cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9tae79
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cayratia yoshimurae (Makino) Suess. ex Suess.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201816-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55jvz9
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Interacciones en el dosel de la selva húmeda tropical e implementación de un sistema de estudio en este ambiente"
 ]
}

 The dataset includes 272 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276148-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gv4g9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Athrotaxis selaginoides D.Don",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0201826-220831081235567/datasets/export for details.
DOI: 10.15468/dl.jv4shm
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Ilex guayusa Loes."
 ]
}

 The dataset includes 82 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276225-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sv6uze
title: Occurrence Download

description: A dataset containing 29876 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus rubra L.",
 "BasisOfRecord is one of (Human Observation)",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2002",
 "Year is less than or equal to 2022"
 ]
}

 The dataset includes 29876 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208213-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzgtb6
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Greece",
 "Geometry POLYGON((14.09411 30.84006,40.02332 30.84006,40.02332 47.34046,14.09411 47.34046,14.09411 30.84006))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Moneses uniflora (L.) A.Gray"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288037-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhfgjm
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens maximowicziana Oett.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208221-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ug55fe
title: Occurrence Download

description: A dataset containing 17198 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "CoordinateUncertaintyInMeters 0.0-10000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Allium schoenoprasum L.",
 "Year 1960-2010"
 ]
}

 The dataset includes 17198 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276135-220831081235567/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.27620268
title: A Hybrid Ensemble Filtering Data Assimilation Scheme based on Coupling Physical and Deep Learning Models

description: Traditional ensemble filter assimilation is limited by the fact that only a single physical model can be used. The quality of the physical model largely determines the quality of assimilation. In the era of big data, deep learning models have shown strong performance in describing the dynamics of natural systems. In the assimilation framework of ensemble adjustment Kalman filter (EAKF), being able to fully utilize the interpretability of the physical model and the nonlinear modeling capability of the deep learning model, an ensemble adjustment Kalman filter coupling physical and deep learning models (PDL-EAKF) is designed. Firstly, the theoretical derivation and specific implementation steps of the PDL-EAKF method are presented. In the PDL-EAKF framework, the fitting coefficient (FC) is designed to couple the physical and deep learning models. Secondly, to identify the optimal FC, we created a neural network that integrates physical information related to FC into the loss function. The optimal FC is determined by minimizing the value of the loss function. The PDL-EAKF is systematically evaluated on the five-variable coupled climate model (5VCCM). The experimental results demonstrate that the assimilation effect of PDL-EAKF is superior to that of a single model under a long assimilation window and sparse observations, while it can also be achieved with a minimal ensemble size.By plotting the RMSE, frequency distribution histograms, and probability density curves of various variables at different time steps, PDL-EAKF provides better state estimation and demonstrates robust performance.
DOI: 10.6084/m9.figshare.27620268.v3
title: A Hybrid Ensemble Filtering Data Assimilation Scheme based on Coupling Physical and Deep Learning Models

description: Traditional ensemble filter assimilation is limited by the fact that only a single physical model can be used. The quality of the physical model largely determines the quality of assimilation. In the era of big data, deep learning models have shown strong performance in describing the dynamics of natural systems. In the assimilation framework of ensemble adjustment Kalman filter (EAKF), being able to fully utilize the interpretability of the physical model and the nonlinear modeling capability of the deep learning model, an ensemble adjustment Kalman filter coupling physical and deep learning models (PDL-EAKF) is designed. Firstly, the theoretical derivation and specific implementation steps of the PDL-EAKF method are presented. In the PDL-EAKF framework, the fitting coefficient (FC) is designed to couple the physical and deep learning models. Secondly, to identify the optimal FC, we created a neural network that integrates physical information related to FC into the loss function. The optimal FC is determined by minimizing the value of the loss function. The PDL-EAKF is systematically evaluated on the five-variable coupled climate model (5VCCM). The experimental results demonstrate that the assimilation effect of PDL-EAKF is superior to that of a single model under a long assimilation window and sparse observations, while it can also be achieved with a minimal ensemble size.By plotting the RMSE, frequency distribution histograms, and probability density curves of various variables at different time steps, PDL-EAKF provides better state estimation and demonstrates robust performance.
DOI: 10.6084/m9.figshare.27620268.v2
title: A Hybrid Ensemble Filtering Data Assimilation Scheme based on Coupling Physical and Deep Learning Models

description: Traditional ensemble filter assimilation is limited by the fact that only a single physical model can be used. The quality of the physical model largely determines the quality of assimilation. In the era of big data, deep learning models have shown strong performance in describing the dynamics of natural systems. In the assimilation framework of ensemble adjustment Kalman filter (EAKF), being able to fully utilize the interpretability of the physical model and the nonlinear modeling capability of the deep learning model, an ensemble adjustment Kalman filter coupling physical and deep learning models (PDL-EAKF) is designed. Firstly, the theoretical derivation and specific implementation steps of the PDL-EAKF method are presented. In the PDL-EAKF framework, the fitting coefficient (FC) is designed to couple the physical and deep learning models. Secondly, to identify the optimal FC, we created a neural network that integrates physical information related to FC into the loss function. The optimal FC is determined by minimizing the value of the loss function. The PDL-EAKF is systematically evaluated on the five-variable coupled climate model (5VCCM). The experimental results demonstrate that the assimilation effect of PDL-EAKF is superior to that of a single model under a long assimilation window and sparse observations, while it can also be achieved with a minimal ensemble size.By plotting the RMSE, frequency distribution histograms, and probability density curves of various variables at different time steps, PDL-EAKF provides better state estimation and demonstrates robust performance.
DOI: 10.15468/dl.mk3xjg
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Cochlostoma revised: the subgenus Clessiniella Zallot et al., 2015 (Caenogastropoda, Cochlostomatidae)",
 "Country is Croatia"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000493-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.wcg087q9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1710 records)
DOI: 10.15468/dl.q5ez8x
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Collections paléontologiques de l'Université Rennes 1",
 "Country is Croatia"
 ]
}

 The dataset includes 35 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000494-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzyp76
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Diptera Holarctic (MZH/Luomus, Helsinki, Finland)",
 "Country is Croatia"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000495-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14046401
title: ClimateNet Dataset as used in "Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data"

description: ClimateNet dataset as it was used by us for the study: "Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data" (https://gmd.copernicus.org/preprints/gmd-2024-60/).

 

For the original dataset refer to: https://portal.nersc.gov/project/ClimateNet/
DOI: 10.5281/zenodo.14046402
title: ClimateNet Dataset as used in "Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data"

description: ClimateNet dataset as it was used by us for the study: "Explaining neural networks for detection of tropical cyclones and atmospheric rivers in gridded atmospheric simulation data" (https://gmd.copernicus.org/preprints/gmd-2024-60/).

 

For the original dataset refer to: https://portal.nersc.gov/project/ClimateNet/
DOI: 10.15468/dl.k8jabq
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Croton brieyi De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 74 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000496-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5638g
title: Occurrence Download

description: A dataset listing the 339 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-74.05411 4.68141,-74.05803 4.67942,-74.05946 4.67134,-74.04609 4.66537,-74.04099 4.67469,-74.05411 4.68141))",
 "Year 2020-2024"
 ]
}

 The dataset's 339 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000465-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yj66ke
title: Occurrence Download

description: A dataset containing 2755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-74.25588 4.65713,-74.19626 4.65713,-74.19626 4.71243,-74.25588 4.71243,-74.25588 4.65713))"
 ]
}

 The dataset includes 2755 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000497-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zj75d7
title: Occurrence Download

description: A dataset containing 29858716 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 29858716 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000371-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpx45g
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Entomological Specimens of Museum of Nature and Human Activities, Hyogo Pref., Japan",
 "Country is Croatia"
 ]
}

 The dataset includes 33 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000498-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dqfqcj
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Herbario ABH (Universidad de Alicante)",
 "Country is Croatia"
 ]
}

 The dataset includes 39 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000502-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9u592
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is French Grapevine Genetic Resources Center",
 "Country is Croatia"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000501-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mm8aqu
title: Occurrence Download

description: A dataset containing 1824865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((-180 -23.5,180 -23.5,180 23.5,-180 23.5,-180 -23.5))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta",
 "Year 2001-2020"
 ]
}

 The dataset includes 1824865 records from 628 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000470-241106120511685/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfw5xk
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocoryne usteriana Engl."
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005059-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2j66zs
title: Occurrence Download

description: A dataset containing 697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Albugo tragopogonis, Albugo tragopogonis (DC.) Gray, Albugo tragopogonis (DC.) Gray, Albugo tragopogonis (Pers.) Gray, Albugo tragopogonis (Pers.) Gray, Albugo tragopogonis (DC.) Gray, Albugo tragopogonis (Pers.) Gray, Albugo tragopogonis (DC.) Gray, Albugo tragopogonis (Pers.) Gray, Albugo tragopogonis (DC.) Gray, Albugo tragopogonis (Pers.) Gray, Albugo tragopogonis (Pers.) Gray, Albugo tragopogonis (DC.) Gray, Albugo tragopogonis (Pers.) Gray, 1821, Albugo tragopogonis (Pers.) Gray, 1821, Pustula tragopogonis (Pers.) Thines, 2005, Scorzonera hispanica L., Senecio squalidus L., Tragopogon porrifolius L, Senecio vulgaris L., Cystopus cubicus de Bary, 1863, Uredo tragopogonis DC., 1805)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 697 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005061-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.phycaw
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eucinostomus entomelas Zahuranec, 1980"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005062-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqf3e5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocoryne vietnamensis I.Hertel & H.Mühlberg"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005063-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zbxu4
title: Occurrence Download

description: A dataset containing 68231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Microtus arvalis (Pallas, 1779)"
 ]
}

 The dataset includes 68231 records from 714 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005060-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkksz4
title: Occurrence Download

description: A dataset containing 5401 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Suncus etruscus (Savi, 1822)"
 ]
}

 The dataset includes 5401 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005064-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udf9pq
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptocoryne villosa N.Jacobsen"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005065-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ah64r
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alternaria infectoria, Alternaria infectoria, Alternaria infectoria E.G.Simmons, Alternaria infectoria E.G.Simmons, Alternaria infectoria E.G.Simmons, Alternaria infectoria E.G.Simmons, Alternaria infectoria E.G.Simmons, Alternaria infectoria E.G. Simmons, Alternaria infectoria E.G.Simmons, 1986, Alternaria infectoria E.G. Simmons, Alternaria infectoria E.G. Simmons, 161316786, Alternaria infectoria E.G.Simmons, 1986, Alternaria infectoria E.G. Simmons, 1986, Alternaria infectoria E.G. Simmons, Alternaria cf. infectoria, Alternaria cf. infectoria IHEM 28029, Alternaria cf. infectoria IHEM 27959, Alternaria cf. infectoria IHEM 27959, Alternaria cf. infectoria, Alternaria cf. infectoria IHEM 28029, Lewia infectoria (Fuckel) M.E. Barr & E.G. Simmons, Sphaeria infectoria (Fuckel) Cooke, Pleospora juncigena Cooke, Pleospora phaeocomoides (Fuckel) Wehm., Pleospora infectoria Fuckel, Pleospora infectoria Fuckel, Pleospora juncigena Cooke, Pleospora infectoria Fuckel, Lewia infectoria (Fuckel) M.E.Barr & E.G.Simmons, Pleospora infectoria Fuckel, Sphaeria infectoria (Fuckel) Cooke, Lewia infectoria (Fuckel) M.E. Barr & E.G. Simmons, Pleospora phaeocomoides subsp. infectoria (Fuckel) Wehm., Lewia infectoria Fuckel, Pleospora infectoria Fuckel, Sphaeria infectoria (Fuckel) Cooke, Pleospora juncigena Cooke, Pleospora infectoria Fuckel, Lewia infectoria (Fuckel) M.E.Barr & E.G.Simmons)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 192 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005066-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14060504
title: sargassum_fluitans_spades_01.fasta.gz
DOI: 10.5281/zenodo.14060505
title: sargassum_fluitans_spades_01.fasta.gz