AndreaBozzo/ceres-open-data-index huggingface dataset:
Vertical profile data of light transmission in Atlantic forests along a disturbance gradient

The data set contains vertical profiles of diffuse light transmittance measured within six forest plots in montane Atlantic forest, São Paulo state, Brazil. The plots measured include intact, previously logged and secondary forest in a large continuous forest block of the Serra do Mar State Park (Parque Estadual de Serra do Mar), and two forest fragments outside the park. In each plot 10 - 12 individual light profiles were recorded; the data set contains these individual profiles and averages profiles for each plot based on both height above the ground and depth below the canopy. Each profile was measured only once. Data was collected March - November 2015 as part of the NERC Human modified Tropical Forest Programme. Full details about this dataset can be found at https://doi.org/10.5285/4f3cf9f6-d7e5-4ae0-87c9-064b4e66a92a

Tags: Atlantic forest, diffuse light, disturbance, fragmentation, logging, montane, secondary forest
Organization: Environmental Information Data Centre
Historic Gridded Standardised Precipitation Index for the United Kingdom 1862-2015 (generated using gamma distribution with standard period 1961-2010)

[THIS DATASET HAS BEEN WITHDRAWN]. 5km gridded Standardised Precipitation Index (SPI) data for Great Britain, which is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [1]. SPI is calculated for different accumulation periods: 1, 3, 6, 12, 18, 24 months. Each of these is in turn calculated for each of the twelve calendar months. Note that values in monthly (and for longer accumulation periods also annual) time series of the data therefore are likely to be autocorrelated. The standard period which was used to fit the gamma distribution is 1961-2010. The dataset covers the period from 1862 to 2015. NOTE: the difference between this dataset with the previously published dataset 'Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]" (Tanguy et al., 2015 [2]), apart from the temporal and spatial extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR (Keller et al., 2015 [3], Tanguy et al., 2014 [4]) was used, whereas in this version, Met Office 5km rainfall grids were used (see supporting information for more details). The methodology to calculate SPI is the same in the two datasets. [1] McKee, T. B., Doesken, N. J., Kleist, J. (1993). The Relationship of Drought Frequency and Duration to Time Scales. Eighth Conference on Applied Climatology, 17-22 January 1993, Anaheim, California. [2] Tanguy, M.; Hannaford, J.; Barker, L.; Svensson, C.; Kral, F.; Fry, M. (2015). Gridded Standardized Precipitation Index (SPI) using gamma distribution with standard period 1961-2010 for Great Britain [SPIgamma61-10]. NERC Environmental Information Data Centre. https://doi.org/10.5285/94c9eaa3-a178-4de4-8905-dbfab03b69a0 [3] Keller, V. D. J., Tanguy, M., Prosdocimi, I., Terry, J. A., Hitt, O., Cole, S. J., Fry, M., Morris, D. G., and Dixon, H. (2015). CEH-GEAR: 1 km resolution daily and monthly areal rainfall estimates for the UK for hydrological use, Earth Syst. Sci. Data Discuss., 8, 83-112, doi:10.5194/essdd-8-83-2015. [4] Tanguy, M.; Dixon, H.; Prosdocimi, I.; Morris, D. G.; Keller, V. D. J. (2014). Gridded estimates of daily and monthly areal rainfall for the United Kingdom (1890-2012) [CEH-GEAR]. NERC Environmental Information Data Centre. https://doi.org/10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e Full details about this dataset can be found at https://doi.org/10.5285/ed7444fc-8c2a-473e-98cd-e68d3cffa2b0

Tags: Historic grids, Meteorological geographical features, SPI, Standard precipitation index, drought indicator, rainfall extremes
Organization: Environmental Information Data Centre
Dewaterability potential of anaerobic digestate and biomass ash blends using polymer dose approach

The dataset contains the chemical composition of anaerobic digestates derived from source-segregated food waste & agro-waste, with and without biomass ash, after the addition commercial polymer to enhance dewaterability. A preliminary experiment was carried to determine the type of polymer and its optimum dose (WP1A1). Then, polymer was added to digestate and digestate/ash blends, let react for short-time and physically separated into their fiber and liquid fractions (WP1A2). These experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. Preliminary experiment (WP1A1) contains data on polymer type, dose and mass added as well as supernatant and solids separated. Main experiment contain data on masses (dry & total solids), supernatant volume, pH and plant macro-nutrients profile (total concentration of Ca, Mg, P, K, TKN and S). Full details about this dataset can be found at https://doi.org/10.5285/2977fc7b-f83e-4696-b06b-2f589ffa6965

Tags: Biomass ash, Dewaterability, Energy Resources, Polymer, United Kingdom
Organization: Environmental Information Data Centre
Cryptosporidium in upland water biota, United Kingdom (2012-2015)

These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various upland influenced sites from around Wales between 2012 and 2015 and were collected. Additionally, otter samples from UK-wide project were also tested. Sample collection was primarily undertaken by DURESS researchers at Cardiff University. Sample testing and analysis was performed at the Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea. DNA was extracted using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples. These data were collected to provide new information required for the production of a catchment pathogen model to inform ecosystems (dis)services analysis of land use change scenarios for the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project, part of the NERC Biodiversity and Ecosystem Service Sustainability (BESS) BESS Programme. Full details about this dataset can be found at https://doi.org/10.5285/84242834-dc78-49a6-83cb-951edac65d18

Tags:  Diversity of Upland Rivers for Ecosystem Service , Biofilm, Cryptosporidium, DURESS, Human Health and Safety
Organization: Environmental Information Data Centre
Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020

The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility of outburst. Full details about this dataset can be found at https://doi.org/10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8

Tags: Glacial lake outburst floods, Hazard exposure, Object-based assessment 
Organization: Environmental Information Data Centre
Conwy stream and estuary water quality data (2013-2016) [Turf2Surf]

The data comprise water quality measurements taken from streams and rivers in the Conwy catchment and its estuary from March 2013 to October 2016. Depending on water type and sampling location the data consist of concentrations of major cations and anions, pH, conductivity, alkalinity, suspended material and coliforms. Samples were collected manually or by automatic sampler. Analysis was carried out at the Centre for Ecology & Hydrology (CEH) Bangor, CEH Lancaster and Bangor University laboratories. The data were collected provide information on the relationship between stream water quality, primarily macronutrient concentrations, and catchment and hydrological characteristics. The data are used to drive a catchment scale water quality model, and to investigate nutrient ratios and limitation with respect to land cover and management. All sampling and analysis was carried out by trained members of staff from the Centre for Ecology & Hydrology and Bangor University. This data was assembled under the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (Turf2Surf). Full details about this dataset can be found at https://doi.org/10.5285/32392c33-8cbe-434a-a582-ab8425a5062c

Tags: Automatic sampling, Conwy catchment, Environmental Monitoring Facilities, MCP, Macronutrient Cycling Programme, T2S, Turf2Surf, Water Quality
Organization: Environmental Information Data Centre
Bacteroides phages recovered from human and animal faecal matrices in rural Kenya

This data describes the recovering and isolation processes of Bacteroides spp. strains from human and cattle faecal sources from rural areas in Siaya County (Kenya), and occurred between 7th and 28th of June 2018. The data also includes the detection of bacteriophages (infecting these Bacteroides spp. host strains) in conjunction with traditional faecal indicator organisms in water sources from Kisumu and Siaya County (Kenya) occurring between June 18th 2018 and June 13th 2019. Exact location (coordinates) of the sample points are also described in the data set. A microbiological technique using Bile Esculin Bacteroides (BBE) agar was used for the recovering and isolation processes of Bacteroides spp. strains. Standard ISO (7899-2, 9308-1, 10705-2 and 10705-4) techniques, such as membrane filtration and the double-agar-layer methods, were used for the detection of bacteriophages and traditional faecal indicator organisms. The purpose of data collection was to develop new markers that could identify cattle and/or human sources of faecal contamination, which could be used as part of a Microbial Source Tracking (MST) tool box. Technicians and researchers from the University of Brighton (UK), University of Southampton (UK), from the Victoria Institute for Research on Environment and Development (VIRED) (KE) and from the Kenya Medical Research Institute (KEMRI) (KE) were responsible for the collection and interpretation of data. Full details about this dataset can be found at https://doi.org/10.5285/02c8a6b0-e59e-4278-b9a2-9958cd5a2c3c

Tags: Bacteroides, Faecal Indicator Organisms (FIO), Kenya, Microbial Source Tracking (MST), bacteriophages
Organization: Environmental Information Data Centre
Carbon dioxide and methane fluxes and associated environmental observations between 2019 and 2021 from paired burned/unburned blanket bog undergoing restoration from afforestation at Forsinard, Sutherland, UK

This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), methane (CH4) and meteorological observations measured at two locations in the Flow Country blanket bog complex, Caithness and Sutherland, UK. The tower over the area affected by wildfire after initial felling (UK-DKF) is located at 58.431, -3.96 and monitors across a footprint affected by a wildfire in early May 2019. The tower over the area felled for restoration after previous afforestation (UK-DKE-RESTORED, which was not affected by the wildfire) is located at 58.428, -3.967 and measures fluxes from a footprint identical in ground flora, topography, soil type and previous management to that of the FIRE tower, with the only exception that the fire did not reach as far as the footprint monitored. The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. The time period covered in this dataset is 25/09/2019 – 20/05/2021. Full details about this dataset can be found at https://doi.org/10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3

Tags: Atmospheric Conditions, Peatland, greenhouse gas flux, latent heat, restoration, sensible heat, wildfire
Organization: Environmental Information Data Centre
Tree sapling sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, Tucumán, Argentina, 2021-2023

The following dataset contains information on saplings of woody plant species in invaded subtropical mountain forests (Yungas) over three years. The forests were located in the Horco Molle Experimental Reserve and Parque Sierra de San Javier, Tucumán, Argentina. The data was collected as part of an experiment to investigate the impact of management control on the invasion of non-native species such as Ligustrum lucidum, and other less abundant non-native species, on the dynamics of the woody community. The experiment was conducted between June 2020 and November 2023. This work was carried out as part of NERC grant NE/S011641/1 “Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management”. Full details about this dataset can be found at https://doi.org/10.5285/4311fa93-fdcc-43bd-bb2e-185118c06ed7

Tags: Invaded forests, Invasive alien species management, Ligustrum lucidum, Montane forest, Renewals, Subtropical secondary forest, Super invader, saplings
Organization: Environmental Information Data Centre
Hydrological modelling and simulation data for the River Trent at Colwick under climate change

This data contains the time series flow discharge results of hydrological simulation of the River Trent at Colwick using UKCP09 Weather Generator inputs for a variety of time slices and emissions scenarios. The Weather Generator (WG) inputs were run on a hydrological model (Leathard et al., unpublished), calibrated using the observed record 1961-2002. Each simulation is derived from one-hundred, 30-year time series of weather at the WG location 4400355 for Control, Low, Medium and High emissions scenarios for the 2020s, 2030s, 2040s, 2050s and 2080s time slices. The datasets include the relevant accompanying input WG data. Full details about this dataset can be found at https://doi.org/10.5285/986d3df3-d9bf-42eb-8e18-850b8d54f37b

Tags: Hydrography, River Trent
Organization: Environmental Information Data Centre
Pollen production values of common British plant species

This dataset provides pollen production values for 168 common plant species found in the UK. The dataset consists of pollen volume per flower, calculated from pollen grain number and pollen grain size. Pollen data can be useful in identifying the high pollen producing species for pollinator conservation and it can be combined with floral surveys to estimate the pollen production of plant communities. Full details about this dataset can be found at https://doi.org/10.5285/0b454d53-dfe7-48fd-9e18-b683d004b159

Tags: British plants, Floral resources, Habitats and Biotopes, Nectar, Pollinators, Species Distribution, UK, Wild flowers
Organization: Environmental Information Data Centre
A-Ci, photosynthetic capacity and dark respiration data along an elevation/temperature gradient in the Colombian Andes, 2019

This dataset includes key photosynthesis and respiration data collected from three common garden sites along an elevation/temperature gradient in the Colombian Andes. Raw A-Ci data, the Vcmax (carboxylation of RuBP by the enzyme Rubisco) and Jmax (the regeneration of RuBP by the electron transport chain) values estimated from this data, and Rdark (leaf dark respiration) values collected using spot measurements, are all available, along with variables such as leaf temperature (°C), relative humidity (%) and pressure values (kPa) returned by the LI-6800 portable photosynthesis system. Full details about this dataset can be found at https://doi.org/10.5285/60dd0b8f-f0c3-4e30-841b-1c2067052974

Tags: Andean Montane Forests, Colombian Andes, Jmax, Rdark, Vcmax, acclimation
Organization: Environmental Information Data Centre
Methane transport through an agricultural soil following pulse injection of isotopically-enriched methane in the sub-surface

Data comprise methane and carbon dioxide concentrations in soil following injection of discrete pulses of methane into subsoil (50 cm depth) below a spring wheat crop during the growing season. Supporting data on soil moisture, soil temperature and meteorology are provided. The data may be useful for testing models of methane and carbon dioxide transport and fate in temperate agricultural soils. Full details about this dataset can be found at https://doi.org/10.5285/18939865-d863-498b-b4cb-5661eaeadcfc

Tags: Soil, delta C-13, migration, radioecology
Organization: Environmental Information Data Centre
Land Cover Map 1990 (1km dominant target class, GB) v2

This dataset consists of the 1km raster, dominant target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. 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/f5e3bd00-efd0-4dc6-a454-aa597d84764a

Tags: Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre
Occurrence data at 10km resolution for terrestrial mammals in Great Britain and Northern Ireland, 1960-1992 and 2000-2016

[THIS DATASET HAS BEEN WITHDRAWN]. This dataset contains 10km summarised occurrence data for terrestrial mammals as mapped in the Atlas of Mammal of Great Britain and Northern Ireland published by the Mammal Society in 2020. For each species 10km grid squares were categorised based on whether the species was recorded in that square only the current atlas time period (2000-2016), only the previous atlas time period (1960-1992) or in both time periods. The dataset contains data for all species mapped in the atlas, with the exception of cetaceans which are not included in the dataset. Full details about this dataset can be found at https://doi.org/10.5285/422adbc3-306e-437a-9fe1-c7b53a374f87

Tags: Mammal atlas, Occurrence, Species Distribution
Organization: Environmental Information Data Centre
Impact of environmental radiation on the health and reproductive status of fish from Chernobyl, Ukraine 2014 to 2015

Data comprise health, reproductive status and relative abundance of mature perch and roach collected in September 2014, March 2015, June 2015 and September 2015 from lakes in Belarus and Ukraine. Measurements presented include age, weight, length, presence of external signs of disease and presence of macroscopic tumors. The Fulton condition index (K), hepatosomatic index (HSI) and gonadosomatic index (GSI) of fish are also presented. The lakes (selected according to hydrological properties and long-term exposure to a gradient of radiation dose) are situated at distances from 1.5 to 225 km of the Chernobyl NPP. Glubokoye, Yanovsky lakes and Cooling Pond are the high (H) contaminated lakes, Svyatoye Lake is a medium (M) contaminated lake, and Stoyacheye, Dvoriche and Gorova lakes are the low (L) contaminated lakes. Full details about this dataset can be found at https://doi.org/10.5285/02a53248-1bfd-4f1e-8f76-888551635c98

Tags: Chernobyl, Chornobyl
Organization: Environmental Information Data Centre
Land Cover Change 1990-2015 (25m raster, N. Ireland)

This dataset consists of the 25m raster, Land Cover Change 1990 - 2015 product for Northern Ireland. The dataset is produced from the Land Cover Map (LCM) 25m raster versions of LCM1990 and LCM2015 and reports Land Cover Change between 1990 and 2015 in six simplified classes. The product consists of five bands: Band 1 – a raster version of LCM1990 in the six simplified classes; Band 2 – a raster version of LCM2015 in the six simplified classes; Band 3 – a binary layer, where 0 means no change between 1990 and 2015 and 1 means change between 1990 and 2015; Band 4 – shows the 'change from' class; Band 5 – provides the 'change to' class. Full details of the Land Cover Change dataset are provided in the Land Cover Change dataset documentation, which users should consult. 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/a747aa7a-c875-42e1-ac31-984f6571f446

Tags: Land Cover, Northern Ireland, UK-SCAPE
Organization: Environmental Information Data Centre
Land Cover Map 2024 (land parcels, N. Ireland)

This is a vector data set representing the land surface of Northern Ireland, classified into 21 UKCEH land cover classes, based upon Biodiversity Action Plan broad habitats. This vector Land Parcel dataset is the result of intersecting the 10m raster classified pixel dataset with the UKCEH Land Parcel Spatial Framework to generate summary land parcel attributes for each land cover parcel. A full description of this and all UKCEH LCM2024 products are available from the LCM2024 product documentation. Full details about this dataset can be found at https://doi.org/10.5285/99ecdc84-5313-48c2-9fad-6a5e8ad3953e

Tags: Biodiversity Action Plan, Land Cover, Northern Ireland
Organization: Environmental Information Data Centre
The Fourier Transform Infrared Spectroscopy (FTIR) spectra of poly(hydroxybutyrate)-based systems with clay additives changing crystallisation kinetics recorded at ambient temperature

The dataset contains spectra of Poly(hydroxybutyrate) – PHB – systems performed at ambient temperature. The data was collected using Fourier Transform Infrared Spectroscopy (FTIR), using two types of clay (10A and 25A) that act as a nucleating agent in polymer matrix. Full details about this dataset can be found at https://doi.org/10.5285/6b29f79b-c534-40f2-bbb1-8b4dbb397af2

Tags: Environmental Monitoring Facilities, FTIR, PHB, biodegradable polymers, isothermal crystallisation
Organization: Environmental Information Data Centre