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21 results for “reclamation”

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zenodo44/100

Treatment Trains for Water Reclamation (Dataset)

<p>This dataset lists typical treatment trains (combination of unit processes) from global water reuse and reclamation practices - PDF</p>

opencc-by-4.0Dec 2018View details →
zenodo44/100

Geospatial analysis of mining areas reclamation potential through Technosols in Brazil

<p>This repository contains two&nbsp;datasets:</p> <p>1. An update of metadata analysis with data published before 2021 resulting from the search equation &quot;TS = (Technosol* AND (Organic carbon OR Organic matter)&quot; in the Web of Science (WOS) database. Update from Allory 2022: https://doi.org/10.24396/ORDAR-60.</p> <p>2. A database containing geospatial datasets (inputs and outputs), R scripts, and other FOSS software files used for the geospatial analysis of land reclamation potential through Technosols in Brazil.</p>

opencc-by-4.0Apr 2023View details →
zenodo36/100

Dataset Sediment Analysis between Batu Ferringhi Coastline and Persiaran Bayan Indah Reclamation Site, Penang, Malaysia

<p>This dataset provided data analysis in research aimed to differentiate the characteristics between natural and anthropogenic coastal landforms in Penang. Two methods were used here are GPR-Ground Penetrating Radar and sediment sampling analysis. However, the dataset provided in this paper is only for sediment analysis. All GPR radar facies are presented in the research paper.<br> <br> Two sites were selected for this study - the Batu Ferringhi area, representing the natural coastal landform (labelled as BF) and the Persiaran Bayan Indah (parking lot of the Queensbay Mall), later labelled as QB representing the anthropogenic coastal landform. Five sediment samples were collected from each site. Sample BF1, BF2, BF3, BF4 and BF5; and sample QB1, QB2; QB3; QB4; and QB5. These data then calculated for mode, mean, skewness, sorting and kurtosis. All graphic are available in the research paper.</p>

opencc-by-4.0Dec 2020View details →
dryad36/100

Harnessing waterfleas for water reclamation: A nature-based tertiary wastewater treatment technology

<p>Urbanisation, population growth, and climate change have put unprecedented pressure on water resources, leading to a global water crisis and the need for water reuse. However, water reuse is unsafe unless persistent chemical pollutants are removed from reclaimed water.. State-of-the-art technologies for the reduction of persistent chemical pollutants in wastewater typically involves high operational and energy costs and potentially generates toxic by-products (e.g., bromate from ozonation). Nature-base solutions are preferred to these technologies for their lower environmental impact. However, so far, bio-based tertiary wastewater treatments have been inefficient for industrial-scale applications. Moreover, they often demand significant financial investment and large infrastructure, undermining sustainability objectives. Here, we present a scalable, low-cost, low-carbon, and retrofittable nature-inspired solution that could be retrofitted into current wastewater treatment systems to remove persistent chemical pollutants. The technology uses the water flea <em>Daphnia </em>to non-selectively uptake and retain persistent chemical pollutants (pharmaceutical, pesticides and industrial chemicals). We showed <em>Daphnia's </em>removal efficiency at laboratory scale ranging between 50% for PFOS and 90% for diclofenac. We validate the removal efficiency of diclofenac at prototype scale showing sustained performance over four weeks in outdoor seminatural conditions. A techno-commercial analysis on the <em>Daphnia</em>-based technology suggests several technical, commercial and sustainability advantages over established and emerging treatments at comparable removal efficiency, benchmarked on available data on individual chemicals. Further testing of the technology is underway in open flow environments holding real wastewater. The technology has the potential to improve the quality of wastewater effluent  meeting requirements to produce water appropriate for reuse in irrigation, industrial application, and household use. By preventing persistent chemicals from entering waterways, this technology has the potential to maximise the shift to clean growth, enabling water reuse, reducing resource depletion and preventing environmental pollution.</p>

opencc-zeroMar 2024View details →
zenodo36/100

TP-TR Benchmarks from Gen-T: Table Reclamation in Data Lakes

<p>This benchmark suite was created and used in experiments of "<a href="https://arxiv.org/abs/2403.14128" target="_blank" rel="noopener">Gen-T: Table Reclamation in Data Lakes</a>", published in <a href="https://icde2024.github.io/" target="_blank" rel="noopener">ICDE 2024</a>. These three benchmarks were created to evaluate a new problem we propose called&nbsp;<strong>Table Reclamation</strong>.&nbsp;</p>

opencc-by-4.0Mar 2024View details →
zenodo36/100

Accompanying data for the paper "Making Sense of Wildlife Habitat Use on Active Oil Sands Mines: Quasi-experiments, Occupancy Models, Trends Assessments, and Upland Habitat Reclamation"

<p>This data set contains both the raw species detection records and the derived occupancy model data used to assess usage patterns for the nine species of wildlife. &nbsp;Data have been anonymized by using non-identifying company and lease names. These attributes are not required to reproduce the results in this paper and was done per contractual requirements between LGL Limited and its clients.</p> <p>Data is currently being reviewed by the client and will be shared publicly once final approval has been received.</p>

opencc-by-4.0Jun 2024View details →
zenodo36/100

Carbon loss due to grassland reclamation in the agro-pastoral ecotone of northern China

<p><span>The conversion of grasslands to cropland can significantly impact the terrestrial carbon cycle, yet the effects on soil organic carbon (SOC) are not well quantified due to a lack of large-scale sampling data. This study aims to quantify changes in SOC resulting from grassland reclamation in the agropastoral ecotone of northern China through paired sampling of 101 cropland plots and 101 adjacent grassland control plots. Results indicate that grassland reclamation led to an average 16.07% decrease in surface SOC content (0&ndash;10 cm). Over 80% of the study area experienced a loss in SOC, while less than 20% showed an increase. These findings underscore the significant impact of grassland reclamation on SOC depletion and highlight the importance of land management strategies to mitigate carbon loss in this region.</span></p>

opencc-by-4.0Sep 2024View details →
dryad36/100

Establishing peat-forming plant communities: A comparison of wetland reclamation methods in Alberta's oil sands region

<p>The Sandhill Wetland (SW) and Nikanotee Fen (NF) are two wetland research projects designed to test the viability of peatland reclamation in the Alberta oil sands post-mining landscape. To identify effective approaches for establishing peat-forming vegetation in reclaimed wetlands, we evaluated how plant introduction approaches and water level gradients influence species distribution, plant community development, and establishment of bryophyte and peatland species richness and cover. Plant introduction approaches included seeding with a <em>Carex aquatilis</em>-dominated seed mix, planting <em>C. aquatilis</em> and <em>J. balticus</em> seedlings, and spreading a harvested moss layer transfer. Establishment was assessed six years after introduction at SW and five years after introduction at NF. A total of 51 species were introduced to the reclaimed wetlands, and 122 species were observed after five and six years. The most abundant species in both reclaimed wetlands was <em>C. aquatilis</em>, which produced dense canopies and occupied the largest water level range of observed plants. Introducing <em>C. aquatilis</em> also helped to exclude marsh plants such as <em>Typha latifolia</em> that has little to no peat accumulation potential. <em>Juncus balticus</em> persisted where the water table was lower and encouraged formation of a diverse peatland community and facilitated bryophyte establishment. Various bryophytes colonized suitable areas, but the moss layer transfer increased cover of desirable peat-forming mosses. Communities with the highest bryophyte and peatland species richness and cover (averaging 9 and 14 species, and 50% to 160% cover respectively) occurred where summer water level was between -10 and -40 cm. Outside this water level range, a marsh community of <em>Typha latifolia</em> dominated in standing water and a wet-meadow upland community of <em>Calamagrostis canadensis</em> and woody species established where the water table was deeper. Overall, the two wetland reclamation projects demonstrated that establishing peat-forming vascular plants and bryophytes is possible, and community formation is dependent upon water level and plant introduction approaches. Future projects should aim to create microtopography with water tables within 40 cm of the surface and introduce vascular plants such as <em>J. balticus</em> that facilitate bryophyte establishment and support development of a diverse peatland plant community.</p>

opencc-zeroSep 2023View details →
dryad36/100

Establishing peat-forming plant communities: A comparison of wetland reclamation methods in Alberta's oil sands region

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publicSep 2023View details →
dryad36/100

Harnessing waterfleas for water reclamation: A nature-based tertiary wastewater treatment technology

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publicMar 2024View details →
dryad36/100

Data from: Nutrient leaching potential along a time series of forest water reclamation facilities in Northern Idaho

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publicAug 2024View details →
dryad32/100

Data from: Creating fen initiation conditions: a new approach for peatland reclamation in the oil sands region of Alberta

Reclaiming peatland ecosystems is challenging our understanding of how to rebuild functioning landscapes. Assisted succession may provide a practical approach to guide the reestablishment of peatlands in denuded landscapes. In Alberta, the majority of peatlands began as fens during the paludification process. This research focuses on creating fen initiation conditions to establish fen moss species on mineral sediment as an approach for peatland reclamation in the oil sands region. In a field mesocosm experiment, we evaluated the establishment of five common fen mosses (Drepanocladus aduncus, Ptychostomum (Bryum) pseudotriquetrum, Campylium stellatum, Tomentypnum nitens, and Aulacomnium palustre) introduced in equal proportions to clay loam. To determine the optimal hydrologic conditions for the establishment of each species, we tested four water levels (0, -10, -20, and -30 cm). We created vegetation types similar to those identified at the peat–mineral interface in peat profiles to determine the effect of herbaceous plant, low shrub, and wood-strand mulch cover treatments on moss establishment. Three seasons after introduction, total moss cover averaged 40%, and was greatest under all cover treatments and at the 0 cm water level. Total moss biomass averaged 95.5 g m−2 in moss introduction mesocosms and was greatest under low shrubs and herbaceous plants and at the 0 cm and -30 cm water levels. Fen moss species distribution was significantly influenced by water table depth. Drepanocladus aduncus and Ptychostomum pseudotriquetrum were most common at 0 cm and Aulacomnium palustre and Tomentypnum nitens at -30 cm. In this approach, we created vegetation types similar to those found on mineral sediments at the base of Alberta peat cores and successfully established distinct fen moss communities along a water table gradient and under shade cover. Introducing a suite of fen moss species that inhabit a range of hydrologic niches under low shrubs or herbaceous plants improves moss establishment. Synthesis and applications. Our research shows that it is possible to create fen initiation conditions on clay loam sediment by introducing foundation moss and vascular plant species at optimal water levels. Restoring the community structure and biomass accumulation that occurs in the initial stages of fen development appears to be a suitable target for peatland reclamation. These methods introduce a practical strategy to reclaim peatlands in the heavily impacted oil sands region of Alberta.

opencc-zeroDec 2014View details →
zenodo32/100

Pilot scale on-site demonstration and seasonality assessment of nitrogen recovery and water reclamation from pig's slurry liquid fraction

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opencc-by-4.0Sep 2024View details →
zenodo32/100

Data for submitted paper "Assessment of Land Reclamation Impacts on Coastal Hydrodynamics and Hydro-environment: A Case Study of Kau Yi Chau Artificial Islands in Hong Kong"

<p>Data for submitted paper "Assessment of Land Reclamation Impacts on Coastal Hydrodynamics and Hydro-environment: A Case Study of Kau Yi Chau Artificial Islands in Hong Kong"</p>

opencc-by-4.0Oct 2024View details →
zenodo32/100

Data and code for the Reclamation S&T1845 Yuma project

<p>Data and code for the Reclamation S&amp;T1845 Yuma project</p>

opencc-by-4.0Sep 2021View details →
dryad32/100

Data from: Creating fen initiation conditions: a new approach for peatland reclamation in the oil sands region of Alberta

Open the record for dataset details and reuse information.

publicOct 2016View details →
dryad32/100

Long-term monitoring strategies for ecological reclamation programmes using spatially balanced rotating panel designs

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publicOct 2025View details →
zenodo28/100

Supplementary material 1 from: Kimeklis AK, Gladkov GV, Tembotov RH, Kichko AA, Pinaev AG, Hosid SL, Andronov EE, Abakumov EV (2022) Microbiome composition of disturbed soils from sandy-gravel mining complexes with different reclamation approaches. One Ecosystem 7: e83756. https://doi.org/10.3897/oneeco.7.e83756

Supplementary figures

opencc-zeroJun 2022View details →
zenodo28/100

Supplementary material 2 from: Kimeklis AK, Gladkov GV, Tembotov RH, Kichko AA, Pinaev AG, Hosid SL, Andronov EE, Abakumov EV (2022) Microbiome composition of disturbed soils from sandy-gravel mining complexes with different reclamation approaches. One Ecosystem 7: e83756. https://doi.org/10.3897/oneeco.7.e83756

Supplementary tables

opencc-zeroJun 2022View details →
zenodo28/100

Supplementary material 3 from: Kimeklis AK, Gladkov GV, Tembotov RH, Kichko AA, Pinaev AG, Hosid SL, Andronov EE, Abakumov EV (2022) Microbiome composition of disturbed soils from sandy-gravel mining complexes with different reclamation approaches. One Ecosystem 7: e83756. https://doi.org/10.3897/oneeco.7.e83756

Supplementary code

opencc-zeroJun 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record