cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4231/zn8m-ky34
title: Online Spiritual Atlas of China (OSAC) Data

description: &lt;p&gt;The Online Spiritual Atlas of China was created by the Center on Religion and Chinese Society &lt;a data-auth="NotApplicable" href="https://www.purdue.edu/crcs/" rel="noopener noreferrer" target="_blank"&gt;(CRCS)&lt;/a&gt; at Purdue University to complement the print volume, &lt;a data-auth="NotApplicable" href="https://brill.com/view/title/36038" rel="noopener noreferrer" target="_blank"&gt;&lt;i&gt;Atlas of Religion in China: Social and Geographical Contexts&lt;/i&gt;&lt;/a&gt;, by Fenggang Yang (Brill, 2018). OSAC allows users to visualize the spatial distribution of individual religious sites in China, as well as see how provinces, prefectures, and counties compare with each other in terms of the number of religious sites. Currently, the data comes from China&rsquo;s 2004 Economic Census, which listed 72,887 religious sites from all of China&rsquo;s 31 provinces or provincial-level regions and municipalities.&lt;/p&gt;
description: OSAC Religious mat data
DOI: 10.4231/4kjv-b657
title: Competing Topographic Mechanisms

description: &lt;p&gt;The Indo-Asian Monsoon (IAM) circulation is an exemplar for how tectonic processes interact with regional climate systems. However, topography-atmosphere interaction is complex, challenging to model, and understanding the IAM at a specific period in Earth&rsquo;s history involves the consideration of multiple topographically induced circulations. To better capture such processes, we simulate the global climate using high-resolution (~25 km) simulations with alternative Asian topographic boundary conditions. Here, we determine the individual importance of the Himalayas, Tibetan, and Iranian Plateaus. Instead of the previously proposed heating or insulating mechanisms, we find that the primary role of topography is to redirect and lift the onshore monsoon air to produce orographic precipitation. We show that onshore flows exist regardless of topography and are governed by sea surface temperature gradients. Thus, neither topography nor localized enthalpy air drives onshore monsoon flow. Our findings have implications for tropical monsoon theories and the paleoclimatology of Asia.&lt;/p&gt;
description: The Indo-Asian Monsoon (IAM) circulation is an exemplar for how tectonic processes interact with regional climate systems. This study aims to identify the impact of orography on the IAM using high-resolution models.
DOI: 10.15468/dl.rcwv2w
title: Occurrence Download

description: A dataset containing 124761 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aster",
 "HasCoordinate is true"
 ]
}

 The dataset includes 124761 records from 1061 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059423-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4231/ge83-ha69
title: Survey on Crop Residues for Cattle Feeding in Niger

description: &lt;p&gt;This publication is part of the Sorghum Trait Development Pipeline project. Sorghum is poised to play a key role in expanding agricultural development and food security in countries around the world. Success in meeting these demands hinges, in part, on the successful transfer of genetic, genomic, and agricultural technologies that have been developed for the crop. The Sorghum Trait Development Pipeline project leverages new genetic technologies to enhance the value and performance of sorghum in farmer-accepted varieties adapted in Niger and Senegal in West Africa. Purdue PIs are working with the sorghum breeders and food technologists in National Agricultural Research Systems (NARS) in Niger and Senegal to initiate breeding programs to incorporate new sorghum traits into locally adapted varieties. This research, training, and capacity building project attempts to address sorghum crop improvement needs through targeted research, short and long term training and education, and technology transfer to promote and enhance sorghum production and impact.&lt;/p&gt;

&lt;p&gt;This study was conducted by Dr. Ousmane Seyni Diakite as reported in Diakite (2019).&lt;/p&gt;

&lt;p&gt;Diakite, O.S., 2018. Breeding Sorghum [Sorghum Bicolor (L.) Moench] for High Quality Stover for Niger (Doctoral dissertation, University of Ghana).&lt;br /&gt;
 University of Ghana http://ugspace.ug.edu.gh.&lt;/p&gt;

&lt;p&gt;In collaboration with livestock extension service, three villages well known for their livestock rearing and sorghum cultivation in the country were randomly sampled. Extension service agents assisted in the sampling and gathering sorghum farmers with intensive experience beneficial to PRA survey. A focus group discussion (FGD) with an average of a group of twelve farmers was firstly conducted to have an overview on sorghum production, cattle rearing and feeding constraints. During the FGD, males and female groups were met separately to avoid men&#39;s negative influence on women&rsquo;s free expression of their opinions. The different topics discussed during the FGD were evaluated by ranking, rating, listing or sorting by the group of farmers. After the FGD, a list of sorghum farmers rearing cattle in each village was recorded and 30 farmers per village were randomly sampled. The selected farmers were interviewed separately in a semi-structured interview based on a questionnaire structured on four major&rsquo; points: farmer identification, main activities, sorghum production and livestock rearing (constraints, opportunities, contribution in income, stover quality traits).&lt;/p&gt;
description: The specific objectives were to identify farmers’ and stover traders’ preferences on sorghum stover varieties. A Participatory Rural Appraisal (PRA) consisting of focus group discussions followed by semi-structured interviews, was conducted.
DOI: 10.4231/q3r8-sz17
title: Code and Data for Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic

description: &lt;p&gt;This publication contains code and data of a biogeochemistry model, XPTEM-XHAM, that includes microbial dynamics of high-affinity methanotrophs (HAM) and methanogens with permafrost carbon dynamics. You will find 4 zipped files when downloading the bundle. One file (Code_XPTEM-XHAM.zip) contains C++ codes, compiler, and guidelines for the XPTEM-XHAM model. Other three files (Data_XPTEM_XHAM_2000_2016.zip, Data_XPTEM_XHAM_2017_2100_default. zip, and Data_XPTEM_XHAM_2017_2100_w_Physiology. zip) contain raw and processed model results for contemporary period (2000-2016) and future projections (2017-2100), and Matlab files to plot the processed data in Matlab.&lt;/p&gt;

&lt;p&gt;Methane emissions from organic-rich soils in the Arctic have been extensively studied due to their potential to increase the atmospheric methane burden as permafrost thaws. However, this methane source might have been overestimated without considering high affinity methanotrophs (HAM, methane oxidizing bacteria) recently identified in Arctic mineral soils. Here, we find that HAM dynamics double the upland methane sink (~5.5 TgCH&lt;sub&gt;4&lt;/sub&gt;yr&lt;sup&gt;-1&lt;/sup&gt;) north of 50&deg;N in simulations from 2000-2016 by integrating the dynamics of HAM and methanogens into a biogeochemistry model that includes permafrost SOC dynamics. The increase is equivalent to at least half of the difference in net methane emissions estimated between process-based models and observation-based inversions, and the revised estimates better match site-level and regional observations. The new model projects doubled wetland methane emissions between 2017-2100 due to more accessible permafrost carbon. However, most of the increase in wetland emissions is offset by a concordant increase in the upland sink, leading to only an 18% increase in net methane emission (from 29 to 35 TgCH&lt;sub&gt;4&lt;/sub&gt;yr&lt;sup&gt;-1&lt;/sup&gt;). The projected net methane emissions may decrease further due to different physiological responses between HAM and methanogens in response to increasing temperature&lt;span style="font-size: 13.3333px;"&gt;.&lt;/span&gt;&lt;/p&gt;
description: This publication contains code and data of a biogeochemistry model, XPTEM-XHAM, for paper "Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic" by Oh et al. accepted in Nature Climate Change.
DOI: 10.4231/2frc-w869
title: Data Visualizations Depicting Longitudinal Team Communication

description: &lt;p&gt;Visualizations of longitudinal team communication using three different techniques are provided:  (1) recurrence plots depict cycles within communication topics discussed by teams, (2) network pictographs by quartile illustrate how frequently topics are discussed and shifts among topics occurred, and (3) dendrograms by quartile represent sequences within the communication topics. Complete descriptions of the study design, as well as further detail about the visualization techniques, including data operationalizations employed with each technique, and how the corresponding analyses were conducted can be found in McComb and Kennedy (forthcoming).&lt;/p&gt;

&lt;p&gt;Portions of this research were supported in part by the Innovations in Organizations program of the National Science Foundation and the Collaboration and Knowledge Interoperability program of the Office of Naval Research.&lt;/p&gt;

&lt;p&gt; &lt;/p&gt;

&lt;p&gt;References:&lt;/p&gt;

&lt;p&gt;Kennedy, D.M. and McComb, S.A. (2014).  When Teams Shift Among Processes:  Insights From Simulation and Optimization.  Journal of Applied Psychology, 99(5): 784-815.&lt;/p&gt;

&lt;p&gt;McComb, S.A. and Kennedy, D.M. (forthcoming).  Computational Methods to Examine Team Communication:  When and How to Change the Conversation.  Cham, Switzerland:  Springer Nature.&lt;/p&gt;
description: Longitudinal Team Communication Data Visualizations
DOI: 10.4231/0a0f-7a84
title: Modeling the Sea Level Changes in Guam

description: &lt;p&gt;This project was created to act as a final project submission for the EAPS591 course Cybertraining for FAIR Data Science offered by Purdue University for the Fall 2019-2020 semester. The aim of this project is to create a workflow for analysis and modeling experiments to produce Findable, Accessible, Interoperable and Reusable (FAIR) science in hydrological, weather and climate studies.&lt;/p&gt;

&lt;p&gt;This project will evaluate the performance of several models so an informed decision can be made on which type of model should be used to further study the mean sea level data. Data has been obtained from the NOAA website and it has been processed to create models using several statistical techniques such as linear, loess and the kNN method of Statistical Machine Learning.&lt;/p&gt;
description: This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.
DOI: 10.4231/n88m-7a62
title: Structural diversity and ecosystem function

description: &lt;table id="infotbl"&gt;
 &lt;tbody&gt;
 &lt;tr&gt;
 &lt;td&gt;
 &lt;p&gt;Biodiversity is assumed to be critical for ecosystem functions, but the ability for existing biodiversity measures to accurately predict ecosystem functions remains uncertain. To improve the accuracy of ecosystem function predictions, we propose a new vector of biodiversity metrics, structural diversity, that have the potential to better predict ecosystem functions at large spatial scales. Using lidar-derived canopy structural diversity metrics on 19 forested sites from the National Ecological Observation Network across the USA, we show that a set of proposed structural diversity metrics are better at predicting 50% of key ecosystem functions than current biodiversity measures of species richness and phylogenetic diversity. &lt;/p&gt;
 &lt;/td&gt;
 &lt;/tr&gt;
 &lt;/tbody&gt;
&lt;/table&gt;
description: Codes and data for published article: 
LaRue, EA, BS Hardiman, JM Elliott, S Fei. 2019. Structural diversity as a predictor of ecosystem function. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab49bb
DOI: 10.4231/c6de-n845
title: In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - MRI

description: &lt;p helvetica="" neue="" style="box-sizing: inherit; margin: 1em 0px; color: rgb(93, 93, 93); font-family: open_sansregular, "&gt;This MRI dataset is part of a larger series that also includes CFD and STB datasets from the same study. The three sets can be downloaded separately, or in one bundle.&lt;/p&gt;

&lt;p helvetica="" neue="" style="box-sizing: inherit; margin: 1em 0px; color: rgb(93, 93, 93); font-family: open_sansregular, "&gt;The data provided in this publication was used to evaluate parameters including wall shear stress (WSS), oscillatory shear index (OSI), and relative residence times (RRT) across multiple modalities and two patient-specific aneurysm geometries. Specifically, the assumptions and limitations of each modality coupled with the varying and often low spatial resolution and their subsequent effect on the hemodynamic metrics was explored. The results of this study demonstrated that non-dimensional parameters, such as OSI, were more robust to varying modalities and spatial resolutions and thus may provide more robust risk or growth and rupture assessments. These results demonstrate a need for further investigation and development of non-dimensional parameters and correlation of such parameters to risk of aneurysm.&lt;/p&gt;

&lt;p helvetica="" neue="" style="box-sizing: inherit; margin: 1em 0px; color: rgb(93, 93, 93); font-family: open_sansregular, "&gt;Additionally, the pulsatile particle velocimetry results provided here can be used as robust validation test cases for computational fluid dynamics (CFD) solvers.&lt;/p&gt;

&lt;p helvetica="" neue="" style="box-sizing: inherit; margin: 1em 0px; color: rgb(93, 93, 93); font-family: open_sansregular, "&gt;These data files were created using Matlab 2016.&lt;/p&gt;
description: In vivo MRI dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
DOI: 10.4231/5rw6-4z50
title: In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - CFD

description: &lt;p&gt;This CFD dataset is part of a larger series that also includes MRI and STB datasets from the same study. The three sets can be downloaded separately, or in one bundle.&lt;/p&gt;

&lt;p&gt;The data provided in this publication was used to evaluate parameters including wall shear stress (WSS), oscillatory shear index (OSI), and relative residence times (RRT) across multiple modalities and two patient-specific aneurysm geometries. Specifically, the assumptions and limitations of each modality coupled with the varying and often low spatial resolution and their subsequent effect on the hemodynamic metrics was explored. The results of this study demonstrated that non-dimensional parameters, such as OSI, were more robust to varying modalities and spatial resolutions and thus may provide more robust risk or growth and rupture assessments. These results demonstrate a need for further investigation and development of non-dimensional parameters and correlation of such parameters to risk of aneurysm.&lt;/p&gt;

&lt;p&gt;Additionally, the pulsatile particle velocimetry results provided here can be used as robust validation test cases for computational fluid dynamics (CFD) solvers.&lt;/p&gt;

&lt;p&gt;These data files were created using Matlab 2016.&lt;/p&gt;
description: In silico CFD dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
DOI: 10.4231/fnf9-e631
title: In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient-Specific Cerebral Aneurysms - STB

description: &lt;p&gt;This STB dataset is part of a larger series that also includes CFD and MRI datasets from the same study. The three sets can be downloaded separately, or in one bundle.&lt;/p&gt;

&lt;p&gt;The data provided in this publication was used to evaluate parameters including wall shear stress (WSS), oscillatory shear index (OSI), and relative residence times (RRT) across multiple modalities and two patient-specific aneurysm geometries. Specifically, the assumptions and limitations of each modality coupled with the varying and often low spatial resolution and their subsequent effect on the hemodynamic metrics was explored. The results of this study demonstrated that non-dimensional parameters, such as OSI, were more robust to varying modalities and spatial resolutions and thus may provide more robust risk or growth and rupture assessments. These results demonstrate a need for further investigation and development of non-dimensional parameters and correlation of such parameters to risk of aneurysm.&lt;/p&gt;

&lt;p&gt;Additionally, the pulsatile particle velocimetry results provided here can be used as robust validation test cases for computational fluid dynamics (CFD) solvers.&lt;/p&gt;

&lt;p&gt;These data files were created using Matlab 2016.&lt;/p&gt;
description: In vitro STB dataset from a pulsatile volumetric particle velocimetry study using two patient-specific cerebral aneurysm models.
DOI: 10.4231/7nsm-jj67
title: Monitored soil moisture and temperature in Indiana crop rotated field

description: &lt;p&gt;Soil moisture (m&lt;sup&gt;3&lt;/sup&gt;/m&lt;sup&gt;3&lt;/sup&gt;) and temperature (&deg;C) were measured at 10-minute intervals at depths of 10 cm, 20 cm, 40 cm, 60 cm and 80 cm in a crop rotated field in West Lafayette, IN (40.48128&deg;, -87.00031&deg;). Data were collected from water years 2018 (10/1/2017 - 9/30/2018) to 2019 (10/1/2018-9/30/2019). Data were screened to ensure quality of data and no gaps in time-series. Null data values were replaced with -9999 when sensors were not recording data. For instance, sensors were turned off intermittently during harvest of the 2018 water year.&lt;/p&gt;

&lt;p&gt;Soil Moisture Content (SMC) and soil temperature were collected with a Decagon (METER Group) 5TM sensor. The SMC represents the liquid content in the soil that can experience freezing. The SMC measurements range from 0.0 to 1.0 m&lt;sup&gt;3&lt;/sup&gt;/m&lt;sup&gt;3&lt;/sup&gt;  with a resolution of 0.0008 m&lt;sup&gt;3&lt;/sup&gt;/m&lt;sup&gt;3&lt;/sup&gt; from 0.0 to 0.50 m&lt;sup&gt;3&lt;/sup&gt;/m&lt;sup&gt;3&lt;/sup&gt;. The temperature measurements range from -40&deg;C to +60&deg;C with a resolution of 0.1&deg;C. Data were stored on an Em50 data logger and offloaded weekly. &lt;/p&gt;
description: Soil moisture and temperature data were collected at five different depths from October 2017 to September 2019 in a crop rotated field.
DOI: 10.4231/d5qy-8c29
title: Mobile LiDAR for highway

description: &lt;p&gt;Lane width evaluation is one of the crucial aspects in road safety inspection, especially in work zones where a narrow lane width can result in a reduced roadway capacity and also, increase the probability of severe accidents. Using mobile mapping systems (MMS) equipped with laser scanners is a safe and cost-effective method for rapidly collecting detailed information along road surface. This study presents an approach to derive lane width estimates using point clouds acquired from a geometrically-calibrated mobile mapping system. This dataset comprises the first and second road segments along an Interstate Highway (North-South) in the United States, with a total length of approximately 36 miles and it is located at an interstate highway work zone area. In this study, the road surface along the driving lane was extracted with the assistance of vehicle trajectory data and a height buffer determined on the basis of the standard pavement cross slope for U.S. highways. Next, the lane markings were extracted using an intensity-based thresholding followed by an identification of ambiguous lane markings. Then, an algorithm was developed for determining the lane direction without using trajectory data and the derived direction was used to compute the lane width using the equally spaced centerline points. Finally, the areas identified to consist of ambiguous lane markings, narrow lanes, or wide lanes were reported as polygons marked by the starting and ending point pair in order to visualize those on the 3D data as well as their back-projection onto RGB imagery.&lt;/p&gt;
description: Highway data collected by mobile LiDAR, including point cloud, images, and trajectory.
DOI: 10.4231/mfqf-q141
title: Mobile LiDAR for highway Mapping- road surfaces only

description: &lt;p&gt;Lane width evaluation is one of the crucial aspects in road safety inspection, especially in work zones where a narrow lane width can result in a reduced roadway capacity and also, increase the probability of severe accidents. Using mobile mapping systems (MMS) equipped with laser scanners is a safe and cost-effective method for rapidly collecting detailed information along road surface. This study presents an approach to derive lane width estimates using point clouds acquired from a geometrically-calibrated mobile mapping system. This dataset comprises the first and second road segments along an Interstate Highway (North-South) in the United States, with a total length of approximately 36 miles and it is located at an interstate highway work zone area. In this study, the road surface along the driving lane was extracted with the assistance of vehicle trajectory data and a height buffer determined on the basis of the standard pavement cross slope for U.S. highways. Next, the lane markings were extracted using an intensity-based thresholding followed by an identification of ambiguous lane markings. Then, an algorithm was developed for determining the lane direction without using trajectory data and the derived direction was used to compute the lane width using the equally spaced centerline points. Finally, the areas identified to consist of ambiguous lane markings, narrow lanes, or wide lanes were reported as polygons marked by the starting and ending point pair in order to visualize those on the 3D data as well as their back-projection onto RGB imagery.&lt;/p&gt;
description: Highway data collected by mobile LiDAR, including point cloud, images, and trajectory. The point cloud is a subset of the original point cloud, which contains road surfaces along the driving lane only.