cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/p99tn424
title: Sand classifications along the Colorado River in Grand Canyon derived from 2002, 2009, and 2013 high-resolution multispectral airborne imagery

description: These data are remote sensing image-based classification maps of unvegetated river-derived sand along the Colorado River. One map is based on imagery acquired in May 2013 and is a classification of sand located above the wetted river channel in the imagery which was acquired at the approximate contemporary low-flow river discharge of 8,000 cubic feet per second (227 cubic meters per second) and extends from Glen Canyon Dam at Lake Powell to Separation Canyon at Lake Mead, a total distance of approximately 255 river miles (410 river kilometer). Three other maps are based on imagery acquired in May 2002, 2009, and 2013, respectively, and are classifications of sand located above the wetted river channel (at river discharge of approximately 8,000 cubic feet per second, or 227 cubic meters per second) and below the approximate maximum contemporary flood stage of the river at a discharge of 45,000 cubic feet per second (1,274 cubic meters per second). Those three maps extend from Lees Ferry (approximately 15 miles downstream of Glen Canyon Dam) to Diamond Creek, a total distance of approximately 226 river miles (364 river kilometers). These three maps only have sand classified within large sand deposition zones (SDZs) in the river corridor. Sand transported by the Colorado River through Grand Canyon is stored on the river bed and in recirculation zones, or eddies, that typically house separation or reattachment sandbars in the lee of debris fans (Schmidt, 1990; Hazel et al., 2006). Alternatively, sand can also be found lining pools and channel margins upstream of debris fans (Schmidt, 1990). The SDZs were identified by delineating individual large eddies and adjacent debris fans, pools and channel margins which contain a majority of the areas of exposed unvegetated river-derived sand that can be classified by multispectral image analysis. The more comprehensive 2013 sand map extends outside of the SDZs and encompasses all river-derived sand within the entire width and length of the river corridor above the low-flow river stage. Each classification map was derived from a combination of unsupervised and supervised image classification methods followed by exhaustive image interpretation and map editing to identify river-derived sand that was not vegetated and not obviously colonized by biologic soil crust. The sand classifications have the same 0.2-meter ground resolution as the imagery. No formal accuracy assessment has been completed at this time for these data.
DOI: 10.5067/9ncr9dddopfi
title: MERRA-2 tavg3_3d_tdt_Np: 3d,3-Hourly,Time-Averaged,Pressure-Level,Assimilation,Temperature Tendencies V5.12.4
DOI: 10.5281/zenodo.10056511
title: Elastic properties of Dolomite at High Pressure and Temperature

description: It's the elasticity of dolomite at mantle conditions.
DOI: 10.5281/zenodo.10792712
title: Supporting Information of JGR-A Paper Supporting Information 2024

description: This dataset includes the aerosols data used in the paper "62°S Witnesses the Transition of Boundary Layer Marine Aerosol Pattern Over the Southern Ocean (50°S-68°S, 63°E-150°E) during the spring and summer: Results from MARCUS (I)" after quality controls including machine learning ship stack contamination identification. This dataset has a time series in UTC as index. Please contact qingniu@ou.edu for any questions and helps.
DOI: 10.5281/zenodo.10875991
title: Electric-field induced multiferroic topological solitons

description: Data related to the publication "Electric-field induced multiferroic topological solitons" to appear in Nature Materials.
DOI: 10.5281/zenodo.10906138
title: Monash X band radar case for bushfire detection and a precipitation case used to examine uncertainty in ZDR

description: Data sets from a mobile X-band radar used to examine uncertainty in ZDR and roHV .  Data includes preciptation and wildfire ash clouds.  

The data format is  unprocessed, ungridded (spherical coordinates) and provided using the Eumetnet ODIMH5 model of the HDF5 format .   

The bublication will be May et al, J. Atmos. Oceanic. Tech titled: 

Accuracy of polarimetric radar ZDR estimates: Implications for the quantitative observation of meteorological and non-meteorological echoes
DOI: 10.5281/zenodo.11394627
title: Statistical learning shapes pain perception and prediction independently of external cues

description: Dataset and code for the relevant analysis and results:

"Statistical learning shapes pain perception and prediction independently of external cues"

Onysk, J., Whitefield, M., Gregory, N., Jain, M., Turner, G., Seymour, B., Mancini, F. (2024). eLife. https://doi.org/10.7554/eLife.90634.2

1 - data_collection

Contains the code for the psychophysical experiment (PsychToolBox), including the sequence generations scripts.

2 - preprocessing

Contains code that preprocesses behavioural data from PsychToolBox. This includes linear transformation of inputs, exporting data to stan readable format and plotting Supplement figures.

- The raw behavioural data can be found in preprocessing/data. Stan ready ready for each condition is found in preprocessing/stan_data

3 - model_fit_analysis

Contains stan models used in the paper ('models/'), model fitting code ('fit_models_cs.R) (inlcuding HPC setup in 'hpc/'), initial analysis script for processing stan samples ('primary_analysis_cs.R'), as well as additional analyis scripts ('extra_analysis_cs.R', 'correlation_beh_model_cs.ipynb') that generate figures from the paper and supplement.

- The posterior draws for parameters can be found in model_fit_analysis/output/cs_results 

4 - model_recovery

Contains code that execute model and parameter recovery analysis ('mp_recovery.R'), including HPC setup ('hpc/'). The 'mp_rec_analyse.R' reproduces model and parameter recovery results from the supplement.

5 - Figures

Contains all the figures from the manuscript and the supplement.

6 - RDS_fits

Contains RStan fit objects for each condition for each model
DOI: 10.5281/zenodo.1257144
title: Wrf Output. Resolution: 12 Km. Domain: Eastern North America

description: Derived products from WRF simulations at 12 km resolution. LBC: ERA-Interim. Output every 10-min. Output level: 3rd model level 

Details given in: Pryor S.C. et al. (2018): Inter-annual variability of wind climates and wind turbine annual energy production. Manuscript published in Wind Energy Science.

5 netcdf files;

Pryoretal_WES2018_part1.nc contains information shown in Figure 3. Included variables; lat, lng, medianWSHH, CI(medianWSHH), vectors of data in WT grid cells and in grid cells without WT.

Pryoretal_WES2018_part2.nc contains information shown in Figure 4. Included variables; Weibull distribution fits by wind speed bin and year, and FFT of output from TX, IA, and NY.

Pryoretal_WES2018_part3.nc contains information shown in Figure 5. Included variables; lat, lng, 50th and 90th percentile WI, AEP and difference, vectors of data in WT grid cells and in grid cells without WT.

Pryoretal_WES2018_part4.nc contains information shown in Figure 6.Included variables; lat, lng, 50th and 90th percentile AEP and difference, vectors of data in WT grid cells and in grid cells without WT.

Pryoretal_WES2018_part5.nc contains information shown in Figure 7. Included variables; lat, lng, time of minimum, time of maximum.
description: Funding: This research was funded by the US Department of Energy (DE-SC0016438) and Cornell University's Atkinson Center for a Sustainable Future (ACSF-sp2279-2016). This research was enabled by access to a range of computational resources supported by NSF; ACI-1541215 and those made available via the NSF Extreme Science and Engineering Discovery Environment (XSEDE) (award TG-ATM170024), and those of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.
DOI: 10.5281/zenodo.2589760
title: InMAP Source-Receptor Matrix (ISRM) dataset

description: The InMAP Source-Receptor Matrix (ISRM) estimates the air quality impacts of emissions released from any source location in the contiguous United States to any receptor location. Specifically, the values in the ISRM dataset are the change in PM<sub>2.5</sub> concentration (µg m<sup>-3</sup>) in any receptor grid cell per unit of emissions (µg sec<sup>-1</sup>) in any source grid cell. ISRM was created from repeated runs of the Intervention Model for Air Pollution (InMAP), isolating the impact of emissions from every grid cell in InMAP and from three emission heights representing ground-level, low-stack, and high-stack emissions. A file of the marginal impacts of emissions from each source location is also included ("marginal_values.csv"), which summarizes the estimates in ISRM by each source grid cell in terms of monetary damages ($ tonne<sup>-1</sup>), increased mortality (deaths tonne<sup>-1</sup>), and population exposure (population*µg m<sup>-3</sup> tonne<sup>-1</sup>).
DOI: 10.5281/zenodo.6337788
title: Combining Horizontal Strain DAS and Local Seismic Stations in a Full Waveform Attribute Stacking Detector/Locator Algorithm: Verification Test for the Thorbjörn, Iceland, 2020 Unrest Episode

description: We present a waveform stacking-based earthquake catalog of the seismicity unrest episode in the Svartsengi fissure swarm close to Mt. Thorbjörn, SW Iceland, which started in January 2020 and was still ongoing in January 2021. The magmatic unrest produced more than 5 earthquake swarms comprising thousands of individual events each. We were able to combine local and regional seismic networks with 6 months recording of a 17 km long distributed acoustic sensing (DAS) fibre optical cable with a channel resolution of 4 m. The kHz DAS data were downsampled to 200 Hz and stacked every 64 m. The catalog is based on a migration-based detector / locator technique as for instance implemented in Lassie (Pyrocko). In the accompanying we demonstrate the robustness in a wide variety of applications in seismology. For this dataset, we have extended Lassie to efficiently combine linear ultra-dense sensor arrays with sparse seismological networks.
description: The catalog is in human-readable CSV format, with the timestamp in UTC as seconds from UNIX epoch. The catalog contains all events at all detection levels. In the publication earthquake detections above a threshold of &gt; 400 are shown.
DOI: 10.15468/dl.upufnk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((60 -22.5,67.5 -22.5,67.5 -15,60 -15,60 -22.5))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040908-251009101135966/datasets/export for details.
DOI: 10.23729/fd-d9a0b313-1481-37b7-926d-b858f76c035a
title: Primary damage and electronic effects in Si with machine learning-driven molecular dynamics - Atomic structure of final defects

description: This dataset contains the atomic structure of survived defects, induced from self-irradiated silicon with different primary knock-on atom (PKA) energies. The molecular dynamics simulations were performed with the Gaussian approximation machine learning potential, GAP, using the TurboGAP code. In the simulations, a first-principles-derived model for the electronic stopping power was employed. More information about the simulation details is provided in the corresponding README file.
DOI: 10.15468/dl.kwx9w3
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex confertus x crispus"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008669-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6jrbns
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asparagus asparagoides Jessop"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008670-250127130748423/datasets/export for details.
DOI: 10.15468/dl.2fc8nd
title: Occurrence Download

description: A dataset containing 9023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Chromolaena odorata (L.) R.M.King & H.Rob., Mikania micrantha Kunth, Parthenium hysterophorus L., Antigonon leptopus Hook. & Arn., Lantana camara L.)"
 ]
}

 The dataset includes 9023 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008673-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.akhw52
title: Occurrence Download

description: A dataset containing 35530 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Imperatoria ostruthium L."
 ]
}

 The dataset includes 35530 records from 390 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008675-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcanmj
title: Occurrence Download

description: A dataset containing 39173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyparrhenia hirta (L.) Stapf"
 ]
}

 The dataset includes 39173 records from 339 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008676-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14788856
title: Data, code and supplementary plots for "A modelling framework for estimating underlying lagged effects in aggregated health data"
DOI: 10.15468/dl.ufy4k3
title: Occurrence Download

description: A dataset containing 35786 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenothera speciosa Nutt."
 ]
}

 The dataset includes 35786 records from 314 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008677-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rw6dz5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudocercospora oenotherae-speciosae U.Braun & Crous"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008679-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vj4gr6
title: Occurrence Download

description: A dataset containing 38058 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Misgurnus anguillicaudatus (Cantor, 1842)"
 ]
}

 The dataset includes 38058 records from 157 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008680-250127130748423/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.28330097
title: <b>Supporting Information for the paper:</b> Forest age strongly influences the functional trajectories of reintroduced vascular epiphytes over time

description: This repository contains the R code and spreadsheets to run statistical analyses and plot figures.
DOI: 10.15468/dl.7bgen8
title: Occurrence Download

description: A dataset containing 440 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Ponthieva R.Br."
 ]
}

 The dataset includes 440 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008681-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rmt3y
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Misgurnus anguillicaudatus x Paramisgurnus dabryanus"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008683-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14789449
title: Russian aboveground live vegetation carbon for the year 2020 and 2021

description: Russia's vegetation ecosystems have long been an important carbon sink, making a significant contribution to the global carbon cycle. However, the frequent severe droughts and large-scale wildfires in recent years may have significantly weakened their carbon sink function. This dataset, produced based on low-frequency passive microwave remote sensing (L-VOD) data, provides estimates of the distribution of above-ground live woody vegetation carbon stocks in Russia for 2020-2021. The dataset aims to support in-depth research on the impacts of the 2021 drought and wildfire disturbances on above-ground live woody vegetation carbon stocks in Russia.

The aboveground live vegetation carbon data for Russia is stored in Tiff format, with the file name "AGC_yyyy.tiff," where "yyyy" represents the year and "AGC" stands for above-ground vegetation carbon stock.
DOI: 10.15468/dl.8ht3q4
title: Occurrence Download

description: A dataset containing 746888 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GadmGid is DEU.4_1",
 "Year 2016-2024"
 ]
}

 The dataset includes 746888 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008672-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fahc8p
title: Occurrence Download

description: A dataset containing 104142 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elodea nuttallii (Planch.) H.St.John"
 ]
}

 The dataset includes 104142 records from 640 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008671-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xeqej5
title: Occurrence Download

description: A dataset containing 25080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anacardiaceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 25080 records from 206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0094940-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2th3fj
title: Occurrence Download

description: A dataset containing 45823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Annonaceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 45823 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095216-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aycesd
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anisophylleaceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 77 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095137-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g4umy
title: Occurrence Download

description: A dataset containing 6193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apiaceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 6193 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095521-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtaztb
title: Occurrence Download

description: A dataset containing 78015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Apocynaceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 78015 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095727-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9u63u
title: Occurrence Download

description: A dataset containing 44 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trifolium retusum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 44 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011746-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.db2vvm
title: Occurrence Download

description: A dataset containing 8395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aquifoliaceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 8395 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097010-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y3xrzh
title: Occurrence Download

description: A dataset containing 28733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Araceae",
 "Year 1753-2023"
 ]
}

 The dataset includes 28733 records from 181 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0097062-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.