cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4119/unibi/2703095
title: Supplementary Material for "Sound and Meaning in Auditory Data Display"

description: Auditory data display is an interdisciplinary field linking auditory perception research, sound engineering, data mining, and human-computer interaction in order to make semantic contents of data perceptually accessible in the form of (nonverbal) audible sound. For this goal it is important to understand the different ways in which sound can encode meaning. We discuss this issue from the perspectives of language, music, functionality, listening modes, and physics, and point out some limitations of current techniques for auditory data display, in particular when targeting high-dimensional data sets. As a promising, potentially very widely applicable approach, we discuss the method of model-based sonification (MBS) introduced recently by the authors and point out how its natural semantic grounding in the physics of a sound generation process supports the design of sonifications that are accessible even to untrained, everyday listening. We then proceed to show that MBS also facilitates the design of an intuitive, active navigation through "acoustic aspects", somewhat analogous to the use of successive two-dimensional views in three-dimensional visualization. Finally, we illustrate the concept with a first prototype of a "tangible" sonification interface which allows us to "perceptually map" sonification responses into active exploratory hand motions of a user, and give an outlook on some planned extensions. ### Table 1: Sound examples for the particle trajectory sonification model + Single Particle in a single data point potential function phi(r): [S1 (mp3)](https://pub.uni-bielefeld.de/download/2703095/2703096) + Set of 50 particles in the potential function for a 2D dataset with one cluster: [S2 (mp3)](https://pub.uni-bielefeld.de/download/2703095/2703097) --- and with three clusters: [S3 (mp3)](https://pub.uni-bielefeld.de/download/2703095/2703098) + Sequence of particle trajectory sonifications, systematically decreasing the bandwidth sigma, starting with large values, where V contains only one trough at the mean of all data, ending with sigma so small that all data point potential functions are well separated. Listen to the examples for a dataset with a gaussian distribution of data points: [S4 (mp3)](https://pub.uni-bielefeld.de/download/2703095/2703099) and with a mixture of 3 gaussian distributions with different mean and covariance [S5 (mp3)](https://pub.uni-bielefeld.de/download/2703095/2703100)
DOI: 10.4119/unibi/2704140
title: Supplementary Material for "Real-Time Control of Sonification Models with an Audio-Haptic Interface"

description: This paper presents a new interface for controlling sonification models. A haptic controller interface is developed which allows both to manipulate a sonification model, e.g. by interacting with it and to provide a haptic data representation. A variety of input types are supported with a hand-sized interface, including shaking, squeezing, hammering, moving, rotating and accelerating. The paper presents details on the interface under development and demonstrates application of the device for controlling a sonification model. For this purpose, the Data-Solid Sonification Model is introduced, which provides an acoustic representation of the local neighborhood relations in high-dimensional datasets for binary classification problems. The model is parameterized by a reduced data representation obtained from a growing neural gas network. Sound examples are given to demonstrate the device and the sonification model. ## Sound Demonstrations for the Audio-Haptic Ball Interface * #### Sounds for atomic collisions: Each model mass is assigned a material according to the data within the neurons voronoi cell. In our situation, binary classification data is used and the object type is either A (or B) if data from class A (or B) dominates the cell. + Collision between a A object with A object: [sound](https://pub.uni-bielefeld.de/download/2704140/2704141) (wood) + Collision between a B object and a B object: [sound](https://pub.uni-bielefeld.de/download/2704140/2704142) (plastic) + Collision between a A object and a B object: [sound](https://pub.uni-bielefeld.de/download/2704140/2704143) (glass) * #### Table 1: Sound examples for synthetic datasets from binary classification problems File/Track: A) two separated classes -- sound B) two classes showing little overlap along one axis -- sound C) two classes that overlap - inseparable classes -- sound Description: The sonification model was excited by shaking the interface device. The shaking activation is given by the acceleration a_x(t), a_y(t) . During the first half of the sound examples, the interface is shaken along the x axis, during the second half along the y axis. Duration: about 5 sec. * #### Table 2: Sound examples for Data solid sonifications using a GNG for the dataset (B) (see above) for different network complexities. File/Track: A: 5 neurons sound B: 10 neurons sound C: 15 neurons sound D: 20 neurons sound E: 25 neurons sound F: 30 neurons sound Description: Shaking excitation of the dataset with increasing network complexity. Duration: about 2 sec / example * Sound Example for shaking while GNG adaptation proceeds, and thus while the data-solid structure changes over time: [sound example](https://pub.uni-bielefeld.de/download/2704140/2704153) . It can be heard that with ongoing GNG growth more and more neurons exist (more collisions). From the pitch it can be perceived that the number of data points that have a neuron as its nearest neighbor decreases - new neurons are added between neurons that are frequently activated.
DOI: 10.4119/unibi/2707135
title: Supplementary Material for "Gestural Interactions for Multi-parameter Audio Control and Audification"

description: ## Interactive Audification Examples ### Interactive Filter Optimization: [Video avi (14MB)](https://pub.uni-bielefeld.de/download/2707135/2707138) ### Interactive Audification of Seismic Data: [Video avi (14MB)](https://pub.uni-bielefeld.de/download/2707135/2707139)
DOI: 10.5281/zenodo.817473
title: Impacts Summary Table

description: This table summarizes the impacts calculated for "Estimating Economic Damage from Climate Change in the United States". Each sheet describes a separate impact. Within that sheet, the results are broken up into columns for aggregated to each region, with weights determined by the second column (and generally specific to each sector), and time periods. Within each period, the 5%, 17%, 50%, 83% and 95% quantiles are reported. The regions reported are the national average result, a result for each NCA region, and a result for each state. Each sheet has 4 tables, one for each RCP, starting with RCP 8.5 at the top, and ending with RCP 2.6 at the bottom.
DOI: 10.5281/zenodo.817474
title: Impacts Summary Table

description: This table summarizes the impacts calculated for "Estimating Economic Damage from Climate Change in the United States". Each sheet describes a separate impact. Within that sheet, the results are broken up into columns for aggregated to each region, with weights determined by the second column (and generally specific to each sector), and time periods. Within each period, the 5%, 17%, 50%, 83% and 95% quantiles are reported. The regions reported are the national average result, a result for each NCA region, and a result for each state. Each sheet has 4 tables, one for each RCP, starting with RCP 8.5 at the top, and ending with RCP 2.6 at the bottom.
DOI: 10.18739/a26r0m
title: Greenhouse gas flux measurements at the zero curtain, North Slope, Alaska, 2012-2016
DOI: 10.4119/unibi/2704155
title: Supplementary Material for "Crystallization Sonification of High-dimensional Datasets"

description: #### Sound Demonstrations for the Data Crystallization Sonification (DCS) Model * Table 1: Sound Examples for Crystallization Sonification for 5d Gaussian dataset File/Track: DCS started (E1a) at center, (E1b) in tail, (E1c) from far outside Description: DCS for dataset that is N{0, I_5} excited at different locations Duration: 1.4 s <br> * Table 2/Figure 4: Mixture of 2 Gaussians * DCS started at point A: [E2a](https://pub.uni-bielefeld.de/download/2704155/2704159) * DCS started at point B: [E2b](https://pub.uni-bielefeld.de/download/2704155/2704160) <br> * Table 3: Sound examples for DCS on variation of the energy decay time File/Track: tau_(1/2) = (E3a) 0.001, (E3b) 0.005, (E3c) 0.01, (E3d) 0.05, (E3e) 0.1, (E3f) 0.2 Description: DCS for a mixture of two Gaussians varying the energy decay time tau_(1/2) Duration: 1.4 s <br> * Table 4: Sound examples for DCS on variation of the sonification time File/Track: T = 0.2s (E4a) , 0.5s (E4b), 1s (E4c) , 2s (E4d) , 4s (E4e) , 8s (E4f) Description: DCS for a mixture of two Gaussians on varying the duration T Duration: 0.2s -- 8s <br> * Table 5: Sound examples for DCS for different excitation locations File/Track: starting point: C0 (E5a), C1(E5b), C2(E5c) Description: DCS for a mixture of three Gaussians in 10d space with different rang(Sigma) = {2,4,8} Duration: 1.9 s <br> * Table 6: Sound examples for DCS for the mixture of a 2d uniform distribution and a 5d Gaussian File/Track: condensation nucleus in (x0,x1)-plane at: E6a (-6,0)=C1, E6b(-3,0)=C2, E6c( 0,0)=C0 Description: DCS for a mixture of a uniform 2d and a 5d Gaussian Duration: 2.16 s
DOI: 10.5066/f7cf9n8c
title: Data release in support of A case study examining the efficacy of drainage setbacks for limiting effects to wetlands in the Prairie Pothole Region, US

description: A study was conducted to assess the efficacy of drainage setbacks for limiting effects to wetlands in the Prairie Pothole Region, USA. Surface-water levels, along with primary components of the wetland water balance, were monitored at four wetland catchments over 3 years. During the second year of the study, subsurface drainage systems were installed in two of the wetland catchments using drainage setbacks, and the drainage discharge volumes were monitored. A catchment water-balance model also was used to assess the potential effect of subsurface drainage (i.e., reduced precipitation runoff) on wetland hydrology, and to assess the efficacy of drainage setbacks for mitigating these effects. These data directly support the associated publication A case study examining the efficacy of drainage setbacks for limiting effects to wetlands in the Prairie Pothole Region, USA which is referenced within the Metadata.
DOI: 10.5066/f72j6933
title: Shapefile of sampling sites for the assessment of groundwater quality at selected wells throughout Puerto Rico, December 2015 to November 2016

description: This U.S. Geological Survey (USGS) data release consists of a point shapefile with the location of the sites used in sampling program to assess the water quality at selected wells throughout Puerto Rico conducted by the U.S. Geological Survey (USGS) in cooperation with the Puerto Rico Environmental Quality Board (PREQB) during December 2015 to November 2016.
DOI: 10.5066/f7wh2ngr
title: The importance of parameterization when simulating the hydrologic response of vegetative land-cover change

description: Data release that supports "The importance of parameterization when simulating the hydrologic response of vegetative land-cover change". The data release includes the nessecary processing scripts to recreate the inputs and outputs shown in the publication. The actual outputs from the analysis are not included herein because of storage size limitations.
DOI: 10.14469/hpc/2697
title: HDA-2+4 mechanism, TS, trans, p=H, IRC

description: Gaussian Calculation
DOI: 10.5066/f7r49p83
title: Northeastern Hydrologic Benchmark Network (HBN) Soil Chemistry and Catskill Mountain Water-Quality Data

description: This data product contains soil chemistry data from 4 locations. Two of the locations were located in the Neversink River watershed near Claryville, NY (01435000) in the Catskill Mountains of New York (Fall Brook and Winnisook Creek), 1 of the locations was the Young Womans Creek watershed near Renovo, PA (01545600) and the last site was the Wild River watershed at Gilead, Maine (01054200). Soil chemistry was collected at 2 times at each location: in 2001 and 2011 in Fall Brook, Young Womans Creek and Wild River and in 1993 and 2012 in Winnisook. This data product also contains water-quality data from 5 water-quality stations: West Branch Neversink River at Winnisook Lake [01434021], East Branch Neversink River northeast of Denning [0143400680], Rondout Creek above Red Brook at Peekamoose [01364959], Biscuit Brook above Pigeon Brook at Frost Valley [01434025], Neversink River at Claryville [01435000]. The data were collected from water year 1992 to 2014. Stream water discharge is included with each water quality sample. For 3 of the stations (01434021, 0143400680, 01364959) discharge was discontinued in 2012. For those stations, discharge from 2012 to 2014 was estimated using linear regression analyses of nearby or downstream stations. The results of those regression analyses are also included in this data product.
DOI: 10.15787/vtt1/ey2p6e
title: A naturalistic driving approach to evaluating crash risk among diabetic drivers

description: Project Description This dataset supported a study that used participant medical condition data and crash and near-crash event data (and associated baseline epochs) from the SHRP2 dataset to examine the relationship between diagnosed diabetes and motor vehicle crash risk among U.S. adults. Data Request Scope The dataset included information about crashes and near-crashes among diagnosed diabetic participants from the SHRP2 database. Information from the following types of participant groups is included: Type 1 Diabetes, Type 2 non-insulin dependent Diabetes, Type 2 insulin-dependent Diabetes, no diagnosed diabetes. Information is available on a total of 24117 events for both case and control drivers. Data Specification Data for the dataset were taken from the InSight website . The following fields are included in the dataset: anonymousParticipantID eventID sex ageGroup ethn yrsDriving metab nrvsandSlp heart eventSeverity1 crashSeverity1 eventSeverity2 crashSeverity2 distanceinKM ht wt rxMeds
DOI: 10.15787/vtt1/lcpkag
title: Teen Driver Crashes: Exposure Results from SHRP 2 Naturalistic Driving Study

description: Project Description This dataset was created in support of a study to evaluate teen drivers exposure to driving (hours traveled or vehicle miles traveled) as well as crash rates and contributing factors, both behavioral and environmental, by geographic location. Data Request Scope This dataset consisted of: trip summary data, participant data, event data, and vehicle data for SHRP 2 primary drivers aged 16-19 years and 35-54 years. Data Specification The following variables were delivered: Trip Summary Table: Trip ID, Participant ID, Trip Distance, Trip DurationDay Number in Study, Trip Start Month Local, Trip start local time hour of day, and Trip Day of week. Vehicle database: Participant ID, Site location, and Vehicle class. Driver History Questionnaire: Participant ID, Average annual mileage, Years Driving, and Training. Driver Demographic Questionnaire: Participant ID, Gender, Age Group, Participant Receive License, and Driver Mileage Last Year. Event Database: Participant ID, Event ID, Trip ID, Event Severity 1/2/3 = Crash; Near-Crash; Baseline, Incident type 1 and 2, Event nature 1 and 2, Crash severity 1 and 2, Driver Behavior 1/2/3, Secondary Task 1/2/3, Driver impairment, Lighting, Relation to junction, Road type, Traffic density, Weather, Seatbelt Use, Visual Obstructions, Vehicle contributing factors, Road surface condition, Contiguous travel lanes, Through travel lanes, Traffic control, Alignment, Grade, Traffic flow, and Locality. Please see DataDictionary.pdf for detailed variable descriptions. Data were taken from the InSight website .
DOI: 10.15787/vtt1/ucywps
title: Identification of Crashes or Near Crashes from Vehicle Kinematics Data

description: Project Description This dataset was used to develop algorithms for the utilization of vehicle acceleration, deceleration, and rotation (obtained using accelerometers and gyroscopes) in the identification of vehicle crashes or near-crashes. This identification is hindered by noise introduced into the signal by the instrumentation or road features. The analysis was intended to create robust numerical computation methods that enables correct detection of the vehicle acceleration, deceleration, and rotation in crash or near-crash situations. Data Request Scope The dataset includes data from 1,000 trips in the SHRP 2 NDS containing a mix of crashes, near-crashes, and baselines. Data Specification An "EventSelectionKey" file contains the FILE_ID, EVENT_START_TIME, EVENT_END_TIME, and EVENT_TYPE for each of the trips included in the dataset. The following fields are included for each of the 1000 trips: System.Time_Stamp vtti.timestamp vtti.file_id vtti.accel_x vtti.accel_y vtti.accel_z vtti.gyro_x vtti.gyro_y vtti.gyro_z
DOI: 10.15787/vtt1/vov4qj
title: The Association of Teenage Personality and Psychosocial Factors with Crash Rates

description: Project Description This dataset supported a study to evaluate the association between psychosocial factors and teen drivers’ crash rates as compared to psychosocial factors and crash rates among older drivers. Data Request Scope The dataset includes data from primary SHRP 2 drivers aged 16–19 years and 35-54 years. It includes elements from the trip summary data, event data, vehicle data, and participant data (including questionnaire data contributing to analysis of psychosocial factors). Data Specification Please refer to the data dictionary file for details on the variables included in the dataset. Additional information about the trip summary, vehicle information, participant questionnaires, and event detail data can be found in the "Background" section of the InSight website .
DOI: 10.18739/a24r34
title: Tutakoke, Alaska field site climate data 2016
DOI: 10.18739/a28j6f
title: Methane and nitrous oxide fluxes as a function of the timing of goose grazing, Yukon Kuskokwim Delta, Alaska, 2016
DOI: 10.18739/a2d78b
title: Tutakoke, Alaska field site climate data 2016
DOI: 10.18739/a2rj6s
title: Acoustic travel time and hydrostatic pressure measurements from Sermilik Fjord, southeastern Greenland, 2011-2016
DOI: 10.5063/f1cf9n69
title: SNAPP - Mapping the Global Potential for Marine Aquaculture

description: Marine aquaculture presents an opportunity for increasing seafood production in the face of both growing demand for marine protein and limited scope for expanding harvest of wild fisheries. Unknown, however, is the global capacity for increased aquaculture production from the ocean or the relative productivity potential across countries. Here, we use an innovative approach to calculate and map potential marine aquaculture production, drawing from physiology, allometry, and growth theory. Even after applying substantial constraints based on existing ocean uses, we find vast areas in nearly every coastal country that are suitable for aquaculture. Development potential far exceeds the space required to meet foreseeable seafood demand; indeed, current total landings of all wild capture fisheries could be produced using less than 0.015% of global ocean area. This analysis demonstrates that suitable space is unlikely to limit marine aquaculture development, and that considerable flexibility exists to site farms in a way that aligns with economic, environmental, and social objectives. In an era shaped by a growing population and environmental uncertainty, sustainable marine aquaculture has widespread potential to enhance global food supplies.
DOI: 10.5066/f7vq315d
title: Point measurements of temperature and water quality in main-channel and off-channel features of the Willamette River, 2015-2016

description: Water quality point measurements were collected by the US Geological Survey within the main channel Willamette River and its off-channel features in the summer and autumn of 2015 and 2016. All measurements include location, time, temperature, and depth below water surface, while most also include specific conductivity, dissolved oxygen, and pH.
DOI: 10.18739/a23v2g
title: IceTrendr: An Automated Visualization and Analysis Tool for Mapping Changes in Glacier Extent from Landsat, North America, 1984-2015
DOI: 10.5066/f7w66hxb
title: Elevation change along a coastal wetland landscape gradient from tidal freshwater forested wetland to oligohaline marsh in the Southeastern U.S.A. (2009-2014)

description: We assessed the resilience of wetlands to sea-level rise along a transitional gradient from tidal freshwater forested wetland (TFFW) to oligohaline marsh by measuring processes controlling wetland elevation. We identified fundamental differences in how resilience is maintained across wetland community types, which have important implications for management activities that aim to restore or conserve resilient systems.
DOI: 10.15121/1366426
title: Geothermal Exploration Raster Files for Utah Play Fairway Analysis

description: This submission contains raster files associated with several datasets that include earthquake density, Na/K geothermometers, fault density, heat flow, and gravity. Integrated together using spatial modeler tools in ArcGIS, these files can be used for play fairway analysis in regard to geothermal exploration.
DOI: 10.5281/zenodo.820576
title: Automotive Sensor Data. An Example Dataset from the AEGIS Big Data Project

description: This is an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732189. The time series data has been collected by using a BeagleBone single plate computer which has been developed at VIF to collect data for driving analytics. The BeagleBoard can be connected to the OBD2 interface of a vehicle to capture data from CAN bus and has been additionally equipped with further sensors (GPS, gyroscope, acceleration). The data in this research dataset was collected during 35 different trips conducted by one driver driving one vehicle in the Graz area in Austria.
description: Research dataset of the AEGIS project
DOI: 10.5281/zenodo.820575
title: Automotive Sensor Data. An Example Dataset from the AEGIS Big Data Project

description: This is an example research data dataset for the automotive demonstrator within the "AEGIS - Advanced Big Data Value Chain for Public Safety and Personal Security" big data project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732189. The time series data has been collected by using a BeagleBone single plate computer which has been developed at VIF to collect data for driving analytics. The BeagleBoard can be connected to the OBD2 interface of a vehicle to capture data from CAN bus and has been additionally equipped with further sensors (GPS, gyroscope, acceleration). The data in this research dataset was collected during 35 different trips conducted by one driver driving one vehicle in the Graz area in Austria.
description: Research dataset of the AEGIS project