Find research datasets worth reusing

opencc-by-4.0Aug 2007View details →

Fig. 18 in Revision of the Small Tropical Whipsnakes Previously Referred to Demansia olivacea (Gray, 1842) and Demansia torquata (Günther, 1862) (Squamata: Elapidae)

Fig. 18. Holotype of Demansia shinei (NTM R6489).

Experimental raw data sets associated with certified reference material BAM-P116 (titanium dioxide) for comparison of nitrogen and argon sorption, available in the universal adsorption information format (AIF)

These data sets serve as models for calculating the specific surface area (BET method) using gas sorption in accordance with ISO 9277. The present measurements were carried out with nitrogen at 77 Kelvin and argon at 87 Kelvin. It is recommended to use the following requirements for the molecular cross-sectional area: Nitrogen: 0.1620 nm² Argon: 0.1420 nm² Expected specific surface area for nitrogen (BET): 305 to 345 m²/g Expected specific surface area for argon (BET): 300 to 310 m²/g Titanium dioxides certified with nitrogen sorption and additionally measured with argon for research purposes were used as sample material. The resulting data sets are intended to serve as comparative data for own measurements and show the differences in sorption behaviour and evaluations between nitrogen and argon. These data are stored in the universal AIF format (adsorption information format), which allows flexible use of the data.

opencc-by-4.0Nov 2023View details →

Simulation data and surrogate model for the DTU 10MW reference wind turbine including down-regulation, power boosting and individual blade control

This contribution provides the simulated data and surrogate models for the DTU 10 MW reference wind turbine in an onshore configuration simulated with FAST v8.16.00. The dimensions include mean wind speed, turbulence intensity, and power level, as well as the application of an individual blade control (IBC) loop. Down-regulation up to 50% is considered using two controller trajectories. The constTSR trajectory considers only pitching for down-regulation, maintaining a constant tip speed ratio, and the lin70 trajectory considers both pitch and rotational speed reduction to achieve down-regulation. Power boosting is performed up to 130% power level by following the optimal Cp trajectory until the requested power level is reached. The regression is done with two methods: a spline-based interpolation and a  Gaussian Process Regression (GPR). The raw data, smoothened data, and the trained GPR models are provided along with scripts for generating the surrogate model's predictions with both methods. A short description of the simulation parameters and variables considered is given in the supplementary pdf file. The dataset is part of the doctoral thesis 'Wind Turbine Operational Optimization Considering Revenue and Fatigue Objectives' by Vasilis Pettas at the University of Stuttgart (<a href="http://dx.doi.org/10.18419/opus-13959">http://dx.doi.org/10.18419/opus-13959</a>) and the journal publication 'Surrogate Modeling and Aeroelastic Analysis of a Wind Turbine with Down-Regulation, Power Boosting, and IBC Capabilities' <a href="https://doi.org/10.3390/en17061284">(https://doi.org/10.3390/en17061284</a>). Detailed analysis of the controller design and validation of the surrogate models can be found in these publications.

openJul 2023View details →

Low-Complexity Domains (LCDs) in UniProt Reference Proteomes

This is a comprehensive dataset of low-complexity domains in UniProt reference proteomes. For the purposes of this dataset, LCDs were identified using the LCD-Composer algorithm with default parameters for each of the 20 canonical amino acids. These searches identify "primary" LCDs, defined as protein regions for which a single type of amino acid comprises at least 40% of the region. In addition, separate searches were performed to identify "secondary" LCDs, which are defined as regions for which a single type of amino acid comprises at least 40% of the region and a second type of amino acid comprises at least 20% of the same region. Note that secondary LCDs exhibit very strong spatial overlap with primary LCDs and may be considered, approximately speaking, a subset of primary LCDs. There are seven main components to this dataset: <ol> <li>Primary and secondary LCDs for the original reference proteomes from UniProt (downloaded 8/22/2022). <ul> <li>These data are found within four zipped archives ending in "_LCDs.zip", one for each domain of life (Archaea, Bacteria, Eukaryota, and Viruses).</li> <li>Within each zipped archive, results are contained in a pair of files for each organism. The start of the file name is the organism's UniProt ID. For each organism, the pair of files are: primary LCDs are contained within the file ending in "_LCDcomposer_RESULTS.tsv", whereas secondary LCDs are contained within the file ending in "_LCDcomposer_SecondaryLCDs_RESULTS.tsv".</li> <li>Reference proteomes analyzed for each organism are also provided in separate zipped archives, one for each domain of life.</li> </ul> </li> <li>Primary and secondary LCDs for a scrambled version of each proteome mentioned above. <ul> <li>These searches were performed using identical search parameters and are included for statistical comparisons.</li> <li>When scrambling the proteomes, each protein sequence was scrambled individually to maintain its amino acid composition.</li> <li>File formats are identical to those described above except that all files will have "SCRAMBLED" in the name to distinguish them from analyses of original (i.e. native) proteomes.</li> </ul> </li> <li>The "SecondaryLCDs_by_LCDcategory.zip" archive contains all secondary LCDs from the original proteomes but parsed by LCD category rather than by organism. <ul> <li>These LCDs are identical to those in #1 above but are provided in this format to aid those interested in specific types of LCDs and which organisms contain them.</li> </ul> </li> <li>The "GOA_files.zip" archive contains gene ontology files necessary for reproducing analyses in Cascarina and Ross (2024).</li> <li>The "Pfam_Data.zip" archive contains files with Pfam annotations in LCD-containing proteins and Pfam clan information. These files are necessary for reproducing analyses in Cascarina and Ross (2024).</li> <li>The "Observed_vs_Scrambled_LCDfrequency_Statistics.zip" archive contains results of statistical analyses of LCD enrichment or depletion in native ("Observed") proteomes compared to scrambled proteomes. Enrichment is defined as the native proteome having more LCD-containing proteins for a particular LCD type compared to a scrambled version of that proteome. Depletion is defined as the native having containing fewer LCD-containing proteins for a particular LCD type compared to a scrambled version of that proteome. In cases were 0 instances of an LCD class occurred in the native proteome, scrambled proteome, or both, biased estimates for the natural log of the odds ratio ("lnOR") and p-value were calculated by first adding 1 to all cells in the contingency table.</li> <li>The "RandomlySelectedOrganisms.zip" archive contains LCD-Composer results for 50 randomly selected organisms from each domain of life with the window size and composition thresholds used during the LCD searches varied systematically.</li> </ol>

List of references used in the bibliometric analysis of Chapter 2 - History of Research About the Tropical Brazilian Coral Reef Systems - Book: Brazilian Coral Reefs

This list contains 755 references related to coral reefs research. This list was obtained through a search for articles and book chapters in the databases Web of Science and Scopus, using the terms "reef" and "Brazil" in Title, Abstract and Keywords, added to references included from the authors own databases. The search was made in February, 12th 2021.

GENDER DIVERSITY AND ITS IMPACT ON THE WOMEN PARTICIPATION IN THE WORKFORCE: WITH REFERENCE TO INDIAN CORPORATE SECTOR. (HRM: PARTICIPATION OF WOMEN IN THE WORK FORCE

Gender roles have been two different sized fruits on the same tree branch since olden times.  The distinguished rule book for both males and females which had been followed for since  long still has its effects widely seen in the Indian corporate sector also. With the recurrent  fluctuation experienced in the women participation in the Indian workforce, the main pulling  back factor always has been Gender Diversity issues. There are many workplace factors  which infuse more power to this aspect called gender diversity; some of which are out of  one’s control while many of which are manageable. These factors include salary range, job  positions, promotional opportunities, workplace behavior and many more. The list is endless,  but the impact of all the gamut of such aspects has to be borne by the female employees. This  paper is a descriptive analysis on the effect of various factors on the gender diversity issues in  Indian Corporate sector. Secondary data has been used in order to correlate the factors like  salary, promotional opportunities, and other factors in the corporate sector with the gender  diversity issues. The statistical evidences have been depicted with the help of graphs and pie  charts which would contribute in making the whole situation of diversity issues more crystal  clear and transparent for the readers. The paper is an attempt towards finding the in-depth  causes for the ups and downs in the women participation in the nations’ workforce and also to  bring about a change in the current plight of female workers in Indian Corporate sector

opencc-by-4.0Sep 2017View details →

S-LDSC reference files

#1/15/2024: New version includes 107 independent summary statistics in the file sumstats_indep107.tgz #8/28/2023: New version includes the file hm3_no_MHC.list Files required to partition heritability with S-LDSC. Reference, baseline and baseline-LD files for EUR populations: 1000G_Phase3_baseline_v1.2_ldscores.tgz 1000G_Phase3_baselineLD_v2.2_ldscores.tgz 1000G_Phase3_baselineLD_v2.3_ldscores.tgz 1000G_Phase3_frq.tgz 1000G_Phase3_ldscores.tgz 1000G_Phase3_plinkfiles.tgz 1000G_Phase3_weights_hm3_no_MHC.tgz baselineLD_v2.2_bedfiles.tgz GRCh38.tgz readme_baseline_versions Sumstats files for EUR populations: sumstats_indep107.tgz (NEW) sumstats.tgz (old) Reference, baseline and baseline-LD files for EAS populations: 1000G_Phase3_EAS_baseline_v1.2_ldscores.tgz 1000G_Phase3_EAS_baselineLD_v2.2_ldscores.tgz 1000G_Phase3_EAS_plinkfiles.tgz 1000G_Phase3_EAS_weights_hm3_no_MHC.tgz List of HapMap3 SNPs outputed when computing LD scores: hm3_no_MHC.list

dryad36/100

LsRTDv1: A reference transcript dataset for accurate transcript-specific expression analysis in lettuce

Accurate quantification of gene and transcript-specific expression, with the underlying knowledge of precise transcript isoforms, is crucial to understanding many biological processes. Analysis of RNA sequencing data has benefited from the development of alignment-free algorithms which enhance the precision and speed of expression analysis. However, such algorithms require a reference transcriptome. Here we present a reference transcript dataset (LsRTDv1) for lettuce, combining long- and short-read sequencing with publicly available transcriptome annotations, and filtering to keep only transcripts with high-confidence splice junctions and transcriptional start and end sites. LsRTDv1 is a valuable resource for the investigation of transcriptional and alternative splicing regulation in lettuce.

opencc-zeroFeb 2024View details →

dryad36/100

Data from: The Drosophila Genetic Reference Panel (DGRP) on locomotor activity across different environmental conditions

In nature, organisms are exposed to variable and occasionally stressful environmental conditions. Responses to diurnal and seasonal fluctuations, such as temperature and food accessibility, involve adaptive behavioral and physiological changes. While much work has been done on understanding the genetic architecture and evolutionary potential of stress tolerance traits under constant thermal conditions, there has been less focus on the quantitative genetic background in variable environments. In this study, we use the Drosophila Genetic Reference Panel (DGRP) to investigate locomotor activity, a key behavioral trait, under variable natural thermal conditions during the summer in a temperate environment. Male flies from 100 DGRP lines were exposed to natural thermal and light conditions in Drosophila activity monitors across three experimental days. We found that activity was highly temperature- and time-dependent and varied between lines both within and between days. Further, we observed variation in genetic and environmental variance components, with low to moderate estimates of the heritability for locomotor activity, consistently peaking in the afternoons. Moreover, we showed that the estimated genetic correlations of locomotor activity between two time points decreased as the absolute differences in ambient temperature was increased. In conclusion, we find that the genetic background for locomotor activity is environment specific and we conclude that more variable and unpredictable future temperatures will likely have a strong impact on the evolutionary trajectories of behavioral traits in ectotherms.

opencc-zeroFeb 2024View details →

Reference depth rendered from faro scanner mesh

This is the reference depth rendered from the faro scanner mesh with the pose contained in transformation_colmap.json.

opencc-by-4.0Mar 2024View details →

Data referring to the Article "Harmonized Skies: A Survey on Drone Acceptance across Europe" published in Drones Journal

The material provided is part of the article "Harmonized Skies: A Survey on Drone Acceptance across Europe," published in the Drones Journal (https://doi.org/10.3390/drones8030107). This article describes a study investigating civil drone acceptance in six different EU countries. This study was part of the USpace4UAM project (Grant Agreement No 101017643). The material includes the data set for the study described and the Python codes for the random forest analysis carried out to investigate the influence of demographic and personnel factors on drone acceptance.

reference proteins for large DNA viruses

Open the record for dataset details and reuse information.

Reference Energy System for the Residential Sector

This diagram illustrates a reference energy system designed for the residential sector. This visual aid can support the development of models on OSeMOSYS, LEAP, TIMES, or other energy modelling tools, as well as facilitate the integration of energy planning models like MAED and OSeMOSYS, or others. This material has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies.

Reference Energy System for the Industry Sector

This diagram illustrates a reference energy system designed for the industry sector. This visual aid can support the development of models on OSeMOSYS, LEAP, TIMES, or other energy modelling tools, as well as facilitate the integration of energy planning models like MAED and OSeMOSYS, or others. This material has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies.

Reference Energy System for the Services Sector

This diagram illustrates a reference energy system designed for the services sector. This visual aid can support the development of models on OSeMOSYS, LEAP, TIMES, or other energy modelling tools, as well as facilitate the integration of energy planning models like MAED and OSeMOSYS, or others. This material has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies.

Reference Energy System for the Transport Sector

This diagram illustrates a reference energy system designed for the transport sector. This visual aid can support the development of models on OSeMOSYS, LEAP, TIMES, or other energy modelling tools, as well as facilitate the integration of energy planning models like MAED and OSeMOSYS, or others. This material has been produced with support from the Climate Compatible Growth (CCG) programme. CCG is funded by UK aid from the UK government. However, the views expressed herein do not necessarily reflect the UK government's official policies.

Onload Tap Changer reference voltage Dataset at different loading condition

The dataset contain the reference voltage of onload tap changer (OLTC) at different loading condition for a month. In addition, the hourly voltages of the feeders regulated by the OLTC are present in the dataset at the corresponding loading conditions

human-oral-v1-0-1 reference for LocalHGT

Please download the file human-oral-v1-0-1.fasta.gz and unzip it by "gzip -d human-oral-v1-0-1.fasta.gz".  After that, pass the full path of the file "human-oral-v1-0-1.fasta" to LocalHGT by "localhgt bkp -r /path-to/human-oral-v1-0-1.fasta" or  "localhgt event -r /path-to/human-oral-v1-0-1.fasta". "human-oral-v1-0-1.fasta.fai" is the index file, you can download it or not. If you download it, you should put it in the same folder as human-oral-v1-0-1.fasta. If you don't download it, LocalHGT will generate it automatically. The file genomes-all_metadata.tsv records the taxonomy information of each genome. If you want to analyze HGTs in human oral microbiome, you can use this reference. Detailed instructions can be seen at <a href="https://github.com/deepomicslab/LocalHGT">LocalHGT</a>.

human-vaginal-v1-0 reference for LocalHGT

Please download the file human-vaginal-v1-0.fasta.gz and unzip it by "gzip -d human-vaginal-v1-0.fasta.gz".  After that, pass the full path of the file "human-vaginal-v1-0.fasta" to LocalHGT by "localhgt bkp -r /path-to/human-vaginal-v1-0.fasta" or  "localhgt event -r /path-to/human-vaginal-v1-0.fasta". "human-vaginal-v1-0.fasta.fai" is the index file, you can download it or not. If you download it, you should put it in the same folder as human-vaginal-v1-0.fasta. If you don't download it, LocalHGT will generate it automatically. The file genomes-all_metadata.tsv records the taxonomy information of each genome. If you want to analyze HGTs in human oral microbiome, you can use this reference. Detailed instructions can be seen at <a href="https://github.com/deepomicslab/LocalHGT">LocalHGT</a>.

UHGG v2 reference for LocalHGT

Genome reference for HGT analysis in human gut microbiome, specifically for <a href="https://github.com/deepomicslab/LocalHGT">LocalHGT</a> with <a href="https://www.nature.com/articles/s41587-020-0603-3">UHGG </a>v2.0.2.   Usage: 1. Please download the file UHGG_v2.0.2_representative.fasta.gz and unzip it by  <code>gzip -d UHGG_v2.0.2_representative.fasta.gz</code> After that, pass the full path of the file "UHGG_v2.0.2_representative.fasta" to LocalHGT by  <code>localhgt bkp -r /path-to/UHGG_v2.0.2_representative.fasta </code>or  <code>localhgt event -r /path-to/UHGG_v2.0.2_representative.fasta</code> 2. UHGG_v2.0.2_representative.fasta.fai is the index file, you can download it or not.  If you download it, you should put it in the same folder as UHGG_v2.0.2_representative.fasta. If you don't download it, LocalHGT will generate it automatically.   Detailed instructions can be seen at <a href="https://github.com/deepomicslab/LocalHGT">LocalHGT</a>.