cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15478976
title: LaMEM and ASPECT input and data files corresponding to Exploiting Physics-Based Machine Learning to Quantify Geodynamic Effects – Insights from the Alpine Region

description: The repository contains input a sample file for LaMEM and ASPECT simulation presented in "Exploiting Physics-Based Machine Learning to Quantify Geodynamic Effects – Insights from the Alpine Region" by Denise Degen, Ajay Kumar, Magdalena Scheck-Wenderoth, Mauro Cacace , DOI: https://doi.org/10.5281/zenodo.14755256.

ASPECT simulation files, geometry and input files are in aspect_input. Please see the README in this folder.

LaMEM simulation files, geometry (marker distributions) and input files, are in LaMEM_input. Please see the README in this folder. 

Here, we provide required datafiles and input file for a sample simulation. Pre/postprocess bash shell scripts to automaticaly generate input files for all the surogate scenerios, and correspoing LaMEM input files, and python script for data extraction are also provided at https://doi.org/10.5281/zenodo.16640814. 

NOTE: The models numeric name (i.e., Train_78, Train_89) corresponds to the line number in the following files. In the manuscript the model numbers are line number of the model minus two. 

Surrogate_model_prep_data:1. Varying Densities1.1 TrainingParameterAlps_LHS_100_density_only.txt : Training models1.2 ValidationParameterAlps_random_15_density_only.txt : Validation models

2. Varying Densities and Viscosities2.1 TrainingParameterAlps_LHS_100_vary_viscosity_density.txt : Training models2.2 ValidationParameterAlps_random_15_vary_viscosity_density.txt : Validation models

3. Varying Viscosities3.1 TrainingParameterAlps_LHS_reduced_range_fixed_density.txt : Training models3.1 ValidationParameterAlps_random_20_reduced_range_fixed_density.txt : Validation models
DOI: 10.5281/zenodo.17051562
title: LaMEM and ASPECT input and data files corresponding to Exploiting Physics-Based Machine Learning to Quantify Geodynamic Effects – Insights from the Alpine Region

description: The repository contains input a sample file for LaMEM and ASPECT simulation presented in "Exploiting Physics-Based Machine Learning to Quantify Geodynamic Effects – Insights from the Alpine Region" by Denise Degen, Ajay Kumar, Magdalena Scheck-Wenderoth, Mauro Cacace , DOI: https://doi.org/10.5281/zenodo.14755256.

ASPECT simulation files, geometry and input files are in aspect_input. Please see the README in this folder.

LaMEM simulation files, geometry (marker distributions) and input files, are in LaMEM_input. Please see the README in this folder. 

Here, we provide required datafiles and input file for a sample simulation. Pre/postprocess bash shell scripts to automaticaly generate input files for all the surogate scenerios, and correspoing LaMEM input files, and python script for data extraction are also provided at https://doi.org/10.5281/zenodo.16640814. 

NOTE: The models numeric name (i.e., Train_78, Train_89) corresponds to the line number in the following files. In the manuscript the model numbers are line number of the model minus two. 

Surrogate_model_prep_data:1. Varying Densities1.1 TrainingParameterAlps_LHS_100_density_only.txt : Training models1.2 ValidationParameterAlps_random_15_density_only.txt : Validation models

2. Varying Densities and Viscosities2.1 TrainingParameterAlps_LHS_100_vary_viscosity_density.txt : Training models2.2 ValidationParameterAlps_random_15_vary_viscosity_density.txt : Validation models

3. Varying Viscosities3.1 TrainingParameterAlps_LHS_reduced_range_fixed_density.txt : Training models3.1 ValidationParameterAlps_random_20_reduced_range_fixed_density.txt : Validation models
DOI: 10.5281/zenodo.16108495
title: 3) sensAIfood cereal NIR data (wheat, maze, barley, spelt) and reference protein and moisture (CRA-W set)

description: Nir spectra dataset of barley, spelt, wheat and maze grains, with either protein, moisture or both reference measurements. Contributions from CRAW-W (Centre wallon de Recherches agronomiques) represented by Dr. Vincent Baeten. Different datasets were taken with different spectrometers: Foss XDS Monochromator XM-1000, range 400 - 2500 nm and Foss NIRSYSTEM-5000, range 1100 - 2500. These datasets consists in data from different years, from different cereals from Belgium.



The nomenclature used for the file names has the following structure. Cereal_sensAIfood_Y_NSamples_Spectrometer_CRAW

 

The data is distributed in 3 folders containing datasets acquired from different spectrometers and divided into Protein only, Moisture only and Protein and Moisture reference values. Please consult the corresponding _metadata.xls for details about the reference measurements.

 



 MOISTURE Barley_sensAIfood_Moist_337_XDS_CRAW.csv Barley_sensAIfood_Moist_985_NIRS5000_CRAW.csv Maize_sensAIfood_Moist_585_NIRS5000_CRAW.csv Spelt_sensAIfood_Moist_198_XDS_CRAW.csv Spelt_sensAIfood_Moist_411_XDS_CRAW.csv Wheat2_sensAIfood_Moist_500_XDS_CRAW.csv WheatDurum_sensAIfood_Moist_170_XDS_CRAW.csv Wheat_sensAIfood_Moist_3305_NIRS5000_CRAW.csv Wheat_sensAIfood_Moist_500_XDS_CRAW.csv

 PROTEIN AND MOISTURE Barley_sensAIfood_Prot_Moist_636_XDS_CRAW.csv WheatDurum_sensAIfood_Prot_Moist_500_XDS_CRAW.csv

 PROTEIN Barley_sensAIfood_Protein_2096_NIRS5000_CRAW.csv Maize_sensAIfood_Protein_549_NIRS5000_CRAW.csv Spelt_sensAIfood_Protein_411_XDS_CRAW.csv Spelt_sensAIfood_Protein_45_XDS_CRAW.csv WheatDurum_sensAIfood_Protein_125_XDS_CRAW.csv Wheat_sensAIfood_Protein_231_XDS_CRAW.csv Wheat_sensAIfood_Protein_500_XDS_CRAW.csv Wheat_sensAIfood_Protein_5046_NIRS5000_CRAW.csv


 

We also include an example import script in python (.ipynb)

NOTE: Please note that the wet chemistry lab reference measurements of protein in different datasets/cereals use different reference measurements (DM=6.25, DM=5.7, as-is, etc.). This impacts the overall scale of protein content and should be taken into account if you are mixing datasets (e.g. one for model training and another for validation). All the information about the reference methods is available in the accompanying metadata files.
DOI: 10.5281/zenodo.16108496
title: 3) sensAIfood cereal NIR data (wheat, maze, barley, spelt) and reference protein and moisture (CRA-W set)

description: Nir spectra dataset of barley, spelt, wheat and maze grains, with either protein, moisture or both reference measurements. Contributions from CRAW-W (Centre wallon de Recherches agronomiques) represented by Dr. Vincent Baeten. Different datasets were taken with different spectrometers: Foss XDS Monochromator XM-1000, range 400 - 2500 nm and Foss NIRSYSTEM-5000, range 1100 - 2500. These datasets consists in data from different years, from different cereals from Belgium.



The nomenclature used for the file names has the following structure. Cereal_sensAIfood_Y_NSamples_Spectrometer_CRAW

 

The data is distributed in 3 folders containing datasets acquired from different spectrometers and divided into Protein only, Moisture only and Protein and Moisture reference values. Please consult the corresponding _metadata.xls for details about the reference measurements.

 



 MOISTURE Barley_sensAIfood_Moist_337_XDS_CRAW.csv Barley_sensAIfood_Moist_985_NIRS5000_CRAW.csv Maize_sensAIfood_Moist_585_NIRS5000_CRAW.csv Spelt_sensAIfood_Moist_198_XDS_CRAW.csv Spelt_sensAIfood_Moist_411_XDS_CRAW.csv Wheat2_sensAIfood_Moist_500_XDS_CRAW.csv WheatDurum_sensAIfood_Moist_170_XDS_CRAW.csv Wheat_sensAIfood_Moist_3305_NIRS5000_CRAW.csv Wheat_sensAIfood_Moist_500_XDS_CRAW.csv

 PROTEIN AND MOISTURE Barley_sensAIfood_Prot_Moist_636_XDS_CRAW.csv WheatDurum_sensAIfood_Prot_Moist_500_XDS_CRAW.csv

 PROTEIN Barley_sensAIfood_Protein_2096_NIRS5000_CRAW.csv Maize_sensAIfood_Protein_549_NIRS5000_CRAW.csv Spelt_sensAIfood_Protein_411_XDS_CRAW.csv Spelt_sensAIfood_Protein_45_XDS_CRAW.csv WheatDurum_sensAIfood_Protein_125_XDS_CRAW.csv Wheat_sensAIfood_Protein_231_XDS_CRAW.csv Wheat_sensAIfood_Protein_500_XDS_CRAW.csv Wheat_sensAIfood_Protein_5046_NIRS5000_CRAW.csv


 

We also include an example import script in python (.ipynb)

NOTE: Please note that the wet chemistry lab reference measurements of protein in different datasets/cereals use different reference measurements (DM=6.25, DM=5.7, as-is, etc.). This impacts the overall scale of protein content and should be taken into account if you are mixing datasets (e.g. one for model training and another for validation). All the information about the reference methods is available in the accompanying metadata files.
DOI: 10.15468/dl.kde49v
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Mongolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Agropyron mongolicum"
 ]
}

 The dataset includes 36 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025530-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c2765
title: Occurrence Download

description: A dataset containing 29957 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mertensia virginica"
 ]
}

 The dataset includes 29957 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025531-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ck2w4u
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025532-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5z7bbt
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025533-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17034215
title: Assessment of larval susceptibility of the wild strain of Aedes aegypti, Culex quinquefasciatus and Culex gelidus from Chennai to Temephos 50% EC

description: Assessment of larval susceptibility of the wild strain of Aedes aegypti, Culex quinquefasciatus and Culex gelidus from Chennai to Temephos 50% EC
DOI: 10.5281/zenodo.17053337
title: Magnetic hysteresis dataset of magnetic powders

description: Dataset of magnetic hysteresis (JH, BH) measurements of magnetorheological elastomers filled with 50 percent by weight by following powders:

1) Carbonyl Iron, Type SQ

2) Carbonyl Iron, Type HS

3) ferrosilicon powder, Fe85Si15

4) neodymium-iron-boron, MQP-15-7

5) strontium ferrite, SF-D360

6) magnetite, Fe3O4

7) ferroxide, Fe2O3
DOI: 10.5281/zenodo.17053338
title: Magnetic hysteresis dataset of magnetic powders

description: Dataset of magnetic hysteresis (JH, BH) measurements of magnetorheological elastomers filled with 50 percent by weight by following powders:

1) Carbonyl Iron, Type SQ

2) Carbonyl Iron, Type HS

3) ferrosilicon powder, Fe85Si15

4) neodymium-iron-boron, MQP-15-7

5) strontium ferrite, SF-D360

6) magnetite, Fe3O4

7) ferroxide, Fe2O3
DOI: 10.15468/dl.xceejp
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrilus fleischeri"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025536-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.de35k2
title: Occurrence Download

description: A dataset containing 1611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Richea continentis"
 ]
}

 The dataset includes 1611 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025537-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbm3ak
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025534-250827131500795/datasets/export for details.
DOI: 10.15468/dl.gbwteu
title: Occurrence Download

description: A dataset containing 164 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera tigris altaica"
 ]
}

 The dataset includes 164 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025538-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qw8a73
title: Occurrence Download

description: A dataset containing 12008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.45539564576345 48.229324216109845, 16.595183357168455 48.221044218983536, 16.607512388504148 48.31513873030808, 16.467466831843126 48.3234365323404, 16.45539564576345 48.229324216109845))"
 ]
}

 The dataset includes 12008 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025535-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.28443302
title: Exploration of the multifunctional applications of laccase, a versatile multi-copper enzyme found in fungi, plants, and bacteria

description: In this research, laccase enzyme was immobilized on metal-polymer composite beads, and the beads were used to treat dye and antibiotics in wastewater. Laccase was also immobilized on a metal-polymer composite for application in the detection of organic pollutants in tap and wastewater. Laccase enzyme was immobilized on metal-polymer composites comprising either zinc oxide nanoparticles (ZnONPs) or silver-doped ZnONPs (Ag@ZnONPs) embedded in chitosan, polyvinylpolypyrrolidone (PVPP) and polyaniline (PANI) polymers.
DOI: 10.25403/upresearchdata.28443302.v1
title: Exploration of the multifunctional applications of laccase, a versatile multi-copper enzyme found in fungi, plants, and bacteria

description: In this research, laccase enzyme was immobilized on metal-polymer composite beads, and the beads were used to treat dye and antibiotics in wastewater. Laccase was also immobilized on a metal-polymer composite for application in the detection of organic pollutants in tap and wastewater. Laccase enzyme was immobilized on metal-polymer composites comprising either zinc oxide nanoparticles (ZnONPs) or silver-doped ZnONPs (Ag@ZnONPs) embedded in chitosan, polyvinylpolypyrrolidone (PVPP) and polyaniline (PANI) polymers.
DOI: 10.15468/dl.z5rheh
title: Occurrence Download

description: A dataset containing 15039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Centipeda cunninghamii"
 ]
}

 The dataset includes 15039 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025540-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htq4xh
title: Occurrence Download

description: A dataset containing 843 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 843 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003166-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gug7f7
title: Occurrence Download

description: A dataset containing 7421 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((69.6909 35.85181,88.56609 24.94875,97.47612 23.07295,113.1859 7.94936,137.68847 51.56159,122.91658 54.72699,84.11108 51.79607,69.6909 35.85181))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ciconia nigra (Linnaeus, 1758)"
 ]
}

 The dataset includes 7421 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008759-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jgfqsy
title: Occurrence Download

description: A dataset containing 1872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.83963 47.20109,-78.91797 47.66054,-80.77004 46.05983,-79.93108 45.74074,-79.84939 44.7405,-79.02499 44.02226,-78.87921 42.80789,-78.75612 41.70684,-74.81621 41.52958,-72.80853 40.26606,-71.73511 40.92806,-69.89798 41.1108,-69.39086 41.76116,-70.35045 42.41798,-70.06721 43.36247,-66.70702 44.82867,-67.70084 45.66362,-67.83963 47.20109))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sorex fumeus G.M.Miller, 1895"
 ]
}

 The dataset includes 1872 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0194324-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.asjyqq
title: Occurrence Download

description: A dataset containing 826 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((118.39 -42.56,118.39 -11.44,180.61 -11.44,180.61 -42.56,118.39 -42.56))",
 "HasCoordinate is true",
 "TaxonKey is Calamus muelleri H.Wendl.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 826 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003166-170925132151566/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxxfpt
title: Occurrence Download

description: A dataset containing 2729761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Reptilia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2729761 records from 601 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003167-150316153013904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75pu6e
title: Occurrence Download

description: A dataset containing 54398843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.178 46.72622,2.42464 46.72622,3.07823 51.50091,-8.178 50.46211,-8.178 46.72622))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 54398843 records from 5794 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008757-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwa1lc
title: Occurrence Download

description: A dataset listing the 1141 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis variabilis (Lynch, 1968)"
 ]
}

 The dataset's 1141 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001540-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2qf9d
title: Occurrence Download

description: A dataset containing 1532830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is one of (Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Catálogo electrónico de especímenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV (Ejemplaresimagenes), Actualización y depuración de la base de datos del Herbario del Instituto de Ecología, AC, Centro Regional del Bajío. Fase 2)"
 ]
}

 The dataset includes 1532830 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000869-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.158954
title: OUCHEBTI DEIR EL-MÉDINA_nb_1971_07745

description: Référence : nb_1971_07745<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.352w4t
title: Occurrence Download

description: A dataset containing 38354 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Corvus bennetti North, 1901"
 ]
}

 The dataset includes 38354 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0386323-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4q7wh
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Amphioctopus marginatus (Taki, 1964)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 98 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001299-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.158955
title: OUCHEBTI DEIR EL-MÉDINA_nb_1971_07746

description: Référence : nb_1971_07746<br />Site : Deir el-Médina<br />Secteur : P_1283<br />Type : photographie<br />
DOI: 10.15468/dl.jnfkhs
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelis liberalis Luer & J.Portilla"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141813-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.158956
title: OUCHEBTI DEIR EL-MÉDINA_nb_1971_07747

description: Référence : nb_1971_07747<br />Site : Deir el-Médina<br />Type : photographie<br />