cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1960046
title: Throughfall-Reduction Drying Effects on Gravimetric Soil Moisture at Two Depths in Four Lowland Panamanian Forests from 2015-2022

description: Objectives: Climatic drying is predicted for many tropical forests, yet effects on soil properties across moisture and soil gradients within tropical forests remain poorly characterized, hampering predictions of forest-climate feedbacks. We hypothesized that drying would suppress soil CO2 fluxes (i.e., respiration) in already-drier tropical forests by further reductions in soil moisture, but increases CO2 fluxes in wetter tropical forests by alleviating anaerobiosis and soil saturation. We measured soil CO2 fluxes, soil moisture, soil temperature, and forest floor biomass during wet-dry cycles (2015 – 2022) in four Panamanian forests that vary in rainfall and soil fertility. We also surveyed all tree species and identified to species in 2018 and 2019.Results: We found that soil moisture peaked in the wet season and declined in the dry season. Measured soil CO2 fluxes declined in the dry season and peaked in the early wet season ahead of peak soil moisture, resulting in a lower soil moisture optimum for respiration than previously modeled. Chronic throughfall exclusion also suppressed soil moisture across the four forests to 20cm depths, and also initially suppressed soil CO2 fluxes across forests. There was sustained suppression of soil CO2 fluxes after four years in the wettest forest only (-28 ± 4% during the dry season), but elevated soil CO2 fluxes in a fertile forest after four years (+75 ± 28% during the late wet season). The unexpected negative drying effect in the wettest, most infertile forest could have resulted from reduced vertical flushing of nutrients into soils, as the drying effect increased with time. Including hydro-nutrient interactions in ecosystem models could improve predictions of tropical forest-climate feedbacks (results presented in Cusack et al. 2023). Datasets included: Datasets included here include .csv and .xls files for gravimetric soil moisture (weight/weight). Soil moisture was collected on a quarterly basis from 0-10 cm and 10-20 cm depths using hand-held constant-volume soil corers. Data are on ~3 month timescales from 2015-2022 with some gaps. There is also a .kml file that includes coordinates for all 32 plots included in the study of four forests (n = 4 throughfall reduction and n = 4 control plots per site). No special software is needed to open these files.
DOI: 10.15485/1960047
title: Throughfall-Reduction Drying Effects on Soil Moisture and Soil Temperature at 30-Minute Intervals Four Lowland Panamanian Forests

description: Objectives: Climatic drying is predicted for many tropical forests, yet effects on soil properties across moisture and soil gradients within tropical forests remain poorly characterized, hampering predictions of forest-climate feedbacks. We hypothesized that drying would suppress soil CO2 fluxes (i.e., respiration) in already-drier tropical forests by further reductions in soil moisture, but increases CO2 fluxes in wetter tropical forests by alleviating anaerobiosis and soil saturation. We measured soil CO2 fluxes, soil moisture, soil temperature, and forest floor biomass during wet-dry cycles (2015 – 2022) in four Panamanian forests that vary in rainfall and soil fertility. We also surveyed all tree species and identified to species in 2018 and 2019.Results: We found that soil moisture peaked in the wet season and declined in the dry season. Measured soil CO2 fluxes declined in the dry season and peaked in the early wet season ahead of peak soil moisture, resulting in a lower soil moisture optimum for respiration than previously modeled. Chronic throughfall exclusion also suppressed soil moisture across the four forests, and also initially suppressed soil CO2 fluxes across forests. There was sustained suppression of soil CO2 fluxes after four years in the wettest forest only (-28 ± 4% during the dry season), but elevated soil CO2 fluxes in a fertile forest after four years (+75 ± 28% during the late wet season). The unexpected negative drying effect in the wettest, most infertile forest could have resulted from reduced vertical flushing of nutrients into soils, as the drying effect increased with time. Including hydro-nutrient interactions in ecosystem models could improve predictions of tropical forest-climate feedbacks (Cusack et al. 2023). Datasets included: Datasets here include .csv and .xls files for volumetric soil moisture (volume/volume) and soil temperature (°C). Data were taken at 30-minute intervals at 5cm and 20cm depths using permanent probes and data loggers (see methods). Data presented are from 2018-2019. There is also a .kml file that includes coordinates for all 32 plots included in the study of four forests (n = 4 throughfall reduction and n = 4 control plots per site). No special software is needed to open these files.
DOI: 10.5439/1971597
title: WRF East River simulation Oct 2021 - Dec 2022

description: These are the Weather Research and Forecasting (WRF) regional climate model simulations for supporting the analysis of temperature, precipitation, and other hydroclimate variables and evaluating SAIL data. The WRF model has three nested domains centered at the SAIL location (East River, Colorado) for the SAIL period from Oct 01, 2021 to Dec 31, 2022. We used the BSU subgrid-scale physics schemes, CFSR meteorological forcing datasets, and the topographic shading radiation schemes in our WRF simulation. Detailed information on the model configuration can be found at https://doi.org/10.5194/egusphere-2022-437
DOI: 10.15121/1972213
title: Closed Loop Geothermal Working Group: GeoCLUSTER App, Subsurface Simulation Results, and Publications

description: To better understand the heat production, electricity generation performance, and economic viability of closed-loop geothermal systems in hot-dry rock, the Closed-Loop Geothermal Working Group -- a consortium of several national labs and academic institutions has tabulated time-dependent numerical solutions and levelized cost results of two popular closed-loop heat exchanger designs (u-tube and co-axial). The heat exchanger designs were evaluated for two working fluids (water and supercritical CO2) while varying seven continuous independent parameters of interest (mass flow rate, vertical depth, horizontal extent, borehole diameter, formation gradient, formation conductivity, and injection temperature). The corresponding numerical solutions (approximately 1.2 million per heat exchanger design) are stored as multi-dimensional HDF5 datasets and can be queried at off-grid points using multi-dimensional linear interpolation. A Python script was developed to query this database and estimate time-dependent electricity generation using an organic Rankine cycle (for water) or direct turbine expansion cycle (for CO2) and perform a cost assessment. This document aims to give an overview of the HDF5 database file and highlights how to read, visualize, and query quantities of interest (e.g., levelized cost of electricity, levelized cost of heat) using the accompanying Python scripts. Details regarding the capital, operation, and maintenance and levelized cost calculation using the techno-economic analysis script are provided. This data submission will contain results from the Closed Loop Geothermal Working Group study that are within the public domain, including publications, simulation results, databases, and computer codes. GeoCLUSTER is a Python-based web application created using Dash, an open-source framework built on top of Flask that streamlines the building of data dashboards. GeoCLUSTER provides users with a collection of interactive methods for streamlining the exploration and visualization of an HDF5 dataset. The GeoCluster app and database are contained in the compressed file geocluster_vx.zip, where the "x" refers to the version number. For example, geocluster_v1.zip is Version 1 of the app. This zip file also contains installation instructions. **To use the GeoCLUSTER app in the cloud, click the link to "GeoCLUSTER on AWS" in the Resources section below. To use the GeoCLUSTER app locally, download the geocluster_vx.zip to your computer and uncompress this file. When uncompressed this file comprises two directories and the geocluster_installation.pdf file. The geo-data app contains the HDF5 database in condensed format, and the GeoCLUSTER directory contains the GeoCLUSTER app in the subdirectory dash_app, as app.py. The geocluster_installation.pdf file provides instructions on installing Python, the needed Python modules, and then executing the app.
DOI: 10.18141/1972230
title: CSEM, Bottomhole Pressure, Salinity, and Flow-Rate Data Collected in Sep. 2020 for Proj. DE-FE0031785

description: This dataset consists of two directories: first directory named as EM for the controlled source electromagnetic (CSEM) survey data that are zipped per day for September 22, 23, 24, 25, and 27, 2020, and second directory named as "Bottomhole Pressure, Salinity, and Flow-Rate" for the simultaneous collection of bottomhole pressure and salinity and pump flow rate during the CSEM surveys.
DOI: 10.18141/1972231
title: CSEM, BHP, Salinity, Flow-Rate, Fiber, and Tilt Data Collected in Jan. 2022 for Proj. DE-FE0031785

description: This dataset consists of four directories: first directory named as EM for the controlled source electromagnetic (CSEM) survey data that are zipped per day for January 18-21, 22, 23, 24, 25, 26, 27, 28, 29, 30, and 31, 2022; second directory named as "Fiber" for the fiber optic slow-strain and microseismic data that are zipped per well; the third file that contains bottomhole pressure (BHP) and salinity and pump flow rate data during the CSEM surveys; and the fourth file that contained tiltmeter data.
DOI: 10.21947/1972266
title: AWAKEN - Site D - IWES Profiling Lidar / Raw Data

description: Fraunhofer IWES's profiling lidar (Windcube v2.0) raw data at AWAKEN site D. Two data types are included here: 1) STA files, which have 10-minute average data, and 2) RTD files, which have real time data, at about 1 Hz resolution.
DOI: 10.21947/1972267
title: FOCAL Campaign IV: Integrated System Control: Turbine + Hull

description: Campaign IV of the Floating Offshore-wind Controls Advanced Laboratory Experimental Program (FOCAL) aimed to generate a dataset enabling the validation of a floating offshore wind turbine with turbine and hull controls. The turbine considered in this campaign is the scaled IEA 15MW Reference Wind Turbine similar to the setup considered in FOCAL Campaign I. This turbine is mounted on the VolturnUS platform with integrated hull controls similar to the hull considered in FOCAL Campaign II/III. This system is deployed for a fully-coupled wind and wave testing campaign at the University of Maine's Harold Alfond Wind and Wave (W2) facility. System dynamics and turbine characteristics are measured to determine global performance and assess the effect of the control strategies employed. NREL's reference open-source controller (ROSCO) is used for active blade pitch control and hull structural control is examined through the use of tuned mass dampers (TMD's) tuned to the systems pitch and tower-bending natural frequency. The naming convention of the load cases considered are described in the data details section. Detailed properties on the modeled system are found in the following reference: Lenfest E., Floating Offshore-wind Controls Advanced Laboratory (FOCAL) Experimental Program - Campaign IV: 1:70 Model-scale Testing of the IEA-Wind 15MW Reference Turbine and the VolturnUS-S Platform. UMaine ASCC Report Number 23-57-1183.
DOI: 10.5439/1972269
title: mascparticlesavg (c1)

description: mascparticlesavg
DOI: 10.5439/1972270
title: mascparticles (c1)

description: mascparticles
DOI: 10.5439/1972271
title: co2flxwind60m (a1)

description: The Southern Great Plains (SGP) carbon dioxide flux (CO2FLUX) measurement systems provide half-hour average fluxes of CO2, H2O (latent heat), sensible heat, and momentum. The systems use the eddy covariance technique, which computes the fluxes from the vertical wind speed in combination with the concentrations of CO2 and H2O, temperature, and horizontal wind speed, respectively. A 3D sonic anemometer obtains the wind components and the temperature, while an infrared gas analyzer measures CO2 and H2O. A sub-system also measures half-hour averages of radiation, meteorological, and soil measurements.
DOI: 10.5439/1972272
title: cldtype (s1)

description: cldtype
DOI: 10.5439/1972278
title: hsrl (01)

description: High-spectral-resolution lidar (HSRL) systems collect data about clouds and aerosols. These systems provide vertical profiles of optical depth, backscatter cross-section, depolarization, and backscatter phase function. All HSRL measurements are absolutely calibrated by reference to molecular scattering, which is measured at each point in the lidar profile. Like the Raman lidar, but unlike simple backscatter lidars such as the micropulse lidar, the HSRL can measure backscatter cross-sections and optical depths without prior assumptions about the scattering properties of the atmosphere. The depolarization observations also allow robust discrimination between ice and water clouds. In addition, rigorous error estimates can be computed for all measurements. A very narrow, angular field of view reduces multiple scattering contributions. The small field of view, coupled with a narrow optical bandwidth, nearly eliminates noise due to scattered sunlight. ARM operates two HSRL systems, one at the Barrow, North Slope of Alaska (NSA) site and the other in the second ARM Mobile Facility (AMF2), which is deployed at various locations on field campaigns.
DOI: 10.6084/m9.figshare.22767083
title: Dataset 2023-5

description: This dataset contains all experimental data used in this work, and the source code to produce the numerical results.
DOI: 10.6084/m9.figshare.22767083.v1
title: Dataset 2023-5

description: This dataset contains all experimental data used in this work, and the source code to produce the numerical results.
DOI: 10.3886/icpsr37422.v1
title: Survey of Consumer Attitudes and Behavior, May 2014
title: Version 1

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2014 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include ownership, lease, and use of automobiles, respondents' use of personal computers at home and in the office, and respondents' familiarity with and use of the Internet. Demographic information includes ethnic origin, sex, age, marital status, and education.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: This survey is a rotating panel design. For each monthly sample, an independent cross-section sample of households is drawn. The respondents chosen in this drawing are then reinterviewed six months later. The result is a rotating panel design, and the total sample for any one survey is normally made up of 60 percent new respondents with 40 percent being interviewed for the second time.
description: The data are not weighted, however, this collection contains four weight variables; WT (household head weight), WT_HH (household weight), WT_ADHD (adult head weight), and WT_AD (adult weight) that must be used in any analysis. For more information on weights and sampling, please refer to the documentation and/or visit the Surveys of Consumers Website.
description: National sample of dwelling units selected by area probability sampling.
description: Datasets: DS0: Study-Level Files DS1: Public-Use Data DS2: Restricted-Use Data
description: Persons aged 18 years or older living in households with telephones within the coterminous United States. Smallest Geographic Unit: FIPS Code
description: computer-assisted telephone interview (CATI)Information on the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations and how they were created can be found in the P.I. Codebook.Additional information on the Surveys of Consumers can be found by visiting the Surveys of Consumers Website.
DOI: 10.5281/zenodo.7693991
title: mTOR/ULK1 signaling axis mediated ultrashort wave regulation ofautophagy to alleviate diabetic kidney disease

description: Supplementary table 1. Normality and uniformity test results of data in Figure1. Supplementary table 2. Normality and uniformity test results of data in Figure2. Supplementary table 3. Normality and uniformity test results of data in Figure3. Supplementary table 4. Normality and uniformity test results of data in Figure4 Supplementary table 5. Normality and uniformity test results of data in Figure5. Supplementary table 6. Normality and uniformity test results of data in Figure6.
DOI: 10.5281/zenodo.7693990
title: mTOR/ULK1 signaling axis mediated ultrashort wave regulation ofautophagy to alleviate diabetic kidney disease

description: Supplementary table 1. Normality and uniformity test results of data in Figure1. Supplementary table 2. Normality and uniformity test results of data in Figure2. Supplementary table 3. Normality and uniformity test results of data in Figure3. Supplementary table 4. Normality and uniformity test results of data in Figure4 Supplementary table 5. Normality and uniformity test results of data in Figure5. Supplementary table 6. Normality and uniformity test results of data in Figure6.
DOI: 10.3886/icpsr07544.v3
title: Survey of Consumer Attitudes and Behavior, Spring 1976
title: Version 3

description: This survey was undertaken to assess consumer sentiment and buying plans, as well as to provide information on retirement plans. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, price changes, and the national business situation. A series of questions addressed respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and respondents' appraisals of present market conditions for purchasing houses and other durables. Respondents were asked to give assessments of their financial status relative to the previous year, as well as their opinions of political leaders such as George Wallace, Gerald Ford, Jimmy Carter, Ronald Reagan, and Ted Kennedy, the freedom to make public speeches against democracy, the most important problems facing the country, racial integration, fuel cost increase, and their satisfaction with their income, health, standard of living, marriage, and their life as a whole. The survey also elicited respondents' feelings about their choice of presidential candidate in 1972, their political party identification, ideological leanings, their income tax filing and refunds, their anticipated age for retiring, retirement income and residence, and their car ownership and plans to buy a new one. Demographic variables include age, sex, race, marital status, education, occupation, employment status, and family income.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: One respondent from each family unit in the dwellings sampled, usually the head of the family, or the wife. The dwelling units were selected by area probability sampling from 74 primary sampling units. For each dwelling unit in the sample, an interview was sought with a respondent from the primary family and from each secondary family (if any). The head of the family (usually the husband) was the preferred respondent, but the wife could substitute if the head was not readily available.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, Spring 1976
description: All families living in continental United States dwelling units, exclusive of those on military reservations.
description: face-to-face interview; telephone interviewFor additional information on the Survey of Consumer Finances Study, please visit the Survey of Consumer Website .
DOI: 10.3886/icpsr38587.v1
title: National Study of Physician Organizations (NSPO3), United States, 2012-2013
title: Version 1

description: The National Study of Physician Organizations was designed to improve understanding of evidence-based care management processes (CMPs) as they relate to physician organizations (POs), that is, independent practice associations (IPAs) and medical groups. This survey, the third NSPO survey of IPAs and medical groups (NSPO2), examined over 2000 physician organizations of all sizes. As in prior surveys, NSPO3 collected demographic information about the following practices and assesses: (1) use of clinical information technology; (2) use of care management processes to improve the quality of care for four chronic conditions (asthma, congestive heart failure, depression, and diabetes); (3) provision of clinical preventive services and health promotion; (4) exposure to external performance incentives such as pay for performance and public reporting; (5) payer mix, forms of compensation from health plans, and forms of compensation paid by the practice to its physicians; (6) organizational culture. In addition, NSPO3 asked about participation or intended participation in Accountable Care Organizations (ACOs).
description: To provide healthcare organizations and researchers with important data on the management of four major chronic illnesses: asthma, coronary heart disease, depression, and diabetes.
description: NSPO3 is a cross-sectional national survey of U.S. medical groups of all sizes.
description: Variables include: makeup of specialists at the organization, use of electronic medical records, patient base race/ethnicity makeup, management practices for patients, communication with health plan providers, annual revenues, and organization finances.
description: Two types of weights are provided, sampling ("FWT") and longitudinal ("LWT") weights. The sampling weights should be applied for cross-sectional NSPO3 analysis. Longitudinal weights should be applied if conducting over-time analysis with NSPO2 and/or NSMPP respondents.
description: The practices were sampled from the IMS Healthcare Organization Services database as of May, 2011. Organizations with a significant proportion of primary care providers (family physicians, general internists, and general practitioners), cardiologists, endocrinologists and/or pulmonologists were eligible for this study. Practices with 20 or fewer physicians were eligible if at least 40% were in the focal specialties, and practices with more than 20 physicians were eligible if at least 30% were in the focal specialties. Academic faculty practices and practices associated with federal hospitals were excluded.
description: Datasets: DS1: ICPSR Public-Use Dataset
description: Physician organizations in the United States. Smallest Geographic Unit: United States
description: telephone interview