cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19074053
title: Do Elected Officials Have a Home-Grown Bias? Evidence from an Audit Study on Local Elected Officials

description: Do elected officials have a “home-grown” bias—that is, a bias toward those that profess to have lived in their constituencies for longer periods of time and share a sense of local values? Building off a wealth of experimental research on group-based biases among elected officials, I conduct an original experimental audit study on a randomly selected group of local elected officials across ten states. The treatments come in the form of email communication from a hypothetical constituent that expresses how long they have been a member of the official’s community and whether they feel their set of values matches the community. I find that local elected officials respond to messages that make their home-group identities salient in a discriminatory manner toward members of the out-group. Specifically, I find that officials are far less likely to respond to constituent requests when the constituent mentions that they feel they do not share the community’s values. The chance of response decreases even further if the lack of shared values is coupled with mention that the constituent is a recent transplant into the community.
DOI: 10.6084/m9.figshare.17124070
title: No-Crossing Single-Index Quantile Regression Curve Estimation

description: Single-index quantile regression (QR) models can avoid the curse of dimensionality in nonparametric problems by assuming that the response is only related to a single linear combination of the covariates. Like the standard parametric or nonparametric QR whose estimated curves may cross, the single-index QR can also suffer quantile crossing, leading to an invalid distribution for the response. This issue has attracted considerable attention in the literature in the recent year. In this article, we consider single-index models, develop methods for QR that guarantee noncrossing quantile curves, and extend the methods and results to composite quantile regression. The asymptotic properties of the proposed estimators are derived and their advantages over existing methods are explained. Simulation studies and a real data application are conducted to illustrate the finite sample performance of the proposed methods.
DOI: 10.6084/m9.figshare.17124070.v2
title: No-Crossing Single-Index Quantile Regression Curve Estimation

description: Single-index quantile regression (QR) models can avoid the curse of dimensionality in nonparametric problems by assuming that the response is only related to a single linear combination of the covariates. Like the standard parametric or nonparametric QR whose estimated curves may cross, the single-index QR can also suffer quantile crossing, leading to an invalid distribution for the response. This issue has attracted considerable attention in the literature in the recent year. In this article, we consider single-index models, develop methods for QR that guarantee noncrossing quantile curves, and extend the methods and results to composite quantile regression. The asymptotic properties of the proposed estimators are derived and their advantages over existing methods are explained. Simulation studies and a real data application are conducted to illustrate the finite sample performance of the proposed methods.
DOI: 10.6084/m9.figshare.17124070.v1
title: No-crossing single-index quantile regression curve estimation

description: Single-index quantile regression models can avoid the curse of dimensionality in nonparametric problems by assuming that the response is only related to a single linear combination of the covariates. Like the standard parametric or nonparametric quantile regression whose estimated curves may cross, the single-index quantile regression can also suffer quantile crossing, leading to an invalid distribution for the response. This issue has attracted considerable attention in the literature in recent years. In this paper, we consider single-index models, develop methods for quantile regression that guarantee non-crossing quantile curves, and extend the methods and results to composite quantile regression. The asymptotic properties of the proposed estimators are derived and their advantages over existing methods are explained. Simulation studies and a real data application are conducted to illustrate the finite sample performance of the proposed methods.
DOI: 10.34881/zyg5xm
title: Health Behaviour of Icelandic Youth

description: Health Behavior of Icelandic Youth is an extensive long-term study on the health status of Icelandic youth and its relation to sleep, physical activity and school environment. The research is organized by investigators at the School of Education, University of Iceland, in collaboration with the city of Reykjavík, Directorate of Health, Icelandic Heart Association, National Institute of Health in USA and Western Norway University of Applied Sciences in Bergen. The overall aim of the research was to investigate physical health status, in particular longitudinal changes in body composition, physical activity, sleep, mental aspects and fitness in a cohort of Icelandic children (born in 1999), from age 7 and 9 years old to 15 and 17 years old. Furthermore, the aim was to assess how these factors are associated with objective measures of sleeping patterns and physical activity in adolescence and the longitudinal changes in these from age 15 to 17. In the years 2006 and 2008, the first wave of data collection was conducted under the title Lifestyle of 7 and 9 year old Icelandic children - an intervention study for improved health. Data collection for the second wave was conducted in 2015 and 2017, under Health Behavior of Young Icelanders, where individuals from the first wave were followed up along with a group of new individuals.
DOI: 10.17909/fkay-8z97
title: SH0ES Data

description: Lots of SH0ES data images
DOI: 10.6073/pasta/e2f95244d82dba4ce1879a25074fdd24
title: Ground water well elevation for Niwot Ridge Saddle, 2012 - 2018.

description: Water level of Saddle Ground Water Wells. Ground Water Well locations, depths, and design were determined by Niwot Ridge LTER lead researchers, Mark Williams and Nel Caine, to monitor groundwater chemistry and water levels. Well locations were selected based on proximity to the headwater region of the Saddle stream channel. Ground Water Wells are located along an east-west transect at the Saddle site, each pair consisting of a deep well to a depth between 6.3 and 8.8 m, and a shallow well to a depth of 1.5 m. Ground surface elevations at the Saddle wells range from about 3522 m at the eastern wells to 3532 m at the western wells. The transect is roughly 170 m from east to west, has an average slope of 0.06, and is perpendicular to the Saddle stream. Saddle pair 3 was installed very close to the channel. Saddle pairs 2 and 4 were installed on opposite sides of the channel. Saddle pair 1 was installed furthest from the channel (King, 2012). Ground water wells were installed in October 2005 by Bandimere Geothermal Drilling Systems. Wells are cased with 2-inch nominal pipe size, Schedule 40 polyvinyl chloride (PVC), flush-threaded pipe. Well screens were constructed from 0.020-inch continuous slot PVC and installed in 5-ft (1.52 m) intervals. All of the wells have 1.52 m screens at the bottom of the well. The bottoms of the wells were capped with a PVC flush-threaded point cap. The annular space around each screen and pipe was backfilled with #10-20 silica sand to act as a filter (King, 2012). The Niwot Ridge LTER monitoring of these Ground Water Wells has varied over the years since the wells were installed. Prior to 2014, all wells were sampled weekly in summer and monthly in winter for chemistry, and alternating wells were monitored for water level with pressure transducers and a weighted tape measure. From 2015 through present, Saddle Deep 3 (SD3) and Saddle Deep 4 (SD4)- those located closest to the Saddle Stream headwaters- are being monitored for water level, water temperature and chemistry. Depth to water and temperature are recorded at 12 hour intervals by a Solonist Pressure Transducer. Additional water level measurements are taken weekly from snowmelt through end of September, and monthly from October through snowmelt, with a weighted tape measure and compared to pressure transduce voltage to convert voltage to depth below surface.
DOI: 10.5517/ccdc.csd.cc227lyw
title: CCDC 1913938: Experimental Crystal Structure Determination

description: Related Article: Yuanyuan Li, Qiuchen Peng, Shijun Li, Yuchen Cai, Bin Zhang, Kai Sun, Junbao Ma, Cuiping Yang, Hongwei Hou, Huifang Su, Kai Li|2019|Sens.Actuators,B|301|127139|doi:10.1016/j.snb.2019.127139
description: Related Article: Qiuchen Peng, Yuanyuan Li, Shi-Jun Li, Yuchen Cai, Bin Zhang, Kai Sun, Junbao Ma, Cuiping Yang, Huifang Su, Kai Li|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24hvfy
title: CCDC 1981440: Experimental Crystal Structure Determination

description: Related Article: Pritam Shankhari, T. Fokwa, P. Boniface|2020|CSD Communication|||
description: Related Article: Augustin N. Nana, Delia Haynes, Hervé Vezin, Claire Minaud, Pritam Shankhari, Boniface P.T. Fokwa, Justin Nenwa|2020|J.Mol.Struct.|1220|128642|doi:10.1016/j.molstruc.2020.128642
DOI: 10.5517/ccdc.csd.cc24k9wx
title: CCDC 1982849: Experimental Crystal Structure Determination

description: Related Article: Guo Zhao|2020|CSD Communication|||
DOI: 10.6073/pasta/2b1189b0eff59ec6284e4f6b07b8bd83
title: Atmospheric ozone data from Soddie, 2005 - 2017.

description: This is a summary of hourly ozone concentrations measured at a height of ~2.5 on a tower in the Soddie meadow. The focus was on the winter, but both the sampling frequency and the length of sampling during a year varied.
DOI: 10.6073/pasta/08c008054dc36248e0e497929ecaddb2
title: North Temperate Lakes LTER: Northern Wisconsin Lake Resident Survey 2005

description: The purpose of this 2005 survey was to understand what lake characteristics people value most, what activities they enjoy most, and what they expect for the future of northern Wisconsin lakes. Questions covered aspects such as the property search process individuals went through leading up to their purchase of lakeshore property in Vilas County WI, what activities the individual's household participate in on lakes in Vilas County WI, their attitude about the future of their lake, their perception of the current state of their lake, and lake qualities they would like improved on their lake. Demographics of the respondents and background information about their lake were also collected. Two types of surveying methodologies were used for this survey, one being an internet-based survey, while the other was a mail survey. The dataset includes 1554 observations. Summary of results.
DOI: 10.6084/m9.figshare.3761562.v2118
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: 10.48324/dandi.000013/0.220126.2143
title: Low-noise encoding of active touch by layer 4 in the somatosensory cortex

description: Data from "Low-noise encoding of active touch by layer 4 in the somatosensory cortex" Hires, Gutnisky et al. Elife 2015
DOI: 10.6084/m9.figshare.18480431
title: RnData_DataSets.xlsx

description: Raw radon data for research paper<br>
DOI: 10.6084/m9.figshare.19074158
title: FullAnimalia.csv.gz

description: This dataset includes all animalia species present in the World Register for Marine Species (WoRMS) repository. This information was downloaded in July of 2021.
DOI: 10.6073/pasta/751a8c7ecd59eb35a0560e51226511fb
title: North Temperate Lakes LTER: Spatially Distributed Water Temperature (2004,2006) and Sediment Temperature (2006) of Lake Wingra

description: Profiles of water and sediment temperature were measured during the summer months in Lake Wingra, Dane County, WI, USA at several locations. During the months July through September, 2004, water temperature profiles were measured. For the months, June through August, 2006, sediment temperatures were measured along with the water temperature profiles. Sampling Frequency: 2 minutes and 4 minutes Number of sites: 3 sites each summer Instrument: http://www.microdaq.com/occ/u22/underwater_temperature_data_logger.php - Underwater Temperature Data Logger
DOI: 10.48324/dandi.000019/0.220126.2148
title: Human ECoG speaking consonant-vowel syllables

description: The enclosed data is collected using a high-density 256-channel electrocorticography (ECoG) array implanted in human patients during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang and Dr. Kristofer Bouchard at the University of California, San Francisco, and curated by Dr. Kristofer Bouchard and Dr. Benjamin Dichter.


Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders (NWB) 2.0 format. Voltage traces are included for each of the recorded 256 channels. Microphone signal was recorded at the time but is removed for HIPAA compliance. Detailed hand-marked annotations are provided which mark what syllable was said, and the times of the start, consonant-vowel transition, and end of each syllable. A rest-period time is also included when the subject was silent, which can be used as a baseline. Hand-marked anatomical labels are included for electrodes in the relevant brain regions. All dates have been removed for HIPAA compliance and replaced with Jan 1, 1900.
DOI: 10.6084/m9.figshare.19074161
title: FullParasite.csv.gz

description: This dataset includes all parasite species present in the World Register for Marine Species (WoRMS) repository. This information was downloaded in July of 2021.
DOI: 10.6084/m9.figshare.19074161.v1
title: FullParasite.csv.gz

description: This dataset includes all parasite species present in the World Register for Marine Species (WoRMS) repository. This information was downloaded in July of 2021.
DOI: 10.18739/a24q7qr39
title: Tide Model Driver (TMD) version 2.5, Toolbox for MATLAB (MATrix LABoratory)

description: Data available for download at https://arcticdata.io/data/10.18739/A24Q7QR39/ TMD 2.5 (“Tide Model Driver, version 2.5”) is a MATLAB (MATrix LABoratory) toolbox for accessing the coefficients for tidal harmonic constituents in barotropic tide models created by Oregon State University and Earth and Space Research, and for making predictions of tide height and currents. TMD 2.5 includes two components: (1) a set of scripts for accessing tidal fields and making predictions; and (2) a graphical user interface (GUI) for quickly browsing tide fields, zooming in on regions of interest, and selecting points and time ranges for predictions of specific variables. The toolbox is provided with a detailed User Manual with several examples of how to use its different functions.
DOI: 10.6084/m9.figshare.19072574.v1
title: Data set_Todas las revistas_Publicación_Continua.xlsx

description: The data set contains data from 23 journals that transitioned to Rolling pass publication or continuous publication in 2018 and 2019. The journals belong to the SciELO Mexico database. The objective of this data set is to explore the production and immediacy index of the journals.<br>
DOI: 10.25952/y89w-7e26
title: The Association between the Five-Factor Model of Personality  and Problem Cannabis Use

description: This a datafile for a meta-analysis. The aim of this meta-analysis was to examine the association between the five-factor model of personality and problem cannabis use. Only studies using reliable and valid measures of the variables were included. The meta-analysis included eight separate samples from five different studies and a total of 5,334 participants. The results of the meta-analysis indicate that four of the traits in the five-factor model of personality traits had a significant association with problem cannabis use: neuroticism (r = .33, p = <.05, 95% CI [.01,.59], conscientiousness (r = -.29, p = <.01, 95% CI [-.46,-.10], agreeableness (r = -.29, p = <.05, 95% CI [.01,.59], and openness (r = .18, p = <.05, 95% CI [.03,.32]. The results suggest that individuals who use cannabis to a problematic extent share a common personality profile that differentiates problematic cannabis use from other forms of addictive behaviours due to the present finding of a positive association with openness to experience. The findings of this meta-analysis support the value of the five-factor model of personality and may point to the development of new prevention and treatment strategies
description: This a datafile for a meta-analysis. The aim of this meta-analysis was to examine the association between the five-factor model of personality and problem cannabis use. Only studies using reliable and valid measures of the variables were included. The meta-analysis included eight separate samples from five different studies and a total of 5,334 participants. The results of the meta-analysis indicate that four of the traits in the five-factor model of personality traits had a significant association with problem cannabis use: neuroticism (r = .33, p = <.05, 95% CI [.01,.59], conscientiousness (r = -.29, p = <.01, 95% CI [-.46,-.10], agreeableness (r = -.29, p = <.05, 95% CI [.01,.59], and openness (r = .18, p = <.05, 95% CI [.03,.32]. The results suggest that individuals who use cannabis to a problematic extent share a common personality profile that differentiates problematic cannabis use from other forms of addictive behaviours due to the present finding of a positive association with openness to experience. The findings of this meta-analysis support the value of the five-factor model of personality and may point to the development of new prevention and treatment strategies
DOI: 10.5517/ccdc.csd.cc28g9nq
title: CCDC 2099123: Experimental Crystal Structure Determination

description: Related Article: Yan Chen, Chunli Hu, Zhi Fang, Yilin Li, Jianggao Mao|2022|Inorg.Chem.|61|1778|doi:10.1021/acs.inorgchem.1c03711
DOI: 10.6084/m9.figshare.19072574
title: Data set_Todas las revistas_Publicación_Continua.xlsx

description: The data set contains data from 23 journals that transitioned to Rolling pass publication or continuous publication in 2018 and 2019. The journals belong to the SciELO Mexico database. The objective of this data set is to explore the production and immediacy index of the journals.<br>
DOI: 10.6084/m9.figshare.19072574.v3
title: Data set_Todas las revistas_Publicación_Continua.xlsx

description: The data set contains data from 23 journals that transitioned to Rolling pass publication or continuous publication in 2018 and 2019. The journals belong to the SciELO Mexico database. The objective of this data set is to explore the production and immediacy index of the journals.<br>
DOI: 10.6084/m9.figshare.19072574.v2
title: Data set_Todas las revistas_Publicación_Continua.xlsx

description: The data set contains data from 23 journals that transitioned to Rolling pass publication or continuous publication in 2018 and 2019. The journals belong to the SciELO Mexico database. The objective of this data set is to explore the production and immediacy index of the journals.<br>
DOI: 10.6084/m9.figshare.16862926
title: From Substrate to Surface: A Turbulence-based Model for Gas Transfer across Sediment-water-air Interfaces in Vegetated Streams

description: Data presented and discussed in "From Substrate to Surface: A Turbulence-based Model for Gas Transfer across Sediment-water-air Interfaces in Vegetated Streams" by Chien-Yung Tseng and Rafael O. Tinoco in Water Resources Research (2022). Data files are described in details in the Data Description File.<br>
DOI: 10.6084/m9.figshare.16862926.v3
title: From Substrate to Surface: A Turbulence-based Model for Gas Transfer across Sediment-water-air Interfaces in Vegetated Streams

description: Data presented and discussed in "From Substrate to Surface: A Turbulence-based Model for Gas Transfer across Sediment-water-air Interfaces in Vegetated Streams" by Chien-Yung Tseng and Rafael O. Tinoco in Water Resources Research (2022). Data files are described in details in the Data Description File.<br>
DOI: 10.6084/m9.figshare.16862926.v2
title: From Substrate to Surface: A Turbulence-based Model for Gas Transfer across Sediment-water-air Interfaces in Vegetated Streams

description: Data presented and discussed in "From Substrate to Surface: A Turbulence-based Model for Gas Transfer across Sediment-water-air Interfaces in Vegetated Streams" by Chien-Yung Tseng and Rafael O. Tinoco in Water Resources Research (Under Review). Data files are described in detail in the Data Description File.<br>
DOI: 10.5281/zenodo.5908030
title: Open Source Software Sustainability

description: The reproducible code and dataset along with the paper submission.
DOI: 10.5281/zenodo.5109364
title: Open Source Software Sustainability

description: The reproducible code and dataset along with the paper submission.
DOI: 10.6073/pasta/1b688d21d16bedea573c45be568e4ba7
title: Florida Bay Physical Data, Everglades National Park (FCE LTER), South Florida, USA, Ongoing Since September 2000

description: Point measurements of Salinity, temperature and turbidity collected during visits to TS/Ph 7a, TS/Ph8, TS/Ph9, TS/Ph10 and TS/Ph11. Graphic representation of seagrass status and trends monitoring data and other related information can be located at http://serc.fiu.edu/seagrass/!CDreport/DataHome.htm
DOI: 10.6073/pasta/7dc5e1f888281081de71818082bd0c78
title: Stream temperature at core phenology stream sites in the Andrews Experimental Forest, 2009 - 2014

description: The H.J Andrews phenology research included this study of stream temperatures at six headwater streams where springtime emergence of stream macroinvertebrates were collected. Streams were selected across an elevational gradient and with young riparian forests as well as old growth riparian forests. One site was a stream that originated in a cold water spring and the site was a stream that drys late in the summer. Stream temperature loggers were placed in protective housings and stream temperatures collected year-round starting May 2009-July 2014. Data were evaluated for quality control and missing periods were filled. These data document the thermal environment that stream macroinvertebrates experience and that influence their timing of emergence (database SA025).
DOI: 10.5517/ccdc.csd.cc29zqlm
title: CCDC 2144691: Experimental Crystal Structure Determination

description: Related Article: LI HENG|2022|CSD Communication|||