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516 results for “human impact”
Data from: Modeling the impact of Plasmodium falciparum sexual stage immunity on the composition and dynamics of the human infectious reservoir for malaria in natural settings
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Global areas of low human impact (‘Low Impact Areas’) and fragmentation of the natural world
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Single cell transcriptomic analyses reveal the impact of bHLH factors on human retinal organoid development
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Investigating the impact of human settlements upon the availability of larval habitats and Aedes albopictus population
<b>Description: </b><p>This experiment analysed the impact of human settlements upon Aedes albopictus populations. Surveys were conducted in natural environments (twice-logged forest) and human settlements in oil palm and logged forest. At each study site, three surveys were conducted: <br><br>1) Aquatic Habitat Survey: within the study area, all bodies of water were analysed for abiotic characteristics – container type, water volume, air temperature, water temperature, canopy cover and turbidity. <br>2) Larval Survey: for each body of water, the number of and stage of larvae/pupae was recorded. Larvae/pupae were extracted from the water, reared to adults and Ae. albopictus were identified. <br>3) Adult Population Survey: human landing catches were conducted to collect Ae. albopictus adults. Abundance and sex ratio was recorded for each location, and the wing span of each individual was taken. </p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/202"><b>Investigating the impact of human settlements upon the availability of larval habitats and Aedes albopictus populations</b></a></p><p><b>Funding: </b>These data were collected as part of research funded by: </p><ul><li>SAFE - Tropical Forest Ecology Masters (Studentship)</li></ul><p>This dataset is released under the CC-BY 4.0 licence, requiring that you cite the dataset in any outputs, but has the additional condition that you acknowledge the contribution of these funders in any outputs.</p><p></p><p><b>Permits: </b>These data were collected under permit from the following authorities:</p><ul><li>Sabah Biodiversity Centre (Research licence JKM/MBS.1000-2/2 JDL.8 (59))</li><li>Medical Research & Ethics Committee (Ethics licence NMRR-17-3242-39250 (IIR))</li></ul><p></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3929764">here</a></p><p><b>Files: </b>This dataset consists of 4 files: M_Vollans_Larval_Habitats_19v2.xlsx, Larval_Adult_ID.zip, HLC_Wing_Length.zip, Larval_Habitat_Photos.zip</p><p><b>M_Vollans_Larval_Habitats_19v2.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Aquatic Habitat Survey</b> (described in worksheet AquaticHabitatSurvey)</p><p>Description: AquaticHabitatSurvey</p><p>Number of fields: 30</p><p>Number of data rows: 89</p><p>Fields: </p><ul><li><b>Date</b>: Date of survey (Field type: date)</li><li><b>Land_Type</b>: Details of Land-Type (Field type: categorical)</li><li><b>Location</b>: Details of location. OP = Oil Palm, LF = Logged Forest (Field type: categorical)</li><li><b>Replicate</b>: Details location, as named in location sheet. To 'replicate' resolution. (Field type: location)</li><li><b>Number_10m^2_Square</b>: Number 10m^2 surveyed (Field type: replicate)</li><li><b>Sampling_Region</b>: Details of 10m^2 the aquatic habitat corresponds to: in human settlements, this is the type of building, and in natural environments, the compass direction of the square from the second order point (N/S/E/W). (Field type: replicate)</li><li><b>Elevation</b>: Elevation from GPS (Field type: numeric)</li><li><b>GPS_file_name</b>: File name saved on GPS (Field type: id)</li><li><b>Access_Available</b>: Record of whether able to access the aquatic habitat (Field type: categorical)</li><li><b>Comments</b>: General comments on aquatic habitat (Field type: comments)</li><li><b>Canopy_cover</b>: Record of canopy cover. NA where inside. Data incomplete. (Field type: numeric)</li><li><b>Inside/Outside</b>: Record of whether the aquatic habitat is inside or outside (NA for natural land types, where all larval habitats are outside). (Field type: categorical)</li><li><b>Water_Turbidity</b>: Water turbidity, subjective categorization by a consistant surveyer. (Field type: categorical)</li><li><b>Water_Temperature</b>: Temperature of the water in the aquatic habitat. NOTE: potential faulty equipment. This data was not used in analysis. (Field type: numeric)</li><li><b>Air_Temperature</b>: Temperature of the air directly above the aquatic habitat. (Field type: numeric)</li><li><b>Type_Aquatic_Habitat</b>: Record of the type of aquatic habitat (Field type: categorical)</li><li><b>In_Constant_Use</b>: Record of whether the aquatic habitat is in constant use. (Field type: categorical)</li><li><b>Water_Volume</b>: Total water volume of the aquatic habitat (Field type: numeric)</li><li><b>Radius</b>: Radius of the aquatic habitat (Field type: numeric)</li><li><b>Diameter</b>: Diameter of the aquatic habitat (Field type: numeric)</li><li><b>Length</b>: Length of the aquatic habitat (Field type: numeric)</li><li><b>Width</b>: Width of the aquatic habitat (Field type: numeric)</li><li><b>Water_Depth</b>: Depth of the water in the aquatic habitat (Field type: numeric)</li><li><b>Larval/Pupal_Presence</b>: Record of whether larvae/ pupae are present in the aquatic habitat. (Field type: categorical)</li><li><b>Total_Number_Larvae/Pupae</b>: The total number of larvae / pupae found within an aquatic habitat. (Field type: numeric)</li><li><b>1/2_Instar_Larvae_Number</b>: The number of 1st and 2nd instar larvae found within an aquatic habitat. (Field type: numeric)</li><li><b>3/4_Instar_Larvae_Number</b>: The number of 3rd and 4th instar larvae found within an aquatic habitat. (Field type: numeric)</li><li><b>Pupae_Number</b>: The number of pupae found within an aquatic habitat. (Field type: numeric)</li><li><b>Further_comments</b>: Further comments on aquatic habitat. (Field type: comments)</li><li><b>Photo.folder.name</b>: Folder name containing photos of the study site. (Field type: id)</li></ul></li><li><p><b>Larva lAdult ID</b> (described in worksheet LarvalAdultID)</p><p>Description: LarvalAdultID</p><p>Number of fields: 6</p><p>Number of data rows: 76</p><p>Fields: </p><ul><li><b>Date_of_ID</b>: Date of survey (Field type: date)</li><li><b>Ae.albopictus</b>: Record of whether adults are Ae. albopictus, or some other member of the Culicidae (Field type: taxa)</li><li><b>Location</b>: Details of location. (Field type: location)</li><li><b>Wing_length</b>: Measurement of wing length. (Field type: numeric trait)</li><li><b>Photo_folder_ID</b>: Folder name containing photos for adult ID and wing length. (Field type: id)</li><li><b>Comments</b>: General comments about identification / wingspan measurement. (Field type: comments)</li></ul></li><li><p><b>HLC overview</b> (described in worksheet HLCoverview)</p><p>Description: HLCoverview</p><p>Number of fields: 8</p><p>Number of data rows: 16</p><p>Fields: </p><ul><li><b>Date</b>: Date of survey (Field type: date)</li><li><b>Location</b>: Broad location of where HLC occurred. (Field type: location)</li><li><b>Comments</b>: Qualitative details about exact location. (Field type: comments)</li><li><b>Ae.albopictus</b>: Number of Ae. albopictus obtained during a single 1.5 hour sample. (Field type: abundance)</li><li><b>Number_of_males</b>: Number of Ae. albopictus males (Field type: numeric)</li><li><b>Sex_Ratio_(M/Total)</b>: Sex Ratio (number of males / total number) (Field type: numeric)</li><li><b>Survey_complete</b>: Record if it was possible to complete the HLC survey. (Field type: categorical)</li><li><b>Further_comments</b>: Further comments (Field type: comments)</li></ul></li><li><p><b>HLC adult ID</b> (described in worksheet HLCadultID)</p><p>Description: HLCadultID</p><p>Number of fields: 8</p><p>Number of data rows: 111</p><p>Fields: </p><ul><li><b>Date</b>: Date of sampling (Field type: date)</li><li><b>Location</b>: Broad location of where HLC occurred. (Field type: location)</li><li><b>Specific_Location</b>: Qualitative details about exact location. (Field type: comments)</li><li><b>Sex</b>: Sex (Field type: categorical)</li><li><b>Wing Length</b>: Wing length measurement (Field type: numeric trait)</li><li><b>Weather</b>: Weather description (Field type: categorical)</li><li><b>Comments</b>: Comments on wing dissection issues. (Field type: comments)</li><li><b>Photo_Code</b>: Folder name containing wing length photos. (Field type: id)</li></ul></li></ol><p><b>Larval_Adult_ID.zip</b></p><p>Description: Zip file containing JPEG images to ID adult mosquitoes reared from collected larvae. </p><p><b>HLC_Wing_Length.zip</b></p><p>Description: Zip file containing JPEG images of the wingspan of adult mosquitoes collected via HLC. </p><p><b>Larval_Habitat_Photos.zip</b></p><p>Description: Zip file containing photos of some of the larval habitats encountered, and some general landscapes. </p><p><b>Date range: </b>2019-04-03 to 2019-05-06</p><p><b>Latitudinal extent: </b>4.5000 to 5.0700</p><p><b>Longitudinal extent: </b>116.7500 to 117.8200</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Animalia <br> -  -  Arthropoda <br> -  -  -  Insecta <br> -  -  -  -  Diptera <br> -  -  -  -  -  Culicidae <br> -  -  -  -  -  -  <i>Aedes</i> <br> -  -  -  -  -  -  -  <i>Aedes albopictus</i> <br></div><p></p>
Analysis of the Emerging Source Citation Index (coverage and impact) in social science and humanities (2005-2018)
<p>The information presented is supplementary material to the paper " <strong>Is the Emerging Source Citation Index an aid to assess the citation impact in social science and humanities? </strong> "</p>
Figure 2 in Human impact on avian diversity in rural Mediterranean areas
Figure 2. Indicator species with statistically significant (p <0.01) values of the IndVal index. The maximum index value for each species is denoted by italics.
Data from: Impact of numerical information on 'risk knowledge' regarding human papillomavirus (HPV) vaccination among schoolgirls: a randomised controlled trial
Introduction: In Germany the implementation of HPV vaccination for women 12-17 years of age was accompanied by various campaigns. Evidence based information including numerical data was not provided. However, standard information leads to overestimation of cancer risk and effects of HPV vaccination. Confidence in children's ability to deal with numerical data is low, especially in disadvantaged pupils. The aim of the present study was to compare the effects of a standard leaflet with an information leaflet supplemented with numerical data on 'risk knowledge' regarding HPV vaccination among schoolgirls. Methods: Randomised-controlled short-term trial. All 108 schoolgirls of seven school classes were asked to participate and 105 agreed. Participants were vocational schoolgirls who were preparing for grade 10 graduation and who were members of the target group for HPV vaccination. The control group was asked to read a standard leaflet on HPV vaccination of the German Women's Health Network. The intervention group received the same leaflet, but it was supplemented with numerical information on cancer risk and assumed effects of the HPV vaccination on cancer prevention. As baseline characteristics we surveyed: age, vaccination status, attitude towards HPV vaccination and aspects regarding migration background. The primary end point was 'risk knowledge'. Questionnaire surveys were performed under experimental conditions. Individual randomisation, participants, and intention-to-treat data analyses were blinded. The study was approved by the Ministry of Education and Culture of Schleswig-Holstein and the ethics committee of the Hamburg Chamber of Physicians. Results: We analysed 'risk knowledge' for all 105 randomised participants. Baseline characteristics of the two groups were comparable. Numerical risk information recipients were more likely to give correct answers compared to standard information recipients: Mean value of risk knowledge score (0-5 points): 4.6 ± 1.0 vs. 2.6 ± 1.2 (mean difference 2.0 (95% CI 1.6-2.4)); (P<0.001). Post hoc distractor analysis of single items was performed. Incorrect answers of control participants indicated that cervical cancer risk was highly overestimated whereas total cancer risk was mostly underestimated, and possible impact of HPV vaccination on cancer prevention was overestimated. Conclusion: Supplementing health information on HPV vaccination with numerical data improves 'risk knowledge' among schoolgirls.
Data for: The evolution of mammalian Rem2: unraveling the impact of purifying selection and coevolution on protein function, and implications for human disorders
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Machine Learning on the Impacts of Mutations in the SARS-CoV-2 Spike RBD on Binding Affinity to Human ACE2 based on Deep Mutational Scanning Data
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Impact of COVID-19 Pandemic on Human Rights
<p>The dataset is on the impact of the COVID-19 pandemic and the policies made by the government on human rights.</p>
Skeletal Muscle Diacylglycerol and Sphingolipids - Impact of Localization and Species on Insulin Resistance in Humans
ClinicalTrials.gov study NCT03077360. IPD Sharing: NO. Countries: 1. Publications: 0.
Impact of Food Structure on Micronutrient Bioavailability in Human
ClinicalTrials.gov study NCT03413267. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
The Impact of Exercise Methods on Human Body Functions and Metabolism
ClinicalTrials.gov study NCT06523790. IPD Sharing: NO. Countries: 1. Publications: 0.
Human Behavioral Pharmacology Laboratory (HBPL) Study of Varenicline's Impact on Cocaine and Alcohol Craving
ClinicalTrials.gov study NCT01151813. IPD Sharing: NO. Countries: 1. Publications: 0.
Impacts of Omega-3-PUFA Enriched Chicken-meat and Eggs in Healthy Humans
ClinicalTrials.gov study NCT04127409. IPD Sharing: YES. Countries: 1. Publications: 0.
Impact of Immune Challenge on Triple Network Connectivity in Humans
ClinicalTrials.gov study NCT02653235. IPD Sharing: NO. Countries: 0. Publications: 1.
Impacts of Mechanistic Target of Rapamycin (mTOR) Inhibition on Aged Human Muscle (Rapamune)
ClinicalTrials.gov study NCT05414292. IPD Sharing: YES. Countries: 1. Publications: 0.
Impact of Human-Animal Interactions on Children With Life-Threatening Conditions and Their Parents
ClinicalTrials.gov study NCT04310345. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Modelling the impact of curtailing antibiotic usage in food animals on antibiotic resistance in humans
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Data from: Impact of numerical information on ‘risk knowledge’ regarding human papillomavirus (HPV) vaccination among schoolgirls: a randomised controlled trial
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ScienceDex guides
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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.