cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15141656
title: Circular RNA Circ_0005564 promotes osteogenic differentiation of bone marrow mesenchymal cells in osteoporosis

description: Circular RNA <b>(C</b>ircRNA) plays a potential role in bone formation. We aimed to study the circRNAs expression profiles and their functions in osteogenic differentiation of human bone marrow stromal cells (BMSCs). Firstly, we established osteogenic differentiation of BMSCs displaying increased mRNA expression of osteogenic differentiation marker (RUNX2, OPN, and OCN), increased ALP activity and protein expression, and increased mineralized nodules formation, as well as morphological alteration. Then, we employed high-throughput sequencing to analyze circRNA expression and found that 3440 and 3893 circRNAs in non-induced and induced groups, respectively. We further validated the 10 differentially expressed circRNAs with the most significant difference between induced and non-induced groups. Among these ten circRNAs, five of them with more than one miRNA binding site were used to construct a ceRNA network exhibiting 81 miRNAs and 182 target mRNAs. Furthermore, among these five circRNAs, we found only circ_0005564 significantly reduced the mRNA expression of RUNX2, OPN, and OCN. The circularity of circ_0005564 was verified. Our results showed that knockdown of circ_0005564 inhibited osteoblast differentiation in BMSCs. Taken together, our study demonstrates that circ_0005564 is a potential positive regulator of osteogenic differentiation of BMSCs.
DOI: 10.6084/m9.figshare.15141656.v1
title: Circular RNA Circ_0005564 promotes osteogenic differentiation of bone marrow mesenchymal cells in osteoporosis

description: Circular RNA <b>(C</b>ircRNA) plays a potential role in bone formation. We aimed to study the circRNAs expression profiles and their functions in osteogenic differentiation of human bone marrow stromal cells (BMSCs). Firstly, we established osteogenic differentiation of BMSCs displaying increased mRNA expression of osteogenic differentiation marker (RUNX2, OPN, and OCN), increased ALP activity and protein expression, and increased mineralized nodules formation, as well as morphological alteration. Then, we employed high-throughput sequencing to analyze circRNA expression and found that 3440 and 3893 circRNAs in non-induced and induced groups, respectively. We further validated the 10 differentially expressed circRNAs with the most significant difference between induced and non-induced groups. Among these ten circRNAs, five of them with more than one miRNA binding site were used to construct a ceRNA network exhibiting 81 miRNAs and 182 target mRNAs. Furthermore, among these five circRNAs, we found only circ_0005564 significantly reduced the mRNA expression of RUNX2, OPN, and OCN. The circularity of circ_0005564 was verified. Our results showed that knockdown of circ_0005564 inhibited osteoblast differentiation in BMSCs. Taken together, our study demonstrates that circ_0005564 is a potential positive regulator of osteogenic differentiation of BMSCs.
DOI: 10.6084/m9.figshare.24054558
title: Additional file 1 of Analysis of the genetic contribution to thoracic aortic aneurysm or dissection in a prospective cohort of patients with familial and sporadic cases in East China

description: Supplementary Material 1. Additional file 1. Table S1. List of 23 targeted genes for multiplex PCR-targeted amplicon enrichment. Additional file 2. Table S2. Primer sequences for Sanger validation of 9 pathogenic or likely pathogenic and 4 shared genetic variants. Additional file 3. Table S3. Four variants of uncertain significance were shared in 17 patients. Additional file 4. Table S4. Six patients had more than 1 variant of uncertain significance
DOI: 10.6084/m9.figshare.24054558.v1
title: Additional file 1 of Analysis of the genetic contribution to thoracic aortic aneurysm or dissection in a prospective cohort of patients with familial and sporadic cases in East China

description: Supplementary Material 1. Additional file 1. Table S1. List of 23 targeted genes for multiplex PCR-targeted amplicon enrichment. Additional file 2. Table S2. Primer sequences for Sanger validation of 9 pathogenic or likely pathogenic and 4 shared genetic variants. Additional file 3. Table S3. Four variants of uncertain significance were shared in 17 patients. Additional file 4. Table S4. Six patients had more than 1 variant of uncertain significance
DOI: 10.6084/m9.figshare.19860254
title: Additional file 1 of Medium optimization to analyze the protein composition of Bacillus pumilus HR10 antagonizing Sphaeropsis sapinea

description: Additional file 1: Table S1. All peptide fragments antagonistic protein of B. pumilus HR10 obtained by LC-MS- MS.
DOI: 10.6084/m9.figshare.19860254.v1
title: Additional file 1 of Medium optimization to analyze the protein composition of Bacillus pumilus HR10 antagonizing Sphaeropsis sapinea

description: Additional file 1: Table S1. All peptide fragments antagonistic protein of B. pumilus HR10 obtained by LC-MS- MS.
DOI: 10.5281/zenodo.10724745
title: Harvest Initiated Volatile Organic Compound Emissions From In-Field Tall Wheatgrass
DOI: 10.5281/zenodo.10724746
title: Harvest Initiated Volatile Organic Compound Emissions From In-Field Tall Wheatgrass
DOI: 10.6084/m9.figshare.19860262
title: Additional file 3 of Construction and validation of immune-related LncRNAs classifier to predict prognosis and immunotherapy response in laryngeal squamous cell carcinoma

description: Additional file 3. Supplementary material 2.
DOI: 10.5281/zenodo.10724723
title: Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
DOI: 10.5281/zenodo.10724724
title: Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives
DOI: 10.6084/m9.figshare.19860262.v1
title: Additional file 3 of Construction and validation of immune-related LncRNAs classifier to predict prognosis and immunotherapy response in laryngeal squamous cell carcinoma

description: Additional file 3. Supplementary material 2.
DOI: 10.6084/m9.figshare.19860265
title: Additional file 4 of Construction and validation of immune-related LncRNAs classifier to predict prognosis and immunotherapy response in laryngeal squamous cell carcinoma

description: Additional file 4. Supplementary material 3.
DOI: 10.6084/m9.figshare.19860265.v1
title: Additional file 4 of Construction and validation of immune-related LncRNAs classifier to predict prognosis and immunotherapy response in laryngeal squamous cell carcinoma

description: Additional file 4. Supplementary material 3.
DOI: 10.6084/m9.figshare.19860260
title: Additional file 2 of DNA methylation and expression profiles of placenta and umbilical cord blood reveal the characteristics of gestational diabetes mellitus patients and offspring

description: Additional file2: Table S1.1 Quality control table of placenta RRBS data. Table S1.2 Quality control table of umbilical cord blood RRBS data. Table S1.3 Quality control table of placenta RNA-seq data. Table S1.4 Quality control table of umbilical cord blood RNA-seq data. Table S2 The 2779 differential methylation regions of placenta. Table S3 GO pathway enrichment of hyper-DMGs of placenta. Table S4 KEGG pathway enrichment of hyper-DMGs of placenta. Table S5 GO pathway enrichment of hypo-DMGs of placenta. Table S6 KEGG pathway enrichment of hypo-DMGs of placenta. Table S7 Up-regulated differentially expressed genes of placenta. Table S8 Down-regulated differentially expressed genes of placenta. Table S9 GO pathway enrichment of UP-DEGs of placenta. Table S10 KEGG pathway enrichment of UP-DEGs of placenta. Table S11 GO pathway enrichment of DN-DEGs of placenta. Table S12 KEGG pathway enrichment of DN-DEGs of placenta. Table S13 Positive enriched pathways of GSEA for placenta gene expression profile. Table S14 Negative enriched pathways of GSEA for placenta gene expression profile. Table S15 Up-regulated differentially expressed genes of umbilical cord blood. Table S16 Down-regulated differentially expressed genes of umbilical cord blood. Table S17 Positive enriched pathways of GSEA for umbilical cord blood gene expression profile. Table S18 Negative enriched pathways of GSEA for umbilical cord blood gene expression profile.
DOI: 10.6084/m9.figshare.19860260.v1
title: Additional file 2 of DNA methylation and expression profiles of placenta and umbilical cord blood reveal the characteristics of gestational diabetes mellitus patients and offspring

description: Additional file2: Table S1.1 Quality control table of placenta RRBS data. Table S1.2 Quality control table of umbilical cord blood RRBS data. Table S1.3 Quality control table of placenta RNA-seq data. Table S1.4 Quality control table of umbilical cord blood RNA-seq data. Table S2 The 2779 differential methylation regions of placenta. Table S3 GO pathway enrichment of hyper-DMGs of placenta. Table S4 KEGG pathway enrichment of hyper-DMGs of placenta. Table S5 GO pathway enrichment of hypo-DMGs of placenta. Table S6 KEGG pathway enrichment of hypo-DMGs of placenta. Table S7 Up-regulated differentially expressed genes of placenta. Table S8 Down-regulated differentially expressed genes of placenta. Table S9 GO pathway enrichment of UP-DEGs of placenta. Table S10 KEGG pathway enrichment of UP-DEGs of placenta. Table S11 GO pathway enrichment of DN-DEGs of placenta. Table S12 KEGG pathway enrichment of DN-DEGs of placenta. Table S13 Positive enriched pathways of GSEA for placenta gene expression profile. Table S14 Negative enriched pathways of GSEA for placenta gene expression profile. Table S15 Up-regulated differentially expressed genes of umbilical cord blood. Table S16 Down-regulated differentially expressed genes of umbilical cord blood. Table S17 Positive enriched pathways of GSEA for umbilical cord blood gene expression profile. Table S18 Negative enriched pathways of GSEA for umbilical cord blood gene expression profile.
DOI: 10.6084/m9.figshare.19860268
title: Additional file 1 of Unique characteristics of G719X and S768I compound double mutations of epidermal growth factor receptor (EGFR) gene in lung cancer of coal-producing areas of East Yunnan in Southwestern China

description: Additional file 1: Supplementary Table 1. Clinical demography, pathology, regions distrbution and EGFR gene mutation details of all participants.
DOI: 10.6084/m9.figshare.19860268.v1
title: Additional file 1 of Unique characteristics of G719X and S768I compound double mutations of epidermal growth factor receptor (EGFR) gene in lung cancer of coal-producing areas of East Yunnan in Southwestern China

description: Additional file 1: Supplementary Table 1. Clinical demography, pathology, regions distrbution and EGFR gene mutation details of all participants.
DOI: 10.15468/vjt398
title: Renouvellement de l'autorisation d'exploiter de la carrière de Villiers-sur-Seine-Inventaires insectes (Hyménoptères)

description: Inventaire non standardisé
DOI: 10.48577/jpl.itqk2g
title: Using ECOSTRESS to inform pre-burn vegetation conditions for Southern California Wildfires of 2020

description: No abstract available.
DOI: 10.6084/m9.figshare.21957449
title: Phenotypic values of grain size traits of main crop and ratoon rice under two environments

description:   
All the 159 <em>indica</em> rice accessions were planted, with a randomized complete block design, in Wuhan in 2021. This experiment was replicated two times in different fields, namely environments 1 and 2. Each material was planted in one plot with 10 seedlings, row spacing was 16.7 cm × 20 cm, and one line empty between cells. At yellow ripening stage, grain width (GW) (mm), grain length (GL) (mm), and thousand grain weight (TGW) (g) for each accession in mian crop (MC) and ratoon rice (RR) were measured for three times. GL in MC is abbreviated as GL-MC, and it is true for other traits.
DOI: 10.6084/m9.figshare.24054628.v1
title: Additional file 1 of Effects of melatonin on rumen microorganisms and methane production in dairy cow: results from in vitro and in vivo studies

description: Additional file 1: Fig. S1. Schematic diagram of continuous fermentation in vitro.  Fig. S2a. Rumen sampling tube. Fig. S3. Up-regulated metabolites. Fig. S4. Down-regulated metabolites. Fig. S5. Milk lactose and urea nitrogen between groups. Fig.S6. Differences in rumen bacterial at genus level.
DOI: 10.6084/m9.figshare.24054628
title: Additional file 1 of Effects of melatonin on rumen microorganisms and methane production in dairy cow: results from in vitro and in vivo studies

description: Additional file 1: Fig. S1. Schematic diagram of continuous fermentation in vitro.  Fig. S2a. Rumen sampling tube. Fig. S3. Up-regulated metabolites. Fig. S4. Down-regulated metabolites. Fig. S5. Milk lactose and urea nitrogen between groups. Fig.S6. Differences in rumen bacterial at genus level.
DOI: 10.6084/m9.figshare.24054631
title: Additional file 2 of Effects of melatonin on rumen microorganisms and methane production in dairy cow: results from in vitro and in vivo studies

description: Additional file 2: Table S1. Analysis results of melatonin products.
DOI: 10.6084/m9.figshare.24054631.v1
title: Additional file 2 of Effects of melatonin on rumen microorganisms and methane production in dairy cow: results from in vitro and in vivo studies

description: Additional file 2: Table S1. Analysis results of melatonin products.
DOI: 10.21227/mpzc-en85
title: IEEEXtreme 15: Chameleon Walk

description: This dataset contains a total of 1589 submissions, with 6% correct solutions and 28% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/chameleon/ See the included PDF document for details about the original challenge.
DOI: 10.15468/fc5nm4
title: 2021_Parc National du Mercantour_1

description: 2021_PNM_ABC:Parc National du Mercantour
DOI: 10.15468/htkmje
title: 2020_Parc Naturel Régional du Queyras_2

description: 2020_PNR-Queyras_insectes:Parc Naturel Régional du Queyras
DOI: 10.5281/zenodo.10631706
title: Velocity of climate change for North America based on CMIP6 GCMs

description: This dataset represents velocity of climate change for North America, based on Parameter Regression of Independent Slopes Model (PRISM) climate data from the historical normal period, and climate change projections of the Coupled Model Intercomparison Project phase 6 (CMIP6) database corresponding to the 5th and 6th IPCC Assessment Reports for future projections. The data has been prepared for AdaptWest (adaptwest.databasin.org).The velocity of climate change is an analytical concept that can be used to evaluate the exposure of organisms to climate change. As originally proposed, velocity is calculated by dividing the rate of climate change by the rate of spatial climate variability to obtain a speed at which species must migrate over the surface of the earth to maintain constant climate conditions. We provide velocity surfaces for a multivariate PCA implementation that searches for climate matches based on the first 2 axes derived from a PCA of 11 biologically relevant climate variables. Values represent climate velocity in km/yr from the histroical normal period (here 1961-1990) and the relevant future multi-decadal period (2041-2070 or 2071-2100). Areas of no-analog (inbound velocity) and disappearing (outbound velocity) climates are shown as NODATA in the velocity rasters. Values showing the proportion of runs in which a cell was characterized as no-analog or disappearing are given in additional rasters disappearing climate subfolder, filename includes ‘disp’. Typically, the two related rasters (velocity and disappearing climates) would be viewed and analyzed together.
DOI: 10.6084/m9.figshare.19336106
title: Additional file 1 of Cinnamomi Ramulus inhibits the growth of colon cancer cells via Akt/ERK signaling pathways

description: Additional file 1: Table S1. The candidate drug targets of CR.
DOI: 10.6084/m9.figshare.19336106.v1
title: Additional file 1 of Cinnamomi Ramulus inhibits the growth of colon cancer cells via Akt/ERK signaling pathways

description: Additional file 1: Table S1. The candidate drug targets of CR.
DOI: 10.6084/m9.figshare.19336109
title: Additional file 2 of Cinnamomi Ramulus inhibits the growth of colon cancer cells via Akt/ERK signaling pathways

description: Additional file 2: Table S2. The CC-related targets from GEO.
DOI: 10.6084/m9.figshare.19336109.v1
title: Additional file 2 of Cinnamomi Ramulus inhibits the growth of colon cancer cells via Akt/ERK signaling pathways

description: Additional file 2: Table S2. The CC-related targets from GEO.
DOI: 10.6084/m9.figshare.19336112
title: Additional file 3 of Cinnamomi Ramulus inhibits the growth of colon cancer cells via Akt/ERK signaling pathways

description: Additional file 3: Table S3. The potential core targets.
DOI: 10.6084/m9.figshare.19336112.v1
title: Additional file 3 of Cinnamomi Ramulus inhibits the growth of colon cancer cells via Akt/ERK signaling pathways

description: Additional file 3: Table S3. The potential core targets.
DOI: 10.15472/u0vwjb
title: Información morfo métrica y de peso de las tortugas acuáticas y los crocodílidos de la Reserva Natural Bojonawi (Vichada) en la temporada de aguas altas

description: Con el fin de conocer la riqueza de las tortugas acuáticas y crocodílidos de la Reserva Natural Bojonawi (Vichada), se realizaron búsquedas libres (VES) en la estación climática de aguas altas (julio-diciembre) de 2020. Se capturaron 50 individuos, 33 tortugas (Chelidae y Podocnemididae) y 17 individuos de crocodílidos (Alligatoridae), a estos individuos se les tomo información sobre la talla, peso, sexo y estado de desarrollo.
DOI: 10.21227/8250-r404
title: IEEEXtreme 15: Coloring Tiles

description: This dataset contains a total of 491 submissions, with 2% correct solutions and 30% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/coloring-tiles/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.15141861
title: Disparity analyses

description: These datasets are R codes and original input-files used to do analyses related to disparity.<br>
DOI: 10.6084/m9.figshare.11471853
title: MOESM1 of Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

description: Additional file 1 Unobserved drug-target pairs with their inference scores (ranked in the ascending order).
DOI: 10.15468/pkgwqq
title: Life Vison d'Europe et espèces associées - Données de Vison d'Europe par piège-photo, capture ou indices indirects (empreintes...)

description: Les données ont été acquises lors de prospections en Charente-Maritime pour actualiser les cartes de répartition de l'espèce dans le cadre du programme LIFE VISON. Dans les secteurs de présence ,des prospections plus poussées ont été réalisées afin d'augmenter la précision de nos informations et d'arriver à un dénombrement le plus complet possible. Les protocoles sont en général appliqués 5 km de cours d'eau ou sur une surface de 3 à 5km² de marais. Détection indirecte : Détection indirecte par tunnels ou pièges-photos :15 dispositifs sont déployés sur 5 km de cours d'eau ou 3 à 5 km² de marais. Les tunnels et piège-photos sont appâtés pour attirer les petits carnivore. La durée de déploiement est de 15 jours Capture détection : Détection directe par capture dans des cages-pièges : 10 cages sont déployées sur 5 km de cours d'eau ou 3 à 5 km² de marais. Les cages sont appâtées avec du poisson frais pour attirer les carnivores. Les cages sont contrôlées chaque matin pendant les 10 jours de déploiement. Ce protocole est utilisé dans les zones où il n'existe pas de donnée récente de Vison d'Europe. Capture caractérisation : Détection directe par capture dans des cages-pièges : 40 à 50 cages sont déployées sur 5 à 10 km de cours d'eau ou 10 à 15 km² de marais. Les cages sont appâtées avec du poisson frais pour attirer les carnivores. Les cages sont contrôlées chaque matin pendant les 10 jours de déploiement. Ce protocole est utilisé dans les zones où il existe des données récentes de Vison d'Europe.
DOI: 10.15468/a77my5
title: Données de synthèse de Vison d'Europe 2000-2020 - Données de synthèse de Vison d'Europe sur la période 2000-2020

description: Ce jeu de données représente la répartition du Vison d'Europe sur deux périodes : 2000-2009 et 2010-2020. Toutes les données de ce jeu ont été validées par l'OFB et le GREGE. Ce jeu est un jeu de synthèse avec pour chaque maille de présence, une seule donnée validée affichée par période. Les données collectées sont issues d’observations opportunistes, de collisions routières, de piégeage accidentel, de recherches spécifiques via des protocoles de prospection (cages, pièges photographiques, chien de détection, radiopistage, prélèvements génétiques). Chaque donnée à fait l’objet d’une validation par vérification des critères phénotypiques par un référent, ou par analyse génétique.
DOI: 10.15468/djytrh
title: PNA Vison d'Europe - Vison d'Europe. PNA. 2000-2014

description: Ce jeu de données regroupent les données synthétisées et validées dans le cadre du PNA Vison d'Europe. Les données vont du 01/01/2000 au 31/12/2014. Elles ont toutes été validées par un collectif d'expert à la suite de vérifications précises. Ce jeu de données synthétise les données issues de nombreux contributeurs. FAYET M., BELLANGER C., BRESSAN Y., PONS N., PERRAULT A. XX/XXX. 3ème Plan National d’Actions en faveur du Vison d’Europe (Mustela lutreola) 2021-2030.
DOI: 10.6084/m9.figshare.11471865
title: MOESM3 of Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

description: Additional file 3 ∙ Table S1: AUC/Precision/recall/F1-Score values of four classical classifiers when using reliable, pairwise or randomly generated negative samples.∙ Table S2: 1094 drugs researched in this work.∙ Table S3: 1556 targets researched in this work.∙ Table S4: 11,819 validated drug-target interactions.
DOI: 10.6084/m9.figshare.11471865.v1
title: MOESM3 of Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

description: Additional file 3 ∙ Table S1: AUC/Precision/recall/F1-Score values of four classical classifiers when using reliable, pairwise or randomly generated negative samples.∙ Table S2: 1094 drugs researched in this work.∙ Table S3: 1556 targets researched in this work.∙ Table S4: 11,819 validated drug-target interactions.
DOI: 10.6084/m9.figshare.24849654.v4
title: Marketing Mix Modelling (MMM) training and evaluation dataset for a wide cross-section of eCommerce brands (https://www.conjura.com)

description: This data was made public by Conjura (https://www.conjura.com) to support a Marketing Mix Modelling (MMM) meta analysis study. The data can be used to the model the cost of acquiring customers (CAC) and return on advertising spend (ROAS) from a large cross-section of eCommerce brands in order to find robust Bayesian MMM models.
DOI: 10.6084/m9.figshare.11471871
title: MOESM4 of Old drug repositioning and new drug discovery through similarity learning from drug-target joint feature spaces

description: Additional file 4 Supplementary codes and data. The Python codes of the proposed method and the source data.
DOI: 10.25910/jn20-kv68
title: XCAT-CoMBAT training data
DOI: 10.6084/m9.figshare.19336200
title: Additional file 1 of Ethylene-induced potassium transporter AcKUP2 gene is involved in kiwifruit postharvest ripening

description: Additional file 1: Table S1. KT/HAK/KUP transporter genes identified in kiwifruit and their sequence characteristics.
DOI: 10.6084/m9.figshare.19336200.v1
title: Additional file 1 of Ethylene-induced potassium transporter AcKUP2 gene is involved in kiwifruit postharvest ripening

description: Additional file 1: Table S1. KT/HAK/KUP transporter genes identified in kiwifruit and their sequence characteristics.