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.

91,407

datasets available to search

ShareScore release 0.9.0

Reset

Dataset results

91,407 results for “Effectiveness”

Learn how ShareScore rates datasets ↗
zenodo40/100

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 1. Geographical distribution of the case studies

<p>The 50 cases of mobile and ubiquitous learning practices covered 14 countries/regions, including China, Japan, Taiwan, Korea, Sri Lanka, Turkey, Spain, Greece, the Netherlands, Britain, Australia, New Zealand, South Africa and the USA. Figure 1 shows the geographical distribution of the cases. Among the 50 cases, 70% were conducted in Asia, 16% in Europe, 4% in Oceania, 4% in Africa, and 2% in North America. Therefore, the results of this study represent more of the situation in Asia.</p>

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

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 7. Level of interactivity of the studies

<p>Figure 7 presents the level of interactivity in using mobile devices. Sixty percent of the cases involved only one-way access for information either online or offline, while 8% involved social interaction with information exchange among learners. Also 32% of the cases included both levels of interactivity in learning.</p>

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

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 4. Number of participants in the studies

<p>Figure 4 shows the number of participants in the studies, with the majority being on a small scale, having less than 100 participants (72%). Twenty percent of the studies involved over 100 but less than 1,000 participants, and only two cases included more than 1,000 participants (4%).</p>

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

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 2. Data collection methods of the studies (Note: A study may involve more than one method.)

<p>Figure 2 shows the data collection methods applied in the studies. Surveys were used in most of the selected cases (94%), followed by interviews (38%) and experiments (34%). Apart from these approaches, observation (12%), field materials (8%), video recordings (6%) and discussion threads (2%) were also used in some of the studies. Thirty of the cases involved the use of more than one method, mostly combining a survey and another one or more method. These suggest that most of the studies involved quantitative data at least in part.</p>

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

Success in Mobile and Ubiquitous Learning: Indicators of Effectiveness-Figure 3. Education level of the studies

<p>Figure 3 presents the education levels of the mobile and ubiquitous learning practices. Most studies took place at the tertiary level (66.7%). Also, 25.5% of the studies were conducted at the primary school level and 7.8% at the secondary school level.</p>

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

Data - Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 2. Nonionic micellar systems

<p><strong>Overview</strong></p> <p>The production of recombinant biopharmaceuticals is highly dependent of a proper choice of the downstream processing stages. Particularly, the purification that must ensure that all the endotoxins (lipopolysaccharide - LPS) are efficiently removed from the final product. This dataset contains the raw data and statistical analysis for the research entitled - &quot;Effect of electrolytes as adjuvants in GFP and LPS partitioning on aqueous two-phase systems: 2. Nonionic micellar systems&quot;.&nbsp;</p> <p><strong>Info</strong></p> <p>ANOVA_Turkey_Sub.R &lt;-&nbsp;code for ANOVA analysis in R statistic 3.3.3&nbsp; &nbsp;&nbsp;<br> glm.R &lt;-&nbsp;code for GLM analysis in R statistic 3.3.3<br> K&amp;REC_ORG_ANOVA.csv&nbsp; &lt;-&nbsp;File with raw values organized in a spreadsheet of GFP&nbsp;partition coefficient (K) and recover (REC) for ANOVA analysis</p> <p>K_ORG_ANOVA.docx &lt;-&nbsp;&nbsp;File with ANOVA result of&nbsp;partition coefficient (K) for GFP</p> <p>REC_ORG_ANOVA.docx&nbsp; &lt;-&nbsp;File with ANOVA result of&nbsp;partition coefficient (REC) for GFP</p> <p>REM_LPS_ORG_ANOVA.csv&nbsp; &lt;- File with raw values organized in a spreadsheet of LPS removal&nbsp;for ANOVA analysis</p> <p>REM_LPS_ORG_ANOVA.docx&nbsp; &lt;-&nbsp;File with ANOVA result of&nbsp;removal of LPS</p> <p>Stability__ORG_ANOVA.csv &lt;-&nbsp;File with raw values organized in a spreadsheet of GFP stability for ANOVA analysis</p> <p>Stability__ORG_ANOVA.docx&nbsp; &lt;-&nbsp;File with ANOVA result of&nbsp;GFP stability</p> <p>K_ORG_glm_005.csv&nbsp; &lt;- File with raw values organized in a spreadsheet of GFP&nbsp;partition coefficient (K)&nbsp;for GLM analysis in 0.05M salt assays&nbsp;&nbsp; &nbsp;</p> <p>K_ORG_glm_005.doc &lt;-&nbsp;File with&nbsp;GLM analysis&nbsp;of GFP&nbsp;partition coefficient (K) in 0.05M salt assays&nbsp;&nbsp;</p> <p>K_ORG_glm_005_QQ.png &lt;- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.05M salt assays&nbsp;&nbsp;</p> <p>K_ORG_glm_025.csv&nbsp; &lt;- File with raw values organized in a spreadsheet of GFP&nbsp;partition coefficient (K)&nbsp;for GLM analysis in 0.25M salt assays&nbsp;&nbsp; &nbsp;</p> <p>K_ORG_glm_025.doc &lt;-&nbsp;File with&nbsp;GLM analysis&nbsp;of GFP&nbsp;partition coefficient (K) in 0.25M salt assays&nbsp;&nbsp;</p> <p>K_ORG_glm_025_QQ.png &lt;- Residual quantile plot of GLM analysis for partition coefficient (K) in 0.25M salt assays&nbsp;&nbsp;</p> <p>REC_ORG_glm_005.csv &lt;-&nbsp;File with raw values organized in a spreadsheet of GFP&nbsp;recover (REC) for GLM analysis in 0.05M salt assays</p> <p>REC_ORG_glm_005.doc &lt;-&nbsp;&nbsp;File with&nbsp;GLM analysis&nbsp;of GFP recover (REC)&nbsp;in 0.05M salt assays&nbsp;&nbsp; &nbsp;</p> <p>REC_ORG_glm_005_QQ.png &lt;-&nbsp;Residual quantile plot of GLM analysis of GFP recover (REC) in 0.05M salt assays &nbsp;&nbsp;</p> <p>REC_ORG_glm_025.csv &lt;-&nbsp;File with raw values organized in a spreadsheet of GFP&nbsp;recover (REC) for GLM analysis in 0.25M salt assays</p> <p>REC_ORG_glm_025.doc &lt;-&nbsp;&nbsp;File with&nbsp;GLM analysis&nbsp;of GFP recover (REC)&nbsp;in 0.25M salt assays&nbsp;&nbsp; &nbsp;</p> <p>REC_ORG_glm_025_QQ.png &lt;-&nbsp;Residual quantile plot of GLM analysis of GFP recover (REC) in 0.25M salt assays &nbsp;&nbsp;</p> <p>REM_ORG_glm_005.csv &lt;- File with raw values organized in a spreadsheet of LPS removal&nbsp;(REM) for GLM analysis in 0.05M salt assays</p> <p>REM_ORG_glm_005.doc &lt;-&nbsp;&nbsp;File with&nbsp;GLM analysis&nbsp;of LPS removal&nbsp;(REM)&nbsp;in 0.05M salt assays&nbsp;&nbsp;</p> <p>REM_ORG_glm_005_QQ.png &lt;-&nbsp;&nbsp;Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays</p> <p>REM_ORG_glm_025.csv &lt;-&nbsp;File with raw values organized in a spreadsheet of LPS removal&nbsp;(REM) for GLM analysis in 0.25M salt assays</p> <p>REM_ORG_glm_025.doc &lt;-&nbsp;&nbsp;File with&nbsp;GLM analysis&nbsp;of LPS removal&nbsp;(REM)&nbsp;in 0.25M salt assays&nbsp;</p> <p>REM_ORG_glm_025_QQ.png &lt;-&nbsp;&nbsp;Residual quantile plot of GLM analysis of LPS removal (REM) in 0.25M salt assays</p> <p>&nbsp;</p> <p><strong>Annotation</strong></p> <p>12/12 - Concentration of 12% of each polymer PEG/NaPA</p> <p>16/16 -&nbsp;Concentration of 16% of each polymer PEG/NaPA</p> <p>P/N -&nbsp;&nbsp;PEG/NaPA</p> <p>10e4, 10e5, 10e6 - Concentration of LPS in scientific notation - 10000, 100000, 100000 EU/mL</p> <p>poly - Polymer</p> <p>salt - Salt concentration in the assay</p> <p>tsalt - Type of salt in the assay (NaCl, KNO3, KI and Li2SO4)</p> <p>lps - lipopolysaccharide</p> <p>K -&nbsp;GFP&nbsp;partition coefficient</p> <p>REM -&nbsp;LPS removal</p> <p>REC -&nbsp;GFP recover</p> <p>wo_salt - Assay without salt addition</p> <p><strong>Acknowledgements</strong></p> <p>The authors are grateful for financial support from FAPESP (S&atilde;o Paulo Research Foundation, Brazil) through the following projects: 2005/60159-7; 2007/51978-0; 2014/16424-7; and 2014/19793-3. The authors also acknowledge the support from CAPES (Coordena&ccedil;&atilde;o de Aperfei&ccedil;oamento de Pessoal de N&iacute;vel Superior, Brazil) through the process #0366/09-9 and CNPq (Conselho Nacional de Desenvolvimento Cient&iacute;fico e Tecnol&oacute;gico, Brazil).</p> <p><strong>Consider citing our work.&nbsp;</strong></p> <p>1. Work in progress...</p>

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

Data, plotting scripts, and figures for "Computational study of the effects of density, fuel content, and moisture content on smoldering propagation of cellulose and hemicellulose mixtures"

<p>This bundle of files contains all the data and plotting scripts for &quot;Computational study of the effects of density, fuel content, and moisture content on smoldering propagation of cellulose and hemicellulose mixtures&quot;, as well as the figures themselves.</p> <p>These results are part of the paper:</p> <p>Tejas Chandrashekhar Mulky and&nbsp;Kyle E. Niemeyer.&nbsp;&quot;Computational study of the effects of density, fuel content, and moisture content on smoldering propagation of cellulose and hemicellulose mixtures,&quot; 2018. Accepted for publication in <em>Proceedings of the Combustion Institute</em>,&nbsp;available via <a href="https://arxiv.org/abs/1806.08396">https://arxiv.org/abs/1806.08396</a></p>

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

Data from: Rhizosphere bacterial community composition depends on plant species identity and soil legacy effects

<p>This record contains supplementary information for the article &quot;Rhizosphere bacterial community composition depends on plant diversity legacy in soil and plant species identity&quot;.</p> <p><strong>Supplemental Table S1.</strong> The table contains the annotation for all the samples sequenced and analyzed.</p> <p><strong>Supplemental Table S2. </strong>The table contains all primer sequences used in the study.</p> <p><strong>Supplemental Table S3.</strong> The zip-file contains a table with the taxonomic annotation of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S4.&nbsp;</strong> The zip-file contains a table with sequence counts of the operational taxonomic units (OTUs) identified in the study.</p> <p><strong>Supplemental Table S5. </strong>The workbook contains a sheet with the number of operational taxonomic units (OTUs) exhibiting differential abundance in any of the contrasts tested in this study. Note that &ldquo;down/up&rdquo; indicates whether the OTU was less (&ldquo;down&rdquo;) or more (&ldquo;up&rdquo;) abundant in the first group of the contrast. For example, given the contrast &ldquo;PH_mix_vs_mon_&rdquo;, &ldquo;down&rdquo; corresponds to higher abundance in the pots from the monoculture plant history. Conversely, &ldquo;up&rdquo; refers to higher abundance in the pots from the mixed culture plant history. In addition, the workbook contains one sheet per contrast with the logBaseMean (log2 of the average normalized abundance across all samples), the logFC (log2 of the fold-change), the <em>P</em>-value, and the adjusted <em>P</em>-value (FDR). Only OTUs with a <em>P</em>-value &lt;= 0.05 or an adjusted <em>P</em>-value (FDR) &lt;= 0.1 are given.</p> <p><strong>Supplemental Table S6. </strong>The table contains the number of bacterial OTUs annotated with a given bacterial phylum.</p> <p><strong>Supplemental Table S7. </strong>The table contains all phyla tested for enrichment/depletion in the set of OTUs with an increased abundance in monoculture and mixed culture soils respectively. &ldquo;Total counts (all OTUs)&rdquo; corresponds to the total number of all OTUs annotated with a given phyla (reference set). &ldquo;Observed&rdquo; corresponds to the number of OTUs annotated with a given phyla in the set OTUs with increased abundance in monoculture/mixed culture soils (test set). &quot;Expected&quot; gives the number of OTUs which would be expected to be annotated with a given phyla if the test set were randomly sampled from the reference set.</p> <p><strong>Supplemental File S1.</strong> The zip-file contains a fasta file with the 10&#39;205 OTU sequences identified in the study.</p> <p>&nbsp;</p> <p>&nbsp;</p>

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

Effects of community management on user activity in online communities

<p>Data and code needed to reproduce the results of the paper &quot;Effects of community management on user activity in online communities&quot;, available in draft <a href="https://www.overleaf.com/13551865bzgswwbvkpgq#/52358582/">here</a>.</p> <p>Instructions:</p> <ol> <li>Unzip the files.</li> <li>Start with JSON files obtained from calling platform APIs: each dataset consists of&nbsp; one file for posts, one for comments, one for users. In the paper we use two datasets, one referring Edgeryders, the other to Matera 2019.</li> <li>Run them through edgesense (https://github.com/edgeryders/edgesense). Edgesense allows to set the length of the observation period. We set it to 1 week and 1 day for Edgeryders data, and to 1 day for Matera 2019 data. Edgesense stores its results in a file called JSON network.min.json, which we then rename to keep track of the data source and observation length.</li> <li>Launch Jupyter Notebook and run the notebook provided to convert the network.min.json files into CSV flat files, one for each netwrk file</li> <li>Launch Stata and open each flat csv files with it, then save it in Stata format.</li> <li>Use the provided Stata .do scripts to replicate results.</li> </ol> <p>Please note: I use both Stata and Jupyter Notebook interactively, running a block with a few lines of code at a time. Expect to have to change directories, file names etc.</p> <p>&nbsp;</p>

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

Reciprocal F1 hybrids of two inbred mouse strains reveal parent-of-origin and perinatal diet effects on behavior and expression

<p>Raw data and statistical analyses from an experiment to study parent-of-origin and diet-by-parent-of-origin effects on expression and behavior.&nbsp;</p> <p>In this experiment, female NOD/ShiLtJ x C57Bl/6J and C57Bl/6J x NOD/ShiLtJ mice were exposed in utero to one of four diets. After weaning, their whole-brain gene expression, as well as a set of behaviors that model psychiatric disease, were recorded and analyzed.</p> <p>File_S1_README contains detailed descriptions of all included files.</p>

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

Original reconstructions for the research in "X-ray nanotomography of individual pulp fibre bonds reveals the effect of wall thickness on contact area"

<p>The following data set contains the original cropped and straightened reconstruction stacks of all the cellulose fibre bond samples imaged for the study outlined in the article<strong> &ldquo;</strong>X-ray nanotomography of individual pulp fibre bonds&nbsp;reveals the effect of wall thickness on contact area&rdquo; by T. Sormunen, A. Ketola, A. Miettinen, J. Parkkonen and E. Retulainen. The article is currently (23.11.2018) in&nbsp;decision phase.</p> <p>In addition, the algorithm for reconstruction stack processing conducted in ImageJ and the MATLAB function for contact area and pixelwise correlation calculations are included.</p>

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

Supporting data for "Snap happy: camera traps are an effective sampling tool when compared to alternative methods"

<p>Author recommendations and response ratios extracted from studies comparing camera traps to another survey method. These data underlie the analyses in a the journal article &#39;Snap happy: camera traps are an effective sampling tool when compared to alternative methods&#39;, published in the journal Royal Society Open Science (https://doi.org/10.1098/rsos.181748).&nbsp;&nbsp;</p>

opencc-by-nc-4.0Oct 2018View details →
zenodo40/100

Cell specificity of human regulatory annotations and their genetic effects on gene expression

<p>Processed data for the manuscript: Cell specificty of regulatory annotations and their genetics effects on gene expression.</p> <p>The code to generate these data is included in the zip-file: regulatoryAnnotations_comparisons-master.zip</p> <p>and at GitHub:&nbsp; https://github.com/ParkerLab/regulatoryAnnotations_comparisons</p> <p>Individual dataset information:</p> <p>numberOfSegments.dat.gz: Number of segments in each annotation</p> <p>lengthDistributionOfSegments.dat.gz: Length distribution of segments in each annnotation</p> <p>genomeCoverage.dat.gz: Total genome coverage of regions in each annoation</p> <p>overlapFraction.dat.gz: Basepair level overlap between two pairs of annotations</p> <p>annotations_chromatinStateOverlap.dat.gz: Overlap of annotations with chromatin states</p> <p>information.fourcells_enhancer.dat.gz: Information content of the mean enhancer chromatin posterior probability for annotation segments across four cell types</p> <p>information.fourcells_promoter.dat.gz: Information content of the mean promoter chromatin posterior probability for annotation segments across four cell types</p> <p>gwas_enrichment_stats.txt.gz: Enrichment of GWAS SNPs in annotations</p> <p>GTEx_v7.ESI_medianTPM_min0.15.dat.gz : ESI for genes across 50 tissues</p> <p>gtexv7_lcleqtl.enrichment.dat.gz: Enrichment of GTEx v7 LCL eQTL in annotations</p> <p>gtexv7_lcleqtl.binned_lclESI.enrichment.dat.gz: Enrichment of GTEx v7 LCL eQTL binned by lclESI in annotations</p> <p>K562.gtexv7_bloodeqtl.fdr0.1.prune0.8.maf0.2.ld0.99.annotations.dat.gz:&nbsp; GTEx v7 blood eQTL effect sizes in K562 annotations &nbsp; &nbsp;</p> <p>GM12878.gtexv7_lcleqtl.fdr0.1.prune0.8.maf0.2.ld0.99.annotations.dat.gz: GTEx v7 LCL eQTL effect sizes in GM12878 annotations</p> <p>GM12878.dsqtl.prune0.8.maf0.2.ld0.99.annotations.dat.gz : GM12878 DNase QTL effect sizes in GM12878 annotations</p> <p>GM12878.allelicBiasResults.FracRef.downsampled30.annotations.withMAF.dat.gz: GM12878 ATAC-seq allelic bias effect sizes in GM12878 annotations &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;</p> <p>&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;<br> &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;<br> &nbsp; &nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;</p>

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

Data: Effects of broadband sound exposure on the interaction between foraging crab and shrimp – a field study

<p>Data abstract:</p> <p>Data on foraging crabs and shrimps during trials with or without broadband sound exposures. Trials were conducted in situ using baited cameras.</p> <p>&nbsp;</p> <p>Paper abstract:</p> <p>Aquatic animals live in an acoustic world in which they often rely on sound detection and recognition for various aspects of life that may affect survival and reproduction. Human exploitation of marine resources leads to increasing amounts of anthropogenic sound underwater, which may affect marine life negatively. Marine mammals and fishes are known to use sounds and to be affected by anthropogenic noise, but relatively little is known about invertebrates such as decapod crustaceans. We conducted experimental trials in the natural conditions of a quiet cove. We attracted shore crabs (<em>Carcinus maenas</em>) and common shrimps (<em>Crangon crangon</em>) with an experimentally fixed food item and compared trials in which we started playback of a broadband artificial sound to trials without exposure. During trials with sound exposure, the cumulative count of crabs that aggregated at the food item was lower, while variation in cumulative shrimp count could be explained by a negative correlation with crabs. These results suggest that crabs may be negatively affected by artificially elevated noise levels, but that shrimps may indirectly benefit by competitive release. Eating activity for the animals present was not affected by the sound treatment in either species. Our results show that moderate changes in acoustic conditions due to human activities can affect foraging interactions at the base of the marine food chain.</p> <p>&nbsp;</p> <p>Reference:</p> <p>Hubert, J., Campbell, J., van der Beek, J.G., den Haan, M.F., Verhave, R., Verkade L.S., and Slabbekoorn H. (2018) Effects of broadband sound exposure on the interaction between foraging crab and shrimp - a field study. Environ. Pollut. 243, 1923&ndash;1929. DOI:10.1016/j.envpol.2018.09.076</p>

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

Data accompanying "Genomic data recover previously undetectable fragmentation effects in an endangered amphibian"

<p>Target sequences and&nbsp;SNP and genotype calls from the manuscript&nbsp;&quot;Genomic data recover previously undetectable fragmentation effects in an endangered amphibian&quot;.</p>

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

An Insight on the Effect of Azobenzene Functionalities Studied in UiO-66 Framework for Low Energy CO2 Capture and CO2/N2 Membrane Separation

<p>Data supporting journal manuscript. Includes an Excel spreadsheet with all the raw data for the figures in the manuscript, calibrations and calculations. Also includes 3D chemical structures of MOF units, and SEM images of MOF/polymer composite materials.</p> <p><strong>Abstract</strong></p> <p>In this paper, we report a simple approach to study the fundamental aspect of light-responsive metal organic framework (MOF) in UiO-66 topology through a mixed-ligand approach. Apart from change in the structural property, the loading of azobenzene linker inside the framework also affects the CO<sub>2&nbsp;</sub>light-responsive property and CO<sub>2</sub>/N<sub>2&nbsp;</sub>selectivity which could help to design future low-energy CO<sub>2&nbsp;</sub>adsorbents. Further study to incorporate the MOFs into mixed matrix membranes also indicates the benefit of higher azobenzene loading in the MOF to enhance the CO<sub>2</sub>/N<sub>2&nbsp;</sub>separation performance since it can improve the separation performance which could not be obtained in non-functionalized fillers.&nbsp;</p> <p><strong>Preprint manuscript</strong></p> <p>A Preprint&nbsp;version of the manuscript is available at:&nbsp;<a href="https://doi.org/10.26434/chemrxiv.7568696.v1">https://doi.org/10.26434/chemrxiv.7568696.v1</a>&nbsp;</p> <p><strong>Published article</strong></p> <p>Journal of Materials Chemistry A, 2019, DOI: <a href="https://doi.org/10.1039/C9TA02096A">https://doi.org/10.1039/C9TA02096A</a></p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

Supplemental Raw Data for Imboden et al., High-speed mechano-active multielectrode array for investigating rapid stretch effects on cardiac tissue

<p>The file contains the central raw data underlying Figure 5 and, in the supplementary material, Figure 13 of the article &#39;High-speed mechano-active multielectrode array for investigating rapid stretch effects on cardiac tissue&#39;.</p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

Memory Effects in a Random Walk Description of Protein Structure Ensembles

<p>This <a href="https://www.activepapers.org/">ActivePaper </a>file contains all the code and data that was used in generating the figures for the article &quot;Memory Effects in a Random Walk Description of Protein Structure Ensembles&quot; by Gerald R Kneller and Konrad Hinsen, J. Chem. Phys. <strong>150</strong>, 064911 (2019); <a href="https://doi.org/10.1063/1.5054887">https://doi.org/10.1063/1.5054887</a></p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

Visual Abstract for "Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook"

<p>Visual Abstract for &quot;Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook&quot;.</p> <p>Ribeiro, L., Petroll, M., Scussel, F., &amp; Damacena, C. (2018). Incongruent Humour, Advertising Effectiveness and Women: An Experiment On Facebook. <em>Revista de Administra&ccedil;&atilde;o Contempor&acirc;nea, 23</em>(1), 1-22. doi:<a href="https://doi.org/10.1590/1982-7849rac2019180034">https://doi.org/10.1590/1982-7849rac2019180034</a></p>

opencc-by-4.0Jan 2019View details →
zenodo40/100

Dataset - Production of polyhydroxybutyrates and carbohydrates in a mixed cyanobacterial culture: effect of nutrients limitation and photoperiods

<p>The data set attached is two excel files where the data from the article <strong>&ldquo;</strong><strong>Production of polyhydroxybutyrates and carbohydrates in a mixed cyanobacterial culture: effect of nutrients limitation and photoperiods</strong>&rdquo;, published in New Biotechnology (Vol. 42, 25<sup>th</sup> May 2018, 1-11), can be found, as well as the different equations and formulae that were used to obtain the published results.</p>

opencc-by-4.0Mar 2019View 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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.