cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14537984
title: Datasets for "Angular Resolution of a Bayesian Search for Anisotropic Stochastic Gravitational Wave Backgrounds with LISA"

description: Posterior samples and parameter files for all simulations in "Angular Resolution of a Bayesian Search for Anisotropic Stochastic Gravitational Wave Backgrounds with LISA".
DOI: 10.5281/zenodo.14537985
title: Datasets for "Angular Resolution of a Bayesian Search for Anisotropic Stochastic Gravitational Wave Backgrounds with LISA"

description: Posterior samples and parameter files for all simulations in "Angular Resolution of a Bayesian Search for Anisotropic Stochastic Gravitational Wave Backgrounds with LISA".
DOI: 10.5281/zenodo.13993395
title: Clinical phenotypes in acute and chronic infarction explained through human ventricular electromechanical modelling and simulations

description: This dataset includes the meshes and model parameters for simulating acute and chronic stage post-myocardial infarct using Alya, to replicate the results in the article https://doi.org/10.7554/eLife.93002.1

For each scenario simulated, a baseline simulation folder is provide with all the required meshes, fields, and model parameters necessary to run an Alya simulation. An additional series of models with variability in ionic conductances is also included for each scenario under the folder <scenario>_pom/, under which 20 simulations are included. For each simulation, only the file describing the ionic conductance scaling factors (ventricular_cell.txt) are included, all other files required to run each particular simulation can be found in the <scenario>_baseline/ version. 

The file structure is as follows:



control_baseline

control_pom

75%_transmural_scar



acute



bz1_baseline

bz1_pom



pom_id_0

...

pom_id_19



bz2_baseline

bz2_pom



pom_id_0

...

pom_id_19



bz3_baseline

bz3_pom



pom_id_0

...

pom_id_19





chronic



rz1_baseline

rz1_pom



pom_id_0

...

pom_id_19



rz2_baseline

rz2_pom



pom_id_0

...

pom_id_19





fast_pacing



alternans1

alternans4






The simulation files in alternans4/ was use to generate results Figure 6 of the accompanying article, and alternans1/ was used to generate results Figure 7. 

The Alya binary executable required for running each simulation is available upon request.
DOI: 10.5281/zenodo.14537934
title: Clinical phenotypes in acute and chronic infarction explained through human ventricular electromechanical modelling and simulations

description: This dataset includes the meshes, model parameters, and Alya executable binary for simulating acute and chronic stage post-myocardial infarct using Alya, to replicate the results in the article https://doi.org/10.7554/eLife.93002.1

For each scenario simulated, a baseline simulation folder is provide with all the required meshes, fields, and model parameters necessary to run an Alya simulation. An additional series of models with variability in ionic conductances is also included for each scenario under the folder <scenario>_pom/, under which 20 simulations are included. For each simulation, only the file describing the ionic conductance scaling factors (ventricular_cell.txt) are included, all other files required to run each particular simulation can be found in the <scenario>_baseline/ version. 

The file structure is as follows:



Alya executable binary

control_baseline

control_pom

75%_transmural_scar



acute



bz1_baseline

bz1_pom



pom_id_0

...

pom_id_19



bz2_baseline

bz2_pom



pom_id_0

...

pom_id_19



bz3_baseline

bz3_pom



pom_id_0

...

pom_id_19





chronic



rz1_baseline

rz1_pom



pom_id_0

...

pom_id_19



rz2_baseline

rz2_pom



pom_id_0

...

pom_id_19





fast_pacing



alternans1

alternans4






The simulation files in alternans4/ was use to generate results Figure 6 of the accompanying article, and alternans1/ was used to generate results Figure 7. 

The Alya executable binary has been built on ARCHER2 with the following loaded modules:

1) craype-x86-rome     2) libfabric/1.12.1.2.2.0.03) craype-network-ofi             4) perftools-base/22.12.0             5) xpmem/2.5.2-2.4_3.30__gd0f7936.shasta  6) bolt/0.8         7) epcc-setup-env    8) load-epcc-module 9) gcc/11.2.0       10) craype/2.7.19      11) cray-dsmml/0.2.2  12) cray-mpich/8.1.23 13) cray-libsci/22.12.1.1  14) PrgEnv-gnu/8.3.3  15) tk/8.6.13           16) tcl/8.6.13    17) cray-python/3.9.13.118) matplotlib/3.7.2To replicate the study, access to an installation of the code in the Nord supercomputer can be requested to mariano@elem.bio
DOI: 10.15468/dl.gqg5bb
title: Occurrence Download

description: A dataset containing 482929 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-10-25",
 "EventDate is less than or equal to 2024-11-24",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 482929 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044622-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bm82yp
title: Occurrence Download

description: A dataset containing 1958 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Setophaga tigrina (J.F.Gmelin, 1789)"
 ]
}

 The dataset includes 1958 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044630-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14537810
title: Global Elevation and Geoid Datasets in NetCDF Format: GMTED2010, EGM96, EGM2008

description: GMTED2010 global elevation data in NetCDF format
Global Multi-resolution Terrain Elevation Data (GMTED2010), from the US Geological Survey (USGS), are available here in NetCDF4 format. The files here have been converted from the original ESRI ArcGrid files distributed by USGS. GMTED2010 replaces the older GTOPO30 elevation dataset. Earth's surface elvation above the WGS84 ellipsoid is computed by adding GMTED2010 and EGM96 heights. See the USGS GMTED2010 webpage for a description of the dataset.

 

GMTED2010 provides seven elevation variables (mean, median, maximum, minimum, stdev, breakline, subsample) at three spatial resolutions (30 arc-second, 15 arc-second, 7.5 arc-second).





EGM96, EGM2008 geoid data in NetCDF format
Earth Gravitational Model (EGM) global geoid heights, from NASA and the US National Geospatial-Intelligence Agency (NGA), are available here in NetCDF4 format. The files here have been converted from GeoTiff format provided by Agisoft, based on original data from NGA.

 

EGM2008 provides two spatial resolutions (2.5 arc-minute, 1 arc-minute). EGM96 provides one spatial resolution (15 arc-minute), which has also been bilinearly interpolated here to 30 arc-second resolution to match the GMTED2010 grid. (Earth's surface elvation above the WGS84 ellipsoid is computed by adding GMTED2010 and EGM96 heights.)


Data processing

The NetCDF4 files in this repository were converted from their original source formats using GMTED2010-netcdf scripts.

References



Lemoine, F. G., S. C. Kenyon, J. K. Factor, R.G. Trimmer, N. K. Pavlis, D. S. Chinn, C. M. Cox, S. M. Klosko, S. B. Luthcke, M. H. Torrence, Y. M. Wang, R. G. Williamson, E. C. Pavlis, R. H. Rapp and T. R. Olson (1998). The Development of the Joint NASA GSFC and the National Imagery and Mapping Agency (NIMA) Geopotential Model EGM96. NASA/TP-1998-206861, July 1998. https://ntrs.nasa.gov/citations/19980218814

Pavlis, N. K., Holmes, S. A., Kenyon, S. C., & Factor, J. K. (2012). The development and evaluation of the Earth Gravitational Model 2008 (EGM2008). Journal of Geophysical Research: Solid Earth, 117(B4), 2011JB008916. https://doi.org/10.1029/2011JB008916

Danielson, J. J. and D. B. Gesch (2011). Global multi-resolution terrain elevation data 2010 (GMTED2010). U.S. Geologic Survey, Open-File Report 2011-1073, https://doi.org/10.3133/ofr20111073
DOI: 10.5281/zenodo.14537811
title: Global Elevation and Geoid Datasets in NetCDF Format: GMTED2010, EGM96, EGM2008

description: GMTED2010 global elevation data in NetCDF format
Global Multi-resolution Terrain Elevation Data (GMTED2010), from the US Geological Survey (USGS), are available here in NetCDF4 format. The files here have been converted from the original ESRI ArcGrid files distributed by USGS. GMTED2010 replaces the older GTOPO30 elevation dataset. Earth's surface elvation above the WGS84 ellipsoid is computed by adding GMTED2010 and EGM96 heights. See the USGS GMTED2010 webpage for a description of the dataset.

 

GMTED2010 provides seven elevation variables (mean, median, maximum, minimum, stdev, breakline, subsample) at three spatial resolutions (30 arc-second, 15 arc-second, 7.5 arc-second).





EGM96, EGM2008 geoid data in NetCDF format
Earth Gravitational Model (EGM) global geoid heights, from NASA and the US National Geospatial-Intelligence Agency (NGA), are available here in NetCDF4 format. The files here have been converted from GeoTiff format provided by Agisoft, based on original data from NGA.

 

EGM2008 provides two spatial resolutions (2.5 arc-minute, 1 arc-minute). EGM96 provides one spatial resolution (15 arc-minute), which has also been bilinearly interpolated here to 30 arc-second resolution to match the GMTED2010 grid. (Earth's surface elvation above the WGS84 ellipsoid is computed by adding GMTED2010 and EGM96 heights.)


Data processing

The NetCDF4 files in this repository were converted from their original source formats using GMTED2010-netcdf scripts.

References



Lemoine, F. G., S. C. Kenyon, J. K. Factor, R.G. Trimmer, N. K. Pavlis, D. S. Chinn, C. M. Cox, S. M. Klosko, S. B. Luthcke, M. H. Torrence, Y. M. Wang, R. G. Williamson, E. C. Pavlis, R. H. Rapp and T. R. Olson (1998). The Development of the Joint NASA GSFC and the National Imagery and Mapping Agency (NIMA) Geopotential Model EGM96. NASA/TP-1998-206861, July 1998. https://ntrs.nasa.gov/citations/19980218814

Pavlis, N. K., Holmes, S. A., Kenyon, S. C., & Factor, J. K. (2012). The development and evaluation of the Earth Gravitational Model 2008 (EGM2008). Journal of Geophysical Research: Solid Earth, 117(B4), 2011JB008916. https://doi.org/10.1029/2011JB008916

Danielson, J. J. and D. B. Gesch (2011). Global multi-resolution terrain elevation data 2010 (GMTED2010). U.S. Geologic Survey, Open-File Report 2011-1073, https://doi.org/10.3133/ofr20111073
DOI: 10.15468/dl.yxjg3s
title: Occurrence Download

description: A dataset containing 48694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Setophaga townsendi (J.K.Townsend, 1837)"
 ]
}

 The dataset includes 48694 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044631-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvdazq
title: Occurrence Download

description: A dataset containing 2445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Natrix astreptophora Seoane, 1885"
 ]
}

 The dataset includes 2445 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044633-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2fp5z
title: Occurrence Download

description: A dataset containing 55232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Sweden, Finland, Estonia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fucus vesiculosus L."
 ]
}

 The dataset includes 55232 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044636-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.363qzp
title: Occurrence Download

description: A dataset containing 39258 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Geometry POLYGON((-69.93 43.05,-59.08 43.05,-59.08 48.69,-69.93 48.69,-69.93 43.05))",
 "License is one of (CC0 1.0, CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochrophyta"
 ]
}

 The dataset includes 39258 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044634-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14537233
title: Data and Codes of Rethinking the Filling Process of Mega-dam Cascades

description: This is the data generated in the study "Rethinking the Filling Process of Mega-dam Cascades" and the codes for analyzing and visualizing the data.




1_of_values.xlsx
Objective function values of all solutions (i. e., filling strategies) tested in the optimization exercise


2_pareto.xlsx
Objective function values of all pareto solutions 


2_pareto.py
The code for visualizing the trade-off between operating objectives of the pareto solutions


3_seaborn.xlsx
Classification of the pareto solutions by the length of filing period


3_seaborn.py
The code for visualizing the relation between the length of the filling period and operating objectives


4_qcs_10.zip
Simulated discharge at Chiang Saen station using the optimal filling strategies, in which Xiaowan and Nuozhadu dams are filled in 4 and 3 years (X4-N3)


4_qcs_13.zip
Simulated discharge at Chiang Saen station using the optimal filling strategies, in which Xiaowan and Nuozhadu dams are filled in 5 and 2 years (X5-N2)


4_qcs_bl.zip
Simulated discharge at Chiang Saen station using historical filling strategy (the baseline)


4_qcs_na.zip
Simulated natural discharge at Chiang Saen station (without dam operations)


4_qcs.py
The code for analyzing and visualizing the comaprison of simulated discharge at Chiang Saen station using the alternative filing strategies (X4-N3 and X5-N2), the historical filing strategies (the baseline) and natural discharge (without dam operations)


5_res_10.zip
The storage volume timeseries of Xiaowan and Nuozhadu dams when applying the optimal filling strategies in group X4-N3


5_res_13.zip
The storage volume timeseries of Xiaowan and Nuozhadu dams when applying the optimal filling strategies in group X5-N2


5_res_bl.zip
The storage volume timeseries of Xiaowan and Nuozhadu dams when applying the historical filling strategy (the baseline)


5_afs.py
The code for visualizing the storage volume timeseries of Xiaowan and Nuozhadu dams when applying the alternative filing strategies (X4-N3 and X5-N2) over the base line
DOI: 10.5281/zenodo.14537813
title: Remote sensing for species distribution models: An illustration from a sentinel taxon of the world's driest ecosystem

description: In-situ observed data are commonly used as species occurrence response variables in species distribution models. However, the use of remotely observed data from high-resolution multispectral remote sensing images as a source of presence/absence data for species distribution models remains under-developed. Here, we describe an ensemble species distribution model of black microbial mats (Nostoc spp.) using presence/absence points derived from the unmixing of 4m resolution WorldView-2 and WorldView-3 images in the Lake Fryxell basin region of Taylor Valley, Antarctica. Environmental and topographical characteristics such as soil moisture, snow, elevation, slope, and aspect were used as predictor variables in our models. We demonstrate that we can build and run ensemble species distribution models using both dependent and independent variables derived from remote sensing data to generate spatially explicit habitat suitability maps. Snow and soil moisture were found to be the most important variables accounting for about 80% of the variation in the distribution of black mats throughout the Fryxell basin. This study highlights the potential contribution of high-resolution remote sensing to species distribution modeling and informs new studies incorporating remotely derived species occurrences in species distribution models, especially in remote areas where access to in situ data is often limited.
description: Funding provided by: National Science FoundationAward Number: OPP-2046260 Funding provided by: National Science FoundationAward Number: OPP-1847067 Funding provided by: National Science FoundationAward Number: OPP-2045880
DOI: 10.5281/zenodo.14537814
title: Remote sensing for species distribution models: An illustration from a sentinel taxon of the world's driest ecosystem

description: In-situ observed data are commonly used as species occurrence response variables in species distribution models. However, the use of remotely observed data from high-resolution multispectral remote sensing images as a source of presence/absence data for species distribution models remains under-developed. Here, we describe an ensemble species distribution model of black microbial mats (Nostoc spp.) using presence/absence points derived from the unmixing of 4m resolution WorldView-2 and WorldView-3 images in the Lake Fryxell basin region of Taylor Valley, Antarctica. Environmental and topographical characteristics such as soil moisture, snow, elevation, slope, and aspect were used as predictor variables in our models. We demonstrate that we can build and run ensemble species distribution models using both dependent and independent variables derived from remote sensing data to generate spatially explicit habitat suitability maps. Snow and soil moisture were found to be the most important variables accounting for about 80% of the variation in the distribution of black mats throughout the Fryxell basin. This study highlights the potential contribution of high-resolution remote sensing to species distribution modeling and informs new studies incorporating remotely derived species occurrences in species distribution models, especially in remote areas where access to in situ data is often limited.
description: Funding provided by: National Science FoundationAward Number: OPP-2046260 Funding provided by: National Science FoundationAward Number: OPP-1847067 Funding provided by: National Science FoundationAward Number: OPP-2045880
DOI: 10.15468/dl.4387m9
title: Occurrence Download

description: A dataset containing 132598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Setophaga petechia (Linnaeus, 1766)"
 ]
}

 The dataset includes 132598 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044626-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/dcdeeca6f4f17ff71d0ed10f2422abba
title: Temperature data for the Green Lake 4 buoy, 2018 - ongoing.

description: High-resolution water quality data are fundamental to observing
 rapid ecological responses to meteorology, climate, and other
 disturbance events. Here we describe the deployment of a single buoy
 line with multiple sensors at fixed-depths from a subsurface float
 in the water-column of Green Lake 4 (GL4). Sensors on the buoy
 collect data in both summer and winter, thereby providing valuable
 insights into lake characteristics beyond our standard sampling
 period, including key transitional periods such as ice formation and
 ice break-up.
DOI: 10.25345/c5tm72c8f
title: MassIVE MSV000096718 - Montipora capitata continuous range of bleaching thresholds
title: Holobiont metabolomes of 55 Montipora capitata colonies sourced from a single shallow reef in Kane'ohe Bay, Hawai'i.
DOI: 10.15468/dl.pc9s9e
title: Occurrence Download

description: A dataset containing 3154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-128.80446 39.77884,-119.95179 39.77884,-119.95179 51.18411,-128.80446 51.18411,-128.80446 39.77884))",
 "HasCoordinate is true",
 "TaxonKey is Cantharellus Adans. ex Fr., 1821"
 ]
}

 The dataset includes 3154 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044639-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14254158
title: Deverbal nominalizations and aspect in Pannonian Rusyn, BCMS, Ukrainian and Slovak

description: This dataset contains several texts in Pannonian Rusyn, BCMS, Ukrainian and Slovak, manually annotated for deverbal nominalizations and the aspect of the base verb from which they are derived. Below is the list of the sources used. For each of the .cvs files in this dataset whose filename corresponds to the initial string in the list below, there is an additional readme file with _readme.txt appended to the filename. Further information about the process of annotation as well as the contents of the corresponding cvs file are present in the respective readme files. The first three letters of the filenames correspond to the language of the sample (rsk Pannonian Rusyn; svk Slovak; ukr Ukranian; hbs BCMS).

Sources:

rsk_rutstud – Rusinistični studiji [Ruthenian studies]. (2018). 2. Available at https://rusinisticnistudi.ff.uns.ac.rs/index.php/rs/issue/view/2/2560-3612-2-2018

rsk_lendjer – Lendjer, A. (2017). Literaturno-istorijni diskurs dramskoho dodatku časopisa "Švetlosc" u periodze od 1952. roku po 2010. rok [Literary-historical discourse of the dramatical supplement to the journal Švetlosc from 1952 to 2010]. Zavod za kulturu vojvodjanskich Rusnacoch. Available at https://zavod.rs/wp-content/uploads/2017/07/Master-rad-Aleksandra-Lendjer.pdf

rsk_mudri – Mudri, A. (2014). Poljodjilska leksika u ruskim jaziku [Agricultural lexicon in Rusyn]. Zavod za kulturu vojvodjanskich Rusnacoch. Available at https://zavod.rs/wp-content/uploads/2019/04/mudri-web.pdf

svk_culturologica – Culturologica Slovaca. (2023). 1. Available at http://www.culturologicaslovaca.ff.ukf.sk/images/No8_1_2023/Culturologica%20Slovaca%208_1.pdf

ukr_yi65 – Yi. (2011) 65. Available at https://www.ji.lviv.ua/pdf/65.pdf

ukr_provyny – Hudak, S. (2015). Provyny i zrady [Guilt and betrayal]. Zavod za kulturu vojvodjanskich Rusnacoch. Available at https://zavod.rs/wp-content/uploads/2019/07/Stefan-Hudak-Provini-i-zradi-web.pdf

hbs_temat – Kulić, M., & Kulić, M. (Eds.). (2019). Poezija mladih [Youth poetry]. Kult izdavaštvo. Available at https://casopiskult.com/category/kult-izdavastvo/cetvrti-broj-casopisa-kult/