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6,059 results for “Journale”
Data from the journal article "Individual versus combined effects of warming, elevated CO2 and drought on grassland water uptake and fine root traits"
<p>This data file contains all data used in the aforementioned article (DOI: 10.1111/pce.15274). The data was obtained in a long-term multifactor global-change experiment (‘ClimGrass’) in a managed (three cuts, fertilized) C3 grassland near the central European Alps in Styria, Austria (47°29′44.6″N, 14°5′54.6″E). Grassland plots were exposed to six treatments: (i) ambient conditions (control; n = 8); (ii) drought (n = 4); (iii) warming (n = 3); (iv) elevated CO2 (n = 3), (v) future conditions (warming and elevated CO2; n = 3); and (vi) drought in future conditions (warming, elevated CO2 and drought; n = 4). The experiment was conducted during the growing seasons of 2017, 2019, and 2020. The aim was to determine how warming, elevated CO2 and drought individually and interactively affected root water uptake (RWU, calculated from soil water dynamics) as well as the corresponding mass and key traits (specific root length (SRL); specific root area (SRA); mean diameter) of newly produced fine roots (extracted using ingrowth cores) and biomass allocation (fine-root-to-shoot production ratios; R/S ratios). Treatment effects on RWU were studied across varying conditions of soil water content (SWC) and vapour pressure deficit (VPD), referred to as dryness conditions. Fine root characteristics were compared to the maximum hourly in-situ RWU observed. </p> <p>The following data is contained in this file (processed as described in the journal article and, importantly, in the supplementary information):<br>- data_SWC: SWC and precipitation, used to calculate RWU (resolution: hourly; figures: 1)<br>- data_RWU_daily: RWU for the main rooting horizon, fractions of total RWU across depth (resolution: daily; figures: 1, 2, 3)<br>- data_RWU_hourly: RWU for the main rooting horizon, SWC, VPD (resolution: hourly; figures: 1, 4, 5)<br>- data_FineRoots: Mass, traits (SRL, SRA, diameter) and maximum hourly RWU of newly produced fine roots across depth, R/S ratios (resolution: three samplings per growing season; figures: 6, 7)</p> <p>The metadata.xlsx file summarizes the contents of these datasets, including units and descriptions of the variables.</p> <p>Note below: the name of the project funded by the Austrian Academy of Sciences is ClimGrassHydro.</p>
Data archive for the peer-reviewed journal article "Online measurements during simulated atmospheric aging track the strongly increasing oxidative potential of complex combustion aerosols relative to their primary emissions"
<p>This data archive accompanies the article "Online measurements during simulated atmospheric aging track the strongly increasing oxidative potential of complex combustion aerosols relative to their primary emissions", which was accepted in November 2024 in the peer-reviewed journal Environmental Science and Technology Letters. The data archive contains the processed OP_DTT, PM loading, oxidant level, and elemental ratio measurements presented in this journal article. </p>
Journal of Hymenoptera Research: Journal of Hymenoptera Research (831)
The Journal of Hymenoptera Research is a peer-reviewed, open-access, rapid online journal launched to accelerate research on all aspects of Hymenoptera, including biology, behavior, ecology, systematics, taxonomy, genetics, and morphology. All published papers can be freely copied, downloaded, printed and distributed at no charge for the reader. Authors are thus encouraged to post the pdf files of published papers on their homepages or elsewhere to expedite distribution. There is no charge for color. ISSN 1314-2607 (online) | ISSN 1070-9428 (print)<p></p>The Journal of Hymenoptera Research is a peer-reviewed, open-access, rapid online journal launched to accelerate research on all aspects of Hymenoptera, including biology, behavior, ecology, systematics, taxonomy, genetics, and morphology. All published papers can be freely copied, downloaded, printed and distributed at no charge for the reader. Authors are thus encouraged to post the pdf files of published papers on their homepages or elsewhere to expedite distribution. There is no charge for color. ISSN 1314-2607 (online) | ISSN 1070-9428 (print)
Selected biological journal names and sample bibliography databases
<p>This 3rd version contains a full backup of X Dong's bibliographic files entered in BiBTeX format; it also includes an update of the three journal name database files (with over 4800 multidisciplinary journal names). Each of the bibliographic files is a collection of references under a certain topic, but sometimes the references were gathered in a specific file just for convenience of writing a specific manuscript. One may combine all the bibliographic files (with about 4000 references) into one .bib file, but beware that sometimes there are duplications, which can lead to LaTeX to complain during compilation. To prevent that from happening again, one may go back to remove the duplicated entries. Like the previous versions, for journal articles, only the nicknames of the respective journals are used in all of the bibliographic files. This assumes the bibliographic files will be used along with one of the three journal name database files (always list the journal name database file first; see description of Version 1).</p> <p>### <br>compens -- references related to root water uptake compensation<br>cotton_drought -- related to plant drought tolerance, in particular of cotton <br>cover -- related to cover crops<br>Ghg -- related to greenhouse gas flux/management/measurement etc., from natural or managed ecosystems<br>Ghg_Ai -- additional references related to greenhouse gas<br>gpr -- related to ground penetrating radar application to agriculture<br>guayule -- related to the study of guayule, a natural rubber plant native to the Chihuahuan desert<br>hemp -- related to industrial hemp, esp. physiology and agronomy<br>JLong -- the journal name database with full journal names <br>Jshort -- the journal name database with abbreviated journal names <br>Jshort_dod -- the journal name database with abbreviated journal names and a period<br>leaf_wax -- related to leaf wax<br>Mycorr -- related to mycorrhizae<br>onion_water -- related to water stress and irrigation scheduling of onion<br>opt1 -- related to optimization, esp. mathematical modeling applications in biology and agriculture<br>pv -- related to pressure-volume curves for studying plant water relations<br>RainPulse -- related to variations of rainfall in natural ecosystems<br>Root-dist -- related to plant root distribution<br>Stat_Mod -- related to statistical modeling and its applications in biology and agriculture<br>XDref -- a collection of miscellaneous references </p> <p> </p> <p> </p> <p> </p> <p> </p>
Crossref relationships between preprints and journal articles
<p>This dataset contains preprint-journal article relationships deposited by publishers with Crossref and/or discovered by an automated preprint matching strategy. It includes preprints and journal articles deposited until the end of February 2025. The following fields are included:</p> <ul> <li>preprint DOI (string)</li> <li>journal article DOI (string)</li> <li>whether the publisher of the journal article deposited this relationship (boolean)</li> <li>whether the publisher of the preprint deposited this relationship (boolean)</li> <li>the confidence score returned by the strategy (float, empty if the strategy did not discover this relationship)</li> </ul> <p>The code of the preprint matching strategy is available <a href="https://gitlab.com/crossref/labs/marple/-/tree/main/strategies_available/preprint_sbmv">here</a>.</p>
Data and scripts for Journal of Geophysical Research – Earth Surface publication: Identification of debris-flow channels using high-resolution topographic data: A case study in the Quebrada del Toro, NW Argentina
<p>This data source contains scripts and data associated with the JGR Earth Surface publication <strong>“Identification of debris-flow channels using high-resolution topographic data: A case study in the Quebrada del Toro, NW Argentina”</strong> by A. Mueting, B. Bookhagen, and M. R. Strecker. The Digital Elevation Model (DEM) of the lower part of the Quebrada del Toro and Río Capilla catchment in the NW Argentinian Andes was generated from SPOT-7 tri-stereo images using Ames Stereo Pipeline. The final dataset has a spatial resolution of 3 m. A full description of the DEM generation process and accuracy assessment can be found in the associated paper. The scripts are also available at https://github.com/UP-RS-ESP/DEM_ConnectedComponents.</p>
Data Supplement for 'Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow' - Wind Energy Science Journal
<p>Data Supplement for 'Curled Wake Development of a Yawed Wind Turbine at Turbulent and Sheared Inflow' - Wind Energy Science Journal</p> <p>This database contains the measurement using a model wind turbine with 0.6m diameter(D) in a wind tunnel. A short-range Lidar WindScanner facilitated mapping the wake with a high spatial and temporal resolution in vertical, cross-stream planes at different downstream locations and in a horizontal plane at hub height.</p> <p>The measurement campaign was conducted in the large wind tunnel at ForWind-University of Oldenburg. The wind tunnel has a test section cross-section with the dimensions of 3m x3m. For this study three movable test section elements of 6m length were attached for a total enclosed length of 18m. The roof of the test section was adjusted to compensate for boundary layer growth to achieve a zero pressure gradient for the target wind speed of the experiments, nominally 7.5m/s, with an empty tunnel with no grid or turbine installed. The three-bladed MoWiTO 0.6 wind turbine model(Schottler et al.(2016)), with a hub height (h) of 0.77m and a diameter of 0.58m was placed at a distance of 2.4D downstream of the test section inlet, where the distance was measured to the centre of the rotor. In addition, the distance between the rotor center and the tower center is 110mm.<br> The flow blockage, based on rotor swept area and tower flow-facing area, was 2.7%. The wind turbine controller is based on the torque of the generator (Petrovi ́c et al. (2018)) leading to a tip speed ratio of 5.7 at the operational point during non-misaligned cases with no grid. More information can be found in the paper.</p> <p>The folder contains 12 unique .mat files each containing a matlab structure. The matlab structure conatins the vertical and horizontal scan for each inflow and operational condition:<br> With the upstream turbine installed:<br> - Yaw0_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> - Yaw30_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal<br> - Yawneg30_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D, Horizontal</p> <p> - Yaw0_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yaw30_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yawneg30_Uniform_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal </p> <p> - Yaw0_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yaw30_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal<br> - Yawneg30_BoundaryLayer_PassiveGrid<br> - 1D, 2D, 3D, 5D, 7D, 10D, Horizontal </p> <p>Without the upstream turbine installed:<br> - NoTurbine_Uniform_NoGrid<br> - 1D, 2D, 3D, 5D, 13D, 16D<br> - NoTurbine_Uniform_PassiveGrid<br> - 0D, 1D, 2D, 3D, 5D, 7D, 10D<br> - NoTurbine_BoundaryLayer_PassiveGrid<br> - 0D, 1D, 2D, 3D, 5D, 7D, 10D </p> <p>Within each substructure the following parameters are provided:<br> - v_los [m/s] ----------> Line of sight velocity<br> - sigma [m/s] ----------> Spectrum width<br> - x_Global_frame [m] ---> x-coordinate referenced at the lower grid midpoint<br> - y_Global_frame [m] ---> y-coordinate referenced at the lower grid midpoint<br> - z_Global_frame [m] ---> z-coordinate referenced at the lower grid midpoint<br> - xx [m] ---------------> Grid of the x-coordinate referenced at the lower grid midpoint<br> - yy [m] ---------------> Grid of the y-coordinate referenced at the lower grid midpoint<br> - zz [m] ---------------> Grid of the z-coordinate referenced at the lower grid midpoint<br> - uu [m/s] -------------> Horizontal wind speed at the position of the gridded coordinates, these data have been interpolated onto the grid<br> </p> <p>When using this database please reference to the journal paper.</p> <p>All data has been included without warranty, express or implied.</p> <p>For further questions, please contact the corresponding author.<br> </p>
Submission and acceptance data for journals involved in the Taylor & Francis FAIR data pilot
<p>Submission, acceptance and peer review data for journals involved in the Taylor & Francis FAIR data pilot. Data is anonymised. Includes journal article submissions, acceptances and peer review for the years 2018, 2019 and 2020.</p>
Fig. 3 in European Journal of Taxonomy: a deeper look into a decade of data
Fig. 3. Capacity production of European Journal of Taxonomy.
letter to the New England Journal of Medicine: COVID-19 mortality data perplexity
<p>Una explicación para todos los públicos:</p> <p>Lo que he hecho es ver los muertos por COVID-19 declarados por los organismos gubernamentales antes y después de que comience la intervención farmacológica con los productos que se han dado en llamar vacunas por los medios de comunicación y los gobiernos. Primero he considerado el periodo completo de 2020 hasta la "vacunación" y el periodo desde el comienzo de la vacunación hasta el final de los datos (7 de enero 2022). El comienzo es un poco distinto para cada país. Reino Unido y USA comenzaron a principios de diciembre 2020 con gran aparato mediático. Otros no empezaron hasta marzo 2021. Para cada país he calculado el incremento relativo de mortalidad.</p> <p>El resultado es que una gran mayoría tiene incremento positivo: más muertos COVID-19 durante la intervención farmacéutica que antes (2020). En particular USA tiene un incremento considerable. Un test estadístico estándar confirma que la diferencia es significativa, o sea que no podemos afirmar que "no hay diferencia en la mortalidad COVID-19 antes y después del comienzo de la intervención farmacéutica". Por otro lado podemos decir que hay "razones de sobra" para afirmar que hay más muertos COVID-19 durante la "vacunación" que antes de que se comenzara a inocular a las personas.</p> <p>La revista ha comprobado los cálculos y no dicen en su respuesta que sean incorrectos. Ergo, no han falsificado lo que digo en la letter. </p> <p>En segundo lugar he considerado la pregunta ¿hay algún periodo de tiempo en el que la "vacunación" ha conseguido una disminución efectiva de la mortalidad COVID-19?</p> <p>Pudiera ser que al principio de la operación de intervención farmacéutica durante unos días se apreciara un efecto importante de la "vacunación" en forma de descenso de la mortalidad COVID-19, coincidiendo con la afirmación de las empresas de que los anticuerpos generados son fuertes al principio y se van debilitando, con la recomendación actual de "reforzar" con una nueva dosis al cabo de tres o cuatro meses. (curiosamente, el discurso oficial es que ahora han disminuido los casos graves gracias a unas inyecciones que se hicieron hace seis meses o más ¿no contradice lo anterior?)</p> <p>Para intentar responder a la pregunta, he considerado periodos de tiempo simétricos en torno al comienzo de la "vacunación" o sea, un día antes y un día después, dos días antes y después, y así hasta 300 días antes y después del comienzo de las inyecciones. Al hacer tests estadísticos, se encuentra que no hay efecto significativo desde el punto de vista estadístico (p-value < 0.01) hasta pasados más de 140 días, y para periodos mayores de 140 días la conclusión es que hay más muertos COVID-19 durante la "vacunación" que antes (estadísticamente significativo con p-value < 0.01). Hasta los 140 días, los resultados son que no se puede descartar que mortalidad COVID-19 antes y después tienen la misma mediana y que, por tanto, son indistinguibles estadísticamente.</p> <p>En palabras llanas, no se nota diferencia hasta más o menos 140 días y después la conclusión clara es que hay más muertos COVID-19 durante la "vacunación" que antes (en 2020). Otra vez, la revista no puede decir que los cálculos son incorrectos, por lo que simplemente indican que "no es de interés". No sé si esta calificación sería compartida por la población en general. Evidentemente, para los gobernantes estos datos y resultados son bastante "incómodos".</p> <p>La mayor limitación de este pequeño estudio es el conjunto de datos de base. Se puede argumentar sobre su inexactitud. De hecho una de las mayores inexactitudes es la declaración de comienzo de la "vacunación". Muchos países estaban vacunando antes de la fecha que aparece en OWID. De hecho, estaban vacunando a personas de riesgo o personal sanitario y auxiliar en sitios como residencias. Ajustando estas fechas, los resultados serían todavía más desfavorables para los productos sanitario. Otro ejemplo es China, cuya declaración de mortalidad es simplemente nula a partir de una fecha. No he intentado correcciones, simplemente he tomado los datos como lo he hecho con todos los demás países. Otra de las posibles inexactitudes son las primeras olas en países europeos y algunos estados de USA, en las que un estado de panico general y otras causas posibles pudieron influir en una fuerte sobre diagnosis de COVID-19, especialmente en las residencias de ancianos. Tampoco he hecho ningún intento de corrección, sino que he tomado los datos tal cual. Habrá otras limitaciones de las que no soy consciente.</p> <p>El test utilizado es el "Wilkinson rank sum" que no asume una distribución parametrizada de los datos, por lo que podemos estar bastante seguros de que no estoy introduciendo trucos estadísticos. </p> <p><strong>Importante</strong>: no estoy hablando de muertes producidas/declaradas por vacunas, aunque muchos muertos COVID-19 estaban "vacunados" durante 2021. No es hasta fechas recientes que los gobiernos han comenzado a precisar el estado "vacunal" de los muertos COVID-19, fundamentalmente como parte de la campaña de acoso a las personas "no vacunadas". Parece que las estadísticas recientes no son favorables a la estrategia gubernamental, por lo que los datos se van cubriendo de un velo de misterio.</p> <p><strong>En conclusión, la comparación de la mortalidad COVID-19 antes y después del comienzo de la "vacunación" más masiva de la historia de la humanidad (hasta ahora) no permite afirmar que las "vacunas" han disminuido la mortalidad COVID-19 hasta la fecha de los datos recogidos de OWID.</strong></p> <p> </p> <p>***** ******* **********</p> <p>Content:</p> <p>Data downloaded from Our World in Data at January 07, 2022</p> <p>Source code for the analysis and visualization </p> <p>submitted figure </p> <p>submitted letter</p> <p>response from the journal</p>
Data for the journal article "Brown Carbon from Biomass Burning Imposes Strong Circum-Arctic Warming"
<p>The data for the 3 figures in the journal article "Brown Carbon from Biomass Burning Imposes Strong Circum-Arctic Warming"</p>
Supplementary scripts and data for Bastin et al.: Atlantic Equatorial Deep Jets in Argo Float Data, Journal of Physical Oceanography
<p>Analysis scripts used to obtain the results in the paper</p> <p>Bastin, S., M. Claus, P. Brandt and R. J. Greatbatch: Atlantic Equatorial Deep Jets in Argo Float Data. Submitted to Journal of Physical Oceanography.</p>
A dataset of scholarly journals in wikidata : (selected) external identifiers
<p> </p> <p><strong>For an updated list , see </strong></p> <p><a href="https://github.com/almugabo/openalex_qa/blob/main/coverage/OpenAlex_venues.md">Matching OpenAlex venues to Wikidata identifiers</a></p> <p><strong>Motivation : the selective/Inclusive approach in bibliometric databases </strong></p> <p>An important difference between bibliometric databases is their “<em>inclusion policy”</em>. </p> <p>Some databases like Web Of Science and Scopus select the sources they index, while others like Dimensions and OpenAlex are more inclusive (they index for example all data from a given source such as Crossref). </p> <p><a href="https://doi.org/10.1162/qss_a_00018">WOS</a></p> <p>“<em>selectivity remained a hallmark of coverage because Garfield had decided early on to focus on internationally influential journals.” (...)</em>.” </p> <p><a href="https://doi.org/10.1162/qss_a_00019">SCOPUS </a></p> <p>“<em>Serial content (i.e., journals, conference proceedings, and book series) submitted for possible inclusion in Scopus by editors and publishers is reviewed and selected, based on criteria of scientific quality and rigor. This selection process is carried out by an external Content Selection and Advisory Board (CSAB) of editorially independent scientists, each of which are subject matter experts in their respective fields. This ensures that only high-quality curated content is indexed in the database and affirms the trustworthiness of Scopus</em>”</p> <p> </p> <p><a href="https://doi.org/10.1162/qss_a_00020">Dimensions </a></p> <p><em>We have decided to take an “inclusive” approach to the publications we index in Dimensions. We believe that Dimensions should be a comprehensive data source, not a judgment call, and so we index as broad a swath of content as possible and have developed a number of features (e.g., the Dimensions API, journal list filters that limit search results to journals that appear in sources such as Pubmed or the 2015 Australian ERA</em><em>6</em><em> journal list) that allow users to filter and select the data that is most relevant to their specific needs.</em></p> <p><br> <br> <strong>Using wikidata to enable the filtering of “ venues subsets” in OpenAlex </strong></p> <p> </p> <p>We are interested in creating subsets of venues in OpenAlex (for example for comparative analysis with inclusive databases or other use cases). This would require matching identifiers of OpenAlex venues to other identifiers. </p> <p>Thanks to WikiCite, a project to record and link scholarly data, Wikidata has a large collection of metadata related to Scholarly journals. This repository provides a subset of the scholarly journals in Wikidata, focusing mainly on external identifiers.</p> <p>The dataset will be used to explore the extent to which wikidata journal external identifiers can be used to select the content in OpenAlex. </p> <p>(see here an <a href="https://github.com/almugabo/open_metadata/wiki/Journals">list of openly available lists of journals </a>)</p> <p><strong>Dataset creation & Documentation </strong></p> <ul> <li> <p>Wikidata dump from 2022-02-21</p> </li> <li> <p>Extract entities with following properties: </p> <ul> <li> <p>https://www.wikidata.org/wiki/Q5633421 # scientific journal (Q5633421)</p> </li> <li> <p>https://www.wikidata.org/wiki/Q737498 # academic journal (Q737498)</p> </li> </ul> </li> <li> <p>Extract the properties related to (selected) external identifiers </p> </li> </ul> <p> </p> <p>Some numbers : </p> <p>Number of journals in wikidata : 113,797 ; With issn_l 95,888 , With OpenAlex_venue id : 29,150</p> <p><strong>external identifiers</strong></p> <p>https://www.wikidata.org/wiki/Property:P236 # ext_id_issn</p> <p>https://www.wikidata.org/wiki/Property:P7363 # ext_id_issn_l</p> <p>https://www.wikidata.org/wiki/Property:P8375 # ext_id_crossref_journal_id</p> <p>https://www.wikidata.org/wiki/Property:P1055 # ext_id_nlm_unique_id</p> <p>https://www.wikidata.org/wiki/Property:P1058 # ext_id_era_journal_id</p> <p>https://www.wikidata.org/wiki/Property:P1250 # ext_id_danish_bif_id</p> <p>https://www.wikidata.org/wiki/Property:P10283 #ext_id_openalex_id</p> <p>https://www.wikidata.org/wiki/Property:P1156 # ext_id_scopus_source_id</p> <p><br> <strong>Indexing services</strong></p> <p>https://www.wikidata.org/wiki/Property:P8875</p> <p>https://www.wikidata.org/wiki/Q371467 # Scopus</p> <p>https://www.wikidata.org/wiki/Q104047209 # Science Citation Index Expanded</p> <p>https://www.wikidata.org/wiki/Q22908122 # Emerging Sources Citation Index</p> <p>https://www.wikidata.org/wiki/Q1090953 # Social Sciences Citation Index</p> <p>https://www.wikidata.org/wiki/Q713927 # Arts and Humanities Citation index</p> <p> </p> <p> </p> <p> </p> <p> </p>
International Journal of Economics and Management Sciences
<table> <tbody> <tr> <td>International Journal of Economics and Management Sciences (IJEMS) is a double blinded reviewed open access journal published bimonthly. Our journal welcomes scientific productions in all areas of economics and management sciences, both theoretical and applied studies will be taken in consideration for evaluation and publication. All research methodologies are welcome. The main objective of our journal is to publish articles that have a significant managerial and theoretical contributions. <p>Our journal receives contributions from both researchers and professionals in the following areas:</p> <p>- Management <br> - Economics</p> </td> </tr> </tbody> </table>
CESM1-SOM Climatologies used for "Climate Sensitivity is Sensitive to Changes in Ocean Heat Transport" (published in Journal of Climate, Mar 2022)
<p>CESM1-SOM climatologies.</p> <p>Pre-industrial control run = SOM_Control.cam5.0030-0059.ann.nc</p> <p>CO2-doubling experiments:</p> <ul> <li>OHT + 30% = SOM_OHFC_P30_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT + 15% = SOM_OHFC_P15_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>Control OHT = SOM_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT - 15% = SOM_OHFC_M15_2XCO2_032019.cam5.0030-0059.ann.nc</li> <li>OHT - 30% = SOM_OHFC_M30_2XCO2_032019.cam5.0030-0059.ann.nc</li> </ul>
Identified journal descriptor (JD), semantic type (ST), and MAUI keywords for PubMed/MEDLINE articles
<p>The Journal descriptor (JD) and Semantic type (ST) of PubMed articles were identified using a tool, called Journal descriptor indexing (JDI).</p> <p>MAUI keywords are identified by the MAUI tool and they can be used as a complement to MESH terms, as MeSH keywords are not always available in all PubMed articles.</p> <p>The methods of building the datasets can be found in the two articles: "Author name disambiguation in MEDLINE based on journal descriptors and semantic types" and " Exploring author name disambiguation on PubMed-scale"</p> <p>The PubMed database used is the 2019 baseline version, the number of articles in the two datasets are as follows:</p> <p>$ wc -l pubmed-paper-jd-st.tsv <br> 29796281 pubmed-paper-jd-st.tsv</p> <p>$ wc -l pubmed-paper-maui-keywords.tsv <br> 26509210 pubmed-paper-maui-keywords.tsv<br> </p>
Supplementary material for paper "Contribution of the wind and Loop Current Eddies to the circulation in the southern Gulf of Mexico" submitted to journal of Ocean Dynamics
<p>Movie including the time evolution of the daily SSH and surface velocity vector fields in the BoC, the meridional velocity in the CG zonal section, meridional velocity in the 22°N zonal section, the vq sections at 22°N, the time series of PVF2 and CPFV2 and the time series of daily transport through the CG western arm.</p>
Simulation Results of the Paper entitled "The Design of a Zone-Picking System with Cooperation Area between Neighboring Zones and Its Cooperation Methods" (submitted to International Journal of Production Research)
<p>Simulation Results of the Paper entitled “The Design of a Zone-Picking System with Cooperation Area between Neighboring Zones and Its Cooperation Methods” (submitted to International Journal of Production Research)</p>
SUPORTING MATERIAL OF PAPER "Observing temperature reliably using passively ventilated radiation shields and a regression-based method to improve accuracy" under revision to the journal "Bulletin of atmos. science and technology"
<p>SUPORTING MATERIAL OF PAPER "<strong>Observing temperature reliably using passively ventilated radiation shields and a regression-based method to improve</strong> <strong>accuracy" under revision to the journal "Bulletin of atmos. science and technology"</strong></p> <p><strong>Contains data from 01 June to 03 Sep 2020, Graph 1-7 of radiation error versus factor X for shields 1 to 07</strong></p>
Datatset associated to Journal of Marine Systems submission : Ms. No. MARSYS-D-21-00246R1
<p>Individual growth increment measurements (µm) of the 21 live collected <em>A. islandica</em> used in the publication entitled : "The 18.6-year lunar nodal cycle may affect ecosystems on the Northwest Atlantic continental shelves". All information regarding data acquisition are presented in the section "2. Construction of <em>Arctica islandica </em>master chronology" of the article submitted to Journal of Marine Systems.</p> <p>Data are presented as a "Tucson File" which is a standard format for tree-ring dataset (see : <a href="http://www.cybis.se/wiki/index.php?title=Tucson_format">http://www.cybis.se/wiki/index.php?title=Tucson_format</a> for a precise description).</p> <p> </p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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.