cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7294/14504913.v2
title: The environmental footprint of data centers in the United States

description: Much of the world’s data are stored, managed, and distributed by data centers.  Data centers re-quire a tremendous amount of energy to operate, accounting for around 1.8% of electricity use in the United States.  Large amounts of water are also required to operate data centers, both directly for liquid cooling and indirectly to produce electricity.  For the first time, we calculate spatially-detailed  carbon  and  water  footprints  of  data  centers  operating  within  the  United  States,  which is home to around one-quarter of all data center servers globally.   Our bottom-up approach reveals one-fifth of data center servers direct water footprint comes from moderately to highly water stressed watersheds, while nearly half of servers are fully or partially powered by power plants located within water stressed regions. Approximately 0.5% of total US greenhouse gas emissions are attributed to data centers.  We investigate tradeoffs and synergies between data center’s water and energy utilization by strategically locating data centers in areas of the country that will minimize one or more environmental footprints.  Our study quantifies the environmental implications behind our data creation and storage and shows a path to decrease the environmental footprint of our increasing digital footprint..
DOI: 10.7294/w4-mgpr-cz59
title: Improving Soil Moisture Assessment of Turfgrass Systems Utilizing Field Radiometry

description: Managed turfgrasses provide several benefits including filtering pollutants, cooling their surroundings, generating oxygen, preventing erosion, serving as recreational surfaces, and increasing landscape aesthetics. Intensively managed turfgrass systems, such as on golf courses and sports fields, require more inputs to maintain acceptable conditions. Freshwater use is often excessive on intensively managed turfgrasses to maintain proper plant growth. Drought conditions often limit water availability, especially in regions with limited rainfall. Turf managers tend to over-apply water across large acreage when few localized areas begin to show symptoms of drought. Additionally, turf managers sometimes wrongly identify stressed areas from other factors as ones being moisture deprived. Advancements such as the use of soil moisture meters have simplified irrigation decisions as an aid to visual inspections for drought stress. While this method enhances detection accuracy, it still provides no solution to increase efficiency. Expanding our current knowledge of turfgrass canopy light reflectance for rapid moisture stress identification can potentially save both time and water resources. The objective of this research was to enhance our ability to identify and predict moisture stress of creeping bentgrass (CBG) and hybrid bermudagrass (HBG) canopies integrated into varying soil textures (USGA 90:10 sand (‘S’), sand loam (‘SL’) and Clay (‘C’)) using light reflectance measurements. Dry-down cycles were conducted under greenhouses conditions collecting soil moisture and light reflectance data every hour from 7 am to 7 pm after saturating and withholding water from established plugs. Moisture stress was most accurately estimated over time using two vegetation indices, the water band index (WBI = R900/R970) and green-to-red ratio index (GRI = R550/R670), with approximately ninety percent accuracy to visible wilt stress. The WBI and GRI predicted moisture stress of CBG in all soil types and HBG in ‘SL’ and ‘C’  approximately fourteen hours before the grasses reached fifty percent wilt. While light reflectance varies on exposed soils, our research shows that underlying soils do not interfere with measurements across typical turfgrass stands. This research provides a foundation for future research implementing rapid, aerial measurements of moisture-stressed turfgrasses on a broad application of CBG and HBG on constructed or native soils.
DOI: 10.7294/w4639mwr
title: 3D trajectories and corresponding curvatures of 30 bat pairs

description: Social animals exhibit collective behavior wherein they negotiate to reach an agreement, for example to coordinate motion. Bats are unique that they use active sensory echolocation or “bio-sonar”, wherein they emit ultrasonic waves and sense echoes to navigate surroundings. In real bat swarms, understanding navigational leadership roles in light of their unique sensing capabilities is a challenge, and quantitative assessment of leadership has not been explored rigorously. Given the broadcast nature of bio-sonar, the active sensing of one individual can directly influence the motion of others, making the directionality of leadership unclear. Here, we seek to understand navigational leadership from direct observation of other bats in flight and formally measure the strength of influence of one individual on another by quantifying directional coupling using tools from dynamical systems and information theory. Pairs of bats were continuously tracked in a mountain cave in Shandong Province, China, from which three-dimensional path points were extracted and converted to one-dimensional curvature time series. Results demonstrate the evidence of information exchange between flying bat pairs. We find the identified coupling-relationships between bats are sensitive to the selected mathematical tools, their parameters and the bat behavior.
DOI: 10.5281/zenodo.6463860
title: Sagittal Balance in Children: Reference Values of the Sacral Slope for the Roussouly Classification and of the Pelvic Incidence for a New, Age-Specific Classification

description: Raw data of the paper entitled "Sagittal Balance in Children: Reference Values of the Sacral Slope for the Roussouly Classification and of the Pelvic Incidence for a New, Age-Specific Classification", published on Applied Sciences
DOI: 10.5281/zenodo.6463859
title: Sagittal Balance in Children: Reference Values of the Sacral Slope for the Roussouly Classification and of the Pelvic Incidence for a New, Age-Specific Classification

description: Raw data of the paper entitled "Sagittal Balance in Children: Reference Values of the Sacral Slope for the Roussouly Classification and of the Pelvic Incidence for a New, Age-Specific Classification", published on Applied Sciences
DOI: 10.6073/pasta/38f75cb0611aa740d3b2717c4c06cc75
title: NOAA Daily Surface Meteorologic Data at NCDC Flamingo Ranger Station (ID-083020) (FCE), South Florida, USA, January 1951 - ongoing

description: The National Climatic Data Center's (NOAA) daily mean, maximum, and minimum air temperatures and daily precipitation collected at Flamingo Station (Coop ID- 083020).
DOI: 10.13012/b2idb-4996748_v1
title: Synthetic datasets for SimiC

description: This is the 5 states 5000 cells synthetic expression file we used for validation of SimiC, a single cell gene regulatory network inference method with similarity constraints. Ground truth GRNs are stored in Numpy array format, and expression profiles of all states combined are stored in Pandas DataFrame in format of Pickle files.
DOI: 10.5281/zenodo.6459378
title: KM1513 Diel Cruise Prochlorococcus Ecotype qPCR Results

description: Prochlorococcus ecotype abundance quantified using qPCR methods developed by the Chisholm lab. Samples were taken at a variety of depths on the KM1513 cruise also known as the Diel cruise in the North Pacific around Station ALOHA. Biological triplicate samples were collected and technical qPCR replicates were performed on biological duplicate filters (that is, one filter remains unextracted) . Failed replicates or those with high disconcordance with other replicates were removed.
DOI: 10.5281/zenodo.6459377
title: KM1513 Diel Cruise Prochlorococcus Ecotype qPCR Results

description: Prochlorococcus ecotype abundance quantified using qPCR methods developed by the Chisholm lab. Samples were taken at a variety of depths on the KM1513 cruise also known as the Diel cruise in the North Pacific around Station ALOHA. Biological triplicate samples were collected and technical qPCR replicates were performed on biological duplicate filters (that is, one filter remains unextracted) . Failed replicates or those with high disconcordance with other replicates were removed.
DOI: 10.25612/837.rp191xe72qmr
title: Home Loan Denials - Houston Area

description: Home Loan Denials for the Houston Area aggregate data for 2018-2020 by race and ethnicity.
DOI: 10.13012/b2idb-3975180_v1
title: ClonalKinetic Data and Intermediate Results of SimiC

description: This dataset contains the ClonalKinetic dataset that was used in SimiC and its intermediate results for comparison. The Detail description can be found in the text file 'clonalKinetics_Example_data_description.txt' and 'ClonalKinetics_filtered.DF_data_description.txt'. The required input data for SimiC contains: 1. ClonalKinetics_filtered.clustAssign.txt =&gt; cluster assignment for each cell. 2. ClonalKinetics_filtered.DF.pickle =&gt; filtered scRNAseq matrix. 3. ClonalKinetics_filtered.TFs.pickle =&gt; list of driver genes. The results after running SimiC contains: 1. ClonalKinetics_filtered_L10.01_L20.01_Ws.pickle =&gt; inferred GRNs for each cluster 2. ClonalKinetics_filtered_L10.01_L20.01_AUCs.pickle =&gt; regulon activity scores for each cell and each driver gene. <b>NOTE:</b> “ClonalKinetics_filtered.rds” file which is mentioned in “ClonalKinetics_filtered.DF_data_description.txt” is an intermediate file and the authors have put all the processed in the pickle/txt file as described in the filtered data text.
DOI: 10.6084/m9.figshare.19606192
title: Table S3 for Aqil et al. 2022

description: This is a compilation of significant (p&lt;10-8) GWAS hits - compiled from data available through Neale Laboratory (http://www.nealelab.is/uk-biobank) - We provide this list for ease of use as the larger dataset is divided into thousands of traits each presented in a different file. Please cite both Neale Lab ( http://www.nealelab.is/uk-biobank/) and our paper (currently under review in e-Life) if you use our compiled dataset.
DOI: 10.6084/m9.figshare.3761562.v2189
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.14725074
title: Guenole, N., Brown, A., Lim, V. (in press).Can faking be measured with dedicated validity scales? Within Subject Trifactor Mixture Modeling applied to BIDR responses. Assessment.

description: A sample of 516 participants responded to the Balanced Inventory of Desirable Responding (BIDR) under answer honest and instructed faking conditions in a within-subjects design. We analyse these data with a novel application of trifactor modeling that models the two substantive factors measured by the BIDR – Self-Deceptive Enhancement (SDE) and Impression Management (IM), condition-related common factors and item specific factors. The model permits examination of invariance and change within subjects across conditions. Participants were able to significantly increase their SDE and IM in the instructed faking condition relative to the honest response condition. Mixture modeling confirmed the existence of a theoretical two-class solution comprised of approximately two thirds of ‘compliers’ and one third of ‘non-compliers’. Factor scores had good determinacy and correlations with observed scores were near unity for continuous scoring, supporting observed score interpretations of BIDR scales in high stakes settings. Correlations were somewhat lower for the dichotomous scoring protocol. Overall, results show that the BIDR scales function similarly as measures of socially desirable functioning in low and high stakes conditions. We discuss conditions under which we expect these results will and will not generalise to other validity scales.
DOI: 10.6084/m9.figshare.14725074.v1
title: Guenole, N., Brown, A., Lim, V. (in press).Can faking be measured with dedicated validity scales? Within Subject Trifactor Mixture Modeling applied to BIDR responses. Assessment.

description: A sample of 516 participants responded to the Balanced Inventory of Desirable Responding (BIDR) under answer honest and instructed faking conditions in a within-subjects design. We analyse these data with a novel application of trifactor modeling that models the two substantive factors measured by the BIDR – Self-Deceptive Enhancement (SDE) and Impression Management (IM), condition-related common factors and item specific factors. The model permits examination of invariance and change within subjects across conditions. Participants were able to significantly increase their SDE and IM in the instructed faking condition relative to the honest response condition. Mixture modeling confirmed the existence of a theoretical two-class solution comprised of approximately two thirds of ‘compliers’ and one third of ‘non-compliers’. Factor scores had good determinacy and correlations with observed scores were near unity for continuous scoring, supporting observed score interpretations of BIDR scales in high stakes settings. Correlations were somewhat lower for the dichotomous scoring protocol. Overall, results show that the BIDR scales function similarly as measures of socially desirable functioning in low and high stakes conditions. We discuss conditions under which we expect these results will and will not generalise to other validity scales.
DOI: 10.5281/zenodo.6463941
title: Dataset for Brittle Creep and Brittle Failure of Rocks: a reformulation of the wing crack model

description: Dataset for publication in JGR:Solid Earth by Bernabe & Pec. The dataset contains the following files: brittleCreepScript.nb - Commented Mathematica Notebook script containing the steps needed to plot Figure 8 TertiaryCreep.mat - mechanical data from tertiary creep of Etna basalt (Mansbach 2022) and Iceland basalt (Xing et al. 2022) experiments. First column - time (sampled at 1S/s), second column - axial strain, third column - differential stress (MPa). References:<br> Xing, T., H.O. Ghaffari, U. Mok and M. Pec (2022), Creep of CarbFix basalt: influence of rock-fluid interaction, Solid Earth, 13, 137–160, https://doi.org/10.5194/se-13-137-2022 Mansbach, Elias. 2022. “Effect of Carbon Sequestration and Reservoir Conditions on Brittle Creep in Etna Basalt.” Thesis Commons. Doi: 10.31237/osf.io/64gxc<br>
DOI: 10.15785/sbgrid/903
title: X-Ray Diffraction data from Bacteriophytochrome Response Regulator RtBrr, source of 5IC5 structure

description: 720 frames were collected at 1 degree/frame but only 360 were used. Contains both Zn and Cacodylate molecules (As) and has an anomalous signal.
description: Keep Friedel mates separate since there is an anomalous signal. The wavelength is at 0.97910 so both Zn and As have a signal. Contains a unique protein Metal Organic Framework structure on the C-terminal His tag.
DOI: 10.3886/e167421
title: Integrating Social and Emotional Learning: Creating Space for Afterschool Educator Expertise

description: A growing movement suggests that social and emotional learning (SEL) should be integrated into educational experiences in and outside of schools. Afterschool programs can be particularly well-suited for SEL, and afterschool educators can play an important role in skill development. We interviewed 23 experienced afterschool educators in community-based programs to understand how staff encourage SEL and how program directors support staff to do so. Findings show that afterschool educators describe integrating SEL into their daily interactions with children by creating and catching teachable moments. Program directors served either as compliance enforcers or partners that supported staff’s autonomy to encourage SEL despite top-down mandates. Findings suggest that educators can develop substantial expertise integrating SEL into their professional work. Program leaders, by recognizing and empowering such expertise, can support implementation and innovation SEL practices. Allocating resources towards intentional integration of SEL is an important next step for this work.
description: face-to-face interview;
DOI: 10.3886/e167421v1
title: Integrating Social and Emotional Learning: Creating Space for Afterschool Educator Expertise

description: A growing movement suggests that social and emotional learning (SEL) should be integrated into educational experiences in and outside of schools. Afterschool programs can be particularly well-suited for SEL, and afterschool educators can play an important role in skill development. We interviewed 23 experienced afterschool educators in community-based programs to understand how staff encourage SEL and how program directors support staff to do so. Findings show that afterschool educators describe integrating SEL into their daily interactions with children by creating and catching teachable moments. Program directors served either as compliance enforcers or partners that supported staff’s autonomy to encourage SEL despite top-down mandates. Findings suggest that educators can develop substantial expertise integrating SEL into their professional work. Program leaders, by recognizing and empowering such expertise, can support implementation and innovation SEL practices. Allocating resources towards intentional integration of SEL is an important next step for this work.
description: face-to-face interview;
DOI: 10.6084/m9.figshare.19397182.v1
title: On modelling of resiliency events using building performance simulation: a multi-objective approach

description: Climate change brings several challenges to BPS practitioners beyond GHG emission mitigation. Adaptation to grid-outage events, caused by both acute and chronic stresses, requires consideration of how building services can be provided to occupants in a time of need. At the moment, we lack both the tools and processes to quantify key metrics such as thermal resiliency in tandem with annual performance indicators. This paper proposes a multi-objective approach using thermal resiliency, annual net-energy, and life-cycle cost to better quantify building performance during grid-outages. The approach can handle a variety of events, using shortened simulation periods, and consider cost-implications of outages by applying the value of the lost load to annual operational costs. The methodology is demonstrated using a case-study and a historical grid-outage from an ice-storm event. Resiliency indicators are improved by two times and the payback of upgrade packages is decreased to 14 years for a single outage event.
DOI: 10.6084/m9.figshare.19397182
title: On modelling of resiliency events using building performance simulation: a multi-objective approach

description: Climate change brings several challenges to BPS practitioners beyond GHG emission mitigation. Adaptation to grid-outage events, caused by both acute and chronic stresses, requires consideration of how building services can be provided to occupants in a time of need. At the moment, we lack both the tools and processes to quantify key metrics such as thermal resiliency in tandem with annual performance indicators. This paper proposes a multi-objective approach using thermal resiliency, annual net-energy, and life-cycle cost to better quantify building performance during grid-outages. The approach can handle a variety of events, using shortened simulation periods, and consider cost-implications of outages by applying the value of the lost load to annual operational costs. The methodology is demonstrated using a case-study and a historical grid-outage from an ice-storm event. Resiliency indicators are improved by two times and the payback of upgrade packages is decreased to 14 years for a single outage event.
DOI: 10.18739/a2gq6r36c
title: Polar semidesert responses to long-term experimental warming and wetting, Thule, Northwest Greenland, 2018.

description: Dramatic increases in air temperature and precipitation are occurring in the High Arctic (70 °North), yet few studies have characterized the long-term responses of High Arctic ecosystems to the interactive effects of experimental warming and increased rain. Beginning in 2003, we applied a factorial summer warming and wetting experiment to a polar semidesert in northwest Greenland. Twenty-four 0.8 × 1 meter (m) experimental plots were established in three homogenous 70 m × 60 m areas. Plots were assigned to one of four different climate treatments: low-level warming (T1), high-level warming (T2), wetting (W), combined warming and wetting (T2W), and unmanipulated control (CTL). In summer 2018, we assessed several metrics of ecosystem structure and function, including plant cover, ecosystem carbon dioxide exchange, aboveground (leaf, stem) and belowground (litter, root, soil) carbon (C) and nitrogen (N) concentrations (%) and pools, as well as leaf and soil stable isotopes (δ13C and δ15N). Plant cover was assessed via the point-frame technique in 2003 and a digital "point-frame" in 2018. Ecosystem carbon dioxide exchange was assessed at 15-minute intervals with the chamber technique. To assess ecosystem structure we removed 20x20 centimeter turfs, dried them in the lab, and sorted and analyzed all components (i.e. stems, leaves, roots, soils) for C and N content. Leaf ecophysiology was assessed by clipping fully developed green leaves and analyzing their C, N, δ13C, and δ15N content.
DOI: 10.18739/a2bz61933
title: Camera Trap Photogrammetry Dataset, Fairbanks, Alaska, USA, Sept. 2021

description: The dataset and images provided here were used to evaluate a method of using pixel measurements in an image to estimate animal size or distance from the camera using a conceptual model in photogrammetry known as the “pinhole camera model". Our objectives were to 1) determine whether the pinhole camera model can produce reliable estimates of animal size or distance using different camera traps, models, and image settings under ideal conditions using stationary life-like animal targets and 2) evaluate performance of the pinhole camera model in a practical field setting using live captive reindeer. Images of captive reindeer were collected at the Large Animal Research Station at the University of Alaska Fairbanks in Alaska, United States of America, in 2021. We found this approach addressed limitations of current methods while remaining conceptually simple, easy to implement, and generalizable to different camera trap models and installations.
DOI: 10.5063/f1k64ght
title: Modeled sources and discharge of nitrogen pollution from agriculture and wastewater in the Mesoamerican Reef region over a 1 year period (2019)

description: This data accompanies the paper "Sources and discharge of nitrogen pollution from agriculture and wastewater in the Mesoamerican Reef region" (Berger et al. 2022). The data displays the modeled amount of N (Nitrogen) generated in each watershed, from four distinct sources: fertilizer use in crop production, run off from livestock production, wastewater generated by tourists (including cruise disembarking tourists), and wastewater generated by residents. The shapefile is structured with each row representing an individual watershed, with attributes that list the kg N from each of the four sources, as well as a column for total kg N generated in that watershed. The raster data displays the extent of N diffusion from each watershed into coastal waters, based on a model to distribute the values into coastal waters based on a cost-path surface until a minimum threshold (0.05% of global maximum) is reached . Values are in kg N .
DOI: 10.5281/zenodo.6463893
title: Processed data for MethylBoostER: an XGBoost model to classify kidney cancer subtypes

description: This is a repository containing processed data for MethylBoostER, an XGBoost model that classifies kidney cancer subtypes. The open-source code can be found here: https://github.com/ss-lab-cancerunit/MethylBoostER.