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12,393 results for “Material”
Data set for the journal article: Colloidal-ALD Grown Metal Oxide Shells Enable the Synthesis of Photoactive Ligand/ Nanocrystal Composite Materials
<p>The data for each figure of the main manuscript is included in this folder.</p> <p>Figure 1 is not included as it contains no data.</p> <p>The folder for Figure 2 contains a sub-folder for the EDX and NMR data of 9-ACA/PbS@AlOx. The NMR data was processed by Mestrenova.</p> <p>The folder for Figure 3 contains optical absorption spectrum data of 9-ACA/PbS@AlOx.</p> <p>The folder for Figure 4 contains NMR data which was processed by Mestrenova. It contains the data for 9-ACA/CuInS2@AlOx, 1-PCA/CsPbBr3@AlOx and 9-PTA/CsPbBr3@AlOx.</p> <p>The folder for Figure 5 is made of three sub-folders for figure 5A, 5B and 5C. 5A and 5B contain optical absorption for the CuInS2 and CsPbBr3 datasets while 5C contain time resolved data for CsPbBr3.</p> <p>The folder for Figure 6 contains time resolved PL for the as synthesized CsPbBr3, 1-PCA/CsPbBr3@AlOx and 9-PTA/CsPbBr3@AlOx. The 9-PTA/CsPbBr3@AlOx data contain two decays that span 200 ns (short) or 13.5 us (long).</p> <p>The folder for Figure 7 contains time resolved PL for the as synthesized 9-PTA/CsPbBr3@AlOx and 1-PCA/9-PTA/CsPbBr3@AlOx. For both samples the data contain two decays that span 200 ns (short) or 13.5 us (long). Also an NMR folder is present with the 1H spectrum for 9-PTA/CsPbBr3@AlOx and 1-PCA/9-PTA/CsPbBr3@AlOx.</p> <p> </p> <p> </p>
Regional scale surface of the top of the Variscan basement in some sector of Italy - Supplementary material
<p>The dataset represent the Supplementary material of thew manuscript entitled "Map of the top of the Variscan basement in some sectors of Italy" now under revision.</p> <p>The Supplementary material consist of 9 files:</p> <ul> <li>input data: <ul> <li>dataset_CROP.csv</li> <li>deep_wells.csv</li> <li>domains.geojson</li> <li>thrusts_2.geojson</li> <li>INA_data_point.csv</li> </ul> </li> <li>output data: <ul> <li>INA_depth_1km.csv</li> <li>ONA_OA_ISA_AF_depth_5km.csv</li> <li>INA_contour.geojson</li> <li>ONA_OA_ISA_AF_contour.geojson</li> </ul> </li> </ul>
nanoindentation data associated with the publication "On the elastic microstructure of bulk metallic glasses" in Materials&Design 2023
<p>This dataset consists of indentation data measured with a conospherical tip in a Hysitron-Bruker TI980 Nanoindenter on the surface of a <100> Silicon wafer and a polished cross-sectional cut of a Zr65Cu25Al10 bulk metallic glass.</p> <p>It is associated with the following publication: <br>Birte Riechers, Catherine Ott, Saurabh Mohan Das, Christian H. Liebscher, Konrad Samwer, Peter M. Derlet and Robert Maass "On the elastic microstructure of bulk metallic glasses" Materials and Design 229, (2023) 111929. https://doi.org/10.1016/j.matdes.2023.111929</p> <p>All experimental information can be found in this paper and in the accompanying supplementary information.</p> <p>This electronic version of the data was published on the "Zenodo Data repository" found at http://zenodo.org/deposit in the community "Bundesanstalt fuer Materialforschung und -pruefung (BAM)".</p> <p>The authors have copyright to these data. You are welcome to use the data for further analysis, but are requested to cite the original publication whenever use is made of the data in publications, presentations, etc. </p> <p>Any questions regarding the data can be addressed to birte.riechers@bam.de who would also appreciate a note if you find the data useful.</p> <p>____________________________________________________________________</p> <p>The data format is defined as described below:</p> <p>In total, Fifteen text files exist that result in five different data sets.</p> <p>Two data sets represent measurements on Silicon, these are specifically the topography (mapped height profile) and indentation modulus (Si-topography.txt and Si-modulus.txt). The connected lateral information of these mapped quantities (i.e. Si-X_topography.txt and Si-Y_topography.txt; Si-X_modulus.txt and Si-Y_modulus.txt). This amounts to six .txt files connected to measurements on Silicon.</p> <p>Three data sets represent measurements on the Zr65Cu25Al10 bulk metallic glass. These are specifically the topography (MG-topography.txt), the indentation modulus (MG-modulus.txt), and the curvature-corrected indentation modulus (MG-curvcorr_modulus.txt). The connected lateral information of these mapped quantities (i.e. MG-X_topography.txt and MG-Y_topography.txt; MG-X_modulus.txt and MG-Y_modulus.txt; MG-X_curvcorr-modulus.txt and MG-Y_curvcorr-modulus.txt). This amounts to nine .txt files connected to measurements on the metallic glass.</p> <p>The files are plain text files with the data points separated by commata. Topography data is stated in units of Nanometer, modulus data is stated relative to its mean as unit-less values.</p> <p>Beside the .txt files, one figure (.pdf) with a plot of each data set is provided for reference, and the python code (Riechers_OnTheElasticMicrostructureOfBulkMetallicGlasses_zenodo.ipynb) generating these figures from the data sets is uploaded to this repository as well.</p>
Supplementary Materials for "Exploration of User Privacy in 802.11 Probe Requests with MAC Address Randomization Using Temporal Pattern Analysis"
<p>Supplementary Materials for "Exploration of User Privacy in 802.11 Probe Requests with MAC Address Randomization Using Temporal Pattern Analysis"</p> <p>This package contains an anonymized packets of 802.11 probe requests captured in in December 2021 at Universitat Jaume I . The packet capture file is in the standardized *.pcap binary format and can be opened with any packet analysis tool such as Wireshark or scapy (Python packet analysis and manipulation package).</p>
A2.2a Digital repositories data citation practices. Supplementary material
<p>Data to complement the quantitative analysis of data citation practices in digital repositories based on metadata records from the re3data.org repositories registry.</p> <p>Data was retrieved using re3data.org API on 23-02-2023 and 06-03-2023 and processed using the OpenRefine software.</p> <p>Part of "A FAIR-enabling citation model for Cultural Heritage Objects" project activities.</p>
FAIR-CHO Citation Model Zotero Group Library Bibliography. Supplementary material
<p>This is a selected bibliography created during the project <em>A FAIR-enabling citation model for Cultural Heritage Objects</em>.</p> <p>This bibliography has been set up via a Zotero Library Group, by organizing it into subject folders representative of the project content. An initial list of descriptors was also defined to 'semantically' label the bibliographic references as they were collected.</p> <p>The dataset represents the Zotero Library on 1st August 2023.</p> <p>The dataset is published in .csv and .ris formats.</p> <p>See also on Zotero Groups: <a href="https://www.zotero.org/groups/4883319/cho_citation_model/library">https://www.zotero.org/groups/4883319/cho_citation_model/library</a>.</p>
Datasets of "Differences in the stool metabolome between vegans and omnivores: analyzing the NIST stool reference material" publication
<p>To gain confidence in results of omic-data acquisitions, methods must be benchmarked by validated quality control materials. We here report data combining both untargeted and targeted metabolomics assays for the analysis of four new human fecal reference materials developed by the U.S. National Institute of Standards and Technologies (NIST) for metagenomics and metabolomics measurements. These reference grade test materials (RGTM) were established by NIST based on two different diets and two different samples treatments: homogenized fecal matter from subjects eating vegan diets, stored and submitted in either lyophilized (RGTM 10162) or aqueous form (RGTM 10171); secondly, homogenized fecal matter from subjects eating omnivore diets, stored and submitted in either lyophilized (RGTM 10172) or aqueous form (RGTM 10173). We used four untargeted metabolomics assays (lipidomics, primary metabolites, biogenic amines and polyphenols) and one targeted assay on bile acids.</p>
Towards near-term quantum simulation of materials
<p><strong>Overview of data provided in support of <em>Towards near-term quantum simulation of materials</em></strong></p> <p>Contents of this folder:</p> <ul> <li>`analyse_materials_results.py`: script used to generate the summary tables and figures presented in the manuscript. </li> <li>`towards_quantum_simulation_data`: raw data used and produced when studying various 3D materials.</li> <li>`towards_quantum_simulation_analysis`: tables (in `.tex` format) and figures (as PDFs) presented in the manuscript.</li> </ul> <p>The contents of `towards_quantum_simulation_analysis` were generated by `analyse_materials_results.py`, <br> i.e. the user need not run the script to produce the output files. <br> Users can generate these analyses directly by running ```python analyse_materials_results.py```, <br> though note the following packages will first need to be installed:</p> <ul> <li>`pandas >= 1.2.3`</li> <li>`numpy >= 1.23`</li> <li>`seaborn >= 0.11.1`</li> <li>`lfig >= 0.1.3`</li> <li>`matplotlib > 3.7.0`</li> </ul> <p><strong>Included data</strong><br> Within `towards_quantum_simulation_data`, there are subfolders <br> for each of the materials described in the manuscript, i.e. `SrVO3`, `GaAs`, `H3S`, `Si`, `Li2CuO2`.</p> <p>Within each material's folder are further subfolders for the `hamiltonian` and `encoding` used to represent the material, as well as subfolders for each of the `algorithms` studied. </p> <ul> <li>`hamiltonian`: files which specify the Hamiltonian for the material under study. There are a number of files <ul> <li>`interactions.json` Hamiltonian terms in terms of Majorana monomials.</li> <li>`map_majorana_to_mode.json` keys are Majorana indices; values are the mode index to which they are associated.</li> <li>`map_mode_to_group.json` keys are mode indices; values are the group (or site) index to which they are associated. </li> <li>`map_group_to_position.json` keys are group indices; values are the corresponding 3D Cartesian coordinates of the lattice used to represent the material. </li> <li>`stage_data.json` contains key/value pairs of any other fields of interest.</li> </ul> </li> <li>`encoding` files which specify the fermionic encoding which is customised for the material under study. <ul> <li>`encoding.json` which details the edges of the hybrid compact encoding described in Section VI of the supplementary material.</li> <li>`precompiler.json` contains all the information which permits the encoding construction, including the Hamiltonian terms (`_interactions`) which match those in `hamiltonian/interactions.json`. <ul> <li>The same mappings as present in the Hamiltonian data(a.g. `map_group_to_position`).</li> </ul> </li> <li>`stage_data.json` contains key/value pairs of any other fields of interest.</li> </ul> </li> <li>`algorithms` contains subfolders for each of the algorithms desribed in the manuscript <ul> <li>Those explored for circuits depths: <ul> <li>`TDSSplitTermsPriorityCircuitDepth` (TDS in the manuscript)</li> <li>`TDSSplitTermsPriorityCircuitDepthNoSwapNetwork` (TDS\*)</li> <li>`VQESplitTerms` (VQE)</li> <li>`VQESplitTermsNoSwapNetwork` (VQE*)</li> </ul> </li> <li>each of which contain the files, inside the `circuitry` folder: <ul> <li>`circuit_terms.csv`, which lists each individual term, together with their Pauli string and rotation angle, required to construct the corresponding quantum circuit </li> <li>`circuit_layers_to_implement.csv` groups the same terms into layers to achieve parallelism in the circuit.</li> <li>`stage_data.json` contains key/value pairs of any other fields of interest.</li> </ul> </li> <li>and those used to compose measurement layers, as outlined in Section VII D of the supplementary material: <ul> <li>`MeasurementCommutativity` </li> <li>`MeasurementNaiveQubitwise`</li> <li>`MeasurementNonCrossing`</li> </ul> </li> <li>each of which contain the files, inside the `compilation` folder: <ul> <li>`layers.csv` lists the terms which may be measured simultaneously to achieve the measurement strategies shown in Table S14.</li> <li>`stage_data.json` contains key/value pairs of any other fields of interest.</li> </ul> </li> </ul> </li> </ul> <p><strong>CSV files</strong></p> <p>In `towards_quantum_simulation_data`, there are unified CSV files containing the results of applying the procedures described in the manuscript to the target materials.</p> <ul> <li>`circuit_costs.csv`: results of running the circuit compiler described in the manuscript.</li> <li>`measurements.csv`: results of running the measurement compiler described in the manuscript.</li> </ul> <p>These CSVs are used in the analysis script `analyse_materials_results.py` to produce the figures and tables presented in the manuscript.</p>
Database of New Phase Change Materials
<p>Database of structural and optical properties of Gallium sulfide (GaS), Antimony sulfide (Sb2S3), Gallium Selenide (GaSe), Selenium (Se), and Molybdenum oxide (MoOx) thin film phase change materials. Contains Raman spectra and room temperature optical constants from spectroscopic ellipsometry for amorphous and polycrystalline phases. Also includes temperature dependent optical constants measured in-situ during thermal annealing to induce crystallization. Thin films fabricated by chemical vapor deposition, exfoliation, and solution processing methods. Provided by the PHEMTRONICS project (Deliverable 2.7).</p>
Dataset for Machine Learning Framework for Modeling Exciton-Polaritons in Molecular Materials
<p>The data consists of several NumPy arrays saved in the binary format (npy files) with a total size of 108 MB. The details of these files are listed below.</p> <table> <tbody> <tr> <td> <p><strong>Filename and path</strong></p> </td> <td> <p><strong>Description</strong></p> </td> </tr> <tr> <td> <p>training/azo_R.npy</p> </td> <td> <p>Coordinates for training</p> </td> </tr> <tr> <td> <p>training/azo_Z.npy</p> </td> <td> <p>Atomic indices for training</p> </td> </tr> <tr> <td> <p>training/azo_E.npy</p> </td> <td> <p>Molecular energies for training</p> </td> </tr> <tr> <td> <p>training/azo_D.npy</p> </td> <td> <p>Transition dipoles for training</p> </td> </tr> <tr> <td> <p>training/azo_ScaledNACR.npy</p> </td> <td> <p>Non-adiabatic coupling vectors scaled by energy difference for training</p> </td> </tr> <tr> <td> <p>scan/azo_R.npy</p> </td> <td> <p>Coordinates for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_Z.npy</p> </td> <td> <p>Atomic indices for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_E.npy</p> </td> <td> <p>Molecular energies for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_D.npy</p> </td> <td> <p>Transition dipoles for PES scan</p> </td> </tr> <tr> <td> <p>scan/azo_ScaledNACR.npy</p> </td> <td> <p>Non-adiabatic coupling vectors scaled by energy difference for PES scan</p> </td> </tr> <tr> <td> <p>spectrum/azo_R.npy</p> </td> <td> <p>Coordinates for spectrum calculations</p> </td> </tr> <tr> <td> <p>spectrum/azo_Z.npy</p> </td> <td> <p>Atomic indices for spectrum calculations</p> </td> </tr> <tr> <td> <p>spectrum/azo_E.npy</p> </td> <td> <p>Molecular energies for spectrum calculations</p> </td> </tr> <tr> <td> <p>spectrum/azo_D.npy</p> </td> <td> <p>Transition dipoles for spectrum calculation</p> </td> </tr> </tbody> </table>
GIS Dataset of Colour and Materials at Het Loo Palace in the Apartments of William III of Orange-Nassau (1713 Inventory)
<p><strong>Abstract</strong></p> <p>The presented datasets concerning the colour choices documented in the 1713 inventory within the two apartments of William III of Orange-Nassau (1652-1702) at Het Loo palace (Apeldoorn) for historical mapping correspond to the article:</p> <p>Bernert, Sara. 'Interior Colour Practices in the Apartments of William III of Orange-Nassau at Het Loo Palace. A New Methodology for Digital Reconstruction through the Use of GIS'. In New Digital Approaches, edited by Krista De Jonge and Sanne Maekelberg, 71–88. PALATIUM, 2023.</p> <p>This methodology deals with the captivating world of interior colour practices in stately apartments within courtly contexts, using the power of digital humanities. The aim is to bridge historical sources, such as palace inventories, with their corresponding spaces with a Geographic Information System (GIS).</p> <p><em>Please see the PDF for further description.</em></p> <p> </p> <p><strong>Dataset Contents</strong></p> <p>The separate CSV sheets and the equivalent Excel workbook<a href="#_ftn2">[2]</a> include:</p> <ul> <li>The datasets of colour carriers, their quantities and described colours by room as noted in the inventory: <ul> <li>Overall colour distribution across both apartments: <ul> <li>In short form for the macro layer of the palace for an over-regional comparison.<a href="#_ftn3">[3]</a></li> <li>And a detailed version of the microlayer of the palace.<a href="#_ftn4">[4]</a></li> </ul> </li> </ul> </li> <li>A separate dataset of the first apartment of William III as it was around 1686, still in his function as Prince of Orange and Stadtholder of Holland, Zeeland, Utrecht, Guelders, and Overijssel.<a href="#_ftn5">[5]</a></li> <li>A separate dataset of the second apartment of William III in the state around 1694, as he had already become King of England.<a href="#_ftn6">[6]</a></li> <li>Precise data on the polygons of the ground plan from 1695.<a href="#_ftn7">[7]</a></li> <li>Furthermore, the key to colour factoring by the space the colour carriers take up within the room, as described in the associated article pp.73-74.<a href="#_ftn8">[8]</a></li> </ul> <p>_______________________________________________________________________________</p> <p><a href="#_ftnref1">[1]</a> The inventory was amongst other inventories of the Orange-Nassau dynasty published in the 1970s and is accessible online: Sophie Wilhelmina Albertine Drossaers and Theodoor Herman Lunsingh Scheurleer, eds., ‘Inventaris van de Inboedel van Het Huis Het Loo, Het Oude Loo En Het Huis Merwel 1713’, in <em>Inventarissen van de Inboedels in de Verblijven van de Oranjes En Daarmee Gelijk Te Stellen Stukken 1567-1795</em>, vol. 1, 3 vols, Rijks Geschiedkundige Publicatiën, GS 147 (Den Haag: Rijks Geschiedkundige Publicatiën, 1974), 647–94, https://resources.huygens.knaw.nl/retroboeken/inboedelsoranje/#source=1&page=686&accessor=toc&view=imagePane&size=877.</p> <p><a href="#_ftnref2">[2]</a> Cf. 2023_HetLoo_1713_WilliamIII_Data_Color_Material_Apartments©Bernert2023</p> <p><a href="#_ftnref3">[3]</a> Cf. 2023_HetLoo_1713_WilliamIII_ColourShort_Both_Apartments_©Bernert2023</p> <p><a href="#_ftnref4">[4]</a> Cf. 2023_HetLoo_1713_WilliamIII_Inventory_Long_Both_Apartments_©Bernert2023</p> <p><a href="#_ftnref5">[5]</a> Cf. 2023_HetLoo_1713_WilliamIII_First_Apartment_©Bernert2023</p> <p><a href="#_ftnref6">[6]</a> Cf. 2023_HetLoo_1713_WilliamIII_Second_Apartment_©Bernert2023</p> <p><a href="#_ftnref7">[7]</a> Cf. 2023_HetLoo_1695_GIS_PolygonData_Spaces_©Bernert2023. The map referred to: Anonymous, <em>Het Loo Palace. Goundplan of the First Floor</em>, around 1695, RL-7596, Het Loo Palace Collection.</p> <p><a href="#_ftnref8">[8]</a> Cf. 2023_GIS_Colour_Counting_Sheet_©Bernert2023 and Sara Bernert, ‘Interior Colour Practices in the Apartments of William III of Orange-Nassau at Het Loo Palace. A New Methodology for Digital Reconstruction through the Use of GIS’, in <em>New Digital Approaches</em>, ed. Krista De Jonge and Sanne Maekelberg, PALATIUM, 2023, 73–74.</p>
Data publication supplementing "Novel nanoindentation strain rate sweep method for continuously investigating the strain rate sensitivity of materials at the nanoscale"
<p>This data publication contains the results of nanoindentation tests on Fused silica, nanocrystalline nickel, a nanocrystalline FeCr alloy, a bulk metallic glass, the superplastic alloy Zn-22%Al and single crystalline aluminum as well as the method files developed for the G200 nanoindenter. It supplements the publication "Novel nanoindentation strain rate sweep method for continuously investigating the strain rate sensitivity of materials at the nanoscale". The materials are described in more detail in the respective publication. The data publication takes over the sample naming convention from the related publication. </p><p>Nanoindentation measurement were performed by H. Holz at the Max-Planck Institut für Eisenforschung GmbH, Max-Planck-Straße 1, 40237 Düsseldorf, Germany using a G200 nanoindenter (KLA, Milpitas, CA, USA), equipped with a modified Berkovich diamond indenter tip of the type 171-561-500 with a serial number of C-0040446 from Synton MDP (Nidau, Switzerland). Constant strain rate tests, strain rate jump tests, strain rate sweep tests and strain rate sweep reversal tests were performed on each material in Continuous Stiffness Measurement (CSM) mode. The maximum indentation depth was 2200 nm, the CSM amplitude 2 nm and the CSM frequency 45 Hz. Strain rates were varied within the range 0.001 – 0.1 s-1. Further information on the test protocol can be found in the corresponding publication.</p><p>The subfolder "Nanoindentation data" contains the raw data for all valid indents as output by the NanoSuite © software v 7.1.7 and converted to the semicolon-separated format. The naming convention for the folder in which the CSV files are located in gives first the used material, then the method used with additional information to the parameters inputted for the method such as strain rate and indentation depth all separated by an underscore. An example can be "FS_CSR_01s-1" for a constant strain rate tests performed on fused silica with a strain rate target of 0.1 s-1 or "Nc-Ni_SweepReversal_005s-1_0005s-1" for a sweep reversal test performed on the nanocrystalline nickel sample with a targeted initial and ending strain rate of 0.05 s-1 and a strain rate target at which the strain rate direction gets reversed of 0.005 s-1. The CSV files are named either "Results" giving the average results of each test, "Required Inputs" giving information about the parameters used for the experiments, "Inputs Editable Post Test" giving information about the analysis parameters to obtain the results from, and "Test XXX" which include the Raw data of the corresponding test number. In each file the first row gives the data description e.g., "Time", the second row the physical unit e.g., "s" for seconds and from the third row the measured values.</p><p>The Nano Suite method files to perform the experiments on KLA G200 instruments is provided in the folder "G200 methods". The method for the strain rate sweep experiments is called "Strain Rate Sweep.msm" and the method for the strain rate sweep reversal experiments "Strain Rate Sweep Reversal.msm". This method is provided as is and shall be used at your own risk. The authors explicitly decline responsibility for any physical or immaterial damage resulting from the use of this method. Should minor issues occur, some feedback to the authors would be greatly appreciated.</p>
Course Materials for Environmental Data Science in R: Introduction to Data Integration and Machine Learning (ENV 730)
In today's world, understanding environmental data and making informed decisions based on it is crucial for addressing complex environmental challenges. Yale School of the Environment's Environmental Data Science in R: Introduction to Data Integration and Machine Learning (ENV 730) course serves as an introduction to the integration of environmental data using R programming language, coupled with machine learning techniques. This dataset contains a zip file with all the data files used in this course, along with a README that has the metadata for those files.
Effects of marsh periwinkle (Littoraria irrorata) size and density on cordgrass (Spartina aterniflora) biomass and dead standing material
Marsh periwinkles (Littoraria irrorata) are common in southeastern US salt marshes, including those on Sapelo Island, GA. They are known to affect the productivity of cordgrss (Spartina alterniflora) and also contribute to its decomposition following senescence. The population struture of Littoraria, in terms of the size and densities of individuals, varies widely in space and time. No previous experiments have, however, attempted to manipulate the density and body size of populations of Littoraria and assessd the response of Spartina. We perforned such an experiment in Airport Marsh on Sapelo Island, using small experimental enclosures and measured Spartina biomass and dead standing material after 3 months (mid July - mid Oct, 2012). We assessed response variables by removing all Spartina material from plots before seperating and drying them in the lab.
Supplemental materials of the Castaño-Sánchez et. al. (2023) article (Agricultural Systems) containing the IFSM model input parameters not included in the main text, and the Criollo ranches survey form
CONTEXT: The southwestern United States is experiencing an increasingly warmer and drier climate that is affecting cattle production systems of the region. Adaptation strategies are needed that will not compromise environmental quality or profitability. Options include the use of desert-adapted beef cattle biotypes, such as Rarámuri Criollo cattle, and crossbreds of Criollo with more traditional British breeds. Currently, most calves raised in the Southwest are grain finished, often with irrigated crops produced in the hydrologically-threatened Ogallala Aquifer region. A viable alternative may be grass finishing with the rainfed forage of the arid and semi-arid rangeland of the Southwest or in the temperate grasslands of the Northern Plains. OBJECTIVE: Compare the environmental impacts and production costs of grain-finishing in Texas and grass-finishing in the Northern plains and the Southwest with traditional Angus cattle vs. Criollo and Criollo x Angus cattle. METHODS: Nine supply chain strategies were simulated using the Integrated Farm System Model to compare farm-gate life cycle intensities of greenhouse gas emissions (carbon footprint), fossil energy footprint, nitrogen footprint, blue water footprint and production costs using representative (appropriate soils, climate, and management) ranch and feedlot operations. RESULTS AND CONCLUSIONS: For both finishing options (grass, grain), Criollo x Angus cattle had the best environmental (3%-27% lower), and production cost (4-23% lower) outcomes followed by pure Criollo and then Angus cattle. Crossbred production combined the lower feed supplementation requirements of Criollo cows with heavier final carcasses of offspring from Angus genetics. Crossbred cattle with grass finishing in the Southwest or Northern Plains outperformed on most environmental variables as well as production costs, mostly due to reduced external input requirements (primarily feed). A downside for grass-finished crossbreds was greater carbon fo
OLGenie Supplementary Material
<p>OLGenie is a tool for estimating natural selection to predict functional overlapping genes. Manuscript available at <a href="https://academic.oup.com/mbe/article/37/8/2440/5815567"><em>Molecular Biology and Evolution</em></a>. Software and example data are freely available at <a href="https://github.com/chasewnelson/OLGenie">https://github.com/chasewnelson/OLGenie</a>.</p>
Mahurjhari or Mahurzari महुरझरी (Maharashtra). Raw material for carnelian from ancient quarry.
<p>Mahurjhari or Mahurzari महुरझरी (Maharashtra). Raw material for carnelian from ancient quarry. </p>
Evaporation of materials from the molten salt reactor fuel under elevated temperatures - Dataset
<p>The release of fission product and salt compounds from a molten salt reactor fuel under accident conditions was investigated with coupled computer simulations. The thermodynamic modeling of the salt and fission product mixture was performed in The Gibbs Energy Minimization Software GEMS and the obtained compound vapor pressures were exchanged with the severe accident code MELCOR, where the evaporation from a salt surface located at the bottom of a confinement building was simulated. The fuel salt considered in the simulations was LiF-ThF<sub>4</sub>-UF<sub>4</sub> with fission products Cs and I. The composition of the fuel salt material was obtained from an equilibrium fuel cycle simulation of the salt using the EQL0D routine coupled to the Serpent 2 code. The results were compared to simulations using pure compound vapor pressures in the evaporation simulations. It was observed that by modeling the salt mixing the release of fission products and salt materials was reduced when compared to the pure compound simulations. The mixing effects in the salt, when compared to the pure compound simulation also affected evaporation temperatures and therefore the timing of the release of compounds. In an additional simulation in which the depressurization of the confinement was considered, the total evaporated mass of compounds increased due to increased mass transfer at the salt surface. The simulation process described in this paper can be used for a more comprehensive accident analysis of molten salt reactors once the detailed description of the reactor confinement and accident sequences are available and more fission product elements have been added to the analysis.</p>
Dynamic meta-analysis: a method of using global evidence for local decision making (supplementary materials)
<p>Dynamic meta-analysis: a method of using global evidence for local decision making (supplementary materials)</p>
Where does subduction initiate and cease? A global scale perspective (Supplementary material)
<p>Supplementary material for Where does subduction initiate and cease? A global scale perspective</p>
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.