cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wjhrr2dx8j
title: Gut microbiota modified by mulberry leaf water extract improves T2DM through browning of WAT/BAT activation mediated by SCFAs-AMPK/SIRT1/PGC-1α signaling pathway

description: Background: SCFAs, the principal metabolites produced by gut microbiota, are pivotal regulators of glucose and lipid metabolism and energy metabolism. Mulberry leaf water extract (MLE) improves type 2 diabetes mellitus (T2DM) by modulating gut microbiota, increasing short chain fatty acids (SCFAs), and promoting the browning of white adipose tissue (WAT) and activation of brown adipose tissue (BAT). The causal relationship between the regulation of gut microbiota homeostasis and SCFAs level by MLE and the improvement of T2DM and the exact mechanism remain to be confirmed.
Objective: This study aims to investigate whether the hypoglycemic effect of gut microbiota regulated by MLE is related to browning of WAT/BAT activation mediated by SCFAs-AMP-activated protein kinase (AMPK) signaling pathway.
Design: db/db mice treated with and without MLE were used as fecal donors. In addition, db/db mice were administrated with antibiotics to clear gut microbiota, and then received fecal microbiota transplantation (FMT) and supplementation of exogenous SCFAs. Gut microbiota and its metabolite SCFAs were analyzed by 16s rRNA and GC/MS. In addition, gene and protein expressions were verified by qRT-PCR and Western blotting, and insulin (INS) were measured by ELISA. Biochemical Kit measured the concentrations of serum total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), etc.
Results: SCFAs and gut microbiota of mice treated with MLE promoted SCFAs production by increasing the abundance of SCFAs-producing bacteria such as norank_f__Muribaculaceae, Muribaculum, Parabacteroides and Dubosiella. SCFAs and gut microbiota of mice treated with MLE improved glucose and lipid metabolism disorders and alleviated insulin resistance (IR). Moreover, SCFAs activated BAT and induced the browning of inguinal white adipose tissue (IWAT) by increasing the expressions of brown adipocyte marker genes and proteins such as uncoupling protein 1 (UCP1) and beige adipocyte marker genes such as tumor necrosis factor receptor superfamily member 9 (Tnfrsf9/Cd137), thereby promoting mitochondrial biogenesis. Mechanistically, MLE facilitated the activation of BAT and the induction of WAT browning to ameliorate T2DM primarily through the activation of AMP-activated protein kinase (AMPK)/sirtuin 1 (SIRT1)/peroxisome proliferator-activated receptor-gamma coactivator 1α (PGC-1α) signaling pathway.
Conclusions: MLE can regulate gut microbiota homeostasis and SCFAs levels, restore SCFAs and mediate AMPK signaling pathway to normal, promote browning of WAT/BAT activation, improve glucose and lipid metabolism, and exert hypoglycemic, lipid-lowering effects and improve IR. The mechanism is related to browning of WAT/BAT activation mediated by SCFAs-AMPK/SIRT1/PGC-1α signaling pathway.
DOI: 10.17632/wjhrr2dx8j.1
title: Gut microbiota modified by mulberry leaf water extract improves T2DM through browning of WAT/BAT activation mediated by SCFAs-AMPK/SIRT1/PGC-1α signaling pathway

description: Background: SCFAs, the principal metabolites produced by gut microbiota, are pivotal regulators of glucose and lipid metabolism and energy metabolism. Mulberry leaf water extract (MLE) improves type 2 diabetes mellitus (T2DM) by modulating gut microbiota, increasing short chain fatty acids (SCFAs), and promoting the browning of white adipose tissue (WAT) and activation of brown adipose tissue (BAT). The causal relationship between the regulation of gut microbiota homeostasis and SCFAs level by MLE and the improvement of T2DM and the exact mechanism remain to be confirmed.
Objective: This study aims to investigate whether the hypoglycemic effect of gut microbiota regulated by MLE is related to browning of WAT/BAT activation mediated by SCFAs-AMP-activated protein kinase (AMPK) signaling pathway.
Design: db/db mice treated with and without MLE were used as fecal donors. In addition, db/db mice were administrated with antibiotics to clear gut microbiota, and then received fecal microbiota transplantation (FMT) and supplementation of exogenous SCFAs. Gut microbiota and its metabolite SCFAs were analyzed by 16s rRNA and GC/MS. In addition, gene and protein expressions were verified by qRT-PCR and Western blotting, and insulin (INS) were measured by ELISA. Biochemical Kit measured the concentrations of serum total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), etc.
Results: SCFAs and gut microbiota of mice treated with MLE promoted SCFAs production by increasing the abundance of SCFAs-producing bacteria such as norank_f__Muribaculaceae, Muribaculum, Parabacteroides and Dubosiella. SCFAs and gut microbiota of mice treated with MLE improved glucose and lipid metabolism disorders and alleviated insulin resistance (IR). Moreover, SCFAs activated BAT and induced the browning of inguinal white adipose tissue (IWAT) by increasing the expressions of brown adipocyte marker genes and proteins such as uncoupling protein 1 (UCP1) and beige adipocyte marker genes such as tumor necrosis factor receptor superfamily member 9 (Tnfrsf9/Cd137), thereby promoting mitochondrial biogenesis. Mechanistically, MLE facilitated the activation of BAT and the induction of WAT browning to ameliorate T2DM primarily through the activation of AMP-activated protein kinase (AMPK)/sirtuin 1 (SIRT1)/peroxisome proliferator-activated receptor-gamma coactivator 1α (PGC-1α) signaling pathway.
Conclusions: MLE can regulate gut microbiota homeostasis and SCFAs levels, restore SCFAs and mediate AMPK signaling pathway to normal, promote browning of WAT/BAT activation, improve glucose and lipid metabolism, and exert hypoglycemic, lipid-lowering effects and improve IR. The mechanism is related to browning of WAT/BAT activation mediated by SCFAs-AMPK/SIRT1/PGC-1α signaling pathway.
DOI: 10.15468/dl.amjbvz
title: Occurrence Download

description: A dataset containing 1809 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-90 -90,0 -90,0 -30,-90 -30,-90 -90))",
 "OccurrenceStatus is Absent",
 "TaxonKey is Leptonychotes weddellii (Lesson, 1826)"
 ]
}

 The dataset includes 1809 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024799-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdveba
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ormosia paniculata Merr.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024800-250310093411724/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.28651736
title: data and code

description: <b>1. project overview</b> <b>Project name:</b> Fourier model algorithm for trajectory data. <b>Introduction: </b>this algorithm model is used to fit the trajectory data. Combined with the road network data, this algorithm regards the trajectory data as a signal that changes dynamically with time, converts it from time domain to frequency domain through Fourier transform, fits the trajectory points in the spectrum domain, and converts the discrete trajectory points into time continuous line elements. <b>Description of development environment: </b>this algorithm model is mainly based on ArcGIS Engine provided by ESRI company in the United States Net framework. <b>Development language used: </b>c#.NET<b>2. system requirements</b> <b>Operating system: </b>windows10 or later <b>Programming environment:</b> Visual Studio 2010 and above, ensure that the correct version of .NET Framework is installed (typically.Net 4.5 or later). <b>Related dependencies and tools: </b>ArcGIS Engine <b>Hardware environment requirements:</b> <b>CPU:</b> multi core processor <b>Memory:</b> at least 4 GB (8 GB or more is recommended) <b>Hard disk space:</b> at least 2 GB of free space <b>Display: </b>display supporting 1024x768 resolution<b>3. use steps</b>1. Detailed installation steps of ArcGIS Engine it is recommended to check the official documentation of ESRI or contact technical support.2. Visual Studio 2010 and above it is recommended to refer to Microsoft's support page or community forum for help.3. From https://doi.org/10.6084/m9.figshare.28151696 Download the compressed package of Fourier trajectory.rar software from the website, and decompress the package to generate the Fourier trajectory directory.4. In the visual studio development environment, open the Fourier trajectory.sln project under the Fourier trajectory directory to open the development package of the Fourier model algorithm for trajectory data.5. After opening the project for compilation, click "attach to process" on the "tools" menu bar on the development interface , the attach to process interface pops up, and select the ArcMap.exe process from the available processes . At this time, the debugging right of the program is handed over to the ArcMap process.6. In the ArcMap working interface of ArcGIS, select the layer to be fitted on the layer (as shown by the blue arrow in figure.1), and then click the "Fourier fitting" control (as shown by the red arrow in figure.1) to call the Fourier fitting module. The form of calling the Fourier module is selected by the user.
DOI: 10.6084/m9.figshare.28651736.v1
title: data and code

description: <b>1. project overview</b> <b>Project name:</b> Fourier model algorithm for trajectory data. <b>Introduction: </b>this algorithm model is used to fit the trajectory data. Combined with the road network data, this algorithm regards the trajectory data as a signal that changes dynamically with time, converts it from time domain to frequency domain through Fourier transform, fits the trajectory points in the spectrum domain, and converts the discrete trajectory points into time continuous line elements. <b>Description of development environment: </b>this algorithm model is mainly based on ArcGIS Engine provided by ESRI company in the United States Net framework. <b>Development language used: </b>c#.NET<b>2. system requirements</b> <b>Operating system: </b>windows10 or later <b>Programming environment:</b> Visual Studio 2010 and above, ensure that the correct version of .NET Framework is installed (typically.Net 4.5 or later). <b>Related dependencies and tools: </b>ArcGIS Engine <b>Hardware environment requirements:</b> <b>CPU:</b> multi core processor <b>Memory:</b> at least 4 GB (8 GB or more is recommended) <b>Hard disk space:</b> at least 2 GB of free space <b>Display: </b>display supporting 1024x768 resolution<b>3. use steps</b>1. Detailed installation steps of ArcGIS Engine it is recommended to check the official documentation of ESRI or contact technical support.2. Visual Studio 2010 and above it is recommended to refer to Microsoft's support page or community forum for help.3. From https://doi.org/10.6084/m9.figshare.28151696 Download the compressed package of Fourier trajectory.rar software from the website, and decompress the package to generate the Fourier trajectory directory.4. In the visual studio development environment, open the Fourier trajectory.sln project under the Fourier trajectory directory to open the development package of the Fourier model algorithm for trajectory data.5. After opening the project for compilation, click "attach to process" on the "tools" menu bar on the development interface , the attach to process interface pops up, and select the ArcMap.exe process from the available processes . At this time, the debugging right of the program is handed over to the ArcMap process.6. In the ArcMap working interface of ArcGIS, select the layer to be fitted on the layer (as shown by the blue arrow in figure.1), and then click the "Fourier fitting" control (as shown by the red arrow in figure.1) to call the Fourier fitting module. The form of calling the Fourier module is selected by the user.
DOI: 10.15468/dl.kgkap8
title: Occurrence Download

description: A dataset containing 7732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Mikania micrantha Kunth",
 "Year 1991-2024"
 ]
}

 The dataset includes 7732 records from 62 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024803-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.12770/36301f2c-0a2b-4c64-bd81-aaa370366d4a
title: Probable habitats of two cold-water coral species (suitability &gt; 70%), in the Lacaze-Duthiers Canyon

description: This dataset is the result of habitat suitability modeling in the Lacaze-Duthiers Canyon at a 5-meter resolution. Two cold-water coral species were considered: Madrepora oculata and Desmophyllum pertusum (syn. Lophelia pertusa). The overlap between both species was also analyzed.
This dataset is produce in the framework of the European H2020 project REDRESS (Restoration of Deep-Sea Habitats to Rebuild European Seas https://redress-project.eu/ Grant Agreement No 101135492).
This dataset is related to the article “Mapping and Conservation of Cold-Water Corals in the Lacaze-Duthiers Canyon for Transboundary Management” submitted to Mediterranean Marine Science by Fabri et al. in 2025.
DOI: 10.15468/dl.arqed8
title: Occurrence Download

description: A dataset containing 3896 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agrilus planipennis Fairmaire, 1888"
 ]
}

 The dataset includes 3896 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024802-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k86zdq
title: Occurrence Download

description: A dataset containing 10189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.72347220935989 48.25294862995342, 16.843783345192094 48.245541735527915, 16.864157859537844 48.39502192930059, 16.743493712940417 48.40245418236644, 16.72347220935989 48.25294862995342))"
 ]
}

 The dataset includes 10189 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024804-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u6xqk5
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ormosia paraensis Ducke)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 326 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024805-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.df0pygie
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.11588/data/0lu7h5
title: [Ergänzungsdaten zu: Der bandkeramische Fundplatz Arnoldsweiler-Ellebach (Rheinische Ausgrabungen, Bd. 85)]

description: Im Rahmen zweier Dissertationen wurden die Teilbereiche des linearbandkeramischen Fundplatzes Arnoldsweiler-Ellebach im Rheinland umfassend untersucht. Im Zentrum standen die Analyse der Siedlung mit Brunnen und Wasserentnahmestellen, der Grabenanlage sowie des Gräberfeldes mit Knochenerhaltung. Auch die Funde (Keramik, Silex- und Felsgesteinartefakte) waren Gegenstand der Arbeiten. Eines der Ziele war es, die Befunde und Funde systematisch vorzulegen und auszuwerten. Auf diese Weise sollte sich Themen wie bspw. der Siedlungsentwicklung, der Wasserversorgung oder der Zusammensetzung einer bestattenden Gemeinschaft genähert werden. Die mit diesem digitalen Anhang bereitgestellten Dateien stellen die erfassten Daten (in mit vergleichbaren Arbeiten kompatiblen Formblättern), Datentabellen zu durchgeführten Analysen sowie Auswertungstabellen dar.
DOI: 10.6084/m9.figshare.28651724
title: Supplemental Datasets from DOI: 10.1128/msystems.00312-22 Apex-predator nematodes and meso-predator bacteria consume their basal insect prey through discrete stages of chemical transformations

description: Supplementary Data for published manuscript. 10.1128/msystems.00312-22 describing the trophic levels of the nematode Steinernema carpocapsae, its mutualist bacterium, Xenorhabdus nematophila, and the insects they infect (File S1), as well the regulatory transcriptomes of the bacterium (File S2) and metabolomics of insect bioconversion to nematode and bacterium biomass (File S3).
DOI: 10.6084/m9.figshare.28651724.v1
title: Supplemental Datasets from DOI: 10.1128/msystems.00312-22 Apex-predator nematodes and meso-predator bacteria consume their basal insect prey through discrete stages of chemical transformations

description: Supplementary Data for published manuscript. 10.1128/msystems.00312-22 describing the trophic levels of the nematode Steinernema carpocapsae, its mutualist bacterium, Xenorhabdus nematophila, and the insects they infect (File S1), as well the regulatory transcriptomes of the bacterium (File S2) and metabolomics of insect bioconversion to nematode and bacterium biomass (File S3).
DOI: 10.15468/dl.9656hs
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ormosia penangensis Ridl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024806-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9v2tn
title: Occurrence Download

description: A dataset containing 612 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Graptemys pulchra Baur, 1893"
 ]
}

 The dataset includes 612 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024807-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48425/xwega218
title: S_ungulates_abundance_adventdalen_summer

description: Annual census of the Svalbard reindeer population in Adventdalen to estimate the population abundance (sex and age distribution) from 1979 to 2024. The study area for this reindeer census includes the main valley Adventdalen, including adjacent mountain plateaus and side valleys (see map in protocol).

The dataset includes two types of files:

One data file per year (_YEAR.txt)
One readme file with additional information (_readme.pdf)
DOI: 10.15468/dl.x6n32w
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ormosia semicastrata Hance)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 164 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024809-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7pjre
title: Occurrence Download

description: A dataset containing 550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Datura discolor Bernh.",
 "Year 1970-2000"
 ]
}

 The dataset includes 550 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024812-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6by74
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Russian Federation, China, Kazakhstan, Mongolia)",
 "TaxonKey is Capra ibex Linnaeus, 1758"
 ]
}

 The dataset includes 75 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024811-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyyxsg
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma mexicanum (Shaw & Nodder, 1798)",
 "Year 1970-2000"
 ]
}

 The dataset includes 102 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024813-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ta3vcy
title: Occurrence Download

description: A dataset containing 267129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ctenopharyngodon idella (Valenciennes, 1844), Cyprinus carpio Linnaeus, 1758)",
 "HasCoordinate is true",
 "DecimalLatitude is less than 60",
 "DecimalLatitude is greater than -56",
 "DecimalLongitude is less than 180",
 "DecimalLongitude is greater than -145"
 ]
}

 The dataset includes 267129 records from 868 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024798-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3092137/2558607
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092138/2558608
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092139/2558609
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092140/2558610
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092141/2558611
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092147/2558612
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092148/2558613
title: Data for EMSL Project 60201 from April 2024
DOI: 10.15468/dl.9qkpfk
title: Occurrence Download

description: A dataset containing 7710 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistanche"
 ]
}

 The dataset includes 7710 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005399-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6xjcc
title: Occurrence Download

description: A dataset containing 5858 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus grayana"
 ]
}

 The dataset includes 5858 records from 132 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005400-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.