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8,537 results for “Openness”
UCLM_UJA_OPEN_Pesticides Copper Data SOIL O-LIVE PROJECT 2024 RP1
<p>Database with Pesticides and Copper Data within the frame of the WP2 Diagnosis phase in SOIL O-LIVE PROJECT</p>
Gentsch et al.:Soil nitrogen and water management by winter-killed catch crops. Open data and R scripts.
<p>The file contains metadata on catch crop biomass, soil water contents, and ammonia and nitrate contents in different soil depth from the CATCHY experimental field site Asendorf. R scripts are provided for statistic evaluation of the metadata, plots for publication and spatiotemporal visualization. The article to this data set ist published in the lournal SOIL from Copernicus publisher: <a href="https://soil.copernicus.org/articles/8/269/2022/">https://soil.copernicus.org/articles/8/269/2022/</a></p>
Survey on the Future of the Barcamp Open Science (Dataset)
<p>In September 2021, the Leibniz Research Alliance Open Science and Wikimedia Germany, as the organizer of Barcamp Open Science (<a href="https://www.barcamp-open-science.eu">www.barcamp-open-science.eu</a>), conducted a survey on the future direction of this event. The resulting survey data is located in this dataset:</p> <ul> <li> The questionnaire as PDF</li> <li> A summary of the results as XLS / ODS</li> <li> All answers as CSV (personal "referrer URL" have been replaced by an empty string)</li> </ul> <p>A report on how the results are taken up can be found here: <a href="https://www.leibniz-openscience.de/future-of-the-barcamp-open-science-a-survey-and-what-we-take-from-it">www.leibniz-openscience.de/future-of-the-barcamp-open-science-a-survey-and-what-we-take-from-it</a></p> <p>Lambert Heller had the lead in creating and evaluating the questionnaire.</p>
Dataset for article: Fire frequency affects fire behavior in open savannas of the Cerrado
<p>Dataset for the article: Rodrigues, C. A., Zirondi, H. L., & Fidelis, A. (2021). Fire frequency affects fire behavior in open savannas of the Cerrado. <em>Forest Ecology and Management</em>, <em>482</em>, 118850. https://doi.org/10.1016/j.foreco.2020.118850</p>
FIGURE 2 in Evaluation of three pesticides against phytophagous mites and their impact on phytoseiid predators in an eggplant open-field
FIGURE 2: Mortality (% ± S.E.) of Tetranychus urticae observed in fenbutatin oxide treatment applied three times (I, II and III) in the eggplant filed studied in Latakia province, Syria.
FIGURE 5 in Evaluation of three pesticides against phytophagous mites and their impact on phytoseiid predators in an eggplant open-field
FIGURE 5: Mean abundance per eggplant leaf (± SE) of Polyphagotarsonemus latus (continuous line) and other phytoseiid species (dotted line) observed during experiments in control (a) treated with water (gray arrows), fenbutatin oxide (b), acetamiprid (c) and deltamethrin (d) (black arrows).
FIGURE 1 in Evaluation of three pesticides against phytophagous mites and their impact on phytoseiid predators in an eggplant open-field
FIGURE 1: Bray-Curtis clustering analysis dendrogram of mite fauna observed in different pesticides treatments applied in the eggplant filed studied in Latakia province, Syria.
Photizo: an open-source library for cross-sample analysis of FTIR spectroscopy data
<p>With continually improved instrumentation, Fourier transform infrared (FTIR) microspectroscopy can now be used to capture thousands of high-resolution spectra for chemical characterisation of a sample. The spatially resolved nature of this method lends itself well to histological characterisation of complex biological specimens. However, commercial software currently available can make joint analysis of multiple samples challenging and, for large datasets, computationally infeasible. In order to overcome these limitations, we have developed Photizo - an open-source Python library for spectral analysis which includes functions for pre-processing, visualisation and downstream analysis, including principal component analysis, clustering, macromolecular quantification and biochemical mapping. This library can be used for analysis of spectroscopy data without a spatial component, as well as spatially-resolved data, such as data obtained via infrared (IR) microspectroscopy in scanning mode and IR imaging by focal plane array (FPA) detector. The data set made available here was FTIR microspectroscopy spatially resolved data used for demonstrating cross-sample analysis using Photizo including example metadata. </p>
Authorship information of open educational resources derived from peer-reviewed scientific literature
<p>This dataset evaluates the authorship of open educational resources available at 5 STEM resource web sites (EcoEd Digital Library, CourseSource, Teaching Issues and Experiments in Ecology, Teach the Earth, and the National Center for Case Study Teaching in Science). Using 20 exercises from each site, it evaluates the proportion of exercises that draw on peer-reviewed scientific studies; of those, it also evaluates the proportion in which any author of the teaching exercise overlaps with any author of a scientific article from which the open educational resource is derived. The overall goal is to evaluate overlap in authorship between scientific publications and associated open educational resources. The first tab shows how the studies were selected and the second tab presents authorship data for each study.</p>
Grey-brick buildings, an open data set of calibrated RC models of Dutch residential building heat dynamics
<p>Building thermal modeling is the founding stone upon which numerous carbon reduction strategies in the building sector are built. Yet, as of today, little to no interpretable and calibrated models founded on real-world measurements have been open-sourced. This work attempts to remedy this deficiency and renders public improved results of a recently published stochastic model identification of building heat dynamics study evaluated over 225 Dutch residential buildings. Calibrated lumped resistance-capacity models are made available, along with thermal characterizations of the buildings and reported meta-data. The paper discusses how open-access building thermal models support a collection of building service applications such as building performance benchmarks, model-based control, demand-side management, policy impact assessment, and data augmentation. Insights provided present a starting point for open access benchmarks of building thermal dynamics, paving the way toward new scientific discoveries from common standards.</p>
Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 1 September 2017
<p>Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 1 September 2017</p>
Chess Board with Queen's Opening
Chess Board with Queen's Opening, inspired by the incredible Netflix show Queen Gambit. Source: Objaverse 1.0 / Sketchfab
Figure 4 from: Wojnarski M, Hanken Kurtz D (2016) Paperity Central: An Open Catalog of All Scholarly Literature. Research Ideas and Outcomes 2: e8462. https://doi.org/10.3897/rio.2.e8462
Figure 4 - An introductory video presenting our Open Science Prize project.
Figure 2 from: Lahti L, da Silva F, Laine M, Lähteenoja V, Tolonen M (2017) Alchemy & algorithms: perspectives on the philosophy and history of open science. Research Ideas and Outcomes 3: e13593. https://doi.org/10.3897/rio.3.e13593
Figure 2 PHOS16 Conference Programme.
Open peer review in scientific journals indexed in DOAJ (respostas)
<p><span><span>Dados coletados para o desenvolvimento da dissertação, e demais publicações dela provenientes, intitulada "REVISÃO POR PARES ABERTA: PERCEPÇÃO DOS EDITORES DE PERIÓDICOS CIENTÍFICOS INDEXADOS NO DIRECTORY OF OPEN ACCESS JOURNALS" de autoria de Francisca Clotilde de Andrade Maia, sob orientação da Dra. Maria Giovanna Guedes Farias. </span></span></p>
Dataset related to article:MULTIMODAL DIGITAL HEALTH TREATMENTS FOR CHRONIC MIGRAINE ASSOCIATED WITH MEDICATION OVERUSE HEADACHE: A LITERATURE APPRAISAL AND RESULTS OF A SINGLE‑ARM OPEN TRIAL (THE BE‑HOME PROGRAM)
<p><strong><span>Variables related to baseline, months 3, 6 and 12 referred to headache frequency, medication intake, GSE, HIT-6, BDI-II, MSQ and PCS, of patients with CM and MOH who participated to the BE-HOME trial.</span></strong></p>
Simultaneous acclimation to nitrogen and iron scarcity in open ocean cyanobacteria revealed by sparse tensor decomposition of metatranscriptomes
<h2>Description</h2> <p>This dataset contains all of the supplementary files necessary to reproduce the findings published in the research article entitled <em>Simultaneous acclimation to nitrogen and iron scarcity in open ocean cyanobacteria revealed by sparse tensor decomposition of metatranscriptomes. </em>The scripts necessary for reproducing the published analyses can be found in the <a href="https://github.com/blasks/barnacle-manuscript">GitHub repository associated with the article</a>. Below is the article abstract and a description of the files included in this dataset.</p> <h2>Abstract</h2> <p>Microbes respond to changes in their environment by adapting their physiology through coordinated adjustments to the expression levels of functionally related genes. To detect these shifts in situ, we developed a sparse tensor decomposition method that derives gene co-expression patterns from inherently complex whole community RNA-sequencing data. Application of the method to metatranscriptomes of the abundant marine cyanobacteria <em>Prochlorococcus</em> and <em>Synechococcus</em> identified responses to scarcity of two essential nutrients, nitrogen and iron, including increased transporter expression, restructured photosynthesis and carbon metabolism, and mitigation of oxidative stress. Further, expression profiles of the identified gene clusters suggest that both cyanobacteria populations experience simultaneous nitrogen and iron stresses in a transition zone between North Pacific oceanic gyres. The results demonstrate the power of our approach to infer organism responses to environmental pressures, hypothesize functions of uncharacterized genes, and extrapolate ramifications for biogeochemical cycles in a changing ecosystem.</p> <h2>Legends for data S1 to S11</h2> <h3>Data S1. <em>Prochlorococcus</em> component profiles.</h3> <p>Median weight profiles for each <em>Prochlorococcus</em> component, including list of associated CyCOGs with corresponding gene weight, bootstrap support, and consensus annotation.</p> <h3>Data S2. <em>Synechococcus</em> component profiles.</h3> <p>Median weight profiles for each <em>Synechococcus</em> component, including list of associated CyCOGs with corresponding gene weight, bootstrap support, and consensus annotation.</p> <h3>Data S3. Enrichment analysis.</h3> <p>Significantly enriched KEGG pathways associated with each component, and compiled consensus annotations for each CyCOG.</p> <h3>Data S4. MED4 CyCOGs.</h3> <p>Mapping of <em>Prochlorococcus</em> MED4 genes to associated CyCOGs.</p> <h3>Data S5. Nitrogen and iron acclimation clusters.</h3> <p>CyCOGs, genes, and annotations for clusters associated with acclimation to nitrogen and iron scarcity.</p> <h3>Data S6. Sample metadata.</h3> <p>Metadata file detailing sampling conditions for all metatranscriptomes used in this study.</p> <h3>Data S7. Genome metadata.</h3> <p>Metadata file for CyCOG v6 reference genomes, including updated clade assignments.</p> <h3>Data S8. CyCOG v6 database.</h3> <p>Tarball of CyCOG v6 database, including reference genomes and annotation data.</p> <h3>Data S9. Reference sequence phylogenies.</h3> <p>Tarball of <em>Prochlorococcus</em> and <em>Synechococcus</em> reference genome phylogenies, used to update clade assignments.</p> <h3>Data S10. <em>Prochlorococcus</em> transcript abundance data.</h3> <p>A netCDF file of raw and normalized <em>Prochlorococcus</em> transcript abundance data, aggregated by CyCOG and organized into an `xarray.Dataset' tensor data structure.</p> <h3>Data S11. <em>Synechococcus</em> transcript abundance data.</h3> <p>A netCDF file of raw and normalized <em>Synechococcus</em> transcript abundance data, aggregated by CyCOG and organized into an `xarray.Dataset' tensor data structure.</p>
ITH: An open database on Italian tenders 2016 - 2023
<p><strong>Italian Tender Hub (ITH)</strong></p> <p>Autorità Nazionale AntiCorruzione (ANAC) Open Data Catalogue: <a href="https://dati.anticorruzione.it/opendata" target="_blank" rel="noopener">https://dati.anticorruzione.it/opendata</a></p> <p>Istituto Nazionale di Sttistica (ISTAT): <a href="https://www.istat.it/en" target="_blank" rel="noopener">https://www.istat.it/en</a></p> <p>Banca Dati Amministrazioni Pubbliche (BDAP):<a href="https://openbdap.rgs.mef.gov.it/" target="_blank" rel="noopener"> https://openbdap.rgs.mef.gov.it</a></p> <p>The source code for downloading the datasets, analysing them and transforming them into SQL tables is publicly available in the following GitHub repositories:</p> <p><a href="https://github.com/roberto-nai/ANAC-OD-DOWNLOADER" target="_blank" rel="noopener">https://github.com/roberto-nai/ANAC-OD-DOWNLOADER</a></p> <p><a href="https://github.com/roberto-nai/ANAC-OD-ANALYSER" target="_blank" rel="noopener">https://github.com/roberto-nai/ANAC-OD-ANALYSER</a></p>
The data for a catalog of newly discovered close binary open clusters in the Milky Way from Gaia DR3
<p>The database for a catalog of newly discovered close binary open clusters in the Milky Way from Gaia DR3.</p> <p>It corresponds to the study of Zhongmu Li, Zhanpeng Zhu in 2024, which was submitted to AJ. When one use these data, please cite to that work. </p> <p>The database contains four parts, i.e., a parameter file and four directories. They are explained as follows.</p> <p>The file of ''data_tableI.csv'' gives the spatial positions and parallaxs of 13 newly discovered close binary open clusters (CBOCs).</p> <p>There are 11 columns in this file. The colums are for Name1, RA1, DEC1, Parallax1, Rtidal1, Name2, RA2, DEC2, Parallax2, Rtidal2 respectively. </p> <p>They correspond to the contents of a manuscript that was submitted to AJ.</p> <p>The file of ''data_tableII.csv'' contains the data of the fundamental parameters of 13 newly discovered CBOCs, together with their astrometric information. PBOC means primordial binary open cluster member. Distance modulus, color excess, age, and metal abundance of the clusters were obtained by fitting Parsec isochrones and Powerful CMD code. Proper motion data for the clusters were provided by HR23.</p> <p>Columns 3-14 show the basic parameters (distance modulus, color excess, age, and metal abundance) and errors of the cluster. Columns 15-16 are the proper motion data for the clusters. Column 17 is the number of member stars of the cluster.</p> <p>The file of ''data_tableIII.csv'' contains the data of Parameters for checking gravitationally bound and unbound cluster pairs. The subscripts 1 and 2 indicate the first and second sub-clusters respectively. Rroche is the Roche radius. RV 1, RV 2 and ΔRV denote the radial velocities of two member clusters and their difference. Porb and Vorb denote orbital period and orbital velocity.</p> <p>There are 13 columns in this file. The colums are for Name1, Name2, d12, r1, r2, Rroche, Mass1, Mass2, Porb, RV1, RV2, ΔRV, Vorb respectively. </p> <p>The file of ''memeber_allp.txt'' gives the list of member stars of 13 pairs of clusters. Data provided by HR23.</p> <p>If you have any problems with using these data, send an email to zhongmuli@126.com.</p>
Figure 2 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224
Figure 2 The open scientific process lifecycle by Sarretta 2018, inspired by Rüegg et al. 2014.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.