cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/e1kd-w761
title: Learning with Label Proportions on Sentinel-2 RGB imagery 

description: BENELUX Region of Interest (ROI) , comprised of the Belgium, the Netherlands and LuxembourgWe use the communes administrative division which is standardized across Europe by EUROSTAT at:https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-unitsThis is roughly equivalent to the notion municipalities in most countries.From the link above, communes definition are taken from COMM_RG_01M_2016_4326.shp and country bordersare taken from NUTS_RG_01M_2021_3035.shp.COLOMBIA-NE Region of Interest (ROI) is comprised of the east - northeast region of Colombia coveringparts of Santander, Norte de Santander, Boyacá, Bolívar, Antioquia and Cundinamarca.We use the communes administrative division defined by DANE (Departamento AdministrativoNacional de Estadística) under "municipios" in the MGN2021 at https://geoportal.dane.gov.co/geovisores/territorio/mgn-marco-geoestadistico-nacional/ images: Sentinel2 RGB from 2020-01-01 to 2020-31-12        filtered out pixels with clouds during the observation period according to QA60 band following the example        given in GEE dataset info page, and took the median of the resulting pixels        see https://developers.google.com/earth-engine/datasets/catalog/COPERNICUS_S2_SR_HARMONIZED        see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/sentinel2rgbmedian2020.pylabels: ESA WorldCover 10m V100        labels mapped to the interval [1,11] according to the following map        { 0:0, 10: 1, 20:2, 30:3, 40:4, 50:5, 60:6, 70:7, 80:8, 90:9, 95:10, 100:11 }        pixel value zero is reserved for invalid data.        see https://developers.google.com/earth-engine/datasets/catalog/ESA_WorldCover_v100                see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/esaworldcover.pylabels: Global Human Settlement Layers, Population Grid 2015        labels range from 0 to 31, with the following meaning:           label value     original value in GEE dataset           0               0           1               1-10           2               11-20           3               21-30           ...           31              &gt;=291         see https://developers.google.com/earth-engine/datasets/catalog/JRC_GHSL_P2016_POP_GPW_GLOBE_V1        see also https://github.com/rramosp/geetiles/blob/main/geetiles/defs/humanpop2015.py
DOI: 10.34848/yn1crt/8ohrt0
title: Sistemas de decisión automatizada en el sector público colombiano v. 1.0.xlsx

description: Base de datos de sistemas de decisión automatizada en el sector público colombiano
DOI: 10.34848/yn1crt/tozl4m
title: Libro de Códigos SDA en el Estado Colombiano v1.0.pdf

description: Libro de Códigos de la base de datos "Sistemas de decisión automatizada en el sector público colombiano".
DOI: 10.34848/yn1crt
title: Sistemas de decisión automatizada en el sector público colombiano

description: Esta base de datos es un repositorio de sistemas de decisión automatizada (SDA) que han sido adoptados por el sector público colombiano. Esta base de datos caracteriza 113 sistemas computacionales usados para automatizar los procesos de toma de decisiones de las entidades públicas colombianas o para apoyar dichos procesos. Se incluyen 40 variables con información sobre los siguientes cinco componentes: (i) información básica sobre cada uno de los 113 SDA, donde se incluye, nombre del sistema o proyecto, datos de la entidad pública que lo implementa, principales objetivos, estado del sistema, entre otros; (ii) preguntas sobre el tipo de información que requiere, incluido si utiliza o no datos personales; (iii) información sobre el financiador o financiadores del proyecto, además de las cuantías, de donde provienen los recursos; (iv) clasificación del SDA según el tipo de sistema (OCDE) y según los Objetivos de Desarrollo Sostenible (ODS); y, (v) información sobre las fuentes primarias y secundarias de la información usada para documentar cada sistema. Para la construcción de la base de datos se recopilaron más de 300 fuentes de información, incluidas las bases de datos y repositorios públicos preexistentes e información primaria publicada por las entidades públicas en sus informes de gestión anual, reportes de prensa, páginas web y redes sociales. También se consultaron fuentes secundarias tales como, literatura académica, literatura producida por organizaciones multilaterales y de la sociedad civil, información periodística, e información publicada por empresas. También se incluye el "Libro de Códigos" que describe el conjunto de datos del repositorio.
DOI: 10.6084/m9.figshare.23312090
title: <strong>Self-powered enzyme-linked microneedle patch for scar-prevention healing of diabetic wounds-</strong>original data file.xlsx

description: Diabetic wounds with complex pathological features and difficult-to-heal nature remain a formidable challenge. To address this challenge, we design and fabricate a self-powered enzyme-linked microneedle (MN) patch composed of anode and cathode MN arrays, which respectively contain glucose oxidase (GOx) and horseradish peroxidase (HRP) encapsulated in ZIF-8 nanoparticles. The enzymatic cascade reaction in the MN patch can effectively reduce local hyperglycemia in diabetic wounds while generating stable microcurrents to promote rapid healing of diabetic wounds. Therefore, the diabetic wounds treated with this MN patch exhibit rapid, complete, and scar-prevention healing, which can be attributed to the synergistic actions of hypoglycemic, antibacterial, anti-inflammatory, and bioelectrical stimulation. In brief, the self-powered MN patch is an effective method to rapidly promote diabetic wound healing and prevent scar formation. <strong>Fig. 3.</strong> <strong>Antibacterial test of the synthesized materials. </strong> <strong>Fig. 4.</strong> <strong>Biocompatibility of the MN patches. </strong> <strong>Fig. 5 The healing effect evaluation of the diabetic wound. </strong> <strong>Fig.</strong> <strong>7.</strong> <strong>Evaluation for</strong> <strong>inflammatory factors on the 21st day. </strong> <strong>Fig. 8.</strong> <strong>Evaluation for CD31, CD34, and MMP9. Fig.</strong> <strong>S2.</strong> <strong>Characterization of the synthesized materials.</strong> <strong>Fig.</strong> <strong>S4.</strong> <strong>Current output of the ZGH-MN. </strong> <strong>Fig.</strong> <strong>S5.</strong> <strong>Mechanical strength of the MN patches.</strong> <strong>Fig.</strong> <strong>S5.</strong> <strong>Mechanical strength of the MN patches.</strong> <strong>Fig.</strong> <strong>S7.</strong> <strong>Evaluation for Collagen I and Collagen III. </strong> <strong>Fig.</strong> <strong>S8.</strong> <strong>Evaluation for wound inflammatory factors on the 7th day. </strong> <strong>Fig.</strong> <strong>S9.</strong> <strong>Evaluation for anti-inflammatory factors.</strong>
DOI: 10.6084/m9.figshare.23312090.v1
title: <strong>Self-powered enzyme-linked microneedle patch for scar-prevention healing of diabetic wounds-</strong>original data file.xlsx

description: Diabetic wounds with complex pathological features and difficult-to-heal nature remain a formidable challenge. To address this challenge, we design and fabricate a self-powered enzyme-linked microneedle (MN) patch composed of anode and cathode MN arrays, which respectively contain glucose oxidase (GOx) and horseradish peroxidase (HRP) encapsulated in ZIF-8 nanoparticles. The enzymatic cascade reaction in the MN patch can effectively reduce local hyperglycemia in diabetic wounds while generating stable microcurrents to promote rapid healing of diabetic wounds. Therefore, the diabetic wounds treated with this MN patch exhibit rapid, complete, and scar-prevention healing, which can be attributed to the synergistic actions of hypoglycemic, antibacterial, anti-inflammatory, and bioelectrical stimulation. In brief, the self-powered MN patch is an effective method to rapidly promote diabetic wound healing and prevent scar formation. <strong>Fig. 3.</strong> <strong>Antibacterial test of the synthesized materials. </strong> <strong>Fig. 4.</strong> <strong>Biocompatibility of the MN patches. </strong> <strong>Fig. 5 The healing effect evaluation of the diabetic wound. </strong> <strong>Fig.</strong> <strong>7.</strong> <strong>Evaluation for</strong> <strong>inflammatory factors on the 21st day. </strong> <strong>Fig. 8.</strong> <strong>Evaluation for CD31, CD34, and MMP9. Fig.</strong> <strong>S2.</strong> <strong>Characterization of the synthesized materials.</strong> <strong>Fig.</strong> <strong>S4.</strong> <strong>Current output of the ZGH-MN. </strong> <strong>Fig.</strong> <strong>S5.</strong> <strong>Mechanical strength of the MN patches.</strong> <strong>Fig.</strong> <strong>S5.</strong> <strong>Mechanical strength of the MN patches.</strong> <strong>Fig.</strong> <strong>S7.</strong> <strong>Evaluation for Collagen I and Collagen III. </strong> <strong>Fig.</strong> <strong>S8.</strong> <strong>Evaluation for wound inflammatory factors on the 7th day. </strong> <strong>Fig.</strong> <strong>S9.</strong> <strong>Evaluation for anti-inflammatory factors.</strong>
DOI: 10.34740/kaggle/dsv/5867481
title: Mahanagar Yatayat Dataset
DOI: 10.5519/qd.zy59jp9a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (9081 records)
DOI: 10.25345/c53j39b28
title: MassIVE MSV000092123 - KLF6PODTA-Conditioned media and urine proteomics
title: Tandem mass spectrometry was performed on the supernatant from mouse primary podocytes isolated from KLF6PODTA and NPHS2-rtTA mice (with and without doxycycline) using a label-free proteomic approach. After the cells reached confluency, cells were washed five times with PBS and medium was replaced with phenol-red, insulin-transferrin-selenium (ITS), and serum-free RPMI. After 48 additional hours, supernatant (conditioned media) was harvested and centrifuged for 5 min at 500 g and then for 10 min at 1500 g. Samples were reduced (dithiothreitol), alkylated (iodoacetamide), digested with trypsin, and cleaned using hydrophobic-lypophilic-balance (HLB) pack C-18.
DOI: 10.6084/m9.figshare.17104137
title: Additional file 5 of Alterations of thyroid microbiota across different thyroid microhabitats in patients with thyroid carcinoma

description: Additional file 5: Table S5. The identified genera in each group.
DOI: 10.6084/m9.figshare.17104137.v1
title: Additional file 5 of Alterations of thyroid microbiota across different thyroid microhabitats in patients with thyroid carcinoma

description: Additional file 5: Table S5. The identified genera in each group.
DOI: 10.6084/m9.figshare.22347019
title: Monte Carlo simulation of GHG emissions (CO2 and CH4) in the United States and Canada from 1980s to 2021

description: Monte Carlo simulation of GHG emissions (CO2 and CH4) in the United States and Canada from 1980s to 2021.
DOI: 10.6084/m9.figshare.17104141
title: Additional file 2 of A combined genome-wide association and molecular study of age-related hearing loss in H. sapiens

description: Additional file 2: Excel sheets with the lead SNPs that were associated with hearing difficulty, hearing aid use, speech-in-noise and tinnitus. Columns: CHR = chromosome, SNP = variant ids, either as rsID or in the format CHR_POSITION_ALLELE1_ALLELE2, BP = chromosomal position in basepairs (Genome Reference Consortium Human Build 37, GRCh37), P = P-value for association tests, P.GC_adjusted = P-values after adjusting for genomic inflation (this was only performed for tinnitus), SIGNIFICANT_ASSOCIATION = denotes whether a genome-wide association could be observed after adjusting for the family-wise error rate with Bonferroni-correction (P &lt; 5*10-8), SNPS_IN_CLUMP (N) = the number of associated SNPs that were in linkage disequilibrium with the lead SNPs, CLUMP_COORDS = coordinates for the first and last associated SNPs that were clumped with the lead SNP, CLUMP_SIZE (bp) = the size of the clumped region in basepairs, GENES_IN_CLUMP = genes that were located within each clumped region.
DOI: 10.6084/m9.figshare.22347019.v1
title: Monte Carlo simulation of GHG emissions (CO2 and CH4) in the United States and Canada from 1980s to 2021

description: Monte Carlo simulation of GHG emissions (CO2 and CH4) in the United States and Canada from 1980s to 2021.
DOI: 10.6084/m9.figshare.17104141.v1
title: Additional file 2 of A combined genome-wide association and molecular study of age-related hearing loss in H. sapiens

description: Additional file 2: Excel sheets with the lead SNPs that were associated with hearing difficulty, hearing aid use, speech-in-noise and tinnitus. Columns: CHR = chromosome, SNP = variant ids, either as rsID or in the format CHR_POSITION_ALLELE1_ALLELE2, BP = chromosomal position in basepairs (Genome Reference Consortium Human Build 37, GRCh37), P = P-value for association tests, P.GC_adjusted = P-values after adjusting for genomic inflation (this was only performed for tinnitus), SIGNIFICANT_ASSOCIATION = denotes whether a genome-wide association could be observed after adjusting for the family-wise error rate with Bonferroni-correction (P &lt; 5*10-8), SNPS_IN_CLUMP (N) = the number of associated SNPs that were in linkage disequilibrium with the lead SNPs, CLUMP_COORDS = coordinates for the first and last associated SNPs that were clumped with the lead SNP, CLUMP_SIZE (bp) = the size of the clumped region in basepairs, GENES_IN_CLUMP = genes that were located within each clumped region.
DOI: 10.6084/m9.figshare.22347022
title: GHG emissions of single-point incidents from 2010 to 2021

description: GHG emissions of single-point incidents from 2010 to 2021.
DOI: 10.6084/m9.figshare.22347022.v1
title: GHG emissions of single-point incidents from 2010 to 2021

description: GHG emissions of single-point incidents from 2010 to 2021.
DOI: 10.6084/m9.figshare.22347025
title: Monte Carlo simulation of GHG emissions in the United States from 2010 to 2021

description: Monte Carlo simulation of GHG emissions in the United States from 2010 to 2021.
DOI: 10.6084/m9.figshare.22347025.v1
title: Monte Carlo simulation of GHG emissions in the United States from 2010 to 2021

description: Monte Carlo simulation of GHG emissions in the United States from 2010 to 2021.
DOI: 10.6084/m9.figshare.16946432
title: Additional file 3 of Polygenic risk score across distinct colorectal cancer screening outcomes: from premalignant polyps to colorectal cancer

description: Additional file 3: Tab. S2. Sample size for the distribution of the PRS in cases and controls for each analyzed model.
DOI: 10.6084/m9.figshare.16946432.v1
title: Additional file 3 of Polygenic risk score across distinct colorectal cancer screening outcomes: from premalignant polyps to colorectal cancer

description: Additional file 3: Tab. S2. Sample size for the distribution of the PRS in cases and controls for each analyzed model.
DOI: 10.6084/m9.figshare.7667147
title: miR-375 mediates the CRF signaling pathway to regulate catecholamine biosynthesis by targeting <i>Sp1</i> in porcine adrenal gland

description: Corticotropin-releasing-factor (CRF) is a key regulator of catecholamines (CATs) biosynthesis in the adrenal gland. Furthermore, miR-375 has been confirmed to be localized in the mouse adrenal gland. However, the relationships between miR-375 and CRF in regulating CATs biosynthesis remain to be established. This study was designed to investigate the relationship between CRF and miR-375 in the regulation of CATs biosynthesis in the porcine adrenal gland. Eight adult female pigs (four controls; four injected intracerebroventricularly with 50 μg of CRF) were used for the <i>in vivo</i> experiments in this study. The results showed that miR-375 was exclusively localized in porcine adrenal medullary cells. Functional studies showed that miR-375 negatively regulated CATs synthesis in primary cells by affecting the expression of the CATs synthetases tyrosine hydroxylase (TH), dopamine beta-hydroxylase (DBH), and phenylethanolamine-<i>N</i>-methyltransferase (PNMT). CRF up-regulated the expression of CATs synthetase in primary adrenal medullary cells under basal conditions and upon endogenous miR-375 inhibition; the enhanced effects vanished when cellular miR-375 was overexpressed by transfecting miR-375-mic. CRF decreased the expression of miR-375 both <i>in vivo</i> and <i>in vitro</i>. Our <i>in vitro</i> results showed that CRF significantly decreased the expression of miR-375, perhaps by binding to CRFR1. miR-375 functions by directly binding to the 3′-UTR region of specificity protein 1 (<i>Sp1</i>), which is involved in regulating <i>Th</i> and <i>Dbh</i> expression. These data collectively indicate that miR-375 plays an important role in regulating CATs synthesis and mediates the CRF signaling pathway in porcine adrenal medullary cells.
DOI: 10.6084/m9.figshare.7667147.v2
title: miR-375 mediates the CRF signaling pathway to regulate catecholamine biosynthesis by targeting <i>Sp1</i> in porcine adrenal gland

description: Corticotropin-releasing-factor (CRF) is a key regulator of catecholamines (CATs) biosynthesis in the adrenal gland. Furthermore, miR-375 has been confirmed to be localized in the mouse adrenal gland. However, the relationships between miR-375 and CRF in regulating CATs biosynthesis remain to be established. This study was designed to investigate the relationship between CRF and miR-375 in the regulation of CATs biosynthesis in the porcine adrenal gland. Eight adult female pigs (four controls; four injected intracerebroventricularly with 50 μg of CRF) were used for the <i>in vivo</i> experiments in this study. The results showed that miR-375 was exclusively localized in porcine adrenal medullary cells. Functional studies showed that miR-375 negatively regulated CATs synthesis in primary cells by affecting the expression of the CATs synthetases tyrosine hydroxylase (TH), dopamine beta-hydroxylase (DBH), and phenylethanolamine-<i>N</i>-methyltransferase (PNMT). CRF up-regulated the expression of CATs synthetase in primary adrenal medullary cells under basal conditions and upon endogenous miR-375 inhibition; the enhanced effects vanished when cellular miR-375 was overexpressed by transfecting miR-375-mic. CRF decreased the expression of miR-375 both <i>in vivo</i> and <i>in vitro</i>. Our <i>in vitro</i> results showed that CRF significantly decreased the expression of miR-375, perhaps by binding to CRFR1. miR-375 functions by directly binding to the 3′-UTR region of specificity protein 1 (<i>Sp1</i>), which is involved in regulating <i>Th</i> and <i>Dbh</i> expression. These data collectively indicate that miR-375 plays an important role in regulating CATs synthesis and mediates the CRF signaling pathway in porcine adrenal medullary cells.
DOI: 10.6084/m9.figshare.8191496
title: Depletion of PRDM9 enhances proliferation, migration and chemotaxis potentials in human periodontal ligament stem cells

description: Periodontal ligament mesenchymal stem cells (PDLSCs) are important for periodontal tissue regeneration, but how these cells are regulated remains unclear. PRDM (PRDI-BF1 and RIZ homology domain containing) genes play key roles in cell proliferation and differentiation. The present study aimed to investigate the role of one PRDM gene, PRDM9, in the proliferation, migration and chemotaxis potential of PDLSCs. Cell proliferation was examined on the basis of the cell doubling time, cell counting kit-8 (CCK8) assays, and flow cytometry analysis of the cell cycle. Gene expression was detected by Western blotting and real-time RT-PCR. Scratch migration and Transwell chemotaxis assays were used to analyse cell migration and chemotaxis abilities. Microarray analysis and ChIP assays were used to examine the downstream genes of PRDM9 and the corresponding mechanism. The results showed that knock-down of PRDM9 enhanced cell proliferation by promoting cell cycle progression and rapid transition from the G1 to S phase via downregulation of p21 and p27 and upregulation of cyclin E. Additionally, depletion of PRDM9 increased the migration and chemotaxis potential of PDLSCs. Microarray results showed that 13 genes, including <i>IGFBP5, IFI44L</i>, and <i>POSTN</i>, were upregulated and 34 genes, including PIP, were downregulated after the depletion of PRDM9. Furthermore, we observed that the depletion of PRDM9 promoted the transcription of IGFBP5 by increasing H3K4me3 methylation in the IGFBP5 promoter. These discoveries indicated that depletion of PRDM9 increased the cell proliferation, migration and chemotaxis potential of PDLSCs and revealed important downstream genes.
DOI: 10.6084/m9.figshare.8191496.v1
title: Depletion of PRDM9 enhances proliferation, migration and chemotaxis potentials in human periodontal ligament stem cells

description: Periodontal ligament mesenchymal stem cells (PDLSCs) are important for periodontal tissue regeneration, but how these cells are regulated remains unclear. PRDM (PRDI-BF1 and RIZ homology domain containing) genes play key roles in cell proliferation and differentiation. The present study aimed to investigate the role of one PRDM gene, PRDM9, in the proliferation, migration and chemotaxis potential of PDLSCs. Cell proliferation was examined on the basis of the cell doubling time, cell counting kit-8 (CCK8) assays, and flow cytometry analysis of the cell cycle. Gene expression was detected by Western blotting and real-time RT-PCR. Scratch migration and Transwell chemotaxis assays were used to analyse cell migration and chemotaxis abilities. Microarray analysis and ChIP assays were used to examine the downstream genes of PRDM9 and the corresponding mechanism. The results showed that knock-down of PRDM9 enhanced cell proliferation by promoting cell cycle progression and rapid transition from the G1 to S phase via downregulation of p21 and p27 and upregulation of cyclin E. Additionally, depletion of PRDM9 increased the migration and chemotaxis potential of PDLSCs. Microarray results showed that 13 genes, including <i>IGFBP5, IFI44L</i>, and <i>POSTN</i>, were upregulated and 34 genes, including PIP, were downregulated after the depletion of PRDM9. Furthermore, we observed that the depletion of PRDM9 promoted the transcription of IGFBP5 by increasing H3K4me3 methylation in the IGFBP5 promoter. These discoveries indicated that depletion of PRDM9 increased the cell proliferation, migration and chemotaxis potential of PDLSCs and revealed important downstream genes.