cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26553569.v1
title: Additional file 1 of Time-dependent risk of COVID-19 death with overwhelmed health-care capacity in Japan, 2020–2022

description: Additional file 1. Data generated or analysed during this study.
DOI: 10.6084/m9.figshare.26553440
title: Additional file 12 of WATLAS: high-throughput and real-time tracking of many small birds in the Dutch Wadden Sea

description: Additional file 12. Data file with localizations to calculate the social network and map tracks for the seven red knots as shown in Fig. 8. TAG represents Individual tag identity, TIME is UNIX time (s), X is the X-coordinate of localizations (m, UTM 31N), Y is the Y-coordinate of localizations (m, UTM 31N), NBS is the number of base stations used to calculate localizations, VARX is the Variance in X coordinates, VARY is the Variance in Y coordinates, COVXY is the Covariance between X and Y coordinates, and ts is the timestamp (CET).
DOI: 10.5281/zenodo.13309749
title: When monkeys meet an ANYmal robot in the wild

description: Data and script used to analyse data for the study: "When monkeys meet an ANYmal robot in the wild"
DOI: 10.5281/zenodo.13309750
title: When monkeys meet an ANYmal robot in the wild

description: Data and script used to analyse data for the study: "When monkeys meet an ANYmal robot in the wild"
DOI: 10.15468/dl.nfvjnj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.751907 -33.72345, 147.754153 -33.72345, 147.754153 -33.718958, 147.751907 -33.718958, 147.751907 -33.72345)), ((147.751907 -33.72345, 147.747415 -33.72345, 147.747415 -33.725696, 147.751907 -33.725696, 147.751907 -33.72345)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064061-240626123714530/datasets/export for details.
DOI: 10.15468/dl.4chx9c
title: Occurrence Download

description: A dataset containing 7967 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Colecção Entomológica do Museu de História Natural de Maputo"
 ]
}

 The dataset includes 7967 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064062-240626123714530/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.26557877.v1
title: Additional file 5 of miR-4443 promotes radiation resistance of esophageal squamous cell carcinoma via targeting PTPRJ

description: Additional file 5: Table S4. The list of thirty-six patients with ESCC received radiotherapy.
DOI: 10.6084/m9.figshare.26557880
title: Additional file 6 of miR-4443 promotes radiation resistance of esophageal squamous cell carcinoma via targeting PTPRJ

description: Additional file 6: Table S5. The result of WGCNA.
DOI: 10.15468/dl.d2kdv4
title: Occurrence Download

description: A dataset containing 125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-180 -90, 180 -90, 180 90, -180 90, -180 -90))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Dermochelyidae",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 125 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064063-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2a9ck2
title: Occurrence Download

description: A dataset containing 20247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erigeron karvinskianus DC., Houttuynia cordata Thunb., Leycesteria formosa Wall., Verbena bonariensis L.)",
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1976",
 "Year is less than or equal to 2011",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20247 records from 442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064053-240626123714530/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.26553569
title: Additional file 1 of Time-dependent risk of COVID-19 death with overwhelmed health-care capacity in Japan, 2020–2022

description: Additional file 1. Data generated or analysed during this study.
DOI: 10.6084/m9.figshare.26553638
title: Additional file 3 of Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association

description: Additional file 3: Supplementary Figure 3. a: Heatmap of top 150 Gut Microbiota 16S genus for (a) T2D and (b) T2D in Saudi Females (OTU abundance based on BrayCurtis dissimilarity). b: Abundance of Gut Microbiota 16S Taxonomic Composition of: a) non-T2D vs (b) T2D in Saudi Females.
DOI: 10.60731/ujcm.130824
title: Wyższość związku PZ-1922, potrójnie działającego antagonisty receptorów 5-HT6/5-HT3 i odwracalnego inhibitora MAO-B, nad antagonistą receptora 5-HT6 - intepirdyną, w łagodzeniu deficytów poznawczych u szczurów
title: Superiority of the triple-acting 5‑HT6R/5-HT3R antagonist and MAO‑B reversible inhibitor PZ-1922 over 5‑HT6R antagonist intepirdine in alleviation of cognitive deficits in rats
DOI: 10.15468/dl.k337ft
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((146.707611 -33.757137, 146.707611 -33.761628, 146.709856 -33.761628, 146.709856 -33.757137, 146.707611 -33.757137))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064067-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26553560.v1
title: Additional file 1 of Coinfection of Clonorchis sinensis and hepatitis B virus: clinical liver indices and interaction in hepatic cell models

description: Additional file 1: Table S1. Primer sequences for Q-PCR
DOI: 10.6084/m9.figshare.24722274.v1
title: Supplemental Material <b>A universal preservation protocol for multi-omic and histological analysis of kidney tissue</b>

description: Biobanking of tissue from clinically obtained kidney biopsies for later use with multi-omic and imaging techniques is an inevitable step to overcome the need of disease model systems and towards translational medicine. Hence, collection protocols ensuring integration into daily clinical routines using preservation media not requiring liquid nitrogen but instantly preserving kidney tissue for clinical and scientific analyses are of paramount importance. Thus, we modified a robust single nucleus dissociation protocol for kidney tissue stored snap frozen or in the preservation media RNA<i>later</i>and CellCover. Using porcine kidney tissue as surrogate for human kidney tissue, we conducted single nucleus RNA sequencing with the Chromium 10X Genomics platform. The resulting data sets from each storage condition were analyzed to identify any potential variations in transcriptomic profiles. Furthermore, we assessed the suitability of the preservation media for additional analysis techniques (proteomics, metabolomics) and the preservation of tissue architecture for histopathological examination including immunofluorescence staining. In this study, we show that in daily clinical routines the RNA<i>later</i> facilitates the collection of highly preserved kidney biopsies and enables further analysis with cutting-edge techniques like single nucleus RNA sequencing, proteomics, and histopathological evaluation. Only metabolome analysis is currently restricted to snap frozen tissue. This work will contribute to build tissue biobanks with well-defined cohorts of the respective kidney disease that can be deeply molecularly characterized, opening new horizons for the identification of unique cells, pathways and biomarkers for the prevention, early identification, and targeted therapy of kidney diseases.
DOI: 10.6084/m9.figshare.26553635
title: Additional file 2 of Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association

description: Additional file 2: Supplementary Figure 2. a: Heatmap of top 150 genus for (a) Non-T2D & (b) T2D (OTU abundance based on BrayCurtis dissimilarity). b: Heatmap of top 50 genus for (a) Non-T2D & (b) T2D individuals listed respectively.
DOI: 10.15468/dl.q9u2p2
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.035497 -33.703238, 147.035497 -33.707729, 147.031006 -33.707729, 147.031006 -33.712221, 147.026514 -33.712221, 147.026514 -33.716712, 147.046726 -33.716712, 147.046726 -33.709975, 147.042235 -33.709975, 147.042235 -33.707729, 147.062447 -33.707729, 147.062447 -33.714467, 147.064693 -33.714467, 147.064693 -33.716712, 147.07143 -33.716712, 147.07143 -33.718958, 147.075922 -33.718958, 147.075922 -33.721204, 147.07143 -33.721204, 147.07143 -33.72345, 147.062447 -33.72345, 147.062447 -33.725696, 147.057955 -33.725696, 147.057955 -33.734679, 147.055709 -33.734679, 147.055709 -33.730187, 147.046726 -33.730187, 147.046726 -33.727941, 147.04448 -33.727941, 147.04448 -33.730187, 147.035497 -33.730187, 147.035497 -33.732433, 147.031006 -33.732433, 147.031006 -33.734679, 147.026514 -33.734679, 147.026514 -33.73917, 147.031006 -33.73917, 147.031006 -33.741416, 147.035497 -33.741416, 147.035497 -33.743662, 147.057955 -33.743662, 147.057955 -33.745908, 147.062447 -33.745908, 147.062447 -33.748154, 147.066938 -33.748154, 147.066938 -33.750399, 147.075922 -33.750399, 147.075922 -33.752645, 147.080413 -33.752645, 147.080413 -33.754891, 147.089396 -33.754891, 147.089396 -33.757137, 147.09838 -33.757137, 147.09838 -33.759383, 147.107363 -33.759383, 147.107363 -33.761628, 147.116346 -33.761628, 147.116346 -33.763874, 147.120838 -33.763874, 147.120838 -33.752645, 147.125329 -33.752645, 147.125329 -33.743662, 147.129821 -33.743662, 147.129821 -33.734679, 147.134312 -33.734679, 147.134312 -33.72345, 147.129821 -33.72345, 147.129821 -33.721204, 147.120838 -33.721204, 147.120838 -33.718958, 147.116346 -33.718958, 147.116346 -33.716712, 147.111854 -33.716712, 147.111854 -33.714467, 147.102871 -33.714467, 147.102871 -33.712221, 147.089396 -33.712221, 147.089396 -33.714467, 147.080413 -33.714467, 147.080413 -33.709975, 147.073676 -33.709975, 147.073676 -33.707729, 147.069184 -33.707729, 147.069184 -33.705483, 147.066938 -33.705483, 147.066938 -33.703238, 147.035497 -33.703238), (147.042235 -33.709975, 147.042235 -33.714467, 147.039989 -33.714467, 147.039989 -33.709975, 147.042235 -33.709975), (147.078167 -33.734679, 147.080413 -33.734679, 147.080413 -33.73917, 147.084905 -33.73917, 147.084905 -33.741416, 147.073676 -33.741416, 147.073676 -33.73917, 147.078167 -33.73917, 147.078167 -33.734679))"
 ]
}

 The dataset includes 275 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064068-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/qx32-8627
title: Hierarchical Perceptual Decision-Making Experiment: Behavioral and Eye-Tracking Data

description: This image visually represents a small dataset from a hierarchical perceptual decision-making experiment involving 17 human subjects. The table layout includes key data columns such as "Subject Number," "Trial Number," "Reaction Time (ms)," "Accuracy," and "Pupil Size (mm)." Each row corresponds to individual subject data, showing trial-specific numerical values. This dataset illustration is designed to be simple, clear, and easy to read, making it a useful reference for understanding the structure and content of the collected data. The visual presentation aids in comprehending how the dataset is organized and how it can be analyzed using tools like MATLAB.
DOI: 10.15468/dl.ktb7fu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.196575 -33.757137, 148.196575 -33.763874, 148.198821 -33.763874, 148.198821 -33.757137, 148.196575 -33.757137))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064069-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.26553695
title: Additional file 2 of An uncharacterized protein NY1 targets EAT1 to regulate anther tapetum development in polyploid rice

description: Additional file 2: Table S1. Mutations detected in the NY1 sequence of 121 rice materials. Table S2. Analysis of NY1 DNA sequence variations in neo-tetraploid (H3) compared to autotetraploid (T452) rice. Table S3-1 to S3-24. Mutation site of ny1 allele, reference allele and the alternative allele type1 to 22.
DOI: 10.34740/kaggle/dsv/9165291
title: Ozone concentration levels in CASTNET Dataset
DOI: 10.6084/m9.figshare.24722274
title: Supplemental Material <b>Optimized protocol for the multi-omics processing of cryopreserved human kidney tissue</b>

description: Biobanking of tissue from clinically obtained kidney biopsies for later use with multi-omic and imaging techniques is an inevitable step to overcome the need of disease model systems and towards translational medicine. Hence, collection protocols ensuring integration into daily clinical routines using preservation media not requiring liquid nitrogen but instantly preserving kidney tissue for clinical and scientific analyses are of paramount importance. Thus, we modified a robust single nucleus dissociation protocol for kidney tissue stored snap frozen or in the preservation media RNA<i>later</i>and CellCover. Using porcine kidney tissue as surrogate for human kidney tissue, we conducted single nucleus RNA sequencing with the Chromium 10X Genomics platform. The resulting data sets from each storage condition were analyzed to identify any potential variations in transcriptomic profiles. Furthermore, we assessed the suitability of the preservation media for additional analysis techniques (proteomics, metabolomics) and the preservation of tissue architecture for histopathological examination including immunofluorescence staining. In this study, we show that in daily clinical routines the RNA<i>later</i> facilitates the collection of highly preserved kidney biopsies and enables further analysis with cutting-edge techniques like single nucleus RNA sequencing, proteomics, and histopathological evaluation. Only metabolome analysis is currently restricted to snap frozen tissue. This work will contribute to build tissue biobanks with well-defined cohorts of the respective kidney disease that can be deeply molecularly characterized, opening new horizons for the identification of unique cells, pathways and biomarkers for the prevention, early identification, and targeted therapy of kidney diseases.
DOI: 10.6084/m9.figshare.24722274.v3
title: Supplemental Material <b>Optimized protocol for the multi-omics processing of cryopreserved human kidney tissue</b>

description: Biobanking of tissue from clinically obtained kidney biopsies for later use with multi-omic and imaging techniques is an inevitable step to overcome the need of disease model systems and towards translational medicine. Hence, collection protocols ensuring integration into daily clinical routines using preservation media not requiring liquid nitrogen but instantly preserving kidney tissue for clinical and scientific analyses are of paramount importance. Thus, we modified a robust single nucleus dissociation protocol for kidney tissue stored snap frozen or in the preservation media RNA<i>later</i>and CellCover. Using porcine kidney tissue as surrogate for human kidney tissue, we conducted single nucleus RNA sequencing with the Chromium 10X Genomics platform. The resulting data sets from each storage condition were analyzed to identify any potential variations in transcriptomic profiles. Furthermore, we assessed the suitability of the preservation media for additional analysis techniques (proteomics, metabolomics) and the preservation of tissue architecture for histopathological examination including immunofluorescence staining. In this study, we show that in daily clinical routines the RNA<i>later</i> facilitates the collection of highly preserved kidney biopsies and enables further analysis with cutting-edge techniques like single nucleus RNA sequencing, proteomics, and histopathological evaluation. Only metabolome analysis is currently restricted to snap frozen tissue. This work will contribute to build tissue biobanks with well-defined cohorts of the respective kidney disease that can be deeply molecularly characterized, opening new horizons for the identification of unique cells, pathways and biomarkers for the prevention, early identification, and targeted therapy of kidney diseases.
DOI: 10.6084/m9.figshare.24722274.v2
title: Supplemental Material <b>Optimized protocol for the multi-omics processing of cryopreserved human kidney tissue</b>

description: Biobanking of tissue from clinically obtained kidney biopsies for later use with multi-omic and imaging techniques is an inevitable step to overcome the need of disease model systems and towards translational medicine. Hence, collection protocols ensuring integration into daily clinical routines using preservation media not requiring liquid nitrogen but instantly preserving kidney tissue for clinical and scientific analyses are of paramount importance. Thus, we modified a robust single nucleus dissociation protocol for kidney tissue stored snap frozen or in the preservation media RNA<i>later</i>and CellCover. Using porcine kidney tissue as surrogate for human kidney tissue, we conducted single nucleus RNA sequencing with the Chromium 10X Genomics platform. The resulting data sets from each storage condition were analyzed to identify any potential variations in transcriptomic profiles. Furthermore, we assessed the suitability of the preservation media for additional analysis techniques (proteomics, metabolomics) and the preservation of tissue architecture for histopathological examination including immunofluorescence staining. In this study, we show that in daily clinical routines the RNA<i>later</i> facilitates the collection of highly preserved kidney biopsies and enables further analysis with cutting-edge techniques like single nucleus RNA sequencing, proteomics, and histopathological evaluation. Only metabolome analysis is currently restricted to snap frozen tissue. This work will contribute to build tissue biobanks with well-defined cohorts of the respective kidney disease that can be deeply molecularly characterized, opening new horizons for the identification of unique cells, pathways and biomarkers for the prevention, early identification, and targeted therapy of kidney diseases.
DOI: 10.5281/zenodo.7229480
title: Harmonization of experimental procedures to assess mitochondrial respiration in human permeabilized skeletal muscle fibers

description: DatLab files of the experiments included in the "Harmonization of experimental procedures to assess mitochondrial respiration in human permeabilized skeletal muscle fibers" manuscript (https://doi.org/10.1016/j.freeradbiomed.2024.07.039).
DOI: 10.5281/zenodo.7229481
title: Harmonization of experimental procedures to assess mitochondrial respiration in human permeabilized skeletal muscle fibers

description: DatLab files of the experiments included in the "Harmonization of experimental procedures to assess mitochondrial respiration in human permeabilized skeletal muscle fibers" manuscript (https://doi.org/10.1016/j.freeradbiomed.2024.07.039).
DOI: 10.15468/dl.8pjqky
title: Occurrence Download

description: A dataset containing 3923 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (CHN.31.1_1, CHN.31.3_1, CHN.31.2_1, CHN.31.8_1, CHN.31.6_1)",
 "TaxonKey is Lanius schach Linnaeus, 1758"
 ]
}

 The dataset includes 3923 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064070-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kady9k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.162888 -33.759383, 148.162888 -33.763874, 148.16738 -33.763874, 148.16738 -33.759383, 148.162888 -33.759383))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064071-240626123714530/datasets/export for details.
DOI: 10.15468/dl.6qrc35
title: Occurrence Download

description: A dataset containing 20247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Erigeron karvinskianus DC., Houttuynia cordata Thunb., Leycesteria formosa Wall., Verbena bonariensis L.)",
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Unknown evidence, Machine Observation, Occurrence evidence)",
 "Year is greater than or equal to 1976",
 "Year is less than or equal to 2011",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20247 records from 442 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064066-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gzb696
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrocoelia praetexta",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 261 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020832-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyxypv
title: Occurrence Download

description: A dataset containing 17962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yucca brevifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17962 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020837-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4had4u
title: Occurrence Download

description: A dataset containing 2654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vitis labrusca",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2654 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020833-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2egkf
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amsonia tharpii",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020836-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.