AndreaBozzo/ceres-open-data-index huggingface dataset:
Loch Leven diatom counts 1968-2007

The dataset comprises counts of four planktonic diatom taxa collected from Loch Leven from 1968-2007 by staff at the Centre for Ecology & Hydrology and its predecessor bodies, as part of their long-term monitoring programme of the lake. Count units are the density of cells per millilitre of water for four species; Asterionella formosa, Aulacoseira spp, Diatoma spp, Unicellular centric diatoms. Counts are of weekly to monthly frequency and from a single sampling station Full details about this dataset can be found at https://doi.org/10.5285/de5ca6cc-02e9-42bc-a39e-80ec8acbffba

Tags: Environmental Monitoring Facilities, Unicellular centric diatoms
Organization: Environmental Information Data Centre
Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere South Basin, UK, 2024

This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at the South Basin of Windermere in Cumbria, England, that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Total ammoniacal nitrogen (NH4N), total oxidised nitrogen (TON), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 7m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. All data are from January 2024 until the end of 2024. Full details about this dataset can be found at https://doi.org/10.5285/a3cb5212-d174-400f-9775-4e2f699e91e3

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
United Kingdom Butterfly Monitoring Scheme: site location data 2017

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 (a small number of pilot sites started from 1973). 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 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. Full details about this dataset can be found at https://doi.org/10.5285/65396d52-3e27-499e-a1c6-b22b653d62ad

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) baseline vegetation data: 1991-2000

Baseline Vegetation data from the UK Environmental Change Network (ECN) terrestrial sites. These data are collected at all of ECN's terrestrial sites using a standard protocol (see supporting documentation). This was a one-off whole site baseline vegetation survey (though given the intensive nature of this survey, some sites did it over successive years) to generate a vegetation map and identify the areas within the site to be monitored. In this protocol up to 500 systemic 2m x 2m plots were surveyed and species presence recorded. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/a7b49ac1-24f5-406e-ac8f-3d05fb583e3b

Tags: Alice Holt, Drayton, Environmental Monitoring Facilities, Glensaugh, Hillsborough, NVC, National Vegetation Classification, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon, vascular plants
Organization: Environmental Information Data Centre
Historic Standardised Precipitation Index time series for IHU Groups (1862-2015)

[THIS DATASET HAS BEEN WITHDRAWN]. Standardised Precipitation Index (SPI) data for Integrated Hydrological Units (IHU) groups (Kral et al. [1]). SPI is a drought index based on the probability of precipitation for a given accumulation period as defined by McKee et al. [2]. 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 'Standardised Precipitation Index time series for IHU Groups (1961-2012)' [SPI_IHU_groups] (Tanguy et al., 2015 [3]), apart from the temporal extent, is the underlying rainfall data from which SPI was calculated. In the previously published dataset, CEH-GEAR (Keller et al., 2015 [4], Tanguy et al., 2014 [5]) was used, whereas in this new version, Met Office 5km rainfall grids were used (see supporting information for more details). Within Historic Droughts project (grant number: NE/L01016X/1), the Met Office has digitised historic rainfall and temperature data to produce high quality historic rainfall and temperature grids, which motivated the change in the underlying data to calculate SPI. The methodology to calculate SPI is the same in the two datasets. [1] Kral, F., Fry, M., Dixon, H. (2015). Integrated Hydrological Units of the United Kingdom: Groups. NERC-Environmental Information Data Centre doi:10.5285/f1cd5e33-2633-4304-bbc2-b8d34711d902 [2] 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. [3] Tanguy, M.; Kral., F.; Fry, M.; Svensson, C.; Hannaford, J. (2015). Standardised Precipitation Index time series for Integrated Hydrological Units Groups (1961-2012). NERC Environmental Information Data Centre. https://doi.org/10.5285/dfd59438-2170-4472-b810-bab33a83d09f [4] Keller, V. D. J., Tanguy, M., Prosdocimi, I., Terry, J. A., Hitt, O., Cole, S. J., Fry, M., Morris, D. G., and Dixon, H.: 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, 2015. [5] 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/10.5285/047d914f-2a65-4e9c-b191-09abf57423db

Tags: Integrated Hydrological Units, Meteorological geographical features, SPI, drought indicator, rainfall extremes
Organization: Environmental Information Data Centre
Environmental conditions at saiga calving and die-off sites in Kazakhstan, 1979 to 2016

This dataset describes environmental conditions at 135 Saiga antelope calving sites (from a total of 214) in Kazakhstan where the predictor variables required for the modelling were available at sufficient resolution. Data collected included climatic variables associated with haemorrhagic septicaemia in the literature, including humidity, temperature and precipitation. Indicators of vegetation biomass, phenology and length of the winter preceding calving were represented using the Normalised Difference Vegetation Index (NDVI), snow depth and snow presence data. Saiga antelope are susceptible to mass mortality events (MME), the most severe of which are caused by haemorrhagic septicaemia following infection by the bacteria Pasteurella multocida. These die-off events tend to occur in May during calving, when saigas gather in dense aggregations. As the bacteria is a commensal organism, which may live harmlessly in the respiratory tract of the saiga, it is believed that an environmental trigger is involved in a shift to virulence in the pathogen or reduction in immune-competence in the host. The attached data show environmental conditions at a set of calving sites of the Betpak-dala population of saigas. This population, one of three in Kazakhstan, is located in the central provinces of the country and is the only one in which massive haemorrhagic septicaemia outbreaks have been recorded. At most of the recorded sites, calving progressed normally, whilst at others mass mortality events occurred during calving or just afterwards, namely in 1981, 1988 and 2015. A set of environmental predictor variables was used to model the probability of an MME at calving aggregations. The dataset, modelling process and results are described in Kock et al. (2018): http://advances.sciencemag.org/content/4/1/eaao2314 A related shapefile of the full set of 214 sites, and metadata concerning site characteristics and the provenance of the location data is available at: https://catalogue.ceh.ac.uk/id/8ad12782-e939-4834-830a-c89e503a298b The attached dataset and site metadata in the above-mentioned Shapefile attribute table can be combined using the variable ID in order to merge the environmental data with information on the calving and MME sites. Full details about this dataset can be found at https://doi.org/10.5285/912ea336-ac90-418f-be6a-7ae226e167e9

Tags: Environmental variables, Saiga antelope
Organization: Environmental Information Data Centre
Lightning strike locations and characteristics in Nyungwe National Park, Rwanda, surveyed in June 2022 and October 2023

The dataset details the locations and attributes of canopy disturbances in Nyungwe National Park, Rwanda, that were suspected to have been caused by lightning strikes. Disturbances were located by surveying 23 km of trails and assessing whether disturbances (clusters of dead or damaged trees) had damage signatures consistent with lighting. Only disturbances that were thought to potentially have been caused by lightning were recorded. As well as providing a qualitative assessment of the confidence that the damage was caused by lightning, the dataset contains the number of dead and damaged trees in different size classes, as well as the taxonomic identity and degree of crown damage experienced by canopy trees within the putative strike. Photographs of a subset of strikes are also provided. Data were collected as part of the project Lightning in African tropical forests: from tree mortality to carbon dynamics (NE/W003872/1). Full details about this dataset can be found at https://doi.org/10.5285/d47e78bc-2227-4bc7-90ae-9ec871c52bec

Tags: Africa, African tropical forests, Afromontane forest, Atmospheric Conditions, Rwanda
Organization: Environmental Information Data Centre
Biomass, mycorrhizal colonization, carbon and nitrogen content of Scots pine and birch seedlings grown in soil from mixed and monoculture stands

Seedlings were grown in soil collected from an experiment at Hambleton Forest, North Yorkshire. Soils originated from plots containing either Scots pine or birch monocultures, or a mixture of both species. In the lab, pairs of seedlings of birch and Scots pine were grown as monocultures and mixtures from each of the three plot treatments. The data represent the biomass, leaf C:N ratio and mycorrhizal status determined after 20 weeks. Full details about this dataset can be found at https://doi.org/10.5285/7991871e-382f-422f-b5b2-91b4f6d8598f

Tags: Ectomycorrhiza, Environmental Monitoring Facilities, Hambleton Forest, North Yorkshire, Plantation, Productivity, Scots pine, birch, seedling
Organization: Environmental Information Data Centre
Areas affected by landslides following Typhoon Parma in Itogon, Philippines, October 2009

This dataset contains the areas affected by landslides triggered by Typhoon Parma in the area of Itogon (Benguet, Philippines) between the 2nd and 5th October 2009. The polygons were mapped using Google Earth imagery dated 31 December 2003 for pre-event and images and 31 December 2009 for post-event images. The area has an extension of 150 km2. Full details about this dataset can be found at https://doi.org/10.5285/2e15dbd2-71c3-4e86-aa90-6029d37bd417

Tags: debris flow
Organization: Environmental Information Data Centre
Soil moisture data obtained from prototype neutron probes at a rain-fed field site, Goias state, Brazil, 2023

This dataset contains daily soil moisture estimates measured using prototype cosmic ray neutron sensors. The sensors were deployed in a rain-fed site in the state of Goias, Brazil. Volumetric water containment measurements were taken hourly between August and December, 2023. These were combined into daily averages after correcting for environmental effects in the sensor readings. This dataset was created to study the potential for using distributed cosmic ray sensors to support data driven irrigation optimisation, supported by NERC (NE/W004364/1). Full details about this dataset can be found at https://doi.org/10.5285/36df3345-277d-4efa-9b98-9140dbea5c4f

Tags: cosmic-ray sensor
Organization: Environmental Information Data Centre
GPS tracking data for 32 individual European nightjars in Humberhead Peatlands NNR from 2015-2018

This dataset contains GPS data fixes (WGS84 format) from 32 European nightjars (Caprimulgus europaeus) . The data contains additional information on identity of the bird, date, time of fix acquisition, and the associated site and night number (between 6 and 17 nights of data, varying between individuals). These data were collected on the Humberhead peatlands NNR, South Yorkshire, from 2015 until 2018. Birds were caught in mist nets and tail-mounted miniaturised GPS tags (Pathtrack, Otley, UK; <3% bird bodyweight) were fitted by BTO-licensed researchers. Data were collected as part of a NERC ACCE-funded PhD. Full details about this dataset can be found at https://doi.org/10.5285/aa20f8c4-bbdb-4dfa-82b4-b9b3fd8f34eb

Tags: Species Distribution
Organization: Environmental Information Data Centre
Seedling growth responses to experimental soil warming in a tropical forest, Panama, 2016-2022

Growth parameters for tree seedlings in a lowland tropical forest in Panama, subject to experimental soil warming. The experiment is situated at the Soil Warming Experiment in Lowland Tropical Rainforest (SWELTR) on Barro Colorado Island in Panama, where the whole soil profile is subject to warming by 4-degrees. Seedling species are Inga laurina, Ormosia macrocalyx, Tachigali versicolor, Lacmellea panamensis, Protium pittieri and Virola surinamensis. Data are seedling parameters: relative growth rates, height change over time, herbivory index, light-saturated photosynthesis (Amax), leaf chlorophyll concentration, light (photosynthetic photon flux density; PPFD). We also determined soil nutrient (N and P) mineralisation for the same period using in situ ion-exchange resins each month. Data were collected over the period 2016 to 2020, following 3 years of soil warming. Photosynthesis and leaf chlorophyll content index data were collected in field campaigns during 2019 and 2022, respectively. Full details about this dataset can be found at https://doi.org/10.5285/3a4aabba-e790-4ac3-b845-936790768330

Tags: plant-soil interactions, seedling growth, soil warming
Organization: Environmental Information Data Centre
Land Cover Map 2020 (1km summary rasters, GB and N. Ireland)

This 1 km summary pixel data set represents the land surface of Great Britain and Northern Ireland, classified using two classification schemas: target and aggregate classes. The target class schema comprise 21 UKCEH land cover classes based upon Biodiversity Action Plan broad habitats. The aggregate class schema comprises 10 aggregate classes that are groupings of the 21 target classes. The aggregate classes group some of the more specialised target classes into more general classes. For example, the five coastal classes in the target class are grouped into a single aggregate class. The 1km percentage products describe percentage cover for each of the 21 land cover classes for 1km x 1km pixels. These contain one band per habitat class, producing 21 images for the target class product and 10 images for the aggregate class product. The 1km dominant coverage products are based on the 1km percentage products, and describe the land cover class with the highest percentage cover for each 1km pixel. A full description of these and all UKCEH LCM2020 products are available from the LCM2020 product documentation which accompanies the data. Full details about this dataset can be found at https://doi.org/10.5285/d6f8c045-521b-476e-b0d6-b3b97715c138

Tags: Biodiversity Action Plan, Great Britain, Land Cover, UK-SCAPE
Organization: Environmental Information Data Centre
Soil moisture, temperature and bulk density and earthworm abundance and biomass along transects from hedges into arable fields, pasture fields, ley strips established in arable fields and arable strips established in pasture fields at a farm in West Yorkshire.

[THIS DATASET HAS BEEN WITHDRAWN]. Data are presented on earthworm abundance with distance from hedgerows was recorded for arable fields and pasture leys at Spens farm, the University of Leeds experiment farms, Yorkshire. Sampling was carried out annual from April 2015 to April 2017 with additional sampling in December 2015, and July and October 2016. Pits were excavated and soil hand sorted for earthworms. Mustard solution was then poured into the pit and any emerging earthworms collected. All earthworms were preserved in ethanol for identification using the Sims and Gerard Field studies key. At each pit the following measurements were also taken: soil moisture, soil temperature, soil bulk density. The samples were taken to determine the influence of leys on soil quality by Miranda Prendergast-Miller and colleagues as part of the SoilBioHedge project (Grant Reference NE/M017095/1) funded by the NERC Soil Security Programme. (Grant Reference NE/M017044/1). Full details about this dataset can be found at https://doi.org/10.5285/8ac670c7-17d8-433f-847c-170eeeb3ee47

Tags: Environmental Monitoring Facilities
Organization: Environmental Information Data Centre
Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) nutrient exchange fluxes between sediment cores and overlying site water

Nutrient exchange fluxes in the dark and light, calculated in moles per hour per square metre, between sediment cores and overlying site water in salt marsh and intertidal mudflat locations in Essex and Morecombe Bay, Lancashire in January and August 2013. Net fluxes of nitrate, nitrate, ammonium, oxygen and dissolved organic carbon were measured in temperature controlled water baths over three hour periods. 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/10.5285/740348c5-796b-4a28-bc7f-b0eaf1ee3452

Tags: BESS, CBESS, Habitats and Biotopes, nutrient fluxes
Organization: Environmental Information Data Centre
Measurement of labile metal in soils. Chemical extraction and isotopic dilution data

This dataset contains the concentrations of Ni, Cu, Zn, Cd and Pb, extracted from four soils, using the chemical extractants: 0.43 M HNO3, 0.43 M CH3COOH, 1 M CaCl2 and 0.05 M Na2H2EDTA (MExt mg/kg). The concentrations of isotopically exchangeable (labile) Ni, Cu, Zn, Cd and Pb (EValue mg/kg) are also given. Additionally, the concentrations of isotopically exchangeable soil metal, measured when the soils when suspended in each of the above extractants (EExt mg/kg), are presented. Full details about this dataset can be found at https://doi.org/10.5285/4ecdb4b3-3af6-4c92-abbb-20a330be398b

Tags: Soil, dilution, extraction, labile, measurement
Organization: Environmental Information Data Centre
UK Environmental Change Network (ECN) moth data: 1992-2015

Moth data from the UK Environmental Change Network (ECN) terrestrial sites. Counts of individual species are recorded. These data are collected by moth traps at all of ECN's terrestrial sites using a standard protocol.They represent continuous nightly records from 1992 to 2015. ECN is the UK's long-term environmental monitoring programme. It is a multi-agency programme sponsored by a consortium of fourteen government departments and agencies. These organisations contribute to the programme through funding either site monitoring and/or network co-ordination activities. These organisations are: Agri-Food and Biosciences Institute, Biotechnology and Biological Sciences Research Council, Cyfoeth Naturiol Cymru - Natural Resources Wales, Defence Science & Technology Laboratory, Department for Environment, Food and Rural Affairs, Environment Agency, Forestry Commission, Llywodraeth Cymru - Welsh Government, Natural England, Natural Environment Research Council, Northern Ireland Environment Agency, Scottish Environment Protection Agency, Scottish Government and Scottish Natural Heritage. Full details about this dataset can be found at https://doi.org/10.5285/a2a49f47-49b3-46da-a434-bb22e524c5d2

Tags: Alice Holt, Drayton, Environmental Change Network, Environmental Monitoring Facilities, Glensaugh, Hillsborough, ILTER, LTER, Moor House - Upper Teesdale, Moth species, Moth trap, North Wyke, Rothamsted, Sourhope, Wytham, Yr Wyddfa - Snowdon, light trap
Organization: Environmental Information Data Centre