cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v2c93n28rj.2
title: Technical and economic data of renewable heat supply systems for different heat sub-sectors.

description: German heat supply market was differentiated into 19 heat sub-sectors with a total number of 49 different heat supply systems with a focus on renewable options including biomass utilization. The data set was created as input data for a numerical modelling of the heat supply between 2015 and 2050 with a special focus on bioenergy utilization and reduction of GHG emissions in the heating sector. For more information about the objectives, the method and results of the modelling see Matthias Jordan, Volker Lenz, Markus Millinger, Katja Oehmichen, Daniela Thrän: Future competitive bioenergy technologies in the German heat sector: Findings from an economic optimization approach. Each heat sub-sector is representing a cluster of buildings or heat utilizations with equal heat demand according to temperature level, nominal power demand, relation between domestic hot water and heating of the building. 14 of the 19 heat sub-sectors deal with the heat provision for buildings. Here, the input data about the standardized average buildings are very detailed and the described heat supply systems are quite detailed and specified. All measures of a centralized heat supply via heating grids are summed up in only one heat sub-sector. Therefore, the description of the market is only very general and the compared technological systems are not very detailed and comparable to real solutions. This sub-market is only used to calculate an overall estimation of the uptake of biomass in this market. Furthermore, the four industrial heat sub-sectors are strongly generalized and the described technological systems are only some possible examples of the variety of possible concepts which allow a rough estimation of the biomass allocation in these markets. For all heat sub-sectors at least one fossil representative technological concept is integrated – in most cases based on gas. This technology is also representing all the other fossil heat supply concepts, i.e. no oil boilers are described. In addition, at least one renewable technology not using biomass is integrated (e.g. heat pump). However, the main focus is on biomass solutions in different systems as full supply technology or as combined solution with other renewables. All systems were pre-selected by experience and pre-calculations according to the sub-sector to avoid too long calculation times for the model. All data sets describe annual efficiencies, live time expectations, investment and installation costs, power demand as well as increasing efficiency and decreasing costs over time. PV systems are sized according to the annual power demand of the utilized heat pumps. According to the total power demand of the building including the heating system a factor is calculated describing the part of the directly used power production. The rest is fed into the grid and afterwards taken from the grid according to the demand of the heat pump. Supplementary material is added in Version 2.
DOI: 10.5067/modis/mod03.006
title: MOD03 MODIS/Terra Geolocation Fields 5-Min L1A Swath 1km
DOI: 10.5067/modis/myd021km.006
title: MYD021KM MODIS/Aqua Calibrated Radiances 5-Min L1B Swath 1km
DOI: 10.5067/modis/myd03.006
title: MYD03 MODIS/Aqua Geolocation Fields 5-Min L1A Swath 1km
DOI: 10.5067/smp30-2socs
title: RSS SMAP Level 2 Sea Surface Salinity V3.0 40km Validated Dataset
DOI: 10.5281/zenodo.4062665
title: Empirical shapes for the publication "Modifications of the K-Profile parameterization with nondiffusive fluxes for wave effects"

description: This dataset contains data for the reproduction of the empirical shape functions G_l and g_s introduced in the publication "Modifications of the K-Profile parameterization with nondiffusive fluxes for wave effects".
DOI: 10.1184/rdl/1502013
title: Aggregated Cold Study Data Set - Studies 1 through 5
DOI: 10.15468/dl.62qcmk
title: Occurrence Download

description: A dataset containing 10560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Emys orbicularis (Linnaeus, 1758)"
 ]
}

 The dataset includes 10560 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001092-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/ess10e03_0
title: ESS10 integrated file, edition 3.0
DOI: 10.21227/hdtd-5j88
title: Brats MICCAI Brain tumor dataset

description: BraTS has always been focusing on the evaluation of state-of-the-art methods for the segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) scans. BraTS 2019 utilizes multi-institutional pre-operative MRI scans and focuses on the segmentation of intrinsically heterogeneous (in appearance, shape, and histology) brain tumors, namely gliomas. Furthemore, to pinpoint the clinical relevance of this segmentation task, BraTS’19 also focuses on the prediction of patient overall survival, via integrative analyses of radiomic features and machine learning algorithms. Finally, BraTS'19 intends to experimentally evaluate the uncertainty in tumor segmentations.
DOI: 10.5066/p9x7spik
title: Geochemical characterization, acid neutralization potential, and phosphate removal capacity of modern and legacy iron and steel slag from the Chicago-Gary area of Illinois and Indiana, USA

description: Steelmaking slag from near Chicago, USA, may be a viable option for treating phosphate-rich or acidic waters. Iron and steel slags from legacy and modern operations in the Chicago-Gary area of Illinois and Indiana, USA, are predominantly composed of Ca, Fe, and Si, with generally lesser amounts of Al, Mg, and Mn. Simulated weathering tests suggest that potentially deleterious elements such as Cr and Mn, present in significant concentrations in some samples, are generally hosted in insoluble phases making use in water treatment applications possible. However, generation of high pH and alkaline solutions may be an issue. Batch and flow-through column experiments document effective removal of phosphate from synthetic solutions for nearly all slag samples, suggesting it may be a useful material in treating nutrient-rich waters. The air-cooled fine fractions (&lt; 10 mm) of modern slag were most effective at removing phosphate; other types, including modern granulated, modern air-cooled coarse fractions (&gt; 10 mm), and legacy slag were effective, but to a lesser degree. An additional water treatment application is the use of slag to neutralize acidic waters. Most slag samples are extremely alkaline and have high net neutralization potentials (NNP) (400 ? 830 kg CaCO3/t), with the highest approximately equivalent to 80% the neutralization potential of calcite. The phosphate removal capacity and NNP correlate positively with total Ca content and the dissolution of Ca minerals facilitates secondary Ca phosphate formation and consumes acid during hydrolysis. Utilizing locally available slag to treat waste or agricultural waters in this region may be a higher value alternative than use in construction, potentially offsetting restoration costs to degraded legacy areas and decreasing steel manufacturers? current waste footprint. This data release provides information about these iron and steel slags and includes the following: bulk chemistry, acid-base accounting, particle size analysis, synthetic precipitation leaching protocol (SPLP) results, and batch and column phosphate removal experiments. The data presented here are summarized and interpreted in the following article: Piatak, N.M., Seal, R.R. II, Hoppe, D.A., Green, C.J., and Buszka, P.M., 2019, Geochemical Characterization of Iron and Steel Slag and Its Potential to Remove Phosphate and Neutralize Acid: Minerals, v. 9, no. 8, 468. https://doi.org/10.3390/min9080468
DOI: 10.5067/4sdcjyk8p9qu
title: MERRA-2 tavgU_2d_rad_Nx: 2d,Diurnal,Time-Averaged,Single-Level,Assimilation,Radiation Diagnostics V5.12.4
DOI: 10.5067/smp3a-3spcs
title: RSS SMAP Level 3 Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V3.0 70km Validated Dataset
DOI: 10.5067/smp42-3tpcs
title: JPL SMAP Level 3 CAP Sea Surface Salinity Standard Mapped Image 8-Day Running Mean V4.2 Validated Dataset
DOI: 10.5067/temsc-ocl05
title: GRACE MASCON Ocean and Hydrology Equivalent Water Heights JPL RL05M.1
DOI: 10.5281/zenodo.10680097
title: Database for machine learning of hydrogen storage materials properties

description: Database for machine learning of hydrogen storage materials properties


Matthew Witmana, Mark Allendorfa, Vitalie Stavilaa


aSandia National Laboratories, Livermore, CA


 


Description


This ML-HydPARK dataset provides a csv file of metal hydride compositions, capacities, and thermodynamic values that can be used as target properties for building, training, and testing machine learning models. It has been parsed and cleaned from the DOE’s original publicly available HydPARK database according to the procedure in [1] to make it more suitable for immediate use with data-driven models. Generally, this removed duplicate entries, removed entries missing critical data, and attempted to fix various entries with obvious errors in the data. It is continuously updated under version control as new metal alloy hydrides are published in the open literature. Most entries contain data on the enthalpy and entropy of the hydriding reaction, as well the maximum hydrogen capacity, for which compositional machine learning models can be trained [1,2].


 


Acknowledgements


The authors gratefully acknowledge research support from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Fuel Cell Technologies Office through the Hydrogen Storage Materials Advanced Research Consortium (HyMARC). This work was supported by the Laboratory Directed Research and Development (LDRD) program at Sandia National Laboratories. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy
or the United States Government.


 


References



	
Witman, M.; Ling, S.; Grant, D. M.; Walker, G. S.; Agarwal, S.; Stavila, V.; Allendorf, M. D. Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning. J. Phys. Chem. Lett. 2020, 11, 40–47.
	
Witman, M.; Ek, G.; Ling, S.; Chames, J.; Agarwal, S.; Wong, J.; Allendorf, M. D.; Sahlberg, M.; Stavila, V. Data-Driven Discovery and Synthesis of High Entropy Alloy Hydrides with Targeted Thermodynamic Stability. Chem. Mater. 2021, 33, 4067–4076.



 


Contact


Please email mwitman@sandia.gov , mdallen@sandia.gov, or vnstavi@sandia.gov for questions or to request addition of recent data from the literature to this dataset.
DOI: 10.5281/zenodo.46263
title: Hammlet - Supplemental Material

description: HaMMLET is a novel type of Bayesian Hidden Markov Model, using dynamically adaptive wavelet compression for improved speedup and convergence behaviour of Forward-Backward Gibbs sampling.

This data set contains supplemental material for HaMMLET's initial publication.
DOI: 10.5284/1000026
title: Aggregate Landscapes of Derbyshire and the Peak District

description: The Aggregate Landscapes of Derbyshire and the Peak District Project is funded by Defra through the Aggregates Levy Sustainability Fund (ALSF) and delivered by English Heritage. The project has been undertaken by Derbyshire County Council (DCC), the Peak District National Park Authority (PDNPA) and Archaeological Research Services Ltd (ARS Ltd) with DCC as the lead partner. The HER Enhancement Project is concerned with enhancing and upgrading the historic environment records for the aggregate producing areas of Derbyshire and the Peak District. The HER enhancement component of the project was undertaken by a Project Officer from ARS Ltd, based at Derbyshire County Council. The project's start date was 14th May with enhancement work beginning on the 11th June 2007 and was completed by the 7th March 2008. The project has checked, corrected, refined and validated historic environment records which vary in date and type from Upper Palaeolithic findspots to 20th century lead mining remains. 2977 records from 57 parishes within the Peak District National Park were enhanced.
DOI: 10.6084/m9.figshare.2057802.v1
title: Cooper et al 2016 MEE_data

description: Data for the paper "Shedding light on the "dark side" of phylogenetic comparative methods" published in Methods in Ecology and Evolution (citation information to follow). All R code used to produce Figures in the paper can be found at https://github.com/nhcooper123/pcm-darkside
DOI: 10.6084/m9.figshare.25721376
title: Supplementary Material for: Signaling ligand heterogeneities in the peduncle complex of the cephalopod mollusc Octopus bimaculoides

description: Introduction: The octopus peduncle complex is an agglomeration of neural structures with remarkably diverse functional roles. The complex rests on the optic tract, between the optic lobe and the central brain, and comprises the peduncle lobe proper, the olfactory lobe, and the optic gland. The peduncle lobe regulates visuomotor behaviors, the optic glands control sexual maturation and maternal death, and the olfactory lobe is thought to receive input from the olfactory organ. Recent transcriptomic and metabolomic studies have identified candidate peptide and steroid ligands in the Octopus bimaculoides optic gland. Methods: With gene expression for these ligands and their biosynthetic enzymes, we show that optic gland neurochemistry extends beyond the traditional optic gland secretory tissue and into lobular territories. Results: A key finding is that the classically defined olfactory lobe is itself a heterogenous territory and includes steroidogenic territories that overlap with cells expressing molluscan neuropeptides and the synthetic enzyme dopamine beta-hydroxylase. Conclusion: Our study reveals the neurochemical landscape of the octopus peduncle complex, highlighting the unexpected overlap between traditionally defined regions.
DOI: 10.6084/m9.figshare.951966
title: Developing an effective market for Open Access Article Processing Charges

description: Data set to support the Bjork and Solomon study "Developing an effective market for OA APC"
DOI: 10.7289/v5sb43pd
title: NOAA Climate Data Record (CDR) of AVHRR Daily and Monthly Aerosol Optical Thickness over Global Oceans, Version 2.0 (Version Superseded)

description: *Note: This dataset version has been superseded by a newer version. It is highly recommended that users access the current version. Users should only use this version for special cases, such as reproducing studies that used this version.* This NOAA Climate Data Record (CDR) of Aerosol Optical Thickness (AOT) is derived from data taken over global oceans from the PATMOS-x AVHRR level-2b channel 1 (0.63 micron) orbital clear-sky radiance. The retrieval is performed for selected spatial (8-km) and temporal (1 time per day) resolution in cloud free condition during daytime over global oceans. The AVHRR AOT CDR version 2 extends from 1981 to 2009 and includes both daily and monthly data in an equal angle grid (0.1x0.1 degree). Version 2 has improved cloud screening and data processing from version 1. Due to the relatively large uncertainties associated with surface reflectance over water glint area and land surface as well as limited AVHRR retrieval channels, the current algorithm only performs retrieval over non-glint water surface (specifically at the anti-solar side of the orbit and viewing angle is larger than 40 degree away from the specular ray).
DOI: 10.13020/d6g59w
title: Home range overlap indices implemented using kernel density estimators with plug-in smoothing parameters and Program R.

description: This collection contains R code to implement the home range overlap indices evaluated by Fieberg and Kochanny (2005). These indices have been incorporated into the adehabitat package of Program R. However, the adehabitat package does not currently (as of April 2014) allow calculation of home ranges using the 'plug-in' method for choosing smoothing parameters when estimating home ranges using kernel density estimates. In addition, the code here allows one to use two separate smoothing parameters rather than a single parameter (as in the current version of adehabitat). An illustrative example is included that makes use wild boar location data contained in the adehabitat package. For references, see README.txt.
description: These files contain computer code that was reviewed in Fieberg & Kochanny (2005). There are five files in this data set: (1) Indices.txt is a text file containing R functions for calculating the overlap indices in Fieberg & Kochanny (2005); (2) CalcHR.txt is a text file containing functions that calculate HR area, as well as outer contours for different home range isopleths; (3) ExampleData.csv is a CSV containing the data in R's adehabitat package; (4) Example1.txt is a text file containing an R script illustrating index calculations using the adehabitat package data; and (5) Example1.pdf is a PDF snapshot of the output produced by running Example1.txt in an R environment.
DOI: 10.1594/wdcc/coastdat_cosmo-clm_gb0028
title: coastDat_COSMO-CLM German Bight 0028

description: Project: coastDat - CoastDat (http://www.coastdat.de/about_us/index.php) comprises a compilation of coastal analyses obtained from the combination of statistical and numerical models by Helmholtz-Zentrum Geesthacht Centre for Materials and Costal Research, Institute of Coastal Research. This project provides regional atmospheric and environmental marine data. The focus is on North Sea and Baltic Sea. Summary: This is an atmospheric hourly hindcast for the German Bight using COSMO-CLM version 5.00_clm2 from 1948-August 2015. The model uses a rotated grid with 250 x 180 grid points and a grid point distance of 0.025 degrees, the rotated North pole is located at 172.97 W, 34.925 N. The forcing is coastDat2 doi:10.1594/WDCC/coastDat-2_COSMO-CLM . In rotated coordinates the model area extends from 2.25 W to 2.25 E, 3.125 S to 3.125 N, in geographical coordinates this corresponds to about 1.3 E to 12.8 E, 52.7 N to 57.3 N.
DOI: 10.17043/oden-ao-2018-present-weather-1
title: Present weather sensor visibility and precipitation data from the Arctic Ocean 2018 expedition
DOI: 10.3886/icpsr03975.v1
title: European and World Values Surveys Integrated Data File, 1999-2002, Release I
title: Version 1

description: This data collection has been superseded by a new data collection that integrates all four waves of the European and World Values Surveys. For a description and for information on how to access the new data collection see: [ICPSR4531] EUROPEAN AND WORLD VALUES SURVEYS FOUR-WAVE INTEGRATED DATA FILE, 1981-2004.
DOI: 10.3886/icpsr07580.v1
title: Time Use in Economic and Social Accounts, 1975-1976
title: Version 1

description: This data collection represents an attempt to apply recent methodological developments in the measurement of time use to a national probability sample of United States households in order to facilitate development of a fully articulated system of economic and social accounts. The data for this study were collected from a sample of 2,406 adults (1,519 respondents and 887 spouses) first interviewed in October-November 1975, and reinterviewed three more times in February, May, and September 1976. Respondents were asked to keep a diary of daily activities so that time allocation patterns could be estimated for the entire year. In addition to the basic estimates of time use obtained from the diaries, the four waves of interviewing obtained information on the employment status of the respondent and spouse, the earnings and other income of the respondent and spouse, the "consumption benefits" for activities engaged in, the health, friendships, and associations of the respondents, the stock of technology available to the household, the house repair and maintenance activities of the family, the division of labor in household work and related attitudes, the physical characteristics of the respondents' housing structure, net worth and housing values, the job characteristics of the respondent and spouse, and the characteristics of mass media usage on a typical day. Background variables include marital status, education, religion, and political preference. AMERICAN'S USE OF TIME, 1965-1976, AND TIME USE IN ECONOMIC AND SOCIAL ACCOUNTS, 1975-1976: MERGED DATA (ICPSR 7796) is a data collection that combines this study with a similar one.
description: Multistage area probability sampling.
description: Datasets: DS1: Time Use in Economic and Social Accounts, 1975-1976
description: Housing units in the coterminous United States exclusive of those on military reservations.
description: The data collection contains complete data for the 1,519 respondents plus data for the 887 spouses of respondents. It is formatted to allow utilization of the spouses as additional respondents. This was done in order to facilitate analysis of data collected from respondents and their corresponding spouses and to take full advantage of the total number of individuals who were interviewed. The user makes the decision to use or not use the supplemental sample depending on her/his particular analysis plan and the validity of the particular variables to be used. Weight variables have been included in the file to account for the bias added by counting husband and wife each as separate respondents.
DOI: 10.5281/zenodo.1478608
title: water level and discharge data in the Mekong Delta

description: The dataset contains water level and discharge data at multiple station within the Mekong Delta. The timezone is local Vietnamese time.
description: Data usage is restricted. Access to the data can only be authorized upon approval of the SIWRP.
DOI: 10.5281/zenodo.3251898
title: Datasets for: A Study on Machine Vision Techniques...

description: Datasets for: A Study on Machine Vision Techniques...
description: The research leading to these results has received funding from: Inspección robotizada de los trajes de proteccion del personal sanitario de pacientes en aislamiento de alto nivel, incluido el ébola, Programa Explora Ciencia, Ministerio de Ciencia, Innovación y Universidades  (DPI2015-72015-EXP); the RoboCity2030-DIH-CM Madrid Robotics Digital Innovation Hub ("Robótica aplicada a la mejora de la calidad de vida de los ciudadanos. fase IV"; S2018/NMT-4331), funded by "Programas de Actividades I+D en la Comunidad de Madrid" and cofunded by Structural Funds of the EU; and ROBOESPAS: Active rehabilitation of patients with upper limb spasticity using collaborative robots, Ministerio de Economía, Industria y Competitividad, Programa Estatal de I+D+i Orientada a los Retos de la Sociedad (DPI2017-87562-C2-1-R).
DOI: 10.5281/zenodo.7942030
title: Usage Requirements on Recommender Systems for a Web Platform for Continuing Education in Public Transport in Germany

description: The dataset contains usage requirements on recommender systems for a web platform for continuing education in public transport in Germany. The underlying data was collected in 28 stakeholder interviews.
DOI: 10.6084/m9.figshare.3386062
title: BLM herbicide usage data, Wagner et al. (2016b)

description: BLM herbicide usage data used in the publication<br><br>"Wagner, V., Antunes, P.M., Irvine, M., Nelson, C.R. (2016) Herbicide usage for invasive non-native plant management in wildland areas of North America. Journal of Applied Ecology"<br><br>The data are summaries provided by the BLM for the purpose of the study. <br><br>See accompanying R script (10.6084/m9.figshare.3386032) and publication for more details on data preparation and analysis.<br>