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74 results for “Environmental Health”
Inter-Chemical Correlation results for the study: HHEARx2018-2512 (The Role of Environmental Endocrine Disruptors on the Health of Inner City Children)
Title: The Role of Environmental Endocrine Disruptors on the Health of Inner City Children <br>Species: Homo sapiens <br>Number of samples: 651 <br>Number of named analytes: 26 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=62 <br>
Inter-Chemical Correlation results for the study: HHEARx2018-2532 (Environmental Toxins in Early Life: Shaping Health and Disease in Childhood)
Title: Environmental Toxins in Early Life: Shaping Health and Disease in Childhood <br>Species: Homo sapiens <br>Number of samples: 1147 <br>Number of named analytes: 48 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=69 <br>
Inter-Chemical Correlation results for the study: HHEARx2017-1839 (Zika Virus Congenital Health Outcomes and the Impact of Maternal Environmental Exposures)
Title: Zika Virus Congenital Health Outcomes and the Impact of Maternal Environmental Exposures <br>Species: Homo sapiens <br>Number of samples: 2705 <br>Number of named analytes: 10 <br>Datasource url: https://hheardatacenter.mssm.edu/PublicFile/ViewPublicFile?projectid=61 <br>
Environmental data associated to particular health events example dataset
<p>The data represents and example output for environmental data (i.e. climate and pollution) linked with individual events through <strong>location</strong> and <strong>time</strong>. The linkage is the result of a semantic query that integrates environmental data <strong>within an area relevant to the event</strong> and selects a <strong>period of data before the event</strong>.</p> <p>The resulting event-environmental linked data contains:</p> <ul> <li>The data for analysis as a data table (.csv) and graph (.ttl)</li> <li>The metadata describing the linkage process and the data (.csv and .ttl)</li> <li>The interactive report to explore the (meta)data (.html)</li> </ul> <p>The graph files are ready to be shared and published as Findable, Accessible, Interoperable and Reusable (FAIR) data, including the necessary information to be reused by other researchers in different contexts.</p>
Supplementary Datafile for "A reform of value-added taxes on foods can have health, environmental and economic benefits in Europe"
<p>The dataset contains the results of the study "A reform of value-added taxes on foods can have health, environmental and economic benefits in Europe" by Marco Springmann, Eugenia Dinivitzer, Florian Freund, Jørgen Dejgård Jensen, and Clara G Bouyssou. </p> <p>It contains VAT rates on foods across Europe, as well as the results of reforming VAT rates for foods, including increasing rates for meat and dairy and reducing rates for fruits and vegetables. The set of results include changes in food demand, changes in environmental impacts (greenhouse gas emissions, land use, water use, and eutrophication potential), changes in diet-related mortality, changes in costs (revenues, climate change costs, costs of illness). </p>
Fig. 4 in Benthic hydrozoan assemblages as potential indicators of environmental health in a mediterranean marine protected area Abstract
Fig. 4: Two-dimensional nMDS representation of the similarity (Bray-Curtis) of hydrozoan assemblages among samples in the winter campaign. Samples displayed according to stations (numbers) and sampling depth (a), anthropogenic impact (b) and substrate type (c).
Fig. 2 in Benthic hydrozoan assemblages as potential indicators of environmental health in a mediterranean marine protected area Abstract
Fig. 2: Species numbers according to depth strata and total depth integrated species numbers in the study area.
Fig. 3 in Benthic hydrozoan assemblages as potential indicators of environmental health in a mediterranean marine protected area Abstract
Fig. 3: Two-dimensional nMDS representation of the similarity (Bray-Curtis) of hydrozoan assemblages among samples in the summer campaign. Samples displayed according to stations (numbers) and sampling depth (a), anthropogenic impact (b) and substrate type (c).
Figure 5 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 5 Frequency of water mite genera collected from habitats surrounding Point Rosa Marsh including Lake St. Clair. Comparable samples were collected on ten collection dates during 2017, 2018 and 2019. Graphs are arranged (left to right, and then by row) in the order of the overall frequency of each genus. Each bar graph shows the number of taxa collected on the six collection dates with bars color-coded to assist in comparing graphs on various dates. Dark blue (B) [Oct. 18 2017], red (A) [Oct. 20 2017 (1)], light green (B) [Oct. 20 2017], dark green (D&C) [Oct. 27 2017], black (A) [Aug. 7 2018], orange (A) [Aug. 21 2018], grey (D&C) [Aug. 31 2018], yellow (A) [Sept. 16 2019], light
Figure 4 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 4 Frequency of water mite genera collected in Point Rosa Marsh. Comparable samples were collected on nine collection dates during 2017, 2018 and 2019. Graphs are arranged (left to right, and then by row) in the order of the overall frequency of each genus. Each bar graph shows the number of taxa collected on the six collection dates with bars color-coded to assist in comparing graphs on various dates. Dark blue (1&2) [Oct. 18 2017], red (4) [Oct. 19 2017], light green (3) [Oct. 18 2017 (2)], no data (1&2) [Aug. 7 2018], black (1&2) [Aug. 21 2018],
Figure 2. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 2. - Time line of the tasks in UNICORN-project
Figure 1. from: Unicorn–Open science for assessing environmental state, human health and regional economy - Research Ideas and Outcomes 2: e9232 (16 May 2016) https://doi.org/10.3897/rio.2.e9232
Figure 1. - Links and interactions between the work packages
Data for publication: A food system transformation can enhance global health, environmental conditions and social inclusion
<p>Data related to the publication "A food system transformation can enhance global health, environmental conditions and social inclusion"</p>
Occupational and environmental diseases by operating results report of 43 files from Health Data Center (HDC)
<p>Data used in this study were from the Health Data Center (HDC); permission to use these data can be requested from the Health Data Center (HDC), Ministry of Public Health Thailand. <br> This study got approval from the Health Data Center (HDC)(reference no.0212-78) to use the data on pesticide pollutions (insecticide and herbicide) in provinces years 2018-2020 excluding Bangkok because data from Bangkok were not reported on HDC. Included pesticide poisoning from DIAGNOSIS_OPD and DIAGNOSIS_IPD files which used to DIAGCODE were 'T600','T601','T602','T603','T604','T608','T609' without the X68 code. </p> <p><strong>File descriptions</strong>: The pesticide pollutions (pesticide-induced, insecticide, and herbicide) in provinces years 2018-2020:<br> cwt : post code <br> cwt_n : province names<br> 63_pop : population in 2020<br> N63_pesticide : pesticide-induced patients in 2020<br> P63_pesticide : prevalence of pesticide-induced patients in years 2020<br> N63_Insecticide : insecticide patients in 2020<br> P63_Insecticide : prevalence of insecticide patients in years 2020<br> N63_Herbicide : herbicide patients in 2020<br> P63_Herbicide : prevalence of herbicide patients in years 2020<br> N63_Other : other pesticide patients in 2020<br> P63_Other : prevalence of other pesticide patients in years 2020<br> 62_pop : population in 2019<br> N62_pesticide : pesticide-induced patients in 2019<br> P62_pesticide : prevalence of pesticide-induced patients in years 2019<br> N62_Insecticide : insecticide patients in 2019<br> P62_Insecticide : prevalence of insecticide patients in years 2019<br> N62_Herbicide : herbicide patients in 2019<br> P62_Herbicide : prevalence of herbicide patients in years 2019<br> N62_Other : other pesticide patients in 2019<br> P62_Other : prevalence of other pesticide patients in years 2019<br> 61_pop : population in 2018<br> N61_pesticide : pesticide-induced patients in 2018<br> P61_pesticide : prevalence of pesticide-induced patients in years 2018<br> N61_Insecticide : insecticide patients in 2018<br> P61_Insecticide : prevalence of insecticide patients in years 2018<br> N61_Herbicide : herbicide patients in 2018<br> P61_Herbicide : prevalence of herbicide patients in years 2018<br> N61_Other : other pesticide patients in 2018<br> P61_Other : prevalence of other pesticide patients in years 2018</p> <p>P3y_pesticide : average prevalence of pesticide-induced patients from 2018 to 2020<br> P3y_Insecticide : average prevalence of insecticide patients from 2018 to 2020<br> P3y_Herbicide : average prevalence of herbicide patients from 2018 to 2020<br> P3y_Other : average prevalence of other pesticide patients from 2018 to 2020</p>
Fig. 1 in Benthic hydrozoan assemblages as potential indicators of environmental health in a mediterranean marine protected area Abstract
Fig. 1: Sampling stations and associated level of impact in the study area.
Health versus environmental benefits: Does additional information influence consumer acceptance of pulse-based spreads?
<p>Despite the known health benefits and the potential for substituting less environmentally sustainable consumed foods such as meat, the current intake of pulses in developed countries remains less than recommended. Barriers are related to sensory characteristics and lack of knowledge about preparation, while drivers of environmental benefits are intangible. The aim of this study was to investigate the effect of additional information about health or environmental benefits of pulses on the acceptance of novel pulse-based products from chickpeas, black beans, and faba beans. Perceptions of these pulse-based spreads in a blind and informed stage were assessed with 202 consumers in urban and sub-urban areas of Denmark. In general, the familiar chickpea spread followed by the relatively most unfamiliar black bean spread was liked the most. Only for these two products, additional information increased hedonic perception, regardless of the context (health or environmental benefits). If consumers did not like the spread, as found for the faba bean spread, providing additional information did not significantly alter this perception. Participants’ preferences and willingness-to-pay (WTP) in a discrete choice experiment (DCE) was corresponding with hedonic scores while providing additional information was found to increase the WTP. These findings suggest that extrinsic cues such as health or environmental benefits may only be useful in products with an acceptable baseline taste profile. Moreover, black beans might be investigated as a promising source for further product development due to their acceptance by consumers besides being the comparably most unfamiliar pulse type.</p> <p> </p>
Internal exposure of Flemish teenagers to environmental pollutants: results of the Flemish Environment and Health Study
<p>Supplementary Information of manuscript "Internal exposure of Flemish teenagers to environmental pollutants: results of the Flemish Environment and Health Study 2017-2018 (FLEHS IV) "</p>
Figure 2 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 2 Point Rosa Marsh along Lake St. Clair, Harrison Township, Michigan, USA. (A) Taken at
Figure 1 in First data on water mite (Acari, Hydrachnidia) assemblages of Point Rosa Marsh, Harrison Township, Michigan, USA, and their use as environmental bioindicators of aquatic health
Figure 1 Map of Lake St. Clair Metropark with inset showing placement in the Lake St. Clair
Socioeconomic and environmental indicators of health and health condition for 77 districts of the Czech Republic (2001–2003 and 2016–2019)
<p>The dataset comprises 60 health indicators categorized into seven groups (A.1 to A.7), consisting of a total of 36 health determinants. Additionally, there is one category (B.1) specifically for health conditions, containing 24 health indicators. This dataset was created for 77 regions in the Czech Republic, including 76 districts (LAU1) and the capital city of Prague. The data were extracted from official sources, namely the Czech Statistical Office, the Institute of Health Information and Statistics of the Czech Republic, the Ministry of Labour and Social Affairs, and the Czech Hydrometeorological Institute. The dataset covers two time periods: 2001–2003 and 2016–2019.</p>
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.