cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8039249
title: Data from: Time dependent niche and fitness differences explain higher order species interactions – experimental evidence in plant-feeding arthropods

description: <strong>Filename: trajectories.csv</strong> <strong>id</strong>: replicate identifier<br> <strong>variant</strong>: co-existence status ("competition" or "monoculture")<br> <strong>day</strong>: day of experiment<br> <strong>species</strong>: mite species ("CRM" or "WCM")<br> <strong>n</strong>: population density <strong>Filename: model.RData</strong> The GAMM fitted in R to population trajectories data. <strong>Filename: sim.csv</strong><br> <strong>day</strong>: day of experiment<br> <strong>spec_var</strong>: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")<br> 10k population densities simulated from the fitted GAMM <br> <strong>Filename: NFD_over_time_monte_carlo_gam.py</strong> Python script to compute niche and fitness differences. Takes <strong>sim.csv</strong> (densities over time for different instantiations) and <strong>model.RData</strong> ( stores the GAMM from R for the growth rates) as input and generates the file <strong>Data_NFD_monte_carlo_multi_c_new.csv</strong> which stores the niche and fitness differences computed for these communities.
description: The study was supported by National Science Centre Poland (NSC) Grant No. 2019/35/N/NZ8/02639 to Agnieszka Majer (design and execution of experiments) and Grant No. 2018/29/B/NZ8/00066 to Lechosław Kuczyński (conceptualisation and methodological development).
DOI: 10.15468/dl.ce8xf5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-10.14917 36.86353,-7.27515 36.86353,-7.27515 42.32153,-10.14917 42.32153,-10.14917 36.86353))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fundulus heteroclitus (Linnaeus, 1766)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0099553-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh2ucu
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kuwait",
 "TaxonKey is Limonium carnosum (Boiss.) Kuntze"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8047537
title: Data from: Time dependent niche and fitness differences explain higher order species interactions – experimental evidence in plant-feeding arthropods

description: <strong>trajectories.csv </strong>(the raw data) <strong>id</strong>: replicate identifier<br> <strong>variant</strong>: co-existence status ("competition" or "monoculture")<br> <strong>day</strong>: day of experiment<br> <strong>species</strong>: mite species ("CRM" or "WCM")<br> <strong>n</strong>: population density <strong>model.R</strong> The R script with the GAMM fitted to the trajectory data; also produces simulations from this model (saved as <strong>sim.csv</strong>). <strong>sim.csv</strong> (simulations from the GAMM) <strong>day</strong>: day of experiment<br> <strong>spec_var</strong>: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")<br> <strong>X1:X1000</strong>: population densities simulated from the fitted GAMM (on the log scale) <strong>reg.RData</strong> The GAMM for growth rates. <strong>NFD_over_time_monte_carlo_gam.py</strong> Python script to compute niche and fitness differences. Takes <strong>sim.csv</strong> (densities over time for different instantiations) and <strong>reg.RData</strong> ( stores the GAMM from R for the growth rates) as input and generates the file <strong>Data_NFD_monte_carlo_multi_c.csv</strong> which stores the niche and fitness differences computed for these communities. <strong>figures.R</strong> The R script that produces Figures 2-5.
description: The study was supported by National Science Centre Poland (NSC) Grant No. 2019/35/N/NZ8/02639 to Agnieszka Majer (design and execution of experiments) and Grant No. 2018/29/B/NZ8/00066 to Lechosław Kuczyński (conceptualisation and methodological development).
DOI: 10.15468/dl.gsuxtb
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypoestes cernua Nees"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029564-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7885855
title: Data from: Time dependent niche and fitness differences explain higher order species interactions – experimental evidence in plant-feeding arthropods

description: <strong>Filename: trajectories.csv </strong> <strong>id</strong>: replicate identifier<br> <strong>variant</strong>: co-existence status ("competition" or "monoculture")<br> <strong>day</strong>: day of experiment<br> <strong>species</strong>: mite species ("CRM" or "WCM")<br> <strong>n</strong>: population density
description: The research was supported by the National Science Centre, Poland (grants no. 2018/29/B/NZ8/00066 and 2019/35/N/NZ8/02639 ).
DOI: 10.15468/dl.b3hm9q
title: Occurrence Download

description: A dataset containing 23131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Asilidae"
 ]
}

 The dataset includes 23131 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8043261
title: Data from: Time dependent niche and fitness differences explain higher order species interactions – experimental evidence in plant-feeding arthropods

description: <strong>Filename: trajectories.csv</strong> <strong>id</strong>: replicate identifier<br> <strong>variant</strong>: co-existence status ("competition" or "monoculture")<br> <strong>day</strong>: day of experiment<br> <strong>species</strong>: mite species ("CRM" or "WCM")<br> <strong>n</strong>: population density <strong>Filename: model.RData</strong> The GAMM fitted in R to population trajectories data. <strong>Filename: sim.csv</strong><br> <strong>day</strong>: day of experiment<br> <strong>spec_var</strong>: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")<br> <strong>X1:X1000</strong>: population densities simulated from the fitted GAMM <br> <strong>Filename: NFD_over_time_monte_carlo_gam.py</strong> Python script to compute niche and fitness differences. Takes <strong>sim.csv</strong> (densities over time for different instantiations) and <strong>model.RData</strong> ( stores the GAMM from R for the growth rates) as input and generates the file <strong>Data_NFD_monte_carlo_multi_c_new.csv</strong> which stores the niche and fitness differences computed for these communities.
description: The study was supported by National Science Centre Poland (NSC) Grant No. 2019/35/N/NZ8/02639 to Agnieszka Majer (design and execution of experiments) and Grant No. 2018/29/B/NZ8/00066 to Lechosław Kuczyński (conceptualisation and methodological development).
DOI: 10.15468/dl.7ukeqg
title: Occurrence Download

description: A dataset containing 38410 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 38410 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142523-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p3qed6
title: Occurrence Download

description: A dataset containing 601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cocos nucifera L.",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "Country is Puerto Rico",
 "GadmGid is PRI"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 601 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029398-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10210538
title: Data from: Higher-order species interactions cause time-dependent niche and fitness differences: experimental evidence in plant-feeding arthropods

description: trajectories.csv (the raw data)
id: replicate identifiervariant: co-existence status ("competition" or "monoculture")day: day of experimentspecies: mite species ("CRM" or "WCM")n: population density
 
model.R
The R script with the GAMM fitted to the trajectory data; also produces simulations from this model (saved as sim.csv).
 
sim.csv (simulations from the GAMM)
day: day of experimentspec_var: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")X1:X1000: population densities simulated from the fitted GAMM (on the log scale)
 
reg.RData
The GAMM for growth rates.
 
NFD_over_time_monte_carlo_gam.py
Python script to compute niche and fitness differences. Takes sim.csv (densities over time for different instantiations) and reg.RData ( stores the GAMM from R for the growth rates) as input and generates the file Data_NFD_monte_carlo_multi_c.csv which stores the niche and fitness differences computed for these communities.
 
figures.R
The R script that produces Figures 2-5.
 
plot_biotic_model.py
Python code to generate the figures S3 and S4 showing the simulations of a biotic resource competition model. 
 
plot_abiotic_model.py
Python code to generate the figures S1 and S2 showing simulations of an abiotic resource competition model. 
description: The study was supported by National Science Centre Poland (NSC) Grant No. 2019/35/N/NZ8/02639 to Agnieszka Majer (design and execution of experiments) and Grant No. 2018/29/B/NZ8/00066 to Lechosław Kuczyński (conceptualisation and methodological development).
DOI: 10.15468/dl.odxgwr
title: Occurrence Download

description: A dataset containing 10254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "PublishingOrg is 15b278a8-1356-4f7b-ba32-3c733c3d0aac",
 "DatasetKey is Inventario de fauna presente en la jurisdicción de Corantioquia",
 "HasCoordinate is true",
 "InstitutionCode is corantioquia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10254 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011698-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10951216
title: Data from: Higher-order species interactions cause time-dependent niche and fitness differences: experimental evidence in plant-feeding arthropods

description: trajectories.csv (the raw data)

id: replicate identifiervariant: co-existence status ("competition" or "monoculture")day: day of experimentspecies: mite species ("CRM" or "WCM")n: population density

 

model.R

The R script with the GAMM fitted to the trajectory data (the GAMM model is saved as model.RData); also produces simulations from this model (saved as sim.csv).

 

model.RData

The GAMM for growth rates.

 

sim.csv (simulations from the GAMM)

day: day of experimentspec_var: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")X1:X1000: population densities simulated from the fitted GAMM (on the log scale)

 

NFD_over_time_monte_carlo_gam.py

Python script to compute niche and fitness differences. Takes sim.csv (densities over time for different instantiations) and model.RData (stores the GAMM from R for the growth rates) as input and generates the file Data_NFD_monte_carlo_multi_c.csv which stores the niche and fitness differences computed for these communities.

 

figures.R

The R script that produces Figures 2-4.

 

plot_biotic_model.py

Python code to generate the figures S3 and S4 showing the simulations of a biotic resource competition model. 

 

plot_abiotic_model.py

Python code to generate the figures S1 and S2 showing simulations of an abiotic resource competition model. 
description: The study was supported by National Science Centre Poland (NSC) Grant No. 2019/35/N/NZ8/02639 to Agnieszka Majer (design and execution of experiments) and Grant No. 2018/29/B/NZ8/00066 to Lechosław Kuczyński (conceptualisation and methodological development).
DOI: 10.15468/dl.55mtn8
title: Occurrence Download

description: A dataset containing 533587 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunella vulgaris L.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 533587 records from 967 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142504-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10843434
title: Data from: Higher-order species interactions cause time-dependent niche and fitness differences: experimental evidence in plant-feeding arthropods

description: trajectories.csv (the raw data)

id: replicate identifiervariant: co-existence status ("competition" or "monoculture")day: day of experimentspecies: mite species ("CRM" or "WCM")n: population density

 

model.R

The R script with the GAMM fitted to the trajectory data; also produces simulations from this model (saved as sim.csv).

 

sim.csv (simulations from the GAMM)

day: day of experimentspec_var: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")X1:X1000: population densities simulated from the fitted GAMM (on the log scale)

 

reg.RData

The GAMM for growth rates.

 

NFD_over_time_monte_carlo_gam.py

Python script to compute niche and fitness differences. Takes sim.csv (densities over time for different instantiations) and reg.RData ( stores the GAMM from R for the growth rates) as input and generates the file Data_NFD_monte_carlo_multi_c.csv which stores the niche and fitness differences computed for these communities.

 

figures.R

The R script that produces Figures 2-4.

 

plot_biotic_model.py

Python code to generate the figures S3 and S4 showing the simulations of a biotic resource competition model. 

 

plot_abiotic_model.py

Python code to generate the figures S1 and S2 showing simulations of an abiotic resource competition model. 
description: The study was supported by National Science Centre Poland (NSC) Grant No. 2019/35/N/NZ8/02639 to Agnieszka Majer (design and execution of experiments) and Grant No. 2018/29/B/NZ8/00066 to Lechosław Kuczyński (conceptualisation and methodological development).
DOI: 10.5281/zenodo.7885854
title: Data from: Higher-order species interactions cause time-dependent niche and fitness differences: experimental evidence in plant-feeding arthropods

description: trajectories.csv (the raw data)

id: replicate identifiervariant: co-existence status ("competition" or "monoculture")day: day of experimentspecies: mite species ("CRM" or "WCM")n: population density

 

model.R

The R script with the GAMM fitted to the trajectory data (the GAMM model is saved as model.RData); also produces simulations from this model (saved as sim.csv).

 

model.RData

The GAMM for growth rates.

 

sim.csv (simulations from the GAMM)

day: day of experimentspec_var: combination of co-existence status ("competition" or "monoculture") and species ("CRM" or "WCM")X1:X1000: population densities simulated from the fitted GAMM (on the log scale)

 

NFD_over_time_monte_carlo_gam.py

Python script to compute niche and fitness differences. Takes sim.csv (densities over time for different instantiations) and model.RData (stores the GAMM from R for the growth rates) as input and generates the file Data_NFD_monte_carlo_multi_c.csv which stores the niche and fitness differences computed for these communities.

 

figures.R

The R script that produces Figures 2-4.

 

plot_biotic_model.py

Python code to generate the figures S3 and S4 showing the simulations of a biotic resource competition model. 

 

plot_abiotic_model.py

Python code to generate the figures S1 and S2 showing simulations of an abiotic resource competition model. 
description: The study was supported by National Science Centre Poland (NSC) Grant No. 2019/35/N/NZ8/02639 to Agnieszka Majer (design and execution of experiments) and Grant No. 2018/29/B/NZ8/00066 to Lechosław Kuczyński (conceptualisation and methodological development).
DOI: 10.15468/dl.38mm6z
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium talayonicum Mateo"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029571-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dn8b2e
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Papua New Guinea",
 "Geometry POLYGON ((-214.15649414062497 -4.780363436901683, -214.15649414062497 -4.507976045647358, -213.90380859375 -4.507976045647358, -213.90380859375 -4.780363436901683, -214.15649414062497 -4.780363436901683))",
 "HasCoordinate is true",
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011699-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4xc63
title: Occurrence Download

description: A dataset containing 4916241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2010-2020"
 ]
}

 The dataset includes 4916241 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0139243-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4pn7qz
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium taedum T.Tyler"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029542-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rfns8p
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Spintherobolus papilliferus Eigenmann, 1911"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011710-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxqz7f
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Daenikera Hürl. & Stauffer",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142539-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pj9sdd
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ilex nothophoeboides I.M.Turner"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029413-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gpi8vy
title: Occurrence Download

description: A dataset containing 172551 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Linaria vulgaris Mill."
 ]
}

 The dataset includes 172551 records from 542 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011699-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13894113
title: Exploring Generative AI Tools for Software Quality: Insights from a Rapid Multivocal Literature Review
DOI: 10.5281/zenodo.13905579
title: Exploring Generative AI Tools for Software Quality: Insights from a Rapid Multivocal Literature Review
DOI: 10.7910/dvn/ncov8o
title: Last of the Wild Project, Version 2, 2005 (LWP-2): Global Human Influence Index (HII) Dataset (IGHP)

description: The Global Human Influence Index Dataset of the Last of the Wild Project, Version 2, 2005 (LWP-2) is a global dataset of 1-kilometer grid cells, created from nine global data layers covering human population pressure (population density), human land use and infrastructure (built-up areas, nighttime lights, land use/land cover), and human access (coastlines, roads, railroads, navigable rivers). The dataset in Interrupted Goode Homolosine Projection (IGHP) is produced by the Wildlife Conservation Society (WCS) and Columbia University Center for International Earth Science Information Network (CIESIN).
description: To provide an updated map of anthropogenic impacts on the environment in the Interrupted Goode Homolosine Projection which can be used in wildlife conservation planning, natural resource management, and research on human-environment interactions.
DOI: 10.6084/m9.figshare.30076327
title: Figure 1: Structure of MgZrCl6

description: Structural visualization of MgZrCl6 presented in Figure 1 and associated VESTA file for structural visualization, created from refined cif in the Figure 2 folder.
DOI: 10.6084/m9.figshare.30076327.v1
title: Figure 1: Structure of MgZrCl6

description: Structural visualization of MgZrCl6 presented in Figure 1 and associated VESTA file for structural visualization, created from refined cif in the Figure 2 folder.
DOI: 10.15468/dl.s6qg4d
title: Occurrence Download

description: A dataset containing 9502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "TaxonKey is Eresia aveyrona mylitta"
 ]
}

 The dataset includes 9502 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042964-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.