cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24250753
title: Dataset

description: This study aimed to evaluate the utility and applicability of electrooculography (EOG) when studying ocular activity during complex motor behavior. Due to its lower spatial resolution relative to eye tracking (ET), it is unclear whether EOG can provide valid and accurate temporal measurements such as the duration of the Quiet Eye (QE), that is the uninterrupted dwell time on the visual target prior to and during action. However, because of its greater temporal resolution, EOG is better suited for temporal-spectral decomposition, a technique that allows us to distinguish between lower and higher frequency activity as a function of time. Sixteen golfers of varying expertise (novices to experts) putted 60 balls to a 4-m distant target on a flat surface while we recorded EOG, ET, performance accuracy, and putter kinematics. Correlational and discrepancy analyses confirmed that EOG yielded valid and accurate QE measurements, but only when using certain processing parameters. Nested cross-validation indicated that, among a set of ET and EOG temporal and spectral oculomotor features, EOG power was the most useful when predicting performance accuracy through robust regression. Follow-up cross-validation and correlational analyses revealed that more accurate performance was preceded by diminished lower-frequency activity immediately before movement initiation and elevated higher-frequency activity during movement recorded from the horizontal channel. This higher-frequency activity was also found to accompany a smoother movement execution. This study validates EOG algorithms (code provided) for measuring temporal parameters and presents a novel approach to extracting temporal and spectral oculomotor features during complex motor behavior.
DOI: 10.5255/ukda-sn-856716
title: The Wall Street Stampede: Exit as Governance with Interacting Blockholders, 1994-2011

description: The asset management industry's growth has led to firms often having multiple institutional blockholders, which has a significant impact on corporate governance through exit strategies. A model has been proposed to illuminate this dynamic, emphasizing the role of open-ended institutional investors like mutual funds in enhancing corporate governance when informed blockholders exit. This model introduces a novel perspective on the influence of mutual funds in shaping corporate governance. Empirical evidence consistent with this framework is presented by examining mutual fund trading around exits by activist hedge funds. The empirical analysis centers on a dataset of 399 firms that underwent activist campaigns ending in exit between 1994 and 2011. Findings support the model's predictions, even after adjusting for unobservable firm-level variations and broader economic conditions. Following exits by activist hedge funds, mutual funds driven by fund flows significantly reduce their holdings in the target company compared to other institutional investors. This divergence in trading behavior is more pronounced when activists exit at a financial loss, campaigns show no clear success, or market reactions suggest liquidity concerns weren't the main driver. To conduct this analysis, data on activist campaigns is merged with institutional holdings information from the Thomson Reuters 13F database and the Morningstar Open-end Mutual Fund portfolio holdings dataset. The activist campaign data is based on Schedule 13D filings and aligns with the data collection methods of previous studies. Trading behavior of other blockholders is tracked using quarterly 13F filings, a requirement for institutional investors managing $100 million or more. The S34 dataset (13F filings) from Thomson Reuters is combined with the Morningstar Open End Mutual Funds database to classify mutual funds throughout the 1994–2013 period.
DOI: 10.5066/f7bv7dpx
title: Marker residue depletion from the skin-on fillet tissue of rainbow trout exposed to AQUI S 20E:

description: Among the data required by the U.S. Food and Drug Administration (FDA) for approval of an aquaculture drug are the data that characterize the depletion of a drugs marker residue from the edible fillet tissue of fish after exposure. Eugenol is the marker residue for AQUI-S 20E, a product proposed for use as a sedative for fish.Rainbow trout (Onchorynchus mykiss; a representative cold water fish species) was exposed to AQUI-S 20E in water at a temperature of 9 C, a temperature that is representative of the lower range of temperatures where rainbow trout would be sedated. Eighty fish were exposed to a nominal AQUI-S 20E concentration of 100 mg/L for 60 min. Groups of 16 fish were sampled immediately after 60 min of exposure (the 0 min sample group), then at 15, 30, 90, and 150 min after the fish were transferred to fresh, flowing water. Skin-on fillets from each fish were analyzed for eugenol concentrations by using a FDA approved method for determining eugenol concentrations in fish fillet tissue. The method involved extracting eugenol from the tissue with acetonitrile, recovering eugenol from the tissue extract by using solid phase extraction techniques, and determining eugenol concentrations in the final extract by using high pressure liquid chromatography with absorbance detection techniques.Results indicated that maximum eugenol concentrations in the fillet tissue were measured immediately after the exposure (mean, 47.5 g/g). Eugenol concentrations decreased to 1.9 g/g by 150 min after the fish were transferred to fresh, flowing water. The depletion of eugenol from the fillet tissue was rapid (t1/2 = 31.7 min).
DOI: 10.5281/zenodo.7859233
title: # Replication code and data for: Aging in a warming world: global projections of cumulative and acute heat exposure of older adults

description: Replication code and data for the paper: <em>Aging in a warming world: global projections of cumulative and acute heat exposure of older adults</em> By Giacomo Falchetta, Enrica De Cian, Ian Sue Wing and Deborah Carr To replicate the analysis: Download input data from https://doi.org/10.5281/zenodo.7859233 Download the replication code from https://github.com/giacfalk/aging_climate Download all the 1km age and gender-stratified global population counts rasters from the following WorldPop page https://hub.worldpop.org/geodata/summary?id=24798 Run "project_pop.R" script to make gridded age-stratified population scenarios data Run "projections_exposure_m.R" to quantify heat exposure metrics and generate figures and tables
DOI: 10.5281/zenodo.8409700
title: # Replication code and data for: Aging in a warming world: global projections of cumulative and acute heat exposure of older adults

description: # Replication code and data for: Aging in a warming world: global projections of cumulative and acute heat exposure of older adults<br> By Giacomo Falchetta, Enrica De Cian, Ian Sue Wing and Deborah Carr Software requirements:<br> - R v4.3+: https://cran.r-project.org/bin/windows/base/<br> - RStudio: v2023.06.0+: https://posit.co/download/rstudio-desktop/<br> - Package dependencies: raster, sf, tidyverse, rasterVis, rgdal, maptools, pbapply, terra, knitr, kableExtra, modelsummary, openxlsx, xtable, ggforce, maptools, weights, spatstat, rworldmap, scales, patchwork, stars, viridis, devtools, stargazer, readxl, nominatimlite, urbnmapr To replicate the analysis:<br> - Clone the replication code repository from https://github.com/giacfalk/aging_climate<br> - Download input data from this Zenodo data repository<br> - Download all the 1km age and gender-stratified global population counts rasters from the following WorldPop page https://hub.worldpop.org/geodata/summary?id=24798 and put them in a subdirectory of the working directory called "AGEPOP"<br> - Run the "project_pop.R" script to generate gridded age-stratified population data for each SSP scenario<br> - Run the "compare_pop_projections.R" file to compare the generated gridded age-stratified population data with an array of pre-existing sources from different countries and produce a summary comparison table (NOTE: before running the script, decompress the "new_comparison_data.zip" folder into the working directory)<br> - Run "projections_exposure_m.R" to quantify heat exposure and generate the figures and tables reported in the paper To process the data and run succesfully, the script requires a computer with at least 32GB RAM. The running time varies based on CPU characteristics, but a runtime of at least 2 hours should be expected to generate all the output data, figures, and tables. All output files are saved in the working directory. Manuscript under peer review. Upon publication, a link to the paper will be made available at this repository. ___ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
DOI: 10.21223/a7id1i/qzl0h6
title: TPHEN200410_LAVICT_Postharvest.xls

description: :unav
DOI: 10.21223/a7id1i/iltenk
title: 03_Datadictionary.txt

description: :unav
DOI: 10.21223/a7id1i/jo4x0e
title: 02_Material_list.txt

description: :unav
DOI: 10.21223/a7id1i/vuft4a
title: 01_Field_TPHEN200410_LAVICT_Postharvest.txt

description: :unav
DOI: 10.21223/a7id1i
title: Dataset for: Phenolic Compound Analysis in Potato Clones Across Post-Harvest Storage Durations, Huancayo 2004

description: This study aimed to assess changes in polyphenolic components at various post-harvest storage durations, including T0 (immediately after harvest), T1 (6 weeks after harvest), T2 (12 weeks after harvest), and T3 (18 weeks after harvest). We evaluated a total of fourteen native potato varieties using a randomized complete design (CRD) with three replications. These varieties were sourced from planting activities in La Victoria, Huancayo, Junin.
DOI: 10.6084/m9.figshare.22593298.v2
title: Multi-user activity recognition database

description: Data repository related to the publication. <br> Under construction. <br> For info, please contact the developer. <br> Full name: Francesco Semeraro <br> Email address: francesco.semeraro@manchester.ac.uk
DOI: 10.5281/zenodo.7881951
title: SONAR: A Nursing Activity Dataset with Inertial Sensors

description: Accurate and comprehensive nursing documentation is essential to ensure quality patient care. To streamline this process, we present SONAR, a publicly available dataset of nursing activities recorded using inertial sensors in a nursing home. The dataset includes 14 sensor streams, such as acceleration and angular velocity, and 23 activities recorded by 14 caregivers using five sensors for 61.7 hours. The caregivers wore the sensors as they performed their daily tasks, allowing for continuous monitoring of their activities.
DOI: 10.3886/e169121
title: Data and Code for: Online tutoring by college volunteers: Experimental evidence from a pilot program

description: A substantial body of experimental evidence demonstrates that in-person tutoringprograms can have large impacts on K-12 student achievement. However, suchprograms typically are costly and constrained by a limited local supply of tutors. Inpartnership with CovEducation (CovEd), we conduct a pilot program that has potentialto ease both of these concerns. We conduct an experiment where volunteer tutorsfrom all over the country meet 1-on-1 with middle school students online during theschool day. We find that the program produces consistently positive (0.07σ for mathand 0.04σ for reading) but statistically insignificant effects on student achievement.While these estimates are notably smaller than those found in many higher-dosagein-person tutoring programs, they are from a significantly lower-cost program thatwas delivered within the challenging context of the COVID-19 pandemic. We provideevidence that is consistent with a dosage model of tutoring where additional hoursresult in larger effects.
description: n/a
description: Response Rates: The school has over 900 students. At the time of the experiment, 477 of these chose to attend school in-person. All were eligible for participation in the experiment and were part of the initial randomizations. The randomization first selected 268 of these 477 students to participate in the experiment in wave 1. 134 of these were then randomized into treatment in wave 1. The remaining 209 students were part of wave 2; 88 were randomized into treatment since 88 new tutors became available. Finally, 83 new students later switched to hybrid attendance and were part of wave 3. 42 were randomized into treatment.
description: Presence of Common Scales: n/a
description: All students that were attending hybrid (in-person some days, at home others) at the middle school where the experiment was conducted were part of the study. Students who attended at home full time were not eligible.
description: Middle school students in Chicago Heights, IL. Smallest Geographic Unit: n/a
description: other; Data is de-identified and was provided by the school where the experiment was conducted.
DOI: 10.3886/e169121v1
title: Data and Code for: Online tutoring by college volunteers: Experimental evidence from a pilot program

description: A substantial body of experimental evidence demonstrates that in-person tutoringprograms can have large impacts on K-12 student achievement. However, suchprograms typically are costly and constrained by a limited local supply of tutors. Inpartnership with CovEducation (CovEd), we conduct a pilot program that has potentialto ease both of these concerns. We conduct an experiment where volunteer tutorsfrom all over the country meet 1-on-1 with middle school students online during theschool day. We find that the program produces consistently positive (0.07σ for mathand 0.04σ for reading) but statistically insignificant effects on student achievement.While these estimates are notably smaller than those found in many higher-dosagein-person tutoring programs, they are from a significantly lower-cost program thatwas delivered within the challenging context of the COVID-19 pandemic. We provideevidence that is consistent with a dosage model of tutoring where additional hoursresult in larger effects.
description: n/a
description: Response Rates: The school has over 900 students. At the time of the experiment, 477 of these chose to attend school in-person. All were eligible for participation in the experiment and were part of the initial randomizations. The randomization first selected 268 of these 477 students to participate in the experiment in wave 1. 134 of these were then randomized into treatment in wave 1. The remaining 209 students were part of wave 2; 88 were randomized into treatment since 88 new tutors became available. Finally, 83 new students later switched to hybrid attendance and were part of wave 3. 42 were randomized into treatment.
description: Presence of Common Scales: n/a
description: All students that were attending hybrid (in-person some days, at home others) at the middle school where the experiment was conducted were part of the study. Students who attended at home full time were not eligible.
description: Middle school students in Chicago Heights, IL. Smallest Geographic Unit: n/a
description: other; Data is de-identified and was provided by the school where the experiment was conducted.
DOI: 10.25345/c55m62j0j
title: MassIVE MSV000093048 - OGlcNAc crosslinking of CHD4 reveals novel fucntions for the nucleosome chromatin remodeling complex
title: CHD4 (Chromodomain Helicase DNA Binding Protein 4) is a DNA helicase and an essential component of the NuRD (Nucleosome Remodeling and Deacetylase) complex. CHD4 can interact with numerous proteins to form unique repressor or activator complexes to control gene expression. The control of CHD4 protein interactions is not well understood. We hypothesized that CHD4 O-GlcNAcylation allows CHD4 to interact with and form multi-protein complexes with numerous proteins. O-GlcNAc is a single N-accetylglucosamine sugar (O-GlcNAc) modification found on intracellular proteins. To identify novel O-GlcNAcylated CHD4 interacting proteins, we treated a gene-edited erythroleukemia cell line (UAP1:F383G K-562) with a sugar analogue containing a photo-crosslinkable diazirine group (GlcNDAz). O-GlcNAc transferase (OGT) adds the sugar analogue to proteins. Thus, after crosslinking we used CHD4 immunoprecipitation (IP) coupled with mass spectrometry to identify CHD4 interacting proteins. Interestingly, in the control IP, OGT was associated with unmodified CHD4; while, O-GlcNDAzylated CHD4 was associated as expected with proteins involved in gene regulation. Next, we induced gene expression and terminal differentiation in the UAP1:F383G K-562 cells and identified GlcNDAz CHD4 interacting proteins. We found greater than 150 novel interacting proteins. GlcNDAz CHD4 interacted preferentially with proteins in the mini-chromosome complex (MCM), mitotic spindle, and with specific NuRD complex members. Using cell cycle synchronized HeLa cells, we validated an S phase interaction of CHD4 with MCM7 and a M phase interaction with the mitotic spindle. Together, these data show robust and novel functions for CHD4 and suggest these functions are preferentially generated by O-GlcNAcylation of CHD4.
DOI: 10.5281/zenodo.7609447
title: Matching Registered Nurse Services With Changing Care Demands in Psychiatric Hospitals: A Multicenter Observational Study (MatchRN Psychiatry Study). Data from the Nurse Survey

description: Match<sup>RN</sup> Psychiatry is a multicenter observational study of Swiss psychiatric hospitals. This study's purpose is to describe health care quality by exploring hospital structures such as nurse staffing and the work environment; processes such as the rationing of care; nurse outcomes, including job satisfaction and work-life balance. The sample for this study included approximately 1200 nurses from 115 units of 13 psychiatric hospitals in Switzerland's German-speaking region. The nurse survey covered three dimensions: work environment, patient safety climate, and the rationing of care. Data were collected between September 2019 and June 2021. The Match<sup>RN</sup> Psychiatry study is funded by the participating psychiatric hospitals and the Swiss Psychiatric Nursing Leaders Association (Vereinigung Pflegekader Psychiatrie Schweiz).
description: {"references": ["Gehri, B., Bachnick, S., Schwendimann, R., & Simon, M. (2021). Matching Registered Nurse Services With Changing Care Demands in Psychiatric Hospitals: Protocol for a Multicenter Observational Study (MatchRN Psychiatry Study). JMIR research protocols, 10(8), e26700. https://doi.org/10.2196/26700"]}
DOI: 10.5281/zenodo.8383858
title: Dataset Hadler et al., 2023: Gamma-Oscillation Plasticity Is Mediated by Parvalbumin Interneurons

description: Dataset accompanying Hadler et al., 2023. Contains three files sufficient to reproduce the findings of the study: Gamma-Plasticity_Data-Dictionary.xlsx: A dictionary file supplementing the corresponding data file "Gamma-Plasticity_Data.xlsx". Explanations for column headers and variables are provided for the respective spreadsheets. Gamma-Plasticity_Data.xlsx: Sheet-by-sheet presentation of the descriptive data presented in each figure (including supplementary figures) of the manuscript. Gamma-Plasticity_Statistics-Report.xlsx: Sheet-by-sheet reporting of the statistical evaluation presented in each figure (including supplementary figures) of the manuscript. Re-edited from previous version due to errors in the Q-Q-plots in sheet Fig. S4.
DOI: 10.5281/zenodo.8383859
title: Dataset Hadler et al., 2023: Gamma-Oscillation Plasticity Is Mediated by Parvalbumin Interneurons

description: Dataset accompanying Hadler et al., 2023. Contains three files sufficient to reproduce the findings of the study: Gamma-Plasticity_Data-Dictionary.xlsx: A dictionary file supplementing the corresponding data file "Gamma-Plasticity_Data.xlsx". Explanations for column headers and variables are provided for the respective spreadsheets. Gamma-Plasticity_Data.xlsx: Sheet-by-sheet presentation of the descriptive data presented in each figure (including supplementary figures) of the manuscript. Gamma-Plasticity_Statistics-Report.xlsx: Sheet-by-sheet reporting of the statistical evaluation presented in each figure (including supplementary figures) of the manuscript.
DOI: 10.5281/zenodo.8411041
title: Dataset Hadler et al., 2023: Gamma-Oscillation Plasticity Is Mediated by Parvalbumin Interneurons

description: Dataset accompanying Hadler et al., 2023. Contains three files sufficient to reproduce the findings of the study: Gamma-Plasticity_Data-Dictionary.xlsx: A dictionary file supplementing the corresponding data file "Gamma-Plasticity_Data.xlsx". Explanations for column headers and variables are provided for the respective spreadsheets. Gamma-Plasticity_Data.xlsx: Sheet-by-sheet presentation of the descriptive data presented in each figure (including supplementary figures) of the manuscript. Gamma-Plasticity_Statistics-Report.xlsx: Sheet-by-sheet reporting of the statistical evaluation presented in each figure (including supplementary figures) of the manuscript. Re-edited from previous version due to errors in the Q-Q-plots in sheet Fig. S4.
DOI: 10.3886/e169481
title: Data and Code for: Parental Investments in Early Childhood and the Gender Gap in Math and Literacy

description: Parental investments at early ages can shape children’s future educational specializations. Using a longitudinal study, we find that parents invest more in daughters than sons at ages 3-5. Moreover, parents’ beliefs about their children’s reading and math abilities are higher for girls than boys. We examine how these behaviors and beliefs predict children’s academic performance 4-6 years later. We find that early parental investment and beliefs lead to persistently higher English scores for girls than boys in grades 3-5. However, there is no gender gap in math scores. The results suggest that parental beliefs and behaviors at ages 3-5 contribute to girls’ advantage in English but have little impact on math. In our data, parents' investments appear to be domain-specific, giving girls an advantage in reading that does not transfer to math. Since math skills are foundational for economics and STEM, these investments may be more effective in promoting skills for the arts over economics and STEM. If parents invest more in girls and early skill development shapes students’ later educational decisions, the greater effectiveness of parental investment in reading than math may lead women to favor the arts over economics or STEM fields later on.
DOI: 10.3886/e169481v1
title: Data and Code for: Parental Investments in Early Childhood and the Gender Gap in Math and Literacy

description: Parental investments at early ages can shape children’s future educational specializations. Using a longitudinal study, we find that parents invest more in daughters than sons at ages 3-5. Moreover, parents’ beliefs about their children’s reading and math abilities are higher for girls than boys. We examine how these behaviors and beliefs predict children’s academic performance 4-6 years later. We find that early parental investment and beliefs lead to persistently higher English scores for girls than boys in grades 3-5. However, there is no gender gap in math scores. The results suggest that parental beliefs and behaviors at ages 3-5 contribute to girls’ advantage in English but have little impact on math. In our data, parents' investments appear to be domain-specific, giving girls an advantage in reading that does not transfer to math. Since math skills are foundational for economics and STEM, these investments may be more effective in promoting skills for the arts over economics and STEM. If parents invest more in girls and early skill development shapes students’ later educational decisions, the greater effectiveness of parental investment in reading than math may lead women to favor the arts over economics or STEM fields later on.