cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t7yxmm
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hibiscus clypeatus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 312 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020797-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujr8jr
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porcellionides pruinosus",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 93 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020800-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eu5rat
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porcellionides pruinosus",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020801-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4qgrx
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hibiscus waimeae hannerae",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020802-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13182509
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.6zyx6v
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydaticus rhantoides",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020804-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4e79p9
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porcellionides pruinosus",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020807-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9b8ty
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porcellionides pruinosus",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 167 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020808-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pncr7n
title: Occurrence Download

description: A dataset containing 46146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterois volitans"
 ]
}

 The dataset includes 46146 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020806-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16968019
title: Towards generalizable deep ptychography neural networks - Data and Model artifacts

description: This data repository contains the training datasets for all ptychography experiments used in the manuscript. To ensure full replicability, it is recommended each of these files be moved into the root directory of the accompanying repository located here: [https://github.com/AdvancedPhotonSource/PtychoPINN-torch-pub]. They must be unzipped and placed in the root directory to be read/accessible.

All files are named the same as their corresponding references in the manuscript, and further details on the experiments themselves are in the manuscript.

The model artifacts needed for full replicability are also included, which were created using mlflow as experiment tracking software. The accompanying notebook in the code repository, "recreate_results.ipynb", contains dictionaries that reference specific file uris that can be used to re-train or perform inference using the same model/data setup as was reported.
DOI: 10.5281/zenodo.16968020
title: Towards generalizable deep ptychography neural networks - Data and Model artifacts

description: This data repository contains the training datasets for all ptychography experiments used in the manuscript. To ensure full replicability, it is recommended each of these files be moved into the root directory of the accompanying repository located here: [https://github.com/AdvancedPhotonSource/PtychoPINN-torch-pub]. They must be unzipped and placed in the root directory to be read/accessible.

All files are named the same as their corresponding references in the manuscript, and further details on the experiments themselves are in the manuscript.

The model artifacts needed for full replicability are also included, which were created using mlflow as experiment tracking software. The accompanying notebook in the code repository, "recreate_results.ipynb", contains dictionaries that reference specific file uris that can be used to re-train or perform inference using the same model/data setup as was reported.
DOI: 10.5281/zenodo.15640843
title: Climate vulnerability of Earth's terrestrial biomes

description: This repository contains the code and used for the analyses in the paper "Climate vulnerability of Earth’s terrestrial biomes"



The repo is organized as follows:



Code contains all the code that was used for the analysis and to generate figures



Forcasting_Earths_Biomes.ipynb runs the whole analysis

Generate_Maps_And_Statistics.js was used to compute all the spatial statistics and to generate the final maps (incl. the extent of extrapolation vs interpolation)

Figures.R is used to generate the figures and tables (Figure 1-4, S2, and Table S1 - S3)







Data contains all the data necessary to either run a script or to generate the figures

Figures contains all the figures for the paper

Maps contains the contemporary and future ensemble estimates of biome-climate envelopes


 



The general method of the paper is the following:

We calibrate probabilistic machine learning models to classify the Earth’s fourteen biomes at global scale using 25 environmental varaibles and assess its accuracy. By doing so we identify the biome-climate envelopes (BCEs) that govern the abiotic component of the Earth’s biomes. We then apply this model to global climate change scenarios to predict Earth’s BCEs in the future under RCP 4.5 and 8.5 scenarios, a conservative and most likely potential climate future. Using this approach we assess the vulnerability of Earth’s terrestrial BCEs to future global change.

1. we use the RESOLVE global biome product (Dinerstein et al., 2017) as training, validation and test datasets for our biome classification model

2. we tune the hyperparameters of the model and evaluate it

3. we use the hyperparameters to train an ensemble of 1000 random forest models on randomly sampled training datasets each selected with a different random seed, and each with 2,500 random point locations per biome

4. we generate 1,000 biome predictions per pixel by classifying every pixel in the environmental composite layer stack using either



present climate or

future climate (RCP4.5 and RCP8.5)


5. consensus biome classifications were made using the most frequent biome prediction within each pixel
DOI: 10.5281/zenodo.15640844
title: Climate vulnerability of Earth's terrestrial biomes

description: This repository contains the code and used for the analyses in the paper "Climate vulnerability of Earth’s terrestrial biomes"



The repo is organized as follows:



Code contains all the code that was used for the analysis and to generate figures



Forcasting_Earths_Biomes.ipynb runs the whole analysis

Generate_Maps_And_Statistics.js was used to compute all the spatial statistics and to generate the final maps (incl. the extent of extrapolation vs interpolation)

Figures.R is used to generate the figures and tables (Figure 1-4, S2, and Table S1 - S3)







Data contains all the data necessary to either run a script or to generate the figures

Figures contains all the figures for the paper

Maps contains the contemporary and future ensemble estimates of biome-climate envelopes


 



The general method of the paper is the following:

We calibrate probabilistic machine learning models to classify the Earth’s fourteen biomes at global scale using 25 environmental varaibles and assess its accuracy. By doing so we identify the biome-climate envelopes (BCEs) that govern the abiotic component of the Earth’s biomes. We then apply this model to global climate change scenarios to predict Earth’s BCEs in the future under RCP 4.5 and 8.5 scenarios, a conservative and most likely potential climate future. Using this approach we assess the vulnerability of Earth’s terrestrial BCEs to future global change.

1. we use the RESOLVE global biome product (Dinerstein et al., 2017) as training, validation and test datasets for our biome classification model

2. we tune the hyperparameters of the model and evaluate it

3. we use the hyperparameters to train an ensemble of 1000 random forest models on randomly sampled training datasets each selected with a different random seed, and each with 2,500 random point locations per biome

4. we generate 1,000 biome predictions per pixel by classifying every pixel in the environmental composite layer stack using either



present climate or

future climate (RCP4.5 and RCP8.5)


5. consensus biome classifications were made using the most frequent biome prediction within each pixel
DOI: 10.15468/dl.79kqq7
title: Occurrence Download

description: A dataset containing 384 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Porcellionides pruinosus",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 384 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020810-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zj86nw
title: Occurrence Download

description: A dataset containing 3358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leopardus guigna"
 ]
}

 The dataset includes 3358 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020809-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/qdkhrw
title: Validação de uma calculadora para predizer o número de óvulos em metáfase II necessários para a obtenção de pelo menos um embrião euploide tendo a taxa de nascido vivo cumulativa como resultado primário e os fatores associados ao sucesso do tratamento em casais submetidos a fertilização in vitro com injeção intracitoplasmática de espermatozoides (FIV-ICSI) como desfecho primário

description: Análise de banco de dados com 7.000 casos de FIV-ICSI para avaliar a taxa de nascido vivo dos casais submetidos ao tratamento de FIV-ICSI, e que tiveram captação oocitária, quando se atinge ou não o número de oócitos maduros sugerido pela calculadora, para três probabilidades de sucesso (π), 70%, 80%, e 90%. 2.2.2. Avaliar a taxa de nascido vivo dos casais submetidos ao tratamento de FIV-ICSI, e que tiveram captação oocitária, quando se atinge ou não o número de oócitos maduros sugerido pela calculadora, para três probabilidades de sucesso (π), 70%, 80%, e 90%, estratificado por quatro faixas de idade materna, &lt;30 anos, 30-34 anos, 35-40 anos, e &gt;40 anos. Trata-se de um arquivo com informações anonimizadas de casais submetidos a tratamento de fertilização de FIV-ICSi de 2014 a 2017 vinculada à defesa de TESE de Doutorado da aluna Fabiana Yumi Nakano. Por razões de confidencialidade, os dados não estão disponíveis. Para mais dúvidas, contate os autores.
DOI: 10.15468/dl.ts2n85
title: Occurrence Download

description: A dataset containing 619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abscondita cerata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 619 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020812-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8d6jr
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Honduras, Guatemala, El Salvador, Belize, Nicaragua)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Hypopachus variolosus"
 ]
}

 The dataset includes 276 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020813-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/sbnr-8505
title: ESRF Atlantic Canada Passive Acoustic Monitoring 2015-2017 Raw Audio
DOI: 10.15468/dl.nh8ptu
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer domesticus",
 "Country is Hungary",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is 2000"
 ]
}

 The dataset includes 81 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020815-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6kxfj6
title: Occurrence Download

description: A dataset containing 1386808 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calidris pugnax)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1386808 records from 789 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020777-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21942/uva.30223348
title: STATA file study 1 CEO M-F and CSR

description: This dataset contains data on S&P100 firms and their CEOs (2003-2013). Sources include common databases such as Compustat, Boardex, MSCI ESG, and data derived from letters to shareholders. M-F was derived through the application of a linguistic dictionary in NVivo on letters to shareholders written bij CEOs. Analyses were performed in STATA using GEE models.
DOI: 10.21942/uva.30223348.v1
title: STATA file study 1 CEO M-F and CSR

description: This dataset contains data on S&P100 firms and their CEOs (2003-2013). Sources include common databases such as Compustat, Boardex, MSCI ESG, and data derived from letters to shareholders. M-F was derived through the application of a linguistic dictionary in NVivo on letters to shareholders written bij CEOs. Analyses were performed in STATA using GEE models.
DOI: 10.5281/zenodo.17211092
title: Table 1. Summary statistics for eigth microsatelite loci among Piaractus mesopomicus collections. N in Population genetic structuring in pacu (Piaractus mesopotamicus) across the Paraná-Paraguay basin: evidence from microsatellites

description: Table 1. Summary statistics for eigth microsatelite loci among Piaractus mesopomicus collections. N = number of individuals; Na = number of alleles; Np = number of private alleles; He = expected heterozygosity; Ho = observed heterozygosity; HW = probability values of concordance with Hardy-Weinberg expectations; Fis = computed as in Weir & Cockerham (1984); - = only one allele; *significant p <0.05 after Bonferroni correction.
SampleNLociPme2Pme4Pme5Pme14Pme20Pme21Pme28Pme32Cuiabá29Na/Np9/17/09/15/14/13/013/12/1He0.799150.711430.830010.522690.554750.355110.837270.06836Ho0.620690.724140.827590.448280.517240.344830.862070.03448HW0.25250.84540.98390.17160.84110.45920.1335-Fis0.2038-0.0182-0.0020.14450.0687-0.0546-0.0309-Paraguay5Na/Np7/26/05/02/03/03/05/01/0He1.000000.866670.866670.377780.666670.533330.80000-Ho1.000001.000000.600000.200000.200000.400000.60000-HW1.000000.76970.04711.00000.11071.000000.4663-Fis-0.1111-0.17650.27270.00000.6364-0.06670.2727-Miranda + Aquidauana22Na/Np10/08/28/13/03/03/09/02/0He0.857290.707190.820300.559200.559200.420720.819240.13214Ho0.818180.727270.818180.545450.363640.272730.681820.09091HW0.41520.96290.32770.82110.27620.02430.04791.00000Fis0.0467-0.04350.0026-0.11110.30150.34880.1578-0.0244Taquari26Na/Np8/08/17/03/05/03/010/12/0He0.851430.735290.772250.445700.523380.248870.746610.14706Ho0.846150.538460.923080.538460.538460.153850.653850.11538HW0.09700.0014*0.94860.55610.51240.03490.23311.00000Fis-0.00360.2529-0.2000-0.2132-0.02940.28570.1264-0.0417Paraná29NaNp9/06/08/04/04/03/010/02/0He0.794310.772530.816090.399270.569270.249850.782820.24198Ho0.724140.793100.758620.482760.620690.241380.620690.27586HW0.66290.05380.0007*0.82430.43731.000000.00000*1.00000Fis0.0798-0.04460.0653-0.2136-0.0921-0.10110.1923-0.1429Paranapanema11Na/Np6/06/04/04/13/01/08/12/0He0.796540.619050.683980.727270.406930.259740.813850.38528Ho0.909090.636360.636360.818180.181820.000000.818180.36364HW0.14210.16371.000000.08530.0970-0.15081.00000Fis-0.1494-0.02940.0000-0.37290.4595--0.0056-0.1765
description: Published as part of Calcagnotto, Daniela & DeSalle, Rob, 2009, Population genetic structuring in pacu (Piaractus mesopotamicus) across the Paraná-Paraguay basin: evidence from microsatellites, pp. 610 in Neotropical Ichthyology 7 (4) on page 610, DOI: 10.1590/s1679-62252009000400008, http://zenodo.org/record/17211080
DOI: 10.5281/zenodo.17211093
title: Table 1. Summary statistics for eigth microsatelite loci among Piaractus mesopomicus collections. N in Population genetic structuring in pacu (Piaractus mesopotamicus) across the Paraná-Paraguay basin: evidence from microsatellites

description: Table 1. Summary statistics for eigth microsatelite loci among Piaractus mesopomicus collections. N = number of individuals; Na = number of alleles; Np = number of private alleles; He = expected heterozygosity; Ho = observed heterozygosity; HW = probability values of concordance with Hardy-Weinberg expectations; Fis = computed as in Weir & Cockerham (1984); - = only one allele; *significant p <0.05 after Bonferroni correction.
SampleNLociPme2Pme4Pme5Pme14Pme20Pme21Pme28Pme32Cuiabá29Na/Np9/17/09/15/14/13/013/12/1He0.799150.711430.830010.522690.554750.355110.837270.06836Ho0.620690.724140.827590.448280.517240.344830.862070.03448HW0.25250.84540.98390.17160.84110.45920.1335-Fis0.2038-0.0182-0.0020.14450.0687-0.0546-0.0309-Paraguay5Na/Np7/26/05/02/03/03/05/01/0He1.000000.866670.866670.377780.666670.533330.80000-Ho1.000001.000000.600000.200000.200000.400000.60000-HW1.000000.76970.04711.00000.11071.000000.4663-Fis-0.1111-0.17650.27270.00000.6364-0.06670.2727-Miranda + Aquidauana22Na/Np10/08/28/13/03/03/09/02/0He0.857290.707190.820300.559200.559200.420720.819240.13214Ho0.818180.727270.818180.545450.363640.272730.681820.09091HW0.41520.96290.32770.82110.27620.02430.04791.00000Fis0.0467-0.04350.0026-0.11110.30150.34880.1578-0.0244Taquari26Na/Np8/08/17/03/05/03/010/12/0He0.851430.735290.772250.445700.523380.248870.746610.14706Ho0.846150.538460.923080.538460.538460.153850.653850.11538HW0.09700.0014*0.94860.55610.51240.03490.23311.00000Fis-0.00360.2529-0.2000-0.2132-0.02940.28570.1264-0.0417Paraná29NaNp9/06/08/04/04/03/010/02/0He0.794310.772530.816090.399270.569270.249850.782820.24198Ho0.724140.793100.758620.482760.620690.241380.620690.27586HW0.66290.05380.0007*0.82430.43731.000000.00000*1.00000Fis0.0798-0.04460.0653-0.2136-0.0921-0.10110.1923-0.1429Paranapanema11Na/Np6/06/04/04/13/01/08/12/0He0.796540.619050.683980.727270.406930.259740.813850.38528Ho0.909090.636360.636360.818180.181820.000000.818180.36364HW0.14210.16371.000000.08530.0970-0.15081.00000Fis-0.1494-0.02940.0000-0.37290.4595--0.0056-0.1765
description: Published as part of Calcagnotto, Daniela & DeSalle, Rob, 2009, Population genetic structuring in pacu (Piaractus mesopotamicus) across the Paraná-Paraguay basin: evidence from microsatellites, pp. 610 in Neotropical Ichthyology 7 (4) on page 610, DOI: 10.1590/s1679-62252009000400008, http://zenodo.org/record/17211080
DOI: 10.5281/zenodo.17211094
title: Table 2 in Population genetic structuring in pacu (Piaractus mesopotamicus) across the Paraná-Paraguay basin: evidence from microsatellites

description: Table 2. Summary statistics for allelic variation at eight microsatellite loci for P. mesopotamicus across samples. N A = number of alleles. Allele frequencies for the first three most abundant alleles. In parentesis allele size in base pairs. F IS = genetic variation within subsample. F IT = genetic variation in the total sample. F ST = genetic divergence among populations measured by Θ (Weir & Cockerham, 1984).
Allele Frequency (lenght)LociNAFirstSecondThirdFISFITFSTPme2110.270 (203)0.241 (205)0.147 (207)0.0550.0710.017Pme4110.454 (206)0.172 (202)0.122 (208)0.0210.0410.020Pme5100.286 (194)0.229 (200)0.204 (196)-0.0150.0070.021Pme1460.663 (203)0.254 (206)0.032 (200)-0.111-0.0960.013Pme2060.623 (214)0.291 (216)0.049 (210)0.0930.0980.005Pme2130.840 (266)0.098 (260)0.053 (268)0.1100.1170.008Pme28180.385 (223)0.196 (209)0.098 (215)0.1010.1050.004Pme3230.926 (247)0.069 (241)0.004 (250)-0.108-0.0620.041Total68---0.0310.0150.045
description: Published as part of Calcagnotto, Daniela & DeSalle, Rob, 2009, Population genetic structuring in pacu (Piaractus mesopotamicus) across the Paraná-Paraguay basin: evidence from microsatellites, pp. 611 in Neotropical Ichthyology 7 (4) on page 611, DOI: 10.1590/s1679-62252009000400008, http://zenodo.org/record/17211080