cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24774653
title: Inhibition of AHCY impedes proliferation and differentiation of mouse and human adipocyte progenitor cells

description: S-adenosyl-homocysteine-hydrolase (AHCY) plays an important role in the methionine cycle regulating cellular methylation levels. AHCY has been reported to influence proliferation and differentiation processes in different cell types, e.g. in cancer cells and mouse embryonic stem cells. In the development of adipose tissue, both the proliferation and differentiation of adipocyte progenitor cells (APCs) are important processes, which in the context of obesity are often dysregulated. To assess whether AHCY might also be involved in cell proliferation and differentiation of APCs, we investigated the effect of reduced AHCY activity on human and mouse APCs <i>in vitro</i>. We show that the inhibition of AHCY using adenosine dialdehyde (AdOx) and the knockdown of AHCY using gene-specific siRNAs reduced APC proliferation and number. Inhibition of AHCY further reduced APC differentiation into mature adipocytes and the expression of adipogenic differentiation markers. Global DNA methylation profiling in human APCs revealed that inhibition of AHCY is associated with alterations in CpG methylation levels of genes involved in fat cell differentiation and pathways related to cellular growth. Our findings suggest that AHCY is necessary for the maintenance of APC proliferation and differentiation and inhibition of AHCY alters DNA methylation processes leading to a dysregulation of the expression of genes involved in the regulation of these processes.
DOI: 10.6084/m9.figshare.24774653.v1
title: Inhibition of AHCY impedes proliferation and differentiation of mouse and human adipocyte progenitor cells

description: S-adenosyl-homocysteine-hydrolase (AHCY) plays an important role in the methionine cycle regulating cellular methylation levels. AHCY has been reported to influence proliferation and differentiation processes in different cell types, e.g. in cancer cells and mouse embryonic stem cells. In the development of adipose tissue, both the proliferation and differentiation of adipocyte progenitor cells (APCs) are important processes, which in the context of obesity are often dysregulated. To assess whether AHCY might also be involved in cell proliferation and differentiation of APCs, we investigated the effect of reduced AHCY activity on human and mouse APCs <i>in vitro</i>. We show that the inhibition of AHCY using adenosine dialdehyde (AdOx) and the knockdown of AHCY using gene-specific siRNAs reduced APC proliferation and number. Inhibition of AHCY further reduced APC differentiation into mature adipocytes and the expression of adipogenic differentiation markers. Global DNA methylation profiling in human APCs revealed that inhibition of AHCY is associated with alterations in CpG methylation levels of genes involved in fat cell differentiation and pathways related to cellular growth. Our findings suggest that AHCY is necessary for the maintenance of APC proliferation and differentiation and inhibition of AHCY alters DNA methylation processes leading to a dysregulation of the expression of genes involved in the regulation of these processes.
DOI: 10.6084/m9.figshare.27648883
title: Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis

description: Diabetic nephropathy (DN) and obesity bring a huge burden to society. Obesity plays a crucial role in the progression of type 2 DN, but the pathophysiology remains unclear. Thus, we aimed the explore the association between type 2 DN and obesity using bioinformatics method. The gene expression profiles of type 2 DN (GSE96804) and obesity (GSE94752) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened with the thresholds defined as |log2FC| ≥1 and P&lt;0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Subsequently, a protein-protein interaction network was constructed based on the STRING database. Hub genes were identified, and the co-expression network was constructed. Finally, the hub genes were verified in clinical samples of 24 patients by immunohistochemistry. A total of 17 common DEGs were identified. Finally, two overlapping hub genes were identified (CCL18, C1QC). C1QC has been verified in clinical specimens. Using bioinformatics methods, the present study analyzed the common DEGs and the potential pathogenic mechanisms involved in type 2 DN and obesity. C1QC was the hub gene. Further studies are needed to clarify the specific relationships among C1QC, type 2 DN and obesity.
DOI: 10.6084/m9.figshare.26013917
title: Isolation and adipogenic differentiation of murine mesenchymal stem cells harvested from macrophage-depleted bone marrow and adipose tissue

description: Mouse mesenchymal stem cells (MSCs) provide a resourceful tool to study physiological and pathological aspects of adipogenesis. Bone marrow-derived MSCs (BM-MSCs) and adipose tissue-derived MSCs (ASCs) are widely used for these studies. Since there is a wide spectrum of methods available, the purpose is to provide a focused hands-on procedural guide for isolation and characterization of murine BM-MSCs and ASCs and to effectively differentiate them into adipocytes. Optimized harvesting procedures for murine BM-MSCs and ASCs are described and graphically documented. Since macrophages reside in bone-marrow and fat tissues and regulate the biological behaviour of BM-MSCs and ASCs, we included a procedure to deplete macrophages from the MSC preparations. The identity and stemness of BM-MSCs and ASCs were confirmed by flow cytometry using established markers. Since the composition and concentrations of adipogenic differentiation cocktails differ widely, we present a standardized four-component adipogenic cocktail, consisting of insulin, dexamethasone, 3-isobutyl-1-methylxanthine, and indomethacin to efficiently differentiate freshly isolated or frozen/thawed BM-MSCs and ASCs into adipocytes. We further included visualization and quantification protocols of the differentiated adipocytes. This laboratory protocol was designed as a step-by-step procedure for harvesting murine BM-MSCs and ASCs and differentiating them into adipocytes.
DOI: 10.6084/m9.figshare.26013917.v1
title: Isolation and adipogenic differentiation of murine mesenchymal stem cells harvested from macrophage-depleted bone marrow and adipose tissue

description: Mouse mesenchymal stem cells (MSCs) provide a resourceful tool to study physiological and pathological aspects of adipogenesis. Bone marrow-derived MSCs (BM-MSCs) and adipose tissue-derived MSCs (ASCs) are widely used for these studies. Since there is a wide spectrum of methods available, the purpose is to provide a focused hands-on procedural guide for isolation and characterization of murine BM-MSCs and ASCs and to effectively differentiate them into adipocytes. Optimized harvesting procedures for murine BM-MSCs and ASCs are described and graphically documented. Since macrophages reside in bone-marrow and fat tissues and regulate the biological behaviour of BM-MSCs and ASCs, we included a procedure to deplete macrophages from the MSC preparations. The identity and stemness of BM-MSCs and ASCs were confirmed by flow cytometry using established markers. Since the composition and concentrations of adipogenic differentiation cocktails differ widely, we present a standardized four-component adipogenic cocktail, consisting of insulin, dexamethasone, 3-isobutyl-1-methylxanthine, and indomethacin to efficiently differentiate freshly isolated or frozen/thawed BM-MSCs and ASCs into adipocytes. We further included visualization and quantification protocols of the differentiated adipocytes. This laboratory protocol was designed as a step-by-step procedure for harvesting murine BM-MSCs and ASCs and differentiating them into adipocytes.
DOI: 10.6084/m9.figshare.27648883.v1
title: Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis

description: Diabetic nephropathy (DN) and obesity bring a huge burden to society. Obesity plays a crucial role in the progression of type 2 DN, but the pathophysiology remains unclear. Thus, we aimed the explore the association between type 2 DN and obesity using bioinformatics method. The gene expression profiles of type 2 DN (GSE96804) and obesity (GSE94752) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened with the thresholds defined as |log2FC| ≥1 and P&lt;0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Subsequently, a protein-protein interaction network was constructed based on the STRING database. Hub genes were identified, and the co-expression network was constructed. Finally, the hub genes were verified in clinical samples of 24 patients by immunohistochemistry. A total of 17 common DEGs were identified. Finally, two overlapping hub genes were identified (CCL18, C1QC). C1QC has been verified in clinical specimens. Using bioinformatics methods, the present study analyzed the common DEGs and the potential pathogenic mechanisms involved in type 2 DN and obesity. C1QC was the hub gene. Further studies are needed to clarify the specific relationships among C1QC, type 2 DN and obesity.
DOI: 10.15468/dl.hrphh2
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia santanderensis A.C.Sm."
 ]
}

 The dataset includes 245 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025786-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xe4kma
title: Occurrence Download

description: A dataset containing 25116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NMNH Extant Specimen Records (USNM, US)",
 "Country is Sweden"
 ]
}

 The dataset includes 25116 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025785-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7phpjx
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monacanthus modestus Günther, 1877",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025787-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpngc2
title: Occurrence Download

description: A dataset containing 1264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "Geometry POLYGON((7.87535 41.22059,7.68342 38.82056,10.01481 38.67924,10.20102 41.27164,9.3695 41.32305,7.87535 41.27164,7.87535 41.22059))",
 "HasGeospatialIssue is false",
 "TaxonKey is Orthoptera"
 ]
}

 The dataset includes 1264 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025788-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs433t
title: Occurrence Download

description: A dataset containing 10040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phalacrocorax capillatus (Temminck & Schlegel, 1849)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10040 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025789-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfynpm
title: Occurrence Download

description: A dataset containing 5872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.52756 3.92284,160.47244 3.92284,160.47244 59.07716,22.52756 59.07716,22.52756 3.92284))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hemiculter leucisculus (Basilewsky, 1855)"
 ]
}

 The dataset includes 5872 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025790-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.62qmbw
title: Occurrence Download

description: A dataset listing the 11541 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Equatorial Guinea"
 ]
}

 The dataset's 11541 records were derived from 440 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025766-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uveh3
title: Occurrence Download

description: A dataset containing 1036 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnoperna fortunei"
 ]
}

 The dataset includes 1036 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004030-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.faq8jt
title: Occurrence Download

description: A dataset containing 2075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "TaxonKey is Siren lacertina"
 ]
}

 The dataset includes 2075 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004031-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/ba8-jm8-v65
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sq4-pf3-r1t
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lb1-6qp-jpf
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3sq-mef-wva
title: Sphingidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/94d-60l-6hw
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.84gw2f
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Axis kuhlii"
 ]
}

 The dataset includes 39 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004032-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17461546
title: Ague Cove (LiDAR) - October 17 2025

description: This Digital Elevation Model (DEM) and Contour Model of Dededo, Guam was created from 2138 images taken on October 17 2025, at 220ft AGL, with a DJI Matrice 350 UAV . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.This project was made possible through funding by the following grant(s): NASA Guam EPSCoR  (80NSSC22M0052), NASA Guam Space Grant  (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.5281/zenodo.17461547
title: Ague Cove (LiDAR) - October 17 2025

description: This Digital Elevation Model (DEM) and Contour Model of Dededo, Guam was created from 2138 images taken on October 17 2025, at 220ft AGL, with a DJI Matrice 350 UAV . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.This project was made possible through funding by the following grant(s): NASA Guam EPSCoR  (80NSSC22M0052), NASA Guam Space Grant  (80NSSC20M0039 / UH Subaward: MA1550), and PI-CASC (G19AC00087).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer. Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.3535/hbz-e5x-g8l
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lpl-3xg-heh
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bb7-pff-7f0
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.u2jk3n
title: Occurrence Download

description: A dataset containing 1796005 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Plantae, Poaceae)"
 ]
}

 The dataset includes 1796005 records from 826 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004024-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/nly-dlh-x77
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.8et89t
title: Occurrence Download

description: A dataset containing 327220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 327220 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004007-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/c32-ya7-x9h
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bf8-psr-sr6
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w8n-v77-2eq
title: Noctuidae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rnj-3wy-pmx
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hvv-1l5-63m
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1hw-tpk-gmw
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3y6-s1x-dce
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.h2t33d
title: Occurrence Download

description: A dataset containing 4822166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((45.04722 12.10817,157.42880 12.10817,157.42880 57.10817,45.04722 57.10817,45.04722 12.10817))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2000-2025"
 ]
}

 The dataset includes 4822166 records from 1734 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004009-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.