cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15093104
title: Global Kilometer-level Spatiotemporal Continuous Surface Soil Moisture Dataset (1992-1997)

description: Document Title: Global 1km Surface Soil Moisture Dataset (1980-2023) DocumentationVersion: 1.0Date: March 1, 2025

Dataset Overview

This dataset is a global 1km surface soil moisture product independently developed by the research team led by Prof. Zhaoliang Li and Prof. Pei Leng at the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences. The original data source is the ESA-CCI active-passive fused soil moisture product. The dataset integrates multi-source reanalysis and assimilation data to reduce uncertainties and fill missing values in the original ESA-CCI product. Key methodologies include:

(1) Triple Collocation Analysis (TCA) for fusing ERA5, GLEAM, and GLDAS soil moisture data.

(2) Downscaling from 25 km to 1 km resolution using subgrid variability modeling with SoilGrids high-resolution soil texture data and the Van Genuchten-Mualem model.

(3) Validation via ground observations from the International Soil Moisture Network (ISMN), achieving an unbiased root mean square error (ubRMSE) of 0.051 m³/m³.

Dataset Specifications

· Name: Global Kilometer-Level Spatiotemporally Continuous Surface Soil Moisture Dataset (1980–2023)

· Format: NetCDF

· Coordinate System: WGS84 Geographic Coordinate System

· Temporal Coverage: January 1, 1980 – December 31, 2023

· Spatiotemporal Resolution: 1km/10-day (Please be advised that due to limitations regarding data upload capacity, users requiring daily data are kindly requested to contact us: lengpei@caas.cn)

· Data Source: ESA-CCI Soil Moisture Product

Data Organization

· File Naming Convention: yyyymm_xxxx.nc (e.g., 198001_early.nc represents Early January 1980).

· Units: Volumetric soil moisture content (m³/m³).

· Storage Details:

o Data is stored as int16 to optimize space.

o To obtain actual values, multiply stored data by 0.001 (e.g., a pixel value of 327 corresponds to 0.327 m³/m³).
DOI: 10.15468/dl.jdpy94
title: Occurrence Download

description: A dataset containing 45 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.8.10_2, COL.8.12_2, COL.8.18_2)",
 "TaxonKey is one of (Mammalia)",
 "Elevation 1490-2200m"
 ]
 }
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003210-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kx9h25
title: Occurrence Download

description: A dataset listing the 4034208 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4034208 records were derived from 71957 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003201-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ckcphz
title: Occurrence Download

description: A dataset containing 561 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fejervarya vittigera (Wiegmann, 1834)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 561 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003211-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cajvvq
title: Occurrence Download

description: A dataset containing 917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "TaxonKey is Oreixenica ptunarra Couchman, 1953"
 ]
}

 The dataset includes 917 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003212-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfg8t2
title: Occurrence Download

description: A dataset containing 309 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Firouzophrynus Safaei-Mahroo & Ghaffari, 2020",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 309 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003213-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15093005
title: Dynamics of Popularity and Innovation in Multiple Open-Source-Software Ecosystems

description: The datasets used in the study of Dynamics of Popularity and Innovation in MultipleOpen-Source-Software Ecosystems.
DOI: 10.5281/zenodo.15093004
title: Dynamics of Popularity and Innovation in Multiple Open-Source-Software Ecosystems

description: The datasets used in the study of Dynamics of Popularity and Innovation in MultipleOpen-Source-Software Ecosystems.
DOI: 10.15468/dl.qv5aqq
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gegeneophis ramaswamii Taylor, 1964",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003214-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8wf5da
title: Occurrence Download

description: A dataset containing 45 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.8.10_2, COL.8.12_2, COL.8.18_2)",
 "TaxonKey is one of (Mammalia)",
 "Elevation 1490-2200m"
 ]
 }
 ]
}

 The dataset includes 45 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003215-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh66gc
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.04801 32.43771,135.86947 32.43771,135.86947 38.75817,120.04801 38.75817,120.04801 32.43771))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis macrodactylus (Temminck, 1840)"
 ]
}

 The dataset includes 51 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003216-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6da6yk
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.05021 32.16733,136.35861 32.16733,136.35861 39.08181,119.05021 39.08181,119.05021 32.16733))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis bombinus Thomas, 1906"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003218-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bragr8
title: Occurrence Download

description: A dataset containing 229 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ulmus lanceifolia Roxb."
 ]
}

 The dataset includes 229 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003221-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqtbgj
title: Occurrence Download

description: A dataset containing 292 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Geotrypetes seraphini (Duméril, 1859)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 292 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003219-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8e5j3
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((122.69485 32.99700,135.74460 32.99700,135.74460 38.21021,122.69485 38.21021,122.69485 32.99700))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis Kaup, 1829"
 ]
}

 The dataset includes 232 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003220-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k3qpdz
title: Occurrence Download

description: A dataset containing 241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.61725 32.74758,135.97781 32.74758,135.97781 38.48443,121.61725 38.48443,121.61725 32.74758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pipistrellus Kaup, 1829"
 ]
}

 The dataset includes 241 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003222-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23636/578s-8y85
title: The Newspaper Press Directory (1881-1920)

description: Newspaper directories produced and published annually in contemporary 19th Britain by advertising agent Charles Mitchell. Newspapers listed primarily listed in alphabetical order of the town the newspaper where the title was published. Information for each title included: features connected with the district such as population and trade; principal towns in district; title, price, day of publication; politics; date of first issue; political leanings and special interests; proprietors and publishers. Some overseas titles information also included in selected years.
description: The file consists of OCR (Optical Character Recognition) text in XML format for each year the directory was published, where a physical copy is housed in the Newsroom. The digitised pages will be made available on BL's Universal Viewer
description: London, UK
DOI: 10.15468/dl.6bz3px
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.78964 32.85252,135.57024 32.85252,135.57024 38.35769,121.78964 38.35769,121.78964 32.85252))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Miniopterus Bonaparte, 1837"
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003223-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9767ne
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gephyromantis asper (Boulenger, 1882)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 164 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003224-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14503475
title: Mammary epithelial intravital imaging data and MaSCOT-AI Cellpose model for analysis of in vivo cell shape dynamics

description: The data and deep learning segmentation model deposited here are derived from 3D multicoloured intravital microscopy of mammary epithelial cells during development. We aimed to study in vivo cell shape dynamics in real-time in an unbiased way. This robust and deep analysis revealed that hormone-responsive breast cells are unexpectedly elongated and motile at a high frequency during duct growth. The data is associated with our publication Dawson, Milevskiy et al, Cell Reports 2024, Hormone-responsive progenitors have a unique identity and exhibit high motility during mammary morphogenesis. https://doi.org/10.1016/j.celrep.2024.115073

Deposited data- Single channel intravital movie maximum projections (File:MaSCOT-AI Max projections). These are up to 5 hours long, with timepoints every 10 minutes.- Extracted 5th time points from each movie that we used for model training (File:MaSCOT-AI t5 training)- Segmentation files generated by Cellpose 2.2.2 (File: MaSCOT-AI t5 segmentation files)

Analysis scripts:The Trackmate-Cellpose python script, R data processing scripts and example excel data sheet are on github at https://github.com/cadaws/MaSCOT-AI

Example analysis and data export:A small set of example data and resulting trackmate-Cellpose output will be uploaded at a later date.

Methods27 4D movies were acquired every 10 minutes by multiphoton microscopy of anaesthetised cell-type-specific confetti mice at different stages of development. 350 single channel, single-cell thick layers (10-30 µm sections) were isolated by 3D cropping, then flattened by max projection. The 5th time point from all movies was taken for model training in Cellpose 2.2.2, which was achieved after manual correction of segmentation for 150 images (MaSCOT-AI model).

The MaSCOT-AI model was used in a high throughput Trackmate-Cellpose script in ImageJ to track mammary cell shape over time.

Software versions:Cellpose 2.2.2 GUI with GPU was installed according to https://pypi.org/project/cellpose/ (March 2024).Trackmate v7.11.1

File name structureDate_mouse-model_developmental-stage_fluorescent-protein_z-span

Mouse models:K5: K5-rtTA/tetoCre/ConfettiElf5: Elf5-rtTA/tetoCre/ConfettiPr: PR-Cre/Confetti

Developmental stage:no label = Terminal end bud at 5 weeksduct/notpreg = duct at 6 or 9 weeks6dPreg/6dplug = 6 days pregnancy6d MPA = 6 days MPA treatmentMPAveh = 6 days MPA vehicle treatment
DOI: 10.5281/zenodo.14503476
title: Mammary epithelial intravital imaging data and MaSCOT-AI Cellpose model for analysis of in vivo cell shape dynamics

description: The data and deep learning segmentation model deposited here are derived from 3D multicoloured intravital microscopy of mammary epithelial cells during development. We aimed to study in vivo cell shape dynamics in real-time in an unbiased way. This robust and deep analysis revealed that hormone-responsive breast cells are unexpectedly elongated and motile at a high frequency during duct growth. The data is associated with our publication Dawson, Milevskiy et al, Cell Reports 2024, Hormone-responsive progenitors have a unique identity and exhibit high motility during mammary morphogenesis. https://doi.org/10.1016/j.celrep.2024.115073

Deposited data- Single channel intravital movie maximum projections (File:MaSCOT-AI Max projections). These are up to 5 hours long, with timepoints every 10 minutes.- Extracted 5th time points from each movie that we used for model training (File:MaSCOT-AI t5 training)- Segmentation files generated by Cellpose 2.2.2 (File: MaSCOT-AI t5 segmentation files)

Analysis scripts:The Trackmate-Cellpose python script, R data processing scripts and example excel data sheet are on github at https://github.com/cadaws/MaSCOT-AI

Example analysis and data export:A small set of example data and resulting trackmate-Cellpose output will be uploaded at a later date.

Methods27 4D movies were acquired every 10 minutes by multiphoton microscopy of anaesthetised cell-type-specific confetti mice at different stages of development. 350 single channel, single-cell thick layers (10-30 µm sections) were isolated by 3D cropping, then flattened by max projection. The 5th time point from all movies was taken for model training in Cellpose 2.2.2, which was achieved after manual correction of segmentation for 150 images (MaSCOT-AI model).

The MaSCOT-AI model was used in a high throughput Trackmate-Cellpose script in ImageJ to track mammary cell shape over time.

Software versions:Cellpose 2.2.2 GUI with GPU was installed according to https://pypi.org/project/cellpose/ (March 2024).Trackmate v7.11.1

File name structureDate_mouse-model_developmental-stage_fluorescent-protein_z-span

Mouse models:K5: K5-rtTA/tetoCre/ConfettiElf5: Elf5-rtTA/tetoCre/ConfettiPr: PR-Cre/Confetti

Developmental stage:no label = Terminal end bud at 5 weeksduct/notpreg = duct at 6 or 9 weeks6dPreg/6dplug = 6 days pregnancy6d MPA = 6 days MPA treatmentMPAveh = 6 days MPA vehicle treatment
DOI: 10.5281/zenodo.15015542
title: Mammary epithelial intravital imaging data and MaSCOT-AI Cellpose model for analysis of in vivo cell shape dynamics

description: The data and deep learning segmentation model deposited here are derived from 3D multicoloured intravital microscopy of mammary epithelial cells during development. We aimed to study in vivo cell shape dynamics in real-time in an unbiased way. This robust and deep analysis revealed that hormone-responsive breast cells are unexpectedly elongated and motile at a high frequency during duct growth. The data is associated with our publication Dawson, Milevskiy et al, Cell Reports 2024, Hormone-responsive progenitors have a unique identity and exhibit high motility during mammary morphogenesis. https://doi.org/10.1016/j.celrep.2024.115073

Deposited data- Single channel intravital movie maximum projections (File:MaSCOT-AI Max projections). These are up to 5 hours long, with timepoints every 10 minutes.- Extracted 5th time points from each movie that we used for model training (File:MaSCOT-AI t5 training)- Segmentation files generated by Cellpose 2.2.2 (File: MaSCOT-AI t5 segmentation files)

Analysis scripts:The Trackmate-Cellpose python script, R data processing scripts and example excel data sheet are on github at https://github.com/cadaws/MaSCOT-AI

Example analysis and data export:A small set of example data and resulting trackmate-Cellpose output will be uploaded at a later date.

Methods27 4D movies were acquired every 10 minutes by multiphoton microscopy of anaesthetised cell-type-specific confetti mice at different stages of development. 350 single channel, single-cell thick layers (10-30 µm sections) were isolated by 3D cropping, then flattened by max projection. The 5th time point from all movies was taken for model training in Cellpose 2.2.2, which was achieved after manual correction of segmentation for 150 images (MaSCOT-AI model).

The MaSCOT-AI model was used in a high throughput Trackmate-Cellpose script in ImageJ to track mammary cell shape over time.

Software versions:Cellpose 2.2.2 GUI with GPU was installed according to https://pypi.org/project/cellpose/ (March 2024).Trackmate v7.11.1

File name structureDate_mouse-model_developmental-stage_fluorescent-protein_z-span

Mouse models:K5: K5-rtTA/tetoCre/ConfettiElf5: Elf5-rtTA/tetoCre/ConfettiPr: PR-Cre/Confetti

Developmental stage:no label = Terminal end bud at 5 weeksduct/notpreg = duct at 6 or 9 weeks6dPreg/6dplug = 6 days pregnancy6d MPA = 6 days MPA treatmentMPAveh = 6 days MPA vehicle treatment
DOI: 10.5281/zenodo.15093585
title: Mammary epithelial intravital imaging data and MaSCOT-AI Cellpose model for analysis of in vivo cell shape dynamics

description: The data and deep learning segmentation model deposited here are derived from 3D multicoloured intravital microscopy of mammary epithelial cells during development. We aimed to study in vivo cell shape dynamics in real-time in an unbiased way. This robust and deep analysis revealed that hormone-responsive breast cells are unexpectedly elongated and motile at a high frequency during duct growth. The data is associated with our publication Dawson, Milevskiy et al, Cell Reports 2024, Hormone-responsive progenitors have a unique identity and exhibit high motility during mammary morphogenesis. https://doi.org/10.1016/j.celrep.2024.115073

Deposited data- Single channel intravital movie maximum projections (File:MaSCOT-AI Max projections). These are up to 5 hours long, with timepoints every 10 minutes.- Extracted 5th time points from each movie that we used for model training (File:MaSCOT-AI t5 training)- Segmentation files generated by Cellpose 2.2.2 (File: MaSCOT-AI t5 segmentation files)

Analysis scripts:The Trackmate-Cellpose python script, R data processing scripts and example excel data sheet are on github at https://github.com/cadaws/MaSCOT-AI

Example analysis and data export:A small set of example data and resulting trackmate-Cellpose output will be uploaded at a later date.

Methods27 4D movies were acquired every 10 minutes by multiphoton microscopy of anaesthetised cell-type-specific confetti mice at different stages of development. 350 single channel, single-cell thick layers (10-30 µm sections) were isolated by 3D cropping, then flattened by max projection. The 5th time point from all movies was taken for model training in Cellpose 2.2.2, which was achieved after manual correction of segmentation for 150 images (MaSCOT-AI model).

The MaSCOT-AI model was used in a high throughput Trackmate-Cellpose script in ImageJ to track mammary cell shape over time.

Software versions:Cellpose 2.2.2 GUI with GPU was installed according to https://pypi.org/project/cellpose/ (March 2024).Trackmate v7.11.1

File name structureDate_mouse-model_developmental-stage_fluorescent-protein_z-span

Mouse models:K5: K5-rtTA/tetoCre/ConfettiElf5: Elf5-rtTA/tetoCre/ConfettiPr: PR-Cre/Confetti

Developmental stage:no label = Terminal end bud at 5 weeksduct/notpreg = duct at 6 or 9 weeks6dPreg/6dplug = 6 days pregnancy6d MPA = 6 days MPA treatmentMPAveh = 6 days MPA vehicle treatment
DOI: 10.15468/dl.wwnuhs
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.31387 32.78377,135.49475 32.78377,135.49475 38.44884,121.31387 38.44884,121.31387 32.78377))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Murina Gray, 1842"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003225-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4t2q88
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gephyromantis boulengeri Methuen, 1920",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 122 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003226-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.