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424 results for “Compilers”
Qualitas.class: A Compiled Version of the Qualitas Corpus
<p>We provide compiled Java projects for the 111 systems originally included in the Qualitas Corpus. We also gathered a large amount of metrics data (such as measurements from complexity, coupling, and CK metrics) about the systems. By making Qualitas.class Corpus public, our goal is to assist researchers by removing the compilation effort when conducting empirical studies.</p>
Collection of Tibetan etexts compiled by the Buddhist Digital Resource Center
<p>This is the Tibetan etext collection of the Buddhist Digital Resource Center (www.tbrc.org) as of April 28, 2017.</p>
Compiled BSE images
<p>These BSE images are part of an future book chapter on carbonate diagenesis and its effect on the rock-internal carbon isotope composition. The BSE images are produced at the Museum für Naturkunde in Berlin (Germany) with a Jeol JSM-6610LV SEM and an 15.0 kV beam acceleration as the operating condition. An automatized protocol took images along a grid that covered the whole surface of the polished rock slab (~5 by 5 cm). The resulting images are therefore a compilation of multiple individual BSE images linked together. The samples are taken from a limestone sequence that covers the Permian–Triassic transition, the outcrop is situated in NW Iran near the town of Zal (38°73.30 N, 45°58.00 E). </p>
Compilation of D/H measurements in Martian meteorites
Open the record for dataset details and reuse information.
Global data compilation of seawater, authigenic and detrital radiogenic neodymium isotope composition since the Last Glacial Maximum
<p>The global radiogenic Neodymium isotope data compilation from:</p> <div> <div>Du J., Haley B. A. and Mix A. C. (2020) Evolution of the Global Overturning Circulation since the Last Glacial Maximum based on marine authigenic neodymium isotopes. <em>Quaternary Science Reviews</em> <strong>241</strong>, 106396.</div> </div>
Compilation of 17 anthropogenic pressure gradients and 18 benthic indicators in the Baltic Sea, Atlantic Ocean and Mediterranean Sea
<p>Compilation of 17 benthic datasets that sampled benthic ecosystems over gradients of commercial bottom trawling intensity (n=14), eutrophication (n=1), oxygen depletion (n=1) and pollution (n=1) (Table 1).</p> <p>Compilation of 18 benthic indicators that were calculated for each gradient dataset. The indicators estimated were community biomass, abundance, richness, relative Margalef diversity, Shannon index, Simpson index, Inverse Simpson, AZTI’s Marine Biotic Index (AMBI), Multivariate AMBI (M-AMBI), BENTIX Biotic Index (BENTIX), Danish Quality Index (DKI), Trawling Disturbance Index (TDI), Modified TDI (mTDI), Modified vulnerability index (mT), Median longevity (Lm), Partial TDI (pTDI), Sentinels of Seabed (SoS), Long-lived fraction (Lf).</p> <p>The dataset has information on: 1) indicator outputs per sampling station; 2) combined data tables with gradient, station, and species information; 3) individual gradient information with replicate samples and the environmental variables reported in the original study.</p> <p>#----------------</p> <p>NOTE: The dataset was updated in February 2025 due to incorrect description of units used for two gradients (Silver Pit and Thames) in the "Individual Gradient Studies" folder.</p> <p>#---------------</p> <p>Table 1. Overview of anthropogenic gradient datasets</p> <table> <tbody> <tr> <th>Location</th> <th>Sampling method</th> <th>Pressure gradient</th> </tr> </tbody> <tbody> <tr> <td>Adriatic Sea – Italian EEZ (sand)</td> <td>Rapido trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Adriatic Sea – Italian EEZ (mud)</td> <td>Rapido trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Dutch EEZ</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Dogger Bank</td> <td>Hamon grab</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Fladen Ground</td> <td>Day grab</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Long Forties</td> <td>Hamon grab</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea - Silver Pit</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>North Sea – Thames</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>Northern Iberian Coast (sand)</td> <td>Otter trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Northern Iberian Coast (mud)</td> <td>Otter trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Baltic Sea - Gotland</td> <td>van Veen grab</td> <td>Bottom trawling</td> </tr> <tr> <td>Baltic Sea – Polish EEZ</td> <td>Box core</td> <td>Bottom trawling</td> </tr> <tr> <td>NW Atlantic - Flemish Cap</td> <td>Otter trawl</td> <td>Bottom trawling</td> </tr> <tr> <td>Irish Sea - Sellafield</td> <td>Day grab</td> <td>Bottom trawling</td> </tr> <tr> <td>Gulf of Finland</td> <td>van Veen grab</td> <td>Oxygen depletion</td> </tr> <tr> <td>Saronikos Gulf</td> <td>Box core</td> <td>Eutrophication</td> </tr> <tr> <td>Vigo Estuary</td> <td>Box core</td> <td>Contaminants</td> </tr> </tbody> </table>
Teaser | The past, present and future, of African language dictionaries - from Eurocentric to Afrocentric compilations
<p>Professor D.J. Prinsloo (University of Pretoria, South Africa) gives us a glimpse of the course he will lecture in <em>Lisbon Summer School in Linguistics 2021</em>: "The past, present and future, of dictionaries for African Languages - from Eurocentric to Afrocentric compilations".</p> <p>Further information: https://clunl.fcsh.unl.pt/en/lisbon-summer-school-in-linguistics-2021/</p>
Olivine mineral chemistry compilation
<p>Compilation of published data on major and minor element concentrations in volcanic and plutonic olivines including global magmatic nickel-copper sulfide orebodies. Electron microprobe analyses only. Associated with publication by Barnes et al., 2022, American Mineralogist, in press. </p>
Compound activity data sets for 15 biological targets compiled from the ChEMBL and PubChem databases.
<p>Compound activity data sets for the 15 biological targets are deposited, along with structure-activity relationship matrices IDs. Active compounds were extracted from the ChEMBL database and inactive were from the PubChem database. Details of the data sets are described in the original publication. and the summary of the data sets is given in the readme.txt file. </p>
Afterslip Model Database RC2022 (Afterslip Moment Scaling and Variability from a Global Compilation of Estimates)
<p>Churchill2022AfterslipDatabase.xlsx is a detailed database of aseismic afterslip models and corresponding mainshock information compiled by Robert Churchill (under the supervision of Maximilian Werner, Juliet Biggs and Åke Fagereng). The database contains afterslip models of mainshocks since 1979, with a publication cut-off at the end of 2018. The database is near complete, but not exhaustive. Descriptions of each column can be found as comments in the header field, as well as in the accompanying paper. Not all fields are not complete, some are also approximate or inferred values.</p> <p>This accompanies the paper:</p> <p>Churchill, R.M., Werner, M.J., Biggs, J. and Fagereng, Å., 2022. Afterslip Moment Scaling and Variability from a Global Compilation of Estimates. <em>Journal of Geophysical Research: Solid Earth</em>, p.e2021JB023897. <a href="https://doi.org/10.1029/2021JB023897">https://doi.org/10.1029/2021JB023897</a>.</p> <p>We hope the database serves as a useful resource to the afterslip community. Please reference our associated paper when using this database, as well as the database itself. References for individual afterslip papers can be found on the second sheet of the database, and references for additional data used in our study can be found in the third sheet. In the future, the database may be updated to include additional (missed) studies, however, this first version accompanies our study.</p> <p>*Headers for columns U and V are mislabelled Afterslip Upper Depth Limit (km) and Afterslip Lower Depth Limit (km), when these should be Coseismic Slip Upper Depth Limit (km) and Coseismic Slip Lower Depth Limit (km). The data in these columns is otherwise correct.</p> <p> </p>
Data sets compiled for review article on Gender Equity in Oceanography
<p>Data sets compiled for a review paper on Gender Equity in Oceanography, to appear in Annual Review of Marine Science, 2023. Includes: Annual Reviews of Marine Science invited author gender statistics; China and USA oceanography career progression gender statistics; Current employment fractions of 2010-2019 physical oceanography PhDs; Gordon Research Conference Oceanography gender statistics; JGR oceans author and reviewer gender statistics; Oceanography faculty gender statistics for China; Oceanography graduate degree gender statistics for China; Oceanography magazine author gender data. </p>
GEOROC data as SQLite database derived from GEOROC Compilations provided by DIGIS Team
<p>Cite the sources of this dataset as:</p> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Archaean Cratons", https://doi.org/10.25625/1KRR1P, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Complex Volcanic Settings", https://doi.org/10.25625/1VOFM5, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Continental Flood Basalts", https://doi.org/10.25625/WSTPOX, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Convergent Margins", https://doi.org/10.25625/PVFZCE, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Intraplate Volcanic Rocks", https://doi.org/10.25625/RZZ9VM, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Ocean Basin Flood Basalts", https://doi.org/10.25625/AVLFC2, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Ocean Island Groups", https://doi.org/10.25625/WFJZKY, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Oceanic Plateaus", https://doi.org/10.25625/JRZIJF, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Rift Volcanics", https://doi.org/10.25625/KAIVCT, GRO.data, V3</p> </blockquote> <blockquote> <p>DIGIS Team, 2022, "GEOROC Compilation: Seamounts", https://doi.org/10.25625/JUQK7N, GRO.data, V3</p> </blockquote>
Compilation of chemical pollution monitoring data for the water of mountain lakes
<p>Compilation of chemical pollution monitoring data for the water of mountain lakes. Includes data for wide variety of chemical pollutants and mountain lakes from all over the world. A toxic unit (TU) based approach was used to assess the mixture toxic risks of the compiled monitoring data for each respective lake.Data will be part of an review investigating the risk for mountain lakes by chemical pollution.</p>
Data Compilation Supporting the Development of gas signatures of smouldering peat wildfire from emission factors
<p>This is the dataset of emission factors used for the paper "Development of gas signatures of smouldering peat wildfires from emission factors" published in 2022 in <em>Journal of the International Association of Wildland Fire</em>.</p> <p>Smouldering peat fires are responsible for regional haze episodes and cause environmental, social and health crisis. Owing to the unique burning characteristics of smouldering peat, identifying and detecting this kind of fire from flaming and among all wildfire fuels remain a challenge. This work explores and develops smouldering peat gas signatures using emission factor (EF) data from the literature. Systematic comparisons and statistical analyses were carried out to investigate the difference and statistical significance of 28 forms of EF combinations created from the 4 most abundant gas species (CO2, CO, CH4 and NH3) from smouldering peat, flaming savanna and grassland, agricultural residue and forest fires.</p>
Species numbers by country.pdf: a listing of total fish species numbers for locations compiled from http://www.fishbase.us online database.
<p>Species numbers by country.pdf: a listing of total fish species numbers for locations compiled from http://www.fishbase.us online database.</p> <p>data from Starck, W.A., Estapé C.J. & Morgan Estapé, A. (2017) The fishes of Alligator Reef and environs in the<br> Florida Keys: a half-century update. Journal of the Ocean Science Foundation, 27, 74–117.</p>
A comprehensive compilation of Michaelis-Menten kinetic observations of methanotrophy
<p>This is a compilation of all published measurements of the Michaelis-Menten kinetics of methanotrophy as of 10/2023. Relevant publications were identified using a Google Scholar search with the search terms “soil AND kinetic AND Michaelis-Menten OR Monod OR Vmax AND intitle:methane OR intitle:ch4.” Out of 909 results for these search terms, 67 publications dating from between 1987 and 2023 met the requirements for reporting <em>V</em>max and/or <em>K</em>M values for natural soils and are included here.</p> <p>This compilation supported the findings reported in the 2024 article "Evaluating the contribution of methanotrophy kinetics to uncertainty in the soil methane sink" published in <em>Environmental Research Letters</em>. </p>
Compilation of existing underwater PAM repositories, libraries, and applications for sound processing
<p>Resources for passive acoustic monitoring (PAM) are continuously expanding and being developed, yet a major challenge for users is staying up-to-date and finding the best software or application for their acoustics investigation. We expand on previous efforts (Rhinehart & Nicholson, 2022; Felgate, 2023) with the aim of providing a current, comprehensive list of 1) underwater sound repositories of raw sound data without significant processing, 2) biological sound reference libraries, with species or taxa identification, and 3) sound processing tools for visualization, annotation, or analysis. This spreadsheet contains three pages, one dedicated to each of the aforementioned items, along with some descriptive information to help users identify the best resources for their needs.</p> <p>This work was done to support the Global Library of Underwater Biological Sounds (GLUBS) project and funded in part by the Richard Lounsbery Foundation and from funding to SCOR WG #169 (GLUBS) provided by national committees of the Scientific Committee on Oceanic Research (SCOR) and from a grant to SCOR from the US National Science Foundation (OCE--2140395), with support from the International Quiet Ocean Experiment.</p> <p> </p>
Compilation of LCF and TMF Data for Single-Crystal and Directionally-Solidified Ni-base Superalloys (All Orientations)
<p>This Excel file contains a compilation of low cycle fatigue (LCF) and thermomechanical fatigue (TMF) data for single-crystal (SX) and directionally-solidified (DS) Ni-base superalloys that are typically used for blades and vanes in gas turbines. Most of the data is generated by strain-controlled uniaxial fatigue tests. Both continuous cycling and cycles with dwells (hold times) at either the maximum or minimum of the cycle are included in the dataset.</p> <p>Several different alloys with similar mechanical behaviors are included in the dataset. The dataset only includes materials that have undergone a solution and age heat treatment typical of that applied to blade and vane components. All the fatigue data in this dataset is limited to uniaxial cyclic loading. The loading direction with respect to the crystal orientation or solidification direction varies. The data in this dataset has been extracted from the public domain. The sources of the data are included in the Excel file.</p> <p>This data is used to train a Probabilistic Physics-guided Neural Network (PPgNN) that outputs a strain-life curve, including the mean response and 95% confidence intervals. The INPUTS and OUTPUTS used in the PPgNN are highlighted in the Excel file.</p>
Finite-State Morphology code with compiled analyzers and generators for Skolt Sami
<p>Two-level morphophonology and lexc morphological descriptions of Skolt Sami as coded on the Giella Infrastructure at the Arctic University of Norway, in Tromsø.</p> <p>Funded by scholarship from Kone Foundation</p>
Compilation of LA-ICP-MS data from published literature of SMS and VMS deposits
<p>Compilation of LA-ICP-MS data from published literature of SMS and VMS deposits. Data was compiled as part of a PhD thesis by Hannah L. J. Grant (University of Kiel, 2019). References are contained within the file.</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.