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Yongning Na for Natural Language Processing: a single-speaker audio corpus with transcriptions
<p><em>(français ci-dessous)</em></p> <p>This archive contains a dataset (audio files and transcriptions) of a minority language, Yongning Na (Glottocode: yong1288; closest iso 639-3 code: nru). The archive contains a subset of the Na corpus of the Pangloss Collection: it is a single-speaker corpus, consisting of all the audio resources transcribed, for the main speaker of this corpus (Ms. LATAMI Dashilame).<br> The corpus is versioned, so that the experiments carried out on these resources (for linguistic research or for Natural Language Processing) are fully reproducible. All relevant information is contained in YAML files (.yml extension; one in French, one in English).<br> The data sub-folder contains the converted and demultiplexed audio files, as well as the annotations associated with each channel of the audio files.<br> The summary files contain, among other things, the list of graphemes used in the language (complex graphemes are particularly important), as well as information on the various resources (audio and annotations), such as their identifiers (DOIs) and links to the original files.<br> From a computational point of view, the list of DOIs of the audios and annotations described in this YAML file is sufficient to generate this corpus at a given time. A corpus like the present one can be viewed as the version, at a given time, of a set of documents in the Pangloss collection: a corpus as it stands at a precise version.</p> <p>Further information is available from <a href="https://gitlab.com/lacito/outilspangloss">https://gitlab.com/lacito/outilspangloss</a></p> <p>---------------</p> <p>Cette archive contient un jeu de données (audios et transcriptions) d’une langue à tradition orale, le na de Yongning (Glottocode: yong1288; code iso 639-3 le plus proche : nru). L’archive contient un sous-ensemble du corpus na de la collection Pangloss : c’est un corpus monolocuteur, constitué de l’intégralité des ressources audio transcrites pour la locutrice principale de ce corpus (Mme LATAMI Dashilame).<br> Le corpus est versionné, de sorte que les expériences menées sur ces ressources (pour la linguistique ou pour le Traitement automatique des langues) soient reproductibles de façon exacte (en pensant bien à joindre l’algorithme : paramètres, répartitions des fichiers dans les différents ensembles, etc.). Toutes les informations pertinentes se trouvent dans les fichiers YAML (extension .yml ; un en français, un autre en anglais).<br> Le sous-dossier des données contient d’une part les audios convertis et démultiplexés et d’autre part les annotations associées à chaque canal desdits audios.<br> Les fichiers récapitulatifs contiennent notamment la liste des graphèmes utilisés dans cette langue (les graphèmes complexes sont particulièrement importants), ainsi que des informations sur les différentes ressources (audios et annotations), comme les identifiants (DOI), les liens vers les fichiers originaux, etc.<br> Au plan informatique, la liste des identifiants DOI des audios et annotations décrits dans ce fichier YAML suffit pour générer ce corpus à un instant t. Un corpus comme celui-ci peut être vu comme la version à l’instant t d’un ensemble de documents de la collection Pangloss : un corpus arrêté à une version précise.<br> Pour plus de précisions : <a href="https://gitlab.com/lacito/outilspangloss">https://gitlab.com/lacito/outilspangloss</a></p>
Pre-processed IgH receptor repertoire data from MS patients after aHSCT from BioProject PRJNA763367
<p><strong>Data Processing</strong></p> <p>Samples were demultiplexed via their Illumina indices, and processed using the Immcantation toolkit(1,2). Raw fastq files were filtered based on a quality score threshold of 20. Paired reads were joined if they had a minimum length of 10 nt, maximum error rate of 0.3 and a significance threshold of 0.0001. Reads with identical UMI were collapsed to a consensus sequence. Reads with identical full-length sequence and identical constant primer but differing UMI were further collapsed. Sequences were then submitted to IgBlast (3) for VDJ assignment and sequence annotation. Constant region sequences were mapped to germline using Stampy(4). The number and type of V gene mutations was calculated using the shazam R package.(2)</p> <p> </p> <p><strong>software_versions</strong> pRESTO:0.5.3,Change-O:0.3.4,IgBlast 1.6.1, stampy1.0.21. shazam0.1.8</p> <p><strong>quality_thresholds</strong> FilterSeq.py pRESTO Q>20</p> <p><strong>paired_reads_assembly</strong> AssemblePairs.py pRESTO minlen 10 maxerror 0.3 alpha 0.0001</p> <p><strong>primer_match_cutoffs</strong> MaskPrimers.py pRESTO C primer & V primer maxerror 0.2</p> <p><strong>consensus_building</strong> BuildConsensus.py pRESTO maxerror 0.1 maxgap 0.5</p> <p><strong>collapsing_method</strong> CollapseSeq.py pRESTO</p> <p><strong>germline_database </strong>IMGT</p> <p> </p> <p><strong>Format</strong></p> <p>Processed sequences are provided in a tab delimited file format, including the following annotations:</p> <p> </p> <p><strong>ISOTYPE_SUBCLASS </strong>Isotype subclass</p> <p><strong>SEQUENCE_ID </strong>Sequence identifier</p> <p><strong>JUNCTION_LENGTH </strong>Junction length</p> <p><strong>CONSCOUNT </strong>Raw read count from which UMI consensus sequences were generated, summed over all UMIs for the given unique sequence.</p> <p><strong>DUPCOUNT </strong>UMI count for the given unique sequence</p> <p><strong>ISOTYPE </strong>Constant region primer (isotype)</p> <p><strong>MUT_TOTAL </strong>Total number of mutations in V gene </p> <p><strong>SAMPLE </strong>Sample identifier, linking back to raw data</p> <p><strong>JUNCTION </strong>Junction nucleotide sequence</p> <p><strong>Protein_seq </strong>Amino acid sequence</p> <p><strong>CDR3_AA_GRAVY </strong>CDR3 hydrophobicity index</p> <p><strong>CDR3_AA_BULK </strong>CDR3 bulkiness</p> <p><strong>CDR3_AA_ALIPHATIC </strong>CDR3 aliphatic index</p> <p><strong>CDR3_AA_POLARITY </strong>CDR3 polarity</p> <p><strong>CDR3_AA_CHARGE </strong>CDR3 normalized net charge</p> <p><strong>CDR3_AA_BASIC </strong>CDR3 basic side chain residue content</p> <p><strong>CDR3_AA_ACIDIC </strong>CDR3 acidic side chain residue content</p> <p><strong>CDR3_AA_AROMATIC </strong>CDR3 aromatic side chain content</p> <p><strong>Subset </strong>Defined B cell subset </p> <p><strong>Repertoire </strong>Defined B cell repertoire (Naive, Memory IgM/IgD, IgA, IgG)</p> <p><strong>R_SCDR </strong>R/S ratio in CDR region</p> <p><strong>R_SFWR </strong>R/S ratio in FWR region</p> <p><strong>V_GENE </strong>V segment gene</p> <p><strong>D_GENE </strong>D segment gene</p> <p><strong>J_GENE </strong>J segment gene</p> <p><strong>V_FAM </strong>V family gene</p> <p><strong>Clust_REPRES </strong>Cluster representative</p> <p><strong>Clust_SIZE </strong>Cluster size</p> <p><strong>Sex </strong>Sex of the Subject</p> <p><strong>UNIQUE_ID </strong>Sample identifier </p> <p><strong>Bcellno </strong>Input B cell number</p> <p><strong>Days_posttx </strong>Sampling time point relative to transplantation</p> <p><strong>Age_at_tx </strong>Age of the subject (at aHSCT)</p> <p><strong>Disease </strong>MS subtype</p> <p><strong>Last_therapy </strong>Last therapy prior to aHSCT</p> <p><strong>Disease_duration </strong>Disease duration</p> <p><strong>CMV_reactivation </strong>Cytomegalovirus reactivation</p> <p><strong>Month_label </strong>Month post-aHSCT inverval bin</p> <p><strong>Patient_label </strong>Subject identifier</p> <pre> </pre> <p><strong>References</strong></p> <p>1. Vander Heiden, J. A., G. Yaari, M. Uduman, J. N. H. Stern, K. C. O’Connor, D. A. Hafler, F. Vigneault, and S. H. Kleinstein. 2014. PRESTO: A toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. <em>Bioinformatics</em>30: 1930–1932.</p> <p>2. Gupta, N. T., J. A. Vander Heiden, M. Uduman, D. Gadala-Maria, G. Yaari, and S. H. Kleinstein. 2015. Change-O: A toolkit for analyzing large-scale B cell immunoglobulin repertoire sequencing data. <em>Bioinformatics</em>31: 3356–3358.</p> <p>3. Ye, J., N. Ma, T. L. Madden, and J. M. Ostell. 2013. IgBLAST: an immunoglobulin variable domain sequence analysis tool. <em>Nucleic Acids Res.</em>41.</p> <p>4. Lunter, G., and M. Goodson. 2011. Stampy: A statistical algorithm for sensitive and fast mapping of Illumina sequence reads. <em>Genome Res.</em>21: 936–939.</p>
Processed data from Repair-seq screens of double-strand breaks
<p>Processed data from Repair-seq screens of double-strand breaks induced by SpCas9 and AsCas12a in the presence or absence of oligonucleotide homology donors.</p>
Scripts for post-processing Delft3d output data and figures for manuscript 'Longitudinal scour-bar pattern in estuaries'
<p>The 7z file contains two folders, one named 'mat' contains the matlab scripts for post-processing Delft3D output data and plotting, the other named 'Figures' contains main outputs for the manuscript 'Longitudinal scour-bar pattern in estuaries'. </p>
Processing of Legume Products to new Foods
<p>The aim of the work is to develop and produce new foods from various legume processing products. Knowledge of the raw material properties (like water absorption, acidity and aggregation properties) of legume products is very important for product development. It was tried to find connections between raw material parameters and quality of the developed products.<br> Therefore, different technologies were used. The first orienting tests showed that extrusion is the most suitable technology for product development. Due to the dominance of the protein components, experiments were carried out during development in which the pH value was shifted to the alkaline range. Roasting was also tested. A flour was produced from roasted peas, but it did not have good processing properties.<br> These products should have good chances for marketing with regard to their properties. Therefore, properties should be achieved which represent unique selling points for these products. Essential characteristics are that these products are vegetarian or vegan, free of gluten, GMO and allergens. A further goal is a high protein content of the food, which offers the possibility to market these products as meat analogues. Since 2017, the work has been carried out in the pilot plants of IGV GmbH. The first products have been prototyped with pea products (green peas, yellow peas) and lentils. Flours of peeled peas, pea protein concentrates and pea protein isolates have been processed into directly expanded or gelatinised products by means of various types of extrusion, in particular by twin screw extrusion. Expanded products are produced by hot extrusion. They can be used as ready to eat snacks or form the basis for further developments. Gelatinated extrudates are extruded using a gentle process and are semi-finished products, that can be further processed by flocculation or deep-frying. <br> A product family based on pea protein is currently completed. These basic products can be used in various applications. The work will be continued with other legume products (Fava beans, Lentils).</p>
'Signal integrity' in the Audiovisual Media Services Directive: Process, positions and policies examined and explained
<p>Tables 1 & 2 can be used as complementary material for readers of the forthcoming article (2021) in the Journal of Digital Media & Policy entitled <em>‘Signal integrity’ in the Audiovisual Media Services Directive: Process, positions and policies examined and explained.</em> Table 1 looks at the Mapping of modifications, processes and cases referred to by Article 7b and Recital 26 exemptions, while Table 2 presents the stakeholders' argumentation relating to signal integrity based on economic and cultural positions, and the scope of the measure. For the online version of the article, these tables are referred to in-text in the shape of hyperlinks and full links in the printed version.</p> <p>The article aims to get a broad picture of current practices, positions and policy on signal integrity. Based on the findings, this article proposes a clear framework for the implementation of Article 7b. It identifies the key considerations made in relation to exemptions and consent and reveals the positions of the key stakeholders and the vacuum that is exists at the level of MS regulation. Therefore, the concept of ‘signal integrity’ and the legal protections it sets on broadcasters’ signal will be explored.</p>
Data from: Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches. Part II: adjoint frequency response analysis, stochastic models, and synthesis
<p>Meta data updated after publication.</p> <p> </p>
Data from: Process-based modelling of nonharmonic internal tides using adjoint, statistical, and stochastic approaches. Part I: statistical model and analysis of observational data
<p>Meta data updated after publication.</p> <p> </p>
Hydrogen production in microchannel reactors by process intensification
<p><strong>Hydrogen production in microchannel reactors by process intensification</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>In reactions under normal laboratory conditions, matter is neither created nor destroyed, and elements are not transformed into other elements. Therefore, equations depicting reactions must be balanced; that is, the same number of atoms of each kind must appear on opposite sides of the equation. The balanced equation for the iron-sulfur reaction shows that one iron atom can react with one sulfur atom to give one formula unit of iron sulfide. Chemists ordinarily work with weighable quantities of elements and compounds. For example, in the iron-sulfur equation the symbol Fe represents 55.845 grams of iron, S represents 32.066 grams of sulfur, and FeS represents 87.911 grams of iron sulfide. Because matter is not created or destroyed in a chemical reaction, the total mass of reactants is the same as the total mass of products. If some other amount of iron is used, say, one-tenth as much (5.585 grams), only one-tenth as much sulfur can be consumed (3.207 grams), and only one-tenth as much iron sulfide is produced (8.791 grams). If 32.066 grams of sulfur were initially present with 5.585 grams of iron, then 28.859 grams of sulfur would be left over when the reaction was complete. The ratio of reactants and products in a chemical reaction is called chemical stoichiometry. Stoichiometry depends on the fact that matter is conserved in chemical processes, and calculations giving mass relationships are based on the concept of the mole. One mole of any element or compound contains the same number of atoms or molecules, respectively, as one mole of any other element or compound. Energy plays a key role in chemical processes. According to the modern view of chemical reactions, bonds between atoms in the reactants must be broken, and the atoms or pieces of molecules are reassembled into products by forming new bonds. Energy is absorbed to break bonds, and energy is evolved as bonds are made. In some reactions the energy required to break bonds is larger than the energy evolved on making new bonds, and the net result is the absorption of energy. Such a reaction is said to be endothermic if the energy is in the form of heat. The opposite of endothermic is exothermic; in an exothermic reaction, energy as heat is evolved. The more general terms exoergic (energy evolved) and endoergic (energy required) are used when forms of energy other than heat are involved. A great many common reactions are exothermic. The formation of compounds from the constituent elements is almost always exothermic. Formation of water from molecular hydrogen and oxygen and the formation of a metal oxide such as calcium oxide from calcium metal and oxygen gas are examples. Among widely recognizable exothermic reactions is the combustion of fuels. Not all reactions are exothermic (or exoergic). A few compounds, such as nitric oxide and hydrazine, require energy input when they are formed from the elements. The decomposition of limestone to make lime is also an endothermic process; it is necessary to heat limestone to a high temperature for this reaction to occur. The decomposition of water into its elements by the process of electrolysis is another endoergic process. Electrical energy is used rather than heat energy to carry out this reaction. Generally, evolution of heat in a reaction favours the conversion of reactants to products. However, entropy is important in determining the favourability of a reaction. Entropy is a measure of the number of ways in which energy can be distributed in any system. Entropy accounts for the fact that not all energy available in a process can be manipulated to do work. A chemical reaction will favour the formation of products if the sum of the changes in entropy for the reaction system and its surroundings is positive. An example is burning methane. Methane has a low entropy. When methane burns, it produces ash as well as the high-entropy substances carbon dioxide gas and water vapour. The entropy of the reacting system increases during combustion. Just as important, the heat energy transferred by the combustion to its surroundings increases the entropy in the surroundings. The total of entropy changes for the substances in the reaction and the surroundings is positive, and the reaction is product-favoured.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 14.1419</p> <p>0.00025 14.1567</p> <p>0.0005 14.1167</p> <p>0.00075 13.9733</p> <p>0.001 13.7817</p> <p>0.00125 13.5773</p> <p>0.0015 13.3834</p> <p>0.00175 13.2078</p> <p>0.002 13.0467</p> <p>0.00225 12.8884</p> <p>0.0025 12.7233</p> <p>0.00275 12.549</p> <p>0.003 12.3695</p> <p>0.00325 12.193</p> <p>0.0035 12.0273</p> <p>0.00375 11.8751</p> <p>0.004 11.7343</p> <p>0.00425 11.5992</p> <p>0.0045 11.4645</p> <p>0.00475 11.3284</p> <p>0.005 11.1919</p> <p>0.00525 11.0595</p> <p>0.0055 10.9352</p> <p>0.00575 10.8199</p> <p>0.006 10.7123</p> <p>0.00625 10.6092</p> <p>0.0065 10.5073</p> <p>0.00675 10.4052</p> <p>0.007 10.3035</p> <p>0.00725 10.2049</p> <p>0.0075 10.1114</p> <p>0.00775 10.0239</p> <p>0.008 9.94127</p> <p>0.00825 9.86107</p> <p>0.0085 9.78104</p> <p>0.00875 9.70044</p> <p>0.009 9.61993</p> <p>0.00925 9.54112</p> <p>0.0095 9.46564</p> <p>0.00975 9.39386</p> <p>0.01 9.32487</p> <p>0.01025 9.25686</p> <p>0.0105 9.1882</p> <p>0.01075 9.11849</p> <p>0.011 9.04832</p> <p>0.01125 8.97901</p> <p>0.0115 8.91153</p> <p>0.01175 8.84618</p> <p>0.012 8.78242</p> <p>0.01225 8.71871</p> <p>0.0125 8.65378</p> <p>0.01275 8.58747</p> <p>0.013 8.5204</p> <p>0.01325 8.45357</p> <p>0.0135 8.38782</p> <p>0.01375 8.3233</p> <p>0.014 8.25958</p> <p>0.01425 8.19529</p> <p>0.0145 8.12949</p> <p>0.01475 8.06216</p> <p>0.015 7.99387</p> <p>0.01525 7.92554</p> <p>0.0155 7.8578</p> <p>0.01575 7.79065</p> <p>0.016 7.72352</p> <p>0.01625 7.65551</p> <p>0.0165 7.58549</p> <p>0.01675 7.51373</p> <p>0.017 7.44118</p> <p>0.01725 7.36834</p> <p>0.0175 7.29539</p> <p>0.01775 7.22242</p> <p>0.018 7.1493</p> <p>0.01825 7.07505</p> <p>0.0185 6.999</p> <p>0.01875 6.92134</p> <p>0.019 6.84253</p> <p>0.01925 6.76289</p> <p>0.0195 6.683</p> <p>0.01975 6.60311</p> <p>0.02 6.5227</p> <p>0.02025 6.44094</p> <p>0.0205 6.35734</p> <p>0.02075 6.27217</p> <p>0.021 6.18588</p> <p>0.02125 6.09878</p> <p>0.0215 6.01121</p> <p>0.02175 5.92324</p> <p>0.022 5.8344</p> <p>0.02225 5.74426</p> <p>0.0225 5.65277</p> <p>0.02275 5.56008</p> <p>0.023 5.4663</p> <p>0.02325 5.37179</p> <p>0.0235 5.27682</p> <p>0.02375 5.18138</p> <p>0.024 5.08523</p> <p>0.02425 4.988</p> <p>0.0245 4.88969</p> <p>0.02475 4.79046</p> <p>0.025 4.69054</p> <p>0.02525 4.59019</p> <p>0.0255 4.48973</p> <p>0.02575 4.38924</p> <p>0.026 4.28848</p> <p>0.02625 4.18738</p> <p>0.0265 4.08615</p> <p>0.02675 3.98492</p> <p>0.027 3.88396</p> <p>0.02725 3.78374</p> <p>0.0275 3.68429</p> <p>0.02775 3.58597</p> <p>0.028 3.48836</p> <p>0.02825 3.38251</p> <p>0.0285 3.28598</p> <p>0.02875 3.18522</p> <p>0.029 3.08588</p> <p>0.02925 2.98803</p> <p>0.0295 2.89361</p> <p>0.02975 2.794388</p> <p>0.03 2.694288</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Catalytic reaction processes using microchannel technology for hydrogen production by steam reforming
<p><strong>Catalytic reaction processes using microchannel technology for hydrogen production by steam reforming</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>Two competing proposals have been made concerning the mechanism of catalytic reactions at surfaces, and it has not been possible to choose between them. Originally, Irving Langmuir, an American physical chemist, proposed chemisorption of both reacting species at the surface, followed by interaction between adjacent species and evaporation of the products. An alternative proposal involves interaction between an impinging molecule and species already adsorbed on the surface. Subsequent developments have suggested various modes of attachment of the adsorbed and adsorbing species. A major advance in the science of surface catalysis was the development of a method for determining the surface area of catalysts (and other materials) by measuring the multimolecular adsorption of nitrogen at liquid nitrogen temperatures or the adsorption of other gases close to their boiling points. It then became possible to calculate a quantity that represents the volume of gas necessary to form a monolayer on the accessible surface; furthermore, the area of the surface can be determined from the known dimensions of the adsorbed molecules. It has also been found possible to titrate (measure quantitatively) the area of surfaces by chemisorption of gases. Since heterogeneously catalyzed reactions occur on the surface of the catalyst, the rates of such reactions are proportional to the accessible surface area of the catalyst. Active catalysts are thus usually highly porous solids with total surface areas as high as several hundred square metres per gram. When measurements of surface areas became possible, it was seen at once that many constituents present in minor quantities in the main catalyst material, known as promoters, could act by extending the effective surface area of the catalyst. It also was shown, however, that a promoter might produce an increase in the quality of the surface for the given reaction. Acting in a reverse direction are minor constituents of the reacting system or unwanted products of the reaction, which by preferential adsorption on the reaction sites. Poisoning of a catalyst may also result from the poison adversely modifying the electronic properties of the catalyst.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 12.5259</p> <p>0.00025 12.5249</p> <p>0.0005 12.4628</p> <p>0.00075 12.2996</p> <p>0.001 12.0712</p> <p>0.00125 11.8221</p> <p>0.0015 11.596</p> <p>0.00175 11.4118</p> <p>0.002 11.2616</p> <p>0.00225 11.1177</p> <p>0.0025 10.9536</p> <p>0.00275 10.759</p> <p>0.003 10.5398</p> <p>0.00325 10.3175</p> <p>0.0035 10.1169</p> <p>0.00375 9.94876</p> <p>0.004 9.80787</p> <p>0.00425 9.67857</p> <p>0.0045 9.54646</p> <p>0.00475 9.40536</p> <p>0.005 9.25748</p> <p>0.00525 9.11421</p> <p>0.0055 8.98858</p> <p>0.00575 8.88572</p> <p>0.006 8.80178</p> <p>0.00625 8.72615</p> <p>0.0065 8.64819</p> <p>0.00675 8.5635</p> <p>0.007 8.47426</p> <p>0.00725 8.38872</p> <p>0.0075 8.31553</p> <p>0.00775 8.2578</p> <p>0.008 8.21239</p> <p>0.00825 8.17077</p> <p>0.0085 8.1251</p> <p>0.00875 8.07247</p> <p>0.009 8.01529</p> <p>0.00925 7.9603</p> <p>0.0095 7.91452</p> <p>0.00975 7.88049</p> <p>0.01 7.85474</p> <p>0.01025 7.83035</p> <p>0.0105 7.80092</p> <p>0.01075 7.76453</p> <p>0.011 7.72333</p> <p>0.01125 7.68313</p> <p>0.0115 7.65017</p> <p>0.01175 7.62633</p> <p>0.012 7.60882</p> <p>0.01225 7.59146</p> <p>0.0125 7.5688</p> <p>0.01275 7.53904</p> <p>0.013 7.50421</p> <p>0.01325 7.4698</p> <p>0.0135 7.4414</p> <p>0.01375 7.42087</p> <p>0.014 7.40548</p> <p>0.01425 7.38911</p> <p>0.0145 7.36723</p> <p>0.01475 7.33882</p> <p>0.015 7.30582</p> <p>0.01525 7.27313</p> <p>0.0155 7.24519</p> <p>0.01575 7.22352</p> <p>0.016 7.20619</p> <p>0.01625 7.18805</p> <p>0.0165 7.16393</p> <p>0.01675 7.13321</p> <p>0.017 7.09884</p> <p>0.01725 7.06502</p> <p>0.0175 7.03546</p> <p>0.01775 7.01145</p> <p>0.018 6.99108</p> <p>0.01825 6.96922</p> <p>0.0185 6.94195</p> <p>0.01875 6.90861</p> <p>0.019 6.8712</p> <p>0.01925 6.83338</p> <p>0.0195 6.79882</p> <p>0.01975 6.76887</p> <p>0.02 6.74161</p> <p>0.02025 6.71249</p> <p>0.0205 6.67791</p> <p>0.02075 6.63756</p> <p>0.021 6.59338</p> <p>0.02125 6.54862</p> <p>0.0215 6.50642</p> <p>0.02175 6.46809</p> <p>0.022 6.43121</p> <p>0.02225 6.39171</p> <p>0.0225 6.34695</p> <p>0.02275 6.29666</p> <p>0.023 6.24214</p> <p>0.02325 6.18634</p> <p>0.0235 6.13241</p> <p>0.02375 6.0807</p> <p>0.024 6.02879</p> <p>0.02425 5.9737</p> <p>0.0245 5.9136</p> <p>0.02475 5.84831</p> <p>0.025 5.779</p> <p>0.02525 5.70789</p> <p>0.0255 5.63732</p> <p>0.02575 5.56765</p> <p>0.026 5.49729</p> <p>0.02625 5.42368</p> <p>0.0265 5.34518</p> <p>0.02675 5.26167</p> <p>0.027 5.17445</p> <p>0.02725 5.08554</p> <p>0.0275 4.99626</p> <p>0.02775 4.90677</p> <p>0.028 4.81571</p> <p>0.02825 4.7225</p> <p>0.0285 4.62433</p> <p>0.02875 4.52329</p> <p>0.029 4.40952</p> <p>0.02925 4.30083</p> <p>0.0295 4.20122</p> <p>0.02975 4.10465</p> <p>0.03 4.05785</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Endothermic processes for producing hydrogen using autothermal microchannel reactor technology by steam reforming
<p><strong>Endothermic processes for producing hydrogen using autothermal microchannel reactor technology by steam reforming</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>A chemical reaction is a process in which one or more substances, the reactants, are converted to one or more different substances, the products. Substances are either chemical elements or compounds. A chemical reaction rearranges the constituent atoms of the reactants to create different substances as products. Chemical reactions must be distinguished from physical changes. Physical changes include changes of state, such as ice melting to water and water evaporating to vapour. If a physical change occurs, the physical properties of a substance will change, but its chemical identity will remain the same. No matter what its physical state, water is the same compound, with each molecule composed of two atoms of hydrogen and one atom of oxygen. However, if water, as ice, liquid, or vapour, encounters sodium metal, the atoms will be redistributed to give the new substances molecular hydrogen and sodium hydroxide. By this, a chemical change or reaction has occurred. When making a new substance from other substances, chemists say either that they carry out a synthesis or that they synthesize the new material. Reactants are converted to products, and the process is symbolized by a chemical equation. For example, iron and sulfur combine to form iron sulfide.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 13.8238</p> <p>0.00025 13.829</p> <p>0.0005 13.7686</p> <p>0.00075 13.5966</p> <p>0.001 13.3629</p> <p>0.00125 13.1109</p> <p>0.0015 12.8776</p> <p>0.00175 12.6771</p> <p>0.002 12.5024</p> <p>0.00225 12.3324</p> <p>0.0025 12.148</p> <p>0.00275 11.9429</p> <p>0.003 11.7223</p> <p>0.00325 11.5024</p> <p>0.0035 11.3004</p> <p>0.00375 11.1228</p> <p>0.004 10.9663</p> <p>0.00425 10.8201</p> <p>0.0045 10.6735</p> <p>0.00475 10.5217</p> <p>0.005 10.3666</p> <p>0.00525 10.2161</p> <p>0.0055 10.079</p> <p>0.00575 9.9589</p> <p>0.006 9.85332</p> <p>0.00625 9.75492</p> <p>0.0065 9.65697</p> <p>0.00675 9.55649</p> <p>0.007 9.45433</p> <p>0.00725 9.35567</p> <p>0.0075 9.26616</p> <p>0.00775 9.18776</p> <p>0.008 9.11867</p> <p>0.00825 9.0535</p> <p>0.0085 8.98726</p> <p>0.00875 8.91821</p> <p>0.009 8.84762</p> <p>0.00925 8.77935</p> <p>0.0095 8.71752</p> <p>0.00975 8.66366</p> <p>0.01 8.61548</p> <p>0.01025 8.56872</p> <p>0.0105 8.51959</p> <p>0.01075 8.46699</p> <p>0.011 8.41232</p> <p>0.01125 8.35897</p> <p>0.0115 8.31019</p> <p>0.01175 8.26698</p> <p>0.012 8.22767</p> <p>0.01225 8.18823</p> <p>0.0125 8.14529</p> <p>0.01275 8.09866</p> <p>0.013 8.04992</p> <p>0.01325 8.00185</p> <p>0.0135 7.95721</p> <p>0.01375 7.91664</p> <p>0.014 7.87854</p> <p>0.01425 7.8395</p> <p>0.0145 7.79682</p> <p>0.01475 7.74993</p> <p>0.015 7.70089</p> <p>0.01525 7.65246</p> <p>0.0155 7.6065</p> <p>0.01575 7.56371</p> <p>0.016 7.52264</p> <p>0.01625 7.48033</p> <p>0.0165 7.43432</p> <p>0.01675 7.38447</p> <p>0.017 7.33228</p> <p>0.01725 7.28009</p> <p>0.0175 7.22957</p> <p>0.01775 7.18109</p> <p>0.018 7.13374</p> <p>0.01825 7.0847</p> <p>0.0185 7.03187</p> <p>0.01875 6.9754</p> <p>0.019 6.91664</p> <p>0.01925 6.85735</p> <p>0.0195 6.79932</p> <p>0.01975 6.74305</p> <p>0.02 6.687</p> <p>0.02025 6.62861</p> <p>0.0205 6.56642</p> <p>0.02075 6.50083</p> <p>0.021 6.43312</p> <p>0.02125 6.3647</p> <p>0.0215 6.29672</p> <p>0.02175 6.22942</p> <p>0.022 6.16121</p> <p>0.02225 6.09054</p> <p>0.0225 6.01672</p> <p>0.02275 5.9398</p> <p>0.023 5.86069</p> <p>0.02325 5.78065</p> <p>0.0235 5.70069</p> <p>0.02375 5.62078</p> <p>0.024 5.53996</p> <p>0.02425 5.45674</p> <p>0.0245 5.37043</p> <p>0.02475 5.28143</p> <p>0.025 5.19039</p> <p>0.02525 5.09831</p> <p>0.0255 5.00598</p> <p>0.02575 4.9134</p> <p>0.026 4.81981</p> <p>0.02625 4.72445</p> <p>0.0265 4.6271</p> <p>0.02675 4.52778</p> <p>0.027 4.42719</p> <p>0.02725 4.32633</p> <p>0.0275 4.22547</p> <p>0.02775 4.12485</p> <p>0.028 4.02385</p> <p>0.02825 3.9231</p> <p>0.0285 3.82001</p> <p>0.02875 3.71778</p> <p>0.029 3.60389</p> <p>0.02925 3.48476</p> <p>0.0295 3.37125</p> <p>0.02975 3.25454</p> <p>0.03 3.09704</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Steam reforming processes using microchannel technology for conducting simultaneous endothermic and exothermic reactions
<p><strong>Steam reforming processes using microchannel technology for conducting simultaneous endothermic and exothermic reactions</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>Many catalytic processes are known in which the catalyst and the reactants are not present in the same phase, that is, state of matter. These are known as heterogeneous catalytic reactions. They include reactions between gases or liquids or both at the surface of a solid catalyst. Since the surface is the place at which the reaction occurs, it generally is prepared in ways that produce large surface areas per unit of catalyst; finely divided metals, metal gauzes, metals incorporated into supporting matrices, and metallic films have all been used in modern heterogeneous catalysis. The metals themselves are used, or they are converted to oxides, sulfides, or halides. With solid catalysts, at least one of the reactants is chemisorbed (a portmanteau term for chemically adsorbed) by the catalyst. A catalyst is chosen that releases the products formed as readily as possible; otherwise, the products remain on the catalyst surface and act as poisons to the process. Chemisorption can occur over a wide temperature range, the most effective temperature for adsorption depending on the nature of the catalyst. Thus, hydrogen is chemisorbed readily by many metals even at liquid air temperatures. With a series of hydrogenation-dehydrogenation catalysts, for example, zinc oxide-chromic oxide, chemisorption of hydrogen often occurs above room temperature. Nitrogen is rapidly chemisorbed on synthetic ammonia-iron catalyst in the region at temperatures above 400 degrees Celsius. It has been shown that iron films chemisorb nitrogen even at liquid air temperatures, with additional chemisorption found above room temperatures. It follows from such considerations that whereas physical adsorptions, which parallel the ease of liquefaction of the adsorbed substance, occur spontaneously, chemisorption, which involves the making and breaking of chemical bonds, often requires activation energies (energy needed to initiate reactions) as do uncatalyzed chemical processes. To be efficient catalytically, a process must involve energies of activation for all the steps involved that, at their maxima, are less than those required for the uncatalyzed reaction.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 9.08258</p> <p>0.00025 9.08623</p> <p>0.0005 9.06858</p> <p>0.00075 9.00579</p> <p>0.001 8.90897</p> <p>0.00125 8.80223</p> <p>0.0015 8.71498</p> <p>0.00175 8.6596</p> <p>0.002 8.62783</p> <p>0.00225 8.59661</p> <p>0.0025 8.54384</p> <p>0.00275 8.46052</p> <p>0.003 8.35118</p> <p>0.00325 8.23399</p> <p>0.0035 8.13034</p> <p>0.00375 8.05024</p> <p>0.004 7.98947</p> <p>0.00425 7.93422</p> <p>0.0045 7.87164</p> <p>0.00475 7.7959</p> <p>0.005 7.70981</p> <p>0.00525 7.62462</p> <p>0.0055 7.55304</p> <p>0.00575 7.50071</p> <p>0.006 7.46372</p> <p>0.00625 7.43144</p> <p>0.0065 7.39358</p> <p>0.00675 7.3462</p> <p>0.007 7.29176</p> <p>0.00725 7.23878</p> <p>0.0075 7.19691</p> <p>0.00775 7.16958</p> <p>0.008 7.15358</p> <p>0.00825 7.14021</p> <p>0.0085 7.12094</p> <p>0.00875 7.09265</p> <p>0.009 7.05774</p> <p>0.00925 7.02353</p> <p>0.0095 6.99801</p> <p>0.00975 6.98414</p> <p>0.01 6.97862</p> <p>0.01025 6.97401</p> <p>0.0105 6.9631</p> <p>0.01075 6.94354</p> <p>0.011 6.91761</p> <p>0.01125 6.89195</p> <p>0.0115 6.87358</p> <p>0.01175 6.86521</p> <p>0.012 6.86398</p> <p>0.01225 6.86277</p> <p>0.0125 6.8552</p> <p>0.01275 6.83935</p> <p>0.013 6.81755</p> <p>0.01325 6.79575</p> <p>0.0135 6.78029</p> <p>0.01375 6.77368</p> <p>0.014 6.77343</p> <p>0.01425 6.7728</p> <p>0.0145 6.76616</p> <p>0.01475 6.75146</p> <p>0.015 6.73076</p> <p>0.01525 6.70987</p> <p>0.0155 6.6946</p> <p>0.01575 6.68733</p> <p>0.016 6.68571</p> <p>0.01625 6.68358</p> <p>0.0165 6.67524</p> <p>0.01675 6.65921</p> <p>0.017 6.6378</p> <p>0.01725 6.61618</p> <p>0.0175 6.59945</p> <p>0.01775 6.59003</p> <p>0.018 6.5862</p> <p>0.01825 6.58161</p> <p>0.0185 6.5713</p> <p>0.01875 6.5542</p> <p>0.019 6.53214</p> <p>0.01925 6.50972</p> <p>0.0195 6.49195</p> <p>0.01975 6.48078</p> <p>0.02 6.47405</p> <p>0.02025 6.46635</p> <p>0.0205 6.45304</p> <p>0.02075 6.43348</p> <p>0.021 6.40959</p> <p>0.02125 6.38518</p> <p>0.0215 6.36493</p> <p>0.02175 6.35104</p> <p>0.022 6.34095</p> <p>0.02225 6.32964</p> <p>0.0225 6.31313</p> <p>0.02275 6.29039</p> <p>0.023 6.26259</p> <p>0.02325 6.23382</p> <p>0.0235 6.20867</p> <p>0.02375 6.18867</p> <p>0.024 6.17146</p> <p>0.02425 6.15243</p> <p>0.0245 6.12822</p> <p>0.02475 6.09766</p> <p>0.025 6.06206</p> <p>0.02525 6.02536</p> <p>0.0255 5.99144</p> <p>0.02575 5.9613</p> <p>0.026 5.93233</p> <p>0.02625 5.90042</p> <p>0.0265 5.86267</p> <p>0.02675 5.81762</p> <p>0.027 5.76647</p> <p>0.02725 5.71297</p> <p>0.0275 5.66002</p> <p>0.02775 5.60812</p> <p>0.028 5.55564</p> <p>0.02825 5.4997</p> <p>0.0285 5.43621</p> <p>0.02875 5.37507</p> <p>0.029 5.31206</p> <p>0.02925 5.25157</p> <p>0.0295 5.19092</p> <p>0.02975 5.13077</p> <p>0.03 5.07692</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Heterogeneously catalyzed steam reforming processes in chemical reactors employing microchannel process technology
<p><strong>Heterogeneously catalyzed steam reforming processes in chemical reactors employing microchannel process technology</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com</p> <p> </p> <p>The oxidation of sodium sulfite solutions by dissolved oxygen is greatly accelerated by minute traces of copper ions in the homogeneous liquid system. This system is of special interest since it has been shown that the process is a chain reaction. In this case many thousands of molecules of sodium sulfite can be oxidized to sulfate if the initial activation process is produced by absorption of a limited number of quanta (discrete energy measures) of light. The best example of a light-initiated chain reaction is the photocombination of hydrogen and chlorine; as many as one million molecules of hydrogen chloride can be formed by absorption of a single light quantum. It is of interest to note that such chain reactions can be retarded by the presence of negative catalysts, more commonly termed inhibitors. These are materials that slow down the overall reaction by shortening the reaction chains, generally by entering into a non-chain reaction with one of the chemical components that maintain the chain. A wide variety of substances, including alcohols, sugars, and phenols, have been found to act as inhibitors of the oxidation of sulfite solutions. In certain instances, two or more catalysts present at the same time produce effects greater than either would produce alone. It is then customary to speak of promoter action. Thus, iron ions in solution fortify the action of copper ions in catalyzing a reaction between hydrogen peroxide and iodine. It is assumed that each catalyst activates only one of the reactants.</p> <p>Streamwise distance (meter), Heterogeneous reaction rate along the length of the reactor (mole per square meter per second)</p> <p>0 4.44959</p> <p>0.00025 4.45878</p> <p>0.0005 4.48183</p> <p>0.00075 4.51166</p> <p>0.001 4.54417</p> <p>0.00125 4.58104</p> <p>0.0015 4.62817</p> <p>0.00175 4.68814</p> <p>0.002 4.75712</p> <p>0.00225 4.82549</p> <p>0.0025 4.88385</p> <p>0.00275 4.92753</p> <p>0.003 4.95729</p> <p>0.00325 4.98021</p> <p>0.0035 5.00483</p> <p>0.00375 5.03541</p> <p>0.004 5.07069</p> <p>0.00425 5.10466</p> <p>0.0045 5.13141</p> <p>0.00475 5.14874</p> <p>0.005 5.15804</p> <p>0.00525 5.16465</p> <p>0.0055 5.17504</p> <p>0.00575 5.19208</p> <p>0.006 5.21419</p> <p>0.00625 5.23637</p> <p>0.0065 5.25342</p> <p>0.00675 5.26315</p> <p>0.007 5.26706</p> <p>0.00725 5.26999</p> <p>0.0075 5.27698</p> <p>0.00775 5.2902</p> <p>0.008 5.30797</p> <p>0.00825 5.32557</p> <p>0.0085 5.33865</p> <p>0.00875 5.34553</p> <p>0.009 5.34758</p> <p>0.00925 5.34898</p> <p>0.0095 5.35409</p> <p>0.00975 5.36492</p> <p>0.01 5.38001</p> <p>0.01025 5.39497</p> <p>0.0105 5.40558</p> <p>0.01075 5.41024</p> <p>0.011 5.41031</p> <p>0.01125 5.41008</p> <p>0.0115 5.41383</p> <p>0.01175 5.42315</p> <p>0.012 5.43632</p> <p>0.01225 5.44943</p> <p>0.0125 5.45885</p> <p>0.01275 5.46302</p> <p>0.013 5.46291</p> <p>0.01325 5.46232</p> <p>0.0135 5.46534</p> <p>0.01375 5.47361</p> <p>0.014 5.48559</p> <p>0.01425 5.49703</p> <p>0.0145 5.50449</p> <p>0.01475 5.50685</p> <p>0.015 5.5052</p> <p>0.01525 5.50292</p> <p>0.0155 5.5039</p> <p>0.01575 5.5099</p> <p>0.016 5.51963</p> <p>0.01625 5.52926</p> <p>0.0165 5.53479</p> <p>0.01675 5.53509</p> <p>0.017 5.53187</p> <p>0.01725 5.52862</p> <p>0.0175 5.52867</p> <p>0.01775 5.53341</p> <p>0.018 5.54174</p> <p>0.01825 5.54974</p> <p>0.0185 5.5541</p> <p>0.01875 5.5541</p> <p>0.019 5.55067</p> <p>0.01925 5.54664</p> <p>0.0195 5.54565</p> <p>0.01975 5.54956</p> <p>0.02 5.55697</p> <p>0.02025 5.56395</p> <p>0.0205 5.56722</p> <p>0.02075 5.56603</p> <p>0.021 5.56165</p> <p>0.02125 5.55689</p> <p>0.0215 5.55505</p> <p>0.02175 5.55776</p> <p>0.022 5.56342</p> <p>0.02225 5.56878</p> <p>0.0225 5.57095</p> <p>0.02275 5.56887</p> <p>0.023 5.56341</p> <p>0.02325 5.55734</p> <p>0.0235 5.55408</p> <p>0.02375 5.55524</p> <p>0.024 5.55933</p> <p>0.02425 5.56278</p> <p>0.0245 5.56283</p> <p>0.02475 5.55851</p> <p>0.025 5.55036</p> <p>0.02525 5.54139</p> <p>0.0255 5.53503</p> <p>0.02575 5.53218</p> <p>0.026 5.53104</p> <p>0.02625 5.52834</p> <p>0.0265 5.52161</p> <p>0.02675 5.51435</p> <p>0.027 5.50735</p> <p>0.02725 5.50059</p> <p>0.0275 5.49358</p> <p>0.02775 5.48678</p> <p>0.028 5.47965</p> <p>0.02825 5.47246</p> <p>0.0285 5.46597</p> <p>0.02875 5.45839</p> <p>0.029 5.45181</p> <p>0.02925 5.4442</p> <p>0.0295 5.43768</p> <p>0.02975 5.43001</p> <p>0.03 5.42345</p> <p>Contributor: Junjie Chen, ORCID: 0000-0001-5055-4309, E-mail address: komcjj@gmail.com, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p>
Sentinel-1 RTC imagery processed by ASF over central Himalaya in High Mountain Asia
<p>This is a dataset of Sentinel-1 radiometric terrain corrected (RTC) imagery processed by the Alaska Satellite Facility covering a region within the Central Himalaya. It accompanies a tutorial demonstrating accessing and working with Sentinel-1 RTC imagery using xarray and other open source python packages.</p>
FPCA - From mobile app-based crowdsourcing to crowd-trusted food price estimates in Nigeria: pre-processing and post-sampling strategy for optimal statistical inference
<p>Timely and reliable monitoring of commodity food prices is an essential requirement for the assessment of market and food security risks and the establishment of early warning systems, especially in developing economies. However, data from regional or national systems for tracking changes of food prices in sub-Saharan Africa lacks the temporal or spatial richness and is often insufficient to inform targeted interventions. In addition to limited opportunity for [near-]real-time assessment of food prices, various stages in the commodity supply chain are mostly unrepresented, thereby limiting insights on stage-related price evolution. Yet, governments and market stakeholders rely on commodity price data to make decisions on appropriate interventions or commodity-focused investments. Recent rapid technological development indicates that digital devices and connectivity services are becoming affordable for many, including in remote areas of developing economies. This offers a great opportunity both for the harvesting of price data (via new data collection methodologies, such as crowdsourcing/crowdsensing — i.e. citizen-generated data — using mobile apps/devices), and for disseminating it (via web dashboards or other means) to provide real-time data that can support decisions at various levels and related policy-making processes. However, market information that aims at improving the functioning of markets and supply chains requires a continuous data flow as well as quality, accessibility and trust. More data does not necessarily translate into better information. Citizen-based data-generation systems are often confronted by challenges related to data quality and citizen participation, which may be further complicated by the volume of data generated compared to traditional approaches. Following the food price hikes during the first noughties of the 21st century, the European Commission's Joint Research Centre (JRC) started working on innovative methodologies for real-time food price data collection and analysis in developing countries. The work carried out so far includes a pilot initiative to crowdsource data from selected markets across several African countries, two workshops (with relevant stakeholders and experts), and the development of a spatial statistical quality methodology to facilitate the best possible exploitation of geo-located data. Based on the latter, the JRC designed the Food Price Crowdsourcing Africa (FPCA) project and implemented it within two states in Northern Nigeria. The FPCA is a credible methodology, based on the voluntary provision of data by a crowd (people living in urban, suburban, and rural areas) using a mobile app, leveraging monetary and non-monetary incentives to enhance contribution, which makes it possible to collect, analyse and validate, and disseminate staple food price data in real time across market segments. The granularity and high frequency of the crowdsourcing data open the door to real-time space-time analysis, which can be essential for policy and decision making and rapid response on specific geographic regions. <a href="https://datam.jrc.ec.europa.eu/datam/perm/news/870?rdr=1666109837893">Link to the project</a></p>
Data Used in "Close view of of the lightning attachment process unveils the streamer zone fine structure"
<p>This page contains high-speed video files as .gif and .cine files, for the complete video of Figure 2 (Movie S1 and S3). It also contains the video (Movie S2) from a second high-speed (Phantom V711) looking in a different direction that saw other UUL leaders not registered by the Phantom V2012 camera. There is also an Excel file containing the data analysis. The data uploaded here is sufficient to reproduce the results of the paper titled "Close view of of the lightning attachment process unveils the streamer zone fine structure", submitted for publication in Geophysical Research Letters.</p> <p><em>Instructions to watch the videos</em>: <strong>Movie S1.cine </strong>and<strong> Movie S2.cine:</strong></p> <p>Download and use the software Phantom Camera Control (PCC) available at:</p> <p><a href="https://www.phantomhighspeed.com/resourcesandsupport/phantomresources/pccsoftware">https://www.phantomhighspeed.com/resourcesandsupport/phantomresources/pccsoftware</a></p> <p>The Phantom Camera Control (PCC) software is compatible with Windows 7 Pro and Windows 8.1 and Windows 10, for both 32 and 64-bit operating systems.</p>
Processed Data for Figures of "Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains"
<p>Processed output data for generating figures of "Declining Amazon biomass due to deforestation and subsequent degradation losses exceeding gains". Most datasets are aggregated to 0.25 degree resolution of L-VOD data.</p> <p>Data are organised in folders but should be added to a single directory for easy use with provided code.</p> <ul> <li>AGC_LVOD: Aboveground carbon [Mg C ha] (2011-2019) and trends [Mg C ha yr] derived from different L-VOD indices calibrated to AGC using the ESA CCI biomass map. Provides data based on smoothed, max and trend indices as well as their mean.</li> <li>modelprocesschanges: Annual and total aboveground carbon changes [Mg C ha] (2011-2018) derived for different processes following methods described in the manuscript.</li> <li>inputData: pre-processed landcover fraction information at 1 km resolution, used as input for Figure 1b.</li> <li>forestcover: Forest cover and intact (old-growth) forest cover fractions derived from mapbiomas. (2011-2018)</li> <li>masks: Raster mask of areas considered in analysis.</li> <li>valuerangeserrors: Upper and lower value boundaries for AGC and processes, derived from standard errors in ESA CCI biomass map.</li> </ul> <p>When using any of the data listed above please cite the original paper (Fawcett et al., 2022) as well as the original data sources mentioned in the manuscript.</p>
Validation of a new spatially-explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex stands in Eastern North-America : Dataset
<p>This dataset is linked to the paper “Validation of a new spatially-explicit process-based model (HETEROFOR) to simulate structurally and compositionally complex stands in Eastern North-America" published in Geoscientific Model Development (https://doi.org/10.5194/gmd-16-1661-2023). It contains the installer of the model, its user guide, as well as all the input files (inventory, thinning, meteorology and soil horizons files for each stand used in the evaluation and calibration steps), the R scripts and associated data used to analyse the model outputs.</p>
Synthesis reveals that island species-area relationships emerge from processes beyond passive sampling
<p><strong>Aim</strong></p> <p>The Island Species-Area Relationship (ISAR) quantifies how the number of species increases as the area of an island or island-like habitat gets larger, and is one of ecology's most general patterns. However, studies that measure the ISAR often confound variation in sampling methodology and analyses, precluding appropriate syntheses of its underlying mechanisms. While most ISAR studies only use presence-absence data at the whole-island scale, we aggregated data sets of species-level abundances allowing for individual-based rarefaction.</p> <p><strong>Location</strong></p> <p>505 islands from 34 different archipelagos across the world, including oceanic islands, lake islands and forest islands.</p> <p><strong>Major Taxa Studied</strong></p> <p class="MsoPlainText">Local assemblages of plants, invertebrates, herpetofauna, birds, mammals</p>
Data from: Molecular and cellular processes of deafferentation after plexus injury in human dorsal root ganglia
<p><strong>Dataset of human dorsal root ganglia (DRG) images and deep learning models</strong></p> <p>Sections of six control and six plexus patient DRG were immunostained and imaged using large-field (tile) microscopy. Two staining combinations were investigated: </p> <p>- n<em>eurofilament </em>(NF), <em>fatty acid binding protein 7</em> (FABP7), and <em>clusterin (</em>APOJ)</p> <p>- n<em>eurofilament </em>(NF),<em> ionized calcium-binding adapter molecule 1 (</em>IBA1), and <em>microtubule-associated protein 2</em> (MAP2) </p> <p>NF-positive neurons were segmented with a deep learning method (<em>deepflash2</em>). FABP7 and IBA1 were segmented with a thresholding method.</p> <p>Provided are:</p> <p>- all images and corresponding segmentation masks for NF, FABP7, and IBA1 </p> <p>- images and annotated segmentation masks of NF-positive neurons (3 experts annotated the same 10 images, the estimated ground truth masks were used for training of deep learning models)</p> <p>- the deep learning model ensemble (3) for segmentation of NF-positive neurons</p> <p> </p> <p> </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.