cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28777946
title: Supplementary Material for: Quality of Life after Deep Brain Stimulation: A primary versus secondary dystonia comparative study

description: Introduction. Generalized dystonia is a motor disorder causing major limitations in daily living activities. Deep brain stimulation (DBS) is an established therapy for primary disorders, but its efficacy in secondary ones remains variable. Although quality of life (QoL) assessment is crucial in disabling conditions to understand the comprehensive impact of surgical treatment on daily life, the available questionnaires are not well adapted. 
Methods. Herein, QoL after DBS was evaluated using a “homemade” scale. The DBS-QoL scale is a new questionnaire specifically designed for generalized dystonia patients. 
Results. Twenty-one DYT1 patients and 40 cerebral palsy patients underwent GPi-DBS during the inclusion period. Clinical improvement was measured using the BFMDRS and compared to QoL evolution using the DBS-QoL. We identified a significant positive impact of DBS on motor and functional aspects for both groups, with superior gains in DYT1 patients. In this group, we found significant improvement in functional aspects, whereas in perinatal hypoxic patients, the opposite trend was reported, with better satisfaction in terms of wellbeing. Across both etiologies, patients expressed satisfaction with the surgical outcomes (83%).
Conclusion. QoL assessment, using a dedicated scale, was shown to complement BFMDRS, enhancing the detection of subtle symptom improvements in DBS-treated patients.
DOI: 10.6084/m9.figshare.28783046
title: Supplementary Material for: Non-High-Density Lipoprotein to High-Density Lipoprotein Cholesterol Ratio as a Predictive Biomarker for Diabetic Retinopathy Risk: A Population-Based Analysis of U.S. Adults

description: Background: Diabetic retinopathy (DR) is a severe complication of diabetes, and lipid imbalances play a key role in its progression. The non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) has been identified as a predictor of cardiovascular diseases, but its link to DR remains unclear.
Objective: This study aims to assess the association between NHHR and DR risk in diabetic patients.
Methods: Data from the 2005–2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. Multivariate logistic regression models were used to evaluate the relationship between NHHR and DR. Non-linear associations were assessed using restricted cubic spline analysis.
Results: Of the 4,935 participants, 1,193 had DR. Higher NHHR was strongly associated with increased DR risk. Each unit rise in NHHR increased the risk by 19% (OR = 1.19, 95% CI: 1.07–1.31, P &lt; 0.05). In quartile analysis, participants in the highest NHHR quartile had nearly double the risk of DR compared to those in the lowest quartile (OR = 1.84, 95% CI: 1.62–2.06, P &lt; 0.001). Subgroup analysis showed this association was consistent across different demographic groups, including age, gender, BMI, and smoking status.
Conclusion: NHHR is significantly linked to DR risk in diabetic patients and may be a valuable biomarker for early detection and prevention strategies in clinical settings.
DOI: 10.24381/cds.181d637e
title: Seasonal forecast daily and subdaily data on single levels
DOI: 10.5281/zenodo.14270835
title: Seasonal energy drought data

description: This record contains data to accompany the paper Bracken et al., Seasonal compound renewable energy droughts in the Unites States, Submitted to Applied Energy, Dec, 2024.

 



ba_solar_wind_hydro_monthly_1982_2019.csv - Coincident monthly wind, solar, and hydropower generation data

droughts.zip - Seasonal compound energy drought data

case-study.zip - Data and results from the PCM case study

gridview-inputs-wecc-seasonal-drought-events.zip - GridView input data used in the PCM case study

meteo_composite_data.zip - Meteorolgical data used in the composite analysis


Please see the code repository for more information about how to use this data and reproduce the figures in the paper.
DOI: 10.12686/sed-00000001-share
title: Seismic Hazard Harmonization in Europe (SHARE): Online Data Resource
DOI: 10.1594/pangaea.930023
title: Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/1

description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/1. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
description: We thank Franziska Nehring (Fielax) for the processing of the data. We acknowledge the support of Winfried Markert and Olaf Hüttebräucker (Laeisz) for maintenance of the instruments on board. We appreciate the help of the PANGAEA team for their help in archiving the dataset.
DOI: 10.1594/pangaea.930024
title: Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/2

description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/2. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
description: We thank Franziska Nehring (Fielax) for the processing of the data. We acknowledge the support of Winfried Markert and Olaf Hüttebräucker (Laeisz) for maintenance of the instruments on board. We appreciate the help of the PANGAEA team for their help in archiving the dataset.
DOI: 10.1594/pangaea.930026
title: Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/3

description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/3. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
description: We thank Franziska Nehring (Fielax) for the processing of the data. We acknowledge the support of Winfried Markert and Olaf Hüttebräucker (Laeisz) for maintenance of the instruments on board. We appreciate the help of the PANGAEA team for their help in archiving the dataset.
DOI: 10.1594/pangaea.930027
title: Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/4

description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/4. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
description: We thank Franziska Nehring (Fielax) for the processing of the data. We acknowledge the support of Winfried Markert and Olaf Hüttebräucker (Laeisz) for maintenance of the instruments on board. We appreciate the help of the PANGAEA team for their help in archiving the dataset.
DOI: 10.1594/pangaea.930028
title: Continuous thermosalinograph oceanography along RV POLARSTERN cruise track PS122/5

description: Raw data acquired by two thermosalinographs (SBE21, SeaBird GmbH) on board RV Polarstern were processed to yield a calibrated and validated data set of temperature, conductivity and salinity during expedition PS122/5. Both sensors were equipped with a more accurate external temperature sensor (SBE38, Sea-Bird GmbH). Data were downloaded from the DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. The raw hex data were converted to temperature and conductivity while a sensor drift correction was applied using calibration coefficients from before and after the expedition. Salinity was calculated according to the instructions from the Practical Salinity Scale PSS-78, using the obtained (internal) temperature and conductivity data and a pressure of 11 dbar which represents the water depth of the inlet of the TSG system on Polarstern. Processed data are provided as 10min means of salinity and water temperature aligned with position data taken from master track of the respective cruise. A speed filter was not applied to the PS122 dataset because of the slow drift speed. This slow movement may lead to an overestimation of the mixed-layer temperature; in particular, small heat fluxes from the ship may raise the temperature in adjacent water in the lee, i.e. during times of drift in the direction opposite to the TSG inlet. The effect is expected to be small, but can potentially be higher than the accuracy of the temperature measurement. Further details and evaluation of the data is outlined in the data processing report found at the EPIC repository under URL (https://hdl.handle.net/10013/epic.7fffb528-06bd-48ae-8489-cea0444c4eab).
description: We thank Franziska Nehring (Fielax) for the processing of the data. We acknowledge the support of Winfried Markert and Olaf Hüttebräucker (Laeisz) for maintenance of the instruments on board. We appreciate the help of the PANGAEA team for their help in archiving the dataset.
DOI: 10.1594/pangaea.948291
title: Stable water isotopes of underway seawater during MOSAiC expedition

description: Underway seawater samples have been taken from underneath the research vessel Polarstern through a pipe installed on the ship. The valve had been open for about 2 minutes before collecting the samples to avoid possible contaminations. Water samples for measurement of stable water isotopes (δ18O, δD,) were collected in narrow-mouth low-density polyethylene 20- or 30-mL plastic bottles (VWR international LLC, Germany), sealed with Parafilm M and stored at +4 °C from the end of the expedition until the measurement. Average daily salinity values were extracted from dship portal (https://dship.awi.de/). Oxygen and hydrogen isotope analyses were carried out at the ISOLAB Facility at AWI Potsdam (https://hdl.handle.net/10013/sensor.ddc92f54-4c63-492d-81c7-696260694001) with mass spectrometers (DELTA-S Finnigan MAT, USA): https://hdl.handle.net/10013/sensor.af148dea-fe65-4c87-9744-50dc4c81f7c9 https://hdl.handle.net/10013/sensor.62e86761-9fae-4f12-9c10-9b245028ea4c employing the equilibration method (details in Meyer et al., 2000). δ18O and δD values were given in per mil (‰) vs. Vienna standard mean ocean water (V-SMOW) as the standard. The second order parameter d excess was computed according to: d excess = δD-8 δ18O (Dansgaard, 1964).
DOI: 10.17632/bzb9byx8g8.1
title: BoltzTraP2, a program for interpolating band structures and calculating semi-classical transport coefficients

description: BoltzTraP2 is a software package for calculating a smoothed Fourier expression of periodic functions and the Onsager transport coefficients for extended systems using the linearized Boltzmann transport equation. It uses only the band and k-dependent quasi-particle energies, as well as the intra-band optical matrix elements and scattering rates, as input. The code can be used via a command-line interface and/or as a Python module. It is tested and illustrated on a simple parabolic band example as well as silicon. The positive Seebeck coefficient of lithium is reproduced in an example of going beyond the constant relaxation time approximation.
DOI: 10.17632/z3hpw6jdv6.1
title: Data from: “Long-range transport of terrestrial particulate organic carbon to the open ocean by sediment resuspension revealed by δ13C and 234Th tracers”

description: Th-234 activities, particulate organic carbon (POC) concentrations, and stable carbon isotope ratios of POC in the southern coastal region of Korea
DOI: 10.17909/5h64-g193
title: Data from EPOCHS II: UV LF

description: The post-peer review data set used in the UV LF measurements presented in Adams et al 2024.
DOI: 10.24381/cds.622a565a
title: CERRA sub-daily regional reanalysis data for Europe on single levels from 1984 to present
DOI: 10.25522/manifesto.mpds.2024a
title: Manifesto Project Dataset

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center. In November 2022 the Manifesto Project has found a second home at the IfDem – Institute for Democracy Research Göttingen (University of Göttingen).
description: Content coding
DOI: 10.26033/j3xc-3359
title: Asteroid Lightcurve Database (LCDB) Bundle V4.0

description: The asteroid lightcurve database (LCDB) is one of the more widely-used research tools for those doing research that compares and contrasts physical characteristics of asteroid spin axis rates, sizes, pole orientations, and/or taxonomic class - among others. The V4.0 release includes lightcurve photometry results for 0 targets. Each object has one to several dozen detailed records that contain results obtained by reviewing the literature.
DOI: 10.5066/p14btjr3
title: Site information and compound concentrations for 15 Iowa streams, 2021

description: Microplastics, per- and polyfluoroalkyl substances (PFAS), antibiotic resistance genes (ARGs), pharmaceuticals and personal care products (PPCPs), and pesticides cause unintentional environmental contamination through many pathways in multiple matrices. This statewide, multi-matrix study examined multiple contaminants of global concern (CGCs) in water, bed sediment, and fish to understand their occurrence in small streams located in regions of intense agriculture activity across Iowa (United States). Fifteen sites were sampled across a range of predominant land uses (e.g., poultry, swine); all sites had detections of microplastics in all matrices. PFAS concentrations varied but were detected in water and sediment; all fish had detections of Perfluorooctanesulfonate (PFOS). ARGs were detected in more than 50 percent of water and bed sediment samples and metformin was the most frequently detected PPCP.
DOI: 10.5066/p1afjx8m
title: Suspended-sediment concentration and grain size in the San Lorenzo River, coastal California

description: Water samples were collected from the San Lorenzo River, Santa Cruz, California, and analyzed for suspended-sediment concentration and sand break (proportion of sand vs. silt-plus-clay) at the U.S. Geological Survey (USGS) laboratory in Santa Cruz, California. The samples were all single-vertical samples collected from the thalweg of the river, using a D-95 sampler deployed from a bridge box at a pedestrian bridge across the river in downtown Santa Cruz. All samples were collected from that location: 36.97565, -122.02322. The USGS acknowledges sampling permission granted by the city of Santa Cruz. Sediment concentrations and sand-break data are presented for use alongside stream-flow data collected by the USGS at gaging station 11161000, “San Lorenzo River at Santa Cruz”. The discharge data for gaging station 11161000 are separately accessible at https://waterdata.usgs.gov/ca/nwis/uv/?site_no=11161000. The discharge values associated with the suspended-sediment sampling reported here are provided so that users may easily reproduce the sediment rating curve.

This data release is related to two earlier products. This data release does not supersede the two earlier products because those also contain geochemical information. This data release contains suspended-sediment concentration and sand break data for samples mentioned in the two earlier products, and includes a longer measurement time frame. The two earlier products are:

Draut, A.E., Conaway, C.H., Echols, K.R., Storlazzi, C.D., and Ritchie, A., 2011, Suspended sediment and organic
contaminants in the San Lorenzo River, California, water years 2009–2010: U.S. Geological Survey Open-File
Report 2011-1120, 24 p. and data tables [https://pubs.usgs.gov/of/2011/1120/]

and

Campbell, P.L., East, A.E., Conaway, C.H., 2022, Polycyclic aromatic hydrocarbons (PAHs) and suspended sediment concentrations in the San Lorenzo River, Santa Cruz, California, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P9GB8YSZ.
DOI: 10.5281/zenodo.14136249
title: Publications supported by ELIXIR and ELIXIR Italy (during the periods 2011-2023 and 2015-2023)

description: Publications supported by ELIXIR and ELIXIR Italy (during the periods 2011-2023 and 2015-2023), retrieved from EuropePMC (Datasome) and curated by ELIXIR Hub and ELIXIR Italy.