cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/ny8j-0m50
title: "Bamidele Olumilua University of Science & Technology BOUESTI 2025\/26 Supplementary Form\/Part Time Form, Diploma Form 07031546008"

description: "Bamidele Olumilua University of Science & Technology {BOUESTI} 2025\/26 Supplementary Form\/Part Time Form, Diploma Form Is Out Now Call (07031546008), TO APPLY CALL THE OFFICE OF THE REGISTRAR (07031546008) FOR FURTHER INFORMATION ON HOW TO MAKE YOUR PROPER REGISTRATION BEFORE THE CLOSING DATE."
DOI: 10.15468/dl.725k5p
title: Occurrence Download

description: A dataset containing 1210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Trachemys scripta elegans"
 ]
}

 The dataset includes 1210 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016591-251025141854904/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.29986939
title: The chromosome-scale genome assembly of <i>Flemingia macrophylla</i>

description: In this study, we present an improved chromosome-level genome assembly of <i>Flemingia macrophylla</i> generated using PacBio HiFi long-read sequencing and Hi-C scaffolding. The datasets as follows:01_assembly.7z - Includes <i>Flemingia </i><i>macrophyll</i><i>a</i> genome assembly draft using HiFiasm v0.25.0 and chromosome-level genome assembly.02_annotation.7z - Includes structural prediction files and protein sequence files.
DOI: 10.6084/m9.figshare.29986939.v4
title: The chromosome-scale genome assembly of <i>Flemingia macrophylla</i>

description: In this study, we present an improved chromosome-level genome assembly of <i>Flemingia macrophylla</i> generated using PacBio HiFi long-read sequencing and Hi-C scaffolding. The datasets as follows:01_assembly.7z - Includes <i>Flemingia </i><i>macrophyll</i><i>a</i> genome assembly draft using HiFiasm v0.25.0 and chromosome-level genome assembly.02_annotation.7z - Includes structural prediction files and protein sequence files.
DOI: 10.6084/m9.figshare.29986939.v3
title: Data for manuscript "Chromosome genome assembly of Flemingia macrophylla"

description: In this study, we present an improved chromosome-level genome assembly of <i>Flemingia macrophylla</i> generated using PacBio HiFi long-read sequencing and Hi-C scaffolding. The datasets as follows:01_assembly.7z - Includes <i>Flemingia </i><i>macrophyll</i><i>a</i> genome assembly draft using HiFiasm v0.25.0 and chromosome-level genome assembly.02_annotation.7z - Includes structural prediction files and protein sequence files.
DOI: 10.5281/zenodo.17528151
title: Input Files for SALEC2D Used in "Numerical Simulations of the Central Peak–to–Peak Ring Transition of Complex Craters"

description: Input files for SALEC2D are named as r{a}v{v/10}b{b}e{log2(e/η₀)+3}.inp

where a is the impactor radius (1–5 km), v is the impact velocity (14 km/s), b is the block AF damping time (50–500), and e is the block AF viscosity coefficient ranging from (1/8) η₀ to 8 η₀, with η₀ = 0.015.
DOI: 10.5281/zenodo.17528152
title: Input Files for SALEC2D Used in "Numerical Simulations of the Central Peak–to–Peak Ring Transition of Complex Craters"

description: Input files for SALEC2D are named as r{a}v{v/10}b{b}e{log2(e/η₀)+3}.inp

where a is the impactor radius (1–5 km), v is the impact velocity (14 km/s), b is the block AF damping time (50–500), and e is the block AF viscosity coefficient ranging from (1/8) η₀ to 8 η₀, with η₀ = 0.015.
DOI: 10.5281/zenodo.17528233
title: HUQUQ IJODKORLIGI SOHASIDA YUZAGA KELAYOTGAN KORRUPSIYA MUAMMOLARI

description: Mazkur maqolada huquq ijodkorligi jarayonida yuzaga kelayotgan korrupsiya muammolari chuqur tahlil qilinadi. Men shuni aytmoqchimanki huquq ijodkorligi — davlat hokimiyatining qonun chiqaruvchi tarmog‘idagi markaziy faoliyat ekanini ta’kidlab, unda yuz berayotgan korrupsion xavflarning ijtimoiy va huquqiy oqibatlarini ochib beradi. Tadqiqotda O‘zbekiston Respublikasining “Korrupsiyaga qarshi kurashish to‘g‘risida”gi Qonuni, “Normativ-huquqiy hujjatlar to‘g‘risida”gi Qonuni hamda Birlashgan Millatlar Tashkilotining 2003-yilgi Korrupsiyaga qarshi konvensiyasi kabi normativ manbalar asos sifatida olingan. Kalit so‘zlar: huquq ijodkorligi, korrupsiya, manfaatlar to‘qnashuvi, shaffoflik, jamoatchilik nazorati, normativ-huquqiy hujjatlar, qonun ijodkorligi.
DOI: 10.5281/zenodo.17528234
title: HUQUQ IJODKORLIGI SOHASIDA YUZAGA KELAYOTGAN KORRUPSIYA MUAMMOLARI

description: Mazkur maqolada huquq ijodkorligi jarayonida yuzaga kelayotgan korrupsiya muammolari chuqur tahlil qilinadi. Men shuni aytmoqchimanki huquq ijodkorligi — davlat hokimiyatining qonun chiqaruvchi tarmog‘idagi markaziy faoliyat ekanini ta’kidlab, unda yuz berayotgan korrupsion xavflarning ijtimoiy va huquqiy oqibatlarini ochib beradi. Tadqiqotda O‘zbekiston Respublikasining “Korrupsiyaga qarshi kurashish to‘g‘risida”gi Qonuni, “Normativ-huquqiy hujjatlar to‘g‘risida”gi Qonuni hamda Birlashgan Millatlar Tashkilotining 2003-yilgi Korrupsiyaga qarshi konvensiyasi kabi normativ manbalar asos sifatida olingan. Kalit so‘zlar: huquq ijodkorligi, korrupsiya, manfaatlar to‘qnashuvi, shaffoflik, jamoatchilik nazorati, normativ-huquqiy hujjatlar, qonun ijodkorligi.
DOI: 10.5281/zenodo.17528211
title: calliper generated data for performance evaluation (throughput and latency)

description: This is a data generated through hyperledger caliper and then consolidated into a single excel sheet. The major evlauation parameters covered are throughput and latency.
DOI: 10.5281/zenodo.17528212
title: calliper generated data for performance evaluation (throughput and latency)

description: This is a data generated through hyperledger caliper and then consolidated into a single excel sheet. The major evlauation parameters covered are throughput and latency.
DOI: 10.15468/dl.rfjd3e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lineus insignis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016593-251025141854904/datasets/export for details.
DOI: 10.15468/dl.fnrtq5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Streptocarpus sambiranensis"
 ]
}

 The dataset includes 12 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016595-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuf2v8
title: Occurrence Download

description: A dataset containing 4497924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 396d5f30-dea9-11db-8ab4-b8a03c50a862",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 4497924 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016581-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6qtm9w
title: Occurrence Download

description: A dataset containing 449938 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Leucadendron rourkei, Astragalus calvertii, Echinophora tournefortii, Gazania ciliaris, Gazania serrata, Astragalus eubrychioides, Berberis libanotica, Berberis microphylla, Haplopappus setulosus, Astragalus askalensis, Disperis lindleyana, Disperis tysonii, Allium tribracteatum, Allium validum, Brachypodium kotschyi, Juncus digitatus, Allium karvounis, Trifolium incarnatum, Trifolium nigrescens, Trifolium ornithopodioides, Angelica californica, Astragalus apricus, Astragalus asper, Astragalus aucheri, Astragalus bracteosus, Astragalus oophorus, Berberis valdiviana, Ehrharta delicatula, Ehrharta erecta, Crepis hakkarica, Cineraria albicans, Cineraria arctotidea, Lepidosperma curtisiae, Lepidosperma tetraquetrum, Allium aucheri, Allium goulimyi, Allium karamanoglui, Allium marathasicum, Allium multibulbosum, Allium istanbulense, Disperis purpurata, Salacia gerrardii, Tribulus parvispinus, Astragalus aintabicus, Astragalus comosus, Astragalus compactus, Astragalus cymbaecarpos, Astragalus sibthorpianus, Astragalus sigmoideus, Astragalus singarensis, Astragalus trimestris, Astragalus triradiatus, Berberis cretica, Cleomella plocasperma, Crepis stojanovii, Astragalus eriocalyx, Ebenus armitagei, Ebenus boissieri, Ferulago granatensis, Pascalia glauca, Juncus bulbosus, Elymus hansenii, Allium bingoelense, Allium sultaniae-ismailii, Astragalus breviflorus, Astragalus fraxinifolius, Astragalus incertus, Haplopappus phyllophorus, Haplopappus pinnatifidus, Haplopappus reicheanus, Haplopappus bezanillanus, Ifloga obovata, Disperis wealei, Allium pictistamineum, Allium punctum, Allium szovitsii, Allium variegatum, Arachnitis uniflora, Juncus jacquinii, Austrostipa turbinata, Trifolium hybridum, Trifolium constantinopolitanum, Trifolium scabrum, Sagina revelierei, Astragalus albertshoferi, Astragalus argyroides, Astragalus caraganae, Astragalus caryolobus, Astragalus kirshehiricus, Astragalus leiophyllus, Astragalus paposanus, Astragalus paradoxus, Astragalus psoraloides, Dicladanthera glabra, Crepis cytherea, Cineraria erodioides, Helianthus cusickii, Lepidosperma rupestre, Lepidosperma sieberi, Allium archeotrichon)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 449938 records from 2081 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016564-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/f2s47y3nhn.1
title: Gut microbes influence division of labor in honey bees

description: Hypothesis: Variations in gut microbial community influence variations in honey bee behavior to influence division of labor. See Vernier et al for more information.
Notable findings: Nurses and foragers consistently differ in gut microbial community within experimental colonies, and single microbe inoculations with Bifidobacterium asteroides, Lactobacillus mellis, and Lactobacillus melliventris cause effects on group and individual level foraging intensity. See Vernier et al for more information.
16S rRNA sequencing data: 16S rRNA sequencing sample information for each sequencing run (December 2020, December 2021, July 2021), ASV and taxonomy tables for each 16S rRNA sequencing run.
Behavioral data: Single microbe inoculation information (dates of inoculation, dates of behavioral monitoring, barcode information, colony location, etc.), Single microbe forager data (information on individual foragers, elite forager status, etc.), raw entrance data (all incoming and outgoing events for each barcode in each experimental colony with dates and times in Unix and human readable formats).
DOI: 10.17632/f2s47y3nhn.2
title: Gut microbes influence division of labor in honey bees

description: Hypothesis: Variations in gut microbial community influence variations in honey bee behavior to influence division of labor. See Vernier et al for more information.
Notable findings: Nurses and foragers consistently differ in gut microbial community within experimental colonies, and single microbe inoculations with Bifidobacterium asteroides, Lactobacillus mellis, and Lactobacillus melliventris cause effects on group and individual level foraging intensity. See Vernier et al for more information.
16S rRNA sequencing data: 16S rRNA sequencing sample information for each sequencing run (December 2020, December 2021, July 2021), ASV and taxonomy tables for each 16S rRNA sequencing run.
Behavioral data: Single microbe inoculation information (dates of inoculation, dates of behavioral monitoring, barcode information, colony location, etc.), Single microbe forager data (information on individual foragers, elite forager status, etc.), raw entrance data (all incoming and outgoing events for each barcode in each experimental colony with dates and times in Unix and human readable formats).
DOI: 10.17632/f2s47y3nhn
title: Gut microbes influence division of labor in honey bees

description: Hypothesis: Variations in gut microbial community influence variations in honey bee behavior to influence division of labor. See Vernier et al for more information.
Notable findings: Nurses and foragers consistently differ in gut microbial community within experimental colonies, and single microbe inoculations with Bifidobacterium asteroides, Lactobacillus mellis, and Lactobacillus melliventris cause effects on group and individual level foraging intensity. See Vernier et al for more information.
16S rRNA sequencing data: 16S rRNA sequencing sample information for each sequencing run (December 2020, December 2021, July 2021), ASV and taxonomy tables for each 16S rRNA sequencing run.
Behavioral data: Single microbe inoculation information (dates of inoculation, dates of behavioral monitoring, barcode information, colony location, etc.), Single microbe forager data (information on individual foragers, elite forager status, etc.), raw entrance data (all incoming and outgoing events for each barcode in each experimental colony with dates and times in Unix and human readable formats).
DOI: 10.17632/f2s47y3nhn.3
title: Gut microbes influence division of labor in honey bees

description: Hypothesis: Variations in gut microbial community influence variations in honey bee behavior to influence division of labor. See Vernier et al for more information.
Notable findings: Nurses and foragers consistently differ in gut microbial community within experimental colonies, and single microbe inoculations with Bifidobacterium asteroides, Lactobacillus mellis, and Lactobacillus melliventris cause effects on group and individual level foraging intensity. See Vernier et al for more information.
16S rRNA sequencing data: 16S rRNA sequencing sample information for each sequencing run (December 2020, December 2021, July 2021), ASV and taxonomy tables for each 16S rRNA sequencing run.
Behavioral data: Single microbe inoculation information (dates of inoculation, dates of behavioral monitoring, barcode information, colony location, etc.), Single microbe forager data (information on individual foragers, elite forager status, etc.), raw entrance data (all incoming and outgoing events for each barcode in each experimental colony with dates and times in Unix and human readable formats).
DOI: 10.17632/hj6vktg6jw.1
title: Shallow rockburst dataset

description: With a burial depth of 500 m as the delineation, the dataset comprised 69 rock burst cases, spanning hydroelectric power station construction, tunneling, and underground mining.
DOI: 10.17632/tjwvzfk4wg.1
title: 2023_K_Pantopoulos_W_Gu_2023-02-13_Mouse_Serum_Samples

description: GC-MS data collected at the Metabolomics Innovation Resource for W. Gu and K. Pantopoulos on 13/Feb/2023 by Luc Choinière.
DOI: 10.17632/tjwvzfk4wg
title: 2023_K_Pantopoulos_W_Gu_Metabolomics

description: GC-MS data collected at the Metabolomics Innovation Resource for W. Gu and K. Pantopoulos by Luc Choinière.
DOI: 10.17632/tjwvzfk4wg.2
title: 2023_K_Pantopoulos_W_Gu_Metabolomics

description: GC-MS data collected at the Metabolomics Innovation Resource for W. Gu and K. Pantopoulos by Luc Choinière.
DOI: 10.17632/mf78pvcrkk.1
title: LDB1 Western Blot

description: Western blot validating auxin-inducible degron system for LDB1. Western blot for LDB1 (GAPDH as loading control) in LDB1-AID G1E-ER4 cells. 3 samples (parental G1E-ER4 cells, LDB1-AID clone 1, LDB1-AID clone 2); 2 treatment conditions (untreated, 4hr auxin treated). Hypothesis - auxin treatment will deplete LDB1 protein levels in LDB1-AID clones, but not parental cells. Sample order from left to right: parental untreated, parental 4hr auxin, LDB1-AID clone 1 untreated, LDB1-AID clone 1 4hr auxin, LDB1-AID clone 2 untreated, LDB1-AID clone 2 4hr auxin.
DOI: 10.17632/9tc8gkd5dn
title: Sr and Nd isotopic compositions

description: Sr and Nd isotopic compositions in the surface sediments of the Xinglin Bay watershed.
DOI: 10.17632/9tc8gkd5dn.1
title: Sr and Nd isotopic compositions

description: Sr and Nd isotopic compositions in the surface sediments of the Xinglin Bay watershed.
DOI: 10.17632/xx2mkfb6dz
title: Supplementary - Tocilizumab for polyarteritis nodosa

description: Tocilizumab for polyarteritis nodosa. Supplementary data.
DOI: 10.17632/xx2mkfb6dz.1
title: Supplementary - Tocilizumab for polyarteritis nodosa

description: Tocilizumab for polyarteritis nodosa. Supplementary data.
DOI: 10.17632/6h393x8d22
title: Data for: A Computational High Throughput Search of Symmetric Tilt Grain Boundaries in Cerium Oxide

description: Data for: A Computational High Throughput Search of Symmetric Tilt Grain Boundaries in Cerium Oxide

Susanna Vigorito, Joel M. Statham, Joshua S. Tse, Adam R. Symington, Tom L. Underwood, Graeme W. Watson, Günter Möbus, Stephen C. Parker, Lisa J. Gillie, David J. Cooke, and Marco Molinari

Published in Acta Materialia, Year 2025, 120719, https://doi.org/10.1016/j.actamat.2025.120719
DOI: 10.17632/j6vbb7jvx7.2
title: Data for: Referential alarm calls in cooperatively breeding white-winged choughs communicate about predator type and urgency

description: Data for: Referential alarm calls in cooperatively breeding white-winged choughs communicate about predator type and urgency
DOI: 10.17632/6h393x8d22.1
title: Data for: A Computational High Throughput Search of Symmetric Tilt Grain Boundaries in Cerium Oxide

description: Data for: A Computational High Throughput Search of Symmetric Tilt Grain Boundaries in Cerium Oxide

Susanna Vigorito, Joel M. Statham, Joshua S. Tse, Adam R. Symington, Tom L. Underwood, Graeme W. Watson, Günter Möbus, Stephen C. Parker, Lisa J. Gillie, David J. Cooke, and Marco Molinari

Published in Acta Materialia, Year 2025, 120719, https://doi.org/10.1016/j.actamat.2025.120719
DOI: 10.17632/fpkg3nrxyc.1
title: Mating behaviour of Tooth-billed Bowerbirds Scenopoeetes dentirostris

description: Video recording depicting the mounting and post-insemination components of Tooth-billed Bowerbird Scenopoeetes dentirostris courtship and mating.
DOI: 10.17632/6jf5tp2cnn
title: Characteristics of the cohort undergoing nodal evaluation

description: SUPPLEMENTARY MATERIALS

Supplemental Table 1: Characteristics of the cohort undergoing nodal evaluation (n=6,417)
DOI: 10.17632/rwmyn3kjxp.1
title: The USP11/TCEAL1 complex promotes transcription elongation to sustain oncogenic gene expression in neuroblastoma

description: Data show:
- Immunoblots showing protein levels after knockdown or co-immunoprecipitations
- qPCR of ChIP
DOI: 10.17632/6jf5tp2cnn.1
title: Characteristics of the cohort undergoing nodal evaluation

description: SUPPLEMENTARY MATERIALS

Supplemental Table 1: Characteristics of the cohort undergoing nodal evaluation (n=6,417)
DOI: 10.15468/dl.n6akmw
title: Occurrence Download

description: A dataset containing 4639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Observation, Human Observation, Machine Observation, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Herminia tarsipennalis Treitschke, 1835"
 ]
}

 The dataset includes 4639 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008997-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14869944
title: Dataset for Fast classification of suspended sediment hysteresis patterns in karst watersheds

description: This dataset contains 24,271 images of suspended sediment concentration-discharge hysteresis patterns, collected from 40 karst watersheds during the 2009-2012 period. The dataset is intended for use in classification and hydrological analysis
DOI: 10.5281/zenodo.11394391
title: Marine multichannel seismic data collected during RV METEOR expedition M113 (University of Hamburg)
DOI: 10.5281/zenodo.14460611
title: Spatial patterns and mechanisms of the temperature response in East Asia to mid-Piacenzian warming
DOI: 10.5281/zenodo.11174043
title: DNA hypomethylation-related expression of hsa-miR-184 contribute to invasive growth of gonadotroph neuroendocrine pituitary tumors

description: Gonadotroph neuroendocrine pituitary tumors are among the most common intracranial neoplasms. A notable proportion of these tumors is characterized by invasive growth which hamper the treatment results and worsen prognosis for patients. Increased hsa-miR-184 expression was observed in invasive gonadotroph tumor. This study was aimed to determine the role hsa-miR-184 expression in invasive growth of gonadotroph tumors.

QRT-PCR and bisulfite pyrosequencing were used for evaluating hsa-miR-184 expression and MIR184 DNA methylation levels in tumor and normal pituitary samples. LβT2 and αT3-1 gonadotroph cells were used to test the effect of miR-184 on cell viability (MTT test), proliferation (BrDU incorporation) and migration (scratch assay). RNA sequencing was used for transcriptome analysis in mir-184 treated and untreated LβT2 cells. Differential expression analysis combined with target prediction were used to identify miR-184 target followed by its validation with Luciferase reporter assay.

Analysis of tissue samples showed that hsa-miR-184 is downregulated in gonadotroph tumors and its expression is lower in invasive that noninvasive ones. Promoter of MIR184 is demethylated in tumors and the methylation level is negatively correlated with hsa-miR-184 expression. Transfecting LβT2 and αT3-1 with miR-184 mimic resulted in increasing cellular proliferation and viability. Differentially expressed genes were identified when comparing miR-184 treated and untreated cells including only Nus1 as predicted miR-184 target. The interaction between miR-184 and 3’UTR of Nus1 was confirmed in both LβT2 and αT3-1. Overexpression of Nus1 resulted in lowering cell viability in both cells and proliferation in LβT2. The expression level of NUS1 was found lowered in invasive than noninvasive tumors.

Our results indicate that DNA hypomethylation-related increase of hsa-mir-184 expression contribute to invasive growth of gonadotroph pituitary tumors through targeting NUS1- being one the various molecular mechanisms involved acquiring the aggressive growth potential..fastq.gz files are raw sequences, which were aligned to GRCm39 genome by STAR aligner, subsequently differentiall expression with DESeq2 was performed (DEGs_mir184.csv) and gene set expression analysis was accomplished with fgsea against a range of gene sets (Reactome, Gene Ontology, KEGG, etc.); these results are stored in gsea.zip.