Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
3,225
datasets available to search
ShareScore release 0.9.0
Dataset results
3,225 results for “Case of study”
TABLE 5 in Horses in the suburbs of a medieval city - a case study from Brno (Czech Republic)
<p>TABLE 5. — Summary table providing information on dating,mean withers height,robusticity ratios, sex, and age of the horses from Brno.Abbreviations: <b>Bd</b>, greatest breadth of the distal epiphysis; <b>GL</b>, greatest length; <b>MC</b>, metacarpal; <b>MT</b>, metatarsal; <b>SD</b>, smallest width of the diaphysis; <b>WH</b>, withers height.</p><table><tbody><tr><th></th><th></th><th><b>Number of</b></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th><th></th></tr><tr><th></th><th></th><th><b>measured WH mean</b></th><th><b>MC SD/GL x</b></th><th><b>MT SD/GL x</b></th><th><b>MC Bd/GL x</b></th><th><b>MT Bd/GL x</b></th><th><b>Age</b></th></tr><tr><th><b>ID Site</b></th><th><b>Century long bones</b></th><th><b>(cm) WH (SD)</b></th><th><b>100</b></th><th><b>100</b></th><th><b>100</b></th><th><b>100</b></th><th><b>Sex (years)</b></th></tr></tbody><tbody><tr><th>T_1490 Brno-Trnitá</th><td>15-16</td><td>10</td><td>144.7</td><td>1.2</td><td>14.8</td><td>–</td><td>21.6</td><td>–</td><td>M</td><td>10-13</td></tr><tr><th>T_3256 Brno-Trnitá</th><td>15-16</td><td>15</td><td>137.3</td><td>1.1</td><td>16.2</td><td>12.8</td><td>22.1</td><td>18.2</td><td>M</td><td>10-11</td></tr><tr><th>T_3257 Brno-Trnitá</th><td>15-16</td><td>1</td><td>142.5</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>M</td><td>7-8</td></tr><tr><th>T_3258 Brno-Trnitá</th><td>15-16</td><td>15</td><td>147</td><td>3.2</td><td>14.5</td><td>11.9</td><td>22.7</td><td>17.6</td><td>F</td><td>9-11</td></tr><tr><th>T_3164 Brno-Trnitá</th><td>15-16</td><td>14</td><td>145.5</td><td>3.5</td><td>14.4</td><td>11.6</td><td>21.8</td><td>18.6</td><td>M</td><td>> 5</td></tr><tr><th>M_802 Brno-Modřice</th><td>15-16</td><td>14</td><td>141.9</td><td>3.6</td><td>14.2</td><td>11.4</td><td>21.4</td><td>17.6</td><td>M</td><td>12-14</td></tr><tr><th>M_803 Brno-Modřice</th><td>15-16</td><td>0</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>? newborn</td></tr><tr><th>K_800 Brno-Křídlovická 17-18</th><td>0</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>? <3-3.5</td></tr><tr><th>K_801 Brno-Křídlovická 16-17</th><td>9</td><td>143.7</td><td>2.7</td><td>14</td><td>10.9</td><td>20.7</td><td>17.1</td><td>?</td><td>3-4</td></tr><tr><th>K_802 Brno-Křídlovická 16-17</th><td>12 (14)</td><td>146.5</td><td>3.5</td><td>13.6</td><td>11.5</td><td>20.9</td><td>17.8</td><td>M</td><td>9-11</td></tr><tr><th>K_803 Brno-Křídlovická 16-17</th><td>0</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td><td>?</td><td>9-12</td></tr></tbody></table>
TABLE 7 in Horses in the suburbs of a medieval city - a case study from Brno (Czech Republic)
<p>TABLE 7. — Measurements of enamel dentine exposure and recorded presence/ absence of occlusal bevel. Abbreviations: <b>LDH</b>, height of enamel/dentine exposure; <b>LDW</b>, Enamel dentine exposure at widest point.</p><table><tbody><tr><th></th><th><b>LDH</b> <b>(Left)</b></th><th><b>LDW</b> <b>(Left)</b></th><th><b>LDH</b> <b>(Right)</b></th><th><b>LDW</b> <b>(Right)</b></th><th><b>Profile</b> <b>(bevel)</b></th></tr><tr><th><b>ID</b></th></tr></tbody><tbody><tr><th>T_1490</th><td>1.93</td><td>3.01</td><td>No</td><td>No</td><td>Yes</td></tr><tr><th>T_3256</th><td>3.64</td><td>1.82</td><td>12.16</td><td>3.62</td><td>No</td></tr><tr><th>T_3257</th><td>13.27</td><td>5.8</td><td>15.11</td><td>5.54</td><td>No</td></tr><tr><th>T_3258</th><td>9.29</td><td>3.58</td><td>10.81</td><td>6.22</td><td>No</td></tr><tr><th>T_3164</th><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>K_800</th><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>K_801</th><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr><tr><th>K_802</th><td>13.13</td><td>6.16</td><td>10.27</td><td>7.1</td><td>No</td></tr><tr><th>M_802</th><td>–</td><td>–</td><td>–</td><td>–</td><td>–</td></tr></tbody></table>
TABLE 1 in Horses in the suburbs of a medieval city - a case study from Brno (Czech Republic)
<p>TABLE 1. — Brno, Trnitá: list of horse burials</p><table><tbody><tr><th></th><th><b>Pit description</b></th><th></th></tr><tr><th>Skeleton</th><th><b>(shape, size</b></th><th></th></tr><tr><th>numberPreservation</th><th>in m, fill)</th><th><b>Dating</b></th><th><b>Figure</b></th></tr></tbody><tbody><tr><th>T_1490</th><td>Fragmentary</td><td>Irregular,</td><td>Second half</td><td>4</td></tr><tr><th></th><td>cranium.</td><td>approximately</td><td>of the 15th</td><td></td></tr><tr><th>Lower</th><td>oval pit,</td><td>and first</td></tr><tr><th>hindlimbs</th><td>> 2 x 1.5 x 0.5 m.</td><td>half of the</td></tr><tr><th></th><td>were not</td><td>Grey sandy silt</td><td>16th century.</td><td></td></tr><tr><th></th><td>retrieved.</td><td>with a random</td><td></td><td></td></tr><tr><th></th><td></td><td>appearance</td><td></td><td></td></tr><tr><th></th><td></td><td>of charcoal,</td><td></td><td></td></tr><tr><th></th><td>pebbles, and</td><td></td></tr><tr><th></th><td>other angular</td><td></td></tr><tr><th></th><td></td><td>stones.</td><td></td><td></td></tr><tr><th>T_3164</th><td>Complete</td><td>Almost rectangular</td><td>Second half</td><td>5</td></tr><tr><th></th><td>postcranial</td><td>or oval pit.</td><td>of the 15th</td><td></td></tr><tr><th>skeleton.</th><td>> 1.4 x 0.9 x 0.4 m.</td><td>to the first</td></tr><tr><th></th><td></td><td>Gravel mixed of</td><td>half of the</td><td></td></tr><tr><th></th><td></td><td>cobbles, pebbles</td><td>16th century.</td><td></td></tr><tr><th></th><td></td><td>and coarse sand.</td><td></td><td></td></tr><tr><th>T_3256</th><td>Fragmentary</td><td>Unknown shape</td><td>Second half</td><td>6</td></tr><tr><th></th><td>cranium.</td><td>of the pit.</td><td>of the 15th</td><td></td></tr><tr><th>Anterior</th><td>Depth = 0.5.</td><td>and first</td></tr><tr><th>middle</th><td>Grey sandy silt</td><td>half of the</td></tr><tr><th></th><td>and distal</td><td>with a random</td><td>16th century.</td><td></td></tr><tr><th></th><td>phalanges</td><td>appearance</td><td></td><td></td></tr><tr><th></th><td>were not</td><td>of charcoal,</td><td></td><td></td></tr><tr><th></th><td>retrieved.</td><td>cobbles, pebbles</td><td></td><td></td></tr><tr><th></th><td></td><td>and brick</td><td></td><td></td></tr><tr><th></th><td></td><td>fragments.</td><td></td><td></td></tr><tr><th>T_3257</th><td>Fragmentary</td><td>Unknown</td><td>Second half</td><td>6</td></tr><tr><th></th><td>cranium</td><td>pit shape.</td><td>of the 15th</td><td></td></tr><tr><th>and axial</th><td>Depth = 0.4-0.6.</td><td>and first</td></tr><tr><th>skeleton.</th><td>Grey sandy silt</td><td>half of the</td></tr><tr><th></th><td>Limb bones</td><td>with frequent</td><td>16th century.</td><td></td></tr><tr><th></th><td>except</td><td>lamps of</td><td>Object</td><td></td></tr><tr><th>for one</th><td>yellowish clay</td><td>disrupted</td></tr><tr><th>femur and</th><td>and random</td><td>by the pit</td></tr><tr><th>fragments of</th><td>appearance</td><td>containing</td></tr><tr><th>scapula were</th><td>of charcoal,</td><td>individual</td></tr><tr><th></th><td>not retrieved.</td><td>cobbles, pebbles</td><td>3258.</td><td></td></tr><tr><th></th><td></td><td>and brick</td><td></td><td></td></tr><tr><th></th><td></td><td>fragments.</td><td></td><td></td></tr><tr><th>T_3258</th><td>Fragmentary</td><td>Unknown</td><td>Second half</td><td>6</td></tr><tr><th></th><td>cranium.</td><td>pit shape.</td><td>of the 15th</td><td></td></tr><tr><th>Cervical</th><td>Depth = 0.8. Grey</td><td>to the first</td></tr><tr><th>vertebrae 3-7</th><td>sandy silt with</td><td>half of the</td></tr><tr><th></th><td>and thoracic</td><td>frequent lamps</td><td>16th century.</td><td></td></tr><tr><th></th><td>vertebrae</td><td>of yellowish clay</td><td>The context</td><td></td></tr><tr><th>3-18 were not</th><td>and random</td><td>disturbing</td></tr><tr><th></th><td>retrieved.</td><td>appearance</td><td>3257.</td><td></td></tr><tr><th></th><td></td><td>of charcoal,</td><td></td><td></td></tr><tr><th></th><td></td><td>cobbles, pebbles</td><td></td><td></td></tr><tr><th></th><td></td><td>and brick</td><td></td><td></td></tr><tr><th></th><td></td><td>fragments.</td><td></td><td></td></tr></tbody></table>
TABLE 2 in Horses in the suburbs of a medieval city - a case study from Brno (Czech Republic)
<p>TABLE 2. — Brno, Křídlovická street: list of horse burials.</p><table><tbody><tr><th><b>Skeleton number Preservation</b></th><th><b>Pit description (shape, size in m, fill)</b></th><th><b>Dating Figure</b></th></tr></tbody><tbody><tr><th>K_800</th><td>Poorly preserved fragments of scapula,</td><td>Pit shape is unidentified. Grey sandy silt Second half of the 17th</td><td>8</td></tr><tr><th></th><td>humerus, thoracic vertebrae and ribs.</td><td>covering the skeleton.</td><td>and first half of the</td><td></td></tr><tr><th></th><td></td><td></td><td>18th century.</td><td></td></tr><tr><th>K_801</th><td>Fragmentary cranium, complete</td><td>Rectangular, NE-SW,> 1.4 x 0.95 x 0.6.</td><td>16th-17th century.</td><td>9</td></tr><tr><th></th><td>appendicular skeleton.</td><td>Brown-grey soil rarely contains small</td><td></td><td></td></tr><tr><th></th><td>Three horseshoes <i>in situ.</i></td><td>ceramic fragments.</td><td></td><td></td></tr><tr><th>K_802</th><td>Complete postcranial skeleton and</td><td>Rectangular pit, E-W, 1.93 x 0.8 x 0.45.</td><td>16th century-first half of the</td><td>10</td></tr><tr><th></th><td>fragmentary cranium. Four horse shoes Grey-brown sandy silt is occasionally</td><td>17th century.</td><td></td></tr><tr><th></th><td><i>in situ</i>.</td><td>mixed with ceramic sherds.</td><td></td><td></td></tr><tr><th>K_803</th><td>Fragments of mandible. Postcranial</td><td>Found together with K_802 (intrusion).</td><td>16th century-first half of the</td><td>–</td></tr><tr><th></th><td>skeleton not preserved.</td><td></td><td>17th century.</td><td></td></tr></tbody></table>
Data from: How "simple" methodological decisions affect interpretation of population structure based on reduced representation library DNA sequencing: a case study using the lake whitefish
Reduced representation (RRL) sequencing approaches (e.g., RADSeq, genotyping by sequencing) require decisions about how much to invest in genome coverage and sequencing depth (library quality), as well as choices of values for adjustable bioinformatics parameters. To empirically explore the importance of these "simple" decisions, we generated two independent sequencing libraries for the same 142 individual lake whitefish (Coregonus clupeaformis) using a nextRAD RRL approach: (1) A small number of loci and low sequencing depth (library A); and (2) more loci and higher sequencing depth (library B). The fish were selected from populations with different levels of expected genetic subdivision. Each library was analyzed using the STACKS pipeline followed by three types of population structure assessment (FST, DAPC and ADMIXTURE) with iterative increases in the stringency of sequencing depth and missing data requirements, as well as more specific a priori population maps. Library B was always able to resolve strong population differentiation in all three types of assessment regardless of the selected parameters. In contrast, library A produced more variable results; increasing the minimum sequencing depth threshold (-m) resulted in a reduced number of retained loci, and therefore lost resolution at high -m values for FST and ADMIXTURE, but not DAPC. FST and DAPC were robust to varying the population map and increasing the stringency of missing data requirements. In contrast, ADMIXTURE was unable to resolve strong population differentiation when increasing these same parameters in library A. Similarly, when examining fine scale population subdivision, library B was robust to changing parameters but library A lost resolution depending on the parameter set. We used library B to examine actual subdivision in our study populations. All three types of analysis found complete subdivision among populations in Lake Huron, ON and Dore Lake, SK, Canada using 10,640 SNP loci. Weak population subdivision was detected in Lake Huron with fish from sites in the north-west, Search Bay, North Point and Hammond Bay, showing slight differentiation. Overall, we show that apparently simple decisions about library quality and bioinformatics parameters can have potentially important impacts on the interpretation of population subdivision. Although costly, the early investment in a high-quality library and more conservative stringency settings on STACKS parameters lead to a final dataset that was more consistent and robust when examining both weak and strong population differentiation.
Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana (dataset)
<p>The dataset contains all the data required to reproduce the experiments done in the paper "Automatic translation and multilingual cultural heritage retrieval: a case study with transcriptions in Europeana", published in the 25th International Conference on Theory and Practice of Digital Libraries (<a href="http://www.tpdl.eu/tpdl2021/">TPDL'21</a>). In that work we run an experiment using the Europeana CH digital library as a use case, and we evaluated the effectiveness of a multilingual information retrieval strategy using machine translations to English as pivot language. We used the CEF translation service (eTranslation) for the translation of queries and content to English (<a href="https://ec.europa.eu/cefdigital/wiki/display/CEFDIGITAL/eTranslation">https://ec.europa.eu/cefdigital/wiki/display/CEFDIGITAL/eTranslation</a>).</p> <p>The dataset is also available at <a href="https://rnd-2.eanadev.org/share/crosslingual-search/">https://rnd-2.eanadev.org/share/crosslingual-search/</a>, and it is organized in four main folders:</p> <ul> <li><strong>queries</strong>: sample of 68 queries and their translations to English. The queries were issued in languages other than English from the Europeana Portal, using the Europeana’s 1914-1918 thematic collection, between January and August 2019.</li> <li><strong>transcriptions</strong>: sample of 18,257 handwriting transcriptions and its translations to English. The transcriptions are taken from the Europeana 1914-1918 thematic collection, and obtained from the Transcribathon crowdsourcing platform (https://europeana.transcribathon.eu/).</li> <li><strong>solr_configuration</strong>: Apache Solr search engine configuration used in the experiments (which replicates the one used in Europeana).</li> <li><strong>results</strong>: manual evaluation of the query translations, and automatic evaluation of the multilingual retrieval.</li> </ul> <p> </p>
Worker Cooperatives' Potential for Migrant Women's Self-Empowerment. Insights from a Case Study in New York City
<p>Many migrant women in New York City face structural discrimination and administrative hurdles that complicate their access to safe and well-paid labor. Worker cooperatives have been shown to reduce the precarity and economic exclusion of marginalized groups. However, although much is known about worker cooperatives’ economic potential for improving workers’ lives, other social effects remain far less well explored. The present research contributes to exploring this gap by examining how joining a worker cooperative empowers migrant women in their everyday lives. We apply the concept of self-empowerment to several spheres of the everyday lives of migrant women. At an empirical level, the study focuses on migrant women who are members of nine cleaning- or care-worker cooperatives in New York City. The data were gathered using a participatory research approach and consist of interviews, participant observations, and a quantitative survey. The findings are that worker cooperatives have empowering effects on migrant women beyond the sphere of paid work. Although the additional unpaid workload as co-owners of cooperatives represents an extra burden for many migrant women, they now have better wages, more flexibility, and safer workplaces. Furthermore, they acquire a range of leadership skills, enlarge their social network beyond their ethnic communities, and earn increased esteem as co-owners of businesses. Through worker-ownership, migrant women thus increase their economic, cultural, social, and symbolic capital, which enables them to exercise more agency not only in their paid work but also in their families and leisure time.</p>
A case study on automatic summarization for gray literature
<p>Replication package for a case study on using PositionRank to automatic summarize blog posts based on the Spicy implementation of the algorithm</p>
Capturing single-copy nuclear genes, organellar genomes, and nuclear ribosomal DNA from deep genome skimming data for plant phylogenetics: A case study in Vitaceae
<p>With the decreasing cost and availability of many newly developed bioinformatics pipelines, next-generation sequencing (NGS) has revolutionized plant systematics in recent years. Genome skimming has been widely used to obtain high-copy fractions of the genomes, including plastomes, mitochondrial DNA (mtDNA), and nuclear ribosomal DNA (nrDNA). In this study, through simulations, we evaluated the optimal (minimum) sequencing depth and performance for recovering single-copy nuclear genes (SCNs) from genome skimming data, by subsampling genome resequencing data and generating 10 datasets with different sequencing coverage <i>in silico</i>. We tested the performance of four datasets (plastome, nrDNA, mtDNA, and SCNs) obtained from genome skimming based on phylogenetic analyses of the <i>Vitis</i> clade at the genus level and Vitaceae at the family level, respectively. Our results showed that optimal minimum sequencing depth for high-quality SCNs assembly via genome skimming was about 10× coverage. Without the steps of synthesizing baits and enrichment experiments, coupled with incredibly low sequencing costs, we showcase that deep genome skimming (DGS) is as effective for capturing large datasets of SCNs as the widely used Hyb-Seq approach, in addition to capturing plastomes, mtDNA, and entire nrDNA repeats. DGS may serve as an efficient and economical alternative and may be superior to the popular target enrichment/Hyb-Seq approach.</p>
Dataset for "Modeling Neighborhood-Scale Shallow Geothermal Energy Utilization - A Case Study in Berlin"
<p>Dataset with prepared ogs simulations used in the paper "Modeling Neighborhood-Scale Shallow Geothermal Energy Utilization - A Case Study in Berlin".</p> <p>Plese read the README file in the folder first.</p>
Fig. 4 in Are plant adaptations to growing on serpentine soil rare or common? A few case studies from New Caledonia
Fig. 4. — Guioa (WELZEN 1990), showing soil preferences as in Fig. 1.
Fig. 3 in Are plant adaptations to growing on serpentine soil rare or common? A few case studies from New Caledonia
Fig. 3. — Cupaniopsis (modified from ADEMA 1991), showing soil preferences as in Fig. 1.
Real-time GNSS troposphere products: ZTD and gradients - hurricane Lorenzo case study
<p>This dataset contains multi-GNSS real-time products, i.e. ECEF coordinates, zenith total delay (ZTD), and horizontal gradients, together with their uncertainties estimated every 1 minute for a subset of EPN stations during two test periods (21 days long each):</p> <p>1) Day of year (DoY) 201 - 221, 2019</p> <p>2) DoY 266 - 286, 2019.</p> <p>The processing strategy can be found in https://link.springer.com/article/10.1007/s10291-020-01014-w, under to "advanced strategy" configuration.</p> <p>For convenience, products are stored in 2 formats (but each contains identical data):</p> <p>1. Self-explanatory netCDF format (https://www.unidata.ucar.edu/software/netcdf/docs/file_format_specifications.html), which follows the parameter naming convention of the troposphere SINEX v2 format: https://www.pecny.cz/WWW_FIL/TRO-SINEX/old/sinex_tro_2017-05-28-JD.pdf. Each file contains data for all stations but only for one test period.</p> <p>2. Semicolon delimited text files, with a self-explanatory header line. Each file contains daily products for one station.</p>
Figure 3 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 3. Mexican regionalization based on consensus cladogram of t1.
Location of ground stations, targets and spacecraft for Spire case study 2021
<p>Locations of ground stations, targets, and spacecraft for the analysis presented in article: "Dynamical influence driven space system design"</p>
Data from dissertation: 'Landscape and Aboveground Biomass Dynamics of Brazilian Savanna using airborne LIDAR and MapBiomas datasets : case study of Rio Vermelho Watershed, Brazil'
<p>This dissertation was submitted to University of Manchester as part of MSc GIS program</p> <p>This repository contains:</p> <p>1) Contains the R language code used in the dissertation (CHM_&_LiDAR_metric.R; Landscape_metric.R; Generalized_Linear_Model.R; Random_Forest_Model.R).</p> <p><br> 2) Canopy Height Model (CHM) and 56 LiDAR metric raster files with a resolution of 1m (CHM_&_LiDAR_metric_2014.zip; CHM_&_LiDAR_metric_2018.zip), the original LiDAR data come from Brazil project supported by the Brazilian Agricultural Research Corporation (EMBRAPA), the US Forest Service, USAID, and the US Department of State.</p> <p><br> 3) AGB raster files with a resolution of 10m (AGB_2014.tif; AGB_2018.tif; AGB_dynamic.tif), field plots used for AGB estimation come from Sabrinado Couto de Miranda from University of Goiás State (UEG), Brazil, and her team.</p> <p><br> 4) Landscape metric interpolation raster file (SHDI.tif; SHEI.tif; AREA_CV.tif; CIRCLE_MN.tif; SHAPE_MN.tif) with a resolution of 10m, land cover map Map come from Biomas team for landscape metric calculation.</p>
Impacts of biomass burning in peninsular Southeast Asia on PM2.5 concentration and ozone formation in southern China during springtime – A case study
<p>Abstract: Biomass burning (BB) affects fine particulate matter (PM<sub>2.5</sub>) and ozone (O<sub>3</sub>) formations by emitting their gaseous precursors and primary aerosols. Impacts of BB in peninsular Southeast Asia (BB-PSEA) are evaluated on the PM<sub>2.5</sub> and O<sub>3</sub> formations in southern China, using a source-oriented WRF-Chem model to simulate an air pollution episode from 21 to 25 March 2015. The source-oriented model separates the emission from the BB-PSEA and other sources and is able to evaluate the effect of aerosol-radiation interactions (ARI) and aerosol-photolysis interactions (API) from the BB-PSEA. Comparisons with observations reveal that the model performs well in simulating the air pollution episode. Sensitivity experiments show that BB-PSEA increases PM<sub>2.5</sub> concentrations by 39.3 μg m<sup>-3</sup> (68.0%) in Yunnan Province (YNP) and 8.4 μg m<sup>-3</sup> (24.1%) in other downwind areas (ODA) in southern China (including the provinces of Guizhou, Guangxi, Hunan, Guangdong, Jiangxi, Fujian, and Zhejiang) on the regional average. The PM<sub>2.5</sub> enhancement is mainly contributed by primary aerosols in YNP but by secondary aerosols in the ODA. The BB-PSEA increases O<sub>3</sub> concentrations of 18.1 μg m<sup>-3 </sup>(19.4%) in YNP and decreases O<sub>3 </sub>concentrations in the ODA by 3.7 μg m<sup>-3</sup> (5.3%). The O<sub>3</sub> increase in YNP is contributed by the gaseous emissions of the BB-PSEA, and the O<sub>3</sub> decrease in the ODA is caused by the effects of ARI and API of the BB-PSEA. The NH<sub>3</sub> emissions from the BB-PSEA plays a key role in enhancing secondary inorganic aerosols in southern China, and also determine the PM<sub>2.5</sub> increase in the ODA.</p>
Intragenerational Social Mobility and Preventive Behaviors regarding COVID-19: A Case Study of the Slum and Non-Slum Peoples in Dhaka City
<p>Social Mobility and Preventive Behaviors regarding COVID-19 among the Slum and Non-Slum Peoples in Dhaka City</p>
Building better conservation media for primates and people: A case study of orangutan rescue and rehabilitation YouTube videos
<p>1. Conservation organizations rely on social/internet media platforms to raise awareness and fundraise. Social media is a double-edged sword: it can be a wide-reaching and effective tool for education and fundraising, but can also have counter-productive impacts on public views toward wildlife and understanding of wildlife conservation.</p> <p>2. For example, depicting humans interacting with wildlife in media may increase video popularity, but animals shown in anthropogenic contexts are also viewed as appealing pets. We are interested in understanding whether this is true for social media posts (YouTube videos) by orangutan rescue and rehabilitation organizations, which rely on social media for fundraising and awareness-raising. Our goal is to provide data and recommendations to guide these organizations in building media with positive conservation impact while minimizing potential negative effects.</p> <p>3. Using YouTube analytics and sentiment analysis of comments on 118 videos, we ask how viewer responses to videos vary with 1) the amount of human-orangutan interaction depicted, 2) the ages of the orangutans featured, and 3) the mention of threats to orangutans.</p> <p>4. Videos with longer human-orangutan interaction time were viewed more, but comments on them were significantly more likely to be negative toward Indonesian/Malaysian people. Comments on orangutan rescue/rehabilitation videos were more likely to be categorized as negative for orangutan conservation compared to videos about orangutans generally, and within these, so were comments on videos featuring infant and juvenile orangutans.</p> <p>5. Based on our findings, we recommend that orangutan rescue and rehabilitation organizations feature adult and mixed age groups of orangutans rather than infants and juveniles, minimize the amount of human-orangutan interaction shown, and talk about conservation threats to orangutans in their videos. We also recommend that, as a precaution, other primate rescue and rehabilitation groups also abide by these suggestions.</p>
Quality and Trackability of Author Indicated Software Citations (NEST Case Study)
<p>This dataset contains a randomly selected minimal sample of 471 NEST software citations, which were provided by authors and published on the NEST software page as a publication list. The software citations were analyzed on their quality and trackability.</p> <p>The data was collected in 2020 for a PhD thesis on research data and software (re)use indications in scholarly works.</p>
ScienceDex guides
Understand access before you commit
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.