cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tvw6zk
title: Occurrence Download

description: A dataset containing 53859468 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sicalis flaveola, Sicalis luteola, Sinosuthora webbiana, Spermophaga haematina, Spinus cucullatus, Spinus notatus, Spinus tristis, Spinus yarrellii, Spizixos semitorques, Spodiopsar cineraceus, Spodiopsar sericeus, Sporophila angolensis, Stagonopleura guttata, Stilpnia larvata, Stilpnia nigrocincta, Strepera graculina, Sturnella bellicosa, Sturnella militaris, Sturnella neglecta, Sturnia malabarica, Sturnia pagodarum, Sturnia sinensis, Sturnus vulgaris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 53859468 records from 6687 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000526-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7hn7z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cactoblastis cactorum",
 "Country is Jamaica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026310-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27kh6z
title: Occurrence Download

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

 The dataset includes 14 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026311-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3utmxv
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stiphodon mele)",
 "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 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026313-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9fejf8
title: Occurrence Download

description: A dataset containing 16618 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coffea arabica"
 ]
}

 The dataset includes 16618 records from 561 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026312-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/w30r-1593
title: "Automated Curriculum Design for High-dimensional Human Motor Learning: Experimental Data"

description: "Designing effective practice schedules for high-dimensional motor learning tasks remains a challenge, especially when skill states are unobservable and task performance may not reflect true learning. We propose an automated curriculum design framework that combines a human motor learning model and personalized real-time skill estimation with Stochastic Nonlinear Model Predictive Control (SNMPC) for task sequencing in de-novo (novel) motor learning paradigms. Compared to a random curriculum and a heuristic performance-based curriculum, our SNMPC approach accelerates skill acquisition and improves task performance. Simulation and human-subject studies using a hand exoskeleton demonstrate significant gains in learning efficiency, highlighting the potential of model-based, individualized curricula for motor rehabilitation and complex skill training."
DOI: 10.15468/dl.5hcf5v
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((108.77117 1.8306,108.46138 -0.14401,109.6231 -1.92496,110.01034 -3.35619,111.44313 -3.35619,111.59803 -3.93588,113.14699 -3.74269,114.30872 -3.93588,114.42489 -4.55376,116.32237 -4.32211,116.78706 -2.6988,117.94878 -0.91846,119.53647 1.24996,118.56837 3.26195,119.18795 4.96136,119.88499 5.23135,118.80071 6.23313,118.0217 6.77178,117.24149 7.65622,114.91409 6.67657,108.77117 1.8306))",
 "HasGeospatialIssue is false",
 "TaxonKey is Muntiacus muntjak"
 ]
}

 The dataset includes 77 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026314-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x34n2b
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Jacobaea andrzejowskyi"
 ]
}

 The dataset includes 80 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026315-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c6vg2r
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cactoblastis cactorum",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026316-250811113504898/datasets/export for details.
DOI: 10.15468/dl.pkcqfs
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cactoblastis cactorum",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 73 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026317-250811113504898/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.29905592.v2
title: colizzo_thesis_FINAL.pdf

description: The Colizzo Thesis proposes a novel cosmological model in which the observed matter–antimatter asymmetry is a local effect caused by inflationary domain separation, preserving perfect global symmetry beyond the observable horizon. Integrating inflationary cosmology, quantum fluctuation theory, and particle physics, the model reframes baryogenesis without invoking exotic asymmetries, predicts distinctive large-scale observational signatures, and positions the universe as part of an ongoing quantum fluctuation rather than a static inflationary remnant.
DOI: 10.15468/dl.5zfj4g
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachystegia boehmii",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 112 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026318-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ncy75j
title: Occurrence Download

description: A dataset containing 872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alosa alosa)",
 "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 872 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026320-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/evmxr
title: ASHMPS 2023 - Public Use Data and Workbook

description: Open Access dataset of anonymized responses to ASHMPS 2023. Descriptions of each data column are provide in the Workbook file.
DOI: 10.15468/dl.dnujs3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cactoblastis cactorum",
 "Country is Saint Kitts and Nevis",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026322-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.15776544
title: Synthetic Forecasts of Renewable Energy Supply and Demand across the CONUS: Initial Release

description: This dataset contains a set of forecasts for variables associated with renewable energy supply and energy demand across the contiguous United States (CONUS). These include:



streamflow into 1111 hydropower facilities

wind power generation at 92 buses

solar power generation at 276 buses

load at 54 balacing authorities


Streamflow forecasts are provided daily, while wind, solar, and load forecasts are provided hourly. All forecasts extend out 7 days into the future, with new forecasts issued each day for flow and each hour for wind, solar, and load.

Three sets of forecasts are available:



Baseline (persistence) forecasts: these forecasts are based on climatology, but account for observed, short-term deviations from climatology using an autoregressive model.

Perfect forecasts: these forecasts assume perfect foresight of each variable over the forecast horizon

Synthetic forecasts: these forecasts are a weighted average between the baseline and perfect forecasts. They represent a scenario of forecast improvement over the baseline. Two parameters govern the degree of improvement:



weight: this parameter determines the percent improvement for the 1-day-ahead forecast from the baseline to the perfect forecast scenario.For example, a value of 0.5 for the weight would indicate that the synthetic forecast at a 1-day lead will be half way between the baseline and perfect forecast values at a 1-day lead.

half-life: forecast improvements at shorter lead times are generally greater than forecast improvements at longer lead times. The half-life parameter embeds this behavior in the synthetic forecasts. The value of this parameter indicates the lead time when the forecast improvement for 1-day-ahead forecast is halved. So, for instance, if the weight parameter indicates a 50% improvement in the 1-day-ahead forecast, and the half-life parameter equals 5 days, then the improvement for 5-day-ahead forecasts will be 25% (i.e., 25% of the way from the baseline forecast to the perfect forecast at a 5-day lead).




 

A total of 7 forecast scenarios are created in total, based on different combinations of the weight and half-life parameters. Note that the scenarios are developed independently for each variable, enabling a much larger set of unqiue combinations of forecast skill across the wind, solar, load, and flow variables. 




Forecast Scenario
Decay of Forecast Improvement (half-life)
Wind
Solar
Load
Flow


1
NA
Perfect
Perfect
Perfect
Perfect


2
NA
Baseline
Baseline
Baseline
Baseline


3
2-day
25%
25%
25%
25%


4
2-day
50%
50%
50%
50%


5
2-day
75%
75%
75%
75%


6
5-day
50%
50%
50%
50%


7
7-day
50%
50%
50%
50%




 

Do to space limitations, this dataset has been split across multiple repositories. While the wind and solar data can be found in this repository, the load data can be found here:

10.5281/zenodo.15799553

 

And the flow data can be found here:

10.5281/zenodo.16845587
DOI: 10.5281/zenodo.15776543
title: Synthetic Forecasts of Renewable Energy Supply and Demand across the CONUS: Initial Release

description: This dataset contains a set of forecasts for variables associated with renewable energy supply and energy demand across the contiguous United States (CONUS). These include:



streamflow into 1111 hydropower facilities

wind power generation at 92 buses

solar power generation at 276 buses

load at 54 balacing authorities


Streamflow forecasts are provided daily, while wind, solar, and load forecasts are provided hourly. All forecasts extend out 7 days into the future, with new forecasts issued each day for flow and each hour for wind, solar, and load.

Three sets of forecasts are available:



Baseline (persistence) forecasts: these forecasts are based on climatology, but account for observed, short-term deviations from climatology using an autoregressive model.

Perfect forecasts: these forecasts assume perfect foresight of each variable over the forecast horizon

Synthetic forecasts: these forecasts are a weighted average between the baseline and perfect forecasts. They represent a scenario of forecast improvement over the baseline. Two parameters govern the degree of improvement:



weight: this parameter determines the percent improvement for the 1-day-ahead forecast from the baseline to the perfect forecast scenario.For example, a value of 0.5 for the weight would indicate that the synthetic forecast at a 1-day lead will be half way between the baseline and perfect forecast values at a 1-day lead.

half-life: forecast improvements at shorter lead times are generally greater than forecast improvements at longer lead times. The half-life parameter embeds this behavior in the synthetic forecasts. The value of this parameter indicates the lead time when the forecast improvement for 1-day-ahead forecast is halved. So, for instance, if the weight parameter indicates a 50% improvement in the 1-day-ahead forecast, and the half-life parameter equals 5 days, then the improvement for 5-day-ahead forecasts will be 25% (i.e., 25% of the way from the baseline forecast to the perfect forecast at a 5-day lead).




 

A total of 7 forecast scenarios are created in total, based on different combinations of the weight and half-life parameters. Note that the scenarios are developed independently for each variable, enabling a much larger set of unqiue combinations of forecast skill across the wind, solar, load, and flow variables. 




Forecast Scenario
Decay of Forecast Improvement (half-life)
Wind
Solar
Load
Flow


1
NA
Perfect
Perfect
Perfect
Perfect


2
NA
Baseline
Baseline
Baseline
Baseline


3
2-day
25%
25%
25%
25%


4
2-day
50%
50%
50%
50%


5
2-day
75%
75%
75%
75%


6
5-day
50%
50%
50%
50%


7
7-day
50%
50%
50%
50%




 

Do to space limitations, this dataset has been split across multiple repositories. While the wind and solar data can be found in this repository, the load data can be found here:

10.5281/zenodo.15799553

 

And the flow data can be found here:

10.5281/zenodo.16845587
DOI: 10.15468/dl.5xj78r
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachystegia spiciformis",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 439 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026323-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gx83z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pituna schindleri)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026325-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15360483
title: INTRASPECIFIC TRAIT VARIATION IN TREE SPECIES RESPONDS TO ENVIRONMENTAL HETEROGENEITY AT RANGE-WIDE BUT NOT LOCAL SCALES

description: Data files 

Statistical_Analyses_And_Figures: Runs the pre-dating cleaning script and produces the figures and tables in the main text.

RAW DATA: All raw data files used

·      “Combined_BasalArea_StemCounts_RareSppLump_22Mar2015.Rdata” : a .Rdata file containing the basal areas, environmental data, and occurrence records from 2015 for species across Puerto Rico, compiled by Maria Uriarte and Robert Muscarella.

·      “PR_soft_traits_2019-10-03_RM.csv”: Wood density and specific leaf area data collected across plots in Puerto Rico in 2019 by Robert Muscarella.

·      “chelsa_data_6”: Environmental variables downloaded from the CHELSA database and compiled into a csv by Eva Arroyo in 2023 using GPS coordinates for each site.

·      “ClimateGradient_Roughness.csv”:

·      “pr_5mdem_wgs.tif”: 5-meter resolution DEM of Puerto Rico in WGS84 latitude-longitude format from USGS Earth Explorer, downloaded in 2022.

·      “Spatial”: shape files for the plot boundaries in Puerto Rico, compiled by Jazlyn Hall in 2018.

Data cleaning: Script that runs at the beginning of Statistical_Analyses_And_Figures that takes the raw, pre-data-cleaning files and generates summary tables of 1) the environmental data at each site (summary_sites_2) 2) the across-site variation paired with environmental range (samplevar_spslve_3) and 3) the within-site variation paired with the environment at that site (samplevar_4)

Roughness_PR_5mDEM_new.R: Script that runs inside of Data cleaning script to calculate terrain roughness at the 5-meter scale.

For all scripts, be sure to set the location to the local working directory, and if errors occur use the packages archived in the renv.lock file.
DOI: 10.5281/zenodo.16915359
title: INTRASPECIFIC TRAIT VARIATION IN TREE SPECIES RESPONDS TO ENVIRONMENTAL HETEROGENEITY AT RANGE-WIDE BUT NOT LOCAL SCALES

description: Data files 

Statistical_Analyses_And_Figures: Runs the pre-dating cleaning script and produces the figures and tables in the main text.

RAW DATA: All raw data files used

·      “Combined_BasalArea_StemCounts_RareSppLump_22Mar2015.Rdata” : a .Rdata file containing the basal areas, environmental data, and occurrence records from 2015 for species across Puerto Rico, compiled by Maria Uriarte and Robert Muscarella.

·      “PR_soft_traits_2019-10-03_RM.csv”: Wood density and specific leaf area data collected across plots in Puerto Rico in 2019 by Robert Muscarella.

·      “chelsa_data_6”: Environmental variables downloaded from the CHELSA database and compiled into a csv by Eva Arroyo in 2023 using GPS coordinates for each site.

·      “ClimateGradient_Roughness.csv”:

·      “pr_5mdem_wgs.tif”: 5-meter resolution DEM of Puerto Rico in WGS84 latitude-longitude format from USGS Earth Explorer, downloaded in 2022.

·      “Spatial”: shape files for the plot boundaries in Puerto Rico, compiled by Jazlyn Hall in 2018.

Data cleaning: Script that runs at the beginning of Statistical_Analyses_And_Figures that takes the raw, pre-data-cleaning files and generates summary tables of 1) the environmental data at each site (summary_sites_2) 2) the across-site variation paired with environmental range (samplevar_spslve_3) and 3) the within-site variation paired with the environment at that site (samplevar_4)

Roughness_PR_5mDEM_new.R: Script that runs inside of Data cleaning script to calculate terrain roughness at the 5-meter scale.

For all scripts, be sure to set the location to the local working directory, and if errors occur use the packages archived in the renv.lock file.
DOI: 10.58053/mapbiomas/pdgq5h
title: Coverage and transitions statistics for protected areas - MapBiomas Brasil Collection 10

description: Area data (ha) of land cover class for protected areas from 1985 to 2024, based on MapBiomas Brazil Collection 10.
DOI: 10.15468/dl.2vrzt8
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Khaya anthotheca",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 155 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026328-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16845586
title: Synthetic Forecasts of Renewable Energy Supply and Demand across the CONUS: Initial Release (flow only)

description: This dataset contains the flow data described in the repository located here: 10.5281/zenodo.15776544
DOI: 10.5281/zenodo.16845587
title: Synthetic Forecasts of Renewable Energy Supply and Demand across the CONUS: Initial Release (flow only)

description: This dataset contains the flow data described in the repository located here: 10.5281/zenodo.15776544
DOI: 10.15468/dl.8b2jku
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon rendalli",
 "Country is Antigua and Barbuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026326-250811113504898/datasets/export for details.
DOI: 10.15468/dl.b454cb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coptodon rendalli",
 "Country is Central African Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026327-250811113504898/datasets/export for details.
DOI: 10.15468/dl.wqewa4
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Otago Regional Council lake submerged plant indicators 2020-2024"
 ]
}

 The dataset includes 385 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026329-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w794nt
title: Occurrence Download

description: A dataset containing 94086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Tephrosia"
 ]
}

 The dataset includes 94086 records from 619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026307-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e9f6d
title: Occurrence Download

description: A dataset containing 1225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phlogophilus harterti"
 ]
}

 The dataset includes 1225 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026330-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.