cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/73108b81-bb17-48be-b50f-bbf47ed001ce
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Esthwaite Water, UK, 2023

description: 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 Esthwaite Tarn in Cumbria, England. 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 5 m. Water chemistry values below the detection limit, are indicated by a < sign in the column titled ‘sign(if<LOD)’. All data are from January 2023 until the end of 2023.
description: Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations, or staff shortage.
Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.
DOI: 10.5517/ccdc.csd.cc2pzx8w
title: CCDC 2502359: Experimental Crystal Structure Determination

description: Related Article: Merzweiler, Kurt, Halz, Jan Henrik|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/481c424e-f277-4eb7-9ee0-cbdb5532ef79
title: Oxidative stress markers in banded mongooses in Queen Elizabeth National Park, Uganda, 2017-2021

description: The dataset includes markers of oxidative state in banded mongooses at Queen Elizabeth National Park, Uganda, in the period 2017-2021.
Data are: red blood cell concentrations of glutathione; blood plasma concentrations of malondialdehyde; blood plasma concentrations of protein carbonyls; red blood cell activity of total superoxide dismutase; and whole milk concentrations of malondialdehyde. 

description: Individuals were blood sampled from the jugular vein under general anaesthesia. Samples were collected into EDTA-coated Vacutainers before plasma and erythrocytes were separated by centrifugation then snap frozen in liquid nitrogen within 10 minutes of collection. Samples were shipped to the UK within 3 months under cryogenic conditions, and stored at -80C until analysis.
Analyses were performed blindly with respect to sample identity, and all steps were conducted on ice. All chemicals were HPLC grade, and chemical solutions were prepared using Milli-Q water. Assays were conducted within one year of collection.
Malondialdehyde was determined by HPLC with fluorescence detection (Agilent 1000). Protein carbonyls, glutathione and superoxide dismutase were determined using colorimetric assay kits (Cayman Chemical Company) and a Molecular Devices plate reader (Spectramax M2).
DOI: 10.5285/4ef558d2-05d4-4ae2-988e-a5c2450b95dd
title: Serial water body maps for the Barotseland Region, Western Zambia

description: The dataset provides raster gridded estimates of open water and inundated vegetation for the Barotseland Region in Western Zambia. There are a total of 55 images covering the period 2016-2019 at a spatial resolution of 10m. The images were generated using an automatic classification routine applied to Sentinel-1 radar imagery, with classification refinements made using ancillary datasets such as the Global Urban Footprint, and the Height Above Nearest Drainage terrain derivative generated using SRTM digital elevation data. These data are valuable for a range of applications including public health and water resources. 
description: The dataset was created as part of the NERC funded FloodMal project. Classification outputs were validated using coincidental high resolution PlanetScope (4 m) optical imagery, supported by field campaigns in September 2018, May 2018 and March 2017, recording the presence and characteristics of water bodies.
For further details please see supporting information.
DOI: 10.5285/6e70665f-b558-4949-b42a-49fbaec7e7cc
title: Leaf area index (LAI) in fertilised plots in the Central Amazon, 2017-2018

description: The dataset contains the leaf area index (LAI) (m2/ m2 ) collected with the LAI-2200 C (plant canopy analyzer), that was computed with 5, 4 and 3 rings using the FV2200 software. Additionally, it has the x and y coordinates (m) of the points collected inside the plots and the time of collection (hour: min: sec).  

This research was collected in a field site approximately 80 km north of Manaus, in the state of Amazonas, Brasil.

The campaigns were carried out in October 2017, March 2018, August 2018 and October 2018.
description: The points were collected in 36 points inside the plot with the LAI -2200 C (plant canopy analyzer) . The data were collected from 6 am to 5 pm, avoiding recording data between 12:00 and 2:00 pm, to avoid direct sun. The LAI-2200 C requires an above canopy reading for reference, and in our case the optical sensor was placed in a clearing to log automatically while the user operator collected manually below the canopy. The sensors were always placed in the same compass direction ( both in the west in the morning and east in the afternoon). We used a view cap of 45 °C in the sensors to remove the operator from the sensor’s view. The sensors were matched before the data collection, as recommended in the manual.

The row data were analysed using the FV2200 software, where LAI was obtained (m2 one sided foliage area/ m2 ground area), that was computed with 5, 4 and 3 rings, and each ring respond over a different range of zenith angles.
DOI: 10.5285/78ca9a01-107b-4f33-8561-9c3e64db7e02
title: Soil metrics and vegetation data from pasture fed livestock farms across Great Britain, 2018

description: This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of farm management relating to a single field on each sampled farm.   Data were collected in 2018, from farms across Great Britain belonging to the Pasture Fed Livestock Association (PFLA).  

The data were collected by the UK Centre of Ecology & Hydrology, during a project funded by the BBSRC, seeking to evidence the impacts of pasture fed livestock approaches on grassland parameters, in particular, sward composition and associated soil qualities.
description: Data were collected by trained members of UKCEH staff, according to standardised protocols in the summer of 2018.  Vegetation and management records were collected on electronic recording devices.  Soil samples were analysed at UKAS Accredited labs at UKCEH Lancaster.  All data were transferred to secure databases at UKCEH Lancaster once collected.
DOI: 10.5285/c2cb8a60-2538-45b5-8bd1-bec26ea519da
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Windermere North Basin,UK, 2024

description: 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 North 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). 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. All data are from January 2024 until the end of 2024.
description: Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore along with surface temperature and oxygen measurements. Water samples were not integrated on these occasions, marked as Flag 2.
Please note that the data presented here are raw data that have not yet been quality controlled and calibrated. However, data for TEMP, OXYG, SECC, ALKA, pH, PO4P and TOCA has been double entered by different people into excel from field notebooks or laboratory paper record sheets and validated by a database manager. The database manager checked all data visually (line graphs). Missing data are due to weather conditions, equipment limitations or staff shortage.
DOI: 10.5517/ccdc.csd.cc2pzxk5
title: CCDC 2502368: Experimental Crystal Structure Determination

description: Related Article: Merzweiler, Kurt, Halz, Jan Henrik|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/5700501d-feb4-445d-aa08-81a158e54bac
title: Macroinvertebrates of the river Thames catchments UK: taxon data

description: Data comprise species level descriptions of macroinvertebrate communities and habitat descriptions from wadeable rivers of the Thames catchment, in the United Kingdom (UK), sampled over three seasons in the years 2009 - 2010. 

description: The waterbodies studied are rivers of the Thames catchment, UK. Dataset comprises eighteen sampling sites, sampling took place in Autumn 2009, Spring 2010 and Autumn 2010. Not all sites were sampled on all occasions (see supporting documentation).

Macroinvertebrates were sampled using a 1mm mesh kick net following the RIvPACS field protocol as described in: Murray-Bligh, J. A. D., Furse, M. T., Jones, F. H., Gunn, R. J. M., Dines, R. A. & Wright, J. F. (1997) Procedure for collecting and analysing macro-invertebrate samples for RIVPACS. Environment Agency and Institute of Freshwater Ecology, Bristol, UK

Site variables (depth, width, substrate cover, macrophyte cover) were also recorded as described in the above document.

Samples were washed into plastic sample bags, labelled and preserved with a 4% formaldehyde solution in the field. In the laboratory, samples were washed through a 500 μm sieve and all macroinvertebrates were picked from the samples and identified to the lowest taxonomic level possible, usually species. Valid taxonomic names and unique taxon identification codes were provided in: Davies, C. and Edwards, F.K. (2011) Code list for recording the macroinvertebrates in freshwater in the British Isles. Centre for Ecology & Hydrology, Wallingford.

Data entry was validated by crosschecking data print outs with laboratory sheets.

Map variables were derived for those point locations using the Intelligent River Network (Version 17), which was first described in: Dawson, F.H., Hornby, D.D. and Hilton, J. (2002), A method for the automated extraction of environmental variables to help the classification of rivers in Britain. Aquatic Conserv: Mar. Freshw. Ecosyst., 12: 391-403. https://doi.org/10.1002/aqc.534

Sample identifiers:
Samples are defined by unique combination of the site code and the sample date. A key to site codes is provided by downloading supporting documentation.

Column headings in taxon dataset:
Column	Content
A	Site code
B	Sample date
C	Season (A, autumn; S, spring)
D	Taxon code as per Davies and Edwards (2011)
E	Taxon name as per Davies and Edwards (2011)
F	Life stage (L, larva/nymph; P, pupa; A, adult; U, life stage not relevant)
G	Abundance in sample
DOI: 10.5285/64d64b2c-5f80-4dd5-b778-41c048f96caf
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sediment stability by Cohesive Strength Meter (CSM) in salt marsh and mud flat habitats

description: The dataset comprises the surface stability of sediments as determined by a Cohesive Strength Meter (CSM). Between 3 and 5 replicate measurements were taken from each of the 22 designated experiment quadrats at each of the Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) sites. At each CBESS site, a salt marsh site and a mud flat site was examined and three locations were selected in Morecambe Bay, North West England and three locations in Essex, South East England. The Morecambe Bay samples were taken during the winter and summer of 2013. The Essex samples were taken during the winter, early spring and summer of 2013.

This data were 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.
description: Each site consisted of a polygon of roughly 400 x 500 m to 1000 x 1000 m in size, dependent upon site length (parallel to shore) and width (perpendicular to shore). Twenty two 1 x 1 m quadrats were randomly placed within to each site polygon using R (R Development Core Team, 2014) to specify placement at four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum). In each quadrat, the CSM was deployed and the erosion threshold of the sediment determined. 3- 5 replicates measurement stations were randomly placed within the quadrat, according to the quadrat-sampling plan.
DOI: 10.5285/8ce6df21-4e10-4246-9751-54e6415b8eee
title: Flower species and their abundances on farmland in Hampshire and West Sussex during 2014 and 2018

description: The dataset contains information about floral abundance on eight farms across Hampshire and West Sussex in 2014 and 2018. Transects of 3km were marked out on each farm and surveyed 3 times in both years. Flower species seen along transects were identified and their estimated abundances recorded. 

The work was supported by the Natural Environment Research Council (Grants NE/P009972/1 and NE/J016802/1).

description: The transects were marked through a variety of different environments on each farm. They were separated into distinguishable sections, and then walked and surveyed 2m either side of the surveyor for flowers. The flower species seen were identified and their estimated abundances recorded. Wildflower identification books were used to reach an accurate species-level identification where possible for each flower species seen. A “flower” was counted when fully open, and is defined as either a single flower, flowers on an umbel or spike, or a capitulum. The data recorded in the field was then transferred into an excel spreadsheet.
DOI: 10.5285/f22a6c34-bd82-4fde-911c-16793f2a6752
title: Maritime fuel demand projections for the year 2050 at 1377 global ports

description: This dataset contains the projected fuel demand per vessel type in the year 2050 at 1377 ports around the world. The baseline fuel demand and the projected throughput at each port are also provided. Fourteen different trade scenarios are considered and trips shorter than 1000 km are excluded as these will likely be electrified.  The projected fuel demand is given in tonnes of Heavy Fuel Oil.
description: Data are generated by coupling a previously developed Global Maritime Transport Model (OxMarTrans) with a vessel database including fuel consumption. This enables the quantification of present-day fuel demand at ports globally. This is combined with trade projections for 2050 (compared to 2015) which are used to scale fuel demand into the future. The dataset provided is the end-result of this, with fuel demand at the port-level provided for each future trade scenario. Quality assurance is provided by comparing the global fuel demand estimates with other modelling studies, showing that our estimates compare closely with other studies.
DOI: 10.5285/42c203c8-44de-40e2-a694-b1e8cbd4c8e1
title: Broadleaved woodland survey of Great Britain, 2020-2022

description: These data are a 2020-22 repeat of a survey undertaken in 1971, and again between 2000 and 2003, when 103 broadleaved woodlands were surveyed across Britain. Ecological information was recorded at the site level and in more detail from sixteen, 200 m-2 sample plots located at random within each site. Data were collected on plant species composition of the canopy and ground flora, soil pH and Soil Organic Matter, habitat management and a wide range of other plot and site-level descriptors. This edition of the survey, comprising a re-visit to 97 sites, was funded by a consortium led by the Woodland Trust, and carried out by professional ecologists managed by the UK Centre for Ecology & Hydrology. Users of the dataset should consult the supporting documentation for further information on field methods and analytical results.
description: Details about the trees, ground flora, soil, habitat types as well as general plot information were collected from 97 woodlands by trained field surveyors using electronic data capture devices during the summers of 2020-2022. The data are managed by the UK Centre for Ecology & Hydrology at Lancaster.
DOI: 10.5517/ccdc.csd.cc2pzz4t
title: CCDC 2502417: Experimental Crystal Structure Determination

description: Related Article: R. John Errington, Dominic Shiels, Paul G. Waddell|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/b02524b3-e755-41f7-9bc6-ba389b16db47
title: Physiological responses of marine phytoplankton to acute and chronic thermal stress

description: These data comprise the physiology-based measurements made on the cyanobacteria Synechocystis sp. and Synechococcus sp., the pennate diatom Phaeodactylum tricornutum, and the coccolithophore Emiliana huxleyi. A variety of experimental manipulations were carried out in order to investigate the mechanisms underlying thermally-induced physiological responses and various physiological traits were characterised.
description: The data were generated in the laboratories at the School of Life Science (Colchester Campus), University of Essex, U.K. A visual inspection of the data was carried out on all analyses to ensure (i) values were within instrument ranges, (ii) mistakes have not been made in units, dilutions, calculations or dates, and (iii) transcription errors are corrected.
DOI: 10.5285/52f756a1-a0f6-4991-b21b-4042018a451f
title: Fine root arbuscular mycorrhizal colonisation in fertilised plots in Central Amazon, 2018

description: The data consists of total arbuscular mycorrhizal fungi colonisation in fine roots in old growth forests in Central Amazon. Fine roots younger than three months were sampled using the ingrowth core technique in a large-scale nutrient fertilisation experiment. Total mycorrhizal colonisation is given as a mean of the plant community per plot, where five points inside each plot were sampled in the 0-10 cm soil layer. The spreadsheet depicts the percentage of fine root length colonised by different arbuscular mycorrhizal structures (hyphae, arbuscules and vesicles).

 Samples were collected in February 2018, eight months after the nutrient fertilisation started at the AFEX project area in Manaus, Brazil at the Biological Dynamics of Forest Fragments Project (BDFFP/ INPA).

 The study was funded by NERC, BDFFP (logistical support) and Brazilian government (student scholarship).
description: Fine roots in the 0-10 cm soil depth were subsampled and mycorrhizal colonisation were determined in root tips (<1mm diameter). Roots were cleared using a 2.5% KOH solution in an autoclave and later bleached in alkaline solution. Roots were acidified in 2% HCl solution and then stained with Trypan Blue 0.05%. Roots were mounted on slides and mycorrhizal colonisation was assessed as the percentage of the total root points along the root length that had mycorrhizal fungi.
DOI: 10.5517/ccdc.csd.cc2pzz5v
title: CCDC 2502418: Experimental Crystal Structure Determination

description: Related Article: R. John Errington, Dominic Shiels, Paul G. Waddell|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5285/251081d0-0388-44fa-b5f9-a4c784f64218
title: Vegetation data from the South Fork McKenzie River in Oregon, USA after a wildfire event, 2021

description: Vegetation survey data comprise per-quadrat species level data and abundances, abundance cover classes (following Braun-Blanquet method), family, growth duration, habitat and native species. Data also contain ground cover class and Denisom reading for tree canopy cover.

Data were collected from the South Fork McKenzie river, Oregon, USA in June 2021 following the Holiday Farm wildfire in Autumn 2020. Vegetation surveys were conducted in restored and unrestored reaches of the South Fork McKenzie River with a view to quantifying differences in vegetation response to wildfire in the restored vs. unrestored river reaches.

The study was conducted by the University of Nottingham, with data collected by partners from The US Forest Service, Portland State University, Washington State University and Colorado State University. Funding for the work was received from the Natural Environment Research Council.
description: Vegetation data collected across 20 quadrats in restored and unrestored reaches of the South Fork McKenzie River. Abundance estimated using Blaun-Blanquet method, quadrat species-level data recorded, as well as per-quadrat ground cover and Denisom canopy cover given.