cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10596462
title: Linked collectors and determiners for: Distribution and identification of the species in the genus Helicops Wagler, 1830 (Serpentes, Colubridae, Xenodontinae).

description: Natural history specimen data linked to collectors and determiners held within, "Distribution and identification of the species in the genus Helicops Wagler, 1830 (Serpentes, Colubridae, Xenodontinae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/07dc09bc-1a14-4846-b1f2-0ebba83ed4ad using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/07dc09bc-1a14-4846-b1f2-0ebba83ed4ad. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.13432912
title: Linked collectors and determiners for: Distribution and identification of the species in the genus Helicops Wagler, 1830 (Serpentes, Colubridae, Xenodontinae).

description: Natural history specimen data linked to collectors and determiners held within, "Distribution and identification of the species in the genus Helicops Wagler, 1830 (Serpentes, Colubridae, Xenodontinae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/07dc09bc-1a14-4846-b1f2-0ebba83ed4ad using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/07dc09bc-1a14-4846-b1f2-0ebba83ed4ad. Formatted as a Frictionless Data package.
DOI: 10.5281/zenodo.13978735
title: Linked collectors and determiners for: Distribution and identification of the species in the genus Helicops Wagler, 1830 (Serpentes, Colubridae, Xenodontinae).

description: Natural history specimen data linked to collectors and determiners held within, "Distribution and identification of the species in the genus Helicops Wagler, 1830 (Serpentes, Colubridae, Xenodontinae)". Claims or attributions were made on Bionomia by volunteer Scribes, https://bionomia.net/dataset/07dc09bc-1a14-4846-b1f2-0ebba83ed4ad using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, https://gbif.org/dataset/07dc09bc-1a14-4846-b1f2-0ebba83ed4ad. Formatted as a Frictionless Data package.
DOI: 10.15468/dl.zb6cod
title: Occurrence Download

description: A dataset containing 2981 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Asparagopsis armata Harv.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2981 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002308-190813142620410/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.25595778
title: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Current Result

description: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast

(Based on the data starting 264 hours before the current date, predicting 10 days after current day)

https://github.com/flyingtext/sonagi-model
DOI: 10.6084/m9.figshare.25595778.v1
title: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast Current Result

description: Universal Rapid Weather Prediction Model (Sonagi Model) Forecast

(Based on the data starting 264 hours before the current date, predicting 10 days after current day)

https://github.com/flyingtext/sonagi-model
DOI: 10.15468/dl.g8xkzn
title: Occurrence Download

description: A dataset containing 471 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nisaetus bartelsi (Stresemann, 1924)"
 ]
}

 The dataset includes 471 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014737-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcg5dk
title: Occurrence Download

description: A dataset containing 597192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Europe, North America, South America)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Poa annua L."
 ]
}

 The dataset includes 597192 records from 2435 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057891-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3khfbe
title: Occurrence Download

description: A dataset containing 1315783 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Agriphila geniculea (Haworth, 1811), Agriphila inquinatella (Denis & Schiffermüller), 1775, Agriphila selasella Hübner, Agriphila straminella (Denis & Schiffermüller), 1775, Agriphila tristellus (Denis & Schiffermüller), 1775, Agrochola circellaris Hufnagel, 1766, Agrochola litura Linnaeus, 1761, Agrochola lota Clerck, 1759, Agrochola lunosa Haworth, 1809, Agrochola lychnidis (Denis & Schiffermüller), 1775, Agrochola pistacinoides d'Aubuisson, 1867, Agrotis bigramma (Esper), Agrotis exclamationis (Linnaeus, 1758), Agrotis ipsilon (Hufnagel, 1766), Agrotis segetum (Denis & Schiffermüller), 1775)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 1315783 records from 879 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072714-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5syu3m
title: Occurrence Download

description: A dataset listing the 997 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-50.34173 -25.46468,-50.3281 -25.47747,-50.31802 -25.48452,-50.30014 -25.48305,-50.27869 -25.48246,-50.26179 -25.48305,-50.23286 -25.48011,-50.20815 -25.47278,-50.18052 -25.45781,-50.13631 -25.4449,-50.10511 -25.4355,-50.07845 -25.4402,-50.06545 -25.44519,-50.04822 -25.44431,-50.01734 -25.44783,-49.97866 -25.45194,-49.9572 -25.46163,-49.9325 -25.47278,-49.90422 -25.48334,-49.87854 -25.48862,-49.85546 -25.48833,-49.79348 -25.48187,-49.76625 -25.47941,-49.76761 -25.45729,-49.81117 -25.45913,-49.86019 -25.46773,-49.8881 -25.46036,-49.92077 -25.45114,-49.95481 -25.43516,-50.02152 -25.41979,-50.06236 -25.41548,-50.10661 -25.41364,-50.15513 -25.42286,-50.22737 -25.45485,-50.25426 -25.45823,-50.27264 -25.45761,-50.28251 -25.46007,-50.29816 -25.46222,-50.3145 -25.46622,-50.32335 -25.45915,-50.33424 -25.45024,-50.34377 -25.45331,-50.34173 -25.46468))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 997 records were derived from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072712-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26165/juelich-data/vdtwyd
title: Replication Data for: Vertical structure of Sb-intercalated quasifreestanding graphene on SiC(0001)

description: All file names should be self-explanatory Fig. 2:i09-180152*nxs: ZLG with incomplete Sb intercalationi09-193452*nxs: Sb-intercalated QFMLG Fig. 3:*C1s_XSW*[1 3].dat: Yield curve of the C1s graphene component*C1s_XSW*[2].dat: Yield curve of the C1s bulk component
DOI: 10.5281/zenodo.13765464
title: How to select predictive models for decision making or causal inference? Experiments data

description: This is the full result data for the experiments of the paper : Doutreligne, M., & Varoquaux, G. (2023). How to select predictive models for decision making or causal inference?, https://hal.science/hal-03946902. The code repository is : https://github.com/soda-inria/caussim/tree/main

The files in this dataset are the one for the most computationnally costly experiments. There is one folder for each of the four datasets used in the paper. Then, one folder for each of the experimental setup. The files required for the main figure (Fig.3) of the paper are the one labelled #fig3 in the following descriptions.

Details on the files : 

.├── acic_2016_save│   ├── acic_2016__nuisance_non_linear__candidates_hist_gradient_boosting__dgp_1-77__rs_1-5│   │   └── run_logs.csv: results for the experiment with non linear models  for both the nuisances and the candidates│   ├── acic_2016__nuisance_non_linear__candidates_ridge__dgp_1-77__rs_1-10│   │   └── run_logs.csv: results for the experiment with non linear models  for the nuisances and linear models for the candidates│   └── acic_2016__stacked_regressor__dgp_1-77__seed_1-10│       └── run_logs.csv: results for the experiment with stacked models (linear and non linear) for the nuisances and non linear models for the candidates #fig3├── acic_2018_save│   └── acic_2018__nuisance_non_linear__candidates_hist_gradient_boosting__first_uid_432│       └── run_logs.csv results for the experiment with stacked models (linear and non linear) for the nuisances models and non linear models for the candidates #fig3├── caussim_save│   ├── caussim__linear_regressor__test_size_5000__n_datasets_1000│   │   ├── run_logs.csv: results for the experiment with stacked models for the nuisances models and linear models for the candidates │   │   └── simu.yaml: configuration file of the experiment│   ├── caussim__nuisance_non_linear__candidates_ridge__overlap_01-247_join_nuisance_train_set│   │   └── run_logs.csv: results for the experiment with non linear models  for the nuisances and linear models for the candidates, joined sets for the nuisances and the candidates│   ├── caussim__nuisance_non_linear__candidates_ridge__overlap_01-247_separated_nuisance_train_set│   │   └── run_logs.csv: results for the experiment with non linear models  for the nuisances and linear models for the candidates, separated sets for the nuisances and the candidates│   └── caussim__stacked_regressor__test_size_5000__n_datasets_1000│       ├── run_logs.csv: results for the experiment with stacked models (linear and non linear) for the nuisances and linear models for the candidates #fig3│       └── simu.yaml: configuration file of the experiment└── twins_save    └── twins__stacked_regressor__rs_1-10__overlap_0.1-3        └── run_logs.csv: results for the experiment with stacked models (linear and non linear) for the nuisances and non linear models for the candidates #fig3
DOI: 10.5281/zenodo.13765465
title: How to select predictive models for decision making or causal inference? Experiments data

description: This is the full result data for the experiments of the paper : Doutreligne, M., & Varoquaux, G. (2023). How to select predictive models for decision making or causal inference?, https://hal.science/hal-03946902. The code repository is : https://github.com/soda-inria/caussim/tree/main

The files in this dataset are the one for the most computationnally costly experiments. There is one folder for each of the four datasets used in the paper. Then, one folder for each of the experimental setup. The files required for the main figure (Fig.3) of the paper are the one labelled #fig3 in the following descriptions.

Details on the files : 

.├── acic_2016_save│   ├── acic_2016__nuisance_non_linear__candidates_hist_gradient_boosting__dgp_1-77__rs_1-5│   │   └── run_logs.csv: results for the experiment with non linear models  for both the nuisances and the candidates│   ├── acic_2016__nuisance_non_linear__candidates_ridge__dgp_1-77__rs_1-10│   │   └── run_logs.csv: results for the experiment with non linear models  for the nuisances and linear models for the candidates│   └── acic_2016__stacked_regressor__dgp_1-77__seed_1-10│       └── run_logs.csv: results for the experiment with stacked models (linear and non linear) for the nuisances and non linear models for the candidates #fig3├── acic_2018_save│   └── acic_2018__nuisance_non_linear__candidates_hist_gradient_boosting__first_uid_432│       └── run_logs.csv results for the experiment with stacked models (linear and non linear) for the nuisances models and non linear models for the candidates #fig3├── caussim_save│   ├── caussim__linear_regressor__test_size_5000__n_datasets_1000│   │   ├── run_logs.csv: results for the experiment with stacked models for the nuisances models and linear models for the candidates │   │   └── simu.yaml: configuration file of the experiment│   ├── caussim__nuisance_non_linear__candidates_ridge__overlap_01-247_join_nuisance_train_set│   │   └── run_logs.csv: results for the experiment with non linear models  for the nuisances and linear models for the candidates, joined sets for the nuisances and the candidates│   ├── caussim__nuisance_non_linear__candidates_ridge__overlap_01-247_separated_nuisance_train_set│   │   └── run_logs.csv: results for the experiment with non linear models  for the nuisances and linear models for the candidates, separated sets for the nuisances and the candidates│   └── caussim__stacked_regressor__test_size_5000__n_datasets_1000│       ├── run_logs.csv: results for the experiment with stacked models (linear and non linear) for the nuisances and linear models for the candidates #fig3│       └── simu.yaml: configuration file of the experiment└── twins_save    └── twins__stacked_regressor__rs_1-10__overlap_0.1-3        └── run_logs.csv: results for the experiment with stacked models (linear and non linear) for the nuisances and non linear models for the candidates #fig3
DOI: 10.15468/dl.jqmbqm
title: Occurrence Download

description: A dataset containing 1004973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alcis repandata (Linnaeus, 1758), Allophyes oxyacanthae (Linnaeus, 1758), Ammoconia caecimacula (Denis & Schiffermüller), 1775, Amphipoea oculea Linnaeus, 1761, Amphipyra berbera Rungs, 1949, Amphipyra pyramidea (Linnaeus, 1758), Anania coronata (Hufnagel, 1767), Anania hortulata Linnaeus, 1758, Anaplectoides prasina (Denis & Schiffermüller), 1775, Anarta trifolii Hufnagel, 1766, Ancylis achatana (Denis & Schiffermüller), 1775, Anorthoa munda (Denis & Schiffermüller), 1775, Apamea aquila Donzel, 1837, Apamea crenata (Hufnagel, 1766), Apamea epomidion (Haworth, 1809))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 1004973 records from 812 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072716-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p9ewjk
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Four new species and new records of the Neotropical genus Alloraphes Franz (Coleoptera: Staphylinidae: Scydmaeninae)"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133821-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwy9a5
title: Occurrence Download

description: A dataset containing 80750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is International Barcode of Life project (iBOL)",
 "GadmLevel0Gid is NOR"
 ]
}

 The dataset includes 80750 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004876-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp23s3
title: Occurrence Download

description: A dataset containing 1085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plethodon variolatus (Gilliams, 1818)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1085 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002680-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmd8f6
title: Occurrence Download

description: A dataset containing 431061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Arctiidae"
 ]
}

 The dataset includes 431061 records from 407 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0422780-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aawsx7
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plethodon amplus Highton & Peabody, 2000",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 291 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002686-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kqugjb
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-115.27245 -29.42031,-5.72755 -29.42031,-5.72755 14.42031,-115.27245 14.42031,-115.27245 -29.42031))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cattleya violacea (Kunth) Lindl."
 ]
}

 The dataset includes 36 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217576-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y49k3j
title: Occurrence Download

description: A dataset containing 708 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nissolia brasiliensis (Vogel) T.M.Moura & Fort.-Perez"
 ]
}

 The dataset includes 708 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133805-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.emz4mm
title: Occurrence Download

description: A dataset containing 34608 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudorasbora parva (Temminck & Schlegel, 1846)"
 ]
}

 The dataset includes 34608 records from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217571-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a4aec7
title: Occurrence Download

description: A dataset containing 83875 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CollectionCode is PL",
 "InstitutionCode is nsmk",
 "PublishingOrg is eb07eeb0-3db9-11d9-8439-b8a03c50a862"
 ]
}

 The dataset includes 83875 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022253-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7abm4f
title: Occurrence Download

description: A dataset containing 1628 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphorbia helioscopia L."
 ]
}

 The dataset includes 1628 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0422037-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.adaw5n
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Australia",
 "TaxonKey is Calystegia silvatica (Kit.) Griseb."
 ]
}

 The dataset includes 103 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022247-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qsf9wb
title: Occurrence Download

description: A dataset containing 104680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 104680 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0422770-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mqxhb
title: Occurrence Download

description: A dataset containing 3522 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callisia serrulata (Vahl) Christenh. & Byng"
 ]
}

 The dataset includes 3522 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022242-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqwkjv
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthocomus fenestratus Linder, 1864"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217577-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xrn4h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tripogon borii Kabeer, V.J.Nair & G.V.S.Murthy"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022268-230810091245214/datasets/export for details.
DOI: 10.15468/dl.9eeq72
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217579-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.