Find research datasets worth reusing

Pan-cancer Proteomics Analysis to Identify Tumor-Enriched and Highly Expressed Cell Surface Antigens as Potential Targets for Cancer Therapeutics

CPTAC PAN-cancer Data Repository Welcome to the CPTAC PAN-cancer Data Repository! This repository serves as a data repository for the CPTAC PAN-cancer effort, which focuses on cancer target discovery. It contains various data sets related to protein abundance estimation, derived TMT-TPA, iBAQ, iBAQ-derived copy number, and differential protein expression for CPTAC ten indications. ## Contents The repository includes the following data: - FragPipe Output: Protein abundance estimation data generated using the FragPipe software. - Derived TMT-TPA: Data derived from Tandem Mass Tag (TMT) based Total Protein Approach (TPA). - iBAQ: Data representing intensity-based absolute quantification (iBAQ) of proteins. - iBAQ-derived Copy Number: Data derived from iBAQ analysis for copy number estimation. - Differential Protein Expression: Data indicating differential expression of proteins between tumor and NAT. ## Data Organization The data in this repository is organized in a structured manner to facilitate easy access and navigation. The repository structure is as follows: FragPipe/ [fragpipe_data_files] Derived_TMT_TPA/ [derived_tmt_tpa_data_files] iBAQ/ [ibaq_data_files] iBAQ-derived_copy_number/ [ibaq_copy_number_data_files] Differential_protein_expression/ [differential_expression_data_files]

Nanocrystalline Flash Annealed Nickel Oxide for Large Area Perovskite Solar Cells

Dataset supporting the manuscript "Nanocrystalline Flash Annealed Nickel Oxide for Large Area Perovskite Solar Cells" published in Advanced Science (DOI:10.1002/advs.202302549) Datasets are named according to the corresponding figures, with data related to each panel named according to the panel. Further complementary information about the data can be found in the README files.

Dataset: Nutrient Removal in Roadside Stormwater Bioretention Cells Amended with Drinking Water Treatment Residuals

This dataset contains storm volumes and nitrogen and phosphorus concentrations measured at the inflow and outflow of four roadside, lined bioretention cells in a field study conducted in Burlington, Vermont Phosphorus data are published in: Ament, M. R., Roy, E. D., Yuan, Y., & Hurley, S. E. (2022). Phosphorus removal, metals dynamics, and hydraulics in stormwater bioretention systems amended with drinking water treatment residuals. Journal of Sustainable Water in the Built Environment, 8(3), 04022003. Nitrogen data are included in a manuscript currently under review.

opencc-zeroJun 2023View details →

dryad40/100

MLL3 ChIP sequencing in murine and human HCC cells

Mutations in genes encoding components of chromatin modifying and remodeling complexes are among the most frequently observed somatic events in human cancers. For example, missense and nonsense mutations targeting the mixed lineage leukemia family member 3 (MLL3/KMT2C) histone methyltransferase occur in a range of solid tumors and heterozygous deletions encompassing MLL3 occur in a subset of aggressive leukemias. Although MLL3 loss can promote tumorigenesis in mice, the molecular targets and biological processes by which MLL3 suppresses tumorigenesis remain poorly characterized. Here we combined genetic, epigenomic, and animal modeling approaches to demonstrate that one of the mechanisms by which MLL3 links chromatin remodeling to tumor suppression is by co-activating the Cdkn2a tumor suppressor locus. Disruption of Mll3 cooperates with Myc overexpression in the development of murine hepatocellular carcinoma (HCC), in which MLL3 binding to the Cdkn2a locus is blunted, resulting in reduced H3K4 methylation and low expression levels of the locus-encoded genes, Ink4a and Arf. Conversely, elevated MLL3 expression increases its binding to the CDKN2A locus and co-activates gene transcription. Endogenous Mll3 restoration reverses these chromatin and transcriptional effects and triggers Ink4a/Arf-dependent apoptosis. Underscoring the human relevance of this epistasis, we found that genomic alterations in MLL3 and CDKN2A display mutual exclusivity in human HCC samples. These results collectively point to a new mechanism for disrupting CDKN2A activity during cancer development and, in doing so, link MLL3 to an established tumor suppressor network.

Source data for paper "Mapping disease regulatory circuits at cell-type resolution from single-cell multiomics data"

Sample-paired scRNA-seq and scATAC-seq data collected from human peripheral blood mononuclear cells with Staphylococcus aureus infection. ScATAC-seq data collected from human peripheral blood mononuclear cells with COVID-19 infection.

opencc-by-4.0Aug 2023View details →

The cell-associated magnesium content is affected in Salmonella mutants defective for SigmaS/RpoS and O-antigen synthesis

In many Gram-negative bacteria, the stress sigma factor of RNA polymerase, σS/RpoS, remodels global gene expression to reshape the physiology of quiescent cells and ensure their survival under non-optimal growth conditions. In the foodborne pathogen Salmonella enterica serovar Typhimurium, σS is also required for biofilm formation and virulence.                    Our recent work has shown that a ΔrpoS mutation reduces the magnesium content of Salmonella (Metaane et al. 2022, PLoS ONE 17(3): e0265511).  The O-antigen of LPS is a Mg2+ reservoir that can be used under magnesium deprivation.        We show here that eventhough the cell-associated magnesium content is affected when Salmonella lacks the entire O-antigen, an effect of the ΔrpoS mutation can be still observed.      We have also shown that the amount of intracellular free Mg2+ is slightly reduced in the ΔrpoS mutant compared to the wild-type strain (Metaane et al 2023, PLoS ONE 18(9): e0291736).     This work was supported by the French National Research Agency (ANR-19-CE44-0005-01, PERIOMET project).

Bulk RNA-seq dataset of human embryonic stem cells (hESCs) differentiation

The dataset consists of 31 bulk samples obtained from human embryonic stem cells undergoing undirected differentiation. The samples were collected at 16 time points on days 0 and 7-21 of differentiation. The file contains the raw read counts. More details can be found in: SPIRAL: Significant Process InfeRence ALgorithm for single cell RNA-sequencing and spatial transcriptomics\ Hadas Biran, Tamar Hashimshony, Tamar Lahav, Or Efrat, Yael Mandel-Gutfreund, and Zohar Yakhini  <a href="https://doi.org/10.1101/2022.05.24.493189">https://doi.org/10.1101/2022.05.24.493189</a>

Data for "Symbiotic nutrient exchange enhances the long-term survival of cassiosomes, the autonomous stinging-cell structures of Cassiopea"

Raw data linked to the publication "Symbiotic nutrient exchange enhances the long-term survival of cassiosomes, the autonomous stinging-cell structures of Cassiopea". NanoSIMS data and data from the survival experiments are available as individual tabs in the excel file.

Confocal microscopy images (CZI files) of human chondrocytes in different cell culture media with stained nuclei and primary cilia

1. Methods 1.1 Cell culture For investigating the influence of the cell culture medium composition on the lengths of primary cilia, human non-degenerative chondrocytes from a 30-year-old male donor (NHAC-kn, CC-2550; LONZA, Walkersville Inc., Walkersville, MD, USA) were used. These chondrocytes were seeded in passage four with a density of 28000 cells/cm2 on collagen-coated glass coverslips (GG-15-Collagen; Neuvitro Corporation, Camas, WA, USA). The cells were cultivated in 12-well plates (Thermo Fisher Scientific Inc., Waltham, MA, USA) under hypoxic conditions at 37°C, 5% CO2 and 5% O2 with different media compositions for three days. The basal medium consisted of Dulbecco’s Modified Eagle Medium (DMEM) (Gibco™) including high glucose (GlutaMAX™), sodium pyruvate supplements (Thermo Fisher Scientific Inc., Waltham, MA, USA), as well as 1% penicillin/streptomycin (Pen/Strep; Thermo Fisher Scientific Inc.), 1% Amphotericin B (Biochrom GmbH, Berlin, Germany), and 50 µg mL−1 ascorbic acid (Sigma-Aldrich, Merck KGaA, Darmstadt, Germany). To this basal medium, different supplements were added, creating four groups: 1) ITS: 1% Insulin-Transferrin-Selenium (ITS+™ Premix, BD Biosciences, Franklin Lakes, NJ, USA), 2) ITS with Dexa: 1% Insulin-Transferrin-Selenium (ITS+™) and 100 nM dexamethasone (Sigma-Aldrich, Merck KGaA, Darmstadt, Germany), 3) ITS with Dexa + IGF-1 + TGF-β1: 1% Insulin-Transferrin-Selenium (ITS+™), 100 nM dexamethasone, 50 ng mL−1 insulin-like growth factor (IGF)-1 (R&D Systems, Minneapolis, MN, USA) and 50 ng mL−1 transforming growth factor (TGF)-β1 (Peprotec, Hamburg, Germany), 4) FBS: 10% fetal bovine serum (FBS, Pan Biotech, Aidenbach, Germany). 1.2 Immunocytochemistry After three days of cultivation in the different media compositions, the chondrocytes were washed once with phosphate-buffered saline (PBS; Biochrom GmbH, Berlin, Germany) and fixed for 10 min at room temperature (RT) with 4% paraformaldehyde (ROTI ® Histofix, Carl Roth GmbH + Co. KG, Karlsruhe, Germany). After fixation, cells were washed again and permeabilized with 0.2% Triton-X100 (Merck, Darmstadt, Germany) for 10 min. For blocking the unspecific binding sites, cell-seeded coverslips were incubated with bovine serum albumin (BSA; Sigma-Aldrich) with a concentration of 5% in PBS for one hour at RT after another washing step with PBS. To stain the primary cilium, cells were incubated with anti-acetylated α-tubulin (6-11B-1) (RRID: AB 628409) labeled with Alexa Fluor 647 (sc-23950 AF647, Santa Cruz Biotechnology, Dallas, TX, USA) diluted 1:200 in PBS at 4°C overnight. Additionally, the Actin cytoskeleton was stained with Acti-stain 488 Fluorescent Phalloidin (Cytoskeleton, Inc., Denver, CO, USA) diluted 10 in PBS for 30 min at RT. Afterward, cells were washed three times with PBS, and the coverslips were fixed with Fluoroshield™ (Sigma-Aldrich) containing 4’,6-Diamidino-2-phenylindole (DAPI). 1.3 Image acquisition Three-dimensional fluorescence images of stained cells were acquired with a ZEISS ELYRA LSM 780 confocal laser scanning microscope (CLSM) (Carl Zeiss AG, Oberkochen, Germany). Images were recorded using a Plan-Apochromat 63×/1.40 Oil DIC M27 objective (Carl Zeiss AG, Oberkochen, Germany). The distance of two layers was 0.2814 µm and the resolution 1024 × 1024 pixels (scan magnification: 0.6, pixel length: 0.2196 µm).

opencc-by-4.0Jan 2023View details →

Gene expression dataset of the Spatially Resolved Single-cell Translatomics at Molecular Resolution

Here are the gene expression datasets of RIBOmap included in "Spatially Resolved Single-cell Translatomics at Molecular Resolution" from Zeng et al. Please refer to the README file for more detailed information.    Abstract The precise control of mRNA translation is a crucial step in post-transcriptional gene regulation of cellular physiology. However, it remains a major challenge to systematically study mRNA translation at the transcriptomic scale with spatial and single-cell resolution. Here, we report the development of RIBOmap, a three-dimensional (3D) in situ profiling method to detect mRNA translation of thousands of genes simultaneously in intact cells and tissues. By applying RIBOmap to 981 genes in HeLa cells, we revealed a remarkable dependency of translation on cell-cycle stages and subcellular localization. Furthermore, we profiled single-cell translatomes of 5,413 genes in adult mouse brain tissues yielding a spatial cell atlas of 119,173 cells. The pairwise spatial mapping of single-cell translatome and transcriptome in two adjacent mouse brain slices revealed cell-type and brain-region-dependent translational regulation and suggested a translation remodeling during oligodendrocyte lineage maturation. The spatial translatome profiling detected widespread patterns of localized translation in neuronal and glial cells in intact brain tissue networks. Together, RIBOmap presents the first spatially resolved single-cell translatomics technology, accelerating our understanding of protein synthesis in the context of subcellular architecture, cell types, and tissue anatomy.

opencc-by-4.0Mar 2023View details →

Supporting data for "Dissecting the cellular architecture of neuroblastoma bone marrow metastasis using single-cell transcriptomics and epigenomics unravels the role of monocytes at the metastatic niche"

This data repository contains several datasets supplementing the paper “Dissecting the cellular architecture of neuroblastoma bone marrow metastasis using single-cell transcriptomics and epigenomics unravels the role of monocytes at the metastatic niche” by Fetahu, Esser-Skala, Dnyansagar et al. (2023). <ul> <li>HOMER_Results.zip: detailed results of the HOMER analysis</li> <li>nblast_scopen_gene_activity_normalized_motifs_added.rds: Seurat object with scATAC-seq data</li> <li>snp_array.tgz: SNP array data</li> <li>R_data_generated.tgz: Files generated by the scRNA-seq analysis scripts in the GitHub repository associated with the publication.</li> </ul>

Comparative Analysis of Droplet- vs. Microwell-based Whole Transcriptome Single-Cell Sequencing Technologies in Complex Human Tissues

In the past decade, high-dimensional single-cell omics tools have enabled scientists to study the tumor microenvironment (TME) in unprecedented detail. However, recent investigations suggest that each technique has its unique strengths but also technology-inherent limitations. Here we directly compared two commercially available high-throughput single-cell RNA sequencing (scRNA-seq) technologies - droplet-based 10X Chromium vs. microwell-based BD Rhapsody - using paired samples from patients with localized prostate cancer (PCa) undergoing a radical prostatectomy. Although high technical consistency was observed in unraveling the whole transcriptome, the relative abundance of detectable cell populations differed. This could in part be ascribed to differences in the performance to recover cells with low-mRNA content. Hence, immune cells such as neutrophils are underrepresented in data generated with the widely used droplet-based scRNA-seq protocol, highlighting the importance of considering platform limitations in low mRNA content cell recovery. In contrast, droplet-based scRNA-seq demonstrated superiority in terms of recovering cells of epithelial origin. Moreover, we discovered platform-dependent variabilities in mRNA quantification and cell-type marker annotation, affecting the composition of identified tissue profiles and the exploratory value of the generated datasets. Overall, our study emphasizes the importance of carefully selecting the appropriate scRNA-seq platform to improve cell type representation and obtain a more comprehensive and accurate understanding of the TME.

Datasets underlying the paper Zero-mode waveguide nanowells for single-molecule detection in living cells

Different datasets underlying the paper Zero-mode waveguide nanowells for single-molecule detection in living cells. The repository contains .zip archives, mostly containing a readme file with additional information. <pre>Cell imaging experiments.zip contains the raw image files acquired on arrays of version 1 or version 2 using a Nikon TI inverted microscope and used in figures 4-6. </pre> Gla_0127_14.zip contains SEM images of the fabrication of arrays of version 1 Gla_29_Pd_1.zip contains SEM images of the fabrication of arrays of version 2 SM experiments.zip contains the raw single-molecule fluorescence data acquired on an array of version 1 using a PicoQuant Microtime microscope together with the analysis files. FDTD simulations.zip contains the simulation files for the use in the software Lumerical

Imaging data from "Live-cell 3D single-molecule tracking reveals modulation of enhancer dynamics by NuRD"

3D 20ms, 3D 500ms and 2D dCas9 raw videos, localisation, tracking and trajectory analysis data From 'Live-cell 3D single-molecule tracking reveals modulation of enhancer dynamics by NuRD" (2021). Biorxiv. https://doi.org/10.1101/2020.04.03.003178

ProdgerLab-StarDist-HIV Target Cell Training Set

40 annotated immunofluorescence microscopy images (600 microns x 600 microns) of foreskin tissue stained for CD3/CD4/CCR5/Nuclei. These images were used to train StarDist models used for the identification of HIV Target Cells in foreskin tissue section scans.

Relapsed multiple myeloma demonstrates distinct patterns of immune microenvironment and malignant cell-mediated immunosuppression

<table> <tbody> <tr> <td>rowID</td> <td>filename</td> <td>date</td> <td>batch</td> <td>group</td> <td>ID</td> </tr> <tr> <td>1</td> <td>20200121_bm003696_RMM_tx_01.FCS</td> <td>20200121</td> <td>1</td> <td>RMM</td> <td>bm003696</td> </tr> <tr> <td>2</td> <td>20200121_bm054122_DRMM_tx_01.FCS</td> <td>20200121</td> <td>1</td> <td>DRMM</td> <td>bm054122</td> </tr> <tr> <td>3</td> <td>20200121_bm054496_RMM_tx_02.FCS</td> <td>20200121</td> <td>1</td> <td>RMM</td> <td>bm054496</td> </tr> <tr> <td>4</td> <td>20200121_bm059645_NDMM_tx_01.FCS</td> <td>20200121</td> <td>1</td> <td>NDMM</td> <td>bm059645</td> </tr> <tr> <td>5</td> <td>20200121_bm060791_NDMM_tx_01.FCS</td> <td>20200121</td> <td>1</td> <td>NDMM</td> <td>bm060791</td> </tr> <tr> <td>6</td> <td>20200121_bm064862_DRMM_tx_01.FCS</td> <td>20200121</td> <td>1</td> <td>DRMM</td> <td>bm064862</td> </tr> <tr> <td>7</td> <td>20200121_REF2_tx_01.FCS</td> <td>20200121</td> <td>1</td> <td>REF</td> <td>REF2</td> </tr> <tr> <td>8</td> <td>20200124_BM038232_RMM_TAX_01.FCS</td> <td>20200124</td> <td>2</td> <td>RMM</td> <td>BM038232</td> </tr> <tr> <td>9</td> <td>20200124_BM051757_NDMM_TAX_01.FCS</td> <td>20200124</td> <td>2</td> <td>NDMM</td> <td>BM051757</td> </tr> <tr> <td>10</td> <td>20200124_BM052673_DRMM_TAX_01.FCS</td> <td>20200124</td> <td>2</td> <td>DRMM</td> <td>BM052673</td> </tr> <tr> <td>11</td> <td>20200124_BM053393_NDMM_TAX_01.FCS</td> <td>20200124</td> <td>2</td> <td>NDMM</td> <td>BM053393</td> </tr> <tr> <td>12</td> <td>20200124_BM053570_RMM_TAX_01.FCS</td> <td>20200124</td> <td>2</td> <td>RMM</td> <td>BM053570</td> </tr> <tr> <td>13</td> <td>20200124_BM059775_DRMM_TAX_01.FCS</td> <td>20200124</td> <td>2</td> <td>DRMM</td> <td>BM059775</td> </tr> <tr> <td>14</td> <td>20200124_REF2_TAX_01.FCS</td> <td>20200124</td> <td>2</td> <td>REF</td> <td>REF2</td> </tr> <tr> <td>15</td> <td>20200128_3-1-BM060915-DRMM_TX_01.FCS</td> <td>20200128</td> <td>3</td> <td>DRMM</td> <td>BM060915</td> </tr> <tr> <td>16</td> <td>20200128_3-2-BM064896-DRMM_TX_01.FCS</td> <td>20200128</td> <td>3</td> <td>DRMM</td> <td>BM064896</td> </tr> <tr> <td>17</td> <td>20200128_3-3-BM059424-NDMM_TX_01.FCS</td> <td>20200128</td> <td>3</td> <td>NDMM</td> <td>BM059424</td> </tr> <tr> <td>18</td> <td>20200128_3-4-BM059429-NDMM_TX_02.FCS</td> <td>20200128</td> <td>3</td> <td>NDMM</td> <td>BM059429</td> </tr> <tr> <td>19</td> <td>20200128_3-5-BM043778-RMM_TX_01.FCS</td> <td>20200128</td> <td>3</td> <td>RMM</td> <td>BM043778</td> </tr> <tr> <td>20</td> <td>20200128_3-6-BM008007-RMM_TX_01.FCS</td> <td>20200128</td> <td>3</td> <td>RMM</td> <td>BM008007</td> </tr> <tr> <td>21</td> <td>20200129_3-7-ref2_tax_01.FCS</td> <td>20200129</td> <td>3</td> <td>REF</td> <td>REF2</td> </tr> <tr> <td>22</td> <td>20200204_5-1_BM054866-DRMM-Tx_01.FCS</td> <td>20200204</td> <td>5</td> <td>DRMM</td> <td>BM054866</td> </tr> <tr> <td>23</td> <td>20200204_5-2_BM065069-DRMM-Tx_01.FCS</td> <td>20200204</td> <td>5</td> <td>DRMM</td> <td>BM065069</td> </tr> <tr> <td>24</td> <td>20200204_5-3_BM035491-NDMM-Tx_01.FCS</td> <td>20200204</td> <td>5</td> <td>NDMM</td> <td>BM035491</td> </tr> <tr> <td>25</td> <td>20200204_5-4_BM0333015-NDMM-Tx_01.FCS</td> <td>20200204</td> <td>5</td> <td>NDMM</td> <td>BM0333015</td> </tr> <tr> <td>26</td> <td>20200204_5-5_BM0052990-RMM-Tx_01.FCS</td> <td>20200204</td> <td>5</td> <td>RMM</td> <td>BM0052990</td> </tr> <tr> <td>27</td> <td>20200204_5-5_BM0052990-RMM-Tx_02.FCS</td> <td>20200204</td> <td>5</td> <td>RMM</td> <td>BM0052990</td> </tr> <tr> <td>28</td> <td>20200204_5-5_BM052990-RMM-Tx_02.FCS</td> <td>20200204</td> <td>5</td> <td>RMM</td> <td>BM052990</td> </tr> <tr> <td>29</td> <td>20200204_5-6_BM052692-RMM-Tx_02.FCS</td> <td>20200204</td> <td>5</td> <td>RMM</td> <td>BM052692</td> </tr> <tr> <td>30</td> <td>20200204_5-7 -Ref2-Tx_01.FCS</td> <td>20200204</td> <td>5</td> <td>REF</td> <td>REF2</td> </tr> <tr> <td>31</td> <td>20200207_6-1_BM063515_DRMM_Tax_01.FCS</td> <td>20200207</td> <td>6</td> <td>DRMM</td> <td>BM063515</td> </tr> <tr> <td>32</td> <td>20200207_6-2_BM054226_DRMM_Tax_01.FCS</td> <td>20200207</td> <td>6</td> <td>DRMM</td> <td>BM054226</td> </tr> <tr> <td>33</td> <td>20200207_6-3_BM008346_NDMM_Tax_01.FCS</td> <td>20200207</td> <td>6</td> <td>NDMM</td> <td>BM008346</td> </tr> <tr> <td>34</td> <td>20200207_6-4_BM008718_NDMM_Tax_01.FCS</td> <td>20200207</td> <td>6</td> <td>NDMM</td> <td>BM008718</td> </tr> <tr> <td>35</td> <td>20200207_6-5_BM052764_RMM_Tax_01.FCS</td> <td>20200207</td> <td>6</td> <td>RMM</td> <td>BM052764</td> </tr> <tr> <td>36</td> <td>20200207_6-6_Ref2_Tax_01.FCS</td> <td>20200207</td> <td>6</td> <td>REF</td> <td>REF2</td> </tr> <tr> <td>37</td> <td>20200211_7-1_BM061912_DRMM_TAX_01.FCS</td> <td>20200211</td> <td>7</td> <td>DRMM</td> <td>BM061912</td> </tr> <tr> <td>38</td> <td>20200211_7-2_BM059328_DRMM_TAX_01.FCS</td> <td>20200211</td> <td>7</td> <td>DRMM</td> <td>BM059328</td> </tr> <tr> <td>39</td> <td>20200211_7-3_BM065082_DRMM_TAX_01.FCS</td> <td>20200211</td> <td>7</td> <td>DRMM</td> <td>BM065082</td> </tr> <tr> <td>40</td> <td>20200211_7-4_BM008353_DRMM_TAX_01.FCS</td> <td>20200211</td> <td>7</td> <td>DRMM</td> <td>BM008353</td> </tr> <tr> <td>41</td> <td>20200211_Ref2_Tax_02.FCS</td> <td>20200211</td> <td>7</td> <td>REF</td> <td>REF2</td> </tr> <tr> <td>42</td> <td>20200214_4-1_BM062618_DRMM_Tax_01.FCS</td> <td>20200214</td> <td>4</td> <td>DRMM</td> <td>BM062618</td> </tr> <tr> <td>43</td> <td>20200214_4-2_BM062255_DRMM_Tax_01.FCS</td> <td>20200214</td> <td>4</td> <td>DRMM</td> <td>BM062255</td> </tr> <tr> <td>44</td> <td>20200214_4-3_BM032596_NDMM_Tax_01.FCS</td> <td>20200214</td> <td>4</td> <td>NDMM</td> <td>BM032596</td> </tr> <tr> <td>45</td> <td>20200214_4-4_BM047845_NDMM_Tax_01.FCS</td> <td>20200214</td> <td>4</td> <td>NDMM</td> <td>BM047845</td> </tr> <tr> <td>46</td> <td>20200214_4-5_BM042666_RMM_Tax_01.FCS</td> <td>20200214</td> <td>4</td> <td>RMM</td> <td>BM042666</td> </tr> <tr> <td>47</td> <td>20200214_4-6_Ref2_Tax_01.FCS</td> <td>20200214</td> <td>4</td> <td>REF</td> <td>REF2</td> </tr> </tbody> </table>   *files with row ID #26 and #27 need to be concatenated since they represent the same sample acquired over 2 files

opencc-by-4.0Sep 2021View details →

[DATASET 8] - MICROBIAL FUEL CELLS (MFCS)

In the framework of GrowBot project, Task 7.1 aims to develop autonomous MFCs that can provide energy to the robot and, in addition, do not require continuous monitoring of the cell conditions. Bioo's objectives are: i) to have a cell that is easy to install, ii) that does not require of a continuous maintenance and iii) that is adaptable to non-wet lands. In order to achieve the objective described, different configurations for the MFC will be tested and adapted regarding to predominant plant species, soil pH, temperature, average humidity, organic matter and mineral salt composition. New electrode materials (combinations of polymers, metals, carbon) and surface treatments (i.e. doping with catalysts, new 2D materials, and functionalization with bacteria for on-demand activation) will be developed to improve their performance. Energy harvesting and storage will be established by considering low power harvesting technologies like tunnel FET and supercapacitors. DS8 aims at collecting all the experimental data gathered during these activities.

NewSOC, supplementary information to WT2.3 "Development of doped lanthanum chromite based fuel electrodes", WT2.5 "Electrochemical characterization of single cells"

These are experimental data related to CERTH participation in NewSOC project (874577) regarding WT2.3 “Development of doped lanthanum chromite based fuel electrodes”, WT2.5 “Electrochemical characterization of single cells”. The data set includes: <ul> <li>physicochemical characterization (ICP, BET, XRD and SEM) of the powders and electrodes or cells produced (SEM)</li> <li>electrochemical characterization (iV characteristics, impedance, stability tests)</li> </ul>   LSCrF0.1.rar: The zip folder contains data related to La0.75Sr0.25Cr0.9Fe0.1O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV, EIS and stability testing for button cells using different electrolyte substrates (formulation and thickness) and oxygen electrode materials operating under steam electrolysis, co-electrolysis of steam and carbon dioxide and reversible operation in steam or carbon dioxide cycle. LSCrF0.5.rar: The zip folder contains data related to La0.75Sr0.25Cr0.5Fe0.5O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.   LSCrNi0.1.rar: The zip folder contains data related to La0.75Sr0.25Cr0.9Ni0.1O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.  LSCrNi0.5.rar: The zip folder contains data related to La0.75Sr0.25Cr0.5Ni0.5O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, and (B) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. LSCrMn0.1.rar: The zip folder contains data related to La0.75Sr0.25Cr0.9Mn0.1O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.    LSCrF0.05Ti0.05.rar: The zip folder contains data related to La0.75Sr0.25Cr0.9Fe0.05Ti0.05O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide. LSCrF0.05V0.05.rar: The zip folder contains data related to La0.75Sr0.25Cr0.9Fe0.05V0.05O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide. LSCrF0.25Ti0.25.rar: The zip folder contains data related to La0.75Sr0.25Cr0.5Fe0.25Ti0.25O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM and (B) data set including iV and EIS for button cells operating under steam electrolysis, co-electrolysis of steam and carbon dioxide.  LSCrF0.25V0.25.rar: The zip folder contains data related to La0.75Sr0.25Cr0.5Fe0.25V0.25O3-δ material. (A) powder physicochemical characterization including ICP, BET, XRD and SEM, (B) SEM images of electrodes and cells and (C) data set including iV and EIS for button cells operating under steam electrolysis and co-electrolysis of steam and carbon dioxide. Ni-GDC.rar: The zip folder contains data related to button cell stability testing using a commercial Ni-GDC fuel electrode material operating under steam electrolysis.    LARGE CELLS.rar: Data set for large cells (5x5 cm2) including iV, EIS and short-term stability testing employing Keracell III cell, Ni-GDC and LSCrF0.1 fuel electrodes operating under steam electrolysis and co-electrolysis of steam and carbon dioxide.