AndreaBozzo/ceres-open-data-index huggingface dataset:
Land Capability for Agriculture - Prime Land

This dataset provides a digital boundary for Prime Agricultural Land (otherwise termed "best and most versatile") in Scotland based on an amalgamation of classes 1, 2 and 3.1 of the Land Capability for Agriculture (LCA) maps. The LCA classification is used to rank land on the basis of its potential productivity and cropping flexibility. This is determined by the extent to which the physical characteristics of the land (soil, climate and relief) impose long term restrictions on its use. The source LCA maps are available from the James Hutton Institute at both 1:250,000 (national coverage) and 1:50,000 (partial coverage) scales.This LCA Prime Land boundary has been produced from a hybrid version of the LCA classification which combines the 1:250,000 and 1:50,000 scale datasets. The hybrid dataset uses the more detailed 1:50,000 scale data where it exists in preference to the 1:250,000 scale data as it is seen as the definitive mapped assessment. The majority of prime land boundary is sourced from the 1:50,000 scale mapping, with that sourced from the 1:250,000 map limited to north-west of Montrose, Machrihanish, a small area adjacent to the Black Isle, west of Campbeltown and south of Jedburgh. This prime land dataset should be used in favour of previous versions which only referenced the 1:250,000 scale mapping.The LCA Prime Land boundary supports planners and agricultural officers in assessing cases made for development and determining priorities in relation to retaining areas of high quality agricultural land, i.e. that with a high capacity to produce food.

Tags: Land use, agricultural land, agriculture, crop production, land use, soil
Organization: Scottish Government SpatialData.gov.scot
Scottish Water Non-Reported Overflow Event Data  2022 - 2025 & Summary Version 1 published 11/05/26

Scottish Water (SW) non-reported overflow event data for overflows that are not reported to SEPA as part of the annual regulatory return.

The data file provided contains overflow event data for 2022 - 2025 for overflows that are known to have licence requirements for permanent event duration monitoring or have monitoring but do not require reporting to SEPA as part of the annual regulatory return.  This includes the overflow asset, measurement point and licence information as well as the start/stop time (dd/mm/yyyy hh:mm:ss) and duration ([h]:mm:ss] for each discrete overflow event greater than 15 minutes 30 seconds.

The data file also contains a summary overflow event data at a measurement point level. This includes: Total number and Total duration of overflow events for each year and additional information such as Type of Overflow, Asset Postcode, Local Authority Area, X&Y (Easting & Northings) co-ordinates and Discharge Receiving Water.

To enhance traceability, a Version History tab has been added to the data, allowing for high-level tracking of changes along with a summary of the reasons for those changes.


Organization: Scottish Water
United Kingdom Butterfly Monitoring Scheme: site location data 2012

This dataset provides the details of all sites which have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). Data includes the location within the UK, the length and width of the line transect on each site, and how long the transect has been monitored. The UKBMS started in 1976 with fewer than 50 sites. The number of sites monitored each year has increased to over a thousand since 2008. There is turnover in sites monitored each year and details of the first and last year in which each site was surveyed are given. The majority of site data is provided by recorders at the time a transect is created. The majority of these recorders are volunteers. The Centre for Ecology & Hydrology (CEH) and Butterfly Conservation (BC) collate the data and the UKBMS is funded by a consortium of organisations led by the Joint Nature Conservation Committee (JNCC). Full details about this dataset can be found at https://doi.org/10.5285/b00c37c7-43ca-495e-aa79-e691d46c9ffa

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Monthly analysis of the cellulose and distilled moss water isotope composition for temperate East Anglian mosses

The dataset contains a key to species and locations of moss samples and water samples collected along with relative water contents for moss samples. The stable carbon (13C/12C) and oxygen (18O/17O) composition of cellulose is presented, along with the stable oxygen (18O/17O) and hydrogen (2H/1H) isotope compositions of fresh water and water samples distilled from moss tissue. Full details about this dataset can be found at https://doi.org/10.5285/1e57032c-327a-49c7-bb2e-43921dc116e2

Tags: Environmental Monitoring Facilities, Polytrichles, Stable isotope, water
Organization: Environmental Information Data Centre
Low Emission Zone

The Londonwide Low Emission Zone (LEZ) was launched in February 2008. The LEZ operates to encourage the most polluting heavy (including buses, coaches, lorries and other specialist vehicles) diesel vehicles driving in London to become cleaner. The LEZ covers most of Greater London and is in operation 24 hours a day, every day of the year. Heavy vehicles must meet a minimum emission standard of pay a £100 charge.Starting 26 October 2020 heavy vehicles will have to meet even stricter standards or pay the fine.

Tags: EV, MapLondon, air quality, airqualitymap, pollution
Organization: Greater London Authority
9, 11 and 19 Osiers Road public hearing documents

Documents for the public hearing on the application for development at 9, 11 and 19 Osiers Road, GLA case reference 4558. More details can be found at https://www.london.gov.uk/what-we-do/planning/planning-applications-and-decisions/public-hearings/9-11-and-19-osiers-road-public-hearing.

Tags: 4558, Osiers Road, consultation, planning
Organization: Greater London Authority
Briefing: Demographic impact of Covid-19

This briefing brings together a range of data published on the demographic impact of Covid19 to understand how the city has been affected, covering what is known about Covid-19 cases, before looking at mortality. It provides comparisons with other cities and explains some of the issues which affect the accuracy of such comparisons. And it summarises the emerging evidence of unequal impacts for different demographic groups, especially ethnicity and workers in particular occupations.

Organization: Greater London Authority
Isle of Dogs and South Poplar Integrated Water Management Plan

An Integrated Water Management Plan (IWMP) for the Isle of Dogs and South Poplar Opportunity Area prepared by the Greater London Authority in partnership with LB Tower Hamlets, also encompassing the ‘East of Borough’ area adjacent to the River Lea. The IWMP considers the constraints and opportunities for sustainably managing water supply, demand and drainage in the study area in the context of the significant residential and commercial development anticipated over the coming decades. It provides a series of prioritised recommendations for the borough, water providers, developers and other key stakeholders to consider for implementation.

Organization: Greater London Authority
Government Consultation Response to Level 2 and Below Qualifications in England

https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1111512/Review_of_post_16_Qualifications_at_L2_and_below_-_Government_Consultation_Response_-_Oct_2022.pdf

Tags: Level 2 and below qualifications in England, Skills and Employment
Organization: Greater London Authority
Air Quality Monitoring Sites

Location of monitoring stations from- London Air Quality Network (https://www.londonair.org.uk/LondonAir/General/about.aspx)- AQE (https://www.airqualityengland.co.uk/)- Breathe London (These monitors are part of a new study in London called 'Breathe London'that is testing out lower cost monitors across the city, for more information on the Breathe London project please see here-https://www.breathelondon.org/)A range of pollutants are typically monitored including NOx, particulates, CO2 and SO2, but vary from site to site.

Tags: AQ, C40, Kings, LAEI, MapLondon, airqualitymap
Organization: Greater London Authority
London Wide Ultra Low Emission Zone 2023

The Ultra Low Emission Zone (ULEZ) boundary expanded across all London boroughs on 29 August 2023 to help clear London’s air. Vehicles driving across London must meet the ULEZ emission standards, or pay a daily charge. This includes residents within the ULEZ. Please visit ULEZ Expansion 2023 - Transport for London (tfl.gov.uk) for more information.

Organization: Greater London Authority
Inner Ultra Low Emissions Zone Expansion 2021

The Ultra Low Emission Zone will be expanded from the 25 October 2021 to include the area up to the North and South circular roads (from the Congestion Zone). ULEZ was introduced to clean up London’s most polluted air. It started on 8 April 2019, operates in the existing central London Congestion Charge Zone, 24 hours a day, every day of the year. Vehicles must meet strict emission standards to drive in the central London ULEZ area, or pay a charge. It replaced the Toxicity Charge (T-Charge) in central London and is in addition to the Congestion Charge. For more information about the central London ULEZ please visit-https://tfl.gov.uk/modes/driving/ultra-low-emission-zone

Tags: EV, MapLondon, air quality, airqualitymap, pollution
Organization: Greater London Authority
Ultra Low Emissions Zone 2019

The central London Ultra Low Emission Zone (ULEZ) was introduced to clean up London’s most polluted air. It started on 8 April 2019, operates in the existing central London Congestion Charge Zone, 24 hours a day, every day of the year. Vehicles must meet strict emission standards to drive in the central London ULEZ area, or pay a charge. It replaced the Toxicity Charge (T-Charge) in central London and is in addition to the Congestion Charge. For more information about the central London ULEZ please visit-https://tfl.gov.uk/modes/driving/ultra-low-emission-zone

Tags: EV, MapLondon, air quality, airqualitymap, pollution
Organization: Greater London Authority
Land Cover Map 1990 (1km dominant target class, N. Ireland)

This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Northern Ireland. The 1km dominant coverage product is based on the 1km percentage product and reports the habitat class with the highest percentage cover for each 1km pixel. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. 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/d33593d7-5c4d-419e-924c-b341847fd6ae

Tags: Land Cover, Northern ireland, UK-SCAPE
Organization: Environmental Information Data Centre
Estimated species richness data used in study of UK Ecological status

Estimated species richness data for valuation of biodiversity across the UK, based on species occurrence records for 11 taxonomic groups (Bees, Birds, Bryophytes, Butterflies, Carabidae, Hoverflies, Isopoda, Ladybirds, Moths, Orthoptera and Vascular plants). UK species occurrence data were collated from the Biological Records Centre (BRC) and the British Trust for Ornithology (BTO). Estimated species richness was calculated across all taxonomic groups for two time periods: 1970-1990 and 2000-2013. The dataset was used to create the "UK ecological status map version 2". Full details about this dataset can be found at https://doi.org/10.5285/6c535793-034d-4c4f-8a00-497315e7d689

Tags: Carabidae, Habitats and Biotopes, Hoverflies, Isopoda, Ladybirds, Moths, Vascular plants
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) eddy covariance flux data for Abbotts Hall, Essex

The eddy covariance data describes the fluxes of CO2, latent energy, and sensible heat. It also includes ancillary data: air and soil temperatures, net radiation balance, down-welling photosynthetically active radiation, wind speed, wind direction, vapour pressure deficit, friction velocity, Monin-Obukhov stability and modelled respiration. Data collection was carried out at Abbotts Hall marsh from the 15 December 2012 till the 27 January 2015. The Abbotts Hall site is in Essex, South East England, and the meteorological tower was situated in the middle of the marsh. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/8cfd9a2a-8b68-40c6-94a1-be8e02e869c1

Tags: BESS, CBESS, CO2, Eddy Covariance, H, Habitats and Biotopes, LE, Latent Energy, NEE, PAR, Sensible Heat, VPD, net radiation, photosynthetically active radiation, relative humidity, temperature, vapour pressure deficit, wind direction, wind speed
Organization: Environmental Information Data Centre
Physicochemical data of glacier rivers in the Cordillera Blanca, Peru, 2019-2020

This dataset includes measured physicochemical variables in ten rivers of the glacial valleys of Parón, Huaytapallana and Llanganuco in the Cordillera Blanca, Ancash, Peru. The environmental variables measured in the rivers include pH, turbidity conductivity, total nitrogen, total phosphorus, dissolved organic carbon, dissolved inorganic carbon, metal ions and anions. Channel stability assessments using the Pfankuch index are also included. This data was used to analyse the physicochemical changes under glacial retreat, studying rivers in a gradient of glacial coverage, and relate it to the biodiversity of macroinvertebrates. The sampling work was carried out from October 14 to 30, 2019 and from October 7 to 16, 2020. The study was funded by NERC, Newton‐Paulet Fund and Fondo Nacional de Desarrollo Científico, Tecnológico y de Innovación Tecnológica-Perú. Full details about this dataset can be found at https://doi.org/10.5285/3684da74-6c6d-4f25-867b-62b7b68175f6

Tags: Cordillera Blanca, Hydrography, Peru, Pfankuch index, pH
Organization: Environmental Information Data Centre
Zooplankton taxa abundance from Windermere North Basin and Esthwaite Water, UK, 2005-2009

This dataset contains zooplankton taxa density sampled fortnightly from Windermere North Basin and Esthwaite Water in Cumbria, England. All data are from January 2005 to December 2009. The data available to download comprise the density of all zooplankton taxa identified in the samples in individuals per m2. Zooplankton were sampled from a boat at a marked location (buoy) using a plankton net (250µm), preserved, and counted in the laboratory, to determine the density of identified zooplankton taxa (individual per m2) within each sample. This dataset was created as part of an ongoing long-term monitoring program of Lakes within the English Lake District, which has collected a range of environmental and biological measurements since 1945. Full details about this dataset can be found at https://doi.org/10.5285/39bed192-423a-4bbf-9b97-7d3da8aab445

Tags: Environmental Monitoring Facilities, cladocera, copepoda, zooplankton
Organization: Environmental Information Data Centre
Very high resolution derived biomass estimates in the Corridor Ankeniheny-Zahamena (CAZ), Madagascar

The products represent biomass estimates for four areas of interest in the Corridor Ankeniheny Zahamena (CAZ), Madagascar, generated using very high resolution imagery and based on field-collected plot information. The study extent aims to capture the drivers of deforestation in the Corridor Ankeniheny-Zahamena (CAZ). Multiple variables were incorporated into the sampling design, including elevation, slope, bioclimate zone, length of dry season, soil type, deforestation history (by epoch and elevation), and access. Based on these criteria, four Zones of Interest (ZOIs) were identified and modified in an iterative approach involving preliminary reconnaissance work, information on access provided by partners, and initial analyses of spatial data layers. The products were generated as part of a project, 'Can Paying 4 Global Ecosystem Services reduce poverty?' (P4GES), funded by the Ecosystem Services for Poverty Alleviation (ESPA) programme Full details about this dataset can be found at https://doi.org/10.5285/9b516d3e-ac72-4453-a6de-b29d2ba2ef4f

Organization: Environmental Information Data Centre
Modelled Miscanthus yield and soil carbon change data for the tropics (2040-2049) and Europe (2090-2099)

This dataset contains potential yields of Miscanthus and changes to soil carbon storage resulting from Miscanthus cultivation. The purpose of this study was to evaluate and compare diverse modelling techniques for evaluating the potential of bioenergy crops to mitigate climate change. Three different types of gridded global models were used: a land surface model, JULES (the Joint UK Land Environment Simulator); a bioenergy crop model, MiscanFor; and an integrated assessment model, IMAGE (Integrated Model to Assess the Global Environment). The simulated scenario uses land use and climatology from RCP (Representative Concentration Pathway) 2.6 and focuses on two study areas: the tropics during 2040-49, and Europe during 2090-99. These data were generated as part of the NERC programme Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal (FAB GGR) (Grant NE/P019951/1). Full details about this dataset can be found at https://doi.org/10.5285/16b26b21-98ce-4c26-8b9e-c80c91403d9e

Tags: Bioenergy, Crop, Environmental Monitoring Facilities, MiscanFor, dynamic global vegetation modelling, integrated assessment modelling, land based mitigation
Organization: Environmental Information Data Centre
Ranked current and anticipated threats to Scotland from global Phytophthora species

This dataset is a ranked list of risks to Scotland from 196 Phytophthora species, including most of the approximately 240 formally described or provisionally named species in the genus globally. Arrival and establishment risks are scored and joined with information on surveillance of known hosts within inspected premises in Scotland (introduction risks). Potential impacts are scored using information on global Phytophthora-host interactions extracted from a global database of Phytophthora records to identify at risk hosts and score the level of threat to hosts and habitats within Scotland. The ranked list was developed to support prioritisation among future Phytophthora threats to Scotland. All risks were scored by the UKCEH project team, informed by a self-completion survey and two workshops with 15 stakeholders from across Scotland's plant health sector, including forestry, conservation, horticulture, and government agencies. Full details about this dataset can be found at https://doi.org/10.5285/72e8f817-01a6-42d2-b187-a5ebf43853a1

Tags: Habitats and Biotopes, Scotland
Organization: Environmental Information Data Centre
Soil metagenomics and chemical data from calcareous grassland restoration sites in England, 2021

This dataset comprises Alpha diversity and functional metrics estimations of soil bacterial and fungal communities and soil chemical properties (pH and electrical conductivity) in samples collected from 60 calcareous grassland restoration sites and a further six wildcard sites made up of ancient grasslands and rewilding sites, all in southern England. Samples were taken in 2021. Soil samples were collected using a 10cm soil corer, with accompanying information on site management during the sampling year as well as the historic age of the restoration site. DNA was extracted from the soil and sequenced for metagenomic analysis. Full details about this dataset can be found at https://doi.org/10.5285/8c8a836c-2117-4a36-bc1b-214b40e66feb

Tags: Metagenomics, Soil
Organization: Environmental Information Data Centre
Estimates of manure volumes by livestock type and land use for England and Wales

Estimates of annual volumes of manure produced by six broad farm livestock types for England and Wales at 10 km resolution, modelled with MANURES-GIS [1]. The farm livestock classes are: dairy cattle; beef cattle; pigs; sheep and other livestock; laying hens; broilers and other poultry. The quantities produced by each type are subsequently apportioned into managed and field-deposited manure. The managed manure sources are categorised as beef farmyard manure, beef slurry, dairy farmyard manure, dairy slurry, broiler litter, layer manure, pig farmyard manure, pig slurry and sheep farmyard manure. The destinations are recorded as grass, winter arable, spring arable and direct excreta when grazing. For each 10 km square, the quantity of manure going from each source to each destination is estimated. The values specify amount of excreta, in kilograms for solid manure and in litres for liquid manure. [1] ADAS (2008) The National Inventory and Map of Livestock Manure Loadings to Agricultural Land: MANURES-GIS. Final Report for Defra Project WQ0103 Full details about this dataset can be found at https://doi.org/10.5285/517717f7-d044-42cf-a332-a257e0e80b5c

Tags: Land Use
Organization: Environmental Information Data Centre
Modelled and projected daily channel discharge, depth and water chemistry characteristics for 24 Mekong River basin subcatchments using the Integrated Catchment (INCA) model

Water quality modelled outputs for daily channel discharge and depth, nitrate-N, ammonium-N, suspended sediment concentration, total phosphorus, and soluble reactive phosphorus for the Mekong River basin. Baseline models for P and N were calibrated over 1998 to 2017. Predictions spanning 2018 to 2098 were modelled based on eight scenarios (2 climate x 2 socioeconomic x 2 population). Please see Whitehead et al (2019) https://doi.org/10.1016/j.scitotenv.2019.03.315 for details. Full details about this dataset can be found at https://doi.org/10.5285/710fc65c-87eb-4932-9d8e-dc8328742232

Tags: Mekong River Basin, rice agriculture, soil nutrients
Organization: Environmental Information Data Centre