Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
307
datasets available to search
ShareScore release 0.7.1
Dataset results
307 results for “Peatland”
Updated Smoke Exposure Estimate for Indonesian Peatland Fires using a Network of Low-cost PM2.5 sensors and a regional air quality model - Purple Air data
<p>Daily mean PM2.5 concentrations collected by Purple Air sensors between 2023-08-16 and 2023-12-01. Concentrations have been RH adjusted using the Nilson et al (2022) adjustment. </p>
Compilation of mean monthly water table depth data (2015-2023) and linkages to further published sources of water table data, from European peatlands
<p>This dataset (WH_D1_4_meanmonthly.csv) contains mean monthly water table depth data for 211 point locations, for which the data were originally captured at a higher temporal resolution and were additionally clipped to the temporal window (2015 onwards) of the available Earth Observations in the Sentinel-1 and Sentinel-2 archive. Links to higher resolution/longer time series of these source data, where these are already in the public domain, have been identified in the data submission in case future data users require more detailed water table datasets.Information on site co-ordinates, data period, condition class, and other details, are provided in the associated metadata file (WH_D1_4_metadata.csv). Further links to 165 additional water table dynamics data have been provided for future users, but were not summarised as monthly means in this data submission in case the source data are updated in future. Please refer to the README file for methodological details and important disclaimers.</p>
Spatiotemporal distribution of global peatland area during the Holocene
<p>The global peatland area dataset comprises netCDF files, which consist of 13 sets of maps showing the global extent of peatlands at a spatial resolution of 0.5° × 0.5°. All maps are provided at 1,000-year time intervals between 12 and 0 ka BP. The peatland area files named “Global_peatland_area_BA_*” were reconstructed using the BA method, and the files named “Global_peatland_area_IDW_*” were reconstructed using the IDW method. The global peatland records included data on location, latitude, longitude, peat type, basal ages, and end ages. The global pollen of <em>Sphagnum</em> records included latitude, longitude,<em> Sphagnum</em> content, and peat basal and end ages.</p>
ML scripts and data for Buzacott et al. "Drivers and annual totals of methane emissions from Dutch peatlands (2024)"
<div> <div>This repository includes the machine learning (ML) scripts, data, and output for the article "Drivers and annual totals of methane emissions from Dutch peatlands" submitted to Global Change Biology. The scripts utilise the ML FCH4 gapfilling framework described in Irvin et al. (2021) (https://doi.org/10.1016/j.agrformet.2021.108528) which is available at https://github.com/stanfordmlgroup/methane-gapfill-ml and needed to run the scripts.</div> </div>
Rewetting does not return drained fen peatlands to their old selves
<p>Peatlands, in particular groundwater-fed fens of the temperate zone, have been drained for agriculture, forestry and peat extraction for a long time and on a large scale. Drainage turns peatlands from a carbon and nutrient sink into a respective source, diminishes water regulation capacity at the landscape scale, causes continuous surface height loss and destroys their typical biodiversity. Over the last decades, drained peatlands have been rewetted for biodiversity restoration and, as it strongly decreases greenhouse gas emissions, also for climate protection.</p> <p>With the dataset published here, we quantified restoration success by comparing 320 rewetted fen peatland sites to 243 near-natural peatland sites of similar origin across temperate Europe with regards to biodiversity (vegetation), ecosystem functioning (hydrology, geochemistry) and land cover characteristics based on remote sensing.</p> <p>Vegetation data comes as species-specific cover values. Hydrology data covers on average 2.3 years and minimally one full year and comes as median, minimum, and maximum water table depth. Geochemistry consists of pH and electrical conductivity of the pore water (0-60 cm), bulk density and organic matter content of the top soil layer (0-30 cm), all sampled in summer for all sites included here alongside the vegetation data sampling. Land cover characteristics contain 208 spectral-temporal metrics for a full annual time series of Copernicus Sentinel-2 A/B data for 2018.</p>
Future greenhouse gas balance of northern peatlands
<p>Time series of CO<sub>2</sub> and CH<sub>4</sub> emissions (1861-2299) from northern peatlands, simulated by five land surface models. </p>
Rice productivity along waterlogging gradient in Indonesian peatlands (EPIC-IIASA model outputs)
<p>[1] The spatially explicit modelled water table depth data (WTBL, in m) were produced for a total of ten waterlogging intensity scenarios (WetScen) in Indonesian peatlands using the Environmental Policy Integrated Climate-based modelling framework EPIC-IIASA. The WetScen scenarios 1 to 10 represent a gradient from water-logged to deeply drained soils. The dataset provides monthly WTBL series simulated between 2001 and 2010 at 0.25×0.25 arc-deg spatial resolution across all Indonesia peatland soils (<a href="https://doi.org/10.5281/zenodo.6997968">https://doi.org/10.5281/zenodo.6997968</a>). This data brings harmonized groundwater regime data in large-scale agricultural modelling to allow assessing the impact of peatland rewetting on rice productivity in Indonesia. These data were prepared as a part of the RESTORE+ project, separately for two rice growing seasons (seasons 1 and 2) and rice double-cropping on mineral (miner) and shallow peat soils (peat) with a depth of less than 1 m.</p> <p>[2] The spatially explicit datasets of annual rice yield (YLDG in tDM/ha) and monthly root zone soil water content (RZSW, in mm) were simulated at 0.25×0.25° spatial resolution following the waterlogging scenarios described above. The datasets explore (a) two nutrient management, namely the good agricultural practice (GAP) and management that was back-calibrated against statistically reported regional yields (BackCalc), (b) two rice seasons (season 1 and 2) plus a double-cropping system, and (c) ten waterlogging scenarios (WetScen) in all peatland grids with soils suitable for rice production, i.e., all mineral soils (miner) and soils with the shallow peat material (peat). The simulations were carried out from 2001 to 2010, consistently with the scenario data and modelling framework described above. This database was created as a part of the RESTORE+ project. The details are described in a separate document (see <a href="https://doi.org/10.5281/zenodo.7355835">https://doi.org/10.5281/zenodo.7355835</a>).</p>
Isotopic evidence for increased carbon and nitrogen exchanges between peatland plants and their symbiotic microbes with rising atmospheric CO2 concentrations since 15000 cal. yr BP
<p>Whether nitrogen (N) availability will limit plant growth and removal of atmospheric CO<sub>2</sub> this century is controversial. Studies have suggested that N could progressively limit plant growth, as trees and soils accumulate N in slowly cycling biomass pools in response to increases in carbon sequestration. However, a question remains over the longer-term (decadal to century) feedbacks between climate, CO<sub>2</sub> and plant N uptake. The symbiosis between plants and microbes can help plants with mycorrhizal N uptake or biological N2 fixation – the pathway through which N can be rapidly brought into ecosystems and thereby partially or completely alleviate N limitation on plant productivity. Here we present results for plant N isotope composition (δ<sup>15</sup>N) in a peat core that dates to 15000 cal. yr BP to ascertain ecosystem-level N cycling responses to rising atmospheric CO<sub>2</sub> concentrations in the past. We found that an increase in atmospheric CO<sub>2</sub> concentration happened with a decrease in δ<sup>15</sup>N values of both <em>Sphagnum</em> moss and Ericaceae over this time period when constrained for climatic factors. A modern experiment demonstrated that δ<sup>15</sup>N of <em>Sphagnum</em> mosses decreased with increasing N2 fixation rates. These findings suggested that N2 fixation in <em>Sphagnum</em> moss by symbiosis with cyanobacteria and N uptake in Ericaceae by symbiosis with mycorrhizal fungi both likely increased with rising atmospheric CO<sub>2</sub> concentrations, highlighting a longer-term feedback mechanism whereby N constraints on terrestrial carbon storage can be overcome. </p>
Data from: Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland
<p>This dataset is published in conjunction with the publication of : Kelly, R., Montgomery, W. I., & Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. <em>Ecology and Evolution, </em>and contains the environmental, botanical and entomological datasets underpinning the analysis contained there in. Additionally, it contains datasets on seedbanks and bird species which were collected as part of the Northern Ireland Environment Agency funded project 'Quantifying the impact of wildfires in the Northern Ireland' from 2012 to 2015 (see: <a href="https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016">https://www.daera-ni.gov.uk/publications/quantifying-impact-wildfires-northern-ireland-final-report-2016</a>)</p> <p>This data underpins the following publications which discuss the impacts of wildfires at these key upland sites in Northern Ireland: </p> <ul> <li>Kelly, R., Boston, E., Montgomery, W. I., & Reid, N. (2016). The role of the seed bank in recovery of temperate heath and blanket bog following wildfires. Applied Vegetation Science, 19(4), 620-633. <a href="https://doi.org/10.1111/avsc.12242">https://doi.org/10.1111/avsc.12242</a> </li> <li>Kelly, R., Montgomery, W. I., & Reid, N. (2018). Differences in soil chemistry remain following wildfires on temperate heath and blanket bog sites of conservation concern. Geoderma, 315, 20-26. - <a href="https://doi.org/10.1016/j.geoderma.2017.11.016" rel="noreferrer noopener" title="Persistent link using digital object identifier">https://doi.org/10.1016/j.geoderma.2017.11.016</a> </li> <li>Reid, N., Kelly, R. & Montgomery, W.I. (2022) Impact of wildfires on ecosystems and bird communities on designated areas of blanket bog and heath. Bird Study (In press)</li> <li>Kelly, R., Montgomery, W. I., & Reid, N. (2022) Initial ecological change in plant and arthropod community composition after wildfires in designated areas of upland peatland. Ecology and Evolution. (In press)</li> </ul> <p>Data were collected and collated by Ruth Kelly (ruth.kelly@afbini.gov.uk/ruthkelly123@gmail.com) in collaboration with Dr. Neil Reid, Dr. Emma Boston, Prof. W.I. Montgomery (Queen's University Belfast) and Dr. Damian Mc Ferran (National Museums of Northern Ireland). We are also very grateful to Roy Anderson, Orla McLaughlin, Anna Hart, Rachel Hamill, Adam Mantell, Tony Smith, Joanne Denyer and Richard Weyl for their expertise and assistance in species identification, and to Gillian Riddell, Caroline Finlay, Florentine Spaans, Jeremy Adelard, Marion Chapalain, Alice McPherson, Claire McVeigh, Amber Woods and Rachel Hamill for assistance and expertise in the laboratory and field. </p>
Methane Fluxes and 13C-CH4 from a Northern Temperate Peatland
<p>This dataset contains methane (CH<sub>4</sub>) emissions and their <sup>13</sup>C isotope composition (δ<sup>13</sup>C-CH<sub>4</sub>) measured using the static flux chamber method in a poor fen in New Hampshire, USA. Measurements were collected weekly (CH<sub>4</sub> emissions) to bi-weekly (δ<sup>13</sup>C-CH<sub>4</sub>) from flux collars with varying microtopgraphy (hummock, lawn, and wet) from May to August 2020 and 2021. Datasets includes metadata of water table depth, peat and air temperature, and precipitation collected alongside flux meausurements. Each data file contains a "README" tab with a guide for variable units and descriptions. </p>
Methane emissions of ditches of boreal forestry-drained peatlands
<p>Six datasets regarding our study on methane emissions of ditches of boreal forestry-drained peatlands of Finland:</p> <p>Dataset 1: Accepted methane fluxes analysed via manual chamber technique from ditches of 21 boreal forestry-drained peatland study areas located in Finland.</p> <p>Dataset 2: Temperature within ditches of 3 boreal forestry-drained peatlands (Ränskälänkorpi, Lettosuo and Paroninkorpi) studied in 2021. </p> <p>Dataset 3: Relative water table level (relative to the level in the beginning of June 2021) in ditches of 3 boreal forestry-drained peatlands (Ränskälänkorpi, Lettosuo and Paroninkorpi) studied in 2021. </p> <p>Dataset 4: Yearly methane emission factors calculated for different types of ditches in the study areas.</p> <p>Dataset 5: Tested random forest models' variables and their mean decrease in accuracy, and models' error rates in classifying boreal peatland forest ditches into moss-covered and moss-free categories.</p> <p>Dataset 6: Tested random forest models (as zipped .RData files) to classify boreal peatland forest ditches into moss-covered and moss-free categories.</p> <p> </p>
Resources for "Disaggregating the carbon exchange of degrading permafrost peatlands using Bayesian deep learning"
<p>This dataset contains all predictors, fluxes, and footprint weights used and described in our manuscript.</p>
Rove beetle (Staphylinidae) assemblages following the cumulative effect of wildfire and linear footprint in Boreal treed peatlands of northeastern Alberta (Canada)
<p>Cumulative effects of anthropogenic and natural disturbances have become increasingly relevant in the context of biodiversity conservation. Oil and gas (OG) exploration and extraction activities have created thousands of kilometers of linear footprints in boreal ecosystems of Alberta, Canada. Among these disturbances, seismic lines (narrow corridors cut through the forest) are one of the most common footprints and have become a significant landscape feature influencing the maintenance of forest interior habitats and biodiversity. <a name="_Hlk118288505"></a>Wildfire is a common stand-replacing natural disturbance in the boreal forest, and as such, it is hypothesized that its effects can mitigate the linear footprint associated with OG exploration, but only a few studies have examined its effectiveness. We studied the short-term (1 year post-fire) response of rove beetle assemblages to the combined effects of wildfire and linear footprint in forest, edge and seismic line habitats at burned and unburned peatlands along the southwest perimeter of the 2016 Horse River wildfire (Fort McMurray). While rove beetle species richness was higher in seismic lines in both burned and unburned habitats compared to the adjacent peatland, diversity was greater only in seismic lines of burned areas. Abundance was lower in the burned adjacent peatland but similarly higher in the remaining habitats. Assemblage composition on seismic lines was significantly different from that in the adjacent forest and edge habitats within both burned and unburned sites. Moreover, species composition in burned seismic lines was different to either unburned lines or burned forest and edge. <a name="_Hlk89787659"></a><em>Euaesthethus laeviusculus</em> and <em>Gabrius picipennis</em> were indicator species of burned line habitats, are sensitive to post-fire landscape and can occupy wet habitats with moss cover more efficiently than when these habitats are surrounded by unburned forest. Although these results are based on short-term responses, they suggest that wildfire did not reduce the linear footprint, and instead, the cumulative effect of these two disturbances had a more complex influence on rove beetle recovery at the landscape level than for other invertebrates. Therefore, continued monitoring of these sites can become useful to evaluate changes over time and to better understand longer-term biodiversity responses to the cumulative effects of wildfire and linear disturbances in boreal treed peatlands, given the long-lasting effect of such disturbances.</p>
Permafrost thaw causes large carbon loss in boreal peatlands while changes to peat quality are limited
<p>Rapid, ongoing permafrost thaw of peatlands in the discontinuous permafrost zone is exposing a globally significant store of soil carbon (C) to microbial processes. Mineralisation and release of this peat C to the atmosphere as greenhouse gases is a potentially important feedback to climate change. Here we investigated the effects of permafrost thaw on peat C at a peatland complex in western Canada. We collected 15 complete peat cores (between 2.7 abd 4.5 m deep) along four chronosequences, from elevated permafrost plateaus to saturated thermokarst bogs that thawed up to 600 years ago. The peat cores were analysed for peat C storage and peat quality, as indicated by decomposition proxies (FTIR and C/N ratios) and potential decomposability using a 200-day aerobic incubation. Our results suggest net C loss following thaw, with average total peat C stocks decreasing by ~19.3 +/- 7.2 kg C m<sup>-2</sup> over <600 years (~13% loss). Average post-thaw accumulation of new peat at the surface over the same period was ~13.1 +/- 2.5 kg C m<sup>-2</sup>. We estimate ~19% (+/- 5.8%) of deep peat (>40 cm below surface) C is lost following thaw (average 26 +/- 7.9 kg C m<sup>-2</sup> over <600 years). Our FTIR analysis shows peat below the thaw transition in thermokarst bogs is slightly more decomposed than peat of a similar type and age in permafrost plateaus, but we found no significant changes to the quality or lability of deeper peat across the chronosequences. Our incubation results also showed no increase in C mineralisation of deep peat across the chronosequences. While these limited changes in peat quality in deeper peat following permafrost thaw highlight uncertainty in the exact mechanisms and processes for C loss, our analysis of peat C stocks shows large C losses following permafrost thaw in peatlands in western Canada.</p>
Data from: Comparison of carbon and nitrogen accumulation rate between bog and fen phases in a pristine peatland with the fen-bog transition
<p>Long-term carbon and nitrogen dynamics in boreal peatlands are affected by both vegetation production and decomposition processes. Here, we examined the carbon accumulation rate (CAR), nitrogen accumulation rate (NAR) and δ<sup>13</sup>C, δ<sup>15</sup>N of plant residuals in a peat core dated back to ~8500 cal yr BP in a temperate peatland in Northeast China. Impacted by the tephra during 1160 and 789 cal yr BP and climate change, the peatland changed from a fen dominated by vascular plants to a bog dominated by <em>Sphagnum mosses</em>. We used the Clymo model to quantify peat addition rate and decay constant for acrotelm and catotelm layers during both bog and fen phases. Our studied peatland was dominated by <em>Sphagnum fuscum</em> during the bog phase (789 ~ -59 cal yr BP) and lower accumulation rates for the upper sections in the acrotelm layer during this phase, suggesting the dominant role of volcanic eruption in the CAR of the peat core. Both mean CAR and NAR were higher during the bog phase than during the fen phase in our study, consistent with the results of the only one similar study in the literature. Because the input rate of organic matter was considered to be lower during the bog phase, the decomposition process must have been much lower during the bog phase than during the fen phase and potentially controlled CAR and NAR. During the fen phase, CAR was also lower under higher temperature and summer insolation, conditions beneficial for decomposition. δ<sup>15</sup>N of <em>Sphagnum </em>hinted that nitrogen fixation had positive effect on nitrogen accumulation, particular in recent decades. Our study suggested that decomposition is more important for carbon and nitrogen sequestration than production in peatlands in most conditions and if future climate changes or human disturbance increase decomposition rate, carbon sequestration in peatlands will be jeopardized.</p>
Data for "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"
<p>Data from literature review for the study "Global observation gaps of peatland greenhouse gas balances: needs and obstacles"</p>
research data for the article Elenius et al, 'Where can rewetting of forested peatland reduce extreme flows?'
<p>This dataset includes data of changes in hydrology when rewetting of drained forested peatland is performed. Details are explained in the companion article, Elenius et al, 'Where can rewetting of forested peatland reduce extreme flows?'</p> <p>Data worksheets and columns are described on the readme worksheet in the file.</p>
Rewetting does not return drained fen peatlands to their old selves
Open the record for dataset details and reuse information.
Rewetting prolongs root growing season in minerotrophic peatlands and mitigates negative drought effects
Open the record for dataset details and reuse information.
Habitat area and environmental filters determine avian richness along an elevation gradient in mountain peatlands
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.