cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tatfm3
title: Occurrence Download

description: A dataset containing 44131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macaca Lacépède, 1799",
 "Year 2000-2024"
 ]
}

 The dataset includes 44131 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050542-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14553690
title: 95028_test
DOI: 10.5281/zenodo.14553691
title: 95028_test
DOI: 10.5281/zenodo.14564175
title: 95028_test
DOI: 10.5281/zenodo.14567826
title: 95028_test
DOI: 10.15468/dl.b9jmbt
title: Occurrence Download

description: A dataset containing 222728 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Investigation Current Status of River in Taiwan between 2002 to 2022"
 ]
}

 The dataset includes 222728 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050540-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10947298
title: Fe-FeH Eutectic Melting Curve and the Estimates of Earth's Core Temperature and Composition
DOI: 10.5281/zenodo.13147582
title: Fe-FeH Eutectic Melting Curve and the Estimates of Earth's Core Temperature and Composition
DOI: 10.5281/zenodo.10947297
title: Fe-FeH Eutectic Melting Curve and the Estimates of Earth's Core Temperature and Composition
DOI: 10.5281/zenodo.14027723
title: Fe-FeH Eutectic Melting Curve and the Estimates of Earth's Core Temperature and Composition
DOI: 10.15468/dl.vvzvmr
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leptobrachium lumadorum Brown, Siler, Diesmos & Alcala, 2010",
 "Year 1950-2024"
 ]
}

 The dataset includes 132 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050543-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79jkwr
title: Occurrence Download

description: A dataset containing 18248 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "PublishingOrg is one of (7d91f9bd-f6cd-48e3-ba81-3c228cf5e13a)",
 "StateProvince is one of (valle del cauca)"
 ]
 }
 ]
}

 The dataset includes 18248 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050544-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14564284
title: Sample data for YASA Python library

description: YASA (Yet Another Spindle Algorithm) is a Python package to analyze polysomnographic sleep recordings. This Zenodo repository holds data files used in YASA tests, examples, and tutorials from the online documentation and GitHub repository.
DOI: 10.5281/zenodo.14564285
title: Sample data for YASA Python library

description: YASA (Yet Another Spindle Algorithm) is a Python package to analyze polysomnographic sleep recordings. This Zenodo repository holds data files used in YASA tests, examples, and tutorials from the online documentation and GitHub repository.
DOI: 10.15468/dl.vexz92
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Lampronycteris brachyotis (Dobson, 1879)"
 ]
}

 The dataset's 2 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050545-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jv7mtu
title: Occurrence Download

description: A dataset containing 4779 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((65 20,135 20,135 60,65 60,65 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Betula chinensis Maxim., Betula dahurica Pall., Betula tianschanica Rupr., Betula pubescens Ehrh., Betula rotundifolia Spach)"
 ]
}

 The dataset includes 4779 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050546-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w35rgh
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxus wallichiana var. mairei (Lemée & Lév.) L.K.Fu & Nan Li",
 "Year 1950-2024"
 ]
}

 The dataset includes 244 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050547-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8mutx5
title: Occurrence Download

description: A dataset containing 72108 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "PublishingOrg is one of (85be57ed-f187-49c9-b7ff-eaa622e06217)",
 "StateProvince is one of (valle del cauca)"
 ]
 }
 ]
}

 The dataset includes 72108 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050548-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj2hpp
title: Occurrence Download

description: A dataset containing 87796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ghana",
 "Geometry POLYGON((-3.26372 5.11923,-1.97721 4.78114,0.95949 5.75354,1.19845 6.1432,0.98313 6.3263,0.71715 6.49529,0.76947 6.58626,0.64302 6.62091,0.66046 6.72052,0.54273 6.81145,0.53837 6.96296,0.59506 7.02788,0.65753 7.32101,0.62917 7.41611,0.55893 7.40004,0.52787 7.45629,0.53063 7.58747,0.60338 7.62509,0.58915 7.71288,0.63027 7.70504,0.63502 7.80064,0.59154 7.96823,-2.71288 8.01549,-2.97439 7.36761,-3.31434 6.74476,-3.16813 6.2328,-3.03286 5.6654,-2.7388 5.61858,-2.77203 5.33741,-2.73891 5.1243,-3.23315 5.13953,-3.26372 5.11923))",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta",
 "Year 1960-2024"
 ]
}

 The dataset includes 87796 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050549-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cug68z
title: Occurrence Download

description: A dataset containing 3231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((65 20,79.63175 20,135 20,135 60,65 60,65 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Betula luminifera H.J.P.Winkl., Betula alnoides Buch.-Ham. ex D.Don)"
 ]
}

 The dataset includes 3231 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050550-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ewjkpf
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "TaxonKey is Kinosternon steindachneri Siebenrock, 1906",
 "Year 2000-2024"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050551-241126133413365/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.28104779
title: Fertility Rates in Mexico by State (1950–2070)

description: This project provides a comprehensive dataset of total fertility rates (TFR) and age-specific fertility rates (ASFR) for Mexico, covering the period from 1950 to 2070. The data is broken down by year, state, and age group, and includes key metrics such as total births and the total female population for each age group.In addition to the dataset, the project includes:A Python script designed to generate visualizations, such as the attached dumbbell chart, which compares TFR across time for individual states.A <code>requirements.txt</code> file specifying the necessary Python libraries for running the script.Both the population and birth data were sourced from the National Population Council of Mexico (CONAPO). The population data can be found here, and the birth data here.The attached dumbbell chart demonstrates TFR changes from 1970 to 2024, offering a clear visualization of fertility trends over time at the state level.This dataset and accompanying tools are valuable resources for demographic research, public policy analysis, and social studies focused on fertility trends and population dynamics in Mexico.
DOI: 10.6084/m9.figshare.28104770
title: DiffMF

description: Code, dataset, and pre-trained models
DOI: 10.6084/m9.figshare.28104770.v1
title: DiffMF

description: Code, dataset, and pre-trained models
DOI: 10.15468/dl.csxere
title: Occurrence Download

description: A dataset containing 399599 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (COL.19_2)",
 "TaxonKey is one of (Aves)"
 ]
 }
 ]
}

 The dataset includes 399599 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050553-241126133413365/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.28104785
title: gene sequencing

description: Giải trình tự gen
DOI: 10.6084/m9.figshare.28104785.v1
title: gene sequencing

description: Giải trình tự gen
DOI: 10.5281/zenodo.10520021
title: Spotiphy enables single-cell spatial whole transcriptomics across the entire section

description: Spatial transcriptomics (ST) has advanced our understanding of tissue regionalization by enabling the visualization of gene expression within whole tissue sections, but the approach remains dogged by the challenge of achieving single-cell resolution without sacrificing whole genome coverage. Here we present Spotiphy (Spot imager with pseudo single-cell resolution histology), a novel computational toolkit that transforms sequencing-based ST data into single-cell-resolved whole-transcriptome images. In evaluations with Alzheimer’s disease (AD) and normal mouse brains, Spotiphy delivers the most precise cellular compositions. For the first time, Spotiphy reveals novel astrocyte regional specification in mouse brains. It distinguishes sub-populations of DAM (Disease-Associated Microglia) located in different AD mouse brain regions. Spotiphy also identifies multiple spatial domains as well as changes in the patterns of tumor-tumor microenvironment interactions using human breast ST data. Spotiphy enables visualization of cell localization and gene expression in tissue sections, offering key insights into the function of complex biological systems.
DOI: 10.5281/zenodo.10520022
title: Spotiphy enables single-cell spatial whole transcriptomics across the entire section

description: Spatial transcriptomics (ST) has advanced our understanding of tissue regionalization by enabling the visualization of gene expression within whole tissue sections, but the approach remains dogged by the challenge of achieving single-cell resolution without sacrificing whole genome coverage. Here we present Spotiphy (Spot imager with pseudo single-cell resolution histology), a novel computational toolkit that transforms sequencing-based ST data into single-cell-resolved whole-transcriptome images. In evaluations with Alzheimer’s disease (AD) and normal mouse brains, Spotiphy delivers the most precise cellular compositions. For the first time, Spotiphy reveals novel astrocyte regional specification in mouse brains. It distinguishes sub-populations of DAM (Disease-Associated Microglia) located in different AD mouse brain regions. Spotiphy also identifies multiple spatial domains as well as changes in the patterns of tumor-tumor microenvironment interactions using human breast ST data. Spotiphy enables visualization of cell localization and gene expression in tissue sections, offering key insights into the function of complex biological systems.
DOI: 10.15468/dl.3ecp7f
title: Occurrence Download

description: A dataset containing 2571 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "TaxonKey is Kinosternon subrubrum Bonnaterre, 1789",
 "Year 2000-2024"
 ]
}

 The dataset includes 2571 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050554-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wm536
title: Occurrence Download

description: A dataset containing 2731852 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (valle del cauca)"
 ]
}

 The dataset includes 2731852 records from 701 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050552-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10909228
title: Dataset to: Journal of Applied Ecology JAPPL-2024-00400

description: For reviewing process.
DOI: 10.5281/zenodo.10909229
title: Dataset fo: Assessing the impact of Landcover change on Soil Organic Carbon Stocks in Chile: Implications for terrestrial ecosystems and conservation policies

description: Dataset fo: Assessing the impact of Landcover change on Soil Organic Carbon Stocks in Chile: Implications for terrestrial ecosystems and conservation policies.

 

ABSTRACT

Understanding the dynamics of soil organic carbon (SOC) is essential for comprehending the global carbon cycle and ensuring the functioning of soils and terrestrial ecosystems. This study accounted for the interplay between human activities, specifically through the effects of landcover, upon the distribution of (SOC), particularly focusing on Chilean terrestrial ecosystems and protected areas. We combined random forest modeling with remote sensing variables to analyze SOC content (%) and volumetric stocks across landcover types, categorizing them as low-impact and high-impact. Our results show that approximately 1.6 billion Mg of SOC is distributed across Chile's terrestrial ecosystems, with almost 80% concentrated within the low-impact landcover category and in temperate forests. However, the latter distribution is uneven, and the remaining 20% of SOCs are primarily present within the Sclerophyllous Forest, a highly threatened ecosystem. Furthermore, our assessment of SOCs in protected areas highlights the importance of public lands in conserving SOC, with public areas containing over four times more SOCs than private areas. Our results are invaluable in identifying in situ conservation priorities, such as identifying threatened ecosystems and addressing critical gaps regarding the protected areas system. By offering new inputs to model and identify areas prone to soil degradation and SOC loss, our study contributes to national and international soil-related policies advancing efforts to safeguard SOC, and improve soil conservation and restoration initiatives. 

 

Keywords: Carbon sequestration, Chile, ecosystem management, irreplaceable carbon, remote sensing, soil conservation
DOI: 10.5281/zenodo.14567878
title: Dataset to: Journal of Applied Ecology JAPPL-2024-00400

description: For reviewing process.
DOI: 10.6084/m9.figshare.28104813
title: Modeling and interaction study of alcohol oxidase and ProteaseA in methylotrophic yeast <i>C. boidinii</i>: insights from In-silico analysis

description: Flavin adenine nucleotide (FAD)-dependent oxidoreductase enzyme Alcohol oxidase (AOX) facilitates the growth of methylotrophic yeast C. boidinii by catabolizing methanol, producing formaldehyde and hydrogen peroxide. Vacuolar Protease-A (PrA) from C. boidinii is responsible for the proteolytic activity of AOX. However, no experimental structures for these enzymes have been reported. This in-silico study involves modeling and interaction analysis of AOX and PrA. A protein-protein interaction study shows that Thr75, Gly74, Arg72, Tyr73, and Met289 amino acids of PrA have shown interaction with AOX. These residues may be crucial for AOX proteolysis. An in-silico study predicts that serine protease inhibitors bind to specific amino acids, potentially obstructing PrA’s degradable activity on AOX. PrA does not interact with the FAD binding sites in AOX. Instead, it interacts with AOX at sites (Ser337, Ala34, and Tyr343) where AOX monomers interact, hindering octamer formation the active form of AOX. During simulation, strong dynamics in PrA were found in the loop regions of the structure, as observed in the complexes. This in-silico work aims to corroborate the experimental research, which lacks structural studies on the proteolysis process.
DOI: 10.6084/m9.figshare.28104813.v1
title: Modeling and interaction study of alcohol oxidase and ProteaseA in methylotrophic yeast <i>C. boidinii</i>: insights from In-silico analysis

description: Flavin adenine nucleotide (FAD)-dependent oxidoreductase enzyme Alcohol oxidase (AOX) facilitates the growth of methylotrophic yeast C. boidinii by catabolizing methanol, producing formaldehyde and hydrogen peroxide. Vacuolar Protease-A (PrA) from C. boidinii is responsible for the proteolytic activity of AOX. However, no experimental structures for these enzymes have been reported. This in-silico study involves modeling and interaction analysis of AOX and PrA. A protein-protein interaction study shows that Thr75, Gly74, Arg72, Tyr73, and Met289 amino acids of PrA have shown interaction with AOX. These residues may be crucial for AOX proteolysis. An in-silico study predicts that serine protease inhibitors bind to specific amino acids, potentially obstructing PrA’s degradable activity on AOX. PrA does not interact with the FAD binding sites in AOX. Instead, it interacts with AOX at sites (Ser337, Ala34, and Tyr343) where AOX monomers interact, hindering octamer formation the active form of AOX. During simulation, strong dynamics in PrA were found in the loop regions of the structure, as observed in the complexes. This in-silico work aims to corroborate the experimental research, which lacks structural studies on the proteolysis process.
DOI: 10.15468/dl.yus5c6
title: Occurrence Download

description: A dataset containing 397509 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "StateProvince ~La Guajira",
 "StateProvince is la guajira",
 "StateProvince is la guajira department",
 "StateProvince is la guajira dept.",
 "StateProvince is la guajira ?",
 "StateProvince is la guajira dept",
 "StateProvince is la guajira province"
 ]
 },
 "TaxonKey is one of (Aves)",
 "GadmGid is one of (COL.19_2)"
 ]
 }
 ]
}

 The dataset includes 397509 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050555-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.btbst9
title: Occurrence Download

description: A dataset containing 2081 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Hylopezus macularius (Temminck, 1830)"
 ]
}

 The dataset includes 2081 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050557-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as46e4
title: Occurrence Download

description: A dataset containing 2509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((65 20,79.63175 20,135 20,135 60,65 60,65 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Betula rotundifolia Spach, Betula pubescens Ehrh.)"
 ]
}

 The dataset includes 2509 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050558-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbq88k
title: Occurrence Download

description: A dataset containing 11912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((65 20,135 20,135 60,65 60,65 20))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Betula utilis D.Don, Betula platyphylla Sukaczev, Betula luminifera H.J.P.Winkl., Betula chinensis Maxim., Betula dahurica Pall., Betula tianschanica Rupr.)"
 ]
}

 The dataset includes 11912 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050560-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13369465
title: Electron Beam-Induced Artifacts in SEI Characterization: Evidence from Controlled-Dose Diffraction Studies (datasets)

description: The paper has been published, and the data were updated following the revision. The dataset is now publicly available. All data are in DM4 format, and we recommend using Py4DSTEM or other tools after processing them to h5 format.
DOI: 10.5281/zenodo.13369466
title: Electron Beam-Induced Artifacts in SEI Characterization: Evidence from Controlled-Dose Diffraction Studies (datasets)

description: This is data set for article submission and data will be publicly available upon publication.
DOI: 10.5281/zenodo.14567885
title: FIG DATA

description: This excel file records data on streamers, leaders, and breakdown voltages and so on for a laboratory simulation of a lightning strike on ancient buildings.
DOI: 10.5281/zenodo.14567886
title: FIG DATA

description: This excel file records data on streamers, leaders, and breakdown voltages and so on for a laboratory simulation of a lightning strike on ancient buildings.