cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27161430
title: Supplementary Material for: Non-alcoholic Fatty Liver Disease (NAFLD) and its association with kidney and cardiovascular outcomes in moderate to advanced chronic kidney disease

description: Introduction
Non-alcoholic fatty liver disease (NAFLD) has emerged as a potential indicator for cardio-metabolic risk. However, clinical implications of NAFLD in patients with chronic kidney disease (CKD) are still elusive. We investigated to explore the association between NAFLD and adverse clinical outcomes among patients with CKD. 
Methods
In this national population-based retrospective cohort study, we analyzed 816,857 individuals who underwent National Health Insurance Service health examinations and had an eGFR of 15–59 mL/min/1.73 m2. The main predictor was the fatty liver index (FLI), a surrogate marker for NAFLD. The primary outcome was a composite cardiovascular or kidney events, which were examined combined or separately. 
Results
During a median follow-up of 7.7 (IQR, 6.4–9.6) years, the composite outcome events occurred in 74,266 (9.1%) individuals. Among these, there were 55,525 (6.8%) cardiovascular events and 22,961 (2.8%) kidney events, respectively. Compared to FLI of &lt;30, the HRs (95% CIs) for the composite outcome were 1.16 (1.14–1.18) and 1.30 (1.26–1.33) for the FLIs of 30–59 and ≥60, respectively. The corresponding HRs for cardiovascular events were 1.21 (95% CI, 1.18–1.23) and 1.36 (95% CI, 1.31–1.40), respectively. Furthermore, FLIs of 30–59 and ≥60 were associated with an 11% (HR, 1.11; 95% CI, 1.07–1.15) and 24% (HR, 1.24; 95% CI, 1.17–1.30) increased risk of kidney events, respectively. 
Conclusions
NAFLD was associated with higher risk of adverse clinical outcomes in individuals with CKD. These findings suggest that NAFLD, as assessed by the FLI, can serve as a predictor of cardiovascular and kidney events in CKD population.
DOI: 10.6084/m9.figshare.27168087
title: Supplementary Material for: Effect of Preoperative Geriatric Nutritional Risk Index on Prognosis in Patients after Surgery for Lower Gastrointestinal Perforation

description: Introduction: Geriatric Nutritional Risk Index (GNRI) is a reliable index derived from serum al-bumin levels, height, and weight. Although various prognostic factors have been studied, the effect of preoperative nutritional status on surgical outcomes remains unexplored. This study aimed to evaluate the efficacy of the GNRI in predicting postoperative outcomes of lower gastro-intestinal perforation. 
Methods: Eighty patients treated at our institution between January 2016 and December 2022 were retrospectively analyzed. This study primarily focused on the correlation between pre-operative GNRI and two key outcomes: postoperative hospital stay duration and 1-year mortality rate.
Results: Our findings revealed a significant association between low GNRI scores and increased 1-year mortality (Odd ratio 4.0, 95% confidence interval [CI] 1.1–16, p=0.025). Kaplan–Meier analysis and log-rank test showed that patients in the low GNRI group had markedly poorer overall survival rates than those in the high GNRI group (12-month survival rate 0.88 [95%CI: 0.75–0.95] vs. 0.65 [95%CI: 0.47–0.78]; p=0.018). Additionally, both univariate and multivariate analyses indicated that lower GNRI scores were associated with prolonged hospital stays.
Conclusion: We showed that a low GNRI score was associated with high mortality and pro-longed hospital stay after emergency surgery for lower gastrointestinal perforation.
DOI: 10.6084/m9.figshare.27169458
title: Supplementary Material for: Differences in foot morphology across age groups for women active in sport

description: Introduction: Foot morphology in the general population has been shown to change with age and active older adults have reported a need for wide-fitting footwear. Methods: This study recruited 374 women active in racket sports and team sports in the United Kingdom who had their feet scanned while 50% weight bearing. Participants were grouped into 10-year age bands ranging from 18-29 years to 70-79 years. Data analysis was performed on the widths, heights and circumferences of participants’ right feet normalised to foot length, as well as an assessment of hallux valgus angle and deformity. Results: The 18–29-year group had significantly smaller in measures of foot width, ball of foot circumference and short heel circumference (p&lt;0.05, η2 =0.042- η2 =0.056) compared to the older groups. The foot dorsum height and circumference at 50% foot length were significantly less in the oldest age groups compared to the middle age groups (p= 0.0001, η2 = 0.055 and p= 0.0007, η2 = 0.044 respectively). There was some evidence of increased hallux valgus deformity with age. Conclusion: Designers and manufacturers of athletic footwear should be aware of the changes in footwear morphology with age in order to provide more inclusive footwear.
DOI: 10.7289/v5b85627
title: Bathymetry of Lake Michigan

description: Bathymetry of Lake Michigan has been compiled as a component of a NOAA project to rescue Great Lakes lake floor geological and geophysical data and make it more accessible to the public. The project is a cooperative effort between investigators at the NOAA National Geophysical Data Center's Marine Geology & Geophysics Division (NGDC/MGG) and the NOAA Great Lakes Environmental Research Laboratory (GLERL). was compiled utilizing the entire historic sounding data base. This bathymetry resolves physiography of the lake floor to an extent that known features are revealed more accurately and features never before seen are revealed for the first time. Bathymetry has been compiled using the entire array of good-quality historical hydrographic soundings collected in support of nautical charting over a 120-year period by the NOAA National Ocean Service and its predecessor agency for Great Lakes surveying, the Army Corps of Engineers. More than 600,000 bathymetric soundings were employed, of which approximately 60 per cent were already in digital form, 25 per cent were digitized in conjunction with this effort, and the remaining 15 per cent were available only on paper survey sheets. Bathymetry was compiled at a scale of 1:250,000, with a contour interval of 5 meters. Density of tracklines is generally about 2000m for the open lake and ranges from 200m to 600m for nearshore areas. Soundings collected since 1903 were already reduced to the Lake Michigan mean low water datum; these were used for bathymetric contouring without further calibration or adjustments. Soundings collected prior to 1903 were reduced to the mean low water datum. In preparation for bathymetric contouring, digital soundings were converted to metric units and plotted in color; separate colors were assigned to the various depth ranges. From the paper sheets, contours in metric units were generated directly on overlays; these contours were then reduced to the compilation scale of 1:250,000 and incorporated into the map. Compilation sheets were then scanned and vectorized; and the resulting digital vector bathymetric contour data were used to generate the imagery shown on the large color plate. Images were constructed using the publicly-available software Generic Mapping Tools (GMT).
DOI: 10.1285/i22390359v40p187
title: "Multiple G. S.Ws to the chest. B.P. 90 over 60. Pulse in the 120s. Push 1 of epi!" A preliminary study on the representation of spoken medical English in Grey's Anatomy

description: This paper explores the representation of spoken medical English in Grey's Anatomy (Rhymes 2005-still running), a very popular American TV series set in a hospital environment. Given the shortage of authentic materials portraying spoken medical interactions, medical dramas, which are becoming increasingly accurate, globally acclaimed, represent a useful source to study oral communications in this professional domain. The analysis is based on a sample of episodes in which four main recurrent types of medical-related situations were isolated featuring both expert-to-expert and expert- nonexpert conversations: i) the arrival at ER, ii) the discussion of the clinical case between physicians, iii) the discussion of the clinical case between doctor and patient and iv) the medical procedure. The qualitative assessment of the medical sequences pertaining to the four situational contexts, of which doctor-doctor interactions came out as the most represented ones, revealed some recurrent linguistic usages and attached pragmatic functions. Such results constitute an interesting basis for studies on the authenticity of the representation of oral medical discourse in televisual products.
DOI: 10.17188/1833409
title: A representation-independent electronic charge density database for crystalline materials

description: In addition to being the core quantity in density functional theory, the charge density can be used in many tertiary analyses in materials sciences from bonding to assigning charge to specific atoms. The charge density is data-rich since it contains information about all the electrons in the system. With increasing utilization of machine-learning tools in materials sciences, a data-rich object like the charge density can be utilized in a wide range of applications. The database presented here provides a modern and user-friendly interface for a large and continuously updated collection of charge densities as part of the Materials Project. In addition to the charge density data, we provide the theory and code for changing the representation of the charge density which should enable more advanced machine-learning studies for the broader community.
DOI: 10.17632/sw43d9g2r6.2
title: Drug Repurposing Option for COVID-2019 with Structural Bioinformatics of Chemical Interactions Approach

description: Supplementary Material for Drug Repurposing COVID-19
DOI: 10.18727/archive/57
title: VHS - VISTA Hemisphere Survey

description: The VISTA Hemisphere Survey (VHS; ESO Programme ID: 79.A-2010) is a wide field near infrared survey, which when combined with other VISTA public surveys results in coverage of the whole southern celestial hemisphere (Declination &lt; 0◦; ∼ 20,000deg2) to a depth 30 times fainter than 2MASS/DENIS in at least two wavebands (J and Ks), with a minimum exposure time of 60 seconds per waveband and a median 5σ point source depth of AB = 20.8 and 20.0 in J and Ks wavebands respectively. In the South Galactic Cap, around 4500 deg2 is being imaged deeper with an exposure time per coadded image of 120–240 seconds in J, 120 seconds in Ks and partial coverage in H band with an exposure time of 120 seconds, producing median 5σ point limits of AB = 21.4, 20.7 and 20.3 in J, H and Ks respectively. In this 4500 deg2 region of sky deep multi-band optical (grizY) imaging data is being provided by the Dark Energy Survey (DES). The remainder of the high galactic latitude (|b| &gt; 30◦) sky is being imaged in Y, J, Ks for 60–120 sec per band with median 5σ point source limits of AB = 21.1, 20.8 and 20.0 and partial coverage in H with a median 5σ point source limit of 20.3. This region is being imaged in the optical wavebands (ugriz) by the the VST ATLAS survey. The median 5σ point source depths for the total survey area coadd images in this data release is AB=21.1, 20.8, 20.5, 20.0 in Y, J, H and Ks wavebands respectively.
description: This is a dynamic dataset; it is growing as new data is added. The DOI refers to the newest available dataset.
DOI: 10.3886/e169501v1
title: Code for: Posterior Separable Cost of Information

description: We provide testable conditions under which the cost of acquiring information is given by the expected reduction of a measure of uncertainty (e.g., entropy). The assumption, under the name of posterior separability, is nearly universal in the literature of rational inattention; yet, a testable characterization has been lacking. In applications to experimental data, we indicate situations in which posterior separability is—and is not—a compelling assumption for the cost of information; we propose a generalization to address some of its shortcomings. We also show how to identify and estimate non-parametrically the cost of information from observable choice behavior.
DOI: 10.3886/icpsr07696.v1
title: Quality of Employment Survey, 1973-1977: Panel
title: Version 1

description: This study contains data on the working conditions of 1,455 workers aged 16 and older who were working for pay for 20 or more hours per week in the United States in the period 1973-1977. This survey is a panel study version of the cross-section study, QUALITY OF EMPLOYMENT SURVEY, 1977: CROSS-SECTION (ICPSR 7689). The surveys were undertaken by the investigators to provide an overview of working conditions in the American labor force. The aims of these surveys and many of the questions that were asked were comparable to those of the related collections, SURVEY OF WORKING CONDITIONS, 1969-1970 (ICPSR 3507), and QUALITY OF EMPLOYMENT SURVEY, 1972-1973 (ICPSR 3510). The major measures used in each of the four surveys were the frequency and severity of labor standards problems, the quality of employment indicators that were shown to be predictors of job satisfaction, the job satisfaction indices themselves, and the ratings of important job facets. Respondents were asked questions about many facets of their job situations and other areas of their lives that might be affected by their jobs in order to assess the impact of work on them. Questions included job tension, security, physical health, job satisfaction, and financial well-being. A series of questions regarding job expectations was also asked. Additional questions probed respondents' feelings about their overall contentment with their jobs and with life in general. Other variables probed respondents' feelings about their work culture, physical work environment, discrimination at work, job fringe benefits, and labor unions, as well as child care provisions, nature of time spent with children and spouse, use of leisure time, and electoral participation. Demographic variables provide information on age, sex, marital status, race, place of birth, education, and income.
description: Datasets: DS1: Quality of Employment Survey, 1973-1977: Panel
description: A national probability sample of 1,455 currently employed workers aged 16 and older who were working for pay for 20 or more hours per week in the United States in the period 1973-1977.
description: (1) This panel study version of the survey includes data on all respondents from the 1973 survey and those respondents who were reinterviewed in the 1977 survey. Noninterviews in 1977 are assigned missing data for all 1977 variables except 1977 sampling information, which is indicated for both respondents and non-respondents. (2) The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.
DOI: 10.3886/icpsr32562.v1
title: National Incident-Based Reporting System, 2009: Extract Files
title: NIBRS, 2009
title: Version 1

description: The National Incident-Based Reporting System (NIBRS) is a
part of the Uniform Crime Reporting Program (UCR), administered by the
Federal Bureau of Investigation (FBI). The extract files version of
NIBRS was created to simplify working with NIBRS data. Data management
issues with NIBRS are significant, especially when two or more segment
levels are being merged. These issues require skills separate from
data analysis. NIBRS data as formatted by the FBI are stored in a
single file. These data are organized by various segment levels
(record types). There are six main segment levels: administrative,
offense, property, victim, offender, and arrestee. Each segment level
has a different length and layout. There are other segment levels that
occur with less frequency than the six main levels. Significant
computing resources are necessary to work with the data in its
single-file format. In addition, the user must be sophisticated in
working with data in complex file types. For these reasons and the
desire to facilitate the use of NIBRS data, ICPSR created the extract
files. The data are not a representative sample of crime in the United
States.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of 
				disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major 
				statistical software formats as well as standard codebooks to accompany the data. In addition to 
				these procedures, ICPSR performed the following processing steps for this data collection:
			   		Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Incident-Level File
						DS2: Victim-Level File
						DS3: Offender-Level File
						DS4: Arrestee-Level File
description: National Incident-Based Reporting System (NIBRS) Series
description: self-enumerated questionnaire
description: Law enforcement agencies in the United States
participating in the National Incident-Based Reporting System.
				   		Smallest Geographic Unit: city
DOI: 10.3886/icpsr33601.v1
title: National Incident-Based Reporting System, 2010: Extract Files
title: NIBRS, 2010
title: Version 1

description: The National Incident-Based Reporting System (NIBRS) is a
part of the Uniform Crime Reporting Program (UCR), administered by the
Federal Bureau of Investigation (FBI). The extract files version of
NIBRS was created to simplify working with NIBRS data. Data management
issues with NIBRS are significant, especially when two or more segment
levels are being merged. These issues require skills separate from
data analysis. NIBRS data as formatted by the FBI are stored in a
single file. These data are organized by various segment levels
(record types). There are six main segment levels: administrative,
offense, property, victim, offender, and arrestee. Each segment level
has a different length and layout. There are other segment levels that
occur with less frequency than the six main levels. Significant
computing resources are necessary to work with the data in its
single-file format. In addition, the user must be sophisticated in
working with data in complex file types. For these reasons and the
desire to facilitate the use of NIBRS data, ICPSR created the extract
files. The data are not a representative sample of crime in the United
States.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of 
				disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major 
				statistical software formats as well as standard codebooks to accompany the data. In addition to 
				these procedures, ICPSR performed the following processing steps for this data collection:
			   		Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Incident-Level File
						DS2: Victim-Level File
						DS3: Offender-Level File
						DS4: Arrestee-Level File
description: National Incident-Based Reporting System (NIBRS) Series
description: record abstracts
description: Law enforcement agencies in the United States
participating in the National Incident-Based Reporting System.
				   		Smallest Geographic Unit: city
DOI: 10.3886/icpsr34603.v1
title: National Incident-Based Reporting System, 2011: Extract Files
title: NIBRS, 2011
title: Version 1

description: The National Incident-Based Reporting System (NIBRS) is a
part of the Uniform Crime Reporting Program (UCR), administered by the
Federal Bureau of Investigation (FBI). The extract files version of
NIBRS was created to simplify working with NIBRS data. Data management
issues with NIBRS are significant, especially when two or more segment
levels are being merged. These issues require skills separate from
data analysis. NIBRS data as formatted by the FBI are stored in a
single file. These data are organized by various segment levels
(record types). There are six main segment levels: administrative,
offense, property, victim, offender, and arrestee. Each segment level
has a different length and layout. There are other segment levels that
occur with less frequency than the six main levels. Significant
computing resources are necessary to work with the data in its
single-file format. In addition, the user must be sophisticated in
working with data in complex file types. For these reasons and the
desire to facilitate the use of NIBRS data, ICPSR created the extract
files. The data are not a representative sample of crime in the United
States.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of 
				disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major 
				statistical software formats as well as standard codebooks to accompany the data. In addition to 
				these procedures, ICPSR performed the following processing steps for this data collection:
			   		Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Datasets: 
					
						DS0: Study-Level Files
						DS1: Incident-Level File
						DS2: Victim-Level File
						DS3: Offender-Level File
						DS4: Arrestee-Level File
description: National Incident-Based Reporting System (NIBRS) Series
description: record abstracts
description: Law enforcement agencies in the United States
participating in the National Incident-Based Reporting System.
				   		Smallest Geographic Unit: city
DOI: 10.5255/ukda-sn-854374
title: Cross-sectional survey data of adolescent sexual and reproductive health in Nigeria 2018
DOI: 10.5281/zenodo.10559443
title: Supplementary Information for "Biocatalytic Ether Lipid Synthesis by an Archaeal Glycerolprenylase" - Experimental Data

description: This is the external Supplementary Information for our publication "Biocatalytic Ether Lipid Synthesis by an Archaeal Glycerolprenylase", freely available as a preprint from ChemRxiv (https://doi.org/10.26434/chemrxiv-2024-2lmv8-v2) and as a peer-reviewed publication from Angewandte Chemie (https://doi.org/10.1002/anie.202412597).

The .zip files contain the raw data and metadata for all items (supplementary and main text) as well as the calculation results underlying each figure panel. This includes UV, fluorescence and NMR data. The zip files below also contain the ChimeraX session used to prepare all figure panels, the results of crystallization screens and reports on all MPLC runs used for the purification of pyrophosphate substrates. The NMR data for the synthesized compounds are described in the un-zipped metadata sheet which is separately stored below.

The computational results contributed by Sangwar Wadtey Oung are stored in a separate zenodo entry (https://zenodo.org/doi/10.5281/zenodo.10635216).

This work was enabled by our previous studies on continuous reaction monitoring of phosphate-releasing transformations (https://doi.org/10.1021/acs.analchem.1c05356), which itself builds on principles of spectral unmixing (https://doi.org/10.1002/cbic.202000204), isosbestic normalization (https://doi.org/10.1002/cbic.202200744) and thermodynamic reaction control in enzymatic equilibrium systems (https://doi.org/10.1021/acscatal.1c02589 & https://doi.org/10.1002/anie.202218492 & https://doi.org/10.1002/adsc.201901230).
DOI: 10.5281/zenodo.10775647
title: Global estimates of particulate organic carbon from the surface ocean to the base of the mesopelagic

description: Processed data files from the draft manuscript entitled "Global estimates of particulate organic carbon from the surface ocean to the base of the mesopelagic"