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11,194 results for “Organizations”
Erosion Rates, Soil Core Descriptions and Organic Matter on the Virginia Coast
These data include stratigraphic, organic matter, and organic carbon analyses of sediment cores, as well as values used to calculate the time-averaged carbon erosion rate for the central 10 islands of the Virginia Barrier Island chain.
Crab Burrows, Soil Nutrients, and Spartina alterniflora : organic content in Brownsville, VA 1992
The effect of Crab Burrows on Soil Nutrients and Spartina alterniflora by Winli Lin This study investigated the effects of fiddler crab (Uca pugnax) burrows on soil nutrients and the marsh grass Spartina alterniflora. Tall-form Spartina alterniflora (1-2m tall) typically dominates the marsh area that is flooded daily by tides. The short-form S. alterniflora(<0.5m tall) generally occupies the higher tidal heights (Bertness 1985). These short-form S. alterniflora are charterized by reduced soil drainage (Mendelssohn and Senecs 1980; Howes et al. 1981; Mendelssohn et al. 1981) and increased soil sulfide levels (King et al. 1982). From comparing control areas devoid of burrrows to those with burrows added, an increase in above-ground Spartina alterniflora production has been observed along with an increase of soil drainage rates and redox potential levels (Bertness 1985). Others have looked at how nutrient availability (Mendelssohn 1979) and sulfide accumulation (King et al. 1982; Howarth and Giblin 1983) may be the primary limiting factors controlling the production and success of S. alterniflora. While soil water movement has been shown to influence the soil parameters, (i.e., sulfide concentration and redox potential) that directly affect cordgrass production (King et al. 1982; Koch et al. 1990), little has been studied on how biotic modifications, such as crab burrows, mediate these physical factors. The Uca pugnax, are burrowing deposit-feeders that excavate and maintain semi-permanent burrows in the marsh surface. They have been found to not only oxygenate marsh soils (Howes et al 1981) and modify sediment meiofaunal abundance, they could also provide a suitable environment for continued burrowing and, as a byproduct, increase the marsh grass production and maintain the tall-form S. alterniflora. Uca pugnax, the mud fiddler crab, is the dominant form of crab seen in Brownsville, VA. Their burrows are primarily restricted to areas of tall-form S. alterniflora, due
Data on ground ice, organic carbon and soluble cations in tundra permafrost and active-layer soils near Lac de Gras in the Slave Geological Province, N.W.T., Canada
<p>Data and computer code for producing figures for the manuscript:</p> <p>Subedi, R., Kokelj, S. V., and Gruber, S.: Ground ice, organic carbon and soluble cations <br> in tundra permafrost soils and sediments near a Laurentide ice divide in the Slave <br> Geological Province, N.W.T., Canada. The Cryosphere, accepted for publication in October 2020. </p> <p>Discussion paper and final version: https://doi.org/10.5194/tc-2020-33</p> <p> </p> <p>==========================================================================================<br> CONTENT OF DIRECTORIES<br> ==========================================================================================<br> -– data [input data to produce plots]<br> |–– BoreholesMeta.csv<br> |–– brackets_photos_ice.csv<br> |–– brackets_photos_thawed.csv<br> |–– Lac_de_Gras_permafrost_20200612.csv<br> |–– NordicanaD<br> <br> |–– ds_000582159 [authoritative copy at doi: 10.5885/45558XD-EBDE74B80CE146C6]<br> |–– Cored_Drill_TCR.csv<br> |–– Cored_Drill_TCR.csv_ReadMe.txt<br> <br> |–– ds_000582163 [authoritative copy at doi: 10.5885/45558XD-EBDE74B80CE146C6]<br> |–– Cored_Drill_Logs.csv_ReadMe.txt<br> |–– Cored_Drill_Logs.csv</p> <p>–– plot [R scripts write plots into this subdirectory]</p> <p>–– src [R scripts to generate plots]<br> |–– Combined_Plots.R [produces Figures 3–6]<br> |–– Eskers.R [helper function called by Combined_Plots.R]<br> |–– Organics.R [helper function called by Combined_Plots.R]<br> |–– plot_boreholes_DD_single.R [produces Figures S3]<br> |–– plot_boreholes_DD.R [produces raw Figure S2 for further graphic processing]<br> |–– Till.R [helper function called by Combined_Plots.R]<br> |–– Valley.R [helper function called by Combined_Plots.R]</p> <p><br> ==========================================================================================<br> RUNNING SCRIPTS<br> ==========================================================================================</p> <p>Adjust the variable 'path' in these scrips, then run: <br> Combined_Plots.R<br> plot_boreholes_DD_single.R<br> plot_boreholes_DD.R </p> <p>Tested with R version 3.6.3 (2020-02-29) -- "Holding the Windsock"</p> <p> </p> <p>==========================================================================================<br> REFRERENCE<br> ==========================================================================================<br> Please note that the data contained in data/NordicanaD is published as Gruber et al. (2018)<br> and only included here for convenience. The full reference for the authoritative copy is: <br> <br> Gruber, S., Brown, N., Stewart-Jones, E., Karunaratne, K., Riddick, J., Peart, C., <br> Subedi, R., Kokelj, S. 2018. Drill logs, visible ice content and core photos from 2015 <br> surficial drilling in the Canadian Shield tundra near Lac de Gras, Northwest Territories, <br> Canada, v. 1.0 (2015-2015). Nordicana D38, doi: 10.5885/45558XD-EBDE74B80CE146C6. <br> http://www.cen.ulaval.ca/nordicanad/dpage.aspx?doi=45558XD-EBDE74B80CE146C6 </p>
Dataset: Volatile organic compound fluxes in a subarctic peatland and lake
<p>Dataset used in the article "Volatile organic compound fluxes in a subarctic peatland and lake" published in the journal Atmospheric Chemistry and Physics 20: 13399–13416 (2020) <a href="https://doi.org/10.5194/acp-20-13399-2020">https://doi.org/10.5194/acp-20-13399-2020</a> .</p> <p>The tab-delimited file contains direct surface-atmosphere Volatile Organic Compound fluxes, measured by Eddy Covariance with a Proton Transfer Reaction -Time of Flight- Mass Spectrometer (PTR-ToF-MS) at a subarctic fen and a subarctic lake during 2018. It also contains PAR Photosynthetic Active Radiation, air temperature, and vegetation surface temperature.</p>
Data for: The circular economy potential of urban organic waste streams in low- and middle-income countries
<p>This dataset includes the research data and supporting information for the publication "The circular economy potential of urban organic waste streams in low- and middle-income countries" which was published in the Journal of Environment, Development and Sustainability (DOI: 10.1007/s10668-021-01487-w).</p> <p>This dataset and the associated publication are the basis upon which the REVAMP (Resource Value Mapping) tool has been developed. See more info about the REVAMP tool here: https://www.sei.org/revamp</p> <p> </p>
Experimental Organic Rankine Cycle database - v2016.12
<p>Database on experimental Organic Rankine Cycle units. Dec. 2016 version.</p> <p>Supplementary materiel of the ICAE 2016 conference paper entitle "<em>Performance Evaluation and Comparison of Experimental Organic Rankine Cycle Prototypes from Published Data</em>" and the extended paper entitled "<em>Organic Rankine cycle design and performance comparison based on experimental database</em>" publish in Applied Energy - ICAE2016 Special Issue.</p>
Organic soil surveys across Flanders
<p>This dataset contains geospatial data of organic soils in wetlands and valleys across the Flemish region (Belgium). It is a compilation of several surveys, mainly commissioned by Agentschap voor Natuur en Bos (ANB), Vlaamse Milieumaatschappij (VMM) and Natuurpunt to map the presence of shallow organic soil layers for conservation purposes. Organic layer depth was mapped by pushing a (pvc) rod into the organic ground until it hits a resistance or mineral layer, then recording the depth and the geographical position with a handheld gps. This method allows a quick and cost-effective survey of large shallow carbon stocks. At several locations additional auger boring sample data and electrical conductivity-probe sample data was included in the dataset.<br><br>Since the majority of the samples were not analysed on carbon content, soils were defined as "organic soils".<br><br>Dataset maintained by the Research Institute for Nature and Forest/INBO</p><p><strong>For any inquiries, please contact </strong><a href="mailto:Tom.dedobbelaer@inbo.be"><strong>Tom.dedobbelaer@inbo.be</strong></a><strong> or </strong><a href="mailto:Cecile.herr@inbo.be"><strong>Cecile.herr@inbo.be</strong></a>. The .csv will be updated as required to correct issues or to add data from additional surveys. Please check for updated versions periodically.</p><p>Data description</p><ul><li>location: inventory location name</li><li>year: year of survey</li><li>Sample_ID: Point-ID given during survey, not unique</li><li>Unique_ID: Unique point-ID created for this dataset</li><li>EPSG_31370_X: X-coordinaat in EPSG 31370 (Lambert72), rounded to the closest meter</li><li>EPSG_31370_Y: Y-coordinaat in EPSG 31370 (Lambert72), rounded to the closest meter</li><li>stratigraphy: stratigraphy of the organic layer (near surface, substrate)</li><li>organic_layer_notation: indicates if depth is a value or within a range</li><li>organic_layer_depth: depth of the organic layer, measured from surface level (in cm)</li><li>sign: certain surveys mention a sign indicating if the actual depth is equal to or bigger then the given depth (e.g. when the measuring rod is too short or damaged during a survey)</li><li>method: method used to define organic layer depth</li><li>source: indicates the source of the data, it can be original field data or derived data from a map.</li><li>comment_soil: field comment given during survey (in Dutch)</li><li>contractor: contractor of the survey</li><li>awarding authority: commissioner of the survey</li></ul><p> </p>
Hyperspectral Imaging Dataset for Laser Thermal Ablation Monitoring in Vital Organs
<p><strong>Objectives:</strong> The objective of the research was to use hyperspectral imaging (HSI) to detect thermal damage induced in vital organs (such as the liver, pancreas, and stomach) during laser thermal therapy. The experimental study was conducted during thermal ablation procedures on live pigs.</p> <p><strong>Ethical Approval:</strong> The experiments were performed at the Institute for Image Guided Surgery in Strasbourg, France. This experimental study was approved by the local Ethical Committee on Animal Experimentation (ICOMETH No. 38.2015.01.069) and by the French Ministry of Higher Education and Research (protocol №APAFiS-19543-2019030112087889, approved on March 14, 2019). All animals were treated in accordance with the ARRIVE guidelines, the French legislation on the use and care of animals, and the guidelines of the Council of the European Union (2010/63/EU).</p> <p><strong>Description:</strong> During our experimental study, we used a TIVITA hyperspectral camera to acquire hypercubes of size 640x480x100 voxels, indicating 640x480 pixels for 100 bands, and regular RGB images at each acquisition step. These bands were acquired directly from the hyperspectral camera without additional pre-processing. The hypercube was acquired in approximately 6 seconds and synchronized with the absence of breathing motion using a protocol implemented for animal anesthesia. Polyurethane markers were placed around the target area to serve as references for superimposing the hyperspectral images, which were acquired using target areas selected according to the hyperspectral camera manufacturer's guidelines.</p> <p>As part of our investigation, we included hyperspectral cubes from 20 experiments conducted under identical conditions in our study. The hyperspectral cubes were collected in three distinct stages. In the first stage, the cubes were gathered before laparotomy at a temperature of 37°C. In the second stage, we obtained the cubes as the temperature gradually increased from 60°C to 110°C at 10°C intervals. Finally, in the last stage, the cubes were collected after turning off the laser during the post-ablation phase. Thus, we obtained a total of 233 hyperspectral cubes, each consisting of 100 wavelengths, resulting in a dataset of 23,300 two-dimensional images. The temperature changes were recorded, and the “<em>Temperature profile during laser ablation</em>” image illustrates the corresponding profile, highlighting the specific time intervals during which the hyperspectral camera and laser were activated and deactivated. To provide a visual representation of the collected data, we have included several examples of images captured from different organs in the “<em>Examples of ablation areas</em>” figure.</p> <p>The raw dataset, comprising 233 hyperspectral cubes of 100 wavelengths each, was transformed into 699 single-channel images using PCA and t-SNE decompositions. These images were then divided into training and test subsets and prepared in the COCO object detection format. This COCO dataset can be used for training and testing different neural networks.</p> <p><strong>Access to the Study:</strong> Further information about this study, including curated source code, dataset details, and trained models, can be accessed through the following repositories:</p> <ul> <li><strong>Source code:</strong> <a href="https://github.com/ViacheslavDanilov/hsi_analysis" target="_blank" rel="noopener">https://github.com/ViacheslavDanilov/hsi_analysis</a></li> <li><strong>Dataset:</strong> <a href="https://doi.org/10.5281/zenodo.10444212" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10444212</a></li> <li><strong>Models:</strong> <a href="https://doi.org/10.5281/zenodo.10444269" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.10444269</a></li> </ul>
Dataset to: Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada (CATENA) - Version 2 (Corrected)
<p><strong>Version update: Coordinates were not correct in previsous version and have been corrected now in version 2</strong></p> <p> </p> <p>Dataset to the manuscript: Schiedung et al. (2022, Catena) Organic carbon stocks, quality and prediction in permafrost-affected forest soils in North Canada ( <a href="https://doi.org/10.1016/j.catena.2022.106194">https://doi.org/10.1016/j.catena.2022.106194</a> )</p> <p>Data files, variables and parameter are described in <em>Var_names_dd_all.csv</em> for all data on each sample and <em>Var_names_dd_composites.csv </em>for all data on composited samples per site and depth. DRIFT data and corresponding explenation are in <em>Schiedung_CATENA_DRIFT_v1.1.zip.</em></p> <p> </p> <p><strong> </strong></p>
heat of hydrogenation for diverse organic compounds -- experimental and calculated data for 166 unique reactions
<h3>General remarks</h3> <p>The experimental data was drawn from reactions involving H2 that are available at <a href="https://webbook.nist.gov/cgi/cbook.cgi?Name=H2&Units=SI&cTR=on" target="_blank" rel="noopener">NIST</a> (accessed on 15/03/2024). Only reactions of type<strong><em> M + H2 => MH2</em></strong>, where M is a neutral, closed-shell organic molecule that accepts one equivalent of H2, were included in the collection. M corresponds to the oxidized form of the molecule ( => suffix '_ox'), MH2 to the reduced form (=> suffix '_red'). For reasons of clarity, the references to original publications were abbreviated in the main table (look up in separate table).</p> <p>For the molecules involved, Smiles were manually assigned. From those, 3D structures were generated and evaluated in order to match the thermodynamic properties as accurately as possible (for details on the procedure refer to the related work, see below).</p> <p>In addition to the experimental uncertainty, a significant scatter is seen for replicate measurements.</p> <p><strong>Please note</strong>: To compute the heat of hydrogenation from the calculated data for M/MH2 the contribution of H2 needs to be considered, take e.g. -1.164816 hartree (Energy at 298.15K, calculated at CCSD(T)=FULL/aug-cc-pVDZ) from <a href="https://cccbdb.nist.gov/energy3x.asp?method=63&basis=17&charge=0" target="_blank" rel="noopener">CCCBDB</a> (accessed on 15/03/2024).</p> <h3> </h3> <h3>Description of files</h3> <p>The file <strong>01_heat_of_hydrogenation_XP+QM.csv</strong> contains experimentally measured and calculated data.</p> <ul> <li>columns are separated by "|"</li> <li>column names and explanations: <ul> <li><strong>NIST_idx</strong> -- index of original reaction, mostly unique. In a few cases, data of the reverse reaction were subsumed under a different index</li> <li><strong>env</strong> -- if available, information about the environment a reported reaction took place in, e.g. gas phase, hexane, etc...</li> <li><strong>method</strong> -- if available, reference about the experimental technique, e.g. 'Eqk' = Heat of equilibrium, 'Cm' = Calorimetry, 'Chyd' = Calorimetry of hydrogenation</li> <li><strong>Temperature K</strong> -- if available, reported values </li> <li><strong>reference</strong> -- Abbreviation of reference to original publication</li> <li><strong>experimental heat of reaction kJ/mol</strong> -- measured value as reported by experimentalists</li> <li><strong>experimental uncertainty </strong>-- if available, uncertainty of measurement reported by experimentalists</li> <li><strong>comments</strong> -- notes relating to identification of compounds</li> <li><strong>SMILES_ox</strong> -- isomeric canonical SMILES for oxidized form M</li> <li><strong>InChI_ox</strong> -- InChI for oxidized form M </li> <li><strong>SMILES_red</strong> -- isomeric canonical SMILES for reduced form M</li> <li><strong>InChI_red </strong>-- InChI for reduced form M</li> <li><strong>reaction_index </strong>-- consequtively numbered for identical pairs (SMILES_ox, SMILES_red)<strong><br></strong></li> <li>the calculated properties are given for the oxidized and reduced form of the molecule (in hartree) <ul> <li><strong>E(B3LYP/6-31G(2df,p))</strong></li> <li><strong>E_thermal</strong></li> <li><strong>E(G4(MP2))@0K</strong></li> <li><strong>E(G4(MP2))@298K</strong></li> <li><strong>H(G4(MP2))</strong></li> <li><strong>heat_of_formation@0K</strong></li> <li><strong>heat_of_formation@298K</strong></li> </ul> </li> </ul> </li> </ul> <p><strong>02_molecules.sdf:</strong> provides for each molecule a low-energy geometry along with some descriptors and calculated energetic properties:</p> <blockquote> <ul> <li>coordinate block + bond information</li> <li>properties <ul> <li><strong>SMILES</strong> -- isomeric canonical smiles linking compound to reactions defined in 01_heat_of_hydrogenation_XP+QM.csv</li> <li><strong>radical_electrons</strong> -- number of unpaired electrons as determined by RDKit</li> <li><strong>empirical_formula</strong> -- elemental composition of molecule</li> <li><strong>molecular_weight</strong> -- as determined by RDKit in g/mol</li> <li><strong>TPSA </strong>-- topological polar surface area (<em>TPSA</em>) as determined by RDKit</li> <li><strong>logP </strong>-- octanol/water partition coefficient as predicted by RDKit</li> <li><strong>nof_heavy_atoms --</strong> number of non-hydrogen atoms in molecule</li> <li><strong>degree_of_unsaturation</strong> -- sum of multiplebonds and/or rings present in the compound</li> <li><strong>rings</strong> -- number of rings in the compound as determined by RDKit</li> <li><strong>multiplicity</strong> -- spin multiplicity for use as input for QM calculations</li> <li><strong>nof_multiple_bonds</strong> -- number of multiple bonds as determined by RDKit</li> <li><strong>Std_InChI</strong> -- standard InChi</li> <li><strong>FixedH_InChI</strong> -- variant of InChI to differentiate tautomers</li> <li><strong>tag </strong>-- dataset label</li> <li><strong>total_atoms </strong>-- total number of atoms (including H)</li> <li><strong>net_charge</strong> -- total charge of molecule in units of elementary charge</li> <li> <p>energetic properties (in hartree) </p> <ul> <li> <p><code>E(B3LYP/6-31G(2df,p))</code></p> </li> <li> <p><code>E</code><code>(HF/maug-cc-p(T+d)Z) </code></p> </li> <li> <p><code>E(HF/CBS)</code></p> </li> <li> <p><code>E(HF/maug-cc-p(Q+d)Z) </code></p> </li> <li> <p><code>E(MP2/6-31G(d))</code></p> </li> <li> <p><code>E(CCSD(T)/6-31G(d))</code></p> </li> <li> <p><code>E(HF/G3MP2LARGEXP) </code></p> </li> <li> <p><code>E(MP2/G3MP2LARGEXP)</code></p> </li> <li> <p><code>DE(MP2) hartreeDE(HF)</code></p> </li> <li> <p><code>ZPE(B3LYP) hartree</code></p> </li> <li> <p><code>ZPE_scale_factor hartree</code></p> </li> <li> <p><code>E(HLC) hartree</code></p> </li> <li> <p><code>E_thermal hartree</code></p> </li> <li> <p><code>H_thermal hartree</code></p> </li> <li> <p><code>E(G4(MP2))@0K hartree</code></p> </li> <li> <p><code>E(G4(MP2))@298K hartree</code></p> </li> <li> <p><code>H(G4(MP2)) hartree</code></p> </li> <li> <p><code>heat_of_formation@0K kcal/mol</code></p> </li> <li> <p><code>heat_of_formation@298K kcal/mol</code></p> </li> </ul> </li> </ul> </li> </ul> </blockquote> <p><strong>03_references.csv</strong> (separated by "|") lists abbreviations and corresponding full reference to original publication of individual data points.</p>
Organic Matter, Geochemical, Visible Spectrocolorimetric Properties, Radiocesium Properties, and Grain Size of Potential Source Material, Target Sediment Core Layers and Laboratory Mixtures for Conducting Sediment Fingerprinting Approaches in the Mano Dam Reservoir (Hayama Lake) Catchment, Fukushima Prefecture, Japan
<p>The current dataset was compiled to study sediment fingerprintings practices, i.e tracer selection and contribution modelling. Organic matter, elemental geochemistry, visible difuse spectrocolorimetric properties, radiocesium properties, and grain size were analysed were analysed in potential source material that may supply sediment to coastal rivers, here the upper part of the Mano river, draining the main Fukushima radioactive pollution plume (Japan). Four potential soil source materials (<em>n</em> = 68) were considered: undecontaminated cropland (<em>n</em> = 24), as non-decontaminated soil before the application of local decontamination policies, remediated cropland (<em>n</em> = 10), as decontaminated soil after the application of local decontamination policies, forest soils (n = 24) and subsurface material originating from channel bank collapse or landslides (<em>n</em> = 10; referred to as subsoil). A sediment core was collected in the Mano Dam lake (Hayama lake) on the 6th June 2021 and was sectionned into 1-cm layers (<em>n</em> = 38). Laboratory mixtures (<em>n</em> = 27) were made to assess different contribution levels from the sources.</p> <p>The current dataset comprises four .csv files including data and metadata information and their respective descriptions of variables. The data set is composed of soil samples, sediment core layer and laboratory mixtures. Laboratory mixtures were prepared to provide a dataset to calibrate/validate un-mixing models implemented to address this research question and analysed in the same conditions and using the same equipment as the source/target material.</p> <p>Recommended encoding format: <strong>latin1</strong></p>
Parish church (L'église Saint-Pierre). Interior. The organ. 3
<u>File Name</u>: PM_142760_F_Steenvoorde <br><u>Sublocation</u>: Eglise Saint-Pierre <br><u>Location</u>: Steenvoorde <br><u>Province</u>: Hauts-de-France., Nord <br><u>Country</u>: France <br><u>Header</u>: Intérieur, l'orgue, détail <br><u>Description</u>: Parish church (L'église Saint-Pierre). Interior. The organ. <br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Author Mail</u>: pmrmeaeyaert@gmail.com <br><u>Copyright</u>: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com <br><u>Keywords</u>: Europe|France; Europe|France|Hauts-de-France|Nord; Europe|France|Hauts-de-France; Cultural heritage|Monuments|Church; Cultural heritage|Techniques|Sculpture; Europe|France|Hauts-de-France|Nord|Steenvoorde; Cultural heritage|Monuments; Cultural heritage|Techniques; Cultural heritage|Thematic; Cultural heritage|Thematic|Organ; Cultural heritage <br><u>Date of Generation</u>: 2022-02-05T14:19:40+02:00
Parish church (L'église Saint-Pierre). Interior. The organ. 2
<u>File Name</u>: PM_142754_F_Steenvoorde <br><u>Sublocation</u>: Eglise Saint-Pierre <br><u>Location</u>: Steenvoorde <br><u>Province</u>: Hauts-de-France., Nord <br><u>Country</u>: France <br><u>Header</u>: Intérieur, l'orgue <br><u>Description</u>: Parish church (L'église Saint-Pierre). Interior. The organ. <br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Author Mail</u>: pmrmeaeyaert@gmail.com <br><u>Copyright</u>: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com <br><u>Keywords</u>: Europe|France; Europe|France|Hauts-de-France|Nord; Europe|France|Hauts-de-France; Cultural heritage|Monuments|Church; Europe|France|Hauts-de-France|Nord|Steenvoorde; Cultural heritage|Monuments; Cultural heritage|Thematic; Cultural heritage|Thematic|Organ; Cultural heritage <br><u>Date of Generation</u>: 2022-02-05T14:02:08+02:00
Parish church (Collégiale Notre-Dame de la Crypte). Interior. The organ. Detail. Statue of Saint Cecilia.
<u>File Name</u>: PM_142816_F_Cassel <br><u>Sublocation</u>: Collégiale Notre-Dame <br><u>Location</u>: Cassel <br><u>Province</u>: Hauts-de-France., Nord <br><u>Country</u>: France <br><u>Header</u>: Intérieur, l'orgue de tribune, l'orgue et le buffet ont été transformés en 1821, détail, statue de Sainte Cécile, patronne des musiciens <br><u>Description</u>: Parish church (Collégiale Notre-Dame de la Crypte). Interior. The organ. Detail. Statue of Saint Cecilia. <br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Author Mail</u>: pmrmeaeyaert@gmail.com <br><u>Copyright</u>: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com <br><u>Keywords</u>: Europe|France; Europe|France|Hauts-de-France|Nord; Europe|France|Hauts-de-France; Cultural heritage|Monuments|Church; Cultural heritage|Techniques|Sculpture; Europe|France|Hauts-de-France|Nord|Cassel; Cultural heritage|Monuments; Cultural heritage|Techniques; Cultural heritage|Thematic; Cultural heritage|Thematic|Organ; Cultural heritage <br><u>Date of Generation</u>: 2022-02-05T16:31:47+02:00
Parish church (Collégiale Notre-Dame de la Crypte). Interior. The organ. Detail. Wooden statues on top. King David and Saint Cecilia.
<u>File Name</u>: PM_142810_F_Cassel <br><u>Sublocation</u>: Collégiale Notre-Dame <br><u>Location</u>: Cassel <br><u>Province</u>: Hauts-de-France., Nord <br><u>Country</u>: France <br><u>Header</u>: Intérieur, l'orgue de tribune, l'orgue et le buffet ont été transformés en 1821, détail, les statues d'en haut: le Roi David et Sainte Cécile <br><u>Description</u>: Parish church (Collégiale Notre-Dame de la Crypte). Interior. The organ. Detail. Wooden statues on top. King David and Saint Cecilia. <br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Author Mail</u>: pmrmeaeyaert@gmail.com <br><u>Copyright</u>: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com <br><u>Keywords</u>: Europe|France; Europe|France|Hauts-de-France|Nord; Europe|France|Hauts-de-France; Cultural heritage|Monuments|Church; Cultural heritage|Techniques|Sculpture; Europe|France|Hauts-de-France|Nord|Cassel; Cultural heritage|Monuments; Cultural heritage|Techniques; Cultural heritage|Thematic; Cultural heritage|Thematic|Organ; Cultural heritage <br><u>Date of Generation</u>: 2022-02-05T16:34:47+02:00
Parish church (L'église Saint-Pierre). Interior. The organ.
<u>File Name</u>: PM_142759_F_Steenvoorde <br><u>Sublocation</u>: Eglise Saint-Pierre <br><u>Location</u>: Steenvoorde <br><u>Province</u>: Hauts-de-France., Nord <br><u>Country</u>: France <br><u>Header</u>: Intérieur, l'orgue, détail <br><u>Description</u>: Parish church (L'église Saint-Pierre). Interior. The organ. <br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Author Mail</u>: pmrmeaeyaert@gmail.com <br><u>Copyright</u>: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com <br><u>Keywords</u>: Europe|France; Europe|France|Hauts-de-France|Nord; Europe|France|Hauts-de-France; Cultural heritage|Monuments|Church; Cultural heritage|Techniques|Sculpture; Europe|France|Hauts-de-France|Nord|Steenvoorde; Cultural heritage|Monuments; Cultural heritage|Techniques; Cultural heritage|Thematic; Cultural heritage|Thematic|Organ; Cultural heritage <br><u>Date of Generation</u>: 2022-02-05T14:18:53+02:00
Parish church (Collégiale Notre-Dame de la Crypte). Interior. The organ.
<u>File Name</u>: PM_142804_F_Cassel <br><u>Sublocation</u>: Collégiale Notre-Dame <br><u>Location</u>: Cassel <br><u>Province</u>: Hauts-de-France., Nord <br><u>Country</u>: France <br><u>Header</u>: Intérieur, l'orgue de tribune, l'orgue et le buffet ont été transformés en 1821 <br><u>Description</u>: Parish church (Collégiale Notre-Dame de la Crypte). Interior. The organ. <br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Author Mail</u>: pmrmeaeyaert@gmail.com <br><u>Copyright</u>: © Paul M.R. Maeyaert,pmrmaeyaert@gmail.com <br><u>Keywords</u>: Europe|France; Europe|France|Hauts-de-France|Nord; Europe|France|Hauts-de-France; Cultural heritage|Monuments|Church; Europe|France|Hauts-de-France|Nord|Cassel; Cultural heritage|Monuments; Cultural heritage|Thematic; Cultural heritage|Thematic|Organ; Cultural heritage <br><u>Date of Generation</u>: 2022-02-05T16:21:04+02:00
2023 EU Transparency Register - Meta-organizations
<p>For my Research Habilitation Dissertation, I extracted all information from the EU transparency Register</p> <p>There were 12,435 registered organizations as of January 2023 (Source: Transparency Register). On this basis, I attempted to distinguish between meta-organizations and non-meta-organizations. One should keep in mind that this database only concerns organizations and individuals that seek to lobby EU institutions. There are much more meta-organizations worldwide, and many are not concerned with lobbying the EU.</p> <p>I downloaded and organized the database. I added a year column and edited the database in order to identify meta-organizations. There are 13 different categories of organizations or individuals that can be registered: 1) “Academic institutions”, 2) “Associations and networks of public authorities”, 3) “Companies & groups”, 4), “Entities, offices or networks established by third countries”, 5) “Law firms”, 6) “Non-governmental organisations, platforms and networks and similar”, 7) “Organisations representing churches and religious communities”, 8) “Other organisations, public or mixed entities”, 9) “Professional consultancies”, 10) “Self-employed individuals”, 11) “Think tanks and research institutions”, 12) “Trade and business associations”, 13) “Trade unions and professional associations”. </p> <p>Sheet 1 shows the different tables I created for my habilitation. </p>
Transcriptomic atlas reveals organ-specific disease tolerance in sickle cell mice: dataset bone marrow HbAA mice injected or not with heme
<p>The objective of this experiment was to explore the transcriptome of the HbSS Townes mouse model of sickle cell disease. Townes model mice carry several human hemoglobin knock-in genes replacing the endogenous mouse genes and may be useful in studying sickle cell disease. All mice were genotyped, age- and sex-matched littermates. All HbAA (control, normal human hemoglobin) vs HbSS (sickle cell disease, mutated human hemoglobin) mice were used for experimentations at 6-8 weeks of age, to limit intra-group heterogeneity. Hemin (Ferriprotoporphyrin IX) was purchased from Frontiers Scientific and injected intravenously (iv.) in a retroorbital sinus at a concentration of 24 µmol/kg. Control mice received PBS instead. Mice were anesthetized with isoflurane 2-3% for injections, blood collection and sacrifice. All mice were sacrificed by cervical dislocation, 4 hours after injection.</p> <p>This dataset contains the results of the HbAA mice with and without heme.</p> <p>The corresponding HbSS mice with and without heme are deposited under number 10.5281/zenodo.10962782</p> <p>Bone marrow RNA was extracted by Macherey Nagel kit, according to the manufacturer’s instructions. The quality and quantity of mRNA were evaluated using a 2100<br>bioanalyzer with TNA 6000 NanoKits (all Agilent Technologies, Palo Alto, CA, USA). RNA Integrity Numbers superior to 7 were eligible for subsequent reverse transcription into cDNA. RNAseq was performed at the GenomIC plateform Cochin Institute INSERM U1016. After RNA extraction, RNA quality (RNA integrity number) was estimated. 1μg of high-quality total RNA sample (RIN &gt;7) was processed to build up the libraries, using TruSeq Stranded mRNA kit (Illumina) according to manufacturer instructions. Briefly, purified poly-A containing mRNA molecules were fragmented and reverse-transcribed using random primers. Replacement of dTTP by dUTP during second strand synthesis allowed us to achieve strand specificity. Addition of a single A base to the cDNA was followed by ligation of Illumina adapters.<br>Libraries were quantified by qPCR using KAPA Library Quantification Kits for Illumina Libraries (KapaBiosystems, Wilmington, MA). Library profiles were assessed using DNA High Sensitivity LabChip kits on an Agilent Bioanalyzer. Libraries were sequenced on an Illumina Nextseq 500 instrument using 75 base-lengths read V2 chemistry in a paired-end mode. After sequencing, primary analysis based on AOZAN software (ENS, Paris), was applied to demultiplex and control the quality of the raw data (based of FastQC modules / version 0.11.5).</p> <p>The dataset here represents 4 groups of mice, 4 mice per group as follows: HbAA PBS, HbAA heme, HbSS PBS, HbSS heme. </p> <p> </p>
Data for paper publication "Modelling emission and transport of key components of primary marine organic aerosol using the global aerosol-climate model ECHAM6.3–HAM2.3"
<p>The dataset presented here is related to the article by Leon-Marcos et al. 2025: "Modelling emission and transport of key components of primary marine organic aerosol using the global aerosol-climate model ECHAM6.3–HAM2.3" accepted for publication in GMD. It comprises global fields of the FESOM2.1-REcoM3 biogeochemistry model tracers employed to calculate the ocean biomolecule concentration that serve as input data for the aerosol model. Additionally, the ECHAM6.3–HAM2.3 code of the marine aerosol implementation and the required scripts to run the model experiments are provided here. The aerosol-climate model simulation results of the marine aerosol emission, as well as the evaluation of the model results compared to observations, are also included. For further information, please refer to the attached data description. </p> <p> </p> <h2> </h2>
ScienceDex guides
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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.