AndreaBozzo/ceres-open-data-index huggingface dataset:
Railway (within agglomerations) Noise Contours Lden Round 1

Data indicating the level of noise according to the strategic noise mapping of all railway sources within areas with a population of at least 250,000 people (agglomerations). Lden indicates a 24 hour annual average noise level with separate weightings for the evening and night periods. This data is a product of the strategic noise mapping analysis undertaken to meet the requirements of the Environmental Noise Directive (Directive 2002/49/EC).

Tags: Human health and safety
Organization: Scottish Government SpatialData.gov.scot
ScotMap - Inshore Fisheries Mapping Project (2007-2011)

ScotMap is a Marine Scotland project which provides spatial information on the fishing activity of Scottish registered commercial fishing vessels under 15 m in overall length. The data were collected during face-to-face interview with individual vessel owners and operators and relate to fishing activity for the period 2007 to 2011. The data are aggregated and analysed to provide information on the monetary value, relative importance (relative value) and the usage (number of fishing vessels and crew) of seas around Scotland.

Tags: Species distribution
Organization: Scottish Government SpatialData.gov.scot
Updating Fisheries Sensitivity Maps in British Waters

The requirement to display sensitive areas relating to the life history of commercially important fish species in British waters is well recognized. Sensitive areas have previously been described as spawning and nursery grounds. Here we consider only areas where there is evidence of aggregations of 0 group fish and/or larvae of key commercial species. 0 group fish are defined as fish in the first year of their lives. These fish sensitivity maps were originally generated to provide a spatial and temporal description of where physical damage could potentially occur to fish species at sensitive stages in essential habitats of their life cycle. Sources of damage in this context referred to seismic surveying conducted by the offshore Oil and Gas industry during their site investigations. In addition to the acoustic energy that the seismic survey activities generate, we should now add other percussive impact noises from pile driving seabed foundation pins into the seabed, such as those required for offshore renewable energy sites. The spatial location of these fish life history events and their potential interaction with offshore industries can heavily influence the planning, costs and delivery of these offshore developments. It is imperative that these maps reflect the current extent of these areas.

Tags: Species distribution
Organization: Scottish Government SpatialData.gov.scot
Fishing - Active Salmon Coastal Net Fisheries 2011-2016 (time series)

Fisheries which returned coastal fixed engine or net and coble catches of salmon or sea trout to Marine Scotland Science from 2011 onwards.

Fishery locations are repeated for each year that the fishery was active, i.e. reported catch data. 

More information on the Scottish Government salmon and sea trout fishery statistics is provided at http://www.gov.scot/Topics/marine/Publications/stats/SalmonSeaTroutCatches

Tags: Fish and shellfish catch statistics, Species distribution
Organization: Scottish Government SpatialData.gov.scot
Road Safety

Detailed data about personal injury accidents on public roads in York that are reported to the police and subsequently recorded, using the STATS19 accident reporting form, from 2005 onwards.

The Accident_Index attribute gives a unique index for each accident and links to Vehicle and Casualty data. Casualties are linked to vehicles by the “VEHREF” attribute.

The Longitude and Latitude data is based on WGS 1984.

The key for all of the coded values of the data is provided within the "Road Safety Key" resource.

For more information such as casualties, details on vehicles or breath-test or blood alcohol content, please visit [Road Safety data for GB](http://data.gov.uk/dataset/road-accidents-safety-data)

Data extracted from publication by Department for Transport, licensed under Open Government Licence

Organization: City of York Council
Plant census and microenvironment dataset from Mt. Baldy, Colorado, USA, 2014-2017

The data comprise a long-term study of alpine plant community dynamics in the Gunnison National Forest of Colorado. The data comprise annual census data for all plants (including seedlings) in each of 50 2x2m plots, including information on size, reproduction, life stage, and mortality, with all plants identified and geo-located. These data are also made available transformed to provide individual-level estimates of growth, survival, fecundity, and recruitment. The dataset covers several thousand individuals of approximately twenty species, and highlights an apparent pattern of demographic decline.
The data also include information on microenvironment / microedaphic variation at 2 m resolution covering the entire research site, including information on temperatures, topography, soil chemistry, soil texture, and other variables.
The data also include information on the functional traits of many of the species present at the site, including information on biomass allocation, leaf traits, root traits, seed traits, and floral traits.
Full details about this dataset can be found at https://doi.org/10.5285/d850fcd2-b70a-415e-acf4-fc27b38d59c1

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Fine resolution land cover map of the Upper Welland Catchment, UK for 2018

This dataset is a fine resolution 2018 land cover map of the headwaters region of the Welland River Catchment, UK, projected in British national grid. It has a spatial resolution of 10m and thematic resolution of 10 classes. The map covers a 340km2 region across the English counties of Leicestershire, Rutland and Northamptonshire with predominantly agricultural land use. Full details about this dataset can be found at https://doi.org/10.5285/63b748ee-22a4-42ca-8a34-20321f6ab8af

Tags: Catchment Planning, Land Cover, Land Cover Map, Landscape Ecology, Remote Sensing, Resource Management
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: collated indices 2019

Collated indices are a relative measure of butterfly abundance across sites monitored as part of the UK Butterfly Monitoring Scheme. Data from all survey sites (standard UKBMS transects, Wider Countryside Survey transects and targeted species surveys such as timed, larval web and egg counts) are used in the calculation of these indices. The statistics are presented as log10 values. These values are centred round an arbitrary value of 2 as a mean for the time series in order to help show which years are below or above average. Collated indices are calculated annually for each individual butterfly species that has been recorded on five or more sites in that year. Indices are calculated at UK level and at individual country level for England, Scotland, Wales and Northern Ireland where sufficient data are available. Based on this criterion, collated indices have been calculated for the entire time series from 1976 (UK, England and Wales), 1979 (Scotland) and 2004 (Northern Ireland) to the current year for the majority of species, but for some rarer species this has not been possible in some years, particular those in the first part of the time series. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK or country for a given species in a given year. The number of sites for each species ranges from 5 to several hundred or more and fluctuates from year to year. By 2010 almost 2,000 sites were monitored in total across the UK, with this number rising to more than 3,000 over the next decade.
Collated indices are calculated so that we can determine how butterfly populations are changing over time across the UK. This data can be used, for example, to determine where to target conservation efforts and more generally the condition of the UK countryside. Butterflies are recognised as important indicators of biodiversity and environmental change, for example in UK and country Biodiversity Indicators, and have been used in numerous studies of the impacts of climate and habitat change on biodiversity.
The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
Full details about this dataset can be found at https://doi.org/10.5285/657a64b2-8c34-43d2-a0f0-662ddf73c720

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Modelled annual average production loss due to ozone damage for four global staple crops 2010-2012

Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum), for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisationâs (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for production loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop production losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is a step towards mitigation of the problem.
The production loss calculations were done as part of the NERC funded SUNRISE project (NEC06476) and National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574). Full details about this dataset can be found at https://doi.org/10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01

Tags: Air pollution impact, Environmental Monitoring Facilities, Maize, Ozone, Production loss, Rice, Soybean, Wheat
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site indices 2019

This dataset comprises individual site indices for UK butterfly species calculated from data from the UK Butterfly Monitoring Scheme (UKBMS). Site indices are a relative rather than an absolute measure of the size of a population, and have been shown to relate closely to other, more intensive, measures of population size such as mark, release, recapture (MRR) methods. The site index can be thought of as a relative measure of the population size, being a more or less constant proportion of the number of butterflies present. The proportion seen is likely to vary according to species; some butterfly species are more conspicuous and thus more easily detected, whereas others are much less easy to see.
Site indices are only calculated at sites with sufficient monitoring visits throughout the season, or for targeted reduced effort surveys (timed observations, larval web counts and egg counts) where counts are generally obtained as close to the peak of the flight period as possible and are subsequently adjusted for the time of year and size of the site (area of suitable habitat type for a given species). Wider Countryside Butterfly Survey (WCBS) sites are thus excluded because they are based on very few visits from which indices of abundance are not calculated. For transect sites, a statistical model (a General Additive Model, 'GAM') is used to impute missing values and to calculate a site index. Each year most transect sites (over 90%) produce an index for at least one species and in recent years site indices have been calculated for over 2,000 sites across the UK.
Site indices are subsequently collated to contribute to the overall 'Collated Index' for each species, which are relative measures of the abundance of each species across a geographical area, for example, across the whole UK or at country level for England, Scotland, Wales or Northern Ireland. Individual site indices are important in informing conservation management as not all sites show the same patterns for each species and likely reflect a combination of local climate and habitat management at the site.
The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
Full details about this dataset can be found at https://doi.org/10.5285/180a1c76-bceb-4264-872b-deddfe67b3de

Tags: England, Environmental Monitoring Facilities, Monitoring and Observation Systems, Northern Ireland, Scotland, Wales
Organization: Environmental Information Data Centre
Yield Constraint Score (YCS) for the effect of five crop stresses on global production of four staple food crops

A Yield Constraint Score (YCS; scale of 1-5) was developed for the effect of five key crop stresses (ozone, pests and diseases, soil nutrients, heat stress and aridity) on the production of the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum). Data are on a global scale at 1Â° by 1Â° resolution, based on the distribution of production for each crop, according to the Food and Agriculture Organisationâs (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. To derive the YCS for each crop stress, spatial data on a global scale were gathered. Modelled ozone data (2010-2012) were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Pests and diseases data (2002-2004) were downloaded from a Centre for Agriculture and Biosciences International (CABI) database providing estimates for pre-harvest crop losses due to weeds, animal, pathogens and viruses, compiled from the literature. Soil nutrient classifications (for 2009, derived using soil attributes from the Harmonized World Soil Database (HWSD)) were downloaded from the GAEZ data portal. A heat stress index was calculated using daily temperature data (1990-2014) to determine whether the temperature within a 30-day thermal-sensitive period exceeded crop tolerance thresholds. Global Aridity Index data (1950-2000) were downloaded from the Consultative Group for International Agricultural Researchâs Consortium for Spatial Information (CGIAR-CSI). The Yield Constraint Score provides an indication of where each stress is predicted to be affecting crop yield globally and the magnitude of the effect. The YCS data were developed as part of the NERC funded SUNRISE project (NEC06476) and the National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574).

Tags: Air Pollution, Aridity, Crop Yield, Diseases, Environmental Monitoring Facilities, Heat Stress, O3, Ozone, Pests, Soil, Sunrise, Yield Loss
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: species trends 2019

This dataset provides linear trends, over varying time periods, for the Collated Indices of individual butterfly species across the UK. The main statistical values derived from a linear regression (slope, standard error, P-value) are presented for the entire time series for each species (1976# to the present year), for the last 20 years, and for the last decade. In addition, trends are classified based on the direction and significance of a linear slope together with an estimated percentage change for that time period. These trend data are provided for all UK butterfly species for which we have sufficient data (58 species).
Trends are calculated by performing a linear regression on the annual Collated indices for each species. Collated indices are calculated using a log-linear model incorporating individual site indices from all monitored sites across the UK for a given species in a given year.
Trends across different time series allow us to determine the long and short-term status of individual species. This is enables us to focus conservation and research and also to assess species responses to conservation already in place.
The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the Centre for Ecology & Hydrology (CEH), the British Trust for Ornithology (BTO), and the Joint Nature Conservation Committee (JNCC). The UKBMS is indebted to all volunteers who contribute data to the scheme.
This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.
#Because the Collated indices are only calculated for each species in years in which it was recorded on five or more sites, the starting year for the series is later than 1976 for a number of rarer species.
Full details about this dataset can be found at https://doi.org/10.5285/8ccccf05-45b4-4a65-b145-38e9b44d2ce4

Tags: Environmental Monitoring Facilities, Lepidoptera, annual, butterflies
Organization: Environmental Information Data Centre
Modelled annual average percentage yield loss due to ozone damage for four global staple crops, 2010-2012 version 2

Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisationâs (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem.
The yield loss calculations were done as part of the NERC funded SUNRISE project (NEC06476) and National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574). Full details about this dataset can be found at https://doi.org/10.5285/2a932995-f040-4724-ad21-3e92ae8a2540

Tags: Air pollution, Environmental Monitoring Facilities, Maize, Rice, Soybean, Wheat, Yield loss
Organization: Environmental Information Data Centre
Hydrochemistry and nitrate sensor data from three karst sites in SW China, 2016-2017

The dataset contains hydrochemistry (Temperature, Specific conductivity, pH, dissolved oxygen) and nitrate-N in the Houzhai catchment (Southwestern, China). Three karst springs were investigated. Data were obtained via sensor approach with 15mins time interval between May 2016 to October 2017. Full details about this dataset can be found at https://doi.org/10.5285/f70596a1-0994-4b08-abab-0c9398af447d

Tags: Houzhai, Hydrochemistry, Nitrate, Sensor
Organization: Environmental Information Data Centre
Flow velocity, discharge, and suspended sediment compositions of the Irrawaddy and Salween Rivers, 2017-2019

This dataset contains water flow velocity, discharge, and suspended sediment compositions of the Irrawaddy (Ayeyarwady) River at Pyay, Myanmar
and the Salween (Thanlwin) River at Hpa-An, Myanmar. The suspended sediment samples and the hydrological data were collected both during peak monsoon
conditions (August 2017 and August 2018) and peak dry season conditions (February 2018 and May 2019). Water velocity was measured using Acoustic
Doppler Current Profiler (ADCP) while collecting suspended sediment samples at various depths in the river.
Additional flow velocity data was collected while laterally crossing the river channel from bank to bank, and was used to calculate total river discharge at these sites. The dataset includes suspended sediment concentrations, particulate organic carbon concentrations, and particle size distributions of sediment samples collected at various depths and locations in the two river channels. Full details about this dataset can be found at https://doi.org/10.5285/86f17d61-141f-4500-9aa5-26a82aef0b33

Tags: Discharge, Irrawaddy river, Myanmar, Organic carbon, Particle size, Salween river, Suspended sediment concentrations
Organization: Environmental Information Data Centre
Nitrous oxide and methane fluxes from different understory treatments in oil palm plantations in Riau, Indonesia 2018-2019

[This dataset is embargoed until December 1, 2021]. This dataset contains terrestrial fluxes of nitrous oxide (N2O), methane (CH4) and ecosystem respiration (carbon dioxide (CO2)) calculated from static chamber measurements in mature oil palm plantations on mineral soil, managed by Sinar Mas Agro Resources and Technology Research Institute (SMARTRI) and located on the Ujung Tanjung Estate in Riau, Sumatra, Indonesia. Measurements were made monthly, from October 2018 until September 2019.
A total of 54 static chambers were installed across nine plots, representing three different understory vegetation treatments: normal complexity (an intermediate-level of understory spraying with herbicide); reduced complexity (spraying of all understory vegetation with herbicides); and enhanced complexity (no herbicide spraying and limited understory cutting). Six chambers were installed in each of the nine plots, resulting in 18 replicates of each treatment. In addition, soil moisture measurements were also taken around each chamber.
The dataset was associated with a foreign research permit, issued by Foreign Research Permit Division Ministry of Research and Technology/National Research and Innovation Agency, Indonesia. As the project spanned two years it was covered by two permits, RISTEK permit number: 323/SIP/FRP/E5/Dit.KI/X/2018 and RISTEK permit number: 8B/TKPIPA/E5/Dit.KI/VIII/2019.
Full details about this dataset can be found at https://doi.org/10.5285/378f028d-ab04-4fa5-a5ca-61f78ea0adb0

Organization: Environmental Information Data Centre