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18,658 results for “impacts”
Data for "Measuring Back: Bibliodiversity and the Journal Impact Factor brand. A Case study of IF-journals included in the 2021 Journal Citations Report."
<p>This is the open data for the preprint "Measuring Back: Bibliodiversity and the Journal Impact Factor brand. A Case study of IF-journals included in the 2021 Journal Citations Report."</p>
Tables and Data for "Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado"
<p>These are data sets and tables used in the paper "Synthesis of Satellite and Surface Measurements, Model Results, and FRAPPÉ Study Findings to Assess the Impacts of Oil and Gas Emissions Reductions on Maximum Ozone in the Denver Metro and Northern Front Range Region in Colorado" to be submitted to Earth and Space Science. The monitor site 2016 and 2017 counts files have gridded HYSPLIT back trajectory counts for the 4 highest ozone concentration days at each site, as described in the manuscript.</p>
Results: Modeling the impact of the Omicron infection wave in Germany
<pre>Results: Modeling the impact of the Omicron infection wave in Germany This repository contains results of a modeling study regarding the spread of SARS-CoV-2 VOC "Omicron" in Germany. ## Columns and values | column name | type | description EN | description DE | | -- | -- | -- | -- | | `infectious_period_both` | int | Mean infectious period (in days) for both variants | Mittlere Infektiositaetsperiode fuer beide Varianten (in Tagen) | | `omicron_latent_period` | int | Mean latent period of VOC Omicron (in days) | Mittlere Latenzzeit der VOC Omikron (in Tagen) | | `booster_reach` | str | Reach of the booster campaign | Reichweite der Auffrischkampagne | | `booster_VE` | str | Vaccine efficacy of the booster vaccination | Impfeffektivitaet der Auffrischimpfung | | `contact_reduction_scenario_id` | int | ID of the contact reduction scenario | ID des Kontaktreduktionsszenarios | | `contact_reduction_strength` | float | prefactor with which the contact modulation f(t) is multiplied | Vorfaktor, mit der die Kontaktmodulation f(t) waehrend der Kontaktreduktionsperiode skaliert wird | | `contact_reduction_start` | date (ISO 8601) | Date when contact reduction begins | Beginn der Kontaktreduktion | | `contact_reduction_end` | date (ISO 8601) | Date when contact reduction ends | Ende der Kontaktreduktion | | `relative_risk_hospitalization` | float | Relative risk (RR) of hospitalization after infection with Omicron as compared to infection with Delta | Relatives Risiko (RR) der Hospitalisierung nach Infektion mit Omicron gegenueber Infektion mit Delta | | `relative_risk_icu` | float | Relative risk (RR) of ICU admission after infection with Omicron as compared to infection with Delta | Relatives Risiko (RR) der Intensivpflichtigkeit nach Infektion mit Omicron gegenueber Infektion mit Delta | | `value_type` | str | Wich value is shown in the `value` column | Art des Wertes in der Spalte `value` | | `date` | date (ISO 8601) | Date associated with the modeling result given in column `value` | Datum assoziiert mit dem Modellergebnis des Wertes in der Spalte `value` | | `value` | int | Model result (rounded to nearest integer) | Modellergebnis (gerundet auf ganze Zahl) | Additional columns regarding combinations of plausible scenarios (rounded to nearest integer) and 180 stochastic simulations per parameter combination: | column name | type | description EN | description DE | | -- | -- | -- | -- | | `95_PI_lower` | int | 95% PI lower bound (rounded to nearest integer) | Untere Schranke des 95% PIs (gerundet auf ganze Zahl) | | `50_PI_lower` | int | 50% PI lower bound (rounded to nearest integer) | Untere Schranke des 50% PIs (gerundet auf ganze Zahl) | | `median` | int | median (rounded to nearest integer) | Median (gerundet auf ganze Zahl) | | `50_PI_upper` | int | 50% PI upper bound (rounded to nearest integer) | Obere Schranke des 50% PIs (gerundet auf ganze Zahl) | | `95_PI_upper` | int | 95% PI upper bound (rounded to nearest integer) | Obere Schranke des 95% PIs (gerundet auf ganze Zahl) | ### Values: `booster_reach` | value | description EN | description DE | | -- | -- | -- | | `md` | medium booster campaign reach (80% of those that received full vaccination in 2021 receive booster vaccination) | Medium, 80% derjenigen, die in 2021 vollstaendig geimpft wurden, erhalten eine Auffrischimpfung | | `hi` | high booster campaign reach (100% of those that received full vaccination in 2021 receive booster vaccination) | Hoch, 100% derjenigen, die in 2021 vollstaendig geimpft wurden, erhalten eine Auffrischimpfung | | `hi-and-90perc-2dose` | 100% receive booster vaccination and vaccine uptake of first immunization suddenly increases to 90% in Jan 2022 | 100% erhalten Auffrischimpfung und Impfquote der Erstimmunisierung erreicht schnell 90% im Januar 2022 | ### Values: `booster_VE` | value | description EN | description DE | | -- | -- | -- | | `lo` | low booster vaccine efficacy (assumption: booster protects as well against infection as 2nd dose) | Niedrige Impfeffektivitaet (Auffr. schuetzt genauso gut vor Infektion wie 2 Dosen) | | `hi` | high booster vaccine efficacy (assumption: booster protects as well against infection as against symptomatic disease) | Hohe Impfeffektivitaet (Auffr. schuetzt genauso gut vor Infektion wie vor symptomatischer Erkrankung) | ### Values: `value_type` | value | description EN | description DE | | -- | -- | -- | | `inc` | incidence (absolute number of new reported cases per day) | Inzidenz (Zahl der gemeldeten Neuinfektion an diesem Tag, absolut) | | `hsp` | hospitalization incidence (absolute number of new hospital admissions per day) | Hospitalisierungsinzidenz (Zahl der gemeldeten Neuhospitalisierungen an diesem Tag, absolut) | | `icu` | total number of patients in ICUs | Gesamtzahl der intensivpflichtigen Patient:innen | ## License Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).</pre>
Impact data on GFRP plate
<p>The files contain impact data registered on 0 degree GFRP plate with 4 acoustically coupled bond locations and single FBG.</p> <p>Type of data: matlab files</p> <p>language: english</p> <p> </p> <p>The impact locations and details will be included in an article which will be prepared and updated here</p> <p> </p> <p>The measurements were conducted under the project “Guided waves based reference-free SHM using fiber Bragg grating sensors (REF-FREE)” (2020/39/D/ST8/00188) granted by National Science Center, Poland.</p>
Data for: Strong effects of food quality on host life history do not scale to impact parasitoid efficacy or life history
<p><span>Parasitoids are small insects, (e.g., small wasps or flies) that reproduce by laying eggs on or within host arthropods. Parasitoids make up a large proportion of the world's biodiversity and are popular agents of biological control. Idiobiont parasitoids paralyze their hosts upon attack and thus are expected to only target hosts large enough to support offspring development. Host resources generally impact host attributes and life histories including size, development, and life span. Some argue slow host development in response to resource quality increases parasitoid efficacy (i.e., a parasitoid's ability to successfully reproduce on or within a host) due to longer host exposure to parasitoids. However, this hypothesis is not always supported and does not consider variation in other host traits in response to resources that may be important for parasitoids (e.g., variation in host size is known to impact parasitoid efficacy). In this study, we test whether trait variation within host developmental stages in response to host resources is more important for parasitoid efficacy and life histories than trait variation across host developmental stages. We exposed seed beetle hosts raised on a food quality gradient to mated female parasitoids and measured the number of hosts parasitized and parasitoid life history traits at the scale of host stage- and age-structure. Our results suggest host food quality does not cascade to impact idiobiont parasitoid life histories despite large food quality effects on host life history. Instead, variation in host life histories across host developmental stages better predicts parasitoid efficacy and life histories, suggesting finding a host in a specific instar is more important for idiobiont parasitoids than finding hosts on or within higher quality resources.</span></p>
Data for: Heavy metal pollution impacts soil bacterial community structure and antimicrobial resistance at the Birmingham 35th Avenue Superfund Site
<p>The data in this archive are the results of a study on the impact of heavy metals (HMs) on the soil microbiota of an urban Superfund site in Alabama. HMs are known to modify bacterial communities both in the laboratory and in situ. Consequently, soils in HM-contaminated sites such as the U.S. Environmental Protection Agency (EPA) Superfund sites are predicted to have altered ecosystem functioning, with potential ramifications for the health of organisms, including humans, that live nearby. Further, several studies have shown that heavy metal-resistant (HMR) bacteria often also display antimicrobial resistance (AMR), and therefore HM-contaminated soils could potentially act as reservoirs that could disseminate AMR genes into human-associated pathogenic bacteria. To explore this possibility, topsoil samples were collected from six public locations in the zip code 35207 (the home of the North Birmingham 35th Avenue Superfund Site) and in six public areas in the neighboring zip code, 35214. 35027 soils had significantly elevated levels of the HMs As, Mn, Pb, and Zn, and sequencing of the V4 region of the bacterial 16S rRNA gene revealed that elevated HM concentrations correlated with reduced microbial diversity and altered community structure. While there was no difference between zip codes in the proportion of total culturable HMR bacteria, bacterial isolates with HMR almost always also exhibited AMR. Metagenomes inferred using PICRUSt2 also predicted significantly higher mean relative frequencies in 35207 for several AMR genes related to both specific and broad-spectrum AMR phenotypes. Together, these results support the hypothesis that chronic HM pollution alters the soil bacterial community structure in ecologically meaningful ways and may also select for bacteria with increased potential to contribute to AMR in human disease.</p>
The State of Open Science in Indonesia: a preliminary analysis of digitalisation's impact on science regimes
<p>This presentation is a discussion on Open Science in Indonesia from the field of the Sociology of Knowledge Approach to Discourse. Boasting the largest number of Open Access Journals in the world, and steadily capitalising on a burgeoning technological economy, Indonesia would seem ripe for a science and knowledge-sharing renaissance. In the past five years, science and education institutions have been consolidated into one “super entity”, the Indonesian National Research and Innovation Agency (BRIN), stirring the imagination for a publicly funded and centralised open access system for indexing, storing and sharing scientific research, data and results. Further, on the back of the 2022 G20 Presidency, Indonesia holds the 2023 ASEAN Presidency, which provides it with agenda setting powers towards regional science and technology cooperation. The potential is high for Open Science, and thus the global sustainable development agenda, to find precedence in Indonesia’s policymaking discourse. Interviews conducted with BRIN staff, professors and PhD Candidates of leading Indonesian universities, think-tank policy advisers, and grass roots organisers illuminate common challenges to implementation of Open Science policies and the Open Science mindset. This discussion addresses where Open Science sits in Indonesia’s development agenda, where there are promises, where there are challenges and what the role of CSIS is in facilitating the transition to Open Science.</p>
Data and Code for : Transport and environmental impact of ash induced by the Hunga Tonga- Hunga Ha'apai volcanic eruption
<p>The dataset describes the atmospheric information and oceanic responses to the eruption of Hunga Tonga-Hunga Ha'apai (HTHH) Volcano. Satellite observations captured the direct impact of volcanic ash on modifying the landscape, including the transport and profile of aerosol content captured respectively by Suomi and CALIPSO, chlorophyll from the reanalyzed satellite products. </p>
Underlying data of Impact of shipping temperature on cell viability and T cell responses to bacterial antigens
<p><strong>Abstract</strong></p> <p><strong>Background: </strong>Interferon-γ (IFN-γ) secretion by T cells is a key correlate of immune protection against many pathogens including tuberculosis and the neglected tropical disease melioidosis. Clinical studies in tropical regions of immune responses to pathogens and vaccine monitoring studies require the collection of samples in resource-limited rural areas and subsequent shipment to central laboratories for downstream assays and long-term storage. Here, we studied the impact of two different shipping temperatures on the viability, composition and function of peripheral blood mononuclear cells (PBMC) using multi-colour flow cytometry and IFN-g enzyme-linked immunospot assay (IFN-g ELISpot), in order to provide guidance on sample shipment conditions for future clinical studies.</p> <p><strong>Methods</strong>: Paired peripheral blood mononuclear cell (PBMC) samples from recovered melioidosis patients were stored in liquid nitrogen (-196°C) and then shipped from Bangkok, Thailand to Oxford, UK at either -80°C (dry ice) or -196°C (dry shipper). After thawing, cell viability and composition were assessed by flow cytometry and antigen specific responses to <em>Burkholderia pseudomallei</em> (BP) were measured using IFN-g ELISpot.</p> <p><strong>Results</strong>: We observed modest lowering of viability in the majority of samples and a reduction in IFN-g responses to BP which correlated to a decrease of monocytes and NK cells in samples shipped at -80°C compared to -196°C. Despite being lower in magnitude antigen-specific responses remained detectable in the majority of samples.</p> <p><strong>Conclusions:</strong>Here we demonstrate that shipment of cryopreserved PBMC at -196°C has a benefit on cell viability, recovery and T cell responses to bacterial antigens, although useful information can still be obtained from samples shipped at -80°C, thus providing important guidance for sample management in future clinical trials.</p>
Open datasets used in the analysis of impact of European Union Funding Programmes (Framework Programmes).
<p>This repository will hold datasets used in the various analysis on results, achievements and impact of European Union Funding Programmes (Framework Programmes:, FP). It supports the objective of using openly available dataset to study the results of the FP funding.</p> <p>The repository will be periodically updated with new datasets and links to the analysis.</p> <p><strong>Disclaimer:</strong></p> <p><em>The views expressed in this paper are the author’s. They do not reflect the views or official positions of the European Commission or the European Research Council.</em></p> <p> </p> <p><strong>List of datasets included :</strong></p> <p>1. dataset for the analysis: <a href="https://data.europa.eu/doi/10.2777/235579">Contribution of the Framework Programmes to IPCC: Insights from the References of IPCC Reports</a><em><strong> </strong></em></p> <p> The analysis is an update of an earlier report titled <em><strong><a href="https://data.europa.eu/doi/10.2777/928125">Informing global climate action: Contribution of the Framework Programmes (FP7 and H2020) to recent IPCC reports</a></strong></em></p> <p>the dataset is provided in json_l format </p> <p> </p>
Architecture-based Uncertainty Impact Analysis to ensure Confidentiality - Data Set
<p>Data set of the Paper "Architecture-based Uncertainty Impact Analysis to ensure Confidentiality". For more information, please see the README.md. For more information please visit https://abunai.dev</p>
Impact hammer test of an Aluminium 6082 T6 plate, 260 x 246 x 1.5 mm, free boundary conditions
<p>Plate data</p> <p>------------</p> <p>E = 70 GPa</p> <p>ν = 0.33</p> <p>ρ = 2700 kg/m^3</p> <p>h = 1.50 mm (±0.01mm)</p> <p>width = 246 mm</p> <p>length = 260 mm</p> <p> </p> <p>Experiment description</p> <p>-----------------------------</p> <p>- a Cartesian coordinate system (XYZ) is defined in one of the corners of the plate, with XY laying on the mid-plane of the plate;</p> <p>- the X axis is aligned with the length direction;</p> <p>- the Y axis is aligned with the width direction;</p> <p>- the free boundary conditions are approximated experimentally by means of soft cotton wires, and the plate is tested while hanging on the cotton wires that are fixed at two corners, by means of adhesive tapes;</p> <p>- a mesh of 5 by 5 points is defined on the plate, with the following coordinates (in meters):</p> <pre><code class="language-python">1, [0., 0.] 2, [0.065, 0.] 3, [0.13, 0.] 4, [0.195, 0.] 5, [0.26, 0.] 6, [0., 0.0615] 7, [0.065, 0.0615] 8, [0.13, 0.0615] 9, [0.195, 0.0615] 10, [0.26, 0.0615] 11, [0., 0.123] 12, [0.065, 0.123] 13, [0.13, 0.123] 14, [0.195, 0.123] 15, [0.26, 0.123] 16, [0., 0.1845] 17, [0.065, 0.1845] 18, [0.13, 0.1845] 19, [0.195, 0.1845] 20, [0.26, 0.1845] 21, [0., 0.246] 22, [0.065, 0.246] 23, [0.13, 0.246] 24, [0.195, 0.246] 25, [0.26, 0.246]</code></pre> <p>- the accelerometer is fixed at point 5;</p> <p>- the time-response to the hammer impact is obtained for each point by hitting with the impact hammer at each point;</p> <p>- three time-response data points are obtained at each point;</p> <p>- for all measurements a total of 2^15 = 32768 time samples are obtained, corresponding to a time interval of 0 <= t <= 3.840 s, and a minimum sampling rate of 8000 Hz. </p> <p> </p> <p>Details about the hardware</p> <p>----------------------------------</p> <p>1) Data Acquisition Module NI 9234</p> <p>With four input channels simultaneously acquire at rates up to 51.2 kS/s (kilosamples per second). The operating temperature limits are from -40 °C to 70 °C, maximum of 5 g vibration, and maximum of 50 g shock.</p> <p>2) Impact hammer with load cell 086C02</p> <p>The first channel corresponds to the impact hammer load cell measurements, in Newtons [N]. The hardware sensitivity (+-15%) is 50 mV/lbf or 11.2 mV/N.</p> <p>3) Unidirectional Accelerometer 352A24</p> <p>The second channel corresponds to the accelerometer measurements, in gravity units [g], being 1 gravity unit = 9.81 m/s^2. The hardware sensitivity (+-10%) is 100 mV/g or 10.2 mV/(m/s^2).</p> <p> </p> <p> </p> <p>Reading the experimental data</p> <p>--------------------------------------</p> <p>I use the https://nptdms.readthedocs.io/en/stable/quickstart.html module to read the experimental data saved with the "*tdms" extension. The following example illustrates how to read the data at all the points:</p> <pre><code class="language-python">from nptdms import TdmsFile # reading from the experimental results # - the hammer impact force in [N] as a function of time from df.iloc[:, 0] # - the accelerations in [g] as a function of time from df.iloc[:, 1] times = {} hammer_impacts = {} accelerometer = {} for point in usedpoints: tdms = TdmsFile('WaveForms Point%02d.tdms' % point) df = tdms.as_dataframe() df.index = df.index/df.shape[0] * tmax times[point] = df.index hammer_impacts[point] = df.iloc[:, 0] accelerometer[point] = df.iloc[:, 1]</code></pre> <p> </p> <p> </p> <p>Plate model</p> <p>----------------</p> <p>In file "plate_model.py" you can find a validated vibration model of the plate, based on the Python package:</p> <blockquote> <p>Castro, S.G.P. Supporting code for Stability and Analysis of Structures II, Department of Aerospace Structures and Materials, Delft University of Technology, 2023. <a href="https://doi.org/10.5281/zenodo.2583004">DOI: 10.5281/zenodo.2583004</a>.</p> </blockquote>
Impact of Schistosomiasis, Soil-Transmitted Helminthiasis and Anaemia on preschool and school-age children's health condition: post treatment predictive mapping in Benin Republic.
<p>This dataset provides information about the epidemiology of schistosomiasis, soil transmitted helminthiasis and anemia alongside malnutrition among preschool and school age children in Ouake and Bembereke districts of donga and borgou departments in Benin republic.</p>
Mapping an Impact Network for Transformational Change in CLEVER - Stakeholder Database
<p>How does international trade in agricultural and forest products affect biodiversity? CLEVER (Creating leverage to enhance biodiversity outcomes of global biomass trade) investigates this question, particularly for animal feed, energy crops, tropical timber and aquacultures.<br> <br> This stakeholder database has been created in the CLEVER project to provide a comprehensive but not exhaustive list of stakeholders who may have an interest in CLEVER. The database includes information such as names and types of organisations and data about their role in the value chains concerned (timber and soy in Brazil, timber in Cameroon, fishmeal and oil globally). Particular attention has been paid to the involvement of local communities and vulnerable groups directly or indirectly affected by trade. </p>
Data sets for heat generation and associated contact temperature during an oblique impact of a deformable particle and a rigid substrate
<p>This dataset contains essential data from the Finite Element Method model predicting heat generation due to friction and plastic deformation during the oblique impact of a deformable particle and a rigid substrate. Part of this data was processed and published in a journal article (<a href="https://doi.org/10.1016/j.powtec.2023.118481">https://doi.org/10.1016/j.powtec.2023.118481</a>). The following is the description of the data files and the associated Figure in the original paper.</p> <p>‘Heat_Elast_Vt.xlsx’ and ‘Temp_Elast_Vt.xlsx’ data for the evolution of heat and nodal contact temperature, respectively, for varying tangential velocity. Data was used in Figs. 7a and 7b in the associated paper</p> <p>‘Heat_Vt.xlsx’ and Heat_Vn.xlsx’ data for the evolution of heat for various tangential velocities and normal velocities, respectively. Data was used in Figs. 8a and 8b in the associated paper.</p> <p>‘Heat_YM.xlsx’ and ‘Temp_YM.xlsx’ data for the evolution of heat and nodal contact temperatures, respectively, for varying Young’s moduli. Data was used in Figs. 9 and 10 in the associated paper.</p> <p>‘Heat_YS.xlsx’ and ‘Temp_YS.xlsx’ data for the evolution of heat and nodal contact temperatures for varying yield strengths. Data was used in Figs. 11 and 12 in the associated paper.</p> <p>‘Heat_Den.xlsx’ and ‘Temp_Den.xlsx’ data for heat and nodal contact temperature evolution, respectively, for varying yield strengths. Data was used in Figs. 13 and 14 in the associated paper.</p> <p> ‘Temp_TC.xlsx’ data for the evolution of nodal contact temperatures for varying thermal conductivities. Data was used in Fig. 15 in the associated paper.</p> <p>‘Temp_HC.xlsx’ data for the evolution of nodal contact temperatures for varying specific heat capacities. Data was used in Fig. 16 in the associated paper.</p>
GLOBAL WARMING: FEATURES AND IMPACT ON LIFE IN MEGACITIES
<p>The article considers one of the key factors affecting the climate - human activity. First of all, it is associated with emissions of carbon dioxide into the atmosphere, which creates a kind of greenhouse above the surface of the planet. The second factor is related to excess solar energy, which has accumulated over millions of years in oil, gas, coal, peat and other fossil hydrocarbons. Particular attention in the study is paid to those problems and methods of solution that can help or weaken global warming.</p>
A Long-term Experimental Investigation on the Impact of Rainfall on Short 6G D-band Links
<p>Data attached to Radio Science publication "A Long-term Experimental Investigation on the Impact of Rainfall on Short 6G D-band Links"</p>
Data set for the manuscript "Development of Hydropower and the Environmental Impacts of Hydroelectric Dam Construction: A Case Study of the Three Gorges Dam"
<p>This document provides the data set supplementary to the manuscript "Development of Hydropower and the Environmental Impacts of Hydroelectric Dam Construction: A Case Study of the Three Gorges Dam"</p> <p>Data content: Tables 1-3</p> <ul> <li>Table 1. The global annual data of GDP, surface temperature anomalies, carbon dioxide emissions and different kinds of renewable energy during 2000-2020. The renewable energy includes hydropower, wind, solar, geothermal, biomass and others (unit: TWh).</li> <li>Table 2. The annual mean temperature, CO2 emissions, and renewable energy data in China from 2000 to 2020. The renewable energy data include hydro, solar, and wind electricity generation (unit: kWh).</li> <li>Table 3. Annual variation of precipitation and biodiversity in the TGD area. Annual mean precipitation data over China and the TGD are provided. Biodiversity data include the number of Yangtze Finless Porpoise, Carp Egg and Larvae, and the number of spawners in spawning ground for Acipenser_sinensis.</li> </ul> <p> </p>
Data for Numerical Study on the Impact of Large Air Purifiers, Physical Distancing, and Mask Wearing in Classrooms
<p>This is a reference case setup to re-generate all the data for the paper titled "Numerical Study on the Impact of Large Air Purifiers, Physical Distancing, and Mask Wearing in Classrooms"<br> </p>
Size-selective harvesting impacts learning and decision-making in zebrafish
<p><span>Size-selective harvesting common to fisheries is known to evolutionarily alter life-history and behavioural traits in exploited fish populations. Changes in these traits may in turn modify learning and decision-making abilities through energetic trade-offs with brain investment that can vary across development or via correlations with personality traits. We examined the hypothesis of size-selection-induced alteration of learning performance in three selection lines of zebrafish (<em>Danio</em> <em>rerio</em>) generated through intensive harvesting for large, small and random body-size for five generations followed by no further selection for ten generations that allowed examining evolutionarily fixed outcomes. We tested associative learning ability throughout ontogeny in fish groups using a colour-discrimination paradigm with a food reward, and the propensity to make group decisions in an associative task. All selection lines showed significant associative abilities that improved across ontogeny. The large-harvested line fish showed a significantly slower associative learning speed as subadults and adults than the controls. We found no evidence of memory decay as a function of size-selection. Decision-making speed did not vary across lines, but the large-harvested line made faster decisions during the probe trial. Collectively, our results show that size-selective harvesting evolutionarily alters associative and decision-making abilities in zebrafish, which could affect resource acquisition and survival in exploited fish populations. </span></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.