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34 results for “conversation analysis”
Techno-economic sustainability analysis methodology for conversion routes of renewable feedstock resources to bio-based products – case studies
<p>The dataset provides a set of sustainability principles, criteria and indicators for the evaluation of the conversion routes stage of a bio-based product. The selected case studies on the employment of alternative feedstocks and production of the bio-based products are implemented in order to evaluate the proposed methodology. Mass and energy balances for all case studies, estimated techno-economic metrics, cost of externalities and risk assessment results are provided</p>
Data for Analysis for "A Framework for Adapting Conversational Intelligent Tutoring Systems to enable Collaborative Learning"
<p>This dataset includes, the data files for validating the statistical analysis from "A Framework for Adapting Conversational Intelligent Tutoring Systems to enable Collaborative Learning"</p> <p> </p> <p>The dataset is composed of 1500 files named following the pattern `Test-R-N-User-C-P.csv` where</p> <ul> <li>R is the n-th repetition. From 0 to 50</li> <li>N is the number of concurrent users. From 100 to 1000</li> <li>C is the treatment. chat for the framework version. chat-session for the legacy version.</li> <li>P is the problem number. 16 or 352.</li> </ul> <p>The data files corresponding to chat and problem 16 are those that in the paper are identified as Framework. The files por problem 352 are the collaborative version with students grouped.</p> <p>Each csv, is composed following the standard formate by Apache JMeter, and contains XX columns:</p> <ul> <li>timeStamp - UNIX timestamp of the request</li> <li>elapsed - Time taken to finish the request</li> <li>label - which step</li> <li>responseCode - HTTP response code</li> <li>responseMessage</li> <li>threadName</li> <li>dataType</li> <li>success - true|false</li> <li>failureMessage</li> <li>sentBytes</li> <li>grpThreads</li> <li>allThreads - Threads running</li> <li>URL - Endpoint URL</li> <li>Latency</li> <li>SampleCount</li> <li>ErrorCount - Cumulative amount of errors</li> <li>IdleTime </li> <li>Connect - Connection time</li> </ul> <p> </p>
Towards alternative solutions for flaring : life cycle assessment and carbon substance flow analysis of associated gas conversion into C3 chemicals
<p>Supplementary material and used data for the publication.</p>
Deliverable [D4.1] Techno-economic sustainability analysis methodology on resources for bio-based products, conversion routes and end-of-life alternative valorisation options
<p>Techno-economic sustainability analysis (TESA) is a methodology framework to evaluate the performance of a process under technical and economic perspective. A process can be divided into three main sections, the resources required for bio-based products, the conversion routes for the production and finally, the end-of-life alternative valorisation options. Consequently, TESA is carried out separately in the three sections and evaluates the likelihood of their different technology scales and applications and their economic feasibility.</p>
GRAND-SLAM analysis of simulated nucleotide conversion in Illumina TruSeq data sets for grandRescue
<p>These are processed data sets from the simulation of nucleotide conversions (T>C) in single-end and paired-end Illumina TruSeq reads for the purpose of investigating 4sU-induced mapping impairment by read lengths and library preparation methods and the potential of grandRescue to alleviate these effects.</p> <p>The original data set is from: Sarantopoulou, D. <em>et al. </em>(https://doi.org/10.1038/s41598-019-49889-1)</p> <p>GEO Accession:GSE124167 (samples: GSM3523316 - GSM3523318)</p> <p> </p> <p>The zip files contain the full output from the processing pipeline (including the mapped reads, the scripts to run the pipeline and the output) for single-end (R1) and paired-end before and after rescue. The *.tsv.gz files are the GRAND-SLAM output tables.</p> <p><br> To generate the GRAND-SLAM output yourself, first prepare the mouse genomes. Then run the following command with the respective cit-files, prefixes (*.cit) and genome:</p> <p>gedi -e Slam -trim5p 15 -reads *.cit -genomic m.ens102 -prefix grandslam_t15/* -plot -D -modelall</p> <p>To generate the cit file you have to modify the first lines in start.bash to match the paths on your file system, and then run it.</p> <p> </p> <p>Software versions:</p> <p> gedi toolkit 1.0.5<br> GRAND-SLAM 2.0.7<br> STAR version 2.7.10b</p>
GRAND-SLAM analysis of simulated nucleotide conversion in QuantSeq data sets for grandRescue
<p>These are processed data sets from the simulation of nucleotide conversions (T>C) in QuantSeq reads for the purpose of investigating 4sU-induced mapping impairment by read lengths and library preparation methods and the potential of grandRescue to alleviate these effects.</p> <p>The original data set is from: Lee, J. W. <em>et al. </em>(https://doi.org/10.1038/s41586-019-1004-y)</p> <p>GEO Accession: GSE109480 (Samples: GSM2944116 – GSM2944120)</p> <p> </p> <p>The zip files contain the full output from the processing pipeline (including the mapped reads, the scripts to run the pipeline and the output) before and after rescue. The *.tsv.gz files are the GRAND-SLAM output tables.</p> <p><br> To generate the GRAND-SLAM output yourself, first prepare the mouse genome. Then run the following command with the respective cit-files, prefixes (*.cit) and genome:</p> <p>gedi -e Slam -trim5p 15 -reads *.cit -genomic m.ens102 -prefix grandslam_t15/* -plot -D -modelall</p> <p>To generate the cit file you have to modify the first lines in start.bash to match the paths on your file system, and then run it.</p> <p> </p> <p>Software versions:</p> <p> gedi toolkit 1.0.5<br> GRAND-SLAM 2.0.7<br> STAR version 2.7.10b</p>
Data from: A pantropical analysis of the impacts of forest degradation and conversion on local temperature
Temperature is a core component of a species' fundamental niche. At the fine scale over which most organisms experience climate (mm to ha), temperature depends upon the amount of radiation reaching the Earth's surface, which is principally governed by vegetation. Tropical regions have undergone widespread and extreme changes to vegetation, particularly through the degradation and conversion of rainforests. Since most terrestrial biodiversity is in the tropics, and many of these species possess narrow thermal limits, it is important to identify local thermal impacts of rainforest degradation and conversion. We collected pan-tropical, site-level (< 1 ha) temperature data from the literature to quantify impacts of land-use change on local temperatures, and to examine whether this relationship differed above-ground relative to below-ground and between wet and dry seasons. We found that local temperature in our sample sites was higher than primary forest in all human-impacted land-use types (N = 113,894 day-time temperature measurements from 25 studies). Warming was pronounced following conversion of forest to agricultural land (minimum +1.6°C, maximum +13.6°C), but minimal and non-significant when compared to forest degradation (e.g. by selective logging; minimum +1°C, maximum +1.1°C). The effect was buffered below-ground (minimum buffering 0°C, maximum buffering 11.4°C), whereas seasonality had minimal impact (maximum buffering 1.9°C). We conclude that forest-dependent species that persist following conversion of rainforest have experienced substantial local warming. Deforestation pushes these species closer to their thermal limits, making it more likely that compounding effects of future perturbations, such as severe droughts and global warming, will exceed species' tolerances. By contrast, degraded forests and below-ground habitats may provide important refugia for thermally-restricted species in landscapes dominated by agricultural land.
Final geometries and energies, statistical analysis and estimated errors of single metals and bimetallics for CO2 to methanol conversion
<p>The dataset accommodate all the extra data discussed in:<br>Pisal, P., Krejčí, O. & Rinke, P. Machine learning accelerated descriptor design for catalyst discovery in CO<sub>2</sub> to methanol conversion. <em>npj Comput Mater</em> <strong>11</strong>, 213 (2025). https://doi.org/10.1038/s41524-025-01664-9 </p> <p>The datased contains four types of data:</p> <ol> <li>All the final geometries and energies of adsorbated (*H, *O, *OCHO & *OCH3) and all the 158 single metals and bimetallic alloys on all the surfaces with Miller indices in {-2, -1, ... 2} optimized with Open Catalyst Project (OCP) 20 <em>equiformer_V2</em> machine-learned force-field model. These are in the <a href="https://zenodo.org/api/records/15587232/draft/files/geometries_and_energies.zip/content" target="_blank" rel="noopener noreferrer">geometries_and_energies.zip</a> file organized by the metal/alloys name, with the final geometries and enerigies in a json file, using a json ASE format.</li> <li>All the estimated mean absolute errors (MAE) of predicted adsorption energies for all the considered metals and bimetallic alloys in <a href="https://zenodo.org/api/records/15587232/draft/files/Estimated_MAEs_metals_bimetallics.csv/content" target="_blank" rel="noopener noreferrer">Estimated_MAEs_metals_bimetallics.csv</a> and xlsx file. The data content is identical, files differs only by a format.</li> <li>All the adsorption energy disctibutions (AEDs) for all the 158 metals/alloys and adsorbates in <span><a href="https://zenodo.org/api/records/15587232/draft/files/AEDs_metals_bimetallics.csv/content" target="_blank" rel="noopener noreferrer">AEDs_metals_bimetallics.csv</a></span> and xlsx files. The data content is identical, files differs only by a format.</li> <li>All the statistical information of the adsorption energies for all the 158 metals/alloys and adsorbates in <span><a href="https://zenodo.org/api/records/15587232/draft/files/Statistics_AEDs_metals_bimetallics.csv/content" target="_blank" rel="noopener noreferrer">Statistics_AEDs_metals_bimetallics.csv</a></span> and xlsx files. The data content is identical, files differs only by a format.</li> </ol>
R notebooks to reproduce all analyses from the manuscript "grandR: a comprehensive package for nucleotide conversion sequencing data analysis"
<p>This package contains all R notebooks to reproduce the analyses from our manuscript "grandR: a comprehensive package for nucleotide conversion sequencing data analysis".</p> <p>In the zip file you find</p> <ul> <li>several rds files in the data folder: They contain grandR objects of both simulated and real SLAM-seq data sets. You can delete them and create them again by either just "knitting" the notebooks (which will generate all data necessary for this notebook and save it into the data folder), or by executing the generateAllDataFiles.R script ("Rscript generateAllDataFiles.R"), which will generate all rds files that do not exist).</li> <li>several R notebooks (Rmd): "Knitting" them will generate all figures from the manuscript. Without the data files (rds), this will be slow!</li> <li>knit_all.bash: Execute to "knit" all notebooks</li> <li>clean.bash: Clear the output of "knitting" the notebooks</li> </ul> <p> </p>
Sensitivity analysis: ongoing and historical conversion therapy practices (CTPs) in Canada
<p>Sensitivity analysis: ongoing and historical conversion therapy practices (CTPs) in Canada</p>
Data from: A pantropical analysis of the impacts of forest degradation and conversion on local temperature
Open the record for dataset details and reuse information.
High-resolution transcriptional analysis reveals stepwise fate conversion of supporting cells to hair cells in the chicken auditory epithelium
GEO Series GSE209791. Gallus gallus. 2400 samples. Type: Expression profiling by high throughput sequencing.
DNA methylation and hydroxymethylation assessment through Illumina EPIC array analysis of paired bisulfite and oxidative-bisulfite conversion
GEO Series GSE144129. Homo sapiens. 454 samples. Type: Methylation profiling by genome tiling array.
RNA-seq analysis of gene expression in cells during Ascl1 mediated astrocyte-to-neuron conversion.
GEO Series GSE132674. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Compact transcription factor cassettes generate functional, engraftable motor neurons by direct conversion [re-analysis]
GEO Series GSE287882. Mus musculus. 0 samples. Type: Expression profiling by high throughput sequencing.
Single-cell analysis reveals fibroblast heterogeneity and myofibroblast conversion in ligamentum flavum hypertrophy
GEO Series GSE267819. Homo sapiens. 3 samples. Type: Expression profiling by high throughput sequencing.
Single-cell transcriptomic analysis of embryonic vasculogenesis identifies the conversion of Etv2-deficient vascular progenitors into skeletal muscle
GEO Series GSE142484. Danio rerio. 2 samples. Type: Expression profiling by high throughput sequencing.
DNA methylation and hydroxymethylation assessment through 450K analysis of paired bisulfite and oxidative-bisulfite conversion.
GEO Series GSE71719. Homo sapiens. 46 samples. Type: Methylation profiling by genome tiling array.
Transcriptomic and epigenomic analysis during conversion from mouse microglia into induced-neuronal (iN) cells
GEO Series GSE104435. Mus musculus. 27 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing; Methylation profiling by high throughput sequencing.
Transcriptome analysis of neuronal-like cells conversed from U251 cells incubated with SLCDS
GEO Series GSE262741. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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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.