Skip to main content
Powered by ShareScore

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.

7

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

7 results for “Biowaste”

Learn how ShareScore rates datasets ↗
zenodo48/100

Exemple of a valorization network based on a 10% collection rate from potential biowaste in the Grand Lyon territory (France).

<p>This study, conducted in the frame of the H2020 DECISIVE project, aims at developing a method to design a decentralized and small-scale AD (mAD) network in urban and peri-urban areas. A mixed integer linear program (MILP) was set up based on the proposed system. It aims at minimizing the impacts of the biowaste and the digestate transportation by minimizing their payload-distances while taking into account notably the technical constraints of the newly developed micro-AD. A Geographic Information System (GIS) based methodology was developed to feed the MILP model with very fine-scale data required to optimized a proximity treatment system. The method allows to locate and estimate the biowaste generation and to locate the digestate outlets, the agricultural areas, and to estimate the maximal amount of digestate usable. The candidate sites for mAD are identified with a GIS multi-criteria analysis that includes the environmental regulations, some urban planning rules and the site accessibility and heat outlet valorization. The method developed is successfully applied in the territory of The Grand Lyon Metropole (534 km&sup2;), located in France.&nbsp;The MILP model succeeds at providing a solution even with the very large problem studied (&ge;10<sup>8</sup> possible combination). Different scenarios can be easily tested to meet the potential needs of the stakeholder: the quantity of biowaste to treat, the type of sources to target, the synergy with the current treatment solution, etc.</p> <p>The data are provided through the open, non-proprietary GeoPackage files (GPKG) commonly recognized in GIS tools. A complementary xml file describe the metadata in compliance with the Inspire directive. A complementary pdf file describe the fields of the datasets.</p> <p>&nbsp;</p>

opencc-by-4.0Jul 2018View details →
zenodo40/100

Data for : Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops

<p>Data file for article:&nbsp; Effects of electrokinetic and ultrasonication pre-treatment and two-step anaerobic digestion of biowastes on the nitrogen fertiliser value by injection or surface banding to cereal crops (https://doi.org/10.1016/j.jenvman.2022.116699).</p>

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

Supplementary material to the study: "Understanding the interactions between biowaste valorization and selected Sustainable Development Goals: insights from an early transition stage"

<p>This file&nbsp;includes supplementary&nbsp;material for the journal article: &quot;Understanding the interactions between biowaste valorization and selected Sustainable Development Goals:&nbsp;insights from a national context at an early transition stage&quot;. The PDF file contains the interview guide, while the .xlsx file contains all other supplementary material.&nbsp;</p>

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

Data related to the utilisation of source-separated biowaste for the production of bio-based chemicals

<p><span>The main objective of this dataset was to demonstrate the technological solution of biosolvents production (mainly bioethanol) via the utilisation of urban biowaste within the city context of Athens, Greece. More specifically, the aim of the dataset is the demonstration of a pre-existing system, namely PILOT 5 for the production of bioethanol.&nbsp;</span></p> <p><span>The results achieved were very promising for the viability of the process, either with dried or wet feedstock. It is important to consider the energy consumption, as it constitutes more than 50% in the overall ethanol production cost. In comparison, the total energy consumption for the production of ethanol with dried feedstock is 26% higher than with wet feedstock.</span><span> </span><span>The most energy-intensive stage is drying, followed by distillation. </span></p> <p>&nbsp;</p>

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

Physical pretreatment of three biowastes to improve black soldier fly larvae bioconversion efficiency-data

<p>Publication with data set and codes included&nbsp;</p>

opencc-by-4.0Apr 2024View details →
dryad28/100

Data from: Synthesis of activated carbon from biowaste of fir bark for methylene blue removal

Activated carbon (AC) was successfully prepared from low-cost forestry fir bark (FB) waste using KOH activation method. Morphology and texture properties of ACFB was studied by scanning and high-resolution transmission electron microscopies (SEM and HRTEM), respectively. The resulting of fir bark based activated carbon (ACFB) demonstrated high surface area (1552 m2/g) and pore volume (0.84 cm3/g), both of which reflect excellent potential adsorption properties of ACFB towards methylene blue (MB). The effect of various factors, such as pH, initial concentration, adsorbent content as well as adsorption duration were studied individually. Adsorption isotherms of MB were fitted using all three non-linear models (Freundlich, Langmuir and Tempkin). The best fitting of MB adsorption results was obtained using Freundlich and Temkin. Experimental results showed that kinetics of MB adsorption by our ACFB adsorbent followed pseudo-second order model. Maximum adsorption capacity obtained was 330 mg/g, which indicated that fir bark is an excellent raw material for low-cost production of activated carbon suitable for cationic dye removal.

opencc-zeroAug 2019View details →
dryad28/100

Data from: Synthesis of activated carbon from biowaste of fir bark for methylene blue removal

Open the record for dataset details and reuse information.

publicJan 2020View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

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