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datasets available to search
ShareScore release 0.9.0
Dataset results
60 results for “material extraction”
Supplementary material 4 from: Marquina D, Roslin T, Łukasik P, Ronquist F (2022) Evaluation of non-destructive DNA extraction protocols for insect metabarcoding: gentler and shorter is better. Metabarcoding and Metagenomics 6: e78871. https://doi.org/10.3897/mbmg.6.78871
Bioinformatic pipeline
Supplementary material 2 from: Marquina D, Roslin T, Łukasik P, Ronquist F (2022) Evaluation of non-destructive DNA extraction protocols for insect metabarcoding: gentler and shorter is better. Metabarcoding and Metagenomics 6: e78871. https://doi.org/10.3897/mbmg.6.78871
COI reference library
Supplementary material 2 from: Majaneva M, Diserud OH, Eagle SHC, Hajibabaei M, Ekrem T (2018) Choice of DNA extraction method affects DNA metabarcoding of unsorted invertebrate bulk samples. Metabarcoding and Metagenomics 2: e26664. https://doi.org/10.3897/mbmg.2.26664
Final species table. :
Supplementary material 5 from: Majaneva M, Diserud OH, Eagle SHC, Hajibabaei M, Ekrem T (2018) Choice of DNA extraction method affects DNA metabarcoding of unsorted invertebrate bulk samples. Metabarcoding and Metagenomics 2: e26664. https://doi.org/10.3897/mbmg.2.26664
Methods (Scripts) :
Supplementary material 3 from: Majaneva M, Diserud OH, Eagle SHC, Hajibabaei M, Ekrem T (2018) Choice of DNA extraction method affects DNA metabarcoding of unsorted invertebrate bulk samples. Metabarcoding and Metagenomics 2: e26664. https://doi.org/10.3897/mbmg.2.26664
Number of reads per sample. :
Supplementary material 4 from: Majaneva M, Diserud OH, Eagle SHC, Hajibabaei M, Ekrem T (2018) Choice of DNA extraction method affects DNA metabarcoding of unsorted invertebrate bulk samples. Metabarcoding and Metagenomics 2: e26664. https://doi.org/10.3897/mbmg.2.26664
Diversity analyses. :
Supplementary material 1 from: Majaneva M, Diserud OH, Eagle SHC, Hajibabaei M, Ekrem T (2018) Choice of DNA extraction method affects DNA metabarcoding of unsorted invertebrate bulk samples. Metabarcoding and Metagenomics 2: e26664. https://doi.org/10.3897/mbmg.2.26664
Fragment and working PCR conditions. :
Supplementary material 5 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Alternative statistical model :
Supplementary material 4 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
4_NTC :
Supplementary material 2 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Bioinformatic pipeline and thresholds :
Supplementary material 3 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Profiling tables for all libraries :
Supplementary material 1 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Extraction protocols :
Supplementary material 1 from: Yusuf H, Kamarlis RK, Yusni Y, Fahriani M (2021) The anticancer activity of ethanol extract of Chromolaena odorata leaves in 7,12-Dimethylbenz[a]anthracene in (DMBA) induced breast cancer Wistar rats (Rattus novergicus). Pharmacia 68(2): 493-499. https://doi.org/10.3897/pharmacia.68.e63956
Table S1
Supplementary material 1 from: Röder N, Schwenk K (2023) Direct PCR meets high-throughput sequencing – metabarcoding of chironomid communities without DNA extraction. Metabarcoding and Metagenomics 7: e102455. https://doi.org/10.3897/mbmg.7.102455
Overview of chironomid size classes
Supplementary material 2 from: Röder N, Schwenk K (2023) Direct PCR meets high-throughput sequencing – metabarcoding of chironomid communities without DNA extraction. Metabarcoding and Metagenomics 7: e102455. https://doi.org/10.3897/mbmg.7.102455
Composition of the two artificial chironomid communities
Comparison of Post Tooth Extraction Healing Using Different Xenograft Materials
ClinicalTrials.gov study NCT03149172. IPD Sharing: NO. Countries: 1. Publications: 0.
Immediate Placement and Stabilization of Dental Implants With Tetranite Stabilization Material in Mandibular and Maxillary Tooth Extraction Sites That Fail to Provide Adequate Primary Stability
ClinicalTrials.gov study NCT04121364. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluating the Effectiveness of Axiostat Hemostatic Dressing Material Versus Conventional Method of Hemostasis and Healing of Extraction Wounds in Patients on Oral Anti-Platelet Drugs - A Comparative
ClinicalTrials.gov study NCT03108365. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Material extraction (used) (construction minerals) from Global Material Flows Database
<p>The following data was used in the paper "Schiller & Roscher (2023). Impact of Urbanization on construction material consumption: A global analysis" to calculate material consumption of non-metallic mineral construction materials.</p> <p>This dataset provided data on the extraction of mineral construction materials that are used for further processes. The data represent the extraction of raw materials from the environment by country. They are based on reported data on the one hand and estimated data on the other. The specific assumptions and factors for the estimates can be found in Krausmann et al. (2009). Growth in global material use, GDP and population during the 20th century. Ecological Economics 68(10) 2696-2705. doi: 10.1016/j.ecolecon.2009.05.007.<br> In the MFA methodology, some categories of materials are defined as "unused extraction" because they are not economically used or further processed. For example, unused materials include overburden from mining activities and unused residues from biomass extraction (OECD, 2008). These are not included in presented data.</p> <p>The following materials belong to the group of construction minerals: asphalt, chert and flint, common clay, clay for bricks etc., crushed stone, igneous rock, lava sand, limestone, marl, shell, loam, marble, travertines, sand and gravel, sandstone, slate and turfaceous rock (see Lutter, S., Lieber, M., & Giljum, S. (2016). Global Materialflow database. Material extraction data. Technical Report, Version 2015.1. retrieved February 2018 from www.materialflows.net).<br> The status of the given data is spring 2018 and was downloaded from www.materialflows.net at this time. Due to restructuring of the website, 2018 data is no longer available online. Current data on material extraction and consumption can be found on United Nations Environment Programme, International Resource Panel (IRP). (2023). Global Material Flows Database. https://www.resourcepanel.org/global-material-flows-database.</p>
Data and supplementary materials for the paper "DuplicatesExtractor: Extracting Code Duplicates As Soon As They Are Introduced in the IDE"
<p>This package presents all the necessary data for the paper "DuplicatesExtractor: Extracting Code Duplicates As Soon As They Are Introduced in the IDE".</p> <p>The package contains the following items:</p> <p>- The "source_code" directory contains the full source code of the plugin, along with its own README.<br> - The "DuplicatesExtractor-2021.2-1.0.zip" archive contains the pre-built version of the plugin. You can find the instructions on how to use it in the above-mentioned README in the "source_code" directory.<br> - The "supplementary.pdf" documents contains supplementary materials: the full list of the used metrics, the full list of the used projects, along with the list of the used models.<br> - The "demo.mp4" video contains the demonstration video for the tool.</p>
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.