cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a29s1km87
title: RAIIZ-TREES2: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.18739/a2610vt4d
title: RAIIZ-TUNDRA1: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.25345/c55d8nq8c
title: MassIVE MSV000091929 - GNPS - Urine metabolomics storage study
title: Urine metabolomics storage study. Untargeted LC-MS/MS acquisition was performed on a Vanquish UHPLC system coupled to a Q-Exactive Hybrid Quadrupole-Orbitrap (Thermo Fisher Scientific, Bremen, Germany). Chromatographic separation was performed on a Kinetex 1.7 um 100 A pore size C18 reversed phase UHPLC column 50 x 2.1 mm (Phenomenex, Torrance, CA).
DOI: 10.18739/a22805102
title: RAIIZ-TREESOLD: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.18739/a2xg9fc5h
title: LPTEG-TUNDRA1: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.6084/m9.figshare.22814171
title: Municipios_fix figura.xls

description: Estimated prevalences for antibodies vs LvPR, Brucella melitensis and PTb in México.
DOI: 10.6084/m9.figshare.22814171.v1
title: Municipios_fix figura.xls

description: Estimated prevalences for antibodies vs LvPR, Brucella melitensis and PTb in México.
DOI: 10.18739/a2sq8qk0w
title: LPTEG-TUNDRA2: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.18739/a2nz80r6h
title: LPTEG-TREES1: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.18739/a2j960b6w
title: LPTEG-TREES2: Hydrometeorological, subsurface, and snow data in Western Siberia near Salekhard of Yamal-Nenets Autonomous District, Russia, 2018-2021

description: Three observational sites (ENGAYU, RAI-IZ, LPTEG) were established in 2018 on the eastern slope of the Polar Urals range near the city of Salekhard of Yamal-Nenets Autonomous District, Russia. Each site contained four to five plots in the vicinity of about 1000 meters across a defined vegetation gradient, from the areas with tall and dense vegetation cover (FOREST), to the areas of tall and sparse vegetation (TREES), and to the areas of short vegetation dominated by sedges, mosses and dwarf shrubs (TUNDRA). At each plot, meteorological towers were erected and instrumented with above and below ground measuring equipment. The data was collected continuously from 2018 to 2021 with 30 to 60 min time interval. The data underwent quality assurance and data management protocols and were organized into three datasets: (i) subsurface and above ground observations (precipitation, air temperature, relative humidity, wind speed, four-channel radiation fluxes, net radiation, albedo, soil heat flux), (ii) below ground observations (temperature and soil water content at five depths up to 100 cm; temperature in the upper organic layer), and (iii) snow depth measurements. The data collection was a part of the project sponsored by the Office of Polar Programs (OPP) of the National Science Foundation (NSF). A specific goal of the project was to explore ecohydrological changes associated with tree and shrub encroachment into tundra areas at the scales of in situ field monitoring programs and the regional scale of the Western Siberian Plain.
DOI: 10.3886/e191502
title: Question wording matters in measuring frequency of fear of crime: A survey experiment of the anchoring effect

description: We conducted a survey experiment to test the effect of question wording on reported frequency of fear of crime. Participants were randomly assigned to report the number of times they felt fearful of crime within either the past 12 months, a typical month, or a typical week. There was also a fourth condition that asked a forced-choice question with many response options. They also reported the intensity of their most recent instance. We used Qualtrics Panels to recruit an online sample (N = 561) of US adults nationwide. Responses were collected during January 2023. The only eligibility criteria for the survey were that participants must be at least 18 years old and must speak fluent English. A correct answer to the attention check (“Select ‘untrue for me’ for this question”) was required; participants who did not pass this attention check were removed by Qualtrics before we received the data.
description: Internet sample of US adults through Qualtrics Panels
description: US adults who speak fluent English.
DOI: 10.3886/e191502v1
title: Question wording matters in measuring frequency of fear of crime: A survey experiment of the anchoring effect

description: We conducted a survey experiment to test the effect of question wording on reported frequency of fear of crime. Participants were randomly assigned to report the number of times they felt fearful of crime within either the past 12 months, a typical month, or a typical week. There was also a fourth condition that asked a forced-choice question with many response options. They also reported the intensity of their most recent instance. We used Qualtrics Panels to recruit an online sample (N = 561) of US adults nationwide. Responses were collected during January 2023. The only eligibility criteria for the survey were that participants must be at least 18 years old and must speak fluent English. A correct answer to the attention check (“Select ‘untrue for me’ for this question”) was required; participants who did not pass this attention check were removed by Qualtrics before we received the data.
description: Internet sample of US adults through Qualtrics Panels
description: US adults who speak fluent English.
DOI: 10.25934/pr00007736.1
title: Available IPD datapackage for study 'A Phase 3 Randomized, Open-label, Multicenter Study Comparing Isatuximab (SAR650984) in Combination With Pomalidomide and Low-Dose Dexamethasone Versus Pomalidomide and Low-Dose Dexamethasone in Patients With Refractory or Relapsed and Refractory Multiple Myeloma'

description: Primary Objective: To demonstrate the benefit of isatuximab in combination with pomalidomide and low-dose dexamethasone in the prolongation of Progression Free Survival (PFS) as compared to pomalidomide and low-dose dexamethasone in participants with refractory or relapsed and refractory multiple myeloma (MM). Secondary Objectives:   -  To evaluate the Overall Response Rate (ORR) as per International Myeloma Working Group (IMWG) criteria in each arm.   -  To compare the Overall Survival (OS) between the two arms.   -  To evaluate the Time To Progression (TTP) in each arm.   -  To evaluate the PFS in high risk cytogenetic population in each arm.   -  To evaluate the Duration of Response (DOR) in each arm.   -  To evaluate the safety in both treatment arms.   -  To determine the Pharmacokinetic profile of isatuximab in combination with pomalidomide.   -  To evaluate the immunogenicity of isatuximab.   -  To assess disease-specific and generic health-related quality of life (HRQL), disease and treatment-related symptoms, health state utility, and health status.
DOI: 10.25934/pr00008442
title: Better outcomes among multiple myeloma patients who are taking beta-blockers while receiving chemotherapy

description: Background: The anti-cancer effect of beta blockers (BB), a class of medications predominately used to treat a range of cardiac issues, has been reported in a variety type of solid tumors but understudied in hematologic malignancies (diseases of the blood). Multiple myeloma (MM) is a type of blood cancer when a group of plasma cells in the bone marrow becomes cancerous. This disease can damage normal blood cells, immune system, kidneys and bones. We are the first group to report that BB improved treatment outcome in patients with multiple myeloma. 

Proposed Study: Because of the encouraging findings of our two previous studies and the convincing literature evidence of the potential antitumor mechanism of BB, we are hoping to conduct a sub-analysis of data from the clinical trials sponsored by Sanofi to further explore the potential interactions of BB with MM therapies. 

Proposed Methods: We would like to retrospectively review data from the clinical trials of isatuximab in combination of pomalidomide / dexamethasone or carfilzomib / dexamethasone provided by Sanofi. Pomalidomide is the newest iteration of immunomodulatory drugs that was approved by the Food and Drug Administration (FDA) to treat relapsed multiple myeloma. Dexamethasone, the most commonly used steroid in multiple myeloma therapy, is included in most of the treatment regimens. Carfilzomib is the second-generation of proteasome inhibitors that therapeutically block the function of proteasomes (cellular complexes that breakdown protein), therefore disrupting the protein metabolism of myeloma cells. We plan to extract the use of BB and non-BB cardiac or antihypertensive medication history to include the first and last documented date of BB and or other non-BB medications, dosage, and duration. BB use is defined as a minimum of 3 months of BB intake during trial participation.  Progression free survival (PFS), time to progression (TTP), and overall survival (OS) will be the endpoints to compare the outcomes between BB and non-BB usage groups. If possible, we would like to study if these same endpoints are affected by the dosage and duration of BB administration. PFS is defined as the time from initiating the clinical trial to the time of disease progression or death. Overall survival is calculated as the time from the date of diagnosis to the date of death. Time to progression is measured as the length of time from initiating clinical trial to disease progression. The International Myeloma Working Group (IMWG) has defined disease progression as having at least one of the following: a 25% increase in serum monoclonal protein with an absolute increase of at least 0.5 g/dL; urine monoclonal protein with an absolute increase of at least 200 mg / 24 hours; an absolute increase in urine monoclonal protein in patients without measurable serum and urine monoclonal protein levels; bone marrow clonal plasma cell percentage of at 10%; new bone lytic lesions or soft tissue plasmacytoma.
DOI: 10.6084/m9.figshare.22814084
title: Ex2: Network reliability estimation

description: Files whose names contain 'r1' concern reliability estimation for the network from Fig. 2 with component reliabilities given by the vector r1=[0.944, 0.964, 0.958, 0.946, 0.946, 0.948, 0.955, 0.954, 0.93, 0.955, 0.962, 0.952, 0.966]. These files whose names contain 'r2' concern reliability estimation for the network from Fig. 2 with component reliabilities given by the vector r2=[0.707, 0.699, 0.706, 0.693, 0.692, 0.704, 0.707, 0.693, 0.702, 0.708, 0.705, 0.679, 0.684]. Files whose names contain 'MC' concern reliability estimation based on d-MCs, otherwise the network reliability is based on d-MPs. If a file's name contains 'RX', then the file contains data concerning the performance of Chang's procedure for reliability estimation without steps 1 and 2 and Kozyra's procedure IFB (algorithm 1) for a given dataset of random vectors. Otherwise, the file contains data concerning the performance of Chang's procedure for reliability estimation using his first procedure generating random vectors and Kozyra's procedure IRE (algorithm 2). The meaning of columns in all datasets whose name does not contain 'RX' is as follows: 'd' - demand level, 'number' - the number of d-MPs or d-MCs; 'Chang R' and 'Chang T' - reliability estimation and running time, respectively, for Chang's reliability estimation procedure, 'Kozyra R' and 'Kozyra T' - reliability estimation and running time, respectively, for Kozyra's reliability estimation procedure (algorithm 2); 'Chang/Kozyra' - the ratio of the running time of Chang's procedure and the running time of Kozyra's algorithm. The meaning of columns in all datasets whose name contains 'RX' is as follows: 'd' - demand level, 'number' - the number of d-MPs or d-MCs; 'Simple R'/'Simple T' - reliability estimation/running time for Chang's estimation reliability procedure without steps 1-2 for X from a given dataset of random vectors, 'Intersection R'/'Intersection T' - reliability estimation/running time for Kozyra's estimation reliability procedure IFB (algorithm 1); 'Simple/Intersection' - the ration of the computational time of Chang's estimation reliability procedure without steps 1-2 and the running time of Kozyra's estimation reliability procedure IFB (algorithm 1).
DOI: 10.18434/mds2-3014
title: Measuring Electro-Acoustic Mixing in Piezoelectric Materials
DOI: 10.6084/m9.figshare.22814075
title: Ex2: All minimal cuts, d-MPs and d-MCs

description: The data set 'MCs.csv' contains all minimal cuts for the network from Fig. 2. The datasets ' all d-MPs.csv ' and ' all_d_MCs.csv ' contain all d-MPs and all d-MCs, respectively, for all levels, the network from Fig. 2, and for the greatest capacity vector from Table 4.
DOI: 10.6084/m9.figshare.22814075.v3
title: Ex2: All minimal cuts, d-MPs and d-MCs

description: The data set 'MCs.csv' contains all minimal cuts for the network from Fig. 2. The datasets ' all d-MPs.csv ' and ' all_d_MCs.csv ' contain all d-MPs and all d-MCs, respectively, for all levels, the network from Fig. 2, and for the greatest capacity vector from Table 4.
DOI: 10.6084/m9.figshare.22814075.v2
title: Ex2: All d-MPs and all d-MCs

description: The datasets ' all d-MPs.csv ' and ' all_d_MCs.csv ' contain all d-MPs and all d-MCs, respectively, for all levels, the network from Fig. 2, and for the greatest capacity vector from Table 4.