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3,172 results for “Publications”
Full list of publications dealing with resources nutritional quality in ecology
<p><span>Our understanding of ecosystem functioning is strongly linked to the study of predator-prey relationships and food web structures. However, trophic ecology has often focused on identifying taxonomic relationships and quantifying the biomass or energy ingested by consumers, but has often failed to integrate the importance of the nutritional quality of resources in ecological dynamics. Underlying this gap is the multi-dimensional nature of resource quality which has hampered any consensus on the definition of resource nutritional quality. In this special issue, we aimed at gathering a subset of articles exemplifying the diversity of variables by which resources quality is quantified, the diversity of research topics that can be tackled in ecology - from physiological or evolutionary aspects to ecosystem processes - and propose some perspectives on the integration of nutritional quality within broader ecological concepts. Using a semi-automated literature analysis, we map the current landscape of the "resources nutritional quality" research of the last 30 years. We depict how it has been quantified through physical, biological or chemical indicators, the use of these parameters being largely dependent on the type of ecosystem studied and on the investigated ecological process. We then position t</span><span>he articles published in this special issue of Oikos within this landscape, showing they cover a small but relatively well representative subset of the domains of resources quality-related issues. Articles in this special issue browse a range of individual and population-level approaches (embracing evolutionary questions) to community related questions, include methodological issues and ecosystem-wide approaches using trophic quality indicators as tracers of resources origin. Based on these studies and on the literature review, we identify a non-exhaustive list of challenges and perspectives of research that we consider of highest priority in the large topic of trophic ecology.</span></p>
Original data for publication: The Atomically Precise Gold/Captopril Nanocluster Au25(Capt)18 Gains Anticancer Activity by Inhibiting Mitochondrial Oxidative Phosphorylation
<p> Original data for publication: The Atomically Precise Gold/Captopril Nanocluster Au<sub>25</sub>(Capt)<sub>18</sub> Gains Anticancer Activity by Inhibiting Mitochondrial Oxidative Phosphorylation, ACS Applied Materials & Interfaces</p>
Austrian Science Fund (FWF) Publication Cost Data 2021
<p>The following dataset provides information on the publication costs spent by the Austrian Science Fund (FWF) via the programmes Peer-reviewed Publications (<a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/peer-reviewed-publications/</a>) and Stand-Alone Publications (<a href="https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/">https://www.fwf.ac.at/en/research-funding/fwf-programmes/stand-alone-publications/</a>) in 2021.</p>
Data to support the publication The use of Twitter for knowledge exchange on sustainable soil management
<p>5 farmer semi-structured interviews</p>
Dataset (III) related to publication: Discrepancy in interactions and conformational dynamics of pregnane X receptor (PXR) bound to an agonist and a novel competitive antagonist
<p>MD simulation data related to the publication Rashidian et al.: Discrepancy in interactions and conformational dynamics of pregnane X receptor (PXR) bound to an agonist and a novel competitive antagonist. <a href="https://doi.org/10.1016/j.csbj.2022.06.020">https://doi.org/10.1016/j.csbj.2022.06.020</a></p> <p>Individual .zip files contain raw-desmond trajectories (-out.cms files and trj-files)</p> <p>dataset I: systems SRL+Co, C-100 and BAY-1797</p> <p>dataset I: each file contains all branched replicas and the main replica.</p> <p>dataset1: C_100_Replica1 contains four branched replicas and the main replica. The two of four branched replicas which stem from the middle of the main replica named: b_c_D1_r1_2285 (corresponding name in the SI data is R1_a) and b_c_D1_2285_r1_2 (corresponding name in the SI data is R1_b).</p> <p>dataset1: C_100_Replica2–5 , each file contains one main replica and the two branches.</p> <p>dataset I: system SRL+Co ;each file contains one main replica</p> <p>dataset I: system BAY-1797; each file contains one main replica</p> <p>dataset II:system SRL ; each file contains one main replica.</p> <p>dataset III:system C-100+Co (compound 100 in presence of SRC-1 coactivator) ; each file contains one main replica.</p>
Additional files for Lexa et al. HiC-TE publication
<p>Additional files for Lexa et al. HiC-TE publication</p> <p>Suplementary Figures</p> <p>HiC-TE manual</p> <p>Suplementary Tables</p> <p>PDF files with 6 complete sets of outputs, numbered by SRR ID and the name of output</p>
Code for APJAS publication - Numerical errors in ice microphysics parameterizations and their effects on simulated regional climate
<p>In this repository, we include the source codes for WRF microphysics parameterization used in the APJAS publication "Numerical errors in ice microphysics parameterizations and their effects on simulated regional climate"</p> <p>There are three WDM6 codes for simulations. The original WDM6 code (ORG) using parameter defined by Hong et al (2004), the revised WDM6 code (NEW) those revised by removing the numerical errors, and the additional WDM6 code (SEN) for sensitivity experiment adopting the column-shaped parameters.</p> <p>In supplement, several cloud-ice characteristics presented in the paper were induced in detail and compared with Hong et al (2004) and this study.</p>
Datasets used for Publication "Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds" - Geophysical Research Letters
<p>These files father the output data used in the figures published in the Geophysical Research paper:</p> <p><strong>Contribution of Non-Water Ices to Salinity and Electrical Conductivity in Ocean Worlds</strong></p> <p>One output file may be used for multiple figures, as indicated in the name of the Excel spreadsheet.</p>
Data set on public opinion on differentiation as policy choice
<p>The opinion poll has been conducted with the support of a Dalia Research GmbH. The aim was to involve a representative sample of citizens from all 27 EU countries and 4 non-EU countries (UK, Norway, Turkey, Ukraine). Data has collected through device agnostic surveys with responsive design for desktop, laptop, tablet and smartphone. It develops a set of eight specific questions – two horizontal and six targeted ones, two for each policy area addressed by the project (Economic governance and single market, foreign, security and defence policy, area of freedom, security and justice, including migration policy). The dataset produced on the basis of the selected questions includes demographics of respondents (age, gender, education, rural / urban status etc.).</p>
Dataset: The availability and completeness of open funder metadata - Case study for publications funded by the Dutch Research Council
<p>Data and code belonging to the manuscript: <strong>The availability and completeness of open funder metadata - Case study for publications funded by the Dutch Research Council </strong></p> <p><strong>Abstract:</strong><br> Research funders spend considerable efforts collecting information on outcomes of the research they fund. To help funders track publication output associated with their funding, Crossref initiated FundRef in 2013, enabling publishers to register funding information using persistent identifiers. However, it is hard to assess the coverage of funder metadata because it is unknown how many articles are the result of funded research and therefore should include funder metadata. </p> <p>In this paper we looked at 5,004 publications reported by researchers to be the result of funding by a specific funding agency: the Dutch Research Council NWO. Only 67% of these articles contain funding information in Crossref, with a subset acknowledging NWO as funder name and/or Funder IDs linked to NWO (53% and 45%, respectively). </p> <p>Web of Science (WoS), Scopus and Dimensions are all able to infer additional funding information from funding statements in the full text of the articles. Funding information in Lens largely corresponds to that in Crossref, with some additional funding information likely taken from PubMed. </p> <p>We observe interesting differences between publishers in the coverage and completeness of funding metadata in Crossref compared to proprietary databases, highlighting potential to increase the quality of open metadata on funding. </p> <p><strong>This dataset contains the following files:</strong></p> <ul> <li><strong>DOIs_unique_CR_Lens_Wos_Scopus_Dim.csv</strong><em> - </em>Dataset of unique DOIs (n= 5,004) with collected information from Crossref and presence/absence of funder information in Lens, Web of Science, Scopus and Dimensions </li> <li><strong>NWO_funder_names_Crossref.txt</strong><em> </em>- List of funder name variants for NWO found in Crossref</li> <li><strong>Google_Apps_Script.js</strong> - Google Apps Script for retrieving information from Crossref and processing Dimensions results </li> <li><strong>DOI_cleaning.R</strong><em> - </em>R script for cleaning DOIs</li> </ul>
Datasets for the publication " Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil"
<p>This repository contains the datasets for the publication "Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil".</p> <ul> <li><strong>Bias correction</strong></li> <li>Technical data of existing farms (ABBEólica) </li> <li>Bias correction factors at the farm level</li> </ul> <p> </p> <ul> <li><strong>Demand</strong></li> <li>Simulated wind and solar power</li> <li>Biomass, nuclear, and small hydropower generation in 2019</li> <li>Raw demand data</li> <li>Updated demand </li> </ul> <p> </p> <ul> <li><strong>Hydropower time series</strong></li> <li>Affluent Natural energy of run-of-rivers (fio d'água, in Portuguese) and reservoirs (reservatórios, in Portuguese), installed capacity, and maximal storage</li> </ul> <p> </p> <ul> <li><strong>Offshore wind farms</strong></li> <li>Locations, coordinates, water depth, available areas, water depth, distance to shore, technology,and maximal capacity;</li> <li>Code to estimate offshore wind farm capex and opex.</li> </ul> <p> </p> <ul> <li><strong>Results of Calliope model </strong></li> <li>capacity</li> <li>carrier_prod (power generation)</li> <li>storage</li> <li>costs</li> <li>emissions</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Data for signedMCRT publication
<p>Data for each figure in upcoming publication of Meshless Monte Carlo Radiation Transfer Method for Curved Geometries using Signed Distance Functions in the journal of biomedical optics.</p>
Terminus Traces for publication 'Ocean-forcing and glacier-specific factors drive differing glacier response across the 69 oN boundary, east Greenland' (Version 1)
<p>Dataset supporting publication 'Brough, S., Carr, J.R., Ross, N., Lea, J.M. (2023) Ocean-forcing and glacier-specific factors drive differing glacier response across the 69 <sup>o</sup>N boundary, east Greenland. J. Geophys. Res. Earth Surf. <a href="https://doi.org/10.1029/2022JF006857">https://doi.org/10.1029/2022JF006857</a>.'</p> <p>This dataset provides GIS ready shapefiles of mapped terminus traces for 24 east Greenland glaciers between 2013 and 2020 for the aforementioned publication. Data are provided in both geographic (EPSG: 4326; WGS84) and projected (EPSG:3413; NSIDC Sea Ice Polar Stereographic North) coordinate systems. As each terminus trace has metadata appended, including the unique path identifier, it is possible to directly and easily identify the original image used in the mapping process. Both shapefiles are compatible for ingestion into the Google Earth Digitisation Tool (GEEDiT) Reviewer (<a href="https://liverpoolgee.wordpress.com/">https://liverpoolgee.wordpress.com/</a>) for reviewing and sub-setting the dataset (see Lea, J.M. [2018] Earth Surf. Dynam. 6, 551–561. <a href="https://doi.org/10.5194/esurf-6-551-2018">https://doi.org/10.5194/esurf-6-551-2018</a>).</p> <p> </p> <p>When using this data product in a publication, please include the following citations:</p> <p>Brough, S., Carr, J.R., Ross, N., Lea, J.M. (2023). Terminus Traces for publication 'Ocean-forcing and glacier-specific factors drive differing glacier response across the 69 <sup>o</sup>N boundary, east Greenland' (Version 1) [Data set]. Zenodo. <a href="https://doi.org/10.5281/zenodo.6904219">https://doi.org/10.5281/zenodo.6904219</a>.</p> <p>Brough, S., Carr, J.R., Ross, N., Lea, J.M. (2023) Ocean-forcing and glacier-specific factors drive differing glacier response across the 69 <sup>o</sup>N boundary, east Greenland. J. Geophys. Res. Earth Surf. <a href="https://doi.org/10.1029/2022JF006857">https://doi.org/10.1029/2022JF006857</a>.</p>
Umbrella review data of colour-associated bioactive pigments found in fruit and vegetables, compared to placebo or low intakes, on human health outcomes relevant to public health
<p>This dataset comprises data extracted from 86 publications included in an umbrella review which compared the effect of colour-associated bioactive pigments found in fruit and vegetables (carotenoids, flavonoids, betalains and chlorophyll) on human health outcomes relevant to public health. Meta-analysed data from 83 systematic literature reviews were available for 17 different bioactive pigments spanning all colours of fruit and vegetables except green, with additional data from two randomised controlled trials and one cohort study for chlorophyll. This dataset represents 2,847 original research studies and data from over 37 million participants. There were 449 meta-analysed health outcomes extracted from the 83 systematic literature reviews. Extracted health outcomes were categorised according to pigment, comparator type, broad health outcome, study design, age group, source of pigment, risk of bias, and confidence in the estimated effect. Data extracted were dose, intervention duration, sample size, number of original studies, effect estimate, 95% confidence intervals, I2 statistics, publication bias and p-value. Rigorous analysis, including estimations of a common effect size, stratification of the evidence, study level sensitivity analyses and reporting on heterogeneity and potential biases, may be carried out using these data, to further evaluate the effect of colour-associated bioactive pigments in fruit and vegetables on human health.</p>
Impact of disease characteristics and knowledge on public risk perception of Zoonoses
<p>Zoonoses represent a global public health threat. Understanding lay perceptions of risk associated with these diseases can better inform proportionate policy interventions that mitigate their current and future impacts. While individual zoonoses (e.g. Bovine Spongiform Encephalopathy) have received scientific and public attention, we know little about how multiple zoonotic diseases vary relative to each other in lay risk perceptions. To this end, we examined public perceptions of eleven zoonoses across twelve qualitative attributes of risk among the UK public (n = 727, volunteer sample), using an online survey. We found that attribute ratings were predominantly explained via two basic dimensions of risk related to public knowledge and dread. We also show that, despite participants reporting low familiarity with most of the diseases presented, zoonoses were perceived as essentially avoidable. These findings imply that infection is viewed as dependent upon actions under personal control which has significant implications for policy development.</p>
AngleCam publication data (Methods in Ecology and Evolution, MEE)
<p>These datasets were the basis for the study Kattenborn et al. 2022 published in Methods in Ecology and Evolution (MEE).</p> <p>The dataset includes:<br> - leaf_angle_reference_data: The image data with corresponding leaf angle distributions derived from visual interpretation. Note, that not for each image reference data exists. The corresponding scripts will only select data with available labels.<br> - leaf_angle_predictions_canopy_crane: The predictions obtained using AngleCam for the image time series recorded at the canopy crane. The raw image data amounts to several hundreds of gigabytes and can be obtained from the corresponding author.<br> - environmental_variables: The environmental variables recorded at the Leipzig Canopy Crane recorded in 2021 in 10 minute intervals. The folders lak1*, lak2* and lak3* correspond to consecutive periods (lak1 was recorded before lak2 and so forth). These predictions can be merged according to their time stamp.</p> <p>Questions can be addressed to Teja Kattenborn: https://rsc4earth.de/authors/tkattenborn/</p> <p>The trained models and further ressources are available under: </p> <pre>https://doi.org/10.5281/zenodo.6812085</pre>
MELLODDY TUNER release v3 public data
<p>A public dataset from ChEMBL (v25) for MELLODDY TUNER release v3.</p> <p>Data extracted from ChEMBL (LICENSE attached), and processed with https://github.com/melloddy/MELLODDY-TUNER release v3.</p> <p>Data can be used for technical tests, template for your own dataset and machine learning with SparseChem (https://github.com/melloddy/SparseChem).</p> <p> </p>
data for an article about public expenditure and time in office
<p>The dataset offers data for a scientific article about public expenditure and time in power for 42 developing countries.</p>
Dataset for publication 'Automated computed tomography based parasitoid detection in mason bee rearings'
<p>Dataset corresponding to the publication <strong>Automated computed tomography based parasitoid detection in mason bee rearings </strong>published at PLOS One. This repository contains the training, validation and test data.</p>
Dataset for publication: "Empirical Characterization of Cable Effects on a Reference Lightning Impulse Voltage Divider"
<p>Dataset for publication: "Empirical Characterization of Cable Effects on a Reference Lightning Impulse Voltage Divider". Excel file contains the data for Figures 5 and 6.</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.