Find research datasets worth reusing

opencc-by-4.0Jun 2019View details →

Replication Package: Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations

This is the replication package for the publication Reducing the Maintenance Effort for Parameterization of Representative Load Tests Using Annotations, Journal of Software Testing, Verification and Reliability (STVR), Special Issue on Testing Extra-Functional Properties. It contains the JSON/YAML schema of the Input Data and Properties Annotation (IDPA) as well as the experiment artifacts, the experiment results, and the R-scripts we used for the analysis. The README.md (or README.pdf) contains further descriptions and instructions.

opencc-by-4.0Aug 2024View details →

Figure 2 in sOilFauna - a global synthesis effort on the drivers of soil macrofauna communities and functioning

Figure 2. Main hypotheses of soil biodiversity drivers. Adapted from (Calderón-Sanou et al. 2022).

opencc-by-4.0Dec 2022View details →

Table 3 in Analysis of catch results per effort of catching red snapper (Lutjanus sp) in the waters of Lewalu village, Northwest Alor, Alor Regency

Table 3: T Tes<table><tbody><tr><th></th><th></th><th></th><th></th><th>Test Value = 0</th><th></th></tr></tbody><tbody><tr><th></th><td>t</td><td>95% Confidence interval of the difference df Sig.(2 tailed) Mean Difference Lower Upper</td></tr><tr><th>Catch</th><td>11.129</td><td>23</td><td>.000</td><td>144.275 117.46</td><td>171.09</td></tr><tr><th>Catching tool</th><td>14.387</td><td>23</td><td>.000</td><td>1.500 1.28</td><td>1.72</td></tr></tbody></table>Table 3: T Tes

opencc-by-4.0Dec 2022View details →

Table 1 in Analysis of catch results per effort of catching red snapper (Lutjanus sp) in the waters of Lewalu village, Northwest Alor, Alor Regency

Table 1: Production of Red Snapper (Lutjanus sp) in Fishing Equipment Uni<table><tbody><tr><th>No</th><th>Months</th><th>Fishing Equipmen Hand Line Long Line</th><th>Production quantity (Kg)</th></tr></tbody><tbody><tr><th>1</th><td>Januari</td><td>96.4</td><td>78.3</td><td>174.7</td></tr><tr><th>2</th><td>Februari</td><td>98.2</td><td>57.4</td><td>155.6</td></tr><tr><th>3</th><td>Maret</td><td>112.1</td><td>102.4</td><td>214.5</td></tr><tr><th>4</th><td>April</td><td>195.2</td><td>144.5</td><td>339.7</td></tr><tr><th>5</th><td>Mei</td><td>135.2</td><td>118.7</td><td>253.9</td></tr><tr><th>6</th><td>Juni</td><td>174.2</td><td>154.2</td><td>328.4</td></tr><tr><th>7</th><td>Juli</td><td>213.3</td><td>215.4</td><td>428.7</td></tr><tr><th>8</th><td>Agustus</td><td>325.4</td><td>222.1</td><td>547.5</td></tr><tr><th>9</th><td>September</td><td>221.1</td><td>155.9</td><td>377</td></tr><tr><th>10</th><td>Oktober</td><td>154.2</td><td>124.2</td><td>278.4</td></tr><tr><th>11</th><td>November</td><td>89.3</td><td>130</td><td>219.3</td></tr><tr><th>12</th><td>Desember</td><td>89.5</td><td>55.4</td><td>144.9</td></tr><tr><th>TOTAL</th><td>1904.1</td><td>1558.5</td><td>3462.6</td></tr></tbody></table>t

opencc-by-4.0Dec 2022View details →

Table 2 in Analysis of catch results per effort of catching red snapper (Lutjanus sp) in the waters of Lewalu village, Northwest Alor, Alor Regency

Table 2: CPUE of Red Snapper<table><tbody><tr><th>No Month</th><th>Production (kg)</th><th>Standar Effort (Trip)</th><th>Standar CPUE (Kg/Trip)</th></tr></tbody><tbody><tr><th>1</th><td>Januari</td><td>174.7</td><td>24</td><td>7.279</td></tr><tr><th>2</th><td>Februari</td><td>155.6</td><td>24</td><td>6.483</td></tr><tr><th>3</th><td>Maret</td><td>214.5</td><td>27</td><td>7.944</td></tr><tr><th>4</th><td>April</td><td>339.7</td><td>30</td><td>11.323</td></tr><tr><th>5</th><td>Mei</td><td>253.9</td><td>27</td><td>9.404</td></tr><tr><th>6</th><td>Juni</td><td>328.4</td><td>27</td><td>12.163</td></tr><tr><th>7</th><td>Juli</td><td>428.7</td><td>27</td><td>15.878</td></tr><tr><th>8</th><td>Agustus</td><td>547.5</td><td>21</td><td>26.071</td></tr><tr><th>9</th><td>September</td><td>377</td><td>23</td><td>16.391</td></tr><tr><th>10</th><td>Oktober</td><td>278.4</td><td>26</td><td>10.708</td></tr><tr><th>11</th><td>November</td><td>219.3</td><td>25</td><td>8.772</td></tr><tr><th>12</th><td>Desember</td><td>144.9</td><td>26</td><td>5.573</td></tr><tr><th></th><td>Amount</td><td>3462.6</td><td>307</td><td>137.990</td></tr><tr><th></th><td>Average</td><td>288.550</td><td>26</td><td>11.499</td></tr></tbody></table>

opencc-zeroDec 2017View details →

Data from: Effects of sampling effort on biodiversity patterns estimated from environmental DNA metabarcoding surveys

Environmental DNA (eDNA) metabarcoding can greatly enhance our understanding of global biodiversity and our ability to detect rare or cryptic species. However, sampling effort must be considered when interpreting results from these surveys. We explored how sampling effort influenced biodiversity patterns and nonindigenous species (NIS) detection in an eDNA metabarcoding survey of four commercial ports. Overall, we captured sequences from 18 metazoan phyla with minimal differences in taxonomic coverage between 18 S and COI primer sets. While community dissimilarity patterns were consistent across primers and sampling effort, richness patterns were not, suggesting that richness estimates are extremely sensitive to primer choice and sampling effort. The survey detected 64 potential NIS, with COI identifying more known NIS from port checklists but 18 S identifying more operational taxonomic units shared between three or more ports that represent un-recorded potential NIS. Overall, we conclude that eDNA metabarcoding surveys can reveal global similarity patterns among ports across a broad array of taxa and can also detect potential NIS in these key habitats. However, richness estimates and species assignments require caution. Based on results of this study, we make several recommendations for port eDNA sampling design and suggest several areas for future research.

openother-openJul 2021View details →

Data and Code for: Drivers of seedling establishment success in dryland restoration efforts

Code and Raw data for: Drivers of seedling establishment success in dryland restoration efforts Restoration of degraded drylands is urgently needed to mitigate climate change, reverse desertification, and secure livelihoods for the two billion people who live in these areas. Bold global targets have been set for dryland restoration to restore millions of hectares of degraded land. These targets have been questioned as overly ambitious, but without a global evaluation of successes and failures, it is impossible to gauge feasibility. Here, we examine restoration seeding outcomes across 174 sites on six continents, encompassing 594,065 observations of 671 plant species. Our findings suggest reason for optimism. Seeding had a positive impact on species presence: in almost a third of all treatments, 100% of species seeded were growing at first monitoring. However, dryland restoration is risky: 17% of projects failed, with no establishment of any seeded species, and consistent declines were found in seeded species as projects matured. Across projects, higher seeding rates and larger seed sizes resulted in a greater probability of recruitment, with further influences of site aridity, taxonomic identity, and species lifeform on species success. Our findings suggest that investigations examining these predictive factors will yield more effective and informed restoration decision-making.

opencc-zeroJul 2021View details →

Male reproductive effort might be evolving in the face of devastating disease in a threatened amphibian

The devastating infectious disease chytridiomycosis has caused declines of amphibians across the globe, yet some populations are persisting and even recovering. One understudied effect of wildlife disease is changes in reproductive effort. Here we aimed to understand if disease has plastic effects on reproduction and if reproductive effort could evolve with disease endemism. We compared the effects of experimental pathogen exposure (trait plasticity) and population-level disease history (evolution in trait baseline) on reproductive effort using gametogenesis as a proxy in the declining and endangered frog Litoria verreauxii alpina. We found that unexposed males from disease-endemic populations had higher reproductive effort, which is consistent with an evolutionary response to chytridiomycosis. We also found evidence of trait plasticity, where males and females were affected differently by infection: pathogen exposed males had higher reproductive effort (larger testes), whereas females had reduced reproductive effort (smaller and fewer developed eggs) regardless of the population of origin. Infectious disease can cause plastic changes in reproductive effort at an individual level, and population-level disease exposure can result in changes to baseline reproductive effort; therefore, individual- and population-level effects of disease should be considered when designing management and conservation programs for threatened and declining species. --

opencc-by-4.0Sep 2018View details →

Figure 2 in The first DNA barcodes for the Australian platypus tick Ixodes ornithorhynchi Lucas, 1846 (Acari: Ixodidae) to facilitate conservation efforts for a declining parasite and its host

Figure 2 Phylogenetic relationships ofIxodes ornithorhynchi at the COI locus with published refer-

opencc-zeroJan 2023View details →

Dataset for attitude measures towards Dengue control efforts with the potential of digital technology during COVID-19

<div class="J0lOec">This data contains a questionnaire and a data set of structural equation modeling for Attitude Towards Dengue Control Efforts with the Potential of Digital Technology. The variables are grouped into six namely the need for digital information systems, perceptions of being threatened with dengue, the benefits of dengue control programs, program constraints on environmental factors and attitudes in dengue control. Data was collected online using Google Forms.</div>

opencc-zeroJan 2023View details →

Biases and distribution patterns in hard-bodied microscopic animals (Acari: Halacaridae): Size doesn't matter, but generalism and sampling effort do

Aim The interplay between distribution ranges, species traits, and sampling and taxonomic biases remain elusive amongst microscopic animals. This ignorance obscures our understanding of the diversity patterns of a major component of biodiversity. Here, we used marine Halacaridae to explore whether differences between marine provinces can explain their distribution patterns or if differential sampling efforts across regions prevent any macroecological inference. Furthermore, we test if certain functional traits influence their distribution patterns. Location Europe. Results Whereas geographical variables provided a better explanation for differences in species composition, sampling effort and distance from marine biological stations accounted for the majority of differences in European Halacaridae richness. Species occurring in more habitats showed broader geographical ranges and accumulated more records. Species traits like body size affected the distribution of halacarid species. Main conclusions We propose that the sampling effort of halacarid mites in Europe might be explained by two different cognitive biases: the convenience of selecting certain sampling localities compared to others, and the tendency of zoologists to scrutinize habitats where their target organisms are more common.

opencc-by-4.0Jan 2022View details →

Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts

The Drug-Gene Interaction Database (DGIdb, <a href="http://www.dgidb.org/">www.dgidb.org</a>) is a web resource that provides information on drug-gene interactions and druggable genes from publications, databases, and other web-based sources. Drug, gene, and interaction data are normalized and merged into conceptual groups. The information contained in this resource is available to users through a straightforward search interface, an application programming interface (API), and TSV data downloads. DGIdb 4.0 is the latest major version release of this database. A primary focus of this update was integration with crowdsourced efforts, leveraging the Drug Target Commons for community-contributed interaction data, Wikidata to facilitate term normalization, and export to NDEx for drug-gene interaction network representations. Seven new sources have been added since the last major version release, bringing the total number of sources included to 41. Of the previously aggregated sources, 15 have been updated. DGIdb 4.0 also includes improvements to the process of drug normalization and grouping of imported sources. Other notable updates include the introduction of a more sophisticated Query Score for interaction search results, an updated Interaction Score, the inclusion of interaction directionality, and several additional improvements to search features, data releases, licensing documentation and the application framework.

opencc-zeroJul 2023View details →

Data from: Not all mammalian small carnivores are equal: A global review of the research effort in urban areas

Human population increase and anthropogenic land-use changes are impacting biodiversity globally. Information on their impacts on urban wildlife is becoming increasingly apparent. Despite an increasing trend in urban wildlife studies, a systematic assessment of mammalian small carnivores in urban areas is lacking. We evaluated urban studies in international peer-reviewed journals using a systematic review process. We assessed urban wildlife publications from 1970–2021 to quantify trends over time regarding the taxonomic family and geographical focus of publications across the globe. Urban small carnivore studies have increased progressively through the decades, with 87.2% of all studies conducted in the last 20 years. Geographically, we found that small carnivore studies were disproportionately conducted, with 77.0% of all studies taking place in either North America (46.5%) or Europe (30.5%). Furthermore, the United States of America (39.8%) and the United Kingdom (11.4%) contributed to 51.2% of all studies focused on small carnivores. We found seven carnivore families represented in urban studies, consisting of 76 species. Two canid species, Vulpes vulpes (21.9%) and Canis latrans (16.9%), accounted for 38.8% of all studies conducted on urban small carnivores. The majority of studies took place in mixed or urban areas (79.8%), with suburban and exurban zones explored to a lesser extent (16.6%). Animal behaviour was the most studied scientific topic (24.6%), with the least being species conservation (0.3%). Critical gaps persist in the research of small mammalian carnivores, particularly in rapidly urbanising areas of Asia, Africa, and South America. While the field of urban ecology will certainly continue to advance, we urge future research to adopt a multi-disciplinary stance that explores the landscape transitional zones, from the periphery of the urban core (sub-urban, peri-urban, and exurban) into natural systems; or urban mosaic landscapes with natural and managed green spaces as refugia. The importance of urban fringe and margin areas for small carnivores remains largely unclear.

opencc-by-4.0Sep 2023View details →

Physical Effort Scale (PES)

Dataset and script related to the development and validation of the Physical Effort Scale (PES) This dataset includes: For the sample 1 - the raw data for the sample 1 "Physical Effort Scale Data Fall 2022.xlsx" - The R Markdown script for the analyses "pes_effort_quanti_sample1.Rmd" and the resulting html "pes_effort_quanti_sample1.html"   For the sample 2 - the raw data for the sample 2 "Échelle d'effort physique - Partie 1_Printemps.xlsx"; "Échelle d'effort physique - Partie 2_Printemps.xlsx"; "Échelle d'effort physique - Partie 2.1.xlsx"; and "Échelle d'effort physique - Partie 2.2.xlsx". - The R Markdown script for the analyses "pes_effort_quanti_sample2.Rmd" and the resulting html "pes_effort_quanti_sample2.html"

opencc-by-4.0Oct 2023View details →

Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs- Dive metadata

Meta data for deep submergence dive locations associated with "Mind the Gap: Comparing Exploration Effort with Global Biodiversity Patterns and Climate Projections to Determine Ocean Areas with Greatest Exploration Needs" published in Frontier of Marine Science 2023.

controlledIPD-YESFeb 2026View details →

Real-time Effort Driven VENTilator Management

ClinicalTrials.gov study NCT03266016. IPD Sharing: YES. Countries: 1. Publications: 7.

restrictedIPD-UNDECIDEDFeb 2026View details →

Effort to Prevent Nosocomial Pneumonia Caused by Pseudomonas Aeruginosa in Mechanically Ventilated Subjects

ClinicalTrials.gov study NCT02696902. IPD Sharing: Not stated. Countries: 14. Publications: 1.

controlledIPD-YESFeb 2026View details →

Is the Degree of Perceived Effort During Resistance Exercise Important for Improvements in Blood Glucose

ClinicalTrials.gov study NCT06208189. IPD Sharing: YES. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

Indiana Palliative Excellence in Alzheimer's Care Efforts

ClinicalTrials.gov study NCT03773757. IPD Sharing: NO. Countries: 1. Publications: 5.