cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13983463
title: Association of copy number alterations with the immune transcriptomic landscape in cancer

description: This repository contains supplementary materials for the research paper "Association of copy number alterations with the immune transcriptomic landscape in cancer". The materials are organized in the following folders:



00_code: code to reproduce the analysis

01_ica_datasets: transcriptional components, sample mixing matrix activities, and gene set enrichment analysis results of the GPL570, ARCHS4, and TCGA datasets

02_ica_cna_tc: identified CNA-TCs and their captured CNA regions, genomic plots of CNA-TCs

03_ica_immune_tc: identified immune-TCs, list of immune gene sets

04_ica_tc_dataset_overlap: reproducibility results of CNA-TCs and immune-TCs across datasets

05_immune_gene_occurences: frequency of genes with high gene weight in immune-TCs, list potential novel immune involved ORFs

06_projection_immune_tc_datasets: GPL570 and TCGA cancer samples corrected mixing matrix activitiy for CNA-TCs and immune-TCs of the other dataset

07_inferred_cna_profiles: TACNA profiles and CNA burden per cancer sample

08_cna_burden_immune_tc_association: cancer sample associations of CNA burden, individual CNAs, and single gene CNAs with immune-TCs

09_projection_single_cell: cell type activity of immune-TCs in a single-cell tumor immune atlas for precision oncology  

10_projection_spatial_transcriptomics: activity of CNA-TC and immune-TC for each spot in spatial transcriptomic datasets from 10xGenomics
DOI: 10.5281/zenodo.14791442
title: Ice/Water classification maps from study entitled "An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery"

description: This dataset consists of ice/water classified maps from three years of Landsat-8 imagery.

This dataset was used to construct the sea ice concentration map presented in the study: Jung, H-S, Lee, S-M, Kim, J-H, and Lee, K: An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery, Earth Syst. Sci. Data, 17, 233-258, https://doi.org/10.5194/essd-17-233-2025, 2025.

Data naming convention: {Landsat-8 original filename}.nc

Data content:




Name
Dimension
Summary
Flag values


time
time


Reference time of satellite image



 



crs
None
Coordinate reference system
 


X
X
X coordinate of projection
 


Y
Y
Y coordinate of projection
 


classification_map
(Y, X)


Ice/Water classified map



[0, 1, 2] = [water, ice, mask]



cloud_contamination_category
time
Qualitatively assessed cloud contamination label
[1, 2, 3, 4] = [underestimated cloud cover, overestimated cloud cover, correctly estimated cloud cover for cloudy sky, correctly estimated cloud cover for clear sky]
DOI: 10.5281/zenodo.14791443
title: Ice/Water classification maps from study entitled "An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery"

description: This dataset consists of ice/water classified maps from three years of Landsat-8 imagery.

This dataset was used to construct the sea ice concentration map presented in the study: Jung, H-S, Lee, S-M, Kim, J-H, and Lee, K: An Arctic sea ice concentration data record on a 6.25 km polar stereographic grid from 3 years of Landsat-8 imagery, Earth Syst. Sci. Data, 17, 233-258, https://doi.org/10.5194/essd-17-233-2025, 2025.

Data naming convention: {Landsat-8 original filename}.nc

Data content:




Name
Dimension
Summary
Flag values


time
time


Reference time of satellite image



 



crs
None
Coordinate reference system
 


X
X
X coordinate of projection
 


Y
Y
Y coordinate of projection
 


classification_map
(Y, X)


Ice/Water classified map



[0, 1, 2] = [water, ice, mask]



cloud_contamination_category
time
Qualitatively assessed cloud contamination label
[1, 2, 3, 4] = [underestimated cloud cover, overestimated cloud cover, correctly estimated cloud cover for cloudy sky, correctly estimated cloud cover for clear sky]
DOI: 10.5281/zenodo.14852909
title: A Critical Discourse Analysis of Teacher's Emotionality  of Teaching LGBTQ+ History Dataset

description: Interviews conducted for qualitative data collection
DOI: 10.5281/zenodo.14852910
title: A Critical Discourse Analysis of Teacher's Emotionality  of Teaching LGBTQ+ History Dataset

description: Interviews conducted for qualitative data collection
DOI: 10.15468/dl.s3js8q
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.72083 37.55358,-6.05481 36.86841,-5.12682 36.19265,-3.51251 36.48077,-3.71551 37.70669,-4.72083 37.55358))",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia coriacea Boiss."
 ]
}

 The dataset includes 209 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023907-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x6hfg
title: Occurrence Download

description: A dataset containing 28089 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphyrna lewini (Griffith & Smith, 1834)"
 ]
}

 The dataset includes 28089 records from 260 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023863-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14852923
title: Transcriptomic Profiling of Long COVID in Interstitial Lung Disease Patients Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation

description: Raw RNA-seq reads for "Transcriptomic Profiling of Long COVID in Interstitial Lung Disease Patients Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation."
DOI: 10.5281/zenodo.14852924
title: Transcriptomic Profiling of Long COVID in Interstitial Lung Disease Patients Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation

description: Raw RNA-seq reads for "Transcriptomic Profiling of Long COVID in Interstitial Lung Disease Patients Reveals Dysregulation of Mitochondrial Oxidative Phosphorylation."
DOI: 10.25318/3810012601-eng
title: Household hazardous waste, inactive

description: Presence of various type of household hazardous waste and electronic waste (e-waste), and disposal methods used in previous 12 months.
DOI: 10.25318/3810012601-fra
title: Déchets ménagers dangereux, inactif

description: Présence de divers types de déchets ménagers dangereux et de déchets électroniques et méthodes d'élimination utilisées au cours des 12 derniers mois.
DOI: 10.15468/dl.s6wr4g
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Universidad de Oviedo. Departamento de Biología de Organismos y Sistemas: FCO",
 "TaxonKey is Dryopteris dilatata (Hoffm.) A.Gray"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023884-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14852900
title: Absence of Action Potential-Like Spiking in D2O-Suspended Proteinoid Microspheres

description:  

 









% 1. Read the CSV files




data_common = readtable('GPA_PURE.csv'); % Proteinoids in deionized water




data_heavy = readtable('glupheheavywater.csv'); % Proteinoids in heavy water

 











% File names for heavy water and deionized water (excluding 1000 mV/s)




files_H2O = {'10.csv', '50.csv', '100.csv', '400.csv', '600.csv', '800.csv', '900.csv'};




files_DW = {'10p.csv', '50p.csv', '100p.csv', '400p.csv', '600p.csv', '800p.csv', '900p.csv'};




scan_rates = [10, 50, 100, 400, 600, 800, 900]; % mV/s
DOI: 10.5281/zenodo.14852901
title: Absence of Action Potential-Like Spiking in D2O-Suspended Proteinoid Microspheres

description:  

 









% 1. Read the CSV files




data_common = readtable('GPA_PURE.csv'); % Proteinoids in deionized water




data_heavy = readtable('glupheheavywater.csv'); % Proteinoids in heavy water

 











% File names for heavy water and deionized water (excluding 1000 mV/s)




files_H2O = {'10.csv', '50.csv', '100.csv', '400.csv', '600.csv', '800.csv', '900.csv'};




files_DW = {'10p.csv', '50p.csv', '100p.csv', '400p.csv', '600p.csv', '800p.csv', '900p.csv'};




scan_rates = [10, 50, 100, 400, 600, 800, 900]; % mV/s
DOI: 10.15468/dl.vpvdvw
title: Occurrence Download

description: A dataset containing 33785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Bombyliidae"
 ]
}

 The dataset includes 33785 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023805-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2aj83
title: Occurrence Download

description: A dataset containing 989416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Spain",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is ESP.6.1_1",
 "Geometry POLYGON((1.70127 41.0772,2.53445 41.0772,2.53445 41.62808,1.70127 41.62808,1.70127 41.0772))",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2025"
 ]
}

 The dataset includes 989416 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023794-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14851851
title: REGENIE results of brain IDP GWAS (Part 5)

description: ❯ md5sum vol_native_20241122_wbr*0467078cdca3f00e7e8409cf5b7eff88  vol_native_20241122_wbr.zip1a570e271a60496ba7be4774bef82be3  vol_native_20241122_wbr_IDP_T1_FIRST_left_accumbens_volume.regenie.gz908c6e5c6e6b90d263122de082c50f8f  vol_native_20241122_wbr_IDP_T1_FIRST_left_amygdala_volume.regenie.gzdf9b8bf893aca5792e1c43ce7c869f4b  vol_native_20241122_wbr_IDP_T1_FIRST_left_caudate_volume.regenie.gzf37407e3e58cf51908322179710be6dd  vol_native_20241122_wbr_IDP_T1_FIRST_left_hippocampus_volume.regenie.gz792d5159961b60e9165e36e4095e36c4  vol_native_20241122_wbr_IDP_T1_FIRST_left_pallidum_volume.regenie.gz856c3fe446ce365da23d9717b507da45  vol_native_20241122_wbr_IDP_T1_FIRST_left_putamen_volume.regenie.gz421d49ccaecd24339d2a8e3609129580  vol_native_20241122_wbr_IDP_T1_FIRST_left_thalamus_volume.regenie.gzd7852d8c8b7fb580dd99a15ecaceafc8  vol_native_20241122_wbr_IDP_T1_FIRST_right_accumbens_volume.regenie.gzda2dde2056573e999ea409cb64f01ed2  vol_native_20241122_wbr_IDP_T1_FIRST_right_amygdala_volume.regenie.gzc3ec345fabcb3f7014a8a0d12e97e716  vol_native_20241122_wbr_IDP_T1_FIRST_right_caudate_volume.regenie.gz0889466a2654468765dc720de82c2d16  vol_native_20241122_wbr_IDP_T1_FIRST_right_hippocampus_volume.regenie.gz213470ffa9b96cefa5a7f4001d1fdcf5  vol_native_20241122_wbr_IDP_T1_FIRST_right_pallidum_volume.regenie.gzc69fc9356d3e5f790cfd8cd9e3f8760e  vol_native_20241122_wbr_IDP_T1_FIRST_right_putamen_volume.regenie.gz7f392bc3e10e1be91f16049d8be02806  vol_native_20241122_wbr_IDP_T1_FIRST_right_thalamus_volume.regenie.gz

 

vol_native_20241122_wbr_IDP_T1_FIRST_right_caudate_volume.regenie.gz is uploaded to 10.5281/zenodo.14838372
DOI: 10.5281/zenodo.14851852
title: REGENIE results of brain IDP GWAS (Part 5)

description: ❯ md5sum vol_native_20241122_wbr*0467078cdca3f00e7e8409cf5b7eff88  vol_native_20241122_wbr.zip1a570e271a60496ba7be4774bef82be3  vol_native_20241122_wbr_IDP_T1_FIRST_left_accumbens_volume.regenie.gz908c6e5c6e6b90d263122de082c50f8f  vol_native_20241122_wbr_IDP_T1_FIRST_left_amygdala_volume.regenie.gzdf9b8bf893aca5792e1c43ce7c869f4b  vol_native_20241122_wbr_IDP_T1_FIRST_left_caudate_volume.regenie.gzf37407e3e58cf51908322179710be6dd  vol_native_20241122_wbr_IDP_T1_FIRST_left_hippocampus_volume.regenie.gz792d5159961b60e9165e36e4095e36c4  vol_native_20241122_wbr_IDP_T1_FIRST_left_pallidum_volume.regenie.gz856c3fe446ce365da23d9717b507da45  vol_native_20241122_wbr_IDP_T1_FIRST_left_putamen_volume.regenie.gz421d49ccaecd24339d2a8e3609129580  vol_native_20241122_wbr_IDP_T1_FIRST_left_thalamus_volume.regenie.gzd7852d8c8b7fb580dd99a15ecaceafc8  vol_native_20241122_wbr_IDP_T1_FIRST_right_accumbens_volume.regenie.gzda2dde2056573e999ea409cb64f01ed2  vol_native_20241122_wbr_IDP_T1_FIRST_right_amygdala_volume.regenie.gzc3ec345fabcb3f7014a8a0d12e97e716  vol_native_20241122_wbr_IDP_T1_FIRST_right_caudate_volume.regenie.gz0889466a2654468765dc720de82c2d16  vol_native_20241122_wbr_IDP_T1_FIRST_right_hippocampus_volume.regenie.gz213470ffa9b96cefa5a7f4001d1fdcf5  vol_native_20241122_wbr_IDP_T1_FIRST_right_pallidum_volume.regenie.gzc69fc9356d3e5f790cfd8cd9e3f8760e  vol_native_20241122_wbr_IDP_T1_FIRST_right_putamen_volume.regenie.gz7f392bc3e10e1be91f16049d8be02806  vol_native_20241122_wbr_IDP_T1_FIRST_right_thalamus_volume.regenie.gz

 

vol_native_20241122_wbr_IDP_T1_FIRST_right_caudate_volume.regenie.gz is uploaded to 10.5281/zenodo.14838372
DOI: 10.15468/dl.wz2svs
title: Occurrence Download

description: A dataset containing 2191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-5.6502 35.96511,-4.55389 36.58914,-3.4861 36.49062,-1.98557 36.66987,-1.83588 37.31316,-1.56689 37.62337,-1.70645 38.13216,-2.3019 38.81795,-2.85317 38.85216,-3.22067 38.93162,-3.54735 38.91574,-3.83893 38.93891,-4.76157 38.61576,-5.58905 38.77262,-5.81178 38.4736,-6.59943 38.26776,-7.16493 38.12491,-7.42748 37.82242,-7.50826 37.45458,-7.3063 37.19762,-6.96296 37.11714,-6.59943 36.8267,-6.55904 36.51893,-6.17531 36.17733,-5.6502 35.96511))",
 "HasGeospatialIssue is false",
 "TaxonKey is Paeonia L."
 ]
}

 The dataset includes 2191 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023915-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14853027
title: Factors influencing the activity time budget of Himalayan Red Panda Ailurus fulgens fulgens, Large Indian civet Viverra zibetha, and Leopard cat Prionailurus bengalensis in captivity
DOI: 10.5281/zenodo.14853028
title: Factors influencing the activity time budget of Himalayan Red Panda Ailurus fulgens fulgens, Large Indian civet Viverra zibetha, and Leopard cat Prionailurus bengalensis in captivity
DOI: 10.15468/dl.884rj6
title: Occurrence Download

description: A dataset containing 60034 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.2.82_2",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 60034 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023870-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e113070
title: Replication data for: Financing Innovation: Evidence from R&D Grants

description: Governments regularly subsidize new ventures to spur innovation. This paper conducts the first large-sample, quasi-experimental evaluation of R&D subsidies. I use data on ranked applicants to the US Department of Energy's SBIR grant program. An early-stage award approximately doubles the probability that a firm receives subsequent venture capital and has large, positive impacts on patenting and revenue. These effects are stronger for more financially constrained firms. Certification, where the award contains information about firm quality, likely does not explain the grant effect. Instead, the grants are useful because they fund technology prototyping.
DOI: 10.3886/e113070v1-167361
title: Replication data for: Financing Innovation: Evidence from R&D Grants

description: Governments regularly subsidize new ventures to spur innovation. This paper conducts the first large-sample, quasi-experimental evaluation of R&D subsidies. I use data on ranked applicants to the US Department of Energy's SBIR grant program. An early-stage award approximately doubles the probability that a firm receives subsequent venture capital and has large, positive impacts on patenting and revenue. These effects are stronger for more financially constrained firms. Certification, where the award contains information about firm quality, likely does not explain the grant effect. Instead, the grants are useful because they fund technology prototyping.
DOI: 10.15468/dl.f25c9w
title: Occurrence Download

description: A dataset containing 34880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-15 40,40 40,40 90,-15 90,-15 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycaena dispar (Haworth, 1803)",
 "Year 1950-2024"
 ]
}

 The dataset includes 34880 records from 680 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023871-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qrmbhu
title: Occurrence Download

description: A dataset containing 35767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sarracenia L."
 ]
}

 The dataset includes 35767 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023876-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4mx8m
title: Occurrence Download

description: A dataset containing 973 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((-114.7096 55.11646,-114.39603 55.11646,-114.39603 55.28294,-114.7096 55.28294,-114.7096 55.11646))"
 ]
}

 The dataset includes 973 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023924-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejma7r
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Zinnia peruviana (L.) L."
 ]
}

 The dataset includes 68 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023919-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pzza6k
title: Occurrence Download

description: A dataset containing 355 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Ohio",
 "TaxonKey is Sarracenia purpurea L."
 ]
}

 The dataset includes 355 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023925-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6bqw52
title: Occurrence Download

description: A dataset containing 2825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (BRA.24_1, BRA.16_1, BRA.21_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Polygonaceae"
 ]
}

 The dataset includes 2825 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023923-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8mn29
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.551412 -33.703238, 148.553657 -33.703238, 148.553657 -33.709975, 148.558149 -33.709975, 148.558149 -33.700992, 148.553657 -33.700992, 148.553657 -33.6965, 148.551412 -33.6965, 148.551412 -33.703238)), ((148.551412 -33.703238, 148.549166 -33.703238, 148.549166 -33.707729, 148.551412 -33.707729, 148.551412 -33.703238)))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069516-240626123714530/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.26622514.v1
title: Additional file 3 of Effects of oral health-related quality of life on total mortality: a prospective cohort study

description: Additional file 3. Total mortality aHRs based on male sex, according to the GOHAI score quartile encompassing General Health of HQOL data.
DOI: 10.6084/m9.figshare.26622517
title: Additional file 4 of Effects of oral health-related quality of life on total mortality: a prospective cohort study

description: Additional file 4. Total mortality aHRs based on female sex, according to the GOHAI score quartile encompassing General Health of the HQOL data.
DOI: 10.15468/dl.a7cnhs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((147.832756 -33.685271, 147.832756 -33.687517, 147.839493 -33.687517, 147.839493 -33.685271, 147.832756 -33.685271)), ((147.839493 -33.687517, 147.839493 -33.692009, 147.843985 -33.692009, 147.843985 -33.687517, 147.839493 -33.687517)), ((147.839493 -33.692009, 147.832756 -33.692009, 147.832756 -33.694254, 147.83051 -33.694254, 147.83051 -33.6965, 147.837247 -33.6965, 147.837247 -33.700992, 147.839493 -33.700992, 147.839493 -33.703238, 147.837247 -33.703238, 147.837247 -33.707729, 147.839493 -33.707729, 147.839493 -33.705483, 147.843985 -33.705483, 147.843985 -33.694254, 147.839493 -33.694254, 147.839493 -33.692009)), ((147.837247 -33.707729, 147.832756 -33.707729, 147.832756 -33.700992, 147.83051 -33.700992, 147.83051 -33.707729, 147.828264 -33.707729, 147.828264 -33.709975, 147.83051 -33.709975, 147.83051 -33.714467, 147.832756 -33.714467, 147.832756 -33.709975, 147.837247 -33.709975, 147.837247 -33.707729)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069517-240626123714530/datasets/export for details.
DOI: 10.6084/m9.figshare.25347760
title: <b>Widespread crab burrows enhance </b><b>greenhouse gas </b><b>emissions from coastal blue carbon ecosystems</b>

description: Investigation data on crab burrows (scale of large climate gradient, from China).The data includes：Particle size, environmental variables, soil organic carbon (SOC), soil organic matter (SOM), and light-heavy fraction organic carbon (L-HFOC) of 106 sediment samples (burrow or matrix).GHGs emission rate, GHGs cumulative flux, and enzyme activity of 34 sediment samples (incubation experiment).<br>
DOI: 10.6084/m9.figshare.26622523.v1
title: Additional file 2 of Graph regularized non-negative matrix factorization with $$L_{2,1}$$ L 2 , 1 norm regularization terms for drug–target interactions prediction

description: Additional file 2. iPALM-DLMF + appendix.