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6,025 results for “Science of science”
Systematic literature review PRISMA model results about extended, virtual and augmented reality applied to Science Communication
<p>The results of the PRISMA process of the systematic literature review carried out about results about extended, virtual and augmented reality applied to Science Communication.</p>
A data science approach to climate change risk assessment applied to pluvial flood occurrences for the United States and Canada (Supplementary Material)
<p>This resource is tied to manuscript "A data science approach to climate change risk assessment applied to pluvial flood occurrences for the United States and Canada".</p> <p>It contains: (1) a PDF with additional details on the implementation of GLM, GAM and RF, summarized outputs for two models, a bias analysis of the CRCM and extensive tables from Section 5.2; (2) full outputs for two models; (3) high-resolution figures, and; (4) rasters for selected figures.</p> <p>**</p> <p>Version 2 adds a log-log version of Figure 9 and changes the main PDF file to remove blue section titles.</p>
e One Week Online Short Term Course on "Library and Information Science"
<p><strong>e One Week Online Short Term Course on “Library and Information Science” </strong></p>
Database of feed efficiency indicators of intensive fattening lambs of sheep breeds in Latvia in 2nd trial (A23) with-in the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project
<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal’s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the second year: 2023, or A23 group, which consists of 92 intensively fattened lambs from eight breeds, including LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study.</span></p> <p><span>The database contains data on ultrasonography measurements of lambs during the beginning and end of fattening, intensive fattening data - actual and calculated on the 90th and 150th day, the amount of feed used and slaughter data. Ultrasonography data were used to calculate muscle and/or fat depth changes at the 13th rib during the fattening period.</span></p> <p><span><span>Based on the requirements of the breeding program of the breeds (LAAA, 2022), every year, the offspring of the sire ram, certified for breeding activity, are selected and analysed to estimate the sire rams.</span></span><span><span> </span></span><span><span>All lambs were born as twins, triplets or quadruplets from different ewes and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with the Latvian Sheep Breeders' Association </span></span><span>at<span> the ram breeding control station.</span></span></p> <p><strong><span> </span></strong></p> <p><span>The data is the<strong><span> joint property</span></strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></p>
Database of methods of significant SNPs analysed in DNA of the 2nd trial (A23) within the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project
<p>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”.</p> <p>The <strong>aim of the project</strong> is to determine whether the feed efficiency status of Latvian meat sheep breeds could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</p> <p><strong>Novelty</strong>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency based on molecular and genetic markers obtained from the blood of live lambs.</p> <p><strong>About the project:</strong></p> <p>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development. Feed efficiency in growing lambs (i.e., the animal’s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</p> <p>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in feed efficiency that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</p> <p><strong>About the data of the project:</strong></p> <p>The database contains methodologies for 57 SNPs, for which a statistically significant association with one of the feed efficiency indicators was found in the project's first group (A22). A laboratory-based genotyping method was developed for each selected SNP, which was tested using samples from the A22 group; the results were obtained using the NGS methodology.</p> <p> </p> <p><strong> </strong></p> <p>The data is the<strong> joint property</strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</p>
Database of biochemistry data of intensive fattening lambs of sheep breeds raised in Latvia in 2022 within the framework of project of the Latvian Council of Science: LZP-2021/1-0489
<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: To determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal’s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the second year: 2023, or A23 group, which consists of 92 intensively fattened lambs from eight breeds, including the LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study. The dataset includes data on biochemical indicators: Insulin-like growth factor 1, Insulin, Total thyroxine, Adrenocorticotropic hormone, Haematocrit, Hemoglobin, and Glucose. The blood samples for tests were taken before intensive fattening at a mean age of 92 days (interval from 64 to 109 days). Fattening starting age depends on body weight when lambs are separated from their mothers.</span></p> <p><span><span>Based on the requirements of the breeding program of the breeds (LAAA, 2022), every year, the offspring of the sire ram, certified for breeding activity, are selected and analysed to estimate the sire rams.</span></span><span><span> </span></span><span><span>All lambs were born as twins, triplets, or quadruplets from different ewes, and health status was assessed before inclusion in the study so that there were at least two lambs per sire ram from the breed. This study was carried out in cooperation with the Latvian Sheep Breeders' Association </span></span><span>at<span> the ram breeding control station. </span></span></p> <p><strong><span> </span></strong></p> <p><span>The data is the<strong><span> joint property</span></strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></p>
Database of expression analysis of samples of the 1st trial (A22) of sheep breeds in Latvia within the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project
<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal’s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the year 2022, or the A22 group, which consists of 76 intensively fattened lambs from six breeds. The blood samples for RNA extraction were taken after intensive fattening at an average body weight of 45 – 50 kg.</span></p> <p><span>Gene expression levels were determined using qPCR methodology using the GAPDH gene as a reference. Three genes were analysed in the project: MTOR (The mechanistic mammalian target of rapamycin), CAST (Calpastatin) and UPC3 (uncoupling protein 3).</span></p> <p><span>The data obtained will be used to determine the changes in expression levels related to gene variations (MTOR: <a href="https://doi.org/10.5281/zenodo.8146731">https://doi.org/10.5281/zenodo.8146731</a>; CAST: <a href="https://doi.org/10.5281/zenodo.8146372">https://doi.org/10.5281/zenodo.8146372</a>; UPC3: <a href="https://doi.org/10.5281/zenodo.8146778">https://doi.org/10.5281/zenodo.8146778</a>); <span> </span>as well as to analyze the relationship of expression levels with biochemical parameters (<a href="https://doi.org/10.5281/zenodo.8143225">https://doi.org/10.5281/zenodo.8143225</a>) and feed efficiency indicators (<a href="https://doi.org/10.5281/zenodo.8143244">https://doi.org/10.5281/zenodo.8143244</a>) of lambs.</span></p> <p><strong><span> </span></strong></p> <p><span>The data is the<strong><span> joint property</span></strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></p>
Database of MSTN gene multi-loci genotypes of samples of the 1st trial (A22) of sheep breeds of Latvia within the framework of the project of the Latvian Council of Science LZP-2021/1-0489 project
<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal’s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><span>Myostatin (MSTN), a highly conserved member of the transforming growth factor-beta (TGF-b) superfamily, also known as growth/differentiation factor 8 (GDF8), the major regulator of myogenesis, functions as a negative regulator of muscle growth and development in mammals. Myostatin is a transforming growth factor (TGF)-β superfamily member and cannot be classified into the existing TGF-β subfamilies, such as inhibins or bone morphogenic proteins.<span> Mutations <em><span>MSTN</span></em> produce a “double-muscle” phenotype, making it commercially invaluable for improving livestock meat production and providing high-quality human protein. However, mutations at different loci of the <em><span>MSTN</span></em> often produce a variety of different phenotypes.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the year 2022, or the A22 group, which consists of 76 intensively fattened lambs from six breeds.</span></p> <p><span><span>The whole MSTN gene was sequenced using Illumina NGS technology (AmpliSeq).</span></span><span><span> </span></span><span><span>The MSTN gene has been fully sequenced in lambs of Latvia (in sheep research in Latvia) for the first time. Information about 23 loci (</span></span><span><a href="https://doi.org/10.5281/zenodo.8146724"><span>https://doi.org/10.5281/zenodo.8146724</span></a></span><u><span>)</span></u><span><span> <span>compared with the last </span></span></span><span>reference sequences <span>ARS_UI_Ramb_v2.0.</span></span></p> <p><span>All variable SNPs in the MSTN gene were constructed by combining 24 distinct multi-loci genotypes. Reducing the number of loci to 16 by excluding those variables in only one sample or complete linkage disequilibrium did not decrease the number of genotypes. Among these 16 loci, 12 multi-locus genotypes were found in only one sample. To streamline the association analysis, the MSTN gene was divided into four regions: the promoter and exon 1, intron 1, intron 2, and the 3′UTR. This division helped reduce the number of multilocus genotypes.</span></p> <p><span>The database contains information on multiloci genotypes for four regions of the MSTN gene. </span><span>The multi-locus genotypes are presented using standard IUB/IUPAC nucleic acid codes, representing the genotype of two alleles at a single locus with a single letter.</span></p> <p> </p> <p><span><span>The data is the<strong><span> joint property</span></strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies</span></span></p>
Database of genotypes of significant SNPs of samples of the 2nd trial (A23) of sheep breeds in Latvia within the framework of the project of the Latvian Council of Science LZP-2021/1-0489
<p><span>Project of The Latvian Council of Science (LCS) - LZP-2021/1-0489 project: “<strong>Development of an innovative approach to identify biological determinants involved in the between-animal variation in feed efficiency in sheep farming</strong>”.</span></p> <p><span>The <strong>aim of the project</strong> is</span><span> to determine whether the feed efficiency status of <span>Latvian meat sheep breeds</span> could be predicted using a panel of genetic and molecular markers previously found to be associated with divergent FE status in a training population of lambs when fed the same diet.</span></p> <p><strong><span>Novelty</span></strong><span>: to determine the parameters predicting the most productive result of lamb rearing, we set out to develop the cheapest and most effective method for determining markers of feed efficiency - based on molecular and genetic markers obtained from the blood of live lambs. </span></p> <p><strong><span>About the project:</span></strong></p> <p><span>The costs associated with lambing (buying or keeping sheep) and preparing or purchasing feed are the two most significant components of variable costs in sheep raising. Feed costs are high due to poor grain growing conditions in major producing countries, the use of feed grains in ethanol production, and increased competition for land in crop production compared to urban development<span>.</span> <span>Feed efficiency </span>in growing lambs (i.e., the animal’s ability to reach a market or adult body weight (BW) with the least feed intake) is a critical factor in the sheep industry. <span>Improving FE reduces production costs. Improving FE by 5% can bring economic benefits up to four times higher than a 5% increase in average daily gain (ADG).</span></span></p> <p><span>Traditionally, meat breeding programs have focused on outputs due mainly to the routine availability of phenotypic data on outputs or correlated traits. Currently, no marker has successfully explained enough of the variability in <span>feed efficiency </span>that they were used as part of a routine improvement program. According to our data, no genetic parameters for performance and feed efficiency traits are available for sheep. <span>The physiological determinants of feed efficiency or putative biomarkers used to analyse animal-to-animal variation in live lambs could be a cost-effective and rapid tool for genetic selection or management decisions.</span></span></p> <p><strong><span>About the data of the project:</span></strong></p> <p><span>LZP-2021/1-0489 project data on lamb samples of the second year: 2023, or A23 group, which consists of 92 intensively fattened lambs from eight breeds, including LT breed, which were raised in the meadow and are semi-sibi lambs within the scope of the study.</span></p> <p><span>The database contains genotyping results for 57 SNPs, for which a statistically significant association with one of the feed digestion indicators was found in the project's first group (A22). A laboratory-based genotyping method was developed for each selected SNP, which was tested using samples from the A22 group; the results were obtained using the NGS methodology.</span></p> <p><span>In the database, SNPs are coded with a laboratory code and an rs ID number. The gene in which the SNP is located is also indicated. The genotypes of each SNP are presented using standard IUB/IUPAC nucleic acid codes, representing the genotype of two alleles at a single locus with a single letter. </span></p> <p><strong><span> </span></strong></p> <p><span>The data is the<strong><span> joint property</span></strong> of the participants of the LCS project: the University of Latvia and the Latvian University of Life Sciences and Technologies.</span></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>
Data of the paper "A Technique for the Array Partitioning" submitted to Radio Science
<p>Data set of the case A of the paper. The .mat file contains the data, and the .m file uses the data to get the figures of the paper. </p>
Figure 2 from: Villarroel AE, Menegoz K, Le Quesne C, Moreno-Gonzalez R (2022) Valeriana praecipitis (Caprifoliaceae), a species new to science and endemic to Central Chile. PhytoKeys 189: 81-98. https://doi.org/10.3897/phytokeys.189.73959
Figure 2 Holotype of Valeriana praecipitis.
Figure 2 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 2 - Break-out group discussion at the 2nd Stakeholder Roundtable (Credit: Florian Wetzel)
Figure 5 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 5 - Biodiversity observation - from observation to data usage
Figure 1 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 1 - Totally recorded occurrences in 80 European CS data portals and publicly shared in GBIF.
Figure 5 from: Breure A (2011) Annotated type catalogue of the Orthalicoidea (Mollusca, Gastropoda) in the Royal Belgian Institute of Sciences, Brussels, with descriptions of two new species. ZooKeys 101: 1-50. https://doi.org/10.3897/zookeys.101.1133
Figure 5 - A–B, i Dryptus funckii (Nyst, 1843), lectotype RBINS/MT2352 (H=86.3).
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.
Build better LibGuides: A dataset of Political Science, Public Affairs, and International Studies LibGuides
<p>The dataset that accompanies the "Build Better LibGuides" chapter of <em>Teaching Information Literacy in Political Science, Public Affairs, and International Studies</em>. This dataset was created to compare current practices in Political Science, Public Affairs, and International Studies (PSPAIS) LibGuides with recommended best practices using a sample that represents a variety of academic institutions. Members of the ACRL Politics, Policy, and International Relations Section (PPIRS) were identified as the librarians most likely to be actively engaged with these specific subjects, so the dataset was scoped by identifying the institutions associated with the most active PPIRS members and then locating the LibGuides in these and related disciplines. The resulting dataset includes 101 guides at 46 institutions, for a total of 887 LibGuide tabs.</p>
Data from: Despite short-lived changes, COVID-19 pandemic had minimal large-scale impact on citizen science participation in India
<p>This dataset contains the filtered and processed data files used in the analyses for the paper titled "Despite short-lived changes, COVID-19 pandemic had minimal large-scale impact on citizen science participation in India". These are <code>.Rdata</code> files that can be readily imported into the R environment (all analyses were performed in the R environment using RStudio).</p> <p>It is important to note that these data files were derived from publicly available datasets, and that the entire analytical workflow is reproducible (see <a href="https://github.com/rikudoukarthik/covid-ebirding/blob/main/README.md">the Github repository</a> for more details). Below is a summary of the datasets used:</p> <h2>Data</h2> <p>The analysis is centred around eBird data from India, which is publicly available but is a very large file.</p> <ul> <li><a href="https://ebird.org/data/download/ebd" rel="nofollow"><em>eBird Basic Dataset (EBD)</em></a><em>, relMay-2022</em>: The current version of this dataset is much more recent and contains data after May 2022, but filtering it should produce a fairly similar dataset to the ones used in this study, with only minor changes. (The processed version of this EBD ready for analyses is <code>data0_MY_d_slice.RData</code>).</li> <li><em>Shapefiles</em>: <code>maps_sf.RData</code> contains admin unit polygons, and <code>grids_st_sf.RData</code> contains country-wide grids of multiple resolutions.</li> <li><a href="https://lpdaac.usgs.gov/products/mcd12q1v006/" rel="nofollow"><em>MODIS Land Cover Type Product MCD12Q1</em></a>: The processed data is available as <code>rast_UNU.RData</code>, but deleting this before starting the analysis will force fresh LULC data files from MODIS to be produced from the script.</li> <li><em>Timeline of COVID classification</em>: Available <code>covid_classification.csv</code>. Classification of the timeline of interest into various COVID categories.</li> </ul> <h2>Abstract</h2> <p>Many parts of the world lack the large and coordinated volunteer networks required for systematic monitoring of bird populations. In these regions, citizen science (CS) programmes offer an alternative with their semi-structured data, but the utility of these data is contingent on how, where, and how comparably birdwatchers watch birds, year on year. Trends inferred from the data can be confounded during years when birdwatchers may behave differently, such as during the COVID-19 pandemic. We wanted to ascertain how the data uploaded from India to one such CS platform, eBird, were impacted by this deadly global pandemic. To understand whether eBird data from the pandemic years in India are comparable to data from adjacent years, we explored several characteristics of the data, such as how often people watched birds in groups or at public locations, at multiple spatial and temporal scales. We found that the volume of data generated increased during the pandemic years 2020--21 compared to 2019. Data characteristics changed largely only during the peak pandemic months (April--May 2020 and April--May 2021) associated with high fatality rates and strict lockdowns. These changes in data characteristics (e.g., greater site fidelity and less group birding) were possibly due to the decreased human mobility and social interaction in these periods. The data from the remainder of these restrictive years remained similar to those of the adjacent years, thereby reducing the impact of the aberrant peak months on any annual inference. Our findings show that birdwatchers in India as contributors to CS rapidly returned to their pre-pandemic behaviour, and that the effects of the pandemic on birdwatching effort and birdwatcher behaviour are scale- and context-dependent. In summary, eBird data from the pandemic years in India remain useful for abundance trend estimation and similar large-scale applications, but will benefit from preliminary data quality checks when utilised at a fine scale.</p>
Datasets related to the paper for Radio Science Special Section GASS2023 (Paper #2024RS008022)
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