cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7294/jktv-yv44
title: Winter Roost Selection of Lasiurine Tree Bats in a Pyric Landscape

description: Day-roost selection by tree bats during winter and their response to dormant season fires is poorly known throughout much of the southeastern United States.  In the winter of 2019, we mist-netted and affixed radio-transmitters to 16 Lasiurine bats, primarily Seminole bats (Lasiurus seminolus) at Camp Blanding Joint Training Center in northern Florida.  We then located day-roost sites to generally describe roost attributes.   For five Seminole bats, one eastern red bat (Lasiurus borealis), and one hoary bat (Lasiurus cinereus), we applied prescribed burns in the roost area to observe bat response.  Generally, Seminole bats selected day-roosts in mesic forest stands with high mean fire return intervals.  At the roost tree scale , Seminole day-roosts tended to be larger, taller and in higher canopy dominance classes than surrounding trees.  Seminole bats day-roosted in longleaf (Pinus palustris), slash (Pinus elliotii) and loblolly pine (Pinus taeda) more than expected based on availability, whereas sweetbay (Magnolia virginiana), water oak (Quercus nigra) and turkey oak (Quercus laevis), were roosted in less than expected based on availability.  Of the seven roosts subjected to prescribed burns, only one male Seminole bat and one male eastern red bat evacuated the day-roost during or after burning.  In both cases, these bats had day-roosted at heights lower and in trees smaller than the majority of other day-roosts observed during our study.  Although fires historically were predominantly growing season, they now occur in the dormant season in this part of the Coastal Plain, our results possibly suggest Seminole bats choose winter day-roosts that both maximize solar exposure and minimize risks associated with fire.  Nonetheless, at least for Seminole bats, because selected day-roosts largely were fire-dependent or tolerant species, application of fire does need to periodically occur to promote recruitment and retention of these tree species.
DOI: 10.7294/m8pg-4a02
title: COCO-Bridge: Common Objects in Context Dataset for Structural Detail Detection of Bridges

description: Common Objects in Context for bridge inspection (COCO-Bridge) is an image-based dataset for use by unmanned aircraft systems (UAS) to assist in GPS denied environments, flight-planning, and detail identification and contextualization, but has far-reaching applications such as augmented reality. COCO-Bridge was introduced to augment an unmanned aerial vehicle (UAV) conducted bridge inspection process. UAVs have a notoriously difficult time operating near bridges because the signal can be lost between the operator and the UAV. This effort begins the process of building a publicly available dataset, examining model performance enhancements through image augmentation, and hosting a website repository of necessary code, raw images, and annotated data to access and contribute to the advancement of A.I in civil engineering. While there are datasets which have focused on detecting defects, this dataset focused on identifying specific parts of a bridge or structural bridge details to make educated autonomous decisions during flight. The image dataset consisted of 774 images and over 2,500 object instances to detect four structural bridge details. Methods to economize the predictive capabilities of the model without the addition of unique data were investigated to extend the performance of the training images. It was concluded that model performance was improved by selectively augmenting the training data about the y-axis.
DOI: 10.7294/16624672.v1
title: Labeled Cracks in the Wild (LCW) Dataset

description: <div><p>Labeled Cracks in the Wild (LCW) is a dataset which
comprises of real images taken from Virginia Department of Transportation
(VDOT) structural inspection reports. This dataset focuses on cracks in the
global scene rather than zoomed-in concrete patch. The cracks for LCW were
annotated using the GIMP software (The GIMP Development Team, 2019). The
guidelines for the annotations are provided by the authors in the file folder.
There are a total of 3,817 finely annotated images. The images were split into
training and testing, 90% and 10% respectfully. The images were resized to
512x512 for training and testing the DeeplabV3+ model. The original and resized
images are included. After training with the DeeplabV3+ model (DOI: 10.7294/16628707),
we were able to correctly identify approximately 40% of the annotated ground
truth cracks. More details of the training, the results, the dataset, and the
code may be referenced in the journal article. The GitHub repository
information may be found in the journal article.</p><p><br>If you are using the dataset in your work, please include <b>both </b>the journal article and the dataset citation. <br></p></div><div></div>
DOI: 10.7294/83vw-6z31
title: Genome_files_Draft assembly of Phytopthora capsici from long-read sequencing uncovers complexity (V2)

description: Resolving complex plant pathogen genomes is important for identifying the genomic shifts associated with rapid adaptation to selective agents such as host and fungicide, yet assembling these genomes remains challenging and expensive. Phytophthora capsici is an important, globally distributed plant pathogen that exhibits wide-spread fungicide resistance and a broad host range. As with other pathogenic oomycetes, P. capsici has a complex life history and a complex genome. Here we leverage Oxford Nanopore Technology (ONT) and existing short read resources, to rapidly generate a low-cost, improved assembly. We generated 10Gbp from a single MinIon flow cell resulting in > 1.25 million reads with an N50 of 13kb. The resulting assembly is 124Mbp in 906 scaffolds with an N50 length of 232kb. This assembly is 92% bigger than the current draft genome of 64Mbp. We confirmed this larger genome size using flow cytometry, with an estimated size of 110Mbp. BUSCO analysis identified 96.5% complete orthologs (39.7% duplicated). Evolutionary analysis supports a recent whole genome duplication in this group. Our work provides a blueprint for rapidly integrating benchtop long-read sequencing with existing short-read data, to dramatically improve assembly quality and integrity of complex genomes and offer novel insights into pathogen genome function and evolution. The original dataset can be found at the following DOI, doi:10.7294/73hy-9s55.
DOI: 10.7294/w4g44n64
title: Mozambique: Rural Water Supply Baseline Study 2011

description: In 2007, the Millennium Challenge Corporation (MCC) signed a $506.9 million compact designed to reduce poverty in Mozambique by promoting sustainable economic growth. Among the planned investments was the installation of 600 improved water points in rural communities across the provinces of Nampula and Cabo Delgado. In addition to the installation of the water points, the Rural Water Points Installation Program (RWPIP) also mobilized water committees to maintain the infrastructure and provided trainings to water committees and community members. Most of the water points are boreholes equipped with Afridev handpumps, but in Cabo Delgado ten small-scale solar systems (SSSS) were installed where there was sufficient water supply and unmet demand. The Rural Water Supply Activity (RWSA) of the Mozambique Compact is intended to increase sustainable access to improved water supply in some of the country’s poorest districts. 
<p>

The data included in this resource relate to an impact evaluation of the Millennium Challenge Account’s (MCA’s) Rural Water Point Implementation Program (RWPIP) in Nampula. The objective of the impact evaluation of the RWPIP was to examine the extent to which the program objectives were realized. Rigorous impact evaluations should allow causal claims to be made about program interventions and observed changes in outcome indicators, typically by comparing the beneficiaries of the program to a non-beneficiary comparison group. In order to assess the impacts of the installed handpumps on households in the RWPIP communities, the research design employed a panel survey in the treatment and comparison groups. Panel surveys are specifically designed to compare changes in treatment communities “before” and “after” an intervention with changes in comparison communities that did not receive the intervention. This design permits a “difference-in-differences” approach to the analysis of data collected, which controls for general trends that affect both treatment and comparison communities (e.g., drought, high crop prices, or other development interventions). To collect the panel data, a baseline survey was undertaken in 2011 and a follow-up survey was undertaken in 2013.</p>
DOI: 10.7294/14448027.v3
title: Vortex patterns in the wake of an oscillating cylinder in a flowing soap film

description: This data set contains video recordings of flow visualization experiments conducted in an inclined gravity-driven soap film channel, in which a cylinder was transversely oscillated at specific frequencies and amplitudes. Each video corresponds to a single experiment conducted at a certain non-dimensional frequency and amplitude.
DOI: 10.7294/19358228.v1
title: Data associated with Antimicrobial susceptibility and risk factors for resistance among Escherichia coli isolated from canine specimens submitted to a diagnostic laboratory in Indiana, 2010-2019

description: Dataset 1 -<b> </b>Raw dataset for bacterial culture and
antimicrobial susceptibility data for <i>Escherichia coli</i> isolated from
canine specimens_2010-2019.<div><br></div><div>Dataset 2 - Cleaned
and dummy coded data for bacterial culture and antimicrobial susceptibility
data for <i>Escherichia coli</i> isolated from canine specimens_2010-2019. This
dataset was used in the general analyses.</div><div><br></div><div>Dataset 3 - Dataset used
to build the Univariable and multivariable binary logistic regression model of
the associations between host factors and antimicrobial resistance among <i>Escherichia
coli</i> isolated from samples from Indiana.</div><p></p><div><br></div><div>Dataset 4 - Dataset used
to build the univariable logistic regression models assessing the association
of host factors with multi-drug resistance among <i>Escherichia coli</i>
isolated from dog specimens originating from Indiana.</div><p></p><div><br></div><div>SAS code -  SAS
CODE for the Multivariable binary logistic regression model of the associations
between host factors and antimicrobial resistance among <i>Escherichia coli</i>
isolated from samples from Indiana.</div>
DOI: 10.7294/17708759.v1
title: InSAR-based Vertical Land Motion at San Francisco Bay Area.

description: <p>Vertical Land Motion across San Francisco Bay
as shown in Fig 2 of Shirzaei and Bürgmann (2018) Science Advances.</p><p>The SAR data sets spanning from 13 July 2007 to 17 October 2010 include 32, 24, and 19 images in descending (incidence angle = 23°, heading angle = 193°) and ascending (incidence angle = 23°, heading angle = 350°) orbits of Envisat C-band satellite and ascending (incidence angle = 34.5°, heading angle = 350°) orbit of ALOS L-band satellite, respectively. The data set is processed using WabinSAR algorithm. See citations below for details.</p>
DOI: 10.7294/14501640.v1
title: Building a 3D Data Preservation Model for Cross-Disciplinary Use - Web Survey

description: This dataset is a collection of web survey responses on 3D curation and digital preservation workflows. This survey was approved by Virginia Tech IRB (VT-IRB 20-479) in 2020 and distributed for 3 months to digital preservation, 3D curation, and other related audiences. The questions were optional, largely open-ended, and designed for a narrative response. <div><br></div><div>Numerous disciplines are producing 3D and virtual reality (VR) data but without the guidance of published standards. While some methods for curating 3D data have emerged, and while there are data sets available for specific disciplines, this is a dynamic area of study and there are few practices that are widely used across disciplines. The purpose of this study is to survey researchers working with, producing, and/or preserving 3D data on their methods for documenting their 3D production and preservation workflows, and their level of preservation planning. This will inform the Digital Imaging & Preservation Services department to develop a workflow for preserving 3D and Virtual Reality (VR) data.<br></div><div><br></div><div>We also conducted a multi-case study uses data sets created for research and education at Virginia Tech from 2019-2020. The study uses three data samples, each created with different modalities. As an initial study, our approach to the topic was to describe the curation activities we complete on these data sets and then provide reflections to inform the work of the wider research data management community through the lessons that we learn. <br></div><div><br></div><div>Through the case study interviews and test cases and the wider survey, we gained valuable information that has informed our decisions in what metadata and steps we will preserve in this project. Our final file format, metadata schema, strategy for collecting provenance and technical information, and documenting project context have been further defined. The project to which we are applying these design considerations is the photogrammetry of entomology specimens from the Virginia Tech Insect Collection, and will expand to a broader 3D curation program.<br></div>
DOI: 10.7294/w4v9867v
title: Hourly and Daily Timescale Global Soil Respiration Data (HGRsD)

description: HGRsD is a database of collected soil respiration measurements from published studies at a global scale. The time interval of soil respiration is hourly and daily. Only publications reported  daily or diurnal soil respiration were included in this database. We make this database publicly available, intended to serve as a resource for scientific analysis. Table1: HGRsD, which holds an hourly interval soil respiration and together with other ancillary measurements. Tables 2: HGRsD, which holds an daily interval soil respiration and together with other ancillary measurements.  Tables 3: Publication list digitized to generate MGRsD.  Figure 1:  Visualization of sites included in the HGRsD.

How to cite this data: This data set is open, feel free to use it. No co-authorship is required. Please cite this database as: Jinshi J. and Steele M (2018) Hourly Global Soil Respiration Database (HGRsD). DOI: pending.

How to contribute: We tried our best to collect as much publication as possible, but HGRsD still does not collect many sites at South hemisphere and Russia. There is a substantial publication in the Russian literature not currently in HGRsD database. We also assume there are many publications in French, Spanish and Portuguese, those data may cover study areas at south hemisphere, where our MGRsD have limited samples. If you find any soil respiration related publications which reported daily or diurnal soil respiration, and not collected by HGRsD, it will be great if you can share with us. You can upload the paper through this website or sent it to: jinshi@vt.edu
DOI: 10.7294/w4-rzs9-ht97
title: Observations At Backyard Bird Feeders Influence The Emotions And Actions Of People That Feed Birds - Dataset

description: Online survey data and survey instrument to accompany Dayer, Rosenblatt, Bonter, Faulkner, Hall, Hochachka, Phillips, and Hawley (2019) in People and Nature.

This online survey was conducted from July 21 to August 14 2017 via Qualtrics.  The sample of 2,048 was drawn from Project FeederWatch participants (www.projectfeederwatch.org).  We sent participants an email solicitation from the Lab of Ornithology with an individualized link to the survey.  Up to three reminder emails were sent to those who had not completed the survey.

The survey was conducted with approval from the Cornell University Institutional Review Bird for Human Participants Participants (Protocol #1706007274). Virginia Tech Institutional Review Board relied on Cornell University’s review and exemption decision. Consent to voluntarily participate and confirmation that participants were at least 18 years old were obtained on the first page of the online survey.

Overall, 1180 citizen scientists responded to the survey. One individual who took the survey twice was removed from the sample, and three respondents under the age of 18 (based on age provided in the demographics section) were also removed.  The overall response rate was 59%. 

It should be noted that due to an error in the online survey response settings in the first 18 hours of survey administration, the final sample size for three items (“How do you respond when you see cats near your feeders?”; “How do you respond when you see hawks near your feeders?”; “Do you think your bird feeding has led to any of the following in your immediate areas?”) was only 832 respondents. A filter is available in the dataset to use the appropriate truncated dataset when analyzing these survey items and those derived from them .
DOI: 10.7294/w4rf5rz6
title: COCO-Text-Patch

description: 1.	Building on the predictions of state-dependent life history theory, telomeres are hypothesized to either correlate with or function as an adaptive, proximate mediator of an individual’s behavior and life-history strategy. To further understand the relationship between telomeres, behavior, and life-history strategies, we measured male behavior, telomere lengths, and telomere dynamics in a free-living population of known-age, male wire-tailed manakins (Pipra filicauda). 
2.	Male wire-tailed manakins perform coordinated displays with other males at leks and these displays form the basis of long-term coalition partnerships. Males exhibit consistent individual differences in the number of social partners within their social network and the frequency of social interactions. Male sociality is also positively correlated with both social rise and reproductive success. 
3.	We measured male behavior using a telemetry-based, proximity datalogging system and blood telomere lengths were quantified using qPCR. We examined the relationships between telomere length, telomere dynamics, social status, and male behavior. We also quantified the repeatability of telomere lengths, examined age-related changes in telomere length, and tested for instances of telomere elongation that exceed residual error in telomere length.
4.	Telomere length was found to be highly repeatable. More social males exhibited shorter telomeres and higher rates of telomere attrition. Telomeres did not significantly vary with age within or between individuals in either of the male social classes. Two out of 25 individuals exhibited patterns telomere elongation that exceeded residual error in telomere measurements.
5.	Here we show that telomeres consistently vary between male wire-tailed manakins and these differences are related to variation in male social behavior. In this relatively long-lived species, telomeres also appear to be flexible traits that can increase or decrease in length. Overall, this study provides observational support for the hypothesis that telomeres act as a molecular marker that relates to behavior in a state-dependent manner. We also provide insight into the molecular consequences of individual variation in male social behavior.
This dataset was updated on 20201109.  The original dataset can be found at the following DOI, doi:10.7294/mpcg-qx45
DOI: 10.7294/w489141d
title: Investigation of pore pressures during high-velocity impact by a free fall penetrometer

description: Free-fall penetrometers (FFPs) are an attractive tool for the rapid characterization of sediments in the nearshore and coastal areas. To improve their measurement capabilities, modern FFPs can be equipped with pore pressure sensors. Pore pressure measurements are extensively used in traditional cone penetration testing, but their usage and interpretation is still limited for FFP testing. This study represents an effort to advance the interpretation of pore pressure measurements from FFP testing.
Data was collected using the torpedo-shaped FFP BlueDrop during surveys at Herschel Island, YT, Yakutat, AK, Clay Bank, VA, and Yorktown, VA. Two major advancements regarding current data analysis of FFP pore pressure measurements were explored: 1) a method based on fluid dynamic principles was proposed to correct the pressure recordings for the dynamic flow effects due to the high-velocity fall and impact. The results show that using Bernoulli’s theorem coupled with the concept of pressure coefficients results in good agreement between measured and hydrostatic pressures during the free-fall and initial penetration stage. 2) Pore pressure dissipation curves measured by the penetrometer at rest at maximum penetration depth were also studied. The mechanisms behind the non-standard dissipation curves were explored. This dataset contains data that was used during this study and was collected during field surveys to the aforementioned sites.
DOI: 10.7294/14544564.v1
title: Correlating Indoor and Outdoor Temperature and Humidity in a Sample of Buildings in Tropical Climates

description: The incidence of several respiratory viral infections has been shown to be related to climate. Because humans spend most of their time indoors, measures of indoor climate, rather than outdoor climate, may be better predictors of disease incidence and transmission. Therefore, understanding the relationship between indoor and outdoor climate will help illuminate their influence on the seasonality of diseases caused by respiratory viruses. Indoor-outdoor relationships between temperature and humidity have been documented in temperate regions, but little information is available for tropical regions, where seasonal patterns of respiratory viral diseases differ. We have examined indoor-outdoor correlations of temperature, relative humidity (<i>RH</i>), and absolute humidity (<i>AH</i>) over a 1-year period in each of seven tropical cities. Across all cities, the average monthly indoor temperature was 25±3°C (mean ± standard deviation) with a range of 20–30°C. The average monthly indoor <i>RH</i> was 66±9% with a range of 50–78%, and the average monthly indoor <i>AH</i> was 15±3 g/m<sup>3</sup> with a range of 10–23 g/m<sup>3</sup>. Indoor <i>AH</i> and <i>RH</i> were linearly correlated with outdoor <i>AH</i> when the air-conditioning (AC) was off, suggesting that outdoor <i>AH</i> may be a good proxy of indoor humidity in the absence of AC. All indoor measurements were more strongly correlated with outdoor measurements as distance from the equator increased. Such correlations were weaker during the wet season, especially when AC was in operation. These correlations will provide insight for assessing the seasonality of respiratory viral infections using outdoor climate data, which is more widely available than indoor data, even though transmission of these diseases mainly occurs indoors.