AndreaBozzo/ceres-open-data-index huggingface dataset:
Manual water table measurements from experimental microcatchments in peatlands at Stalybridge, Peak District, UK, 2019-2022

This dataset contains depth to water table measurements from ten experimental microcatchments (0.4-3.9 hectares) on Stalybridge Moor, an upland peatland in the Peak District, UK. The data extend from 2019 to 2022, covering a period before and after gully blocking took place in six microcatchments, with four microcatchment kept as a non-restored control. Monthly measurements from October-February, summer/autumn. Full details about this dataset can be found at https://doi.org/10.5285/e9ffe8aa-3c17-4f3a-a3e7-5ab3add0af07

Tags: Hydrography, Peak District, peatland, water table
Organization: Environmental Information Data Centre
Local population density of woodland birds from a manipulation experiment in Wytham Woods, Oxfordshire, UK 2021

This dataset contains information about local population densities of great tits, blue tits, marsh tits and nuthatches from a manipulation experiment. The time, location and bird species were recorded using a Passive Integrated Transponder (PIT) tag attached to each bird and the information recorded using a Radio Frequency Identification (RFID) antenna within the feeder. Population density was manipulated by programming automated feeders to only open for a specific set of individuals (creating low- and high-density treatments). Local population densities were recorded using automated bird feeders at six experimental and two control sites prior to and during the manipulation. The experiment took place in Wytham Woods, Oxfordshire, UK between January and March 2021, as part of a study on the effects of ecological factors on social structure and information transmission. The work was supported by the Natural Environment Research Council (Grant NE/S010335/1, The ecology of behavioural contagion in natural systems.) Full details about this dataset can be found at https://doi.org/10.5285/1a4dcbb3-c4fb-4bd4-acb3-d03932de9323

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Land Cover Map 2000 (1km percentage aggregate class, N. Ireland)

This dataset consists of a 1km resolution raster version of the Land Cover Map 2000 for Northern Ireland. The raster consists of 10 bands. Within each band, each 1km pixel represents a percentage cover value for one of 10 aggregate classes. The aggregate classes are aggregations of the target (or 'sub') classes, broadly representing Broad Habitats (see below). The dataset is part of a series of data products produced by the Centre for Ecology & Hydrology known as LCM2000. LCM2000 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. LCM2000 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors and also incorporates information derived from other ancillary datasets. LCM2000 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible. The series of LCM2000 products includes vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Note that the Band numberings in the dataset run from 1-11 rather than 0-10 and therefore each band relates to the one below it in the subclass code list. Full details about this dataset can be found at https://doi.org/10.5285/bff95455-9f28-48e5-a8d1-340fb79f9719

Tags: Habitats, Land Cover
Organization: Environmental Information Data Centre
High-resolution global topographic index values

The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are accounted for separately). Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution. PLEASE NOTE: This dataset is a correction to a previous version which was found to contain errors ( https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da ). In the previous version all pixels north of 4.57 degrees south were shifted consistently 9.3 km to the west. This version is correctly aligned at all points. Full details about this dataset can be found at https://doi.org/10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be

Tags: Hydrography, Topography, hydrological regimes, inundation, spatial data
Organization: Environmental Information Data Centre
Fortnightly soil respiration and related measurements from Climoor field site in Clocaenog Forest (2015-2016)

The data resource comprises of two datasets. The first dataset comprises of fortnightly measurements soil respiration, soil temperature, soil moisture and photosynthetic activity. The second data set comprises of fortnightly measurements of rainfall, throughfall and water table depth. Data were collected from the climate change field site Climoor that is located in Clocaenog forest, Northeast Wales during 2015 and 2016. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours and three plots where rainfall is excluded from the plots at least during the plants growing season (March to September,) All measurements of this dataset have been carried out every fortnight if not indicated otherwise. Rainfall in millimetres (mm) was measured at the site using a ground-level rain gauge. Rain throughfall (in mm) was measured in each plot using a funnel-bottle construction to collect rain water in the plant canopy. Water table depth was measured for each plot using a measuring tape. Soil respiration and related soil temperature and soil moisture were measured in three areas of each plot. Soil respiration was measured in pre-installed opaque soil collars (20 centimetre diameter) that were installed in 1999. An infra-red gas analyser (EGM-4) was used. Photosynthetic active radiation was measured above the canopy while the soil respiration measurement was conducted. The measurements were carried out by different groups of CEH Bangor staff. The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes. Plot level soil respiration measurements are important to investigate soil carbon dynamics and changes in soil carbon cycling and storage under the imposed climatic treatments. More detailed information about the field site, measurements and related datasets can be found in the supporting documentation. Soil respiration data for 1999-2015 are available from https://doi.org/10.5285/4ed6f721-b23b-454e-b185-02ba54d551f0 Full details about this dataset can be found at https://doi.org/10.5285/9df4ca6b-6c24-44f9-be25-0bd97ff9594e

Tags: Environmental Monitoring Facilities, North Wales, Soil Carbon, flux, infra-red gas analyser (EGM-4), plot level data, rainfall, soil respiration, soil temperature, throughfall, water table depth
Organization: Environmental Information Data Centre
LiDAR based Digital Terrain Model (DTM) data for South West England

This is a high resolution spatial dataset of Digital Terrain Model (DTM) data in South West England. The DTM along with a Digital Surface Model (DSM) cover an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DTM represents the topographic model (height) of the bare earth. The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project. There is also a Digital Surface Model (DSM) dataset covering the same areas available from the SW project. Full details about this dataset can be found at https://doi.org/10.5285/e2a742df-3772-481a-97d6-0de5133f4812

Tags: Elevation, South West England, South West project, Tamar catchment, Tellus
Organization: Environmental Information Data Centre
Biophysical measurements from Ethiopia's Awassa region during the drought and subsequent floods of 2015-2016

This dataset contains the biophysical measurements (mineral nitrogen, percent carbon, percent nitrogen, percent soil moisture, particle size analysis and aggregate stability) from soil collected from farmers' fields in the Halaba district, Southern Nations, Nationalities and Peoples' Region in Ethiopia, after the drought of 2015-2016. Eighteen farms from four kebeles (Asore, Lay Arisho, Konicha and 1st Choroko) were sampled. Soil cores were taken from fields classed as "home", "near" and "far" from the homestead and were taken from two depths (0-20cm and 20-50cm). Soil cores were taken after the El Niño event of 2015/16, so reflect the resilience of different areas of the farm to drought. This dataset was collected as part of the NERC-funded project Building Resilience in Ethiopia's Awassa region to Drought (BREAD). Full details about this dataset can be found at https://doi.org/10.5285/024c5a61-5114-41a6-93b8-e3fb4d24622b

Tags: BREAD, NE/P004830/1, Soil water, fertility zones within the household
Organization: Environmental Information Data Centre
Canopy temperatures from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023

The dataset provides raw infrared temperature data from a thermal camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The variable recorded is surface temperature, predominately of tree canopies (leaves, branches, stems). This site is a moist semi-deciduous tropical forest. The field of view of the camera includes a plot which was lightly selectively logged over 60 years ago. The trees included in the field of view are of a variety of species including both deciduous and evergreen species. Data were collected in order to assess the differences between species in their canopy temperature and for greater understanding of plant temperature regulation. Full details about this dataset can be found at https://doi.org/10.5285/ae09832e-3258-4619-9b9b-65e1c1d09960

Tags: Ghana, canopy temperature, semi-deciduous
Organization: Environmental Information Data Centre
Reservoir inflows and release data, and optimised monthly rule curve ordinates (upper, lower and critical) for Pong and Bhakra reservoirs in Northern India

Data comprise reservoir inflows and release data (including spills), evaporation loss and optimised monthly rule curve ordinates (upper, lower and critical) for Pong and Bhakra reservoirs in Northern India. Also included in the rule curve data are associated reservoir rationing ratios that can be applied to gross demand when rationing is also indicated. Data contain monthly Inflows, net-evaporation loss and release (all in million cubic metres, i.e. x 10^6 m^3) as simulated by WEAP for the Pong and Bhakra reservoir for the baseline (1989 - 2008); mid-century (2032-2050) and end-century (2082-2100) periods. The future inflows were based on forcing the WEAP model of the basin with climate projections of the GFDL-CM3 CMIP model The data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC. Full details about this dataset can be found at https://doi.org/10.5285/46135938-cc6c-44a0-b35b-f6e5f5dd1221

Tags: Sustaining Himalayan Water Resources in a Changing
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site location data 2021 v2

This dataset provides the details of all sites on which butterflies have been monitored as part of the UK Butterfly Monitoring Scheme (UKBMS). This includes all standard UKBMS transect sites, Wider Countryside Butterfly Survey (WCBS) sites and targeted species survey sites (timed counts, single-species transects, larval web and egg counts). Data includes the location within the UK, the length and number of sections for the butterfly transect on each site and the number of years each transect has been monitored. The location of some sites are sensitive and are excluded from this dataset. Users requiring access to the complete dataset, including sensitive site location data, can submit a request via the UKBMS website. The UKBMS started in 1976 with fewer than 50 sites. Since then the number of sites monitored each year has increased to several thousand. There are new sites each year and a small number where the transect is no longer surveyed. Details of this are provided in the site dataset in the form of the first and last year in which each site was surveyed. The majority of site data is provided by recorders at the time a transect is created. Site data are crucial in order to determine where extra recording effort is required and to investigate where butterfly populations are changing most and thus where conservation should be targeted, including across different habitat types. The UK Butterfly Monitoring Scheme is organized and funded by Butterfly Conservation (BC), the UK Centre for Ecology & Hydrology (UKCEH), 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/10.5285/1cfdcd20-afb8-4b58-9ab2-604b90f5242d

Tags: England, Environmental Monitoring Facilities, Northern Ireland, Scotland, UK-SCAPE, United Kingdom, Wales
Organization: Environmental Information Data Centre
Tsetse trypanosome and endosymbiont data from Hurungwe District, Zimbabwe (2016)

The data set includes the results of a laboratory analysis in 2016, investigating the presence of trypanosomes and prevalence of tsetse endosymbionts in tsetse flies. The tsetse flies were sampled in Hurungwe District, Mashonaland West Province, Zimbabwe, from February 2014 to November 2014. Flies were sampled using a combination of Epsilon traps and fly rounds, both established techniques for sampling tsetse. Tsetse were stored prior to laboratory analysis using Polymerase chain reaction (PCR) techniques in 2016. The data include two species of tsetse, Glossina pallidipes and Glossina morsitans morsitans. Trypanosome species investigated include Trypanosoma brucei s.l., T. b. rhodesiense, T. vivax, T. congolense, T. simiae, T.simiae (Tsavo) and T. godfreyi. Endosymbionts included in the study were Sodalis glossinidius and Wolbachia spp. Hurungwe District is the only sleeping sickness focus in Zimbabwe and an increase in cases had been detected in years preceding this study. The objective of the study was to investigate the trypanosome species present in the tsetse population and their association with tsetse endosymbionts. This study was conducted as part of research into the relationship between trypanosomiasis, well-being and ecosystems by the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/1e435dd3-ed93-4961-a136-ffa477731e1c

Tags: Dynamic Drivers of Disease in Africa Consortium (D, Sleeping sickness
Organization: Environmental Information Data Centre
Sediment yield measurements for fire-affected locations in the United Kingdom (2018-2019), Tenerife (2018-2019) and Australia (2019-2020)

This dataset describes sediment yields measured in three different locations and time periods after forest fires in UK, Spain and Australia: - Madre del Agua (Tenerife, Spain): 17/08/18 to 14/11/2019 - Thompson (Victoria, Australia): 13/05/19 to 14/01/2020 - Saddleworth (Manchester, UK): 03/08/18 to 30/10/2019 Data were collected using erosion plots and silt fences at hillslope scale to monitor sediment and ash transport during rain events. Full details about this dataset can be found at https://doi.org/10.5285/a0417339-2c2b-4f68-9f47-c77a58cf42ca

Tags: Wildfires, fire severity, sediment yield
Organization: Environmental Information Data Centre
River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines

The data set contains the Philippines bridge inventory, river migration geodatabase and source code to assess active river channel change (i.e. planform adjustments) using Landsat 5, 7 and 8 products in Google Earth Engine. The data set contains hydro-morphological and bridge characteristics for 74 bridges (> 200 m deck length) in the Philippines from 1988 to 2019 and is available in .csv and .shp format. For a given region of interest (ROI), the code will extract active river channel masks, calculate similarity coefficients between active river channel masks at decadal intervals and calculate active widths and centreline statistics. The code was used by Boothroyd et al. (in press) to investigate decadal river migration at critical bridge infrastructure in the Philippines. Full details about this dataset can be found at https://doi.org/10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5

Tags: Dice similarity coefficient, Fluvial geomorphology, Jaccard index, RivWidthCloud, river migration, stream network characteristics
Organization: Environmental Information Data Centre
UK museum specimen metadata and procrustes distance between left and right forewings, for five bumblebee species

Data comprise the collection label details of museums specimens for five bumblebee species (Bombus hortorum, B. muscorum, B. lapidarius, B. pascuorum and B. sylvarum) from five UK museums (Natural History Museum (London), National Museums Scotland, Oxford University Museum of Natural History, Tullie House Museum and Art Gallery, and World Museum (Liverpool)). The details include species, collector, date collected, location, and caste. The location for each specimen was geotagged using Google Maps’ Geocoding application programming interface. Each specimen had its left and right forewing landmarked, with the wing shapes aligned using a Procrustes alignment, and Procrustes distance between the wings calculated. The data came from a digitisation program as part of a NERC funded Standard Grant awarded to R. Gill (NE/P012574/1) and I. Barnes (NE/P012914/1). Full details about this dataset can be found at https://doi.org/10.5285/2696535e-564a-4c6a-877e-515996fa97a1

Tags: Bumblebee, Centuary, Distance, Environmental Monitoring Facilities, Fluctuating asymmetry, Museums, Procustes, Stress, Wing shape, insect declines
Organization: Environmental Information Data Centre
Moth abundance and pollen transport from lit and unlit matched pairs of arable field margins in south-east England

This dataset contains information about moth abundance and pollen transport at sites lit by high-pressure sodium streetlights and unlit control sites. Moths were sampled at 20 matched pairs of lit and unlit sites within 40 km of Wallingford, Oxfordshire, UK (51°35' N, 1°8' W) during 2014, as part of a study of the effects of street lighting on moths and nocturnal pollen transport. Three sampling methods were used: night-time transects, light-traps and overhead flight activity surveys. Moths captured were identified, counted, and sampled for pollen transported on the proboscis, which was in turn identified and counted. The work was supported by the Natural Environment Research Council (Grant ID: NE/K007394/1). Full details about this dataset can be found at https://doi.org/10.5285/31cc5cec-d33b-4dd6-a932-061ff947e708

Tags: Agro-ecosystems, Environmental Monitoring Facilities, flowers, light pollution, moths, pollination, population declines, sampling
Organization: Environmental Information Data Centre
Mortality surveys of large trees in Danum Valley and Sepilok Reserve, Sabah, Malaysia, 2019

This data represents a survey of all the large trees in permanent forest plots in Danum Valley and Sepilok Reserve, Sabah, Malaysia to determine whether they were dead or alive in 2019. The data consist of individual tree ids, which can be linked back to the plot inventory data, status and some details about the mode of death. Additional data for Danum Valley is available through the ForestGEO portal. Additional data for Sepilok reserve is available through forestplots website. Full details about this dataset can be found at https://doi.org/10.5285/cfbf27e7-44ce-404c-ab0a-0b079b18fd4f

Tags: Borneo, Tree mortality, mode of death
Organization: Environmental Information Data Centre
Sub-hourly discharge data for the Siksik catchment, North West Territories, Canada from September 2009 to September 2010

Data comprise sub-hourly discharge measurements including mean stream height, discharge and stream temperature collected at station S2 on the Siksik stream, North West Territories, Canada, between September 2009 and March 2010. Measurements were taken at a field site based at SikSik Creek a small sub-catchment of the Trail Valley Creek, approximately 60km north of Inuvik. The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming. Full details about this dataset can be found at https://doi.org/10.5285/1ee887d3-aabd-4fb7-b48e-056229a15c6f

Tags: Siksik catchment
Organization: Environmental Information Data Centre
Water chemistry and greenhouse gas emissions of UK water bodies, 2021-2022, from the LOCATE project

This dataset comprises water chemistry data for dissolved organic carbon (DOC), total dissolved nitrogen (TdN), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA), and dissolved CH4, CO2, N2O collected at sites across the UK in 2021 and 2022. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis. Floating gas collection chambers were deployed for 24 hours at selected sites to characterise diurnal greenhouse gas emissions from various types of inland water bodies and how these are affected by water body type and seasonality. These data were generated from the Land Ocean Carbon Transfer (LOCATE) project Full details about this dataset can be found at https://doi.org/10.5285/010fa679-71d8-4b5e-b2fd-2d2ce78d02ef

Tags: Environmental Monitoring Facilities, UK
Organization: Environmental Information Data Centre
Model outputs for simulation of soil organic carbon changes on a Red Soil agricultural site in China using integrated Hydrus 1-D hydrology

Data comprise soil organic carbon (SOC) content from soil simulations in a small agricultural catchment (Sunjia) which is part of the Critical Zone Observatory (CZO) in southeast China (Jianxi province). The simulations were performed using the ECOSSE model (a pool-based carbon and nitrogen turnover model) and soil and climate input data were provided by the research farm at the soil science department of the Chinese Academy of Sciences. Simulations were conducted in 2018. Full details about this dataset can be found at https://doi.org/10.5285/f8955c65-0103-4a26-9078-f34ec6a28676

Tags: ECOSSE model, Sunjia
Organization: Environmental Information Data Centre