cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9wfhyh
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is edb4b7ac-479e-4f94-b161-24e5ef0b0dba"
 ]
}

 The dataset includes 223 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074978-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fvyzs8
title: Occurrence Download

description: A dataset listing the 165 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.76485 6.31413,-75.77341 6.30262,-75.77744 6.2881,-75.77845 6.27919,-75.77794 6.27018,-75.77492 6.25216,-75.76636 6.24515,-75.74773 6.24165,-75.73716 6.24064,-75.72155 6.24165,-75.70896 6.25116,-75.69618 6.25953,-75.69367 6.27405,-75.69266 6.28956,-75.69467 6.30458,-75.70122 6.31709,-75.71481 6.3221,-75.73697 6.3241,-75.75258 6.3221,-75.76485 6.31413))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 165 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074966-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13345343
title: RBC-SatImg: Sentinel-2 Imagery and WatData Labels for Water Mapping

description: Data Description

This dataset is linked to the publication "Recursive classification of satellite imaging time-series: An application to land cover mapping". In this paper, we introduce the recursive Bayesian classifier (RBC), which converts any instantaneous classifier into a robust online method through a probabilistic framework that is resilient to non-informative image variations. To reproduce the results presented in the paper, the RBC-SatImg folder and the code in the GitHub repository RBC-SatImg are required.

The RBC-SatImg folder contains:



Sentinel-2 time-series imagery from three key regions: Oroville Dam (CA, USA) and Charles River (Boston, MA, USA) for water mapping, and the Amazon Rainforest (Brazil) for deforestation detection.

The RBC-WatData dataset with manually generated water mapping labels for the Oroville Dam and Charles River regions. This dataset is well-suited for multitemporal land cover and water mapping research, as it accounts for the dynamic evolution of true class labels over time.

Pickle files with output to reproduce the results in the paper, including:



Instantaneous classification results for GMM, LR, SIC, WN, DWM

Posterior results obtained with the RBC framework




The Sentinel-2 images and forest labels used in the deforestation detection experiment for the Amazon Rainforest have been obtained from the MultiEarth Challenge dataset.

Folder Structure

The following paths can be changed in the configuration file from the GitHub repository as desired. The RBC-SatImg is organized as follows:



`./log/` (EMPTY): Default path for storing log files generated during code execution.

`./evaluation_results/`: Contains the results to reproduce the findings in the paper, including two sub-folders:



`./classification/`:  For each test site, four sub-folders are included as:



`./accuracy/`: Each sub-folder corresponding to an experimental configuration contains pickle files with balanced classification accuracy results and information about the models. The default configuration used in the paper is "conf_00."

`./figures/`: Includes result figures from the manuscript in SVG format.

`./likelihoods/`: Contains pickle files with instantaneous classification results.

`./posteriors/`: Contains pickle files with posterior results generated by the RBC framework.



`./sensitivity_analysis/`: Contains sensitivity analysis results, organized by different test sites and epsilon values.



 `./Sentinel2_data/`: Contains Sentinel-2 images used for training and evaluation, organized by scenarios (Oroville Dam, Charles River, Amazon Rainforest). Selected images have been filtered and processed as explained in the manuscript. The Amazon Rainforest images and labels have been obtained from the MultiEarth dataset, and consequently, the labels are included in this folder instead of the RBC-WatData folder.

`./RBC-WatData/`: Contains the water labels that we manually generated with the LabelStudio tool.
DOI: 10.5281/zenodo.6999171
title: RBC-SatImg: Sentinel-2 Imagery and WatData Labels for Water Mapping

description: Data Description

This dataset is linked to the publication "Recursive classification of satellite imaging time-series: An application to land cover mapping". In this paper, we introduce the recursive Bayesian classifier (RBC), which converts any instantaneous classifier into a robust online method through a probabilistic framework that is resilient to non-informative image variations. To reproduce the results presented in the paper, the RBC-SatImg folder and the code in the GitHub repository RBC-SatImg are required.

The RBC-SatImg folder contains:



Sentinel-2 time-series imagery from three key regions: Oroville Dam (CA, USA) and Charles River (Boston, MA, USA) for water mapping, and the Amazon Rainforest (Brazil) for deforestation detection.

The RBC-WatData dataset with manually generated water mapping labels for the Oroville Dam and Charles River regions. This dataset is well-suited for multitemporal land cover and water mapping research, as it accounts for the dynamic evolution of true class labels over time.

Pickle files with output to reproduce the results in the paper, including:



Instantaneous classification results for GMM, LR, SIC, WN, DWM

Posterior results obtained with the RBC framework




The Sentinel-2 images and forest labels used in the deforestation detection experiment for the Amazon Rainforest have been obtained from the MultiEarth Challenge dataset.

Folder Structure

The following paths can be changed in the configuration file from the GitHub repository as desired. The RBC-SatImg is organized as follows:



`./log/` (EMPTY): Default path for storing log files generated during code execution.

`./evaluation_results/`: Contains the results to reproduce the findings in the paper, including two sub-folders:



`./classification/`:  For each test site, four sub-folders are included as:



`./accuracy/`: Each sub-folder corresponding to an experimental configuration contains pickle files with balanced classification accuracy results and information about the models. The default configuration used in the paper is "conf_00."

`./figures/`: Includes result figures from the manuscript in SVG format.

`./likelihoods/`: Contains pickle files with instantaneous classification results.

`./posteriors/`: Contains pickle files with posterior results generated by the RBC framework.



`./sensitivity_analysis/`: Contains sensitivity analysis results, organized by different test sites and epsilon values.



 `./Sentinel2_data/`: Contains Sentinel-2 images used for training and evaluation, organized by scenarios (Oroville Dam, Charles River, Amazon Rainforest). Selected images have been filtered and processed as explained in the manuscript. The Amazon Rainforest images and labels have been obtained from the MultiEarth dataset, and consequently, the labels are included in this folder instead of the RBC-WatData folder.

`./RBC-WatData/`: Contains the water labels that we manually generated with the LabelStudio tool.
DOI: 10.5281/zenodo.6999172
title: Sentinel-2 Images from Oroville Dam and Charles River

description: Images have been visually insepected. Some of them have been selected for training due to not showing a lot of clouds and disturbances. For the Oroville Dam scenario, images selected for training are the following: 20200901T184921_20200901T185711_T10SFJ.tif<br> 20201006T185249_20201006T185406_T10SFJ.tif<br> 20201011T185321_20201011T190243_T10SFJ.tif<br> 20201016T185359_20201016T185722_T10SFJ.tif TFK images are not used because they are broken. It is recommended to work with SFJ type images. For the Charles River scenario, images selected for training are the following: Sentinel2_B*_20190518T153819_20190518T154934_T19TCG.tif<br> Sentinel2_B*_20190609T153601_20190609T153559_T19TCG.tif<br> Sentinel2_B*_20190624T153609_20190624T153604_T19TCG.tif<br> Sentinel2_B*_20190719T153601_20190719T153707_T19TCG.tif<br> Sentinel2_B*_20190729T153601_20190729T153601_T19TCH.tif # Should not be used because we are working<br> # with TCG type images, preferably Images used for training purposes must be placed in the *training* folder. If deciding to work with another type of images, or if deciding to train the models with other images, the content of the *training* folder must be changed. Images placed in the *training* folder should not be included in the *evaluation* folder.
DOI: 10.5281/zenodo.7391412
title: Sentinel-2 Images from Oroville Dam and Charles River

description: The contents of this Zenodo folder are as follows. `./log/` (EMPTY) is the default path to store a log file per code execution with a description of observed events. It is empty by default. This path can be changed in the configuration file. `./results_figures/` (EMPTY) default path for saved images with evaluation results. This path can be changed in the configuration file. `./evaluation_results/` default path where evaluation results are stored. This path can be changed in the configuration file. It contains two sub-folders: ./classification/`, which is empty given the large size of classification results. This is the default path in which classification results will be stored when evaluating. `./sensitivity_analysis/`, which includes sensitivity analysis results. Each sub-folder corresponds to the results obtained with a different value of epsilon. `./Sentinel2_data/` is the folder containing the dataset of stored Sentinel-2 images used for training and evaluation of the methods proposed by the authors. For each scenario (Oroville Dam, which includes two scenes, and Charles River), a folder containing the training and evaluation sub-folders with the corresponding images has been created. Images have been visually inspected. Some of them have been selected for training due to not showing a lot of clouds and disturbances. For the Oroville Dam scenario, images selected for training and evaluation are of type SFJ. TFK images are not used because they are broken. It is recommended to work with SFJ type images. For the Charles River scenario, images selected for training and evaluation are of type TCG.
DOI: 10.15468/dl.s45hqt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.69762 -36.634005, 144.69762 -36.636251, 144.699866 -36.636251, 144.699866 -36.634005, 144.69762 -36.634005))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074979-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13345945
title: InSAR coseismic deformation for the 2 April 2024, Mw 7.4, Hualien (Eastern Taiwan) earthquake

description: This dataset includes coseismic InSAR deformation for the 2024 Mw 7.4 Hualien (Eastern Taiwan) earthquake.
DOI: 10.15468/dl.43zs48
title: Occurrence Download

description: A dataset containing 3245 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((144.196807 -36.609301, 144.20579 -36.609301, 144.20579 -36.616039, 144.196807 -36.616039, 144.196807 -36.622776, 144.201299 -36.622776, 144.201299 -36.62053, 144.212528 -36.62053, 144.212528 -36.622776, 144.219265 -36.622776, 144.219265 -36.625022, 144.221511 -36.625022, 144.221511 -36.62053, 144.226003 -36.62053, 144.226003 -36.616039, 144.228248 -36.616039, 144.228248 -36.613793, 144.23274 -36.613793, 144.23274 -36.609301, 144.221511 -36.609301, 144.221511 -36.607056, 144.228248 -36.607056, 144.228248 -36.598072, 144.226003 -36.598072, 144.226003 -36.593581, 144.221511 -36.593581, 144.221511 -36.591335, 144.219265 -36.591335, 144.219265 -36.593581, 144.210282 -36.593581, 144.210282 -36.591335, 144.20579 -36.591335, 144.20579 -36.586843, 144.201299 -36.586843, 144.201299 -36.584598, 144.203545 -36.584598, 144.203545 -36.582352, 144.210282 -36.582352, 144.210282 -36.586843, 144.219265 -36.586843, 144.219265 -36.584598, 144.221511 -36.584598, 144.221511 -36.586843, 144.23274 -36.586843, 144.23274 -36.584598, 144.226003 -36.584598, 144.226003 -36.582352, 144.223757 -36.582352, 144.223757 -36.580106, 144.219265 -36.580106, 144.219265 -36.57786, 144.210282 -36.57786, 144.210282 -36.580106, 144.201299 -36.580106, 144.201299 -36.582352, 144.199053 -36.582352, 144.199053 -36.584598, 144.196807 -36.584598, 144.196807 -36.591335, 144.192316 -36.591335, 144.192316 -36.593581, 144.196807 -36.593581, 144.196807 -36.598072, 144.192316 -36.598072, 144.192316 -36.602564, 144.196807 -36.602564, 144.196807 -36.600318, 144.201299 -36.600318, 144.201299 -36.607056, 144.196807 -36.607056, 144.196807 -36.609301), (144.210282 -36.600318, 144.212528 -36.600318, 144.212528 -36.602564, 144.217019 -36.602564, 144.217019 -36.607056, 144.219265 -36.607056, 144.219265 -36.609301, 144.210282 -36.609301, 144.210282 -36.600318), (144.217019 -36.613793, 144.219265 -36.613793, 144.219265 -36.62053, 144.217019 -36.62053, 144.217019 -36.613793)), ((144.196807 -36.609301, 144.192316 -36.609301, 144.192316 -36.611547, 144.196807 -36.611547, 144.196807 -36.609301)), ((144.212528 -36.622776, 144.201299 -36.622776, 144.201299 -36.636251, 144.20579 -36.636251, 144.20579 -36.642988, 144.210282 -36.642988, 144.210282 -36.645234, 144.212528 -36.645234, 144.212528 -36.638497, 144.210282 -36.638497, 144.210282 -36.636251, 144.221511 -36.636251, 144.221511 -36.631759, 144.219265 -36.631759, 144.219265 -36.629514, 144.217019 -36.629514, 144.217019 -36.625022, 144.212528 -36.625022, 144.212528 -36.622776), (144.203545 -36.625022, 144.20579 -36.625022, 144.20579 -36.629514, 144.203545 -36.629514, 144.203545 -36.625022), (144.20579 -36.629514, 144.210282 -36.629514, 144.210282 -36.631759, 144.20579 -36.631759, 144.20579 -36.629514)))"
 ]
}

 The dataset includes 3245 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074980-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f8gwtc
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-75.76485 6.31413,-75.77341 6.30262,-75.77744 6.2881,-75.77845 6.27919,-75.77794 6.27018,-75.77492 6.25216,-75.76636 6.24515,-75.74773 6.24165,-75.73716 6.24064,-75.72155 6.24165,-75.70896 6.25116,-75.69618 6.25953,-75.69367 6.27405,-75.69266 6.28956,-75.69467 6.30458,-75.70122 6.31709,-75.71481 6.3221,-75.73697 6.3241,-75.75258 6.3221,-75.76485 6.31413))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 263 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074981-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymfnvt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.623509 -36.627268, 144.623509 -36.640743, 144.625755 -36.640743, 144.625755 -36.636251, 144.628001 -36.636251, 144.628001 -36.645234, 144.632492 -36.645234, 144.632492 -36.636251, 144.634738 -36.636251, 144.634738 -36.640743, 144.636984 -36.640743, 144.636984 -36.631759, 144.632492 -36.631759, 144.632492 -36.627268, 144.623509 -36.627268))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074983-240626123714530/datasets/export for details.
DOI: 10.15468/dl.kyavk3
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Helianthus petiolaris Nutt.",
 "Year 2000-2024"
 ]
}

 The dataset includes 127 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074985-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57830/2305584
title: Great Basin National Park Streams and Lakes Data Package 2009-2023

description: This data package comprises discrete data collected for the Mojave Desert Network Inventory and Monitoring Program Streams and Lakes protocol. This protocol is designed to monitor the hydrologic and ecosystem health of nine streams and six subalpine lakes in Great Basin National Park and to identify and assess the effects of stressors such as climate change, groundwater withdrawal, and atmospheric nutrient deposition. Collected data include lake surface elevations, water quality measurements, stream channel characteristics, water chemistry samples, and benthic macroinvertebrate samples. Lake surface elevations, water quality measurements, and stream channel characteristics data covers 2009 to 2023. Water chemistry sample data covers 2009 to 2022. Benthic macroinvertebrate sample data are published in a separate data package.
DOI: 10.15468/dl.2tv9mq
title: Occurrence Download

description: A dataset containing 237984 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.54456 11.79252,-67.36602 11.79252,-67.36602 32.96443,-103.54456 32.96443,-103.54456 11.79252))",
 "TaxonKey is Polychaeta"
 ]
}

 The dataset includes 237984 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074963-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zvd3n
title: Occurrence Download

description: A dataset containing 127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Helianthus petiolaris Nutt.",
 "Year 2000-2024"
 ]
}

 The dataset includes 127 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074986-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z2934cw7yy.1
title: Geosmin, a food and water deteriorating sesquiterpenoid and ambivalent semiochemical activates evolutionary conserved receptor OR11A1

description: Raw/normalized data for "Geosmin, a food and water deteriorating sesquiterpenoid and ambivalent semiochemical activates evolutionary conserved receptor OR11A1".
DOI: 10.15468/dl.suv4yk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.844217 -36.629514, 143.844217 -36.631759, 143.835234 -36.631759, 143.835234 -36.636251, 143.830742 -36.636251, 143.830742 -36.638497, 143.837479 -36.638497, 143.837479 -36.645234, 143.850954 -36.645234, 143.850954 -36.640743, 143.841971 -36.640743, 143.841971 -36.638497, 143.848708 -36.638497, 143.848708 -36.631759, 143.846463 -36.631759, 143.846463 -36.629514, 143.844217 -36.629514))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074987-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13260047
title: Sediment Budget for Timber Harvest in a California Coastal Watershed

description: Dataset for Publication: Sediment Budget for Timber Harvest in a California Coastal Watershed
DOI: 10.5281/zenodo.13260048
title: Sediment Budget for Timber Harvest in a California Coastal Watershed

description: Dataset for Publication: Sediment Budget for Timber Harvest in a California Coastal Watershed
DOI: 10.15468/dl.ycnvs2
title: Occurrence Download

description: A dataset containing 1995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Colombia",
 "GadmGid is COL.10_2",
 "TaxonKey is Felidae",
 "Year 1000-2024"
 ]
}

 The dataset includes 1995 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074990-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdvmyw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((143.850954 -36.636251, 143.850954 -36.638497, 143.8532 -36.638497, 143.8532 -36.636251, 143.850954 -36.636251))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074988-240626123714530/datasets/export for details.
DOI: 10.15468/dl.csdku6
title: Occurrence Download

description: A dataset listing the 10633 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
}

 The dataset's 10633 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074982-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ae7ezd
title: Occurrence Download

description: A dataset containing 133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platypodiella spectabilis (Herbst, 1794)"
 ]
}

 The dataset includes 133 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074992-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuxu2n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.928938 -36.642988, 144.928938 -36.645234, 144.931184 -36.645234, 144.931184 -36.642988, 144.928938 -36.642988))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074993-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ac4ghk
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((144.23274 -36.636251, 144.23274 -36.640743, 144.219265 -36.640743, 144.219265 -36.645234, 144.214774 -36.645234, 144.214774 -36.64748, 144.219265 -36.64748, 144.219265 -36.654217, 144.221511 -36.654217, 144.221511 -36.64748, 144.226003 -36.64748, 144.226003 -36.645234, 144.228248 -36.645234, 144.228248 -36.651972, 144.237232 -36.651972, 144.237232 -36.64748, 144.234986 -36.64748, 144.234986 -36.645234, 144.237232 -36.645234, 144.237232 -36.640743, 144.241723 -36.640743, 144.241723 -36.638497, 144.243969 -36.638497, 144.243969 -36.636251, 144.23274 -36.636251))"
 ]
}

 The dataset includes 42 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0074994-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.