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.
18,658
datasets available to search
ShareScore release 0.9.0
Dataset results
18,658 results for “impacts”
Local Indicators of Climate Change Impacts reported by the Tuareg of Illizi (Algeria)
<p>The dataset reports the Local Indicators of Climate Change Impacts mentioned during 19 interviews and 3 focus groups with members of the Tuareg community of Illizi (Algeria). The dataset includes reports events important to the local timeline and observations of atmospheric changes including seasonal, precipitation, temperature, and biodiversity changes.</p>
Data from: Impact of human foraging on tree diversity, composition and abundance in a tropical rainforest
<p>These are summarised plot data from fifteen 40 m by 40 m sample plots established in Oban Division of Cross River National Park, Nigeria, between 23rd August 2019 and 9th September 2019. We have also included data summaries and RStudio codes used for analysis and generating results for the manuscript entitled: "Impact of human foraging on tree diversity, composition and abundance in a tropical rainforest", submitted for publication as an original research article in Biotropica. All data and R code required to generate the results as shown in the manuscript have been included. Complete tree species and plot data can be accessed at https://forestplots.net/.</p>
Data for "Impact of Gaussian transformation on cloud cover data assimilation for historical weather reconstruction"
<p>This dataset contains the simulation results in "Impact of Gaussian transformation on cloud cover data assimilation for historical weather reconstruction".</p>
Fig. 4 in An assessment of potential distribution and climate change impacts on a critically endangered primate, the Delacour's langur
Fig. 4. Occurrence records of the Trachypithecus francoisi group based on previous research studies (Nadler et al., 2003; Workman, 2010a; Ebenau et al., 2011; Hendershott et al., 2016; Blair et al., 2021).
Fig. 3 in An assessment of potential distribution and climate change impacts on a critically endangered primate, the Delacour's langur
Fig. 3. Predicted distribution of climatically suitable habitat for the Delacour's langur under a range of different future climate change scenarios: A, MIROC6 models; B, CNRM-ESM2-1 models; C, IPSL-CM6A-LR models.
Fig. 2 in An assessment of potential distribution and climate change impacts on a critically endangered primate, the Delacour's langur
Fig. 2. Potential current distribution of the Delacour's langur generated from Maxent based on eight uncorrelated WorldClim bioclimatic variables.
Fig. 1 in An assessment of potential distribution and climate change impacts on a critically endangered primate, the Delacour's langur
Fig. 1. Occurrence records of the Delacour's langur derived from previous research studies (Nadler & Long, 2001; Nadler et al., 2003; Workman, 2010b; Ebenau et al., 2011; Wojciechowski, 2013; Nadler, 2015; Hoang & Dung, 2016; Linh et al., 2019; Nguyen et al., in press) and our field surveys.
Higher temperature variability in deforested mountain regions impacts the competitive advantage of nocturnal species
<p>Deforestation is a major contributor to biodiversity loss, yet the impact of deforestation on daily microclimate variability and its implications for species with different daily activity patterns remain poorly understood. Using a recently developed microclimate model, we investigated the effects of deforestation on the daily temperature range (DTR) in low-elevation tropical areas and high-elevation temperate areas. Our results show that shade loss due to deforestation substantially increases DTR in these areas, suggesting a potential impact on species interactions. To test this hypothesis, we studied the competitive interactions between nocturnal burying beetles and all-day active blowfly maggots in forested and deforested habitats in Taiwan. We show that deforestation leads to increased DTR at higher elevations, which enhances the competitiveness of blowfly maggots during the day and leads to a higher failure rate of carcass burial by the beetles at night. Thus, deforestation-induced temperature variability not only modulates exploitative competition between species with different daily activity patterns but also likely exacerbates the negative impacts of climate change on nocturnal organisms. Our study highlights the need to protect forests, especially in areas where deforestation can greatly alter temperature variability, in order to prevent potential adverse effects on species interactions and their ecological functions.</p>
Dataset for paper "Marked impacts of pollution mitigation on crop yields in China"
<p>"corn.csv", "winterwheat.csv" and "midlatepaddy.csv" report historical crop yield (unit: kg/hectare)of corn, winter wheat and single cropping rice in China. <br> "regression.ipynb" contains python code to (i) derive the sensitivity of crop yield to climate and pollution variables (ii) compare predicted yield vs. observed yield (iii) calculate the relative contribution of individual climate and pollution variables to inter-annual variations of crop yield. Here we provide the complete datasets for corn in file “organized_data_corn.csv”, which includes air temperature at 2m (t2m), precipitation (tp), aerosol optical depth (aod) and surface ozone (o3) for plant season (plant), growing season (mid) and harvest season (harvest). Please contact us if you are interested in datasets of other two crop species.</p>
The impact of ice sheet geometry on meltwater ingress and reactive solute transport in sedimentary basins
<p> We investigate the effect of ice sheet geometry on groundwater flow patterns and meltwater ingress in a hypothetical sedimentary basin. The simulation results indicate that meltwater ingress is much greater in 3D domains with a relatively narrow ice sheet extent compared to a wide ice sheet, or a simplified 2D model. In high permeability units (HPUs), the simulated meltwater penetration depth can reach up to 750 m in 3D domains compared to 400 m in a comparable 2D domain. In low permeability units (LPUs), very limited meltwater penetration occurs, indicating that ice sheet geometry and model dimensionality do not substantially affect water flow in these units. A conservative tracer, with a source located at a depth of 500 meters in both HPUs and LPUs, illustrates that solutes can be transported to greater depths in HPUs for a narrow ice lobe scenario, in comparison to a wide ice sheet or the 2D approach. Tracer transport in LPUs is unaffected by ice sheet geometry. Similarly, simulation results indicate that the ingress of dissolved oxygen (O<sub>2</sub>) into HPUs is most substantial below a narrow ice lobe, while O<sub>2</sub> ingress into LPUs is not affected by ice sheet geometry. The numerical experiments indicate that 3D analysis will give more comprehensive results for flow patterns and reactive solute transport subjected to glaciation/deglaciation cycles in the case of a narrow ice lobe, but also suggest that a 2D approach might provide an adequate representation for the case of a relatively wide ice sheet.</p>
Results: Modeling the impact of the Omicron infection wave in Germany
<p># Modeling the impact of the Omicron infection wave in Germany</p> <p>This repository contains results of a modelling study regarding the spread of SARS-CoV-2 VOC "Omicron" in Germany.</p> <p>## Columns and values</p> <p>| column name | type | description EN | description DE |<br> | -- | -- | -- | -- |<br> | `infectious_period_both` | int | Mean infectious period (in days) for both variants | Mittlere Infektiositaetsperiode fuer beide Varianten (in Tagen) |<br> | `omicron_latent_period` | int | Mean latent period of VOC Omicron (in days) | Mittlere Latenzzeit der VOC Omikron (in Tagen) |<br> | `booster_reach` | str | Reach of the booster campaign | Reichweite der Auffrischkampagne |<br> | `booster_VE` | str | Vaccine efficacy of the booster vaccination | Impfeffektivitaet der Auffrischimpfung |<br> | `contact_reduction_scenario_id` | int | ID of the contact reduction scenario | ID des Kontaktreduktionsszenarios |<br> | `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 |<br> | `contact_reduction_start` | date (ISO 8601) | Date when contact reduction begins | Beginn der Kontaktreduktion |<br> | `contact_reduction_end` | date (ISO 8601) | Date when contact reduction ends | Ende der Kontaktreduktion |<br> | `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 |<br> | `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 |<br> | `value_type` | str | Wich value is shown in the `value` column | Art des Wertes in der Spalte `value` |<br> | `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` |<br> | `value` | int | Model result (rounded to nearest integer) | Modellergebnis (gerundet auf ganze Zahl) |</p> <p>Additional columns regarding combinations of plausible scenarios (rounded to nearest integer) and 180 stochastic simulations per parameter combination:</p> <p>| column name | type | description EN | description DE |<br> | -- | -- | -- | -- |<br> | `95_PI_lower` | int | 95% PI lower bound (rounded to nearest integer) | Untere Schranke des 95% PIs (gerundet auf ganze Zahl) |<br> | `50_PI_lower` | int | 50% PI lower bound (rounded to nearest integer) | Untere Schranke des 50% PIs (gerundet auf ganze Zahl) |<br> | `median` | int | median (rounded to nearest integer) | Median (gerundet auf ganze Zahl) |<br> | `50_PI_upper` | int | 50% PI upper bound (rounded to nearest integer) | Obere Schranke des 50% PIs (gerundet auf ganze Zahl) |<br> | `95_PI_upper` | int | 95% PI upper bound (rounded to nearest integer) | Obere Schranke des 95% PIs (gerundet auf ganze Zahl) |</p> <p>### Values: `booster_reach`</p> <p>| value | description EN | description DE |<br> | -- | -- | -- |<br> | `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 |<br> | `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 |<br> | `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 | </p> <p><br> ### Values: `booster_VE`</p> <p>| value | description EN | description DE |<br> | -- | -- | -- |<br> | `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) |<br> | `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) |</p> <p>### Values: `value_type`</p> <p>| value | description EN | description DE |<br> | -- | -- | -- |<br> | `inc` | incidence (absolute number of new reported cases per day) | Inzidenz (Zahl der gemeldeten Neuinfektion an diesem Tag, absolut) |<br> | `hsp` | hospitalization incidence (absolute number of new hospital admissions per day) | Hospitalisierungsinzidenz (Zahl der gemeldeten Neuhospitalisierungen an diesem Tag, absolut) |<br> | `icu` | total number of patients in ICUs | Gesamtzahl der intensivpflichtigen Patient:innen |</p> <p>## License</p> <p>Licensed under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).<br> </p>
Supplementary material 1 from: Pontoppidan M, Nachman G (2013) Spatial Amphibian Impact Assessment – a management tool for assessment of road effects on regional populations of Moor frogs (Rana arvalis). Nature Conservation 5: 29-52. https://doi.org/10.3897/natureconservation.5.4612
Full model description following the protocol suggested by Grimm et al. (2006, 2010) and model parameterisation. (doi: 10.3897/natureconservation.5.4612.app). File format: Adobe PDF document (pdf).:
Supplementary data: Modelling of future changes in seasonal snowpack and impacts on summer low flows in Alpine catchments
<p>The files in this record represent supplementary data for the article titled “Modelling of future changes in seasonal snowpack and impacts on summer low flows in Alpine catchments” in Water Resources Research. The files contain simulations of the HBV rainfall-runoff model for 14 alpine catchments in Switzerland. The model simulated different water balance components (such as runoff, snow water equivalent and evapotranspiration) for the reference period 1980-2009 and the three scenario periods (2020-2049, 2045-2074 and 2070-2099) using the A1B emission scenario.</p>
Data from: The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles
<p>This is the raw data behind the publication: </p> <p><strong>The State of OA: A large-scale analysis of the prevalence and impact of Open Access articles.</strong></p> <p>Despite growing interest in Open Access (OA) to scholarly literature, there is an unmet need for large-scale, up-to-date, and reproducible studies assessing the prevalence and characteristics of OA. We address this need using oaDOI, an open online service that determines OA status for 67 million articles. We use three samples, each of 100,000 articles, to investigate OA in three populations: 1) all journal articles assigned a Crossref DOI, 2) recent journal articles indexed in Web of Science, and 3) articles viewed by users of Unpaywall, an open-source browser extension that lets users find OA articles using oaDOI. We estimate that at least 28% of the scholarly literature is OA (19M in total) and that this proportion is growing, driven particularly by growth in Gold and Hybrid. The most recent year analyzed (2015) also has the highest percentage of OA (45%). Because of this growth, and the fact that readers disproportionately access newer articles, we find that Unpaywall users encounter OA quite frequently: 47% of articles they view are OA. Notably, the most common mechanism for OA is not Gold, Green, or Hybrid OA, but rather an under-discussed category we dub Bronze: articles made free-to-read on the publisher website, without an explicit Open license. We also examine the citation impact of OA articles, corroborating the so-called open-access citation advantage: accounting for age and discipline, OA articles receive 18% more citations than average, an effect driven primarily by Green and Hybrid OA. We encourage further research using the free oaDOI service, as a way to inform OA policy and practice.</p>
Multidimensional impact assessment of a large collection of books using PlumX: methodology, technical limitations and indicators analysis [Complementary material to manuscript]
<p>The main purpose of this macro-study is to shed light on the broad impact of books. For this purpose, the impact a very large collection of books (more than 200,000) has been analysed by using PlumX, an analytical tool providing a great number of different metrics provided by various tools. Furthermore, the study focuses on the evolution of the most significant measures and indicators over time. The results show usage counts in comparison to the other metrics are quantitatively predominant. Catalogue holdings and reviews represent a book’s most characteristic measures deriving from its increased level of impact in relation to prior results. Our results also corroborate the long half-life of books within the scope of all metrics, excluding views and social media. Despite of some disadvantages, PlumX has proved to be a very helpful and promising tool for assessing the broad impact of books, especially because of how easy it is to enter the ISBN directly as well as its algorithm to aggregate all the data generated by the different ISBN variations.</p>
Figure 9. Classification accuracy regardless the ethnic group (Total accuracy 75%)-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network
<p>Our experiments show that, the impact of ethnic group on the accuracy of emotions<br> recognition is a positive where the accuracy of emotion recognition considering ethnic group is<br> 83.3% as shown in Figure 8, and we got 75% of accuracy regardless ethnic group as shown in<br> Figure 9.</p>
Figure 8. Classification accuracy of emotions considering the ethnic group-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network
<p>To study the accuracy of emotion recognition for our approach regardless the ethnic group<br> we used 108 images for the training representing six emotions of six persons. For testing, we used<br> 36 images representing six emotions of six persons.<br> On the other hand, to study the accuracy of emotion recognition for our approach<br> considering the ethnic group we used 36 images for training for each ethnic group representing six<br> emotions of six persons, and test the classifier by using 12 images representing six emotions of six<br> persons.</p>
Figure 1 in Osteoderm distribution has low impact on the centre of mass of stegosaurs
Figure 1. The CAD models of Kentrosaurus (top) and Stegosaurus (bottom). Kentrosaurus: main part depicts osteoderms (red) in distribution as reconstructed by Janensch (1925) ("starting configuration" model); scale bar = 1 m. Smaller versions below the tail depict other arrangements with more anterior COM: "hip spike to shoulder" (gold), "all trunk to neck" (green), "all to neck" (light blue), and with more posterior COM: "all tail to tip" (lilac). Colours correspond to dots marking COM positions of all model variants; black dot corresponds to animal without osteoderms. Stegosaurus: red osteoderms are known from fossil "Sarah"; pink plate is reconstructed. Dots marking COM positions: black – without osteoderms, red – with osteoderms, dark blue – with osteoderms and additional shoulder spike. Enlarged inset scale bars for both models = 10 cm.
Group-level trait and individual performance: the impact of in-nest activity on food recruitment in ants
<p>Dataset, R and Python scripts corresponding to the results displayed in the article "Group-level trait and individual performance: the impact of in-nest activity on food recruitment in ants".</p> <p>R script works in pair with all three .csv files.</p> <p>.txt files are example of output generated by the Python script that analyses a worker's path inside the nest.</p> <p>3 videos from the experiment are also available. They allow visualization of the setup as well as testing of Python scripts.</p>
FIGURE 5 in Impacts on fisheries assessed by local ecological knowledge in a reservoir cascade in the lower São Francisco River, northeastern Brazil
FIGURE 5 | Maximum Similitude Tree showing the expression and relationship of impacts over fisheries in the four areas sampled on the Sub-Middle and on Lower São Francisco, based on fishers' testimonies (n = 107).
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.