cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19949009.v1
title: Global dataset taxonomy table 16S

description: Global taxonomy table associated to ASV table with Silva v138. Details in publication
DOI: 10.6084/m9.figshare.25466461.v4
title: Prediction of blood-brain barrier penetrating peptides based on data augmentation with Augur

description: The blood-brain barrier serves as a critical interface between the bloodstream and brain tissue, mainly composed of pericytes, neurons, endothelial cells, and tightly connected basal membranes. It plays a pivotal role in safeguarding brain from harmful substances, thus protecting the integrity of the nervous system and preserving overall brain homeostasis. However, this remarkable selective transmission also poses a formidable challenge in the realm of central nervous system diseases treatment, hindering the delivery of large-molecule drugs into the brain. In response to this challenge, many researchers have devoted themselves to developing drug delivery systems capable of breaching the blood-brain barrier. Among these, blood-brain barrier penetrating peptides have emerged as promising candidates. These peptides had the advantages of high biosafety, ease of synthesis, and exceptional penetration efficiency, making them an effective drug delivery solution. While previous studies have developed a few prediction models for B3PPs, their performance has often been hampered by issue of limited positive data.In this study, we present Augur, a novel prediction model using borderline-SMOTE-based data augmentation and machine learning. we extract highly interpretable physicochemical properties of blood-brain barrier penetrating peptides while solving the issues of small sample size and imbalance of positive and negative samples. Experimental results demonstrate the superior prediction performance of Augur with an AUC value of 0.932 on the training set and 0.931 on the independent test set.This newly developed Augur model demonstrates superior performance in predicting blood-brain barrier penetrating peptides, offering valuable insights for drug development targeting neurological disorders. This breakthrough may enhance the efficiency of peptide-based drug discovery and pave the way for innovative treatment strategies for central nervous system diseases.
DOI: 10.17632/44t27sg558
title: wind, price data

description: These data sets are for wind power data, energy and spinning reserve market prices.
DOI: 10.17632/77ptpz58f3
title: Supplemental Material JAAD Enfortumab

description: Supplemental Table JAAD Enfortumab
DOI: 10.17632/fkfx7dmysy
title: Efficacy of antihistamines in combination with topical corticosteroid and superficial cryotherapy for treatment of alopecia areata: A retrospective cohort study

description: Supplementary Table 1. Previously published clinical studies of antihistamine for treatment of alopecia areata
DOI: 10.6084/m9.figshare.11916489.v1
title: Data_Set_2.xlsx

description: These data represent the regression statistics for impact crater morphometry data from the InSight landing site published in Warner et al. (2020; in press) with JGR Planets. <br>
DOI: 10.6084/m9.figshare.23503884.v1
title: HMAP Dataset 08: Swedish Baltic Catch Data, 1752-1990

description: The aim of the Baltic Sea project is to identify the natural and human factors that interact to condition long-term ecosystem change. The historical source material is very rich (MacKenzie et al, 2002), and the ecosystem is very well covered by modern fisheries and oceanographic data. Nevertheless, the enigmas of understanding ecosystem dynamics, especially with regard to the occurrence and fluctuation of marine mammals, cod and herring, have long been recognized to warrant historical investigation. The challenge of political barriers and linguistic diversity has until recently made long-term studies difficult, but the Baltic team has successfully overcome these impediments and identified partners in all Baltic countries. The Baltic Sea team comprises Danish, Swedish, Estonian, Latvian, Russian and Polish researchers, and has generated datasets from a range of archival repositories, including those in Denmark discussed below.
DOI: 10.6084/m9.figshare.25706454.v1
title: Resiliance among Turkish adolescents: a multi-level approach (SPSS DATA)

description: It is the data set of the study titled Resiliance among Turkish adolescents: a multi-level approach.
DOI: 10.6084/m9.figshare.3980175.v1
title: MRI data for SciRep

description: Anonymized and skull-stripped MRI data (T1ce, FLAIR, R2', T2, T2*, CBV, rOEF) used for multi-parametric WHO grade prediction in newly diagnosed glioma in the manuscript "Multiparametric MRI-based differentiation of WHO grade II/III glioma and WHO grade IV glioblastoma" (Scientific Reports, Wiestler et al.)
DOI: 10.6084/m9.figshare.5616310.v1
title: NorthRegional_time_series

description: These three regional time seris were calculated and used in the study published by Nicolle et al. (2017). The methods used to calculate the records are available in the paper. The study is a contribution to the PAGES 2k Network (through the Arctic 2k working group).<br><br>Nicolle, M., Debret, M., Massei, N., Colin, C., deVernal, A., Divine, D., Werner, J. P., Hormes, A., Korhola, A., and Linderholm, H. W.: Climate variability in subarctic area for the last two millennia, Clim. Past Discuss., https://doi.org/10.5194/cp-2017-33, in review, 2017.<br>
DOI: 10.6084/m9.figshare.13385327.v1
title: Geomagnetic and solar data

description: Geomagnetic and solar data during 16 - 26 August 2017<br>
DOI: 10.6084/m9.figshare.20813707.v1
title: Metabolic orthologs in Geukensia demissa

description: A set of 27 protein-coding gene regions from the mussel <em>Geukensia demissa</em>. The .geneious format file provides a simple format for viewing our alignments following protocol in Miorin & Wares (in review) with their blastx results. The Nexus directory includes these same alignments with ORF and population assignments coded in NEXUS format, which can be read by Geneious as well as DNAsp, which was used for some of our analytical results.
DOI: 10.6084/m9.figshare.22344445.v1
title: perturbseq_adamson_single

description: Perturb-seq dataset by Adamson et al. 2016 processed for analysis using biolord to include mean of single perturbations.
DOI: 10.6084/m9.figshare.6988802.v1
title: Tracking data, Subject (a) MC Motion

description: Motion tracking data from subject (a) with MC and motion.Aij is the i,j element of the transformation matrix
DOI: 10.17632/yk2ndxr96k
title: Financial Knowledge, Financial Behavior and Entrepreneurial Intention

description: The data set pertains to the measurement of financial knowledge, financial behavior and entrepreneurial intention of Saudi students.
DOI: 10.6084/m9.figshare.28532453.v1
title: 12231861@stu.lzjtu.edu.cn

description: Source date：1.Beijing POI data in 20232.Beijing road network data in 20233.Beijing bus station data in 20234.Beijing community and street administrative division data in 20235.Beijing's Weibo user check-in data in February, April, June, and August 20236.Baidu population heat map data on weekdays and weekends in April 2023Source code：1.Identification of functional areas in Beijing2.Multiscale Geographically Weighted Regression Model<br>
DOI: 10.6084/m9.figshare.28590287.v1
title: Data fusion using weakly aligned sources

description: We introduce a new data fusion method that utilizes multiple data sources to estimate a smooth, finite-dimensional parameter. Most existing methods only make use of fully aligned data sources that share common conditional distributions of one or more variables of interest. However, in many settings, the scarcity of fully aligned sources can make existing methods require unduly large sample sizes to be useful. Our approach enables the incorporation of weakly aligned data sources that are not perfectly aligned, provided their degree of misalignment is known up to finite-dimensional parameters. We quantify the additional efficiency gains achieved through the integration of these weakly aligned sources. We characterize the semiparametric efficiency bound and provide a general means to construct estimators achieving these efficiency gains. We illustrate our results by fusing data from two harmonized HIV monoclonal antibody prevention efficacy trials to study how a neutralizing antibody biomarker associates with HIV genotype.
DOI: 10.6084/m9.figshare.7270880.v2
title: DepMap Achilles 18Q4 public

description: This dataset contains the results of screening 517 cancer cell lines with the Avana CRISPR-Cas9 genome-scale knockout library generated as part of the Broad Institute's Cancer Dependency Map project. It includes the results 32 lines not previously made public. <br><br>As our screening efforts continue, we will be releasing additional cancer dependency data on a quarterly basis for unrestricted use. For the latest datasets available, further analyses, and to subscribe to our mailing list visit https://depmap.org.<br>Descriptions of the experimental methods and the CERES algorithm are published in http://dx.doi.org/10.1038/ng.3984. Some cell lines were process using copy number data based on the Sanger Institute whole exome sequencing data (COSMIC: http://cancer.sanger.ac.uk.cell_lines, EGA accession number: EGAD00001001039) reprocessed using CCLE pipelines.<br>version 2: corrected README
DOI: 10.15468/dl.xzvagc
title: Occurrence Download

description: A dataset containing 172845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Phragmites australis (Cav.) Trin. ex Steud.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 172845 records from 471 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013138-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxqg5k
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 {
 "and" : [
 "Country is one of (Argentina, Falkland Islands (Malvinas), South Georgia and the South Sandwich Islands)",
 "HasGeospatialIssue is false"
 ]
 },
 "Geometry POLYGON((-74 -60, -25 -60, -25 -90, -74 -90, -74 -60))"
 ]
 },
 {
 "and" : [
 "Geometry POLYGON((-65.05953333389074 -54.496640452609995,-65.05953333389074 -55.024971759950496,-62.34167547560381 -55.024971759950496,-62.34167547560381 -54.496640452609995,-65.05953333389074 -54.496640452609995))",
 "TaxonKey is one of (Insecta)"
 ]
 }
 ]
}

 The dataset includes 81 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001838-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fehdx
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron floccigerum Franch."
 ]
}

 The dataset includes 308 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001839-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vh7rk
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rhododendron ochraceum Rehder & E.H.Wilson"
 ]
}

 The dataset includes 138 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001840-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3va2dn
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calotropis gigantea",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 111 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024982-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.52pamf
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Armadillidae",
 "Year 2017-2019",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 100 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049794-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3dhss
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinidia polygama",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049792-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58qc56
title: Occurrence Download

description: A dataset containing 253964 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode IN ('CN', 'HK', 'MO')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2001 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 253964 records were derived from 2610 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049756-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5jasq7
title: Occurrence Download

description: A dataset listing the 10 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is TUN",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Quercus L."
 ]
}

 The dataset's 10 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010259-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15557228
title: UR-MAT: A Multimodal, Material-Aware Synthetic Dataset of Urban Scenarios
DOI: 10.15468/dl.u8c7tz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Holtbyrnia macrops Maul, 1957",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((-0.0352 19.8496,-9.0352 19.8496,-9.0352 10.8496,-0.0352 10.8496,-0.0352 19.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010272-250525065834625/datasets/export for details.
DOI: 10.15468/dl.kf2mmv
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017154-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t8va9
title: Occurrence Download

description: A dataset containing 14362 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-55.32046 -43.69848,93.32046 -43.69848,93.32046 15.69848,-55.32046 15.69848,-55.32046 -43.69848))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Circus maurus (Temminck, 1828)"
 ]
}

 The dataset includes 14362 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017156-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14892590
title: Messages from Telegram Channels in the Context of the Valencia 2024 Floods

description: The dataset comprises messages collected from public channels on Telegram using the tool pytopicgram. The data collection spans from October 21, 2024, at 00:00 to November 20, 2024, at 23:59, capturing a one-month period surrounding the DANA disaster in Valencia, Spain. The DANA (Depresión Aislada en Niveles Altos) event refers to a meteorological phenomenon that caused significant flooding and damage in the region. For more information on this event, you can visit this link.

The channels selected for data collection were those recommended by Telegram starting from the channel Alvise Pérez, one of the most followed ones in Spain. The selection process was limited to channels that could be reached within three steps from this initial channel. For more details on how to navigate and explore channels on Telegram, you can refer to Telegram's official guide.

Access to the dataset will be provided on reasonable request.
DOI: 10.5281/zenodo.14892591
title: Messages from Telegram Channels in the Context of the Valencia 2024 Floods

description: The dataset comprises messages collected from public channels on Telegram using the tool pytopicgram. The data collection spans from October 21, 2024, at 00:00 to November 20, 2024, at 23:59, capturing a one-month period surrounding the DANA disaster in Valencia, Spain. The DANA (Depresión Aislada en Niveles Altos) event refers to a meteorological phenomenon that caused significant flooding and damage in the region. For more information on this event, you can visit this link.

The channels selected for data collection were those recommended by Telegram starting from the channel Alvise Pérez, one of the most followed ones in Spain. The selection process was limited to channels that could be reached within three steps from this initial channel. For more details on how to navigate and explore channels on Telegram, you can refer to Telegram's official guide.

Access to the dataset will be provided on reasonable request.
DOI: 10.4121/d04d8bc0-e499-4fa0-b7e3-dbbc1d7f4573
title: Dataset on teacher candidates' cognitive conflict creation skills

description: This study consists of data from a study that reveals the cognitive conflict skills of prospective teachers; for this, 35 prospective teachers were asked to create cognitive conflict on the subject of misconceptions in fractions. The responses of prospective teachers collected as written documents constitute the data set of this study.<br>
DOI: 10.4121/d04d8bc0-e499-4fa0-b7e3-dbbc1d7f4573.v1
title: Dataset on teacher candidates' cognitive conflict creation skills

description: This study consists of data from a study that reveals the cognitive conflict skills of prospective teachers; for this, 35 prospective teachers were asked to create cognitive conflict on the subject of misconceptions in fractions. The responses of prospective teachers collected as written documents constitute the data set of this study.<br>
DOI: 10.15468/dl.mkq7ff
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017157-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.