Find research datasets worth reusing

opencc-zeroDec 2016View details →

Data from: Temporal and spatial activity-associated energy partitioning in free-swimming sea snakes

1. Partitioning energy between critical basal functions and activity-associated behaviours is a primary determinant of animal survival. Consequently, habitat selection is likely to be driven by the efficiency with which resources can be acquired from a heterogeneous energy landscape. 2. Determining how energy partitioning is achieved across temporal and spatial scales is particularly challenging in aquatic animals due to the logistical limitations in estimating field metabolic rates (FMR) while simultaneously examining habitat choice. 3. Here, accelerometry telemetry and bimodal respirometry were used to correlate vectorial dynamic body acceleration (VeDBA) with oxygen consumption rates (V̇o2) of sea snakes (Hydrophis curtus and H. elegans) across an ecologically-relevant temperature range. Subsequently, VeDBA of free-roaming snakes was used to estimate activity-associated FMR within a near-shore environment over diel, seasonal and spatial scales. 4. Diel changes in activity explained short-term patterns in FMR, whereas seasonal changes in water temperature drove long-term patterns. Spatial analyses demonstrated that activity-associated FMR was elevated in productive seagrass and mudflat habitats, indicative of a concentration of foraging efforts. 5. Our findings illustrate for the first time how sea snakes partition activity-associated FMR across time and space, providing an approach by which we can monitor the impacts of, and vulnerabilities to, natural and anthropogenic disturbances like warming and trawl fisheries.

Data from: Conservation planning for offsetting the impacts of development: a case study of biodiversity and renewable energy in the Mojave Desert

Balancing society's competing needs of development and conservation requires careful consideration of tradeoffs. Renewable energy development and biodiversity conservation are often considered beneficial environmental goals. However, the direct footprint and disturbance of renewable energy can displace species' habitat and negatively impact populations and communities if sited without ecological consideration. To mitigate residual impacts, offsets have emerged as a potentially useful tool after trying to avoid, minimize, or restore affected sites. Yet where many species or many sites are involved, the problem of efficiently designing a set of offset sites becomes increasingly complex. Spatial conservation prioritization tools are designed to handle this problem, but have seen little application to offset siting and analysis. To address this need we designed an offset siting support tool for the Desert Renewable Energy Conservation Plan (DRECP) of California, and present a case study of hypothetical impacts from solar development in the Western Mojave subsection. We compare two offset scenarios designed to mitigate a hypothetical 15,331 ha derived from proposed utility-scale solar energy development (USSED) projects. The first prioritizes offsets based precisely on impacted features, while the second offsets impacts based on the potential to maximize biodiversity conservation gains in the region. The two methods only agree on 28% of their prioritized sites and differ in meeting species-specific offset goals. Differences between the two scenarios highlight the importance of clearly specifying choices and priorities for offset siting and mitigation in general. Similarly, the effects of background climate and land use change may lessen the durability or effectiveness of offsets if not considered. Our offset siting support tool was designed specifically for the DRECP area, but with minor code modification could work well in other offset analyses, and provide continuing support for a potentially innovative mitigation solution to environmental impacts.

opencc-zeroDec 2015View details →

Data from: Ecophysiological limits to aerobic metabolism in hypoxia determine epibenthic distributions and energy sequestration in the northeast Pacific ocean

Expansion of oxygen deficient waters (hypoxia) in the northeast Pacific Ocean (NEP) will have marked impacts on marine life. The response of the resident communities will be a function of their ecophysiological constraints in low oxygen, although this remains untested in the NEP due to a lack of integrative studies. Here, we combine in situ surveys and lab-based respirometry experiments were conducted on three indicator species (spot prawn Pandalus platyceros, slender sole Lyopsetta exilis, squat lobster Munida quadrispina) of seasonally hypoxic systems in the NEP to test if metabolic constraints determine distributions and energy sequestration in a hypoxic setting. These experiments were integrated with a global review of critical oxygen levels ( math formula; lower threshold of aerobic metabolism) for crustaceans to determine if math formula-based hypoxia thresholds are different among ocean basins. Our results show that species-specific differences in math formula and standard metabolic rates (1) determine the lowest environmental oxygen ([O2]env) at which in situ populations occur, (2) result in disproportionate shifts in distributions among co-occurring species during summer hypoxia expansion events, and (3) characterize shifts in megafaunal community respiration rates due to marked spatio-temporal variability in [O2]env. Our results show that math formula-based hypoxia thresholds are significantly lower in the East Pacific Ocean relative to other major ocean basins, which suggests that the physiological response of local fauna to deoxygenation can be determined by the natural variability and oxygen exposure in a region. In order to establish realistic predictions on the biological consequences of marine deoxygenation, we suggest integrating metabolism-based traits to calculate hypoxia thresholds for marine ecosystems.

opencc-zeroDec 2017View details →

Data from: Is biodiversity energy-limited or unbounded? A test in fossil and modern bivalves

The quantity of biomass in an ecosystem is constrained by energy availability. It is less clear, however, how energy availability constrains taxonomic and functional diversity. Competing models suggest biodiversity is either resource-limited or far from any bound. We test the hypothesis that functional diversity in marine bivalve communities is constrained by energy availability, measured as particulate organic carbon (POC) flux, in the modern oceans. We find that POC flux predicts the relative prevalence of ecological modes in both the Atlantic and Pacific oceans. Moreover, the associations of ecological modes with POC fluxes are similar between the Atlantic and Pacific despite being based on independent sets of species, indicating a direct causal relationship. We then use the relationship between POC flux and the prevalence of functional groups in the modern to test the hypothesis that the trend of increasing functional diversity in bivalves across the past 500 million years has occurred in response to increased POC flux. We find no evidence that the earliest appearing modes of life are preferentially associated with low POC environments or that the mean POC flux experienced by marine bivalves has increased across geological time. To reconcile the close association between ecological mode and POC flux in the modern oceans with the lack of evidence for increasing POC fluxes across time, we propose that POC flux has not increased substantially over time but, rather, the increase in bivalve functional diversity enabled bivalves to become more abundant, to occupy a broader range of environments, and to capture a greater fraction of the total POC flux. The results here suggest at geographic scale of oceans and through geologic time bivalve diversity was not bounded by food availability.

Data from: Energy expenditure and body size are targets of natural selection across a wide geographic range, in a terrestrial invertebrate

One of the central questions in evolutionary ecology is how different functional capacities impact fitness, and how it varies across populations. For instance, do phenotypic attributes influence fitness similarly across geographic gradients? Which traits (physiological, morphological, life history) are most likely to be targets of natural selection? Do particular combinations of traits maximize fitness? In a semi-natural experiment, we analyzed introduced populations of an invasive species, the garden snail (Cornu aspersum) in Chile, which show low levels of genetic differentiation in spite of the distance. Specifically, we addressed whether the magnitude, sign and form of selection in snail populations could explain the differentiation (or its absence) among populations. A common garden/reciprocal transplant experiment was performed in three populations (La Serena, Constitución and Valdivia) that span a 1300 km latitudinal gradient and differ markedly in climate (semiarid North to humid South). We then released ca. 450 individuals per population (two generations after field-captured snails) in replicated enclosures at the range extremes (La Serena and Valdivia). Morphological (size and shell darkness), physiological (standard metabolic rate and digestive efficiency) and life history (growth rate) traits were measured in all snails before the release. Survival was recorded monthly during one year. However, we only detected significant selection on body size (MB), residual standard metabolic rate (SMRR) and growth rate. Survival was significantly higher in snails from La Serena than in snails from Constitución and Valdivia, when raised at La Serena. However, at Valdivia survival was not different among source populations. Interestingly, we found negative correlational selection in MB and SMRR at La Serena whereas at Valdivia, we only found directional selection on growth rate and MB, and stabilizing selection on SMRR. These results suggest that selection on physiological traits related with energy allocation is pervasive, irrespective of climate and distance.

Data from: Toward a mechanistic understanding of human-induced rapid environmental change: a case study linking energy development, nest predation, and predators

1. Demographic consequences of human-induced rapid environmental change (HIREC) have been widely documented for many populations. The mechanisms underlying such patterns, however, are rarely investigated and yet are critical to understand for effective conservation and management. 2. We investigated the mechanisms underlying reduced avian nest survival with intensification of natural gas development, an increasing source of HIREC globally. We tested the hypothesis that energy development increased the local activity of important nest predator species thereby elevating nest predation rates. During 2011–2012, we surveyed predators and monitored 668 nests of Brewer's sparrows Spizella breweri, sagebrush sparrows Artemisiospiza nevadensis and sage thrashers Oreoscoptes montanus breeding at twelve sites spanning a gradient of habitat loss from energy development in western Wyoming, USA. 3. Nine species, representing four mammalian and three avian families, were video-recorded depredating eggs and nestlings. Important nest predator species differed across songbird species, despite similar nesting habitats. Approximately 75% of depredation events were by rodents. 4. Consistent with our predictions, detections of most rodent nest predators increased with surrounding habitat loss due to natural gas development, which was associated with increased probability of nest predation for our three focal bird species. 5. An altered nest predator assemblage was therefore at least partly responsible for elevated avian nest predation risk in areas with more surrounding energy development. 6. Synthesis and applications. We demonstrate one mechanism, i.e. the local augmentation of predators, by which human-induced rapid environmental change (HIREC) can influence the demography of local populations. Given the accelerating trajectory of global energy demands, an important next step will be to understand why the activity and/or abundance of rodent predators increased with surrounding habitat loss from energy development activities.

opencc-zeroDec 2013View details →

Data from: When should species richness be energy limited, and how would we know?

Energetic constraints are fundamental to ecology and evolution, and empirical relationships between species richness and estimates of available energy (i.e. resources) have led some to suggest that richness is energetically constrained. However, the mechanism linking energy with richness is rarely specified and predictions of secondary patterns consistent with energy-constrained richness are lacking. Here, we lay out the necessary and sufficient assumptions of a causal relationship linking energy gradients to richness gradients. We then describe an eco-evolutionary simulation model that combines spatially explicit diversification with trait evolution, resource availability and assemblage-level carrying capacities. Our model identified patterns in richness and phylogenetic structure expected when a spatial gradient in energy availability determines the number of individuals supported in a given area. A comparison to patterns under alternative scenarios, in which fundamental assumptions behind energetic explanations were violated, revealed patterns that are useful for evaluating the importance of energetic constraints in empirical systems. We use a data set on rockfish (genus Sebastes) from the northeastern Pacific to show how empirical data can be coupled with model predictions to evaluate the role of energetic constraints in generating observed richness gradients.

opencc-zeroDec 2015View details →

Data from: Energy benefits and emergent space use patterns of an empirically parameterized model of memory-based patch selection

Many species frequently return to previously visited foraging sites. This bias towards familiar areas suggests that remembering information from past experience is beneficial. Such a memory-based foraging strategy has also been hypothesized to give rise to restricted space use (i.e. a home range). Nonetheless, the benefits of empirically derived memory-based foraging tactics and the extent to which they give rise to restricted space use patterns are still relatively unknown. Using a combination of stochastic agent-based simulations and deterministic integro-difference equations, we developed an adaptive link (based on energy gains as a foraging currency) between memory-based patch selection and its resulting spatial distribution. We used a memory-based foraging model developed and parameterized with patch selection data of free-ranging bison Bison bison in Prince Albert National Park, Canada. Relative to random use of food patches, simulated foragers using both spatial and attribute memory are more efficient, particularly in landscapes with clumped resources. However, a certain amount of random patch use is necessary to avoid frequent returns to relatively poor-quality patches, or avoid being caught in a relatively poor quality area of the landscape. Notably, in landscapes with clumped resources, simulated foragers that kept a reference point of the quality of recently visited patches, and returned to previously visited patches when local patch quality was poorer than the reference point, experienced higher energy gains compared to random patch use. Furthermore, the model of memory-based foraging resulted in restricted space use in simulated landscapes and replicated the restricted space use observed in free-ranging bison reasonably well. Our work demonstrates the adaptive value of spatial and attribute memory in heterogeneous landscapes, and how home ranges can be a byproduct of non-omniscient foragers using past experience to minimize temporal variation in energy gains.

Data from: Food restriction and chronic stress alter energy use and affect immunity in an infrequent feeder

Glucocorticoids are important mediators of energy utilization for key physiological processes, including immune function. Much work has focused on the effects of energy limitation and stress for key physiological processes such as reproduction and immunity. However, it is unclear how stress alters energy use across different energy states, and the physiological ramifications of such effects are even less clear. In this study, we altered energy and stress states of an infrequent feeder, the Terrestrial Gartersnake (Thamnophis elegans), using fasting and repeated restraint stress (Chronic Stressors) to test how these challenges interacted to affect immune function, energy metabolites, and glucocorticoid reactivity (a traditional indicator of stress state) to restraint stress, a standardized, acute stressor. After this acute stressor, the snakes which had received chronic stress had increased glucocorticoid reactivity, and both treatments altered energy metabolite use and storage. Evidence of interaction of food restriction and chronic stress treatments on innate immune function and energy metabolites (triglycerides and glycerol) suggests that stress alters energy use in a manner dependent on the energy state of the animal. Snakes have a remarkable ability to maintain functionality of key physiological processes under stressful conditions but are still susceptible to multiple simultaneous stressors, a situation increasingly prevalent in our ever-changing environment.

openbsd-2-clause-netbsdNov 2015View details →

Primate Daily Energy Use

Daily energy requirements of primates collated from the literature, with sample size, body weight, mean species brain weight (from Stephan 1981), basal metabolic rate, source, and measurement method.

opencc-by-4.0Jul 2016View details →

Underlying data for "Evaluation of solvation free energies for small molecules with the AMOEBA polarizable force field"

This dataset provides the parameters and results generated for the study "Evaluation of solvation free energies for small molecules with the AMOEBA polarizable force field" Contents of dataset: PARAMETERS.tar.gz A gzipped and tar'd directory with the parameters of all solutes sorted by solvent for AMOEBA and GAFF force field. This parameters directory is distributed to 4 different subdirectories: a)chloroform (21 solutes) b)toluene (21 solutes) c)dmso (6 solutes) d)acetonitrile (6 solutes). Each solvent includes two set of parameters for each solute (AMOEBA and GAFF). RESULTS.tar.gz A gzipped and tar'd directory with the solvation free energy results of all solutes in kcal/mol, with AMOEBA and GAFF force fields, for each solvent, in text format. A single set of conditions for a single solute is one row in the text files. The first column represents the experimental data, the remaining columns (2, 3 and 4) correspond to the three repeat simulations.

opencc-by-4.0Aug 2016View details →

Accurate exchange-correlation energies for the warm dense electron gas

Raw density matrix quantum Monte Carlo data for the spin polarised uniform electron at finite temperatures.

opencc-by-sa-4.0Sep 2016View details →

About prediction of vehicle energy consumption for eco-routing: simulation results

Supplementary materials, experiment results, processing scripts

opencc-by-4.0Jan 2017View details →

Data from "Transforming the Energy Landscape of a Coiled-coil Peptide via Point Mutations" in J. Chem. Theor. Comput., 2017

Data set for the work presented in "Transforming the Energy Landscape of a Coiled-coil Peptide via Point Mutations" A README file gives instructions on each file. Due to the size of the databases and trajectories, only a representative sample is given here. For more information please contact the authors. (Prof. David Wales at dw34@cam.ac.uk) This work was funded by a PhD scholarship of the Engineering and Physical Sciences Research Council UK. When using this data, please reference it accordingly.

opencc-by-4.0Jul 2017View details →

PowerTAC Energy Forum 2015 games

Log and boot files of all games

opencc-by-4.0Aug 2024View details →

Final geometries and energies, statistical analysis and estimated errors of single metals and bimetallics for CO2 to methanol conversion

The dataset accommodate all the extra data discussed in: Pisal, P., Krejčí, O. & Rinke, P. Machine learning accelerated descriptor design for catalyst discovery in CO2 to methanol conversion. npj Comput Mater 11, 213 (2025). https://doi.org/10.1038/s41524-025-01664-9  The datased contains four types of data: <ol> <li>All the final geometries and energies of adsorbated (*H, *O, *OCHO & *OCH3) and all the 158 single metals and bimetallic alloys on all the surfaces with Miller indices in {-2, -1, ... 2} optimized with Open Catalyst Project (OCP) 20 equiformer_V2 machine-learned force-field model. These are in the <a href="https://zenodo.org/api/records/15587232/draft/files/geometries_and_energies.zip/content" target="_blank" rel="noopener noreferrer">geometries_and_energies.zip</a> file organized by the metal/alloys name, with the final geometries and enerigies in a json file, using a json ASE format.</li> <li>All the estimated mean absolute errors (MAE) of predicted adsorption energies for all the considered metals and bimetallic alloys in <a href="https://zenodo.org/api/records/15587232/draft/files/Estimated_MAEs_metals_bimetallics.csv/content" target="_blank" rel="noopener noreferrer">Estimated_MAEs_metals_bimetallics.csv</a> and xlsx file. The data content is identical, files differs only by a format.</li> <li>All the adsorption energy disctibutions (AEDs) for all the 158 metals/alloys and adsorbates in <a href="https://zenodo.org/api/records/15587232/draft/files/AEDs_metals_bimetallics.csv/content" target="_blank" rel="noopener noreferrer">AEDs_metals_bimetallics.csv</a> and xlsx files. The data content is identical, files differs only by a format.</li> <li>All the statistical information of the adsorption energies for all the 158 metals/alloys and adsorbates in <a href="https://zenodo.org/api/records/15587232/draft/files/Statistics_AEDs_metals_bimetallics.csv/content" target="_blank" rel="noopener noreferrer">Statistics_AEDs_metals_bimetallics.csv</a> and xlsx files. The data content is identical, files differs only by a format.</li> </ol>

opencc-by-4.0Sep 2024View details →

High resolution, interactive, or animated versions of illustrations used in the paper "Quantifying the Dunkelflaute: An analysis of variable renewable energy droughts in Europe"

Open the record for dataset details and reuse information.

openother-openNov 2023View details →

Data bundle for egon-data: A transparent and reproducible data processing pipeline for energy system modeling

egon-data provides a transparent and reproducible open data based data processing pipeline for generating data models suitable for energy system modeling. The data is customized for the requirements of the research project eGon. The research project aims to develop tools for an open and cross-sectoral planning of transmission and distribution grids. For further information please visit the eGon <a href="https://ego-n.org/">project website</a> or its <a href="https://github.com/openego/eGon-data">Github repository.</a> egon-data retrieves and processes data from several different external input sources. As not all data dependencies can be downloaded automatically from external sources we provide a data bundle to be downloaded by egon-data. The following data sets are part of the available data bundle: <ol> <li> climate_zones_germany <ul> <li> Climate zones in Germany </li> <li> source: Own representation based on DWD TRY climate zones </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> cutouts <ul> <li> Weather data from Europe in 2011. Source: ERA5 </li> </ul> </li> <li> demand_regio_backup <ul> <li> Electricity and heat demands </li> </ul> </li> <li> emobility <ul> <li> Data on eMobility mit_trip_data: motorized individual travel - individual trips of electric vehicles (EV) generated with a modified version of simBEV v0.1.3 (https://github.com/rl-institut/simbev/tree/1f87c716d14ccc4a658b8d2b01fd12b88a4334d5). simBEV generates driving profiles for BEVs and PHEVs based upon MID data (BMVI) per RegioStaR7 region type (BBSR). </li> <li> Reiner Lemoine Institut, June 2022 </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> entsoe <ul> <li>   </li> </ul> </li> <li> gas_data <ul> <li> CH4 infrastructure </li> <li> Biogas demand </li> <li> CH4 demand </li> <li> Source: SciGRID_gas </li> </ul> </li> <li> geothermal_potential <ul> <li> Spatial distribution of deep geothermal potentials in Germany </li> <li> source: <a href="https://doi.org/10.3390/en11020332">Assessment and Public Reporting of Geothermal Resources in Germany: Review and Outlook</a> </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> household_electricity_demand_profiles <ul> <li> Annual profiles in hourly resolution of electricity demand of private households for different household types (singles, couples, other) with varying number of elderly and children. The profiles were created using a bottom-up load profile generator by Fraunhofer IEE developed in the Bachelor's thesis "Auswirkungen verschiedener Haushaltslastprofile auf PV-Batterie-Systeme" by Jonas Haack, Fachhochschule Flensburg, December 2012. The columns are named as follows: "<HH_TYPE_PREFIX>a<PROFILE_ID>", e.g. P2a0000 is the first profile of a couple's household with 2 children. See publication below for the list of prefixes. Values are given in Wh. A related conference paper can be obtained here: http://publica.fraunhofer.de/documents/N-374761.html </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> household_heat_demand_profiles <ul> <li> Sample heat time series including hot water and space heating for single- and multi-familiy houses. The profiles were created using the loadprofile generator by Fraunhofer IEE developed in the Master's thesis "Synthesis of a heat and electrical load profile for single and multi-family houses used for subsequent performance tests of a multi-component energy system", Simon Ruben Drauz, RWTH Aachen University, March 2016 </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> hydrogen_network <ul> <li> Planned H2 infrastructure </li> <li> Forecast H2 demand </li> <li> Source: fnb-gas </li> </ul> </li> <li> hydrogen_storage_potential_saltstructures <ul> <li> The data are taken from figure 7.1 in Donadei, S., et al., (2020), p. 7-5.. </li> <li> Source: Flach lagernde Salze, (c) BGR Hannover, 2021. Datenquelle: InSpEE-Salzstrukturen, (c) BGR, Hannover, 2015. & Donadei, S., Horváth, B., Horváth, P.-L., Keppliner, J., Schneider, G.-S., & Zander-Schiebenhöfer, D. (2020). Teilprojekt Bewertungskriterien und Potenzialabschätzung. BGR. Informationssystem Salz: Planungsgrundlagen, Auswahlkriterien und Potenzialabschätzung für die Errichtung von Salzkavernen zur Speicherung von Erneuerbaren Energien (Wasserstoff und Druckluft) – Doppelsalinare und flach lagernde Salzschichten: InSpEE-DS. Sachbericht. Hannover: BGR. </li> <li> License: The original data are licensed under the GeoNutzV, see <a href="https://sg.geodatenzentrum.de/web_public/gdz/lizenz/geonutzv.pdf">https://sg.geodatenzentrum.de/web_public/gdz/lizenz/geonutzv.pdf</a> </li> </ul> </li> <li> industrial_gas_demand </li> <li> industrial_sites <ul> <li> Information about industrial sites with DSM-potential in Germany from a Master's thesis by Danielle Schmidt. The data set includes own information on the coordinates of every industrial site. </li> <li> source: Schmidt, Danielle. (2019). Supplementary material to the masters thesis: NUTS-3 Regionalization of Industrial Load Shifting Potential in Germany using a Time-Resolved Model [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3613767 </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> mastr_geocoding </li> <li> nep2035_version2021 <ul> <li> Data extracted from the German grid development plan - power </li> <li> source: Netzentwicklungsplan Strom 2035 (2021), erster Entwurf | Übertragungsnetzbetreiber (M) CC-BY-4.0 </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> pipeline_classification_gas <ul> <li> Parameters for the classification of gas pipelines </li> <li> source: Single parameters extracted from <a href="https://www.econstor.eu/bitstream/10419/173388/1/1011162628.pdf">Electricity, Heat and Gas Sector Data for Modelling the German System</a> </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> pypsa_eur </li> <li> regions_dynamic_line_rating <ul> <li> German regions suitable to model dynamic line rating </li> <li> source: Own representation based on <a href="https://www.transnetbw.de/files/pdf/netzentwicklung/netzplanungsgrundsaetze/UENB_PlGrS_Juli2020.pdf">Grundsätze für die Ausbauplanung des Deutschen Übertragungsnetze (2020)</a> </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> re_potential_areas <ul> <li> Eligible areas for wind turbines and ground-mounted PV systems. </li> <li> Reiner Lemoine Institut, January 2022 </li> <li> License: Attribution 4.0 International (CC BY 4.0) </li> </ul> </li> <li> wind_offshore_status2019 <ul> <li>   </li> </ul> </li> <li> WZ_definition <ul> <li> Definitions of industrial and commercial branches </li> <li> source: <a href="https://www.destatis.de/static/DE/dokumente/klassifikation-wz-2008-3100100089004.pdf">Klassifikation der Wirtschaftszweige (WZ 2008)</a> </li> <li> Extract from Terms of Use: © Statistisches Bundesamt, Wiesbaden 2008 Vervielfältigung und Verbreitung, auch auszugsweise, mit Quellenangabe gestattet. </li> </ul> </li> <li> zensus_households <ul> <li> Dataset describing the amount of people living by a certain types of family-types, age-classes,sex and size of household in Germany in state-resolution. </li> <li> source: Data retrieved from <a href="https://ergebnisse2011.zensus2022.de/datenbank/online">Zensus Datenbank</a> by performing these steps: <ul> <li> Search for: "1000A-2029" </li> <li> or choose topic: "Bevölkerung kompakt" </li> <li> Choose table code: "1000A-2029" with title "Personen: Alter (11 Altersklassen)/Geschlecht/Größe desprivaten Haushalts - Typ des privaten Haushalts (nach Familien/Lebensform)" </li> <li> Change setting "GEOLK1" to "Bundesländer (16)" higher resolution "Landkreise und kreisfreie Städte (412)" only accessible after registration. </li> </ul> </li> <li> Extract from Terms of Use: © Statistische Ämter des Bundes und der Länder 2021, Vervielfältigung und Verbreitung, auch auszugsweise, mit Quellennachweis gestattet. </li> </ul> </li> <li> zensus_population </li> <li> district_heating_shares_egon.csv </li> </ol>

opencc-by-4.0Oct 2023View details →

The effects of grass silage additive type and barley grain preservation method on rumen function, microbial ecology, and energy metabolism of dairy cows; supplemental material

Supplementary material related to "The effects of grass silage additive type and barley grain preservation method on rumen function, microbial ecology, and energy metabolism of dairy cows"