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18,658 results for “impacts”
Combined impacts of environmental and socioeconomic covariates on HFMD risk in China
<p>Supplement to "Combined impacts of environmental and socioeconomic covariates on HFMD risk in China"</p>
Temperature adaptation and its impact on the shape of performance curves in Drosophila populations
<p><span>Understanding how species adapt to different temperatures is crucial to predict their response to global warming, and thermal performance curves (TPCs) have been employed recurrently to study this topic. Nevertheless, fundamental questions regarding how thermodynamic constraints and evolution interact to shape TPCs in lineages inhabiting different environments remain unanswered. Here, we study </span><span><em>Drosophila</em> <em>simulans</em></span><span> along a latitudinal gradient spanning 3,000 km to test </span><span>opposing hypotheses based on thermodynamic constraints ('<em>hotter</em>-<em>is</em>-<em>better</em>') versus biochemical adaptation ('jack-of-all-temperatures') as primary determinants of TPCs variation across populations. </span><span>We compare thermal responses in metabolic rate and the egg-to-adult survival as descriptors of organismal performance and fitness, respectively, and show that different descriptors of TPCs vary in tandem with mean environmental temperatures, providing strong support to <em>hotter</em>-<em>is</em>-<em>better</em>. Thermodynamic constraints also resulted in a strong negative association between maximum performance and thermal breadth. </span><span>Lastly, we show that descriptors of TPCs for metabolism and </span><span>egg-to-adult survival </span><span>are highly correlated, providing evidence of coadaptation and that curves for </span><span>egg-to-adult survival </span><span>are systematically narrower and displaced towards lower temperatures. Taken together, results support the pervasive role of thermodynamics constraining thermal responses in <em>Drosophila</em> populations along a latitudinal gradient, that are only partly compensated by evolutionary adaptation. </span></p>
FMECA DataBase H2020 IMPACT D4.1
<p> </p> <p>The file consists of created FMECA database for IMPACT D4.1<br> Failure mode and failure rate of relevant WEC components/subsystems. The data can be used to analyse the main constraints for reliable and cost-effective WEC operation.</p>
Fig. 3 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 3. Classification of wetland birds based on feeding guild recorded at five artificial wetlands during 2011– 2015: A — Gavase wetland; B — Dhangarmola wetland; C — Khanapur wetland; D — Erandol wetland; E — Ningudage wetland.
Fig. 1 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 1. Map of study sites: A — Gavase wetland, B — Dhangarmola wetland, C — Khanapur wetland, D — Erandol wetland, E — Ningudage wetland. Adopted from Patil & Choudaj (2022).
Fig. 4 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 4. Photographs of some of the wetland birds: a — Ruddy Shelduck Tadorna ferruginea; b — Little Ringed Plover Charadrius dubius; c — Small Pratincole Glareola lacteal; d — Painted Stork Mycteria leucocephala; e — Black-headed Ibis Threskiornis melanocephalus; f — Asian Openbill Anastomus oscitans; g — Eurasian Spoonbill Platalea leucorodia; h — Black-winged Stilt Himantopus himantopus; i — River Tern Sterna aurantia.
Fig. 2 in The Importance Of Artificial Wetlands In The Conservation Of Wetland Birds And The Impact Of Land Use Attributes Around The Wetlands: A Study From The Ajara Conservation Reserve, Western Ghats, India
Fig. 2. Total number of wetland and wetland associated birds recorded at five artificial wetlands during 2011– 2015: A —Gavase wetland; B — Dhangarmola wetland; C — Khanapur wetland; D — Erandol wetland; E — Ningudage wetland.
The impact of pharmaceutical form and simulated side effects in an open-label-placebo RCT for improving psychological distress in highly stressed students (Open Data and Open Materials)
<p> Open-label placebo (OLP) may be utilized to reduce psychological distress. Yet, potential contextual effects have not been explored. We investigated the impact of pharmaceutical form and the simulation of side effects in a parallel group RCT (DRKS00030987). A sample of 177 highly stressed university students at risk of depression were randomly assigned by computer generated tables to a one-week intervention with active or passive OLP nasal spray or passive OLP capsule or a no-treatment control group. After the intervention, groups differed significantly in depressive symptoms but not regarding other outcomes of psychological distress (stress, anxiety, sleep quality, somatization), well-being or treatment expectation. OLP groups benefitted significantly more compared to the no-treatment control group (<em>d</em>=.40), OLP nasal spray groups significantly more than the OLP capsule group (<em>d</em>=.40) and the active OLP group significantly more than the passive OLP groups (<em>d</em>=.42). Interestingly, before intervention, most participants, regardless of group assignment, believed that the OLP capsule would be most beneficial. The effectiveness of OLP treatments seems to be highly influenced by the symptom focus conveyed by the OLP rationale. Moreover, pharmaceutical form and simulation of side effects may modulate efficacy, while explicit treatment expectation seems to play a minor role.</p>
Potential impact of assimilating visible and infrared satellite observations compared to radar reflectivity for convective‐scale NWP
<p>Contains</p> <ul> <li>raw_data <ul> <li>nature run initial conditions for the cases "random" and "warm-bubble"</li> <li>ensemble initial condition sounding profiles</li> </ul> </li> <li>evaluation_metrics <ul> <li>csv files of FSS, RMSE, MAE, ensemble spread, mean difference<br> to reproduce figures of FSS, RMSE and spread in the paper and more.<br> See the README.txt</li> </ul> </li> <li>figures <ul> <li>Map_VIS06 ... Simulated satellite images of visible reflectance for ensemble members and truth</li> <li>Map_VIS06_probability ... Map of ensemble probability for visible reflectance > 0.6 and the nature in red contours</li> </ul> </li> </ul> <p> </p>
Exploring the Impact of Negative Sampling on Patent Citation Recommendation
<ul> <li> <p><strong>pcr_patents.csv </strong>is the dataset which is generated by collecting samples randomly from Google Patents by exploiting a <a href="https://pypi.org/project/google-patent-scraper/">Python library</a>. The dataset comprises around 250,000 US patents and their titles, abstracts, and citations. Each patent has roughly on average 27 citations.</p> </li> </ul> <p>The zip file contains 3 different datasets for training and testing patent citation recommendation systems. These datasets were generated by utilizing the main dataset. They consist of around 1 million instances which are positive as well as negative samples. </p> <ul> <li> <p><strong>pcr_cpc_negative_sample_data.csv</strong> consists of negative samples that were generated based on CPC subclass codes. </p> </li> <li> <p><strong>pcr_random_negative_sample_data.csv</strong> consists of negative samples that were generated randomly. </p> </li> <li> <p><strong>pcr_sem_sim_negative_sample_data_2.csv</strong> consists of negative samples that were generated based on nearest neighbor relation.</p> </li> </ul>
Power of Place - National - Environmental and social impact score datasets
<p>Raster environmental and social datasets for Power of Place - National study as rasters for wind and solar PV. See technical slide deck on the Power of Place National website (The Nature Conservancy) for more details on how rasters were developed. </p>
Dataset used in the study: Impacts of hot-dry conditions on hydropower production in Switzerland
<p>This dataset contains the hydro-meteorological data used in the study Impacts of hot-dry conditions on hydropower production in Switzerland. Description: The data consists of a <code>data.frame</code> for each of the hydropower plants located in different regions over Switzerland. This dataset includes the data for the historical (present-day or reference period) conditions and for the future climate projections as detailed in the paper. The data.frame structure is as follows:</p> <ol> <li>Date: Datetime columnd</li> <li>Generation: Observed daily hydropower generation collected from ENTSO-E</li> <li>Predictions: Predicted hydropower generation </li> <li>PREVAH: Daily discharge data </li> <li>PREVAH7D: 7Days lag values of discharge data</li> <li>PREVAH15D: 15Days lag values of discharge data</li> <li>PREVAH30D: 30Days lag values of discharge data</li> <li>spi_3: SPI-3 monthly values corresponding to the precipitation index (SPI-3)</li> <li>STI_1: STI-1 monthly values corresponding to the temperature index (STI-1) </li> </ol> <p> </p> <p>For further details about the data, please refer to the study. </p>
Hypervelocity impact RF/optical measurements
<p>Oscilloscope traces in LeCroy binary format (Matlab and Python decoding scripts available) associated with patch antenna and photomultiplier tube measurements conducted 2011-08-02 at the Max Planck Institute for Nuclear Physics dust accelerator.</p> <p>File names follow the format xxx-Cy_zzzzz.trc where:<br> xxx is PMT for the photomultiplier tube, 916 for the 916 MHz patch antenna, and 315 for the 315 MHz patch antenna<br> y is the oscilloscope channel (1-3 for the three of each type of patch antenna, single channel for the PMT)<br> zzzzz is the shot number, where 865 is a 3.51 fg impactor at 23.9 km/s, 931 is a 2.52 fg impact at 34 km/s, and 1156 is a 0.93 fg impact at 50.7 km/s.</p>
Figure 8 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 8. Examined and verified occurrence records of (A) P. annabelli and (B) P. morti from the Australian Museum dry collection. Main maps showing records in NSW, Queensland and Victoria. Insets showing all of Australia. Source of base map: Hans Braxmeier, maps-for-free.com.
Figure 6 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 6. Boxplots showing comparisons between Paralaoma annabelli and Paralaoma morti in shape metrics: (A) SW/SH, (B) SW/ NOW, (C) SH/NOW, (D) BWH/SH, (E) AW/SW, (F) AH/SH, (G) AH/BWH, (H) AH/AW, and (I) UW/SW. Asterisk above pairwise comparisons of the two species indicate significant difference (p ≤ 0.003) with a Wilcoxon Rank Sum Test with Bonferroni correction.
Figure 5 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 5. Boxplots showing comparisons between Paralaoma annabelli and Paralaoma morti in size and shape metrics: (A) Umbilicus width, (B) Shell width, (C) Shell height, (D) Protoconch width, (E) Body whorl height, (F) Aperture height, (G) Aperture width, (H) Number of whorls, and (I) UW/NOW. Asterisk above pairwise comparisons of the two species indicate significant difference (p ≤ 0.003) with a Wilcoxon Rank Sum Test with Bonferroni correction.
Figure 4 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 4. Best Maximum Likelihood tree based on analysis of ELAV-I8 sequences. Numbers on branches indicate nodal support based on 10,000 ultra-fast bootstrap replicates. Scale bar indicating 2% of modelled sequence divergence. Note that the species for the immature specimens were misidentified (L638 = Iotula microcosmos misidentified as P. morti; L645 = Pseudiotula eurysiana misidentified as P. annabelli).
Figure 3 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 3. Best Maximum Likelihood tree based on analysis of the concatenated dataset of 16S and COI genes. Numbers on branches indicate nodal support by 10,000 ultra-fast bootstrap replicates. Scale bar indicating 10% of modelled sequence divergence. Note that the species for the immature specimens were misidentified (L638 = Iotula microcosmos misidentified as P. morti; L645 = Pseudiotula eurysiana misidentified as P. annabelli).
Figure 2 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 2. Shell dimensions measured. Abbreviations: SW, shell width; AW, aperture width; SH, shell height; BWH, body whorl height; AH, aperture height; UW, umbilicus width; and PW, protoconch width.
Figure 1 in Delineating Paralaoma annabelli, a Minute Land Snail Impacted by the 2019-2020 Wildfires in Australia
Figure 1. Shells of (A–B) Paralaoma morti and (C–D) Paralaoma annabelli: (A) lectotype, Darling Point (AM C.031181); (B) Woollahra, 1 km from lectotype locality of P. morti (AM C.347565); (C) holotype, Wombeyan Caves (AM C.353384); (D) Jenolan Caves (AM C.466715). Main scale bar = 1 mm. Inset scale bar = 100 µm.
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.