Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
530
datasets available to search
ShareScore release 0.9.0
Dataset results
530 results for “data availability”
Data from: Pilot-scale H2S and swine odor removal system using commercially available biochar
<p>This is digital research data corresponding to a published manuscript in "Pilot-scale H2S and swine odor removal system using commercially available biochar" Agronomy 2021, 11, 1611. Dataset may be assessed via the included link at the Dryad data repository.</p> <p>Although biochars made in laboratory seem to remove H<sub>2</sub>S and odorous compounds effectively, very few studies are available for commercial biochars. This study evaluated the efficacy of a commercial biochar (CBC) for removing H<sub>2</sub>S and odorous volatile organic compounds (VOCs).</p>
Data from: Thermal plasticity in protective wing pigmentation is modulated by genotype and food availability in an insect model of seasonal polyphenism
<p>Phenotypic variation in natural populations results from complex interactions between organisms and their changing environments. The environment shapes both phenotypic frequencies (during adaptation) and organismal phenotypes (through phenotypic plasticity). Developmental plasticity, in particular, refers to the phenomenon whereby an organism's phenotype depends on the environmental conditions during development. It can match phenotype to ecological conditions and help organisms to cope with environmental heterogeneity, including differences between alternating seasons. Experimental studies of developmental plasticity often focus on the impact of individual environmental cues and do not take explicit account of genetic variation. In contrast, natural environments are complex, comprising multiple variables with combined effects that are poorly understood and may vary among genotypes. We investigated the effects of multifactorial environments on the development of the seasonally plastic eyespots of <em>Bicyclus anynana</em> butterflies. Eyespot size depends on developmental temperature and is involved in alternative seasonal strategies for predator avoidance. In nature, both temperature and food availability undergo seasonal fluctuations. However, our understanding of how thermal plasticity in eyespot size varies in response to food availability and across genotypes remains limited. To address this, we investigated the combined effects of temperature (T; two levels: 20°C and 27°C) and food availability (N; two levels: control and limited) during development. We examined their impact on wing and eyespot size in adult males and females from multiple genotypes (G; 28 families). We found evidence of thermal and nutritional plasticity and temperature-by-nutrition interactions (significant TxN) on the size of eyespots in both sexes. Food limitation resulted in relatively smaller eyespots and tempered the effects of temperature. Additionally, we found differences among families for thermal plasticity (significant GxT effects), but not for nutritional plasticity (non-significant GxN effects) nor for the combined effects of temperature and food limitation (non-significant GxTxN effects). Our results reveal the context dependence of thermal plasticity, with the slope of thermal reaction norms varying across genotypes and across nutritional environments. We discuss these results in light of the ecological significance of pigmentation and the value of considering thermal plasticity in studies of the biological impact of climate change.</p>
Ocean variability drives severe increases in heavy rainfall in the Yellow River Basin-Data availability part
Open the record for dataset details and reuse information.
Data from: Allocation and functional traits of trees and saplings of Bornean tree species growing under contrasting soil nutrient availabilities
<p>The files hold the data of allocation and traits of adult trees ((i) the relationship between tree height and diameter at breast height, (ii) nutrient concentration in green leaves, senescent leaves, wood, and (iii) wood density) and saplings ((i) biomass allocation to leaves, stem, coarse roots, and fine roots, (ii) nutrient concentration in levees, senescent leaves, stem, and roots, and (iii) leaf mass per area) in Bornean tropical tree species growing under contrasting soil nutrient availabilities.</p> <p>Study site includes the Tawau Hills Park (4°27′N, 117°56′E, ca. 300 m asl), the Deramakot Forest Reserve (5°22′N, 117°25′E, ca. 250 m asl), and Nabawan (5°05′N, 116°29′E, ca. 500 m asl), Sabah, Malaysia. Vegetation of Tawau and Deramakot is a mixed dipterocarp forest, whereas that of Nabawan is a tropical heath forest. These sites considerably differ in soil characteristics. The forests in the Tawau Hills Park lie on the andesitic volcanic ash derived from the past eruptions ca. 27000 years ago by Mt. Magdalena, Mt. Lucia, and Mt. Maria. On the other hand, soils in the Deramakot Forest Reserve are derived from tertiary sedimentary rocks. Soils of Nabawan are classified as white sand podosol.</p>
Data from: Water availability and temperature as modifiers of evaporative water loss in tropical frogs
<p>Water plays a notable role in the ecology of most terrestrial organisms due to the risks associated with water loss. Specifically, water loss in terrestrial animals happens through evaporation across respiratory tissues or epidermis. Amphibians are ideal systems for studying how abiotic factors impact water loss since their bodies often respond quickly to environmental changes. While the effect of temperature on water loss is well known across many taxa, we are still learning how temperature in combination with humidity or water availability affects water loss. Here, we tested how standing water sources (availability) and temperature (26 and 36°C) together affect water loss in anuran amphibians using a Bayesian framework. We also present a conceptual model for considering how water availability and temperature may interact, resulting in body mass changes. After accounting for phylogenetic and time autocorrelation, we determined how different variables (water loss and uptake rates, temperature, and body size) affect body mass in three species of tropical frogs (<em>Rhinella marina</em>, <em>Phyllobates terribilis</em>, and <em>Xenopus tropicalis</em>). We found that all variables impacted body mass changes with greater similarities between <em>P. terribilis</em> and <em>X.</em> <em>tropicalis</em>, but only temperature showed a notable effect in <em>P. terribilis</em>. Furthermore, we describe how the behavior of <em>P. terribilis</em> might affect its water budget. This study shows how organisms might manage water budgets across different environments and is important for developing our models of evaporative water loss and species distributions.</p>
Annex B – Occurrence data on TBBPA and TBBPA derivatives in food submitted to EFSA, dietary surveys per country and age group available in the EFSA Comprehensive Database considered in the exposure assessment, and chronic dietary exposure to TBBPA and the contribution of different food groups to the dietary exposure
<p><span>This Annex contains the occurrence data submitted to EFSA, the dietary surveys per country and age group, and the chronic dietary exposure to PBDEs and the contribution of different food groups to the dietary exposure related to the Update of the risk assessment of TBBPA and its derivatives in food.</span></p>
Thermophysical properties of hydrogen mixtures relevant for the development of the hydrogen economy: Review of available experimental data and thermodynamic models
<p>File: 1-s2.0-S096014812201271X-mmc1.docx</p> <p>This file (DOCX) contains additional figures associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc2.xlsx</p> <p>This file (XLSX) contains tables with the coordinates of the VLE associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc3.xlsx</p> <p>This file (XLSX) contains tables with the density data associated with the hydrogen-containing systems.</p> <p>File: 1-s2.0-S096014812201271X-mmc4.xlsx</p> <p>This file (XLSX) contains tables with the calorific data associated with the hydrogen-containing systems.</p> <p> </p> <p>File: 2022_Renewable Energy_Manuscript_repository.docx</p> <p>This is an author-created, un-copyedited version of an article accepted for publication in Renewable Energy (2022, 198, 1398-1429). The editor of the Journal is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The definitive publisher-authenticated, Open-Access version is available online at: https://doi.org/10.1016/j.renene.2022.08.096</p>
Data for 'Nitrogen Availability and Summer Drought, but not N:P Imbalance, Drive Carbon Use Efficiency of a Mediterranean Tree-Grass Ecosystem
<p>These are flux, meteorology, phenological transition dates and a NDVI timeseries for the Majadas del Tietar 'MANIP' experimental site between 2014 and 2020. </p> <p>These data were used for the manuscript:</p> <p>Nair et al. <span>Nitrogen Availability and Summer Drought, but not N:P Imbalance, Drive Carbon Use Efficiency of a Mediterranean Tree-Grass Ecosystem submitted to Global Change Biology. <br></span></p> <p><span>In this repository we provide partially processed data to reproduce the analysis in our manuscript.<br>Raw images and half-hourly flux data are available at the following locations:</span></p> <p><span>Phenocam Imagery: the Phenocam network (https://phenocam.nau.edu/webcam/, sites - CT: eslma, NT: eslma1, NPT: eslma2).<br></span><span>Flux and meteo: the European Flux Database (https://www.europe-fluxdata.eu/, sites - CT: ES-LMa, NT: ES-LM1, NPT: ES-LM2). <br></span><span>Satellite NDVI: Sentinel-2A and 2B data available at https://dataspace.copernicus.eu/.</span></p>
Experimental raw data sets associated with certified reference material BAM-P115 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 140 to 154 m²/g<br>Expected specific surface area for argon (BET): 129 to 135 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Experimental raw data sets associated with certified reference material BAM-P114 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)
<p>These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277.<br>The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin.<br>It is recommended to use the following requirements for the molecular cross-sectional area:<br>Nitrogen: 0.1620 nm²<br>Argon: 0.1420 nm²</p> <p>Expected specific surface area for nitrogen (BET): 24 to 25 m²/g<br>Expected specific surface area for argon (BET): 20 m²/g</p> <p>Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material.<br>The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon.<br>These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.</p>
Data Set available for Liquid Biopsy of CML Diagnosis
<p><em><span>Chronic Myeloid Leukemia, CML, is caused in patients with myeloproliferative disorders by the presence of BCR::ABL1. The research discussed the integration of microfluidic chips with biosensors for the purpose of detecting biomarkers in peripheral blood thereby showing the raw experimental data set avaialble, liquid bipsy sample set available and Calculation for methods and data Simulation along with graphs, which could obviate the need for painful biopsies, thereby improving diagnostic accuracy and accessibility.</span></em></p>
Annex B – Occurrence data on brominated phenols and their derivatives in food submitted to EFSA, dietary surveys per country and age group available in the EFSA Comprehensive Database considered in the exposure assessment, and the detailed results of the chronic dietary exposure assessment to 2,4,6-TBP and the contribution of different food groups to the dietary exposure
<p>This Annex contains the occurrence data submitted to EFSA, the dietary surveys per country and age group, and the detailed results of the chronic dietary exposure assessment to 2,4,6-TBP and the contribution of different food groups to the dietary exposure related to the Update of the risk assessment of brominated phenols and their derivatives in food.</p>
Data from: Centennial-scale reductions in nitrogen availability in temperate forests of the United States
Forests cover 30% of the terrestrial Earth surface and are a major component of the global carbon (C) cycle. Humans have doubled the amount of global reactive nitrogen (N), increasing deposition of N onto forests worldwide. However, other global changes—especially climate change and elevated atmospheric carbon dioxide concentrations—are increasing demand for N, the element limiting primary productivity in temperate forests, which could be reducing N availability. To determine the long-term, integrated effects of global changes on forest N cycling, we measured stable N isotopes in wood, a proxy for N supply relative to demand, on large spatial and temporal scales across the continental U.S.A. Here, we show that forest N availability has generally declined across much of the U.S. since at least 1850 C.E. with cool, wet forests demonstrating the greatest declines. Across sites, recent trajectories of N availability were independent of recent atmospheric N deposition rates, implying a minor role for modern N deposition on the trajectory of N status of North American forests. Our results demonstrate that current trends of global changes are likely to be consistent with forest oligotrophication into the foreseeable future, further constraining forest C fixation and potentially storage.
PubMed inner references obtained from five freely available bibliographic data sources
<p>This dataset contains PMID-to-PMID citations of PubMed 2020 Baseline extracted from five freely available bibliographic data sources (COCI, Dimensions, MAG, NIH-OCC, and S2ORC).</p> <p>Each line contains one citing PubMed document and its cited references. The citing and cited documents are separated by a tab (\t) and the cited references are separated by a semicolon (;).</p>
Data and Code for Atmospheric oxygen abundance, marine nutrient availability, and organic carbon fluxes to the seafloor
<p>Code and Data for manuscript "<strong>Atmospheric oxygen abundance, marine nutrient availability, and organic carbon fluxes to the seafloor"</strong></p>
Data from: Resource availability affects seasonal trajectories of population-level learning
<p>Environmental effects on learning are well known, such as cognition that is mediated by nutritional consumption. Less known is how seasonally variable environments affect phenological trajectories of learning. Here, we test the hypothesis that nutritional availability affects seasonal trajectories of population-level learning in species with developmentally plastic cognition. We test this in bumble bees (Apidae: Bombus), a clade of eusocial insects that produce individuals at different time points across their reproductive season and exhibit organ developmental plasticity in response to nutritional consumption. To accomplish this, we develop a theoretical model that simulates learning development across a reproductive season for a colony parameterized with observed life history data. Our model finds two qualitative seasonal trajectories of learning: (1) an increase in learning across the season and (2) no change in learning across the season. We also find these two qualitative trajectories revealed by empirical learning data; the proportion of workers successfully completing a learning test increases across a season for two bumble bee species (Bombus auricomus, Bombus pensylvanicus), but does not change for another three (Bombus bimaculatus, Bombus griseocollis, Bombus impatiens). This study supports the novel consideration that resources affect seasonal trajectories of population-level learning in species with developmentally plastic cognition.</p>
Data from: Temporal change in floral availability leads to periods of resource limitation and affects diet specificity in a generalist pollinator
<p class="Default"><span>Generalist species are core components of ecological networks and crucial for the maintenance of biodiversity. Generalised species and networks are expected to be more resilient, therefore understanding the dynamics of specialisation and generalisation in ecological networks is a key focus in a time of rapid global climate change. Whilst diet generalisation is frequently studied, our understanding of how it changes over time is limited. We explore temporal variation in diet specificity in the honeybee (<em>Apis mellifera</em>), using pollen DNA metabarcoding of honey samples, through the foraging season, over two years. We find that overall, honeybees are generalists that visit a wide range of plants, but there is temporal variation in the degree of specialisation. Temporal specialisation of honeybee colonies corresponds to periods of resource limitation, identified as a lack of honey stores. Honeybees experience a lack of preferred resources in June when switching from flowering trees in spring to shrubs and herbs in summer. Investigating temporal patterns in specialisation can identify periods of resource limitation that may lead to species and network vulnerability. Diet specificity must therefore be explored at different temporal scales in order to fully understand species and network stability in the face of ecological change.</span></p>
Data for: Limited host availability disrupts the genetic correlation between virulence and transmission
<p>Virulence is expected to be linked to parasite fitness via transmission. However, it is not clear whether this relationship is genetically determined, nor if it differs when transmission occurs continuously during, or only at the end of, the infection period. Here, we used inbred lines of the macro-parasitic spider mite <em>Tetranychus urticae</em> to disentangle genetic vs non-genetic correlations among traits, while varying parasite density and opportunities for transmission. A positive genetic correlation between virulence and the number of transmitting stages produced was found under continuous transmission. However, if transmission occurred only at the end of the infection period, this genetic correlation disappeared. Instead, we observed a negative relationship between virulence and the number of transmitting stages, driven by density dependence. Thus, within-host density dependence caused by reduced opportunities for transmission may hamper selection for higher virulence, providing a novel explanation as to why limited host availability leads to lower virulence.</p>
Data Availability for "The RNA-binding protein landscapes differ between mammalian organs and cultured cells"
<p>Data Availability for "The RNA-binding protein landscapes differ between mammalian organs and cultured cells" Joel I. Perez-Perri, Dunja Ferring-Appel, Ina Huppertz, Thomas Schwarzl, Sudeep Sahadevan, Frank Stein, Mandy Rettel, Bruno Galy, and Matthias W. Hentze</p>
Data from: Thermoregulatory costs of the innate immune response are modulated by winter food availability in a small passerine
<p>1. In winter, a challenge to the immune system could pose a major energetic trade-off for small endotherms, whereby increasing body temperature (<em>T</em><sub>b</sub>; i.e. eliciting fever) may be beneficial to fight off invading pathogens yet incur a cost for vital energy-saving mechanisms.</p> <p>2. Having previously shown that the availability and acquisition of energy, through manipulation of food predictability, influence the depth of rest-phase hypothermia in a wild bird in winter, we expected that the nocturnal thermoregulatory component of the acute-phase immune response would also be modulated by food availability.</p> <p>3. By manipulating winter food availability in the wild for great tits, <em>Parus major</em>, we created an area offering a "predictable" and constant supply of food at feeding stations, while an unmanipulated area was subject to naturally "unpredictable" food. Birds were subject to an immune challenge shortly after dusk, and the thermoregulatory response was quantified via continuous recording of nocturnal <em>T</em><sub>b</sub>, using subcutaneous thermo-sensitive transponders.</p> <p>4. In response to immune challenge, all birds increased <em>T</em><sub>b</sub> above the level maintained prior to immune challenge (i.e. baseline). However, birds experiencing a naturally unpredictable food supply elevated <em>T</em><sub>b</sub> more than birds with access to predictable food resources, during the period of expected peak response and for the duration of the night. Furthermore, "unpredictable-food" females took longer to return to baseline <em>T</em><sub>b</sub>. Assuming baseline nocturnal <em>T</em><sub>b</sub> reflects an individual's optimum, based on their available energy budget, the metabolic cost of eliciting an acute-phase response for "unpredictable-food" birds was more than double that of "predictable-food" birds. The absence of differences in absolute <em>T</em><sub>b</sub> during the peak response could support the idea of an optimal <em>T</em><sub>b</sub> for immune system activation. Alternatively, "predictable-food" birds could have acquired tolerance to endotoxin as a result of using feeding stations, thus affording them reduced costs associated with a smaller <em>T</em><sub>b</sub> increase.</p> <p>5. These findings shed new light on the trade-offs associated with food acquisition, thermoregulation and immune function in small-bodied endotherms. This knowledge is of increasing importance, given the predicted elevated pathogen risks associated with changes in climate and anthropogenic activities.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.