cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28238825
title: Supplementary Material for: Significant Dry Weight Reduction After Transition from Peritoneal Dialysis to Hemodialysis

description: Background
Dry weight management in dialysis patients is crucial but often subjective, primarily based on symptoms. Due to continuous fluid removal in peritoneal dialysis (PD) and intermittent ultrafiltration in hemodialysis (HD), symptom-based assessments may be biased, leading to varying results. Surprisingly, no direct comparison of dry weight changes between PD and HD has been conducted. This study aims to evaluate the impact of transitioning from PD to HD on body weight and related clinical parameters.
Methods
This retrospective cohort study included 127 stable PD patients who transitioned to HD. Changes in body weight, echocardiographic parameters, albumin, and hemoglobin levels were analyzed over a one-year period post-transition.
Results
The mean patient age was 57.1 ± 15.5 years, with an average PD vintage of 5.8 ± 4.9 years. Most patients had hypertension. After transitioning to HD, body weight decreased significantly, with a reduction of -2.8 kg at one month, -5.3 kg at three months, and -7.5 kg one year post-transition. Echocardiographic parameters showed no significant changes. However, serum albumin and hemoglobin levels increased slightly but significantly after the transition, and the number of antihypertensive medications was also reduced.
Conclusion
The transition from PD to HD results in significant reductions in body weight. These findings underscore the often-overlooked issue of fluid overload in PD patients and its potential impact on patient outcomes.
DOI: 10.17026/dans-znj-wyg5
title: Twelve years profile soil moisture and temperature measurements in Twente, the Netherlands

description: The Twente region in the east of the Netherlands hold a network that monitors since 2009 profile soil moisture and temperature at twenty locations mostly in the rural environment. In addition, intensive measurement campaigns have been performed in 2009, 2015, 2016, and 2017 at number of measurement locations as a part of MSc and PhD research. The development of the network infrastructure has been supported through various EU and NWO-funded projects, and forthcoming data has been successfully used for the validation of satellite derived surface soil moisture products. The early development of the network has been described in Dente et al. (2011), but over the years the design of the network has altered considerably with the most recent updates documented in Van der Velde et al. (2021). In 2019, the Twente network has been operational for more than a decade and with this deposit we would like to make this data freely and well documented available for use by the science and professional communities. An accompanying data paper is under development and will be submitted to Earth System Science Data journal, which provide additional background information.
DOI: 10.17632/4vyb67d4vw.2
title: Quantifying magma water contents constrain a new entrainment model for charnockite formation

description: This database contains the zircon Hf-O isotopic data, SIMS water content, Raman results, major minerals chemical compositions, bulk-rock major and trace compositions, from the Gaozhou charnockite-granite association in Yunkai terrane, South China, along with compilations including the ages of early Paleozoic granitoids and metamorphic rocks in the Yunkai terrane, and peak P-T conditions of high-grade metamorphic rocks in the Wuyi-Yunkai orogen.
DOI: 10.17632/khpwng8thh.1
title: Dynamic Tactile Data of Textures On Uneven Surfaces

description: This dataset provides tactile sensor data captured using an a multi-modal tactile sensing (BioIn-Tacto [1, 2]) module mounted on the end-effector of a OpenManipulatorX. It includes barometric and MARG (Magnetic, Angular Rate, and Gravity) data to support research in texture recognition and robotic manipulation. The data was collected as the manipulator moved the sensing module across 12 different textures applied to a concave/convex surface.

The data is organized into folders representing various stages of processing:

Data/
├── 0_Raw
├── 1_Merged
├── 2_Trimmed
├── 3_Normalized
└── 4_Windowed

- 0_Raw: Raw data for 12 textures (T1 to T12), with 25 exploratory movements per texture.
- 1_Merged: Merged barometric and IMU data.
- 2_Trimmed: Preprocessed and trimmed data.
- 3_Normalized: Normalized data for consistency.
- 4_Windowed: Data segmented into windows for analysis.

Each exploratory movement contains the following files:
- `baro.csv`: Barometric data.
- `imus.csv`: IMU data (acceleration, angular rate, and magnetic field).

The `Scripts` folder includes tools for automating data preprocessing:

Scripts/
├── merge.py
├── trim.py
├── normalize.py
├── window_creator.py
├── npy_creator.py
└── run.sh

- merge.py: Merges barometric and IMU data.
- trim.py: Trims data based on predefined points.
- normalize.py: Normalizes data for consistency.
- window_creator.py: Segments data into windows.
- npy_creator.py: Converts CSV data into `.npy` format for machine learning.
- run.sh: Automates the entire data preprocessing pipeline. It sequentially runs the following steps:
 1. Merges barometric and IMU data from the raw data directory (`merge.py`).
 2. Trims the merged data based on predefined points stored in `trim_points.json` (`trim.py`).
 3. Normalizes the trimmed data for consistency (`normalize.py`).
 4. Segments the normalized data into windows of varying sizes (`window_creator.py`).
 5. Converts the windowed data into `.npy` format for machine learning models with window sizes of 128, 256, and 512 (`npy_creator.py`).

[1] T. E. Alves de Oliveira, A. -M. Cretu and E. M. Petriu, "Multimodal Bio-Inspired Tactile Sensing Module," in IEEE Sensors Journal, vol. 17, no. 11, pp. 3231-3243, 1 June1, 2017, https://doi.org/10.1109/JSEN.2017.2690898. 
[2] T. E. Alves de Oliveira, V. Prado da Fonseca, BioIn-Tacto: A compliant multi-modal tactile sensing module for robotic tasks, HardwareX, Volume 16, 2023, e00478, ISSN 2468-0672, https://doi.org/10.1016/j.ohx.2023.e00478.
DOI: 10.17863/cam.26433
title: Sector and occupation classification data download for "Business sectors, occupations and aggregations of census data 1851-1911"

description: This data download gives a spreadsheet gives the occupation classification described in R.J. Bennett, H. Smith, C. van Lieshout and G. Newton, ‘Business sectors, occupations and aggregations of census data, 1851–1911’ (2017), Working Paper 5, ESRC project ES/M0010953L, ‘Drivers of entrepreneurship and small businesses’, https://doi.org/10. 17863/CAM.9874. See working paper for definitions and discussion of the classifications for PST (2017 version) and SIC (2007 version).
DOI: 10.26179/7mnh-j215
title: Ice-free Antarctica - A union of rock outcrop layers derived from imagery collected from 1960-2020
DOI: 10.48436/1k7aj-bdz35
title: VODCA2GPP

description: The data descriptor paper can be accessed here: https://doi.org/10.5194/essd-14-1063-2022
----------------------------------------------------------------------------------------------------------------------------------------------------------------------
Gross Primary Productivity (GPP) describes the amount of carbohydrates that is produced by vegetation's synthesis of CO2 and is therefore crucial in the assessment of the global carbon cycle. VODCA2GPP represents the first microwave remote sensing derived GPP dataset and covers the period between 1988-2020. The data is sampled on a regular 0.25°x 0.25° grid and is based on the novel sink-driven GPP estimation approach introduced by Teubner et al. (2019) and Teubner et al. (2021). It utilizes the new merged-frequency Vegetation Optical Depth Climate Archive (VODCA CXKu; Zotta et al., in preparation) in combination with ERA5-Land air temperature data to produce a coherent long-term data record of global GPP. 
The dataset also includes an uncertainty metric (var_name: 'Uncertainties') which indicates regions where VODCA2GPP estimates tend to be less robust. We advise users to take these uncertainties into account when analyzing the VODCA2GPP data. 
For more details concerning the production of VODCA2GPP and its accuracy assessment please be referred to our dataset paper which was published in Earth System Science Data Wild et al. (2022).
DOI: 10.5067/mxjl42wsxts1
title: DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures, Version 6
DOI: 10.5281/zenodo.10951600
title: Response to Sea Surface Temperature and Primary Productivity to change in Earth's Orbit Eccentricity - Simulations

description: This dataset contains ocean and ocean biogeochemistry outputs from modeling experiments with present-day geography and various Earth's orbit confiurations. The set of simulation targets the role of Eccentricity on the tropical ocean sea surface temperature and primary productivity (Beaufort & Sarr, 2024) . The simulations have been run using the IPSL-CM5A2 General Circulation Model (Sepulchre et al. 2020 - IPSL-CM5A2 – an Earth system model designed formulti-millennial climate simulations, GMD) and offline version of PISCESv2 model (Aumont et al., 2015 - PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies, GMD). It includes 4 simulations. Data are monthly averages over the last 100 years of the simulations.

Complementary outputs (4 simulations) can be found at https://www.seanoe.org/data/00728/84031/ (Beaufort et al., 2022)
DOI: 10.5281/zenodo.1476555
title: Enhanced Wikifonia Leadsheet Dataset

description: EWLD (Enhanced Wikifonia Leadsheet Dataset) is a music lead sheet dataset with more than 5.000 scores that comes with a lot of metadata about composers, works, lyrics, and features. It is designed for musicological and research purposes. A Public Domain version, named OpenEWLD, is available at https://github.com/00sapo/OpenEWLD. You can find an in-deep discussion in my Master Thesis. Request access through Zenodo (click on the "request access" button below) and provide the following information: Name and Surname(s) Institution Role in the institution The sentence "The data will never be used for commercial and/or profit purposes by me or other people I will give the data to." One line to explain the research project --- Please, use the following paper as reference: Simonetta, Federico, Carnovalini, Filippo, Orio, Nicola, & Rodà, Antonio. (2018). Symbolic Music Similarity Through a Graph-Based Representation. In Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion (pp. 26:1–26:7). New York, NY, USA: ACM. http://doi.org/10.1145/3243274.3243301 --- For further info, see my MS Thesis: F. Simonetta, “Graph based representation of the music symbolic level. A music information retrieval application”, Università di Padova, 2018. Zenodo link: https://zenodo.org/record/1476564
description: {"references": ["Simonetta, Federico, Carnovalini, Filippo, Orio, Nicola, & Rod\u00e0, Antonio. (2018). Symbolic Music Similarity Through a Graph-Based Representation. In Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion (pp. 26:1\u201326:7). New York, NY, USA: ACM. http://doi.org/10.1145/3243274.3243301"]}
DOI: 10.5281/zenodo.4539986
title: Modelled runoff in contrasting Alpine catchments in Austria

description: GENERAL INFORMATION

The datasets were generated using the hydrological model from https://github.com/sarah-hanus/hbv-mountain.

The datasets are used for the analysis presented in the following paper: https://doi.org/10.5194/hess-25-3429-2021

This directory contains runoff simulations and melt contribution simulations of six Austrian catchments (Feistritztal, Paltental, Gailtal, Silbertal, Defreggental and Pitztal) from 14 climate models for 2 emission scenarios for a 30-year timeperiod in the past and at the end of the 21st century.



When using this dataset, please refer to the original publication in addition to this Zenodo repository.

Hanus, S., Hrachowitz, M., Zekollari, H., Schoups, G., Vizcaino, M., and Kaitna, R.: Future changes in annual, seasonal and monthly runoff signatures in contrasting Alpine catchments in Austria, Hydrol. Earth Syst. Sci., 25, 3429–3453, https://doi.org/10.5194/hess-25-3429-2021, 2021.


 

DATA & FILE OVERVIEW

The data is sorted by RCP (4.5 & 8.5) and by climate model used (in total 14 models per RCP).

*_past_2010.csv refers for data for the timeseries 1981-2010

*_future_2100.csv refers to data at the end of the 21st century. Due to inconsistencies in timeseries for climate models at end of the 21 st century the timeseries varies from 2069-2098 to 2071-2100 (see files timeseries_future_2100 in each directory).

The rows of the files is output from different parameter sets (total 300), the columns define the day as mentioned in the timeseries_*.txt files

Units:discharge data: m³/ssnow melt contribution: mm/d
DOI: 10.5281/zenodo.5497704
title: Data used in manuscript Carbon sequestration potential of street tree plantings in Helsinki

description: Data and model runs used in manuscript "Carbon sequestration potential of street tree plantings in Helsinki". This data set includes model runs for the Surface Urban Energy and Water balance Scheme (SUEWS) and soil carbon model Yasso. <br> The data files are: <strong>Met_Gapfilling</strong> ConvertMeteorologyInput.m (MATLAB) is the main file and functions gapfilling.m (with other measurements) and gapfillingfill.m (with interpolations) are used in the gap filling Includes files for meteorological measurement data Airport: Data from Helsinki-Vantaa airport; airportdata.m, where data is cleaned Precipitation: Data from multiple locations; Pres_Gap.m for gap filling precipitation and function PrecipitationGap.m Roof: Data from rooftop SMEARIII: Monthly meteorological data from Kumpula (2003-2016) SUEWS_met file for the final gap filled meteorological files for SUEWS <strong>Fits</strong> Includes FitCO2_parameter.m for fitting CO2 parameters for SUEWS Includes functions Pho6.m and Resp0.m that have the function forms Includes data files for measurement data CO2Data: Canopy photosynthesis and canopy respiration estimated with SPP model (KumpulaX.out for Tilia site and Kumpula2X.out for Alnus site) Met_2016: Meteorology from Kumpula for June to August in 2016 SWCdata: Soil water content from two streets and three soil types <strong>ModelRuns</strong> SUEWS model runs separately for Alnus and Tilia sites Includes input and output files and model codes Alnus site includes both the Baserun and Finalrun Yasso model runs Model run in file yasso.f90 Output files: DecRate...txt includes three soil types and values for each month from 2002 to 2016 Yasso_meteorology_month.m creates meteorological input files for Yasso (Clim_month_xx.txt) using meteorology from SUEWS <strong>FigCodes</strong> Includes MATLAB codes for figures and statistics Includes measurement data for CO2, sap flow and SWC
DOI: 10.5281/zenodo.5787518
title: Representing surface heterogeneity in land-atmosphere coupling in E3SMv1 single-column model over ARM SGP during summertime - E3SM SCM data and code

description: This dataset contains post-processed E3SM single-column model output and code used to produce the figures in the manuscript that we are targeting Geoscientific Model Development to submit.
DOI: 10.5281/zenodo.6631963
title: Inconsistent mass balance relationships in Central Asia

description: These are the files to reproduce the results of the manuscript "Inconsistencies in Central Asia's spatio-temporal glacier response: On issues about meteorological and mass balance estimates, and regional simplifications" submitted to The Cryosphere Discussions.
DOI: 10.5281/zenodo.7387566
title: Global zircon U-Th-Pb geochronology database

description: We present here a database of zircon U−Th−Pb geochronology, which samples the global continental crust and spans nearly the entire Earth's history. This database collects ~2,000,000 geochronology records from ~12,000 papers and theses over a period exceeding 50 years and is by far the largest geochronology database to our knowledge. The lithology of the host rock of the zircon samples includes sedimentary, igneous, and metamorphic rocks. The source references are from the following academic publishers: Elsevier, Cambridge, Geological Society of London, Oxford, Springer, Taylor & Francis, Wiley, and China National Knowledge Infrastructure (CNKI). Here, the zircon data compilation contains "Database" files and a "References" file. The "Database" files contain about two million zircon U−Th−Pb dating records, including four isotope ratios (206Pb/238U, 207Pb/235U, 207Pb/206Pb, and 208Pb/232Th) and errors, four corresponding ages and errors, as well as sample information, dating instrument, dating reference material, host rock lithology, sampling location, and reference number. The "References" file contains the information of the source references corresponding to zircon geochronology records, including reference number, author, year, and other publication information. For each record in the "Database" files, its reference can be found in the "References" file through the reference number. This collection not only provides us with a comprehensive platform to study zircon chronological data in deep time and space but also makes it possible to explore the underlying geodynamic mechanism and the evolution of the Earth system.
 
This database is a supplement to the following article:
Wu, Y., Fang, X., & Ji, J. (2023). A global zircon U–Th–Pb geochronological database. Earth Syst. Sci. Data, 15(11), 5171-5181. https://doi.org/10.5194/essd-15-5171-2023
description: Files descriptions:
1) Database_v2.1_part1.xlsx: the first part of the zircon U−Th−Pb geochronology database. This database contains the following fields: 
Data_number, Ref_number, Sample_number, isotope206Pb/238U, isotope206Pb/238U_σ, isotope207Pb/235U, isotope207Pb/235U_σ, isotope207Pb/206Pb, isotope207Pb/206Pb_σ, isotope208Pb/232Th, isotope208Pb/232Th_σ, age206Pb/238U, age206Pb/238U_σ, age207Pb/235U, age207Pb/235U_σ, age207Pb/206Pb, age207Pb/206Pb_σ, age208Pb/232Th, age208Pb/232Th_σ, Instrument, Reference_material, Lithology, Longitude, and Latitude.

2) Database_v2.1_part2.xlsx: the second part of the zircon U−Th−Pb geochronology database. 

3) Database_v2.1_part3.xlsx: the third part of the zircon U−Th−Pb geochronology database. 

4) References_v2.1.xlsx: the original references of the zircon U−Th−Pb geochronology database. Each record in the "Database" files has its corresponding reference in the "References" file, with the same value for the "Ref_number" field. The "References" file contains the following information: reference number, author, year of publication, title, journal, volume, issue, first page, last page, DOI, URL, and access information.
DOI: 10.5281/zenodo.7495506
title: The Portuguese Large Wildfire Spread Database (PT-FireSprd)

description: The <strong>Portuguese Large Wildfire Spread Database (PT-FireSprd) </strong>includes the reconstruction of the spread of 80 large wildfires that occurred in Portugal between 2015 and 2021. It includes a detailed set of fire behaviour descriptors, such as rate-of-spread (ROS), fire spread direction, fire growth rate (FGR), fire radiative energy (FRE) and FRE flux. The wildfires were reconstructed by converging evidence from complementary data sources, such as satellite imagery/products, airborne and ground data collected by fire personnel, official fire data and information in external reports. We then implemented a digraph-based algorithm to estimate the fire behaviour descriptors and combined it with MSG-SEVIRI fire radiative power estimates. A total of 1197 observations of ROS and FGR were estimated along with 609 FRE estimates. <strong>PT-WFireSprd database is organized in 3 levels: </strong> <strong>L1: Wildfire Progression, </strong>representing the spatial and temporal evolution of the wildfire spread (i.e. where and when). <strong>L2: Wildfire Behavior,</strong> including quantitative behavior descriptors of how a wildfire burned, such as the rate-of-spread (ROS), fire growth rate (FGR), fire radiative energy (FRE), and FRE flux; <strong>L3: Simplified Wildfire Behavior,</strong> averaging fire behavior over longer periods that represent relatively homogenous fire runs. The data from the different levels is composed by a large set of maps that can be useful for several applications and target users. The PT-FireSprd is the first open access fire progression and behaviour database in Mediterranean Europe, dramatically expanding the extant information. Updating the PT-FireSprd database will require a continuous joint effort by researchers and fire personnel.
description: Data must be only used after official publication of the accompanying paper. Questions should be addressed to aklibenali@gmail.com
DOI: 10.5281/zenodo.8369550
title: Data and code for "High-resolution spatial patterns and drivers of terrestrial ecosystem carbon dioxide, methane, and nitrous oxide fluxes in the tundra"

description: <strong>Repository structure</strong> The zipped folder includes the following subfolders: <em>data</em> In-situ measurement data from the plots. Remotely-sensed data could not be included in the repository due to their large size. <em>src</em> R codes to reproduce the data cleaning, prosessing, and statistical analysis steps. <em>results</em> Model parameters, performance statistics, model files, figures, edited tables together with some summary tables produces from upscaling results. <em>raster data and upscaled results</em> Averaged flux, soil moisture and temperature maps for the growing season (July 1-August 2nd, 8 am - 8 pm) as well as static maps produced in this study. All the upscaled results could not be included in the repository due to their large size. Note that the analysis to produce the vegetation classification map are described here: https://github.com/poniitty/kilpisjarvi_vegclass
DOI: 10.6084/m9.figshare.24901884
title: <b>Dataset of 569 metagenome-assembled genomes from the caeca of multiple chicken breeds from commercial and backyard farming setups of Pakistan</b>

description: This article presents metagenomic-assembled genomes (MAGs) of prokaryotic organisms recovered from 9 different groups of chicken raised in different farm setups in Pakistan. The groups comprise three different breeds (Broilers, White Layers, Black Australorp) of chicken raised in different farming setups that include antibiotic-free control sheds, commercial, and backyard farms. The binning of the samples identified 569 MAGs with50% completion, and10% contamination. The data for each MAG includes sequences in FASTA format, tables of functional annotation of genes, along with two different strategies for recovery of phylogenetic tree for these MAGs. Major geochemical cycles at community level including carbon, sulfur, and nitrogen cycles are also recovered.