416-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26684139
title: Additional file 1 of Rapid systematic review on risks and outcomes of sepsis: the influence of risk factors associated with health inequalities

description: Additional file 1: Table 1. Findings of studies assessing the impact of factors of health inequality on sepsis incidence or risk. Table 2. Findings of studies assessing the impact of factors of health inequality on sepsis mortality and other outcomes.
DOI: 10.6084/m9.figshare.26684139.v1
title: Additional file 1 of Rapid systematic review on risks and outcomes of sepsis: the influence of risk factors associated with health inequalities

description: Additional file 1: Table 1. Findings of studies assessing the impact of factors of health inequality on sepsis incidence or risk. Table 2. Findings of studies assessing the impact of factors of health inequality on sepsis mortality and other outcomes.
DOI: 10.6084/m9.figshare.26684172.v1
title: Additional file 1 of Super enhancer related gene ANP32B promotes the proliferation of acute myeloid leukemia by enhancing MYC through histone acetylation

description: Additional file 1. Figure S1. Western blotting analysis showed that ANP32B protein levels were downregulated in MV4-11 and Kasumi-1 cells after BRD4 knockdown. Figure S2. The knockdown level of ANP32B in MV4-11 and Kasumi-1 cells was verified by qPCR. Figure S3. The knockdown of ANP32B inhibited the growth of MV4-11 cells. A. Monitoring of body weight of the two groups of mice. B. Representative images of H&E staining analysis of liver in two groups of mice. C. Representative images of IHC staining of mice liver. Figure S4. The knockdown of ANP32B inhibited the growth of Kasumi-1 cells. A. Different size and weight of spleen, from sh-NC or sh-ANP32B mices. B. Representative images of IHC staining of mice spleen. Figure S5. IGV visual analysis showed a reduction in H3K27ac signaling in genes involved in the MYC signaling pathway. Figure S6. ANP32B is positively correlated with C-MYC expression. A. Western blotting analysis showed that ANP32B overexpression was established successfully. B. Western blotting analysis showed that ANP32B was positively correlated with C-MYC expression. Table S1. The primer sequences used in this study. Table S2. Super-enhancers identified in each of the 11 AML samples. Table S3. Deferentially expressed genes identified by RNA-Seq of MV4-11 cell after ANP32B knockdown. Table S4. Deferentially expressed genes identified by RNA-Seq of Kasumi-1 cell after ANP32B knockdown. Table S5. In the control group, peaks called by ChIP-Seq of H3K27ac in MV4-11 cell. Table S6. In the ANP32B knockdown group, peaks called by ChIP-Seq of H3K27ac in MV4-11 cell.
DOI: 10.6084/m9.figshare.26684172
title: Additional file 1 of Super enhancer related gene ANP32B promotes the proliferation of acute myeloid leukemia by enhancing MYC through histone acetylation

description: Additional file 1. Figure S1. Western blotting analysis showed that ANP32B protein levels were downregulated in MV4-11 and Kasumi-1 cells after BRD4 knockdown. Figure S2. The knockdown level of ANP32B in MV4-11 and Kasumi-1 cells was verified by qPCR. Figure S3. The knockdown of ANP32B inhibited the growth of MV4-11 cells. A. Monitoring of body weight of the two groups of mice. B. Representative images of H&E staining analysis of liver in two groups of mice. C. Representative images of IHC staining of mice liver. Figure S4. The knockdown of ANP32B inhibited the growth of Kasumi-1 cells. A. Different size and weight of spleen, from sh-NC or sh-ANP32B mices. B. Representative images of IHC staining of mice spleen. Figure S5. IGV visual analysis showed a reduction in H3K27ac signaling in genes involved in the MYC signaling pathway. Figure S6. ANP32B is positively correlated with C-MYC expression. A. Western blotting analysis showed that ANP32B overexpression was established successfully. B. Western blotting analysis showed that ANP32B was positively correlated with C-MYC expression. Table S1. The primer sequences used in this study. Table S2. Super-enhancers identified in each of the 11 AML samples. Table S3. Deferentially expressed genes identified by RNA-Seq of MV4-11 cell after ANP32B knockdown. Table S4. Deferentially expressed genes identified by RNA-Seq of Kasumi-1 cell after ANP32B knockdown. Table S5. In the control group, peaks called by ChIP-Seq of H3K27ac in MV4-11 cell. Table S6. In the ANP32B knockdown group, peaks called by ChIP-Seq of H3K27ac in MV4-11 cell.
DOI: 10.15468/dl.5g6b3r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.072437 -32.699365, 149.072437 -32.703857, 149.074683 -32.703857, 149.074683 -32.699365, 149.072437 -32.699365))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067417-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26571859.v1
title: Additional file 1 of Precision information extraction for rare disease epidemiology at scale

description: Additional file 1. Supplementary Methods 1 describes two algorithms used in the training and deployment of the epidemiology information extraction model and pipeline. The first algorithm describes in pseudocode how data used for training the BioBERT model was prelabeled in a weakly-supervised fashion. The second algorithm describes a method used to identify rare disease terms in abstracts.
DOI: 10.6084/m9.figshare.26609439
title: Additional file 1 of Online case-based learning in medical education: a scoping review

description: Additional file 1: Supplementary file 1. Summary of included studies.
DOI: 10.6084/m9.figshare.26609439.v1
title: Additional file 1 of Online case-based learning in medical education: a scoping review

description: Additional file 1: Supplementary file 1. Summary of included studies.
DOI: 10.15468/dl.q6ar2h
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-101.92744 21.34615,-101.91661 21.34615,-101.91661 21.35386,-101.92744 21.35386,-101.92744 21.34615))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 57 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067418-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26684217
title: Additional file 1 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 1. ROSES systematic review report.
DOI: 10.6084/m9.figshare.26684223
title: Additional file 3 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 3. Papers excluded after text-mining. Provided further keywords used in text-mining.
DOI: 10.6084/m9.figshare.26684223.v1
title: Additional file 3 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 3. Papers excluded after text-mining. Provided further keywords used in text-mining.
DOI: 10.6084/m9.figshare.26684226
title: Additional file 4 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 4. The results of full-text screening included both excluded and included articles. Separate lists of unobtainable articles and duplicates in full-text screening.
DOI: 10.6084/m9.figshare.26684226.v1
title: Additional file 4 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 4. The results of full-text screening included both excluded and included articles. Separate lists of unobtainable articles and duplicates in full-text screening.
DOI: 10.6084/m9.figshare.26684232
title: Additional file 6 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 6. The results of critical appraisal. Provides the critical assessment criteria and evaluation of each paper.
DOI: 10.6084/m9.figshare.26684241
title: Additional file 9 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 9. Data-extraction sheet. Contains the coding of extracted data for all articles included in both qualitative and quantitative synthesis.
DOI: 10.6084/m9.figshare.26684256
title: Additional file 14 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 14. Consistency check results for all screening stages (title & abstract screening and full-text screening) and critical appraisal.
DOI: 10.6084/m9.figshare.26684259
title: Additional file 15 of Biochar improves the nutrient cycle in sandy-textured soils and increases crop yield: a systematic review

description: Additional file 15. R code. Contains all codes used for meta-analysis, meta-regression and correction for publication bias.
DOI: 10.15468/dl.4k7gk5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.576735 -32.703857, 147.576735 -32.706103, 147.583472 -32.706103, 147.583472 -32.703857, 147.576735 -32.703857))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067419-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26684292
title: Additional file 1 of Computational design of anti-cancer peptides tailored to target specific tumor markers

description: Additional file 1: Table S1. The physiochemical properties of OPG obtained from Protparam. Table S2. Comparison of interactive residues in target receptors identified from prediction software, PDB and literature search. Table S3. Comparison of Interacting residues in ligands identified from prediction software, PDB and literature search. Table S4. Physiochemical properties of the designed peptide library for CXCR1, DcR3 and OPG. Table S5. Comparison of docking energies for different poses of peptides against their target receptors. Table 6. The post-dock interactions analysis of target receptors and their respective peptides. Table S7. Docking results of shortlisted peptides of CXCR1, DcR3 and OPG with their respective homologous proteins.
DOI: 10.6084/m9.figshare.26684292.v1
title: Additional file 1 of Computational design of anti-cancer peptides tailored to target specific tumor markers

description: Additional file 1: Table S1. The physiochemical properties of OPG obtained from Protparam. Table S2. Comparison of interactive residues in target receptors identified from prediction software, PDB and literature search. Table S3. Comparison of Interacting residues in ligands identified from prediction software, PDB and literature search. Table S4. Physiochemical properties of the designed peptide library for CXCR1, DcR3 and OPG. Table S5. Comparison of docking energies for different poses of peptides against their target receptors. Table 6. The post-dock interactions analysis of target receptors and their respective peptides. Table S7. Docking results of shortlisted peptides of CXCR1, DcR3 and OPG with their respective homologous proteins.
DOI: 10.6084/m9.figshare.26684298
title: Additional file 2 of Kinome and phosphoproteome reprogramming underlies the aberrant immune responses in critically ill COVID-19 patients

description: Additional file 2: Table S1. Subject demographic and clinical data. Table S2. Summary of clinical data. Table S3. Summary of cohort demographics. Table S4. A list of samples for TMT labeling and mass spectrometry analysis. Table S5. Mass spectrometer data collection parameters. Table S6. Proteome data used for analysis. Table S7. Phosphoproteome data used for analysis.
DOI: 10.15468/dl.qjcvf3
title: Occurrence Download

description: A dataset containing 352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "TaxonKey is Ligustrum lucidum W.T.Aiton",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 352 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008646-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhq4im
title: Occurrence Download

description: A dataset containing 15872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((41.08337 -1.09391,41.03394 -0.90714,39.74854 -2.08268,38.09509 -3.86246,39.19922 -4.66447,39.38049 -4.63151,40.22644 -3.02201,40.23193 -2.68143,40.44067 -2.53861,40.62195 -2.56058,41.56128 -1.62125,41.08337 -1.09391))",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 15872 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008248-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksbodv
title: Occurrence Download

description: A dataset containing 2523574 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiroptera"
 ]
}

 The dataset includes 2523574 records from 762 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017578-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkllkl
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptogenys kraepelini Forel, 1905"
 ]
}

 The dataset's 5 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008646-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rkrrta
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Setia microbia H.J.Hoenselaar & J.Hoenselaar, 1991"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008248-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h36utq
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aiouea salicifolia (Nees) R.Rohde"
 ]
}

 The dataset includes 150 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019293-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2p9qm
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agave cupreata Trel. & A.Berger",
 "Year 2010-2020"
 ]
}

 The dataset includes 24 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081972-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb6yk1
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uganda",
 "TaxonKey is Buphagus erythrorhynchus (Stanley, 1814)"
 ]
}

 The dataset includes 69 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008248-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.