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Calibration and validation campaign 2022 ICESat-2, NASA and UT Austin
No full textAirborne lidar datasets collected in the Arctic Ocean, as part of the NASA's Calibration and Validation Campaign, 2022.
-- This is a sample dataset used in a specific study --
-- Please contact the researcher for more comprehensive access to dataset acquired in the campaign --
The Arctic Ocean summer sea ice lidar data acquisition campaign was
executed in July 2022 based out of Thule Air Force Base. The campaign provided scientists with detailed airborne lidar data sets to study a variety of research topics.
Airborne lidar dataset was collected using a Leica Chiroptera 4X system.
Datasets are published in UTM N16.
laz files are compressed las files.
There are 2 sets of data: NIR and green-wavelength (1064 and 515 nm).
NIR --> TD
Green --> HD
FL --> Flight line numbe
TAMU TRACER SMPS-POPS Merged Size Distribution
No full textThis data is generated using measurements collected during the 2022 DOE ARM TRACER field campaign. Aerosol size distribution data collected by the Scanning Mobility Particle Sizer (SMPS) is merged with data from the Portable Optical Particle Spectrometer (POPS). This merging process involves determining the aerosol refractive index used for POPS sizing to minimize discrepancies in the overlapping portion of the size distributions measured by SMPS and POPS
Temperature, hydration, and physical performance differences of collegiate male soccer athletes between synthetic turf and natural turfgrass during competitive 6v6 matches in a hot environment
No full textThis study examines the thermoregulatory responses, hydration status, and physical performance of collegiate male soccer athletes competing on synthetic (ST) and natural turf (NT) in a hot environment. With a focus on comparing athlete responses between the two pitch types, the study aims to provide valuable data to inform policies and decisions about competitions on ST and NT pitches in warmer climates.
The study included twenty-six athletes from the Texas A&M University Men’s Club Soccer team, with analyses focused on nineteen athletes who completed matches on both ST and NT surfaces. The participants, experienced and highly fit soccer athletes, were divided into two groups for fluid monitoring: a fluid-restricted group and a fluid-allowed group. Conducted in September 2021 at the Penberthy Recreational Sports Complex, the crossover design involved each participant playing on both pitch types, with a two-week recovery period between sessions. Data were collected during six total 6v6 soccer matches, held at various times of day to capture different microclimate conditions. Each match consisted of four 22.5-minute quarters, with a 10-minute break for data collection in a nearby controlled environment.
Data collection methods were extensive, including microclimate measurements using meteorological sensors for ambient conditions and thermal imaging for surface temperatures. Physiological data included continuous heart rate monitoring for all participants, and continuous skin and core temperature measurements for fluid-restricted participants, who were also weighed before and after each quarter to estimate fluid loss. Physical performance metrics, such as distance, speed, and acceleration, were recorded using wearable Titan 2+ devices.
Data cleaning procedures were conducted to ensure accuracy and consistency. All sensor data were pre-calibrated, and any outliers or inconsistencies from environmental interference were removed. Heart rate data with connectivity issues were interpolated using adjacent values, and participant weight data were adjusted for clothing differences to maintain comparability. Physical performance data were reviewed for completeness, and any out-of-range or malfunctioning readings were excluded.
This dataset captures microclimate, physiological, and physical performance data, allowing for a comparative analysis of athletes’ responses on ST and NT in warm conditions
Carta a su esposa sobre la traición de Don Ramón Martínez Caro, 1836 septiembre 25
No full textSanta Anna informa a su esposa sobre la traición de Don Ramón Martínez Caro, a quien Don Tomás González le presentó antes de su partida; Santa Anna fue capturado más tarde con Martínez Caro. Descubrió que Martínez Caro le robó uno de los botones de brillantes de su camisa, que estuvo desaparecido durante días. Advierte a su esposa que no crea nada de lo que Martínez Caro pueda decir o hacer, ya que podría intentar aprovecharse de la difícil situación de Santa Anna y registrar su equipaje, así como el del difunto Castrillón, en busca de documentos valiosos. Santa Anna aconseja a su esposa que busque la ayuda del compadre Vásquez para garantizar la custodia segura del botón robado, que vale quinientos pesos. Santa Anna ha solicitado permiso al gobierno para enviar a alguien a informar a su esposa sobre la situación y para enviar su disposición testamentaria en caso de que no sobreviva a su situación actual. Termina la carta instando a su esposa a cuidar de sus hijos y a mantenerse bien, como lo desea su apasionado esposo. —— Santa Anna informs his wife about the betrayal of Don Ramón Martínez Caro, who Don Tomás González presented to him before his departure; Santa Anna and was later captured with Martínez Caro. He discovered that Martínez Caro stole one of his diamond buttons from his shirt, which was missing for days. He warns his wife not to believe anything Martínez Caro might say or do, as he may try to take advantage of Santa Anna's difficult situation and search his luggage, and that of the deceased Castrillón, for valuable documents. Santa Anna advises his wife to seek the help of compadre Vásquez to ensure the safekeeping of the stolen button, worth five hundred pesos. Santa Anna has requested permission from the government to send someone to inform his wife of the situation and to send his testamentary disposition in case he does not survive his current predicament. He ends the letter urging his wife to take care of their children and to remain well, as desired by her passionate husband. 1 f. (2 p.
CSI Dataset for Federated Learning of Context-Dependent CSI Feedback Autoencoders
No full textCSI Dataset for Federated Learning of Context-Dependent CSI Feedback Autoencoder
Theses and Dissertations Related to Postcolumbian Archaeology in Belize
No full textList of theses and dissertations largely focused on Postcolumbian (Historical) archaeology in Beliz
SLC25A51 Decouples the Mitochondrial NAD+/NADH Ratio to control proliferation of AML cells. Lu et al.
No full textSLC25A51 selectively imports oxidized NAD+ into the mitochondrial matrix and is required for sustaining cell respiration. We observed an elevated expression of SLC25A51 that correlated with poorer outcomes in Acute Myeloid Leukemia (AML) patient data, and we sought to determine the role SLC25A51 may serve in this disease. We found that lowering SLC25A51 levels led to increased apoptosis and prolonged survival in orthotopic xenograft models; this was rescued by importing NAD+ or re-oxidization of mitochondrial NADH. Metabolic flux analyses indicated that depletion of SLC25A51 shunted flux away from oxidative pathways and forced glutamine utilization for reductive carboxylation to support aspartate production, notably without increased glycolytic flux. Consequently, partial depletion of SLC25A51 sensitized AML cells to glutamine deprivation and glutaminase inhibitor CB-839. Together, the data indicate that AML cells upregulate SLC25A51 to decouple mitochondrial NAD+/NADH for supporting oxidative reactions from a variety of fuels and for a proliferative advantage. Thus, SLC25A51 represents a critical regulator that can be exploited by cancer cells and may be a vulnerability for refractory AML
Supporting Information for the Manuscript "The Role of Ice and Latitude-Dependent Mantling on Boulder Distributions Across the Martian Northern Lowlands"
No full textThe supporting information (SI) for the manuscript "The Role of Ice and Latitude-Dependent Mantling on Boulder Distributions Across the Martian Northern Lowlands" presents spatial analyses of boulder distribution patterns in the northern lowlands of Mars. The SI includes an Excel file (xlsx) with the processed data and a Word document (docx) with additional method descriptions, figures, and tables. The SI also provides summary statistics of the boulder survey
Outdoor MEDIA data
No full textData for analysis for PLOS One publication from the Outdoor MEDIA stud
Community Embedded Robotics: A Multimodal Dataset on Perceived Safety during Indoor Mobile Robot Encounters
No full text
Introduction
As mobile robots proliferate in communities, designers must consider the impacts these systems have on the users, onlookers, and places they encounter. It becomes increasingly necessary to study situations where humans and robots coexist in common spaces, even if they are not directly interacting. This dataset presents a multidisciplinary approach to study human-robot encounters in an indoor apartment-like setting between participants and two mobile robots. Participants take questionnaires, wear sensors for physiological measures, and take part in a focus group after experiments finish. This dataset contains raw time series data from sensors and robots, and qualitative results from focus groups. The data can be used to analyze measures of human physiological response to varied encounter conditions, and to gain insights into human preferences and comfort during community encounters with mobile robots.
Dataset Contents
A dictionary of terms found in the dataset can be found in the "Data-Dictionary.pdf"
Synchronized XDF files from every trial with raw data from electrodermal activity (EDA), electrocardiography (ECG), photoplethysmography (PPG) and seismocardiography (SCG). These synchronized files also contain robot pose data and microphone data.
Results from analysis of two important features found from heart rate variability (HRV) and EDA. Specifically, HRV_CMSEn and nsEDRfreq is computed for each participant over each trial. These results also include Robot Confidence, which is a classification score representing the confidence that the 80 physiological features considered originate from a subject in a robot encounter. The higher the score, the higher the confidence
A vectormap of the environment used during testing ("AHG_vectormap.txt") and a csv with locations of participant seating within the map ("Participant-Seating-Coordinates.csv"). Each line of the vectormap represents two endpoints of a line: x1,y1,x2,y2. The coordinates of participant seating are x,y positions and rotation about the vertical axis in radians.
Anonymized videos captured using two static cameras placed in the environment. They are located in the living room and small room, respectively.
Animations visualized from XDF files that show participant location, robot behaviors and additional characteristics like participant-robot line-of-sight and relative audio volume.
Quotes associated with themes taken from focus group data. These quotes demonstrate and justify the results of the thematic analysis. Raw text from focus groups is not included for privacy concerns.
Quantitative results from focus groups associated with factors influencing perceived safety. These results demonstrate the findings from deductive content analysis. The deductive codebook is also included.
Results from pre-experiment and between-trial questionnaires
Copies of both questionnaires and the semi-structured focus group protocol.
Human Subjects
This dataset contain de-identified information for 24 total subjects over 13 experiment sessions. The population for the study is the students, faculty and staff at the University of Texas at Austin. Of the 24 participants, 18 are students and 6 are staff at the university. Ages range from 19-48 and there are 10 males and 14 females who participated. Published data has been de-identified in coordination with the university Internal Review Board. All participants signed informed consent to participate in the study and for the distribution of this data.
Access Restrictions
Transcripts from focus groups are not published due to privacy concerns. Videos including participants are de-identified with overlays on videos. All other data is labeled only by participant ID, which is not associated with any identifying characteristics.
Experiment Design
Robots
This study considers indoor encounters with two quadruped mobile robots. Namely, the Boston Dynamics Spot and Unitree Go1. These mobile robots are capable of everyday movement tasks like inspection, search or mapping which may be common tasks for autonomous agents in university communities. The study focus on perceived safety of bystanders under encounters with these relevant platforms.
Control Conditions and Experiment Session Layout
We control three variables in this study:
Participant seating social (together in the living room) v. isolated (one in living room, other in small room)
Robots Together v. Separate
Robot Navigation v. Search Behavior
A visual representation of the three control variables are shown on the left in (a)-(d) including the robot behaviors and participant seating locations, shown as X's. Blue represent social seating and yellow represent isolated seating. (a) shows the single robot navigation path. (b) is the two robot navigation paths. In (c) is the single robot search path and (d) shows the two robot search paths. The order of behaviors and seating locations are randomized and then inserted into the experiment session as overviewed in (e). These experiments are designed to gain insights into human responses to encounters with robots. The first step is receiving consent from the followed by a pre-experiment questionnaire that documents demographics, baseline stress information and big 5 personality traits. The nature video is repeated before and after the experimental session to establish a relaxed baseline physiological state. Experiments take place over 8 individual trials, which are defined by a subject seat arrangement, search or navigation behavior, and robots together or separate. After each of the 8 trials, participants take the between trial questionnaire, which is a 7 point Likert scale questionnaire designed to assess perceived safety during the preceding trial. After experiments and sensor removal, participants take part in a focus group.
Synchronized Data Acquisition
Data is synchronized from physiological sensors, environment microphones and the robots using the architecture shown. These raw xdf files are named using the following file naming convention:
Trials where participants sit together in the living room
[Session number]-[trial number]-social-[robots together or separate]-[search or navigation behavior].xdf
Trials where participants are isolated
[Session number]-[trial number]-isolated-[subject ID living room]-[subject ID small room]-[robots together or separate]-[search or navigation behavior].xdf
Qualitative Data
Qualitative data is obtained from focus groups with participants after experiments. Typically, two participants take part however two sessions only included one participant. The semi-structured focus group protocol can be found in the dataset. Two different research methods are applied to focus group transcripts. Note: the full transcripts are not provided for privacy concerns. First, we performed a qualitative content analysis using deductive codes found from an existing model of perceived safety during HRI (Akalin et al. 2023). The quantitative results from this analysis are reported as frequencies of references to the various factors of perceived safety. The codebook describing these factors is included in the dataset. Second, an inductive thematic analysis was performed on the data to identify emergent themes. The resulting themes and associated quotes taken from focus groups are also included.
Data Organization
Data is organized in separate folders, namely:
animation-videos
anonymized-session-videos
focus-group-results
questionnaire-responses
research-materials
signal-analysis-results
synchronized-xdf-data
Data Quality Statement
In limited trials, participant EDA or ECG signals or robot pose information may be missing due to connectivity issues during data acquisition. Additionally, the questionnaires for Participant ID0 and ID1 are incomplete due to an error in the implementation of the Qualtrics survey instrument used.</p