cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/icecloudnet_3drecon
title: IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI - data

description: Project: IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI - IceCloudNet (https://arxiv.org/abs/2410.04135) is a deep learning model that maps between geostationary data and vertically resolved DARDAR and DARDAR-Nice data. IceCloudNet is able to adequately reconstruct the vertical cloud structure and predict ice water content and ice crystal number concentration of clouds containing ice with high precision. 

The data set produced by IceCloudNet combines the spatio-temporal coverage and resolution of Meteosat SEVIRI with the vertical resolution of DARDAR-Nice, increasing the availability of vertically resolved cirrus and mixed-phase cloud profiles by over six orders of magnitude compared to the DARDAR-Nice data set. 

IceCloudNet data enables many possiblities for new research on cloud formation and development. For instance, by tracking any long-lasting cloud system such as mesoscale convective systems and tropical cyclones in all spatial and temporal dimensions. Additionally, IceCloudNet data can be utilized as an observational constraint for the validation of high-resolution climate models.

This research was supported by grants from the European Union’s Horizon 2020 research and innovation program iMIRACLI under Marie Skłodowska-Curie grant agreement No 860100.
Summary: IceCloudNet is a novel method based on machine learning able to obtain high-
quality vertically resolved predictions for ice water content and ice crystal number concentration of clouds containing ice. The predictions come at the spatio-temporal coverage and resolution of Meteosat SEVIRI and the vertical resolution of DARDAR. IceCloudNet consists of a ConvNeXt-based U-Net and a 3D PatchGAN discriminator model and is trained by predicting DARDAR profiles from co-located SEVIRI images. Despite the sparse availability of DARDAR data due to its narrow overpass, IceCloudNet is able to predict cloud occurrence, macrophysical shape, and microphysical properties with high precision.
We release 5 years of vertically resolved ice water content (IWC) and ice crystal number concentration (Nice) of clouds containing ice with a 3 km×3 km×240 m×15 minute resolution on a spatial domain of 30°W to 30°E and 30°S to 30°N. The resulting data set increases the availability of vertical cloud profiles for the period when DARDAR is available by more than six orders of magnitude and moreover, is able to provide vertical cloud profiles beyond the lifetime of the recently ended satellite missions underlying DARDAR.
DOI: 10.15468/dl.t745ja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alchemilla colura Hilliard",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042338-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14445890
title: Water chemistry data from 19644 seasonally ice-covered lakes

description: This dataset contains water chemistry monitoring data and lake morphometry data from 19644 lakes collected between 1960 and 2022 in Finland, Sweden, Norway, Canada and the United States, as well as ice phenology observations from 1107 lakes in the same regions. Data was sourced from governmental databases and non-profit organizations via data portals and data requests (see Metadata). The dataset contains over 5.3 million standardized and quality-controlled observations of dissolved oxygen, water temperature, total phosphorus, chlorophyll-a, water colour as well as sampling location, sampling date, sampling depth and key lake properties including lake altitude, surface area, mean depth and maximum depth. Ice phenology observations include ice freeze-up and breakup dates. We excluded lakes undergoing physical or chemical treatments against hypoxia, lakes in which experiments have been conducted (e.g. nutrient addition). and reservoirs.

The consumer of these data ("Data User" herein) should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors, original data providers and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. The data user may not create derivatives of this dataset or re-distribute these data to a third party.

Note: if you would like to use this data in your own study, you must contact the author (joachim.jansen@helsinki.fi) to ensure compliance with requirements of the contributors to this synthesis dataset,
DOI: 10.5281/zenodo.14445891
title: Water chemistry data from 19644 seasonally ice-covered lakes

description: This dataset contains water chemistry monitoring data and lake morphometry data from 19644 lakes collected between 1960 and 2022 in Finland, Sweden, Norway, Canada and the United States, as well as ice phenology observations from 1107 lakes in the same regions. Data was sourced from governmental databases and non-profit organizations via data portals and data requests (see Metadata). The dataset contains over 5.3 million standardized and quality-controlled observations of dissolved oxygen, water temperature, total phosphorus, chlorophyll-a, water colour as well as sampling location, sampling date, sampling depth and key lake properties including lake altitude, surface area, mean depth and maximum depth. Ice phenology observations include ice freeze-up and breakup dates. We excluded lakes undergoing physical or chemical treatments against hypoxia, lakes in which experiments have been conducted (e.g. nutrient addition). and reservoirs.

The consumer of these data ("Data User" herein) should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors, original data providers and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. The data user may not create derivatives of this dataset or re-distribute these data to a third party.

Note: if you would like to use this data in your own study, you must contact the author (joachim.jansen@helsinki.fi) to ensure compliance with requirements of the contributors to this synthesis dataset,
DOI: 10.15468/dl.ysr85y
title: Occurrence Download

description: A dataset containing 100955 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'BO'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 100955 records were derived from 474 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042319-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpgtra
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chroococcus Nägeli, 1849",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042339-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14848007
title: Multi-sensor microseismic event classification with SNR-based sensor selection and MPA-SincNet model

description: The uploaded .zip file contains data and network of mircoseismic classification program.

network Folder:





get_dataset.py: Used to construct the dataset.




ippa.py: Implements the IPPA attention mechanism, which consists of an Adaptive Average Pooling (AAP) block and an Adaptive Max Pooling (AMP) block.




sincnet.py: Contains the first layer structure of the SincNet model.




model.py: Implements the overall structure of the MPA-SincNet model, combining SincNet and the IPPA attention mechanism.



resources Folder:





checkpoint.pth: Saves model parameters during training for resuming training or inference.




raw_train_data.pkl: Raw training data, consisting of unprocessed signal data.




signal_selected_predict_data.pkl: Prediction data after signal selection and preprocessing.




signal_selected_train_data.pkl: Training data after signal selection and preprocessing.



main Folder:





data_select_and_preprocess.py: Used for signal selection and data preprocessing.




train.py: Contains training and validation code, responsible for the model training process, including loss calculation, optimizer setup, model saving, and performance evaluation.




predict.py: Contains prediction code, used to make predictions on new data using the trained model.



sensor_info Folder:





Contains sensor coordinates and detailed information on the event snr selected for each of the four sensor selection methods.
DOI: 10.5281/zenodo.15654539
title: Multi-sensor microseismic event classification with SNR-based sensor selection and MPA-SincNet model

description: The uploaded .zip file contains data and network of mircoseismic classification program.

network Folder:





get_dataset.py: Used to construct the dataset.




ippa.py: Implements the IPPA attention mechanism, which consists of an Adaptive Average Pooling (AAP) block and an Adaptive Max Pooling (AMP) block.




sincnet.py: Contains the first layer structure of the SincNet model.




model.py: Implements the overall structure of the MPA-SincNet model, combining SincNet and the IPPA attention mechanism.



resources Folder:





checkpoint.pth: Saves model parameters during training for resuming training or inference.




raw_train_data.pkl: Raw training data, consisting of unprocessed signal data.




signal_selected_predict_data.pkl: Prediction data after signal selection and preprocessing.




signal_selected_train_data.pkl: Training data after signal selection and preprocessing.



main Folder:





data_select_and_preprocess.py: Used for signal selection and data preprocessing.




train.py: Contains training and validation code, responsible for the model training process, including loss calculation, optimizer setup, model saving, and performance evaluation.




predict.py: Contains prediction code, used to make predictions on new data using the trained model.



sensor_info Folder:





Contains sensor coordinates and detailed information on the event snr selected for each of the four sensor selection methods.
DOI: 10.15468/dl.hdxe5d
title: Occurrence Download

description: A dataset containing 351366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callophrys rubi (Linnaeus, 1758)"
 ]
}

 The dataset includes 351366 records from 1705 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042322-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egpc68
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estudio poblacional y conservación del mono araña (Ateles geoffroyi yucatanensis) en la región nororiental Península de Yucatán"
 ]
}

 The dataset includes 84 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0376405-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d45svs
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Indonesia, Malaysia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Megaerops wetmorei Taylor, 1934"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087264-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63h3rr
title: Occurrence Download

description: A dataset containing 258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Rubus miser Liebm."
 ]
}

 The dataset includes 258 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005856-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.flzkah
title: Occurrence Download

description: A dataset containing 468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phyllodactylus lanei Smith, 1935",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 468 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014514-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qp545m
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypholophus ellipticus Wedd."
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015116-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4qh9v3
title: Occurrence Download

description: A dataset containing 1313 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Renealmia cernua (Sw. ex Roem. & Schult.) J.F.Macbr."
 ]
}

 The dataset includes 1313 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005837-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.osrg6t
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-170 9,-170 72,-50 72,-50 9,-170 9))",
 "HasCoordinate is true",
 "TaxonKey is Opuntia ficus-indica (L.) Mill.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 722 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014514-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2rngh
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Paralaudakia lehmanni (Nikolsky, 1896)"
 ]
}

 The dataset includes 39 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087277-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de7u7k
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia epacantha (Maslin) Maslin"
 ]
}

 The dataset includes 29 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005890-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ps2gwb
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema spinosum (Boiss.) N.Busch"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014515-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtqcgn
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Leiolepis boehmei Darevsky & Kupriyanova, 1993"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087273-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqhmyw
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centruroides noxius Hoffman, 1932",
 "Country is Mexico"
 ]
}

 The dataset includes 25 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014515-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6dcfj
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abutilon albidum (Willd.) Sweet"
 ]
}

 The dataset includes 68 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005963-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvcuzk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centaurea elegantissima Bornm."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087276-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6dejj
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Chrysanthemum ×morifolium Ramat.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 283 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014515-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9qbhr
title: Occurrence Download

description: A dataset containing 1005 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia erinacea Benth."
 ]
}

 The dataset includes 1005 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005966-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vn7c6x
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynanchum rauhianum Desc."
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015138-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcei8h
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema glaucescens (Boiss.) Bornm."
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014516-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.