cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.b99j8v
title: Occurrence Download

description: A dataset containing 2845 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "OccurrenceStatus is Present",
 "TaxonKey is Rodentia"
 ]
}

 The dataset includes 2845 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031251-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/8a8240a2-e8ed-495d-ae93-c35200956764
title: Telomere length data from a wild population of Seychelles Warblers on Cousin Island, 1995-2014

description: These data consist of relative telomere length (RTL) measures from quantitative polymerase chain reaction, of Seychelles warbler birds on Cousin Island, Seychelles. The data were collected by the Seychelles Warbler Project in 1995-2014. Data include bird identity, sex, age, birth period, qPCR plate identity, RTL, technician, territory, field period, mum ID, dad ID, mum age at conception, dad age at conception, dominant female ID in the natal territory, dominant male ID in the natal territory
description: Blood samples (~25 μl) were collected and stored at room temperature in absolute ethanol. DNA was extracted using a DNeasy blood and tissue kit (Qiagen) according to the manufacturer’s instructions with modiﬁcation of overnight lysis at 37 °C and a ﬁnal DNA elution volume of 80 μl. DNA concentration and purity were quantified using a NanoDrop 8000 Spectrophotometer (ThermoScientific). The following thresholds were applied before samples were included for further analysis: (1) DNA concentration must be at least 15 ng/μl (based on a mean of three measurements), (2) the 260/280 absorbance ratio has to be between 1.8 and 2.0 for acceptable DNA purity, and (3) the 260/230 absorbance ratio must be higher than 1.8. DNA integrity was further validated by visualisation with ethidium bromide after electrophoresis on a 1.2% agarose gel, and all samples with evidence of DNA degradation were re-extracted or excluded. All DNA extractions that passed the above criteria were diluted to 3.3 ng/μl before telomere measurement. We used quantitative polymerase chain reaction to calculate a relative measure of telomere length that describes the amount of telomeric DNA in a sample relative to that of GAPDH, a constantly expressed reference gene.
DOI: 10.5285/33caba6a-6547-4740-9cd5-aa787b7c418e
title: Vascular plant survey and questionnaire data evaluating the e-Surveyor mobile application across calcareous, neutral and improved grassland habitats, UK, 2024

description: This dataset contains vascular plant data recorded from 25 m2 plots in calcareous, neutral or improved grassland habitats and associated questionnaire data on the functionality of the e-Surveyor mobile application used to capture the data. All data were recorded at workshops in Central and Southern England, during June-August 2024. The 51 surveys were recorded by 37 different volunteer participants using the habitat survey function within e-Surveyor and by 2-3 professional expert botanists that worked independently to collect a full plant inventory list. The dataset also contains questionnaire data about participant's experience using the application, which was collected at each workshop directly after the plant survey.
description: The data was collected at seven field workshops, with different citizen science groups ranging from 4-10 participants in size. Participants were those with an interest in biological recording, wildlife applications or were members of a practical conservation group.  At each workshop, participants were introduced to the e-Surveyor application (https://esurveyor.ceh.ac.uk/) before being asked to undertake a "Record a habitat" survey. Each participant recorded their own 25 m2 plot independently, though a small number of plots were recorded by two participants. Each plot recorded by a participant was also surveyed by 2-3 professional expert botanists that worked independently to ensure an accurate full inventory list was collated. 

Experts recorded a simple abundance using the DAFOR scale (Dominant, Abundant, Frequent, Occasional or Rare) for each vascular plant present, and recorded whether it was flowering. To understand more about the participants' experience of using the application and potential future uses, we created a paper-based questionnaire which was given to participants after completing their 25 m2 survey at the workshop. Paper data sheets were digitised into Excel and were checked for any anomalies.
DOI: 10.5285/e891ae90-1917-41b6-a63a-8fe4170253ff
title: Meteorological data from a moist semi-deciduous tropical forest, Bobiri Forest Reserve, Ghana, 2022-2023

description: The dataset provides meteorological data including air temperature, humidity, solar radiation, and wind speed collected above the canopy at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. Data is at high temporal resolution (10 second). This site is a moist semi-deciduous tropical forest type. The data were collected from a 60m tower adjacent to a plot which was lightly selectively logged over 60 years ago. The forest trees are of a variety of species including both deciduous and evergreen species. Data were collected in order to provide auxiliary data for other studies completed at the site. 
description: Data were recorded as .DAT files using a LabView program, initially stored on a PC at the site, then copied to a University of Plymouth server. Files were converted to .csv using Excel. Monthly files were collated into a single file using R.
DOI: 10.5285/e0226c12-f07a-48a6-8bef-9ae9e0a7d249
title: Daily germination rates of temperate tree species’ seed under elevated ozone fumigation 

description: This dataset contains daily germination rates of temperate tree species’ seed under elevated ozone fumigation in a closed chamber system. Daily counts of germinated sees were made. The seeds were exposed to an ambient and +60 parts per billion ozone treatment for approximately one month in the winter of 2024. Species tested were Betula pendula, Pinus sylvestris and Picea sitchensis. These data were collected to examine the possible effect of ozone on timing and percentage success of seed germination. 
description: The closed chamber ozone fumigation system is located at the Climate Change Research Centre, Henfaes Farm, Abergwyngregyn. A minimum of 40 seeds were fumigated per chamber per species, maximum 80 seeds. Visual examination of seeds for radical emergence was used as the threshold for seed dormancy breaking/germination initiation, which was checked daily. New germinants for each day were recorded. Obvious errors in the data (decreases in germination total) were corrected prior to upload to EIDC.  The data were collected by PhD candidate Jack Atkin-Willoughby from Bangor University and UK Centre for Ecology and Hydrology.
DOI: 10.5285/b22b914c-e2fc-4298-879a-1bd24f242b3c
title: Geochemical characterisation data of sediments and water, and antibiotic profile of water collected along Vashi creek, Mumbai, 2021-2023

description: This dataset includes a range of determinants present in sediments and water at 8 locations along the Thane River, Vashi Creek, Mumbai between October 2021 and November 2023.  
Variables measured include geochemical parameters pH, Ec, OM, MC, LOI, TOC, potentially toxic elements; Al, As, Al, Ca, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Sn, Se, V, Zn, and anions; fluoride, nitrite, bromide, nitrate, phosphate, and sulphate. 
Data also includes antibiotic quantification within the Creek over the same time point. Data includes quantity of Azithromycin, Ciprofloxacin, Enrofloxacin, Erythromycin, Levofloxacin, Linezolid, Oxacillin, Penicillin, and Sulfamethazine.
description: Samples were collected in Vashi creek along from a chemical effluent treatment plant (CETP). Surface sediments were grabbed using a Van Veen grab sampler. Water was taken 1 meter above the sediment. 

Specific sampling dates: 7/10/21, 8/4/22, 20/01/23, 18/04/2023, 13/11/23

Samples were then screened for antibiotics and geochemical parameters at IIT Bombay, or stabilised and transported to Scotland for metal analysis. 

Antibiotics were quantified using an LC-MS orbitrap. Metals quantified using ICP-AES.
DOI: 10.5285/ba22d53b-4eee-48a1-b6f3-653d252c0358
title: Groundwater levels, salinity, pH, and rainfall on the Indian Ocean island of Karainagar, Sri Lanka, 2019–2024

description: This dataset includes measurements of groundwater levels, salinity, and pH collected from 36 dug wells, along with rainfall data, on the Indian Ocean island of Karainagar, Sri Lanka, spanning the period from 2019 to 2024. Karainagar, the study area, is one of seven islands located off the coast of Jaffna in northern Sri Lanka. This rectangular island is bounded on three sides by the Palk Strait, while the fourth side faces the Jaffna Lagoon and is connected to the mainland by a causeway. Karainagar covers an area of approximately 22 km², including inland water bodies. Thirty-six dug wells—used for agricultural, domestic, Kovil (Temple), and public purposes—were inventoried. These wells were monitored to track groundwater levels and key physicochemical parameters, specifically salinity (measured as electrical conductivity, EC) and pH, on Karainagar Island.
description: Groundwater levels and well dimensions (kerb height, diameter/width, and bottom elevation) were measured using a measuring tape. The locations of the dug wells and ground elevations relative to Mean Sea Level (MSL) were determined using a Global Positioning System (GPS) and land surveys. Salinity (measured as electrical conductivity, EC) and pH were recorded using a Hach HQ40D multi-parameter meter. Daily rainfall time series data were obtained from the records of the Agrarian Services Centre (ASC) in Karainagar.
DOI: 10.5285/9c4aee69-3693-4f18-97c8-ff740045f3de
title: Ammonia concentrations from high-elevation Himalayan forests and a Sri Lankan tropical forest, 2022-2024

description: The dataset contains field measurements of atmospheric ammonia under forest canopies in the Himalayas in India, Pakistan, Nepal and Bhutan and in a tropical forest in Sri Lanka between 2022 and 2024. Monthly mean atmospheric ammonia concentrations are provided from 33 sites across the five countries. This dataset provides the first ever empirical measurements of ammonia from South Asian forests and can be used to estimate ecological impact, inform policy decisions, validate atmospheric chemistry transport models and satellite data and design future air quality and ecological monitoring in the region. The ammonia concentration data was collected monthly by deploying passive citric acid-coated samplers at the study locations.
description: Starting May 2022, triplicate sets of UKCEH Adapted Low-cost Passive High Absorption (ALPHA®) samplers were deployed under the forest canopy at sites buffered by at least 500 m of continuous forest on all sides. The exposed samplers were replaced with fresh ones at the end of each month. The exposed samplers from India, Nepal, Bhutan and Sri Lanka were analysed at the National Centre for Sustainable Coastal Management, Chennai and samplers from Pakistan were analysed at UKCEH, Edinburgh using the salicylate method. Blank samplers for each period were also analysed. The analysis provides the concentration of ammonium ions absorbed by each sampler. This is further converted to atmospheric ammonia concentration using an uptake rate which determined annually in the UK by co-locating the ALPHA samplers with UKCEH DEnuder for Long-Term Atmospheric sampling (DELTA®) samplers at multiple UK sites. The monthly concentration at each site is calculated as the average of the concentration measured by each sampler in the triplicate set. Obvious outliers are removed before calculating the average. Further quality assurance is performed based on comments from site operators regarding physical damage to the sampler, wet sampler, etc.
DOI: 10.15468/dl.p2exe5
title: Occurrence Download

description: A dataset containing 1066 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave potatorum"
 ]
}

 The dataset includes 1066 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031252-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cuw9vx
title: Occurrence Download

description: A dataset containing 2752425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 2752425 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031214-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/822646a9-6c20-4755-97af-eb22dd43fee3
title: Soil erosion potential from the Soil Water Assessment Tool (SWAT) for the River Derwent, Yorkshire, UK

description: Erosion risk mapping showing soil erosion potential (tonnes/yr) using the Soil Water Assessment Tool (SWAT) for the Yorkshire River Derwent, UK. The modelled data includes 29 years of weather data (1990-2019). Outputs were validated using SUFI2. This dataset builds on previous modelling using SCIMAP.
description: The SWAT model needs the following datasets: digital elevation model, soil information and weather data. These data are detailed in the supplementary data. The SWAT model contains 29 years of weather data and was calibrated/validated against flow gauges in the catchment using the SWAT-CUP SUFI2 method.
DOI: 10.5285/f4d2b769-8df8-4fd0-bf75-673926a6977b
title: Visible light images of a moist semi-deciduous tropical forest canopy, Bobiri Forest Reserve, Ghana, 2022-2023

description: The dataset provides image data from a visible light camera positioned on a tower at Bobiri Forest Reserve, Ghana between November 2022 and November 2023. The images are predominately made up 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 to complement additional data on canopy temperature at the same site but can also be used to look at vegetation phenology. 
description: Data were collected using a LabView program to control the camera. Data were initially stored on a local PC, and then transferred to a University of Plymouth network server. Data provided are the raw output from the camera.
DOI: 10.5285/1e20a1c8-6aeb-4365-866d-71b24c497586
title: Trait values measured on a subset of the Bengal and Assam Aus Panel of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons

description: The dataset is in csv format recording trait values measured on a subset of the Bengal and Assam Aus Panel (BAAP) of rice grown in the field at two levels of nitrogen application in four South Asian sites over at least two seasons. Traits are leaf nitrogen content (measured with a Soil Plant Analysis Development (SPAD) meter) at 45 and 60 days, days to flowering and at harvest plant height, number of tillers, straw biomass and grain yield.  The purpose was to assess members of the BAAP for their response to nitrogen treatment in the field for identification of rice cultivars for high nitrogen use efficiency (NUE) plus quantitative trait loci (QTL) and candidate genes for NUE
description: Each of four project partners obtained seeds of approximately 300 rice accessions of the BAAP from the International Rice Research Institute and grew them to multiply seed supply. They each used the seed obtained to conducted screens the accessions in two levels of nitrogen application over two years, collected data, entered data into an excel spread sheet, checked it for errors and submitted to a project datasharing site. All the datasets were combined into one.
DOI: 10.5285/83dd24b5-5c3a-4334-91c3-b0a1afd1395f
title: Chemical parameters of soils in subtropical forest plots dominated by native trees and invaded by Ligustrum lucidum, Horco Molle, Tucuman, Argentina, 2023

description: The data resource consists of soil chemical measurements for two aims: 1) to characterise soils of plots where we conducted management experiences to restore secondary forests affected by invasions, and 2) to assess the impacts of tree invasions on the chemical parameters of soils., by comparing native and invaded forest plots.
All plots were established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. 
For the first aim, we took samples from the six plots established in July 2020. Each plot is 240 metres by 140 metres, 3.36 hectares for each plot (location specified in the related dataset); for the second aim, we included plots that belong to the Red Subtropical de Parcelas Permanentes (Ceballos et al., 2022 ). Those plots are 1 ha each (100 m by 100 m) and were established in 1991, and trees are censused every five years.  
At each plot, we took samples at five random points (seven for the objective 1). At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm) for posterior physical (bulk density) and chemical determination (organic carbon, total nitrogen, extractable phosphorus, cation exchange capacity, exchangeable cations calcium, magnesium, sodium and potassium, pH)  in the laboratory.
The work was carried out as part of NERC-GCB grant 2022GCBCCONTAIN- Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage.
description: We conducted field soil sampling during February-March 2023. Within each plot, we sampled at 5 points, separated by 10 meters at least. At each point, we collected litter and soil at three different depths (0-10, 10-30, 30-50 cm), using tagged plastic bags for posterior chemical determinations in the laboratory. At the same depths, simple simples of soils were taken to determinate bulk density using a soil core cylinder method, except in the cases with a high proportion of coarse material (stony soils). In these situations, the determination of soil bulk density was based on excavation method. Carbon and nitrogen content in litter and soil were determined by dry combustion (LECO CN 628). Soil extractable P was determined using the Bray and Kurtz I method. Cation exchange capacity and Ca, Mg, Na and K were extracted using the ammonium acetate pH 7 method. Soil pH was measured in distilled water .
Data were recorded onto laboratory sheets, transferred into spreadsheets and exported as comma separated value (CSV) files for deposit into the EIDC.
DOI: 10.5285/1a4588b8-7145-49ce-8bd5-0895d385932d
title: Antibiotic pollution in surface water and wastewater from two catchments in India, May 2022 - June 2023

description: This dataset reports concentrations of six antibiotics—oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, and norfloxacin—measured in surface water and wastewater from two catchments in India: Dera Bassi (Punjab) and Bhiwadi (Rajasthan). Samples were collected at four time points between May 2022 and June 2023 from the River Ghaggar and wastewater effluent sites. 
description: This dataset contains concentrations of six antibiotics (oxytetracycline, ciprofloxacin, enrofloxacin, sulfamethazine, ofloxacin, norfloxacin) measured at seven locations across two catchments in India: the Dera Bassi catchment (Punjab) and the Bhiwadi catchment (Rajasthan). Water samples—comprising river water from the River Ghaggar (Dera Bassi) and wastewater effluent from the Bhiwadi region—were collected at four time points between May 2022 and June 2023 (May 2022, October 2022, January 2023, June 2023). All samples were extracted using solid-phase extraction methods at the Indian Institute of Technology (IIT) Delhi. Extracts were then transported to the University of Leeds for chemical analysis using liquid chromatography tandem mass spectrometry (LC-MS/MS). Analytical procedures followed adapted methods from Singh et al. (2019) to ensure comparability and reliability. Quality control measures—including method blanks, matrix spikes, and replicate analyses—were applied throughout to ensure data integrity.
DOI: 10.5285/7565893d-95ec-4f89-94c5-952457820fa7
title: Cation and suspended sediment concentrations from the Mackenzie River and Estuary, Canada, September 2022

description: Dissolved element concentrations, dissolved stable carbon isotope ratios (δ13C), salinity measurements, and suspended particulate matter (SPM) concentrations from the Mackenzie River and estuary. River water and SPM samples were collected between the 11th and the 18th of September 2022. Samples were taken from the surface of the water column and at depth. Individual sample locations (latitude and longitude) are provided in the data file. In total, 18 water and SPM samples were collected from 11 different localities. Samples were collected to span a large salinity range (0.15-29 P.S.U.). Dissolved element concentrations provided: aluminium, barium, calcium, iron, potassium, magnesium, manganese, sodium, sulphate, silicon, and strontium.
description: Salinity measurements were conducted using a ProDSS salinity probe (YSI) in-situ. Element concentrations were determined via inductively-coupled plasma optical emission spectroscopy (ICP-OES) on an Agilent 5100 at the Department of Earth Sciences (University of Cambridge). Element concentration uncertainties were determined via repeated measurements of the SPS-SW2, SLRS-6 and IAPSO standards. Suspended particulate matter (SPM) concentrations were made using the volume of water collected and the mass of dried solids. Dissolved inorganic carbon (DIC) isotope measurements were made using a Thermo Gas Bench attached to a Delta V Mass Spectrometer.