cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5445/ir/1000152590
title: Numerical experiments for "Dynamical low-rank integrators for second-order matrix differential equations"
DOI: 10.34740/kaggle/dsv/4776863
title: AutoXGB
DOI: 10.5281/zenodo.7432646
title: Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species, developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution

description: Native ecological niche models of 1508 European species (894 fish and 614 non fish) developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, for 2019 and under RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, at 0.5° spatial resolution.
DOI: 10.5281/zenodo.7361023
title: Ecological Niche Models, in 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, of 1508 European Marine Species, developed with Artificial Neural Networks, Maximum Entropy, Support Vector Machines, and AquaMaps at 0.5° Resolution

description: Native ecological niche models of 1508 European species (894 fish and 614 non fish) developed with AquaMaps, Artificial Neural Networks, Maximum Entropy, and Support Vector Machines, for 2019 and under RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100, at 0.5° spatial resolution.
DOI: 10.5281/zenodo.7361251
title: Data for Marine Ecological Niche Models, for 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100: Global-scale Environmental parameters at 0.1° and 0.5° resolutions, Presence and Absence Records of 1508 European-seas Species

description: Data for Ecological Niche Models: Global-scale Environmental parameters at 0.1° and 0.5° resolutions, Presence and Absence Records of 1508 European-seas Species.
DOI: 10.5281/zenodo.7361166
title: Data for Marine Ecological Niche Models, for 2019 and across RCP 2.6, 4.5, and 8.5 scenarios in 2050 and 2100: Global-scale Environmental parameters at 0.1° and 0.5° resolutions, Presence and Absence Records of 1508 European-seas Species

description: Data for Ecological Niche Models: Global-scale Environmental parameters at 0.1° and 0.5° resolutions, Presence and Absence Records of 1508 European-seas Species.
DOI: 10.5281/zenodo.4697271
title: Termite methane emissions, measured in the Amazon rainforest

description: <strong>Termite methane emissions, measured in the Amazon rainforest</strong> The magnitude of termite methane (CH<sub>4</sub>) emissions is still an uncertain part of the global CH<sub>4</sub> budget and current emission estimates are based on limited field studies. This dataset presents in situ CH<sub>4</sub> and CO<sub>2</sub> emission measurements of termite mounds (dataset A) and termite mound subsamples (dataset B) performed in the Amazon rainforest (fieldsite ZF2, INPA, -2.6091, -60.2093, 50 km northwest of Manaus, Brazil) in March 2020. A repetition of the measurements was performed in October and December 2020. <strong>Dataset A: Termite mound emissions</strong><br> Emissions from five termite mounds (nests) of the species <em>Neocapritermes brasiliensis</em> were measured by use of a large flux chamber (220L) connected to a portable gas analyser (Los Gatos Research). The flux chamber was placed over the mound for 20 minutes, during which time concentrations of CH<sub>4</sub> and CO<sub>2</sub> were measured. By use of linear regression over the concentration increase, mound CH<sub>4</sub> and CO<sub>2</sub> emissions could be calculated. Each mound was measured 4 times. The dataset gives the details of each mound (height, volume, termite species) and shows the measured CO<sub>2</sub> and CH<sub>4</sub> fluxes. Mound emissions were found to range between 17.0 and 34.8 nmol mound<sup>−1</sup> s<sup>−1</sup> for CH<sub>4</sub> and between 1.1 and 13.0 μmol mound<sup>−1</sup> s<sup>−1</sup> for CO<sub>2</sub> . <br> <strong>Dataset B: 'Individual' termite emissions</strong><br> From the five termite mounds, small subsamples were sampled, and the emission of each piece was measured. Afterwards, samples were carefully broken open, and termites were counted. With these measurements, a termite emission factor (emission per termite) could be calculated. The dataset shows the measured emission per subsample, and the amount of counted termites. A termite emission factor of 0.35 μmol CH<sub>4</sub> g<sup>−1</sup> h<sup>−1</sup> was found (0.0002985 nmol termite<sup>−1 </sup>s<sup>−1</sup>), which is almost twice as high as the only other reported value for the Amazon. <strong>More information can be found in the following article:<br> ‘van Asperen et al. (2021)-https://doi.org/10.5194/bg-2020-384</strong> <em>van Asperen, H., Alves-Oliveira, J. R., Warneke, T., Forsberg, B., de Araújo, A.C., and Notholt, J, The role of termite CH<sub>4</sub> emissions on the ecosystem scale: a case study in the Amazon rainforest, Biogeosciences’</em>
description: This research has been supported by the Deutsche Forschungsgemeinschaft (DFG) (grant no. 352322796)
DOI: 10.17188/1680942
title: Materials Data on NaCo2P3O10 by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.17632/pn7y7sskc7.3
title: Compartmental Fire Temperature Data from Body and Platform-mounted Sensors in Live Fire-Suppression Exercises

description: The data comprises of time-stamped temperature values in degrees Celsius recorded during fire-suppression exercises conducted at various UK and US fire-training facilities. The first day of the visit was split into two burn sessions as follows: • The first being a demonstration of gas cooling performed in a “lay-flat” chamber. • The second being a re-qualification exercise performed in the multi-compartment chamber. Day 1 - Session 1: Lay-flat chamber Two TMRDs (#5 & #6) were worn in the torch clips on the breathing apparatus (BA) harnesses by the instructors during their demonstration of the “gas cooling” technique for controlling a fire. The fire was lit in the right hand corner of the chamber and as the demonstrations progresses with the fire being allowed to repeatedly develop and then “gas cooling” being deployed the fire progressed to include the fuel in the left hand corner of the chamber. The data logged temperatures show the cycles and the effect of the “gas cooling” technique. Day 1 – Session 2: Multi-compartment chamber Three TMRDs (#5, #7 and #8) were worn in the same position as before by the instructors during the re-qualification exercise (Figure 3). Two other TMRDs were attached to a stand at 1.3m high (#6) and 1.7m high (#9) and the stand was placed in the corner of the burn chamber for the duration of the exercise. The second day was again split into two burn sessions utilising the “Industrial B” building with the firefighting team using standard operating procedures to extinguish the fires. 1.1 Day 2 - Session 1: Top-floor industrial unit B Session 1 was conducted on the upper floor of the building which has a high ceiling where 2 double loadings of fuel were used. Three TMRD units were deployed, one on the helmet and one at chest height on the team fighting the fire and the third on the observer at shoulder height. In this session, 3 TMRDs were used with #B mounted on the helmet of one of the firefighters tackling the burn, #D mounted on the chest of the other firefighter and #C was on the shoulder of the observer. 1.2 Day 2 - Session 2: Lower-floor industrial unit B Session 2 was conducted on the lower floor of the building which has a standard height ceiling where 1 double and 1 single loading of fuel were used. In this session, a total of three TMRD units were deployed, one on the helmet and one at shoulder height on the team fighting the fire and the third on the observer at shoulder height In this session, one double and one single fuel load were utilised and the fire allowed to develop before a firefighting team entered the building and dealt with the fire using their standard operation procedures. The team consisted of two firefighters to tackle the fire and a third to observe and report progress over a radio link where 3 TMRDs were used with #B mounted on the helmet of one of the firefighters tackling the burn, #D mounted on the shoulder of the other firefighter and #C was on the shoulder of the observer.
DOI: 10.5281/zenodo.235668
title: Wood transverse cross-section micro-imagery from 77 commercial Central-African timber species

description: The database is composed by a total of 1221 images of 77 Congolese timber species belonging to 58 genera and 25 families. Based on this list, the transverse sections of all available anatomical slides of the Tervuren Xylarium (Royal Museum for Central Africa) were inspected under the light microscope. Only sections free of cracks and artifacts (e.g., enclosed air bubbles), uniform in texture, sufficiently thin and free of staining agents were selected. Cross-sections were cut with a sliding microtome, dehydrated in a graded ethanol series (50%, 75%, 96% and 100%) and fixed with Euparal. Please cite as: Rosa da Silva, N., De Ridder, M., Baetens, J.M. <em>et al.</em> Automated classification of wood transverse cross-section micro-imagery from 77 commercial Central-African timber species. <em>Annals of Forest Science</em> 74, 30 (2017). https://doi.org/10.1007/s13595-017-0619-0
DOI: 10.5281/zenodo.4580292
title: Error estimates of Amazon catchment-balance evapotranspiration

description: Monthly-scale estimates of error in Amazon-mean catchment-balance evapotranspiration (ET) from 2003 to 2013. The file includes absolute errors in precipitation (sigma_P), river runoff (sigma_R) and change in groundwater storage (sigma_dSdt), absolute errors in ET (sigma_ET), Amazon catchment-scale ET estimates (in mm), and the relative error in ET (in %). Errors were calculated by propagating errors in each term of the water budget equation. Catchment level estimates of climate variables used to estimate Amazon catchment-balance ET are provided here https://doi.org/10.5281/zenodo.4271331. Full details of all source datasets and methods are provided in 'Evapotranspiration in the Amazon: spatial patterns, seasonality and recent trends in observations, reanalysis and CMIP models' in Hydrology and Earth System Sciences, https://doi.org/10.5194/hess-2020-523.
DOI: 10.5281/zenodo.4588375
title: maudqueroue/MultispeciesIPM_SkuaPetrel: First realease mIPM SkuaPetrel

description: This is the first release.
DOI: 10.5281/zenodo.4692460
title: JULES-CN: a coupled terrestrial Carbon-Nitrogen Scheme (JULES vn5.1)

description: This is the JULES output data that are analysed and presented in the paper entitled "JULES-CN: a coupled terrestrial Carbon-Nitrogen Scheme (JULES vn5.1)" by Wiltshire et al., 2021, DOI: https://doi.org/10.5194/gmd-2020-205. The data are annual mean model output data for vn5.1 of JULES. The filenames are in the format <strong><em>CONFIGURATION</em></strong>.<strong><em>NAME</em></strong>.<strong><em>YEAR</em></strong>.nc <strong><em>CONFIGURATION </em></strong>is one of: <em><strong>vn5.1_loff_noff_GMD </strong></em>- this is using the carbon cycle only configuration of JULES, i.e. the JULES-C configuration <em><strong>vn5.1_loff_non_GMD </strong></em>- this is using the carbon and nitrogen configuration of JULES, i.e. the JULES-CN configuration <em><strong>vn5.1_lon_non_GMD </strong></em>- this is using the carbon and nitrogen configuration of JULES with layered soil biogeochemistry, i.e. the JULES-CNlayered configuration. <strong><em>NAME </em></strong>is one of: <em><strong>S2.C_N_Annual</strong></em> - mainly carbon and nitrogen variables <em><strong>S2.Annual</strong></em> - mainly physical variables <strong><em>YEAR </em></strong>is one of: year between <em><strong>1860 </strong></em>and <em><strong>2009</strong></em>
description: This work was also supported by the Joint UK BEIS/Defra Met Office Hadley Centre Climate Programme (GA01101).
DOI: 10.5281/zenodo.6969316
title: Foreign Language Processing of English Regular and Irregular Past Tense Verbs by Arabic-Speaking EFL Children

description: Summary of results.
DOI: 10.5439/1482660
title: ARM: GHG Flask Samplers for Carbon Cycle Gases and Isotopes

description: GHG Flask Samplers for Carbon Cycle Gases and Isotopes
DOI: 10.7479/t80n-ta02
title: Data from: Museomics and protein-encoding ultraconserved elements illuminate the evolution of feeding habits and phallic morphology of flesh flies (Diptera: Sarcophagidae)

description: This is a dataset of ultraconserved elements (UCE) of 110 species of flesh flies (Sarcophagidae) and 31 taxa from the fly families Anthomyiidae, Calliphoridae, Fanniidae, Mesembrinellidae, Oestridae, Polleniidae, Rhiniidae, Rhinophoridae, Scathophagidae, and Tachinidae. UCE loci deposited here were obtained through targeted enrichment using a probe set for UCEs of Calyptratae and genomic DNA. The pooled libraries were sequenced using two lanes of a 125-bp paired-end Illumina HiSeq 2500 run. Illumiprocessor based on the package Trimmomatic was used to trim the demultiplexed FASTQ data output for adapter contamination and low-quality bases. Cleaned reads were assembled using Trinity. Usage Notes UCE trinity assemblies used for concatenated analyses on RAxML and ASTRAL: Sarcophagidae_Trinity_assemblies_contigs.zip
DOI: 10.3886/e139761v2
title: Data and Code for: Reconstruction of the Spanish Money Supply, 1492-1810

description: How did the Spanish money supply evolve in the aftermath of the discovery of large amounts of precious metals in Spanish America? We synthesize the available data on the mining of precious metals and their international flow to estimate the money supply for Spain from 1492 to 1810. Our estimate suggests that the Spanish money supply increased more than ten-fold. Viewed through the equation of exchange this money supply increase can account for most of the price level rise in early modern Spain.
description: Early modern world economy, 1492-1810, especially Spanish Empire<br>.
DOI: 10.5281/zenodo.4480206
title: The impact of cell-type and context-dependent regulatory variants on human immune traits

description: This data repository contains large processed data for our publication: The impact of cell-type and context-dependent regulatory variants on human immune traits
DOI: 10.5281/zenodo.4644553
title: Data for the publication "Microphysical investigation of the seeder and feeder region of an Alpine mixed-phase cloud"

description: This repository contains the data for the paper: Ramelli, F., Henneberger, J., David, R. O., Bühl, J., Radenz, M., Seifert, P., Wieder, J., Lauber, A., Pasquier, J. T., Engelmann, R., Mignani, C., Hervo, M., and Lohmann, U.: Microphysical investigation of the seeder and feeder region of an Alpine mixed-phase cloud, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2020-772, in review, 2020. More information can be found in the README files. Note that the scripts to plot the data are to be found in the accompanying package (10.5281/zenodo.4645427).
DOI: 10.6084/m9.figshare.21679415.v1
title: Coordinated supraspinal and spinal neurostimulation guides circuit rewiring and unlocks motor recovery after spinal cord injury (RNASeq Data)

description: A comparison of differentially expressed genes in the cervical 3rd and 4th segments of mouse spinal cord following spinal cord injury and coordinated stimulation of corticospinal projection neurons and long propriospinal neurons.
DOI: 10.5066/f7tq5zq6
title: Classified point cloud data from the 2005 B4 Lidar Project, southern California

description: This data set is derived from the original 2005 data collected over the southern San Andreas and San Jacinto fault zones in southern California, USA. These data have provided a fundamental resource for study of active faulting in southern California since they were released in 2005. However, these data were not classified in a manner that allowed for easy differentiation between bare ground surfaces and the objects and vegetation above that surface. This reprocessed (classified) dataset allows researchers easy and direct access to a "bare-earth" digital elevation data set as gridded half-meter resolution rasters (elevation and shaded relief), "full-feature" digital elevation models as gridded one-meter resolution rasters (elevation and shaded relief) and as classified (according to ASPRS standards) point clouds in binary .laz format, and a spatial index in shapefile and Google Earth KML format.
DOI: 10.17632/p8ywsnj8c5.1
title: Earthworm species in Musa spp. (plantain and banana) plantations worldwide

description: Plantains and bananas (Musa spp.) are perennial crops grown primarily in the tropics and subtropics that may provide suitable habitats for earthworm communities. However, little is known regarding the effects of these crops on the abundance and diversity of earthworm species, and the occurrence of native and exotic earthworm species in plantations worldwide. Hence, a review of the literature was performed to evaluate earthworm communities (abundance, biomass, species composition) in plantain and banana fields worldwide. Both the common and scientific names of bananas/plantains were used for a bibliographic search online using keywords in English, Portuguese, French and Spanish: Musa (genus), Musa acuminata, Musa balbisiana, banana, banane, banano, plátano and plantain. These were then crossed with the common names of earthworms in these languages: earthworms, minhoca, oligochaeta, oligoqueta, vers de terre and lombriz de tierra. Online scientific databases (e.g., Web of Science, Science Direct, Scielo, google academic and the Base de Dados de Teses e Dissertações of Brazil) were consulted. The resulting publications were reviewed and those containing data on species identification were selected and these data extracted, as well as information on sampling sites (localities, countries, and crop management practices). Earthworm species were separated into different families and into native or exotic to the region of occurrence, and species richness per site and for each group (native, exotic) were computed, when available. The present dataset consists of an excel file with five spreadsheets, including data from 49 publications: 1. Legend: Explanation of the types of data/information included in the other four spreadsheets, including a description of the variables in each. 2. Sites&species: Includes data on the earthworm family and species found at each locality/country, its origin (native or exotic), and the management practices associated with the collection site. Each collection is associated with its bibliographic reference. 3. Bio&geographic info: Summary calculations including a full list of species encountered (≥104 spp.), their origin (native, exotic), any observations of relevance, total number of records and % occurrences for each earthworm species and family, and the species (total, natives, exotics) richness per country and management practices. 4. Richness: Data on the number of species (total, natives, exotics) at each locality (cf. Table 4 of publication cited below). 5. References: Full bibliographic information of each publication used in the dataset. This dataset is associated with a Zookeys article of Cremonesi et al. (2020): Earthworm species in Musa spp. plantations in Brazil and worldwide. This publication discusses the main results of the data in the spreadsheets, regarding species richness (native, exotic, total) per crop (plantain, banana), country, and management practices.
DOI: 10.5281/zenodo.6373179
title: IDSEM Dataset

description: This database contains electricity bills related to energy consumption in Spanish households. The contents of bills are automatically generated following some statistics from official bodies. The main purpose of the dataset is for training machine learning algorithms, especially for designing new methods for extracting information from invoices. There are 86 different labels, which are related to several topics, such as the customer and marketer, the contract, energy consumption, or billing. The total number of invoices is 75.000. The files are organized in two directories: a training directory, with six subdirectories, each containing 5.000 invoices in PDF format and the corresponding labels in JSON files; and a test directory, with nine subdirectories, each containing 5.000 invoices in PDF format. There are two main zip files that contain the test and training sets (test.zip and training.zip). In addition, we have included separate files with a subset of the directories in each set, so it can be downloaded by parts. There is also a reduced version of the dataset with 100 invoices per directory, which is interesting for users who want to preview the content of the dataset before downloading it. IDSEM is an acronym for "an Invoices Database for the Spanish Electricity Market". More information can be found at https://idsem.ulpgc.es/ and in the following article: [1] Javier Sánchez, Agustín Salgado, Alejandro García, and Nelson Monzón, "IDSEM, an invoices database of the Spanish electricity market", Sci. Data, (2022).
DOI: 10.5281/zenodo.7064405
title: Seismic noise interferometry and Distributed Acoustic Sensing (DAS): Inverting for the firn layer S-velocity structure on Rutford Ice Stream, Antarctica

description: This dataset contains files including continuous DAS and geophone data and a refracted P wave travel time data collected on Rutford Ice Stream, Antarctica. The seismic data is used to perform seismic noise interferometry. The travel time data is used to perform refraction inversion to get the P wave velocity profile. <br> 1. 7 hours of continuous DAS data (100 Hz sampling): 2020-01-14T00:00:19.598000Zoffset_****.mseed, with offset referring to the distance from the DAS channel to the interrogator. 2. Corresponding 7 hours of vertical component continuous geophone (A000, located at DAS channel offset 570 m) data. 3. Refraction P wave travel time from a geophone array refraction survey.
DOI: 10.5281/zenodo.7249512
title: CMB heat flux PCA results

description: Results of the CMB heat flux PCA from the Coltice et al. (2019) mantle convection model in the numpy (.npy) format. The PCA is computed on the snapshots of the simulations between 300 Myr and 1131 Myr in the simulation time. -avg_pattern.npy: Spherical harmonic decomposition of the CMB heat flux average pattern -patterns.npy: Spherical harmonic decomposition of the PCA components patterns -sing_val.npy: Singular value of the PCA components -weights.npy: Time dependent weights of the PCA components
DOI: 10.5286/isis.e.rb1720342
title: Structural role of magnesium in aluminosilicate glass

description: A combination of high real-space resolution neutron diffraction and 27Al and 29Si NMR experiments will be used to measure the structure of glassy MgO-Al2O3-SiO2. A focus will be on compositions along cuts across the so-called charge-balance line in the ternary phase diagram, where the MgO:Al2O3 ratio along a cut is varied at constant SiO2 content. The strategy is aimed at maximising the change to the Mg-O coordination number which can vary from 4 to 6, i.e., Mg has an ability to transform its identity from a network former to a network modifier. The results will give a complete picture for the inter-dependence of the local Mg, Si and Al coordination environments for a model system that is commonly encountered in glass engineering and in the earth sciences.
DOI: 10.3886/e182584v1
title: Data and replication files for "The last Yugoslavs: Ethnic diversity and national identity"

description: This file contains all the data used in "The last Yugoslavs: Ethnic diversity and national identity". It also contains the Stata do files that can be used to generate the tables and figures of the paper.