cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3581894
title: Residential Power Traces for Five Houses: the iHomeLab RAPT Dataset

description: <strong>Intro</strong><br> Datasets with measurements of both solar electricity production and domestic electricity consumption separated into the major loads are interesting for research focussing on (i) local optimization of solar energy consumption and (ii) Non-Intrusive Load Monitoring. To this end, we publish the iHomeLab RAPT dataset consisting of electrical power traces from five houses in the greater Lucerne region in Switzerland spanning a period from 1.5 up to 3.5 years with a sampling frequency of five minutes. For each house the electrical energy consumption of the aggregated household and specific appliances such as dishwasher, washing machine, tumble dryer, hot water boiler, or heating pump were metered. Additionally, the data includes electric production data from PV panels for all five houses, and battery power flow measurement data from two houses. Thermal metadata is also provided for the three houses with a heating pump. <strong>Data Description</strong><br> The data is release in two parts: <br> - a preprocessed version, <br> - measured sensor data is collected in files per house <br> - with a consistent sampling frequency of 5 minutes <br> - the raw data <br> - one file per sensor, all data from one house is contained within one folder <br> - with the original sampling frequency A detailed description of the dataset, corresponding metadata and the measurement setup can be found in <br> <em>P. Huber, M. Ott, M. Friedli, A. Rumsch, A. Paice, "Residential Power Traces for Five Houses: the iHomeLab RAPT Dataset".</em><br> Data 2020, 5, 17, https://doi.org/10.3390/data5010017. <strong>Code </strong><br> The code to generate the preprocessed version of the dataset can be downloaded alongside the dataset. Check on GitHub if an updated versions is available.
DOI: 10.17632/sk6m66x4tj.2
title: Potential of selected cuban biomasses for thermochemical conversion into bioenergy

description: Data on the rapid, elemental and calorimetric analysis, such as ash melting behaviour and thermogravimetric profiles of Cuban biomass feedstocks are shown in order to assess their potential for bioenergy production. The studied biomasses are Jatropha curcas husk, Moringa oleifera husk, Dichrostachys cinerea, Ulva lactuca, Chaetomorpha gracilis and Sargassum fluitants. Seed, kernels or stems and algae were characterized by weight. Sample preparation and tests were established according to referenced German standards with particle size &lt; 75 mm. Also thermogravimetric analyses have been performed at 10ºC/min in Argon atmosphere. Data in the paper are shown in Tables and Graphs. The data represent valuable information for further implementation of gasification or pyrolysis processes to using these biomasses.
DOI: 10.15129/e5d22969-77d4-46a8-83b8-818b50d8ff45
title: Data for: "A micro-XRT Image Analysis and Machine Learning Methodology for the Characterisation of Multi-Particulate Capsule Formulations"

description: This is a collection of data and methodologies used in the following publication. Public access to the dataset is currently under embargo until 01/01/2022, as data forms part of ongoing research. Expressions of interest can be made via the contact email: researchdataproject@strath.ac.uk. Further details on the data can be found in the README file provided. Title: A micro-XRT Image Analysis and Machine Learning Methodology for the Characterisation of Multi-Particulate Capsule Formulations Authors: Frederik J. S. Doerr and Alastair J. Florence Journal: International Journal of Pharmaceutics Accepted Date: 18/11/2019 DOI: https://doi.org/10.1016/j.ijpx.2020.100041 Abstract: The application of X-ray microtomography for quantitative structural analysis of pharmaceutical multi-particulate systems was demonstrated for commercial capsules, each containing approximately 300 formulated ibuprofen pellets. The implementation of a marker-supported watershed transformation enabled the reliable segmentation of the pellet population for the 3D analysis of individual pellets. Isolated translation- and rotation-invariant object cross-sections expanded the applicability to additional 2D image analysis techniques. The full structural characterisation gave access to over 200 features quantifying aspects of the pellets' size, shape, porosity, surface and orientation. The extracted features were assessed using a ReliefF feature selection method and a supervised Support Vector Machine learning algorithm to build a model for the detection of broken pellets within each capsule. Data of three features from distinct structure-related categories were used to build classification models with an accuracy of more than 99.55% and a minimum precision of 86.20% validated with a test dataset of 886 pellets. This approach to extract quantitative information on particle quality attributes combined with advanced data analysis strategies has clear potential to directly inform manufacturing processes, accelerating development and optimisation.
DOI: 10.17632/2hskypf8ch.1
title: Data on compressibility of NBR samples with various cross-linking degree and zinc oxide content immersed in gasoline and oil

description: DSC analysis of NBR samples K1, K2 and K3 (Operator: Nikolay Tikhonov)
DOI: 10.5281/zenodo.3582912
title: Diffusion of nanoparticles in the cell cytoplasm

description: In Etoc 2018, we presented the diffusive behavior inside the cytosol of living cells for different kind of nanometric sized nanoparticles. We showed that the passivation of the particles is the main parameter that regulate the diffusion properties of particles smaller than 70nm not only in Hela cells but also in RPE1 and MSC cells. Here we open the data for the MSC cells. Experiments consists in the recording of small subregions of the cytoplasm located at the periphery of the cell. A README file is included in the archive with the recording parameters. DATA were recorded by Elie BALLOUL Scripts were written by Mathieu COPPEY, Fred ETOC and modified by Elie BALLOUL.(to use polyfit instead of ezyfit) We also make available the scripts that we used to generate the maps. Some functions were found in Matlab Central and their corresponding license is in their respective folders.
description: {"references": ["Etoc F, Balloul E, Vicario C, et al. Non-specific interactions govern cytosolic diffusion of nanosized objects in mammalian cells. Nature Materials. 2018 Aug;17(8):740-746. DOI: 10.1038/s41563-018-0120-7."]}
DOI: 10.5281/zenodo.3582913
title: Diffusion of nanoparticles in the cell cytoplasm

description: In Etoc 2018, we presented the diffusive behavior inside the cytosol of living cells for different kind of nanometric sized nanoparticles. We showed that the passivation of the particles is the main parameter that regulate the diffusion properties of particles smaller than 70nm not only in Hela cells but also in RPE1 and MSC cells. Here we open the data for the MSC cells. Experiments consists in the recording of small subregions of the cytoplasm located at the periphery of the cell. A README file is included in the archive with the recording parameters. DATA were recorded by Elie BALLOUL Scripts were written by Mathieu COPPEY, Fred ETOC and modified by Elie BALLOUL.(to use polyfit instead of ezyfit) We also make available the scripts that we used to generate the maps. Some functions were found in Matlab Central and their corresponding license is in their respective folders.
description: {"references": ["Etoc F, Balloul E, Vicario C, et al. Non-specific interactions govern cytosolic diffusion of nanosized objects in mammalian cells. Nature Materials. 2018 Aug;17(8):740-746. DOI: 10.1038/s41563-018-0120-7."]}
DOI: 10.5281/zenodo.3583238
title: Data associated with Automated Biomedical Text Classification with Research Domain Criteria

description: Each file contains a set of abstracts for a given RDoC construct. Each file is named after one RDoC category. In each file, each line represents one PubMed abstract that belong to the RDoC category. Each line has a PubMeD ID and an abstract text separated by a tab. The dataset was created on August 2018. Please cite: M. Anani and I. Kahanda, Automated Biomedical Text Classification with Research Domain Criteria, International Conference on Bioinformatics and Computational Biology, Las Vegas, NV, 2018.
DOI: 10.5281/zenodo.3583239
title: Data associated with Automated Biomedical Text Classification with Research Domain Criteria

description: Each file contains a set of abstracts for a given RDoC construct. Each file is named after one RDoC category. In each file, each line represents one PubMed abstract that belong to the RDoC category. Each line has a PubMeD ID and an abstract text separated by a tab. The dataset was created on August 2018. Please cite: M. Anani and I. Kahanda, Automated Biomedical Text Classification with Research Domain Criteria, International Conference on Bioinformatics and Computational Biology, Las Vegas, NV, 2018.
DOI: 10.5281/zenodo.3583245
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 8) PR and supporting texts

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 8) PR and supporting texts
DOI: 10.5281/zenodo.3583246
title: Triple Gem: Materials assembled for an exhibition in 2010 (part 8) PR and supporting texts

description: Triple Gem: Materials assembled for an exhibition in 2010 (part 8) PR and supporting texts
DOI: 10.17632/p4wt7jc9dw.1
title: Evolutionary history, genomic adaptation to toxic diet and extinction of the Carolina parakeet

description: As the only endemic Neotropical parrot to have recently lived in the northern hemisphere, the Carolina parakeet (Conuropsis carolinensis) was an iconic North American bird. The last surviving specimen died in the Cincinnati Zoo in 1918 (Elphick et al., 2010). The cause of its extinction remains contentious: besides excessive mortality associated to habitat destruction and active hunting, their survival could have been negatively affected by its range having become increasingly patchy (Burgio et al., 2017), or by the exposure to poultry pathogens (Snyder, 2004; Snyder and Russel, 2002). In addition, the Carolina parakeet showed a predilection for cockleburs, an herbaceous plant that contains a powerful toxin, carboxyatractyloside, or CAT (Stuart et al., 1981), which did not seem to affect them but made the birds notoriously toxic to most predators (Snyder, 2004). To explore the demographic history of this bird we generated the complete genomic sequence of a preserved specimen held in a private collection in Spain, as well as of a close extant relative, Aratinga solstitialis. We identified two non-synonymous genetic changes in two highly conserved proteins known to interact with CAT that could underlie a specific dietary adaptation to this toxin. Our genomic analyses did not reveal evidence of a dramatic past demographic decline in the Carolina parakeet; also, its genome did not exhibit the long runs of homozygosity that are signals of recent inbreeding and are typically found in endangered species. As such, our results suggest its extinction was an abrupt process, and thus likely solely attributable to human causes.
DOI: 10.5066/p90q8bcp
title: Temporal and Spatio-Temporal High-Resolution Satellite Data for the Validation of a Landsat Time-Series of Fractional Component Cover Across Western United States (U.S.) Rangelands

description: Western U.S. rangelands have been quantified as six fractional cover (0-100%) components over the Landsat archive (1985-2018) at 30-m resolution, termed the "Back-in-Time" (BIT) dataset. Robust validation through space and time is needed to quantify product accuracy. We leverage field data observed concurrently with HRS imagery over multiple years and locations in the Western U.S. to dramatically expand the spatial extent and sample size of validation analysis relative to a direct comparison to field observations and to previous work. We compare HRS and BIT data in the corresponding space and time. Our objectives were to evaluate the temporal and spatio-temporal relationships between HRS and BIT data, and to compare their response to spatio-temporal variation in climate. We hypothesize that strong temporal and spatio-temporal relationships will exist between HRS and BIT data and that they will exhibit similar climate response. We evaluated a total of 42 HRS sites across the western U.S. with 32 sites in Wyoming, and 5 sites each in Nevada and Montana. HRS sites span a broad range of vegetation, biophysical, climatic, and disturbance regimes. Our HRS sites were strategically located to collectively capture the range of biophysical conditions within a region. Field data were used to train 2-m predictions of fractional component cover at each HRS site and year. The 2-m predictions were degraded to 30-m, and some were used to train regional Landsat-scale, 30-m, "base" maps of fractional component cover representing circa 2016 conditions. A Landsat-imagery time-series spanning 1985-2018, excluding 2012, was analyzed for change through time. Pixels and times identified as changed from the base were trained using the base fractional component cover from the pixels identified as unchanged. Changed pixels were labeled with the updated predictions, while the base was maintained in the unchanged pixels. The resulting BIT suite includes the fractional cover of the six components described above for 1985-2018. We compare the two datasets, HRS and BIT, in space and time. Two tabular data presented here correspond to a temporal and spatio-temporal validation of the BIT data. First, the temporal data are HRS and BIT component cover and climate variable means by site by year. Second, the spatio-temporal data are HRS and BIT component cover and associated climate variables at individual pixels in a site-year.
DOI: 10.5066/p9j7fjqu
title: LAS digital data files for the U.S.Geological Survey Alcova AR-1-13 core hole, Natrona County, Wyoming

description: In 2013 the U.S. Geological Survey (USGS) drilled and logged a continuous core located on the northeast flank of the Alcova anticline in the southeastern part of the Wind River Basin, Wyoming to evaluate the source rock potential of the Lower and lowermost Upper Cretaceous marine shales (fig. 1). The well, named the Alcova Reservoir AR-1-13, was spud in the lower part of the Frontier Formation and ended in the upper part of the Cloverly Formation, and recovered core between 40.5 feet (ft) and 623 ft (figs. 1, 2). After coring was completed the USGS recorded geophysical data from the well bore, with digital data collected to a depth of 622 ft. Data include natural gamma, resistivity, conductivity, density, sonic, and caliper. The digital data is presented here in LAS (Log ASCII Standard) format.
DOI: 10.14469/hpc/6498
title: L-malic-acid9-O ORD

description: Gaussian Calculation
DOI: 10.5281/zenodo.3583251
title: 仏と悟り ボードガヤー大菩提寺、金剛宝座出土の宝物 The Buddha and Enlightenment : Precious Treasures from the Diamond Throne

description: 仏と悟り<br> ボードガヤー大菩提寺、金剛宝座出土の宝物 The Buddha and Enlightenment : Precious Treasures from the Diamond Throne
DOI: 10.5281/zenodo.3583252
title: 仏と悟り ボードガヤー大菩提寺、金剛宝座出土の宝物 The Buddha and Enlightenment : Precious Treasures from the Diamond Throne

description: 仏と悟り<br> ボードガヤー大菩提寺、金剛宝座出土の宝物 The Buddha and Enlightenment : Precious Treasures from the Diamond Throne
DOI: 10.14469/hpc/6499
title: L-malic-acid16-O ORD

description: Gaussian Calculation
DOI: 10.17632/vwzpdrxhhz.1
title: Data for: Geothermal spas as a local development factor, the case of Poland.

description: The data provides the explanation to the process of building a socioeconomic development model for a municipality in Poland. This data set explains the steps taken in order to reach to an indicator that interprets a local socioeconomic development as well as it provides a hint of methodology selection. We set the hypothesis that the introduction of a geothermal spa accelerates the socioeconomic development of the municipality in which it is established. This assumption is to be verified by socioeconomic development empirical observations of selected locations in Poland that have geothermal water parks in years 1995-2015. Further statistical procedures (Principal Component Analysis, switch regression model) help to verify the research assumption. A constructed indicator of local socioeconomic development undergoes observation together with the geothermal water parks parameters we develop as well. As a result we attempt to confirm the main hypothesis of our research. The data that serves to build the socioeconomic development model of a municipality is obtained from one source i.e. Central Statistical Office in Poland.
DOI: 10.14469/hpc/6500
title: L-malic-acid10-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6501
title: L-malic-acid8-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6502
title: L-malic-acid7-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6503
title: L-malic-acid6-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6504
title: L-malic-acid5-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6505
title: L-malic-acid4-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6506
title: L-malic-acid3-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6507
title: L-malic-acid2-O ORD

description: Gaussian Calculation
DOI: 10.14469/hpc/6508
title: L-malic-acid1-O ORD

description: Gaussian Calculation
DOI: 10.5281/zenodo.3583256
title: The Art of the Temple (Part 1: Introductory chapters)

description: The Art of the Temple (Part 1: Introductory chapters)
DOI: 10.17632/k6g7pjdnk7.1
title: Data for "Manufacturing process sequence design under consideration of ecological and economic impacts"

description: The dataset contains supplementary data for the contribution Manufacturing process sequence design under consideration of ecological and economic impacts intended for publication in a special issue of PROCEDIA CIRP of the 30th CIRP Design conference. The dataset is the basis of the case study presented in the contribution. It contains the data used to calculate the costs and monetary value of the manufacturing process sequence analyzed in the case study. The manufacturing process sequence consisted of the four unit processes grinding, drag finishing, PVD coating, peripheral milling. The monetary value was calculated by using EPS 2015d and Lime3. Costs were calculated based on the material flow cost accounting according to ISO 14051.
DOI: 10.5281/zenodo.3583255
title: The Art of the Temple (Part 1: Introductory chapters)

description: The Art of the Temple (Part 1: Introductory chapters)
DOI: 10.17632/xwywvb2psm.1
title: (3+1)-dimensional dissipative relativistic fluid dynamics at non-zero net baryon density

description: Heavy-ion collisions at center-of-mass energies between 1 and 100 GeV/nucleon are essential to understand the phase diagram of QCD and search for its critical point. At these energies the net baryon density of the system can be high, and simulating its evolution becomes an indispensable part of theoretical modeling. We here present the (3+1)-dimensional diffusive relativistic hydrodynamic code BEShydro which solves the equations of motion of second-order Denicol–Niemi–Molnar–Rischke (DNMR) theory, including bulk and shear viscous currents and baryon diffusion currents. BEShydro features a modular structure that allows to easily turn on and off baryon evolution and different dissipative effects and thus to study their physical effects on the dynamical evolution individually. An extensive set of test protocols for the code, including several novel tests of the precision of baryon transport that can also be used to test other such codes, is documented here and supplied as a permanent part of the code package.
DOI: 10.5281/zenodo.3583274
title: The Art of the Temple (Part 3: Hinduism)

description: The Art of the Temple (Part 3: Hinduism)
DOI: 10.5281/zenodo.3583275
title: The Art of the Temple (Part 3: Hinduism)

description: The Art of the Temple (Part 3: Hinduism)
DOI: 10.7910/dvn/qvjzo8
title: Anthromes 12K post 2000 CE

description: GIS data for the post 2000 CE global maps of Anthromes 12K, which is now in in preparation for publication. This dataset is a zip file composed of a set of 16 zip files containing 5 arc minute ArcInfo ASCII GRIDs in separate zip files for each year from 2000 CE to 2015 CE (16 zip files) The Anthromes v2.1 classification system of these data is based on the Anthromes v2.0 classification described in Ellis et al. 2010. The Anthromes 12K dataset was produced by classifying HYDE 3.2 data for population and land use, which can be downloaded here: https://doi.org/10.17026/dans-25g-gez3 Anthrome 12K (v2.1) Legend GRID Values = Anthrome classes ------------------------------- 11: Urban 12: Mixed settlements 21: Rice villages 22: Irrigated villages 23: Rainfed villages 24: Pastoral villages 31: Residential irrigated croplands 32: Residential rainfed croplands 33: Populated croplands 34: Remote croplands 41: Residential rangelands 42: Populated rangelands 43: Remote rangelands 51: Residential woodlands 52: Populated woodlands 53: Remote woodlands 54: Inhabited treeless and barren lands 61: Wild woodlands 62: Wild treeless and barren lands 63: Ice, uninhabited _______________________________
DOI: 10.7910/dvn/qvjzo8/hih6d6
title: anthromes_12K_post_2000.zip

description: Anthromes 12K post 2000 CE dataset
DOI: 10.5519/qd.amnax72t
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4485005 records)
DOI: 10.14272/adrcremwpufgdu-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (4-(1,3-benzothiazol-2-yl)-N,N-diethylaniline)
title: InChI=1S/C17H18N2S/c1-3-19(4-2)14-11-9-13(10-12-14)17-18-15-7-5-6-8-16(15)20-17/h5-12H,3-4H2,1-2H3

description: dataset for mass spectrometry (MS) EI (m/z, 70 eV, 80 °C): 282 (34) [M+], 267 (42), 231 (12), 181 (21), 169 (11), 162 (100), 131 (28), 124 (22), 118 (27), 80 (14), 69 (33).
DOI: 10.14272/adrcremwpufgdu-uhfffaoysa-n/chmo0000470.1
title: mass spectrometry (MS) (4-(1,3-benzothiazol-2-yl)-N,N-diethylaniline)
title: InChI=1S/C17H18N2S/c1-3-19(4-2)14-11-9-13(10-12-14)17-18-15-7-5-6-8-16(15)20-17/h5-12H,3-4H2,1-2H3

description: dataset for mass spectrometry (MS) HRMS (C17H18N2S): Calcd 282.1185, Found 282.1184.
DOI: 10.14272/adrcremwpufgdu-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (4-(1,3-benzothiazol-2-yl)-N,N-diethylaniline)
title: InChI=1S/C17H18N2S/c1-3-19(4-2)14-11-9-13(10-12-14)17-18-15-7-5-6-8-16(15)20-17/h5-12H,3-4H2,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (125 MHz, CDCl3, ppm) δ = 168.7, 154.3, 149.6, 134.3, 129.0 (2C), 125.8, 123.9, 122.0, 121.2, 120.3, 110.9 (2C), 44.3 (2C), 12.4 (2C). The spectrum contains ca. 10% impurities (estimated from 1H NMR data).
DOI: 10.14272/adrcremwpufgdu-uhfffaoysa-n.1
title: 4-(1,3-benzothiazol-2-yl)-N,N-diethylaniline
title: InChI=1S/C17H18N2S/c1-3-19(4-2)14-11-9-13(10-12-14)17-18-15-7-5-6-8-16(15)20-17/h5-12H,3-4H2,1-2H3

description: This dataset contains experimental data from a sample (4-(1,3-benzothiazol-2-yl)-N,N-diethylaniline, InChI=1S/C17H18N2S/c1-3-19(4-2)14-11-9-13(10-12-14)17-18-15-7-5-6-8-16(15)20-17/h5-12H,3-4H2,1-2H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS) mass spectrometry (MS)