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47,155 results for “evaluations”
Data from: Evaluation of mowing frequency on right-of-way plant communities in Mississippi
Abstract: Native grasses and native wildflowers are declining, especially along roadside right-of-ways due to intensive mowing and herbicide management practices. Roadside right-of-ways undergo regular disturbances such as mowing, maintenance, and road developments that affect soils, groundwater, surface hydrology, and vegetation composition. We investigated species richness and percent coverage within plant communities along highway right-of-ways to determine if reduced mowing increased native plant coverage. The study was conducted using 10 research plots situated along Highway 25 in Oktibbeha and Winston counties, Mississippi. Each research plots consisted of three different treatments as follows: one that included greater than four mowings per year, one mowing only in fall, and one mowing only in fall with a supplemental native wildflower seeding. Using line transect sampling, we detected 277 plant species, which included native and non-native forbs, legumes, grasses, rushes, sedges, and woody perennials (vines, shrubs, and trees). Total percent coverage of native and non-native plants within different growth form categories did not differ among treatments (F2, 96 = 0.45, P = 0.83). However, coverage differed between uplands and lowlands (F1, 96 = 18.22, P {less than or equal to} 0.001), between years (F1, 96 = 14.54, P {less than or equal to} 0.001), between fall and spring seasons (F1, 96 = 16.25, P {less than or equal to} 0.001), and interacted between years and seasons (F1, 96 = 24.08, P {less than or equal to} 0.001) and seasons and elevations (F1, 96 = 5.00, P {less than or equal to} 0.001). Non-native agronomic grasses exhibited the greatest coverage ({greater than or equal to}90%) in all treatments. Percent coverage of each plant growth form was greatest in lowlands. Our research showed an increase of native grasses and wildflower species along roadsides with a reduced mowing regimen. We concluded that the timing and intensity of mowing for the duration of our study had little effect on the species composition of plant communities. However, one mowing per year retained agronomic plant coverage for erosion control and soil stabilization during roadside maintenance. Specific proactive management implementations can include native plantings, selective herbicide use to decrease non-native grasses, continual mowing from roadside edge to 10 meters (m), and only one mowing in late fall, but with an extension of the boundary to reach beyond 10 m from the roadside edge to suppress the invasion of woody plants, which could lead to lower long-term maintenance costs.
Data from: Evaluation of a single nucleotide polymorphism baseline for genetic stock identification of Chinook Salmon (Oncorhynchus tshawytscha) in the California Current Large Marine Ecosystem
Chinook Salmon is an economically and ecologically important species, and populations from the west coast of North America are a major component of fisheries in the North Pacific Ocean. The anadromous life history strategy of this species generates populations (or stocks) that typically are differentiated from neighboring populations. In many cases, it is desirable to discern the stock of origin of an individual fish or the stock composition of a mixed sample to monitor the stock-specific effects of anthropogenic impacts and alter management strategies accordingly. Genetic stock identification (GSI) provides such discrimination, and we describe here a novel GSI baseline composed of genotypes from more than 8000 individual fish from 69 distinct populations at 96 single nucleotide polymorphism (SNP) loci. The populations included in this baseline represent the likely sources for more than 99% of the salmon encountered in ocean fisheries of California and Oregon. This new genetic baseline permits GSI with the use of rapid and cost-effective SNP genotyping, and power analyses indicate that it provides very accurate identification of important stocks of Chinook Salmon. In an ocean fishery sample, GSI assignments of more than 1000 fish, with our baseline, were highly concordant (98.95%) at the reporting unit level with information from the physical tags recovered from the same fish. This SNP baseline represents an important advance in the technologies available to managers and researchers of this species.
Supporting data for: A close look at protein function prediction evaluation protocols
<p>Data files and predictions associated with the paper: A close look at protein function prediction evaluation protocols.</p>
Underlying data for "Evaluating parameterization protocols for hydration free energy calculations with the AMOEBA polarizable force field"
<p>This dataset includes underlying data for the publication "Evaluating<br /> parameterization protocols for hydration free energy calculations with the<br /> AMOEBA polarizable force field"</p> <p>Contents:<br /> Modified valence parameters for the Poltype software (valence.py). This can be<br /> substituted for the existing valence.py module packaged with Poltype to make the<br /> parameter assignment changes detailed in the article supplementary information. </p> <p>Results files for each parameter set (*.txt). Each consists of a 4 x 47 array of<br /> numbers. Rows correspond to entries for each sequential ligand. The first column<br /> in each row is the experimental hydration free energy. The following three rows<br /> are computational hydration free energy predictions from three independent<br /> repeat simulations.</p> <p>Script for analysis of results files (analyse_hfe.py). Short script to produce<br /> descriptive statistics for packaged datasets. Expects input files in the syntax<br /> of *.txt (i.e. 4 x 47 arrays)</p>
NanoPUZZLES list of evaluated references: Zenodo copy
<p>*If any corrections are required to this file, the latest version can be accessed via figshare.com: https://figshare.com/articles/NanoPUZZLES_list_of_evaluated_references/2015466*</p> <p>This file is a ZIP archive which contains a spreadsheet of evaluated references prepared within the NanoPUZZLES EU project [http://www.nanopuzzles.eu], along with a README file documenting this spreadsheet.</p> <p>Disclaimers:</p> <p>(1) this work has not undergone peer review</p> <p>(2) no endorsement by third parties should be inferred</p> <p>(3) *You are strongly advised to read the "Important Caveats" section of the README file.*</p> <p>In light of these key caveats, the annotations in this spreadsheet should only be taken to be indicative of the (meta)data availability corresponding to a given reference.</p> <p>The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/ 2007-2013) under grant agreement no. 309837 (NanoPUZZLES project).</p> <p> </p>
Experimental data for the publication: "Evaluating scintillator performance in time-resolved, hard X-ray studies at synchrotron light sources"
<p>In accordance with the expectations outlined in <em><strong>Clarifications of EPSRC expectations on research data management</strong></em> (09/10/14) this data has been made publicly available to complement the open access publication "Evaluating scintillator performance in time-resolved, hard X-ray studies at synchrotron light sources". </p> <p>There are six data sets, corresponding to the six experimental data sets presented in the article. In each data set, which may be identified by their file names and reference to the article, the 1st column is the RF trigger - to - ICCD exposure delay in [ns], and the second column in the intensity recorded on the ICCD in [counts]. This intensity accounts for any online and offline processing outlined in the article, such as on-CCD exposures, dark frame correction etc. </p>
Denul Evaluation Dataset
<p>Partial dataset of the evaluation results of my master thesis, showing the results of the simulator. Remaining data and additional information can be found at https://github.com/DenulApp/data</p>
The free-breathing motion-corrected phase sensitive inversion recovery sequence provides improved myocardial fibrosis evaluation while significantly shortening acquisition time upon comparison to conventional gradient echo sequences: a tripartite comparison of phase-sensitive inversion recovery sequences.
<p>This article includes original research performed at a US Academic Center related to comparison of three separate Phase-Sensitive Inversion Recovery (PSIR) pulse sequences (Breath-hold Single-Shot SFFP, Breath-hold TurboFLASH, and Free-breathing Motion-Corrected SSFP) evaluating the ability of each PSIR sequence to demonstrate myocardial hyperenhancement. All three PSIR sequences were performed as a part of a cardiac MRI performed on a patient clinically referred for cardiac MRI with and without contrast. A total of 28 patients were examined with the three PSIR sequences. All three PSIR sequences were performed in the short axis 10 – 25 minutes after intravenous injection of a Gadolinium-based contrast agent. </p> <p>Evaluation of the PSIR sequences ability to detect myocardial late gadolinium enhancement (LGE) was performed by a retrospective review by two blinded, experienced cardiovascular imagers. The review was a qualitative inspection that included grading by a 5-point Likert scale for the sequence’s ability to resist motion artifact, image resolution, ability to visualize hyperenhancement, and overall satisfaction. The number of myocardial segments demonstrating LGE was also quantitated, and the acquisition time of each PSIR sequence was performed.</p> <p>To our knowledge this is the first study that compares the 3 available PSIR LGE sequences with a specific attention to acquisition time (TA). Given our initial study resulted in the conclusion that the motion-corrected SSFP PSIR sequence was superior the the TurboFLASH Gradient Echo PSIR sequence in regards to evaluator grading and acquisition time efficiency.</p>
GERBIL evaluation data of Robust and Collective Entity Disambiguation through Semantic Embeddings
<p>A table containing the SIGIR 2016 experiments performed with GERBIL in context of the SIGIR 2016 work "Robust and Collective Entity Disambiguation through Semantic Embeddings" by Stefan Zwicklbauer, Christin Seifert and Michael Granitzer</p> <p>It also contains the original URL to the GERBIL website</p> <p>Corresponding GitHub Repository:</p> <p>https://github.com/quhfus/</p> <p> </p>
The Free-Breathing Motion-Corrected Phase Sensitive Inversion Recovery Sequence Provides Improved Myocardial Fibrosis Evaluation while Significantly Shortening Acquisition Time Compared to Conventional Gradient Echo Sequences.
<p>This article includes original research performed at a US Academic Center related to comparison of three separate Phase-Sensitive Inversion Recovery (PSIR) pulse sequences (Breath-hold Single-Shot SFFP, Breath-hold TurboFLASH, and Free-breathing Motion-Corrected SSFP) evaluating the ability of each PSIR sequence to demonstrate myocardial hyperenhancement. All three PSIR sequences were performed as a part of a cardiac MRI performed on a patient clinically referred for cardiac MRI with and without contrast. A total of 28 patients were examined with the three PSIR sequences. All three PSIR sequences were performed in the short axis 10 – 25 minutes after intravenous injection of a Gadolinium-based contrast agent. </p> <p>Evaluation of the PSIR sequences ability to detect myocardial late gadolinium enhancement (LGE) was performed by a retrospective review by two blinded, experienced cardiovascular imagers. The review was a qualitative inspection that included grading by a 5-point Likert scale for the sequence’s ability to resist motion artifact, image resolution, ability to visualize hyperenhancement, and overall satisfaction. The number of myocardial segments demonstrating LGE was also quantitated, and the acquisition time of each PSIR sequence was performed.</p> <p>To our knowledge this is the first study that compares the 3 available PSIR LGE sequences with a specific attention to acquisition time (TA). Given our initial study resulted in the conclusion that the motion-corrected SSFP PSIR sequence was superior the the TurboFLASH Gradient Echo PSIR sequence in regards to evaluator grading and acquisition time efficiency.</p>
Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile (datasets)
<p>This file contains the <strong>dataset</strong> (both raw observed precipitation data and figures obtained as output of the analysis) accompanying the manuscript '<strong>hess-2016-453'</strong> submitted to the HESS journal (http://www.hydrology-and-earth-system-sciences.net/).</p> <p> </p> <p><strong>Title</strong>: "Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile"</p> <p> </p> <p><strong>Abstract</strong></p> <p>Accurate representation of the real spatio-temporal variability of catchment rainfall inputs is currently severely limited. Moreover, spatially interpolated catchment precipitation is subject to large uncertainties, particularly in developing countries and regions which are difficult to access (e.g., high elevation zones). Recently, satellite-based rainfall estimates (SRE) provide an unprecedented opportunity for a wide range of hydrological applications, from water resources modelling to monitoring of extreme events such as droughts and floods. </p> <p>This study attempts to exhaustively evaluate -for the first time- the suitability of seven state-of-the-art SRE products (TMPA 3B42v7, CHIRPSv2, CMORPH, PERSIANN-CDR, PERSIAN-CCS-adj, MSWEPv1.1 and PGFv3) over the complex topography and diverse climatic gradients of Chile. Different temporal scales (daily, monthly, seasonal, annual) are used in a point to-pixel comparison between precipitation time series measured at 366 stations (from sea level to 4600 m a.s.l. in the Andean Plateau) and the corresponding grid cell of each SRE. The modified Kling-Gupta efficiency was used to identify possible sources of systematic errors in each SRE. In addition, several categorical indices were used to assess the ability of each SRE to correctly identify different precipitation intensities.</p> <p><br> Results revealed that most SRE products performed better for the humid South (36.4-43.7ºS) and Central Chile (32.18-36.4ºS), in particular at low- and mid-elevation zones (0-1000 m a.s.l.) compared to the arid northern regions and the Far South. Seasonally, all products performed best during the wet seasons (MAM-JJA) compared to summer (DJF) and autumn (SON). In addition, all SREs were able to correctly identify the occurrence of no rain events, but they presented a low skill in classifying precipitation intensities during rainy days. Overall, PGFv3 exhibited the best performance everywhere and for all time scales, which can be clearly attributed to its bias-correction procedure using 213 stations from Chile. Good results were also obtained by CHIRPSv2, TMPA 3B42v7 and MSWEPv1.1, while CMORPH, PERSIANN-CDR and PERSIANN-CCS-adj were not able to represent observed rainfall. While PGFv3 (currently available up to 2010) might be used in Chile for historical analyses and calibration of hydrological models, the high spatial resolution, low latency and long data records of CHIRPS and TMPA 3B42v7 (in transition to IMERG) show promising potential to be used in meteorological studies and water resources assessments. We finally conclude that despite improvements of most SRE products, a site-specific calibration is still needed before any use in catchment-scale hydrological studies.</p>
TUT Acoustic scenes 2016, Evaluation dataset
<p>TUT Acoustic Scenes 2016, evaluation dataset consists of 30-seconds audio segments from 15 acoustic scenes:</p> <ul> <li>Bus - traveling by bus in the city (vehicle)</li> <li>Cafe / Restaurant - small cafe/restaurant (indoor)</li> <li>Car - driving or traveling as a passenger, in the city (vehicle)</li> <li>City center (outdoor)</li> <li>Forest path (outdoor)</li> <li>Grocery store - medium size grocery store (indoor)</li> <li>Home (indoor)</li> <li>Lakeside beach (outdoor)</li> <li>Library (indoor)</li> <li>Metro station (indoor)</li> <li>Office - multiple persons, typical work day (indoor)</li> <li>Residential area (outdoor)</li> <li>Train (traveling, vehicle)</li> <li>Tram (traveling, vehicle)</li> <li>Urban park (outdoor)</li> </ul> <p>Each acoustic scene has 26 segments totaling 13 minutes of audio.</p>
Aberystwyth Leaf Evaluation Dataset
<p>We are releasing the dataset acquired to support the work of the EPSRC funded project “Dynamic Modelling of Plant Growth with Computer Vision” (grant code EP/LO17253/1) in the hope that its availability will help further advance the state of the art in the use of image analysis for plant sciences. It is a visible light, top down, timelapse image dataset of Arabidopsis thaliana (Arabidopsis). It incorporates the original images, some with leaf-level ground truth annotations, harvested plant ground truth data and scanned images together with supporting software.</p> <ul> <li>4 sets of 20 Arabidopsis Thaliana plants have been grown in trays</li> <li>Images of each tray are taken in a 15 minute timelapse sequence using a robotic greenhouse system</li> <li>Periodically, plants from each tray are sacrificed to record destructive measurements</li> <li>A subset of these images have been hand-annotated to provide leaf-based image <em>ground truth</em>. <ul> <li>In total, there are 56 annotated ground truth images containing 916 hand-marked up individual arabidopsis plants</li> </ul> </li> <li>We also release software to help with the analysis of these images</li> </ul>
Benchmark Petri Net Models Used for the Evaluation of B-I-Sat
<p>Collection and documentation of the benchmark Petri net models used for the evaluation of the B-I-Sat algorithm.</p>
Line: Evaluating Software Applications in Unreliable Environments - Data
<p>This dataset release supports the results presented in the paper<br> "LINE: Evaluating Software Applications in Unreliable Environments", by J. F. Perez and G. Casale, accepted in IEEE Transactions on Reliability (TRE). </p> <p>When referring to the dataset or companion software please cite the paper above.</p> <p> </p>
Questionnaire for evaluating data narratives
<p>File containing the evaluation questionnaire for the data narratives. The questionnaire describes 6 different scenarios, where the respondents have to choose which narrative is more appropriate, or define the one they would choose.</p>
Evaluation results for Data Narratives
<p>Excel file containing the results of the 12 responses to the questionnaire http://doi.org/10.5281/zenodo.234648</p> <p>The file also contains the graphs included on the paper http://dx.doi.org/10.1145/3025171.3025193</p>
Marx: Uncovering Class Hierarchies in C++ Programs - (Evaluation Data)
<p>Evaluation data of the published paper: "MARX: Uncovering Class Hierarchies in C++ Programs". The paper was published at the Symposium on Network and Distributed System Security (NDSS) 2017.</p> <p>The paper is available at: https://www.syssec.rub.de/research/publications/marx/</p> <p><br> Abstract:</p> <p>Reverse engineering of binary executables is a difficult task which gets more involved by the way compilers translate high-level concepts used in paradigms such as object-oriented programming into native code, as it is the case for C++. Such code is harder to grasp than, e. g., traditional procedural code, since it is generally more verbose and adds complexity through features such as polymorphism or inheritance. Hence, a deep understanding of interactions between instantiated objects, their corresponding classes, and the connection between classes would vastly reduce the time it takes an analyst to understand the application. The growth in complexity in contemporary C++ applications only amplifies the effect.</p> <p>In this paper, we introduce Marx, an analysis framework to reconstruct class hierarchies of C++ programs and resolve virtual callsites. We have evaluated the results on a diverse set of large, real-world applications. Our experimental results show that our approach achieves a high precision (93.2% of the hierarchies reconstructed accurately for Node.js, 88.4% for MySQL Server) while keeping analysis times practical. Furthermore, we show that, despite any imprecision in the analysis, the derived information can be reliably used in classic software security hardening applications without breaking programs. We showcase this property for two applications built on top of the output of our framework: vtable protection and type-safe object reuse. This demonstrates that, in addition to traditional reverse engineering applications, Marx can aid in implementing concrete, valuable tools e. g., in the domain of exploit mitigations.</p>
Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile (supplementary material)
<p>This file contains the <strong>Supplement</strong> (both raw observed precipitation data and figures obtained as output of the analysis) accompanying the manuscript '<strong>hess-2016-453'</strong> submitted to the HESS journal (http://www.hydrology-and-earth-system-sciences.net/).</p> <p><strong>Title</strong>: "Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile"</p> <p> </p> <p><strong>Abstract</strong></p> <p>Accurate representation of the real spatio-temporal variability of catchment rainfall inputs is currently severely limited. Moreover, spatially interpolated catchment precipitation is subject to large uncertainties, particularly in developing countries and regions which are difficult to access. Recently, satellite-based rainfall estimates (SRE) provide an unprecedented opportunity for a wide range of hydrological applications, from water resources modelling to monitoring of extreme events such as droughts and floods.</p> <p>This study attempts to exhaustively evaluate -for the first time- the suitability of seven state-of-the-art SRE products (TMPA 3B42v7, CHIRPSv2, CMORPH, PERSIANN-CDR, PERSIAN-CCS-adj, MSWEPv1.1 and PGFv3) over the complex topography and diverse climatic gradients of Chile. Different temporal scales (daily, monthly, seasonal, annual) are used in a point-to-pixel comparison between precipitation time series measured at 366 stations (from sea level to 4600 m a.s.l. in the Andean Plateau) and the corresponding grid cell of each SRE (rescaled to a 0.25° grid if necessary). The modified Kling-Gupta efficiency was used to identify possible sources of systematic errors in each SRE. In addition, five categorical indices (PC, POD, FAR, ETS, fBIAS) were used to assess the ability of each SRE to correctly identify different precipitation intensities.</p> <p>Results revealed that most SRE products performed better for the humid South (36.4-43.7°S) and Central Chile (32.18-36.4°S), in particular at low- and mid-elevation zones (0-1000 m a.s.l.) compared to the arid northern regions and the Far South. Seasonally, all products performed best during the wet seasons autumn and winter (MAM-JJA) compared to summer (DJF) and spring (SON). In addition, all SREs were able to correctly identify the occurrence of no rain events, but they presented a low skill in classifying precipitation intensities during rainy days. Overall, PGFv3 exhibited the best performance everywhere and for all time scales, which can be clearly attributed to its bias-correction procedure using 217 stations from Chile. Good results were also obtained by the research products CHIRPSv2, TMPA 3B42v7 and MSWEPv1.1,while CMORPH, PERSIANN-CDR and the real-time PERSIANN-CCS-adj were less skillful in representing observed rainfall. While PGFv3 (currently available up to 2010) might be used in Chile for historical analyses and calibration of hydrological models, the high spatial resolution, low latency and long data records of CHIRPS and TMPA 3B42v7 (in transition to IMERG) show promising potential to be used in meteorological studies and water resources assessments. We finally conclude that despite improvements of most SRE products, a site-specific assessment is still needed before any use in catchment-scale hydrological studies.</p>
An evaluation of inexpensive methods for root image acquisition when using rhizotrons
<p>Dataset presenting the root data analysis performed in the paper:</p> <p><strong>An evaluation of inexpensive methods for root image acquisition when using rhizotrons</strong></p> <p><sup>1</sup>Awaz Mohamed*, <sup>1</sup>Yogan Monnier, <sup>1</sup>Zhun Mao, <sup>2,3</sup>Guillaume Lobet, <sup>4</sup>Jean-Luc Maeght, <sup>1</sup>Merlin Ramel, <sup>1</sup>Alexia Stokes</p> <p>The dataset contains:<br> Images examples_LaboratoryTest.7z: original images from laboratory rhizotron test including examples of images from camera, smartphone and scanners methods before and after image stitching (Test1)<br> Images examples in situ rhizotron.7z: original images of roots system from in situ rhizotron (Test2)<br> Day&night root growth by Camera.7z: original images of root growth monitored by time-lapse camera using in situ rhizotron (Test3).<br> Root_data.CSV.7z: Root data exported from SmartRoot and used for analysis in R<br> Root_Data_Analysis.R.7z: R scripts used for root data analysis</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.