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557 results for “demand”

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dryad32/100

Nitrogen fixation and gas exchange response to evaporative demand in soybean

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publicApr 2023View details →
dryad32/100

Data from: Is America dematerializing? Trends and tradeoffs in historic demand for one hundred commodities in the United States

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publicFeb 2025View details →
dryad32/100

Data from: The costs of a big brain: extreme encephalization results in higher energetic demand and reduced hypoxia tolerance in weakly electric African fishes

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publicJan 2017View details →
zenodo28/100

Demand data belonging to paper "A Practical Optimization Scheme for Real-Time Operation of Water Distribution Systems"

<p>The CSV file contains the demand data used in the paper &quot;A Practical Optimization Scheme for Real-Time Operation of Water Distribution Systems&quot; published in the Journal of Water Resources Planning and Management (2020)</p> <p><a href="https://doi.org/10.1061/(ASCE)WR.1943-5452.0001188">https://doi.org/10.1061/(ASCE)WR.1943-5452.0001188</a></p> <p>The demand data is for the test case and consists of one year of hourly demand values for the 8 demand nodes of the demo network. The data is in units of cubic meters per hour.</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

External and Internal Workload Demands in Youth Basketball Players

<p>External and Internal Workload Demands in Youth Basketball Players</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

GGCMI Phase 2: Crop model emulators of irrigation water demand (IWD)

<p>Polynomial emulators of irrigation water demand for globally gridded&nbsp;crop models from the GGCM phase 2 project. A0: no growing season adaptation. A1: with&nbsp;growing season adaptation. See:&nbsp;https://doi.org/10.5194/gmd-2019-365 and&nbsp;https://doi.org/10.5194/gmd-13-2315-2020 for more details.&nbsp;</p> <p>Note: the GEPIC emulator for maize and soy (A0) is not available.&nbsp;</p>

opencc-by-4.0Aug 2020View details →
zenodo28/100

Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective

<p>Supply and demand shocks in the COVID-19 pandemic: An industry and occupation perspective<br> R. Maria del Rio-Chanona, Penny Mealy, Anton Picheler, Francois Lafond, J. Doyne Farmer<br> contact:<br> &nbsp;Results&nbsp;<br> The supply, demand, and total shocks at the industry and occupation level are in files:</p> <p>industry_variables_and_shock.csv<br> occupation_variables_and_shock.csv</p> <p>To reproduce our results we also include<br> The employment data between industries and occupations<br> industry_occupation_employment.csv<br> The classification of work activities<br> iwa_remotelabor_labels.csv<br> The essential score of industries at the NAICS 4d level<br> essential_score_industries_naics_4d_rev.csv<br> &nbsp;</p> <p>Update with respect to the previous version</p> <p>We have now included our code to reproduce our study from scratch.</p>

opencc-by-4.0Apr 2020View details →
dryad28/100

Data from: Urbanization-driven climate change increases invertebrate lipid demand, relative to protein—a response to dehydration

<p>1. Climatic change alters not only animal energy balance, but also water balance, but this latter topic has received less attention. Water can be obtained through consumption of moist food and metabolism of dry food. The breakdown of carbohydrates, lipids, and proteins can produce metabolic water. Metabolism of lipids produces large amounts of water, whereas excretion of nitrogenous waste related to protein metabolism requires water losses.</p> <p>2. Here we tested the hypothesis that climatic shifts associated with urbanization influences animal lipid demand relative to protein, due to shifts in water balance.</p> <p>3. We placed artificial diets high in lipid or protein, and either with or without supplemented water, at 16 pairs of sites along an urbanization gradient in Toledo, OH, USA.</p> <p>4. Lipid consumption, relative to protein, increased with urbanization and mean temperature, but water supplementation reduced the magnitude of this association. Ants were ~50% of the observed consumers.</p> <p>5. These results suggest that shifts in nutritional demand with climatic change are partially predictable from physiological first principles related to water balance and nutrient metabolism. Because ants and other arthropods play key roles in many food webs and ecosystems, increased demand for lipids with urbanization or climate change could have major consequences for ecosystem services (e.g. urban waste removal, seed predation). Overall, our results suggest that warming related to urbanization increases animal demand for lipids, in part to maintain water balance, and this could have important implications for both animal health and ecosystem services.</p>

opencc-zeroNov 2020View details →
dryad28/100

Data from: Congestion reduction through efficient container movement under stochastic demand

<p>In today's world, there is a significant amount of investigation regarding how to efficiently distribute loaded containers from the ports to the consignees. However, to fully maximize the process and become more environmentally friendly, one should also study how to allocate the empty containers created by these consignees. This is an essential part in the study of container movement since it balances out the load flow at each location.</p> <p>The problem of coordinating the container movement to reuse empty containers and lower truck miles is called the "Empty Container Problem". In this work, we develop a scheduling assignment for loaded and empty containers that builds on earlier models but incorporates stochastic (random) future demand. It is worth mentioning that in the previous research [5], the empty container problem was divided into two subproblems, including an assignment problem and a vehicle routing problem (VRP).</p> <p>The previous research only considered the problem as a one-day horizon. But in reality, the container movements are not only to fulfill today's demand at each location but also prepare for the next day's delivery. Thus, incorporating future demand is an essential aspect of the problem.</p> <p>By considering the future demand, a better solution can be constructed compared to solving the problem as a one-day horizon problem. This report shows that the truck miles needed to satisfy the demand at all locations is reduced by about 4-7% when considering future stochastic demand as opposed to only considering today's demand,  thus, leading to a cleaner and greener solution, creating less congestion and lowering the impact of freight movement on the environment.</p>

opencc-zeroApr 2020View details →
dryad28/100

Data from: Group size adjustment to ecological demand in a cooperative breeder

Environmental factors can determine which group size will maximise the fitness of group members. This is particularly important in cooperative breeders, where group members often serve different purposes. Experimental studies are yet lacking to check whether ecologically mediated need for help will change the propensity of dominant group members to accept immigrants. Here we manipulated the perceived risk of predation for dominant breeders of the cooperatively breeding cichlid fish Neolamprologus pulcher to test their response to unrelated and previously unknown immigrants. Potential immigrants were more readily accepted if groups were exposed to fish predators or egg predators than to herbivorous fish or control situations lacking predation risk. Our data are consistent with both risk dilution and helping effects. Egg predators were presented before spawning, which might suggest that the fish adjust acceptance rates also to a potential future threat. Dominant group members of N. pulcher apparently consider both present and future need of help based on ecological demand. This suggests that acceptance of immigrants and more generally, tolerance of group members on demand could be a widespread response to ecological conditions in cooperatively breeding animals.

opencc-zeroDec 2012View details →
dryad28/100

Data from: Independence among physiological traits suggests flexibility in the face of ecological demands on phenotypes

Phenotypic flexibility allows animals to adjust their physiology to diverse environmental conditions encountered over the year. Examining how these varying traits covary gives insights into potential constraints or freedoms that may shape evolutionary trajectories. In this study we examined relationships among hematocrit, baseline corticosterone concentration, constitutive immune function and basal metabolic rate in red knot Calidris canutus islandica individuals subjected to experimentally manipulated temperature treatments over an entire annual cycle. If covariation among traits is constrained, we predict consistent covariation within and among individuals. We further predict consistent correlations between physiological and metabolic traits if constraints underlie species level patterns found along the slow-fast pace-of-life continuum. We found no consistent correlations among hematocrit, baseline corticosterone concentration, immune function and basal metabolic rate either within or among individuals. This provides no evidence for constraints limiting relationships among these measures of the cardiovascular, endocrine, immune and metabolic systems in individual red knots. Rather, our data suggest that knots are free to adjust individual parts of their physiology independently. This makes good sense if one places the animal within its ecological context where different aspects of the environment might put different pressures on different aspects of physiology.

opencc-zeroDec 2011View details →
zenodo28/100

Raw data belonging to paper “Simulative Evaluation of Demand Response Approaches for Waterbeds”

<p>The Zip file contains the raw data used for drawing conclusions in the paper &quot;Simulative Evaluation of Demand Response Approaches for Waterbeds&quot; published on IEEE ENERGYCON 2016. The paper quantitatively compares demand response approaches for waterbeds using simulation. The raw data was produces from the simulation log files or measurements with a real waterbed. It is described in file readme.pdf contained in the Zip file.</p>

openother-atDec 2015View details →
zenodo28/100

Dataset for the publication "The Resource Demand of Multi-Terawatt Scale Perovskite Tandem Photovoltaics"

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opencc-by-4.0Dec 2023View details →
zenodo28/100

Dataset related to the article: A new strategy for measuring tourism demand features

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opencc-by-4.0Nov 2024View details →
zenodo28/100

Triple Bottom Line Analysis of the Decline in Foreign Tourist Demand in Japan due to the COVID-19 Pandemic: Counterfactual Structural Decomposition Approach

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opencc-by-4.0Mar 2024View details →
zenodo28/100

Supplementary material 2 from: Dworczyk C, Burkhard B (2021) Conceptualising the demand for ecosystem services – an adapted spatial-structural approach. One Ecosystem 6: e65966. https://doi.org/10.3897/oneeco.6.e65966

Ecosystem Services

opencc-zeroDec 2021View details →
zenodo28/100

Supplementary material 1 from: Dworczyk C, Burkhard B (2021) Conceptualising the demand for ecosystem services – an adapted spatial-structural approach. One Ecosystem 6: e65966. https://doi.org/10.3897/oneeco.6.e65966

Reviewed articles.

opencc-zeroDec 2021View details →
zenodo28/100

Hands-on: How to add a service demand in MUSE

<p>Files available in this repository:</p> <p>1) Default example of MUSE</p>

opencc-by-4.0Feb 2022View details →
dryad28/100

Data from: The influence of the COVID-19 pandemic on the demand for different shades of green

<p>COVID-19 has heightened the dependence of urban dwellers on cultural ecosystem services provided by urban green spaces (UGS), specifically in regard to the provision of recreational opportunities, and psychological and physical health benefits arising from their use.</p> <p>As different types and levels of cultural ecosystem services are provided by different types of UGS, people may seek out different UGS to satisfy personal needs over various phases of COVID-19 mobility restrictions imposed by cities. We report on a study that took advantage of the different phases of COVID-19 mobility restrictions to assess the demand for and perception of different types of UGS in Singapore.</p> <p>The study utilised four data sets to compare demand for and visitorship patterns of UGS before the pandemic (Pre-Circuit Breaker), the duration of the strictest mobility restrictions (Circuit Breaker), and after the measures were relaxed (Post-Circuit Breaker). We used Google Search trends as a proxy for UGS demand, Google mobility data for an overview of population visitorship trends, visitor counts for granular insights on actual visitorship trends, and qualitative data on perception of parks by park visitors after restrictions eased. Parks were categorised as manicured and less manicured UGS for analysis.</p> <p>Search interest for UGS overall fell by more than 50% from during Circuit Breaker but the post-Circuit Breaker levels exceeded pre-Circuit Breaker, with a 70.9% increase for less manicured UGS compared to 20.8% for manicured UGS. This corroborated with Google mobility and visitor counts, which showed a steep decrease in park use followed by a rapid increase in the same periods, and with increased visitorship in the less manicured UGS. The perception study also showed that more than 50% of respondents reported visiting parks that they have never visited before, and there was a greater appreciation and use of UGS after the pandemic and preference for less manicured and more naturalistic landscapes.</p> <p>The pandemic has heightened the demand for cultural ecosystem services provided by UGS. Our study showed that this demand is not uniform across different types of UGS, with an increase visitorship and preference for less manicured green spaces.</p>

opencc-zeroFeb 2022View details →
zenodo28/100

Dataset supplementing "B. Ojha, M. Schober, S. Turad, J. Jochum and H. Kohler; Gasification of biomass: Very sensitive monitoring of TAR in syngas by determination of the oxygen demand– A proof of concept,Processes 2022"

<p>Dataset supplementing &quot;B. Ojha, M. Schober, S. Turad, J. Jochum and H. Kohler;Gasification of biomass: Very sensitive monitoring of TAR in syngas by determination of the oxygen demand&ndash; A proof of concept,Processes 2022 &quot;</p>

openJun 2022View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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