cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7t1524x
title: State-and-transition simulation model of rangeland vegetation in southwest South Dakota (1969-2050)

description: This is a spatially-explicit state-and-transition simulation model of rangeland vegetation dynamics in southwest South Dakota. It was co-designed with resource management partners to support scenario planning for climate change adaptation. The study site encompasses part of multiple jurisdictions, including Badlands National Park, Buffalo Gap National Grasslands, and Pine Ridge Indian Reservation. The model represents key vegetation types, grazing, exotic plants, fire, and the effects of climate and management on rangeland productivity and composition (i.e., distribution of ecological community phases). See Miller et al. (2017) for further details. The model was built using the ST-Sim software platform (www.apexrms.com/stsm). ST-Sim allows users to develop and run spatially-explicit, stochastic state-and-transition simulation models (STSMs) of vegetation change, and is designed to simulate and compare possible vegetation conditions across a landscape over time by considering the interaction between succession, disturbances and management. ST-Sim is the latest in a 20-year lineage of STSM development tools that includes the Vegetation Dynamics Development Tool (VDDT), the Tool for Exploratory Landscape Scenario Analysis (TELSA), and the Path Landscape Model (Path). ST-Sim is intended as an upgrade to Path: in addition to all of the previous Path features, ST-Sim also provides a new option to run raster-based, spatially-explicit simulations.
DOI: 10.5281/zenodo.7969065
title: GaAs WGMR for THz photonics, M. I. Suresh, H. G. L. Schwefel, D. W. Vogt, Zenodo 2023

description: Datasets corresponding to all the results presented in the paper titled "GaAs whispering gallery mode resonators for terahertz photonics" by M. I Suresh, H. G. L. Schwefel, D. W. Vogt (2023).
DOI: 10.6084/m9.figshare.3365335.v1
title: Sharpe_PreySizeCompetition.csv

description: There are many benefits of group living, but also substantial costs, one of which is competition for resources. How scarce food resources are distributed among different members of a population or social group—whether via scramble or contest competition— can influence not only the variance in individual fitness, but also the stability and therefore survival of the group or population. 2. Attributes of the food resources themselves, such as their size, may also influence the type of intraspecific competition that occurs, and therefore the intrinsic stability of a group or population. 3. By experimentally manipulating the size of prey fed to artificial colonies of the social spider <i>Anelosimus eximius, </i>we investigated whether prey size could alter the degree of scramble vs. contest competition that takes place and, thus, potentially, influence colony population dynamics. 4. We found that large prey were shared more evenly than small prey, and that individuals in poor condition were more likely to feed when prey were large than when prey were small. Additionally we show that individuals participating in prey capture are also more likely to feed on the captured prey. 5. We developed a simple mathematical model to explore the prey sizes that would be energetically worth defending, i.e. “economically defendable”. The model shows that neither very small, nor prey above a certain size is worth monopolizing 6. As the size of prey captured by social spider colonies increases with colony size, our findings suggest that scramble competition may predominate in large colonies. Scramble competition, combined with the fact that prey biomass per capita declines as colonies grow beyond a certain size, would then explain why extremely large colonies of this social spider may suddenly go extinct. Our project thus illustrates the potential triple link between characteristics of the resources, individual behaviour, and population dynamics, a link rarely considered in an empirical setting.
DOI: 10.5517/ccv7hn6
title: CCDC 781778: Experimental Crystal Structure Determination

description: Related Article: M.J.Heeg, M.Kudrat, C.H.Winter|2010|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/thd5mhns6c.1
title: Malicious Website Identification Using Design Attribute Learning

description: This dataset contains design attributes collected for 35K websites.
It was created in Tel Aviv University for Design Learning applications.
The data was extracted using advanced web scraping techniques.
This is a skewed dataset - 697 of the websites were classified as 'Malicious' (y=1) based on GSB API and the rest are benign (y=0).
DOI: 10.3886/icpsr01316.v1
title: Using Implied Volatility to Measure Uncertainty About Interest Rates
title: Version 1

description: Option prices can be used to infer the level of uncertainty about future asset prices. The first two parts of this article explain such measures (implied volatility) and how they can differ from the market's true expectation of uncertainty. The third then estimates the implied volatility of three month eurodollar interest rates from 1985 to 2001 and evaluates its ability to predict realized volatility. Implied volatility shows that uncertainty about short-term interest rates has been falling for almost 20 years, as the levels of interest rates and inflation have fallen. And changes in implied volatility are usually coincident with major news about the stock market, the real economy, and monetary policy.
description: Datasets: 
 
 DS1: Dataset
description: (1) The file submitted is the program file 0505cnp.txt. (2) These data are part of ICPSR's Publication-Related Archive and are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.
DOI: 10.5066/f7z036bd
title: Floodplain sedimentation, bank erosion, and biogeochemical cycling of sediment and nutrients in Smith Creek (Virginia) 2012-2015

description: This USGS Data Release represents tabular data for chemical and physical attributes, rates of deposition, erosion, and mineralization of bank and floodplain sediments and soils from five study sites in the Smith Creek watershed between 2012 and 2015. The data release was produced in compliance with the new 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The dataset consists of 2 separate items: 1. Smith Creek floodplain soils dataset (tabular data) 2. Smith Creek bank soils dataset (tabular data) These data support the following publication: Gillespie, Jaimie L., Noe, Gregory B., Hupp, Cliff R., Gellis, Allen C., Schenk, Edward R., (in revision).Floodplain trapping, bank erosion, and biogeochemical cycling of sediment and nutrients in an agricultural watershed. Journal of the American Water Resources Association.
DOI: 10.5067/gfl20-mc061
title: GRACE-FO Monthly Geopotential Spherical Harmonics CSR Release 6.1 (RL06.1)
DOI: 10.5281/zenodo.8023205
title: CKN Edge AI Dataset for Image inference at the Edge (CEAD)

description: This synthetic workload models camera device requests for resource constrained inference requests at the Edge for Campaign Knowledge Network evaluation. The workload is a deterministic and pre-ordered set of time windows containing close to 5 million individual data points belonging to 1500 time windows, each time window with a number of requests between 100-1000. Composed of independent inference requests (events), the workload is structured to reflect sudden changes in need as reflected by the user-perceived quality of experience (e.g., accuracy and latency).
description: The dataset is owned by Indiana University. It's developed for the research of the NSF funded AI Institute for Intelligent CyberInfrastructure with Computational Learning in the Environment (ICICLE).
DOI: 10.6084/m9.figshare.22815713.v1
title: Prevalence of <em>Helicobacter pylori</em> infection in dyspeptic patients presenting to a tertiary care center of a developing country

description: This is an original cross-sectional study conducted in a hospital setting.
DOI: 10.5281/zenodo.8344658
title: Data for Center-surround interactions underlie bipolar cell motion sensitivity in the mouse retina

description: Data from the publication "Center-surround interactions underlie bipolar cell motion sensitivity in the mouse retina" published in <em>Nature Communications</em> (2022) https://doi.org/10.1038/s41467-022-32762-7. Code for working with this dataset may be found at https://github.com/eulerlab/bc-motion
DOI: 10.5281/zenodo.8344657
title: Data for Center-surround interactions underlie bipolar cell motion sensitivity in the mouse retina

description: Data from the publication "Center-surround interactions underlie bipolar cell motion sensitivity in the mouse retina" published in <em>Nature Communications</em> (2022) https://doi.org/10.1038/s41467-022-32762-7. Code for working with this dataset may be found at https://github.com/eulerlab/bc-motion
DOI: 10.6084/m9.figshare.22192831
title: Driving behaviour multimodal human factors preprocessed dataset

description: Driving behaviour multimodal human factors preprocessed dataset, including EEG, EMG, ECG and GSR.
DOI: 10.17882/96615
title: Sinking rates, orientation and behaviour of pennates diatoms in coastal waters

description: Phytoplankton cells can no longer be considered as passive particles and they can modulate impacts of selection factors (light, turbidity and mixing) through a wide range of adaptations . Cell shape and/or chain length modulation is one of these processes, but it still mainly studied as an adaptation or an acclimatation to a specific stress (light, nutrients, predation, etc.). This study showed that cell shape and size may have a greater role than previously known in phytoplankton ecology and species adaptation by permitting synchronous processes to be set up. Through microscale biophysical interactions leading to specific cell reorientation processes, we show that cell geometry not only modulates their sinking rate but can also provide a fast sensor response for their environment. Gyrotaxis has already been described in detail for motile phytoplankton cells, but the reorientation process described here can occur in the environment without motile capacity. An additional consistent behaviour was also recently described for a diatom species (Pseudo- nitzschia delicatessima) and with this study, and we extend this observation to Pseudo-nitzschia Pungens and Pseudo-nitzschia Fraudulenta. Our observation emphasizes the generality of this process which adds a new level of complexity with regards to cellular interactions and their network of sensors. Data : Data set is divided in three parts. 1- Labels per strain are provided in the ods file. 2- Flowcytometer raw files (.cyz) and exported files (.csv) for 19 phytoplankton strains are provided in the zip files. Three replicates were made over the time (three subdirectories). Flowcytometer analyses were made with and without images acquisition as indicated in each filename. Clusters available in the exported files were made manually and according to the number of cell per particle. Mean abundances per cluster are provided in the csv files. 3- Processed LISST data. Temporal evolution of cell’s aspect ratio R, defined as the ratio between the cross-sectional (r1) and the transapical cell axis (r2) of Pseudo-nitzschia fraudulenta strains in ligth and dark conditions.
DOI: 10.17632/bk5pfkp3zt.1
title: 3D LiDAR and Photogremmetry Scans of a Stilt House in Tai O Village - 2022 - Case 687795

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 687795" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been denoised using VRMesh software to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/bx8wb44gp4.1
title: 3D LiDAR and Photogremmetry Scans of a Stilt House in Tai O Village - 2022 - Case 328954

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 328954" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been denoised using VRMesh Software to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/yzz73dt884.1
title: 3D LiDAR and Photogremmetry Scans of a Stilt House in Tai O Village - 2022 - Case 169032

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 169032" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/tpgm6jmfmd.1
title: 3D LiDAR and Photogremmetry Scans of a Stilt House in Tai O Village - 2022 - Case 241590

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 241590" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/gddtdktjwp.1
title: 3D LiDAR and Photogremmetry Scans of a Stilt House in Tai O Village - 2022 - Case 729580

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 729580" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/m7fgr5nx7p.1
title: 3D LiDAR and Photogremmetry Scans of a Stilt House in Tai O Village - 2022 - Case 694827

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 694827" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/yykn6sc2z6.1
title: 3D LiDAR and Photogrammetry Scans of a Stilt House in Tai O Village - 2022 - Case 069817

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 069817" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/yykn6sc2z6.2
title: 3D LiDAR and Photogrammetry Scans of a Stilt House in Tai O Village - 2022 - Case 069817

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 069817" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.
DOI: 10.17632/yykn6sc2z6.3
title: 3D LiDAR and Photogrammetry Scans of a Stilt House in Tai O Village - 2022 - Case 069817

description: This data includes a point cloud file from a combined photogrammetric and LiDAR scan of a stilt house in Tai O Village. The house is designated "Case 069817" in the research project record. Researchers collected the scan using a single, approximately 10 minute walk-through of the house with the Leica-brand BLK2Go model 3D environment scanner. The scan describes the interior and partial exterior of a stilt house in high detail and color. The scan has been decimated to a voxel size of 5 mm to reduce file size. The data provides clear enough rendering of the physical conditions of the house to allow interpretation of the scan into description of the house's construction, contents, and spatial use. The data is available under embargo of one year to protect the personal information of residents of the house, provided for purposes of digital conservation of the building, and for interpretation of the house's physical conditions and interior contents through further research. More detailed information on the dataset, including the date the scan was conducted, the location of the house, and related interview and survey datasets are available upon reviewed request.