cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24136167
title: <b>Daily dataset of air temperature, snow depth, and ground temperature for </b><b>Northern Hemisphere</b>

description: The dataset consists of three compressed files (.7z), each containing data in text format, and three metadata files for the three variables (Ta, Sd, and Tg). The data for each station is stored in separate text files, and they all have a consistent time series from 1960/01/01 to 2021/12/31. The total number of files corresponding to the number of stations provided for Ta, Sd, and Tg are as follows: 27,768 files for Ta, 32,417 files for Sd, and 659 files for Tg. Basic information about the measurement station, such as gage name, identification number (ID), coordinates, and gage elevation, is provided in the metadata files. Additionally, for Tg metadata, information about the depths with measured data is also provided. The format of each file for Ta and Sd is consistent, with columns including "Date," "Values," and "Flags." In this format, the "Values" column includes both observed data and derived data, which are determined by flag values. For example, 1 represents observed data, and 2 represents derived data. For Tg data, the columns include "Date," "Depth_," and "Flag_." Since each Tg measurement station has multiple measurement depths, data and flags are provided separately for each depth. The filename for each measurement station is set as ".txt," where latitude and longitude values are rounded to 3 digits after the decimal point. The evaluation results of the machine learning performance for each variable and station are contained in the "EvaluationResults.m" file.
DOI: 10.6084/m9.figshare.26936365
title: De novo transcriptome analysis of the Indian squid Uroteuthis duvaucelii (Orbigny, 1848) from the Indian Ocean

description: The transcriptome assembly of the Indian squid, Uroteuthis duvaucelii
DOI: 10.6084/m9.figshare.27173778
title: Supplementary Material for: Dental caries among over 1.5 million records of schoolchildren in Singapore, 2007 - 2019: age-period-cohort effect analyses

description: Introduction: This study aimed to examine the effects of age, period (historical events), and cohort (generational impact) - APC on caries prevalence and mean DMFT among Singapore schoolchildren from 2007 to 2019. Methods: Anonymized records of all 6-year-old Primary 1 (P1), 11-year-old Primary 6 (P6), and 14-year-old Secondary 3 (S3) students before the start of each school year between 2007 and 2019 were extracted from the Integrated Dental Electronic Assessment System (IDEAS), categorised by school level, ethnicity, and sex. Poisson regression and Partial Least Squares (PLS) regressions were applied to estimate APC effects. 
Results: In total, 502339 P1, 535579 P6, and 496725 S3 records were included from 2007 to 2019, with 1058589 (69.0%) Chinese, 187948 (12.2%) Malay, and 152618 (9.9%) Indian students; 245447 (48.8%) P1, 259389 (48.4%) P6, and 243941 (49.1%) S3 students were girls. Overall, the APC effects on caries prevalence and mean DMFT showed a strong age effect, with the lowest prevalence in the youngest P1 group and the highest in the oldest S3 group. Period and cohort effects were identified, with the prevalence decreasing among those born after 1995 and the lowest prevalence rate in 2013. Similarly, period and cohort effects on mean DMFT were also detected, with decreased mean DMFT after period 2009 and the highest mean DMFT (0.72 in P6 and 1.13 in S3) in cohort 1995.
Conclusion: Caries prevalence and DMFT increased with age. While both decreased in individuals born after 1995, mean DMFT began to rise again in those born after 2003.
DOI: 10.6084/m9.figshare.27254217
title: Supplementary Material for: Chinese Expert Consensus on the Whole-Course Management of Hepatocellular Carcinoma (2023 Edition)

description: Background: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in China. Most HCC patients have the complication of chronic liver disease and need overall consideration and whole-course management, including diagnosis, treatment and follow-up. To develop a reasonable, long-term, and complete management plan, multiple factors need to be considered, including the patient's general condition, basic liver diseases, tumor stage, tumor biological characteristics, treatment requirements and economic cost. Summary: To better guide the whole-course management of HCC patients, the Chinese Association of Liver Cancer and the Chinese Medical Doctor Association has gathered multidisciplinary experts and scholars in relevant fields to formulate the “Chinese Expert Consensus on The Whole-Course Management of Hepatocellular Carcinoma (2023).” Key Messages: This expert consensus, based on the current clinical evidence and experience, proposes surgical and nonsurgical HCC management pathways and involves 18 recommendations, including perioperative treatment, systematic treatment combined with local treatment, conversion treatment, special population management, symptomatic support treatment, and follow-up management.
DOI: 10.15468/dl.krukj4
title: Occurrence Download

description: A dataset containing 19601 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplolepis rosae (Linnaeus, 1758)"
 ]
}

 The dataset includes 19601 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0215546-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7nbxt
title: Occurrence Download

description: A dataset containing 348407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "License is CC-BY-NC 4.0",
 "MediaType is Image",
 "TaxonKey is Rodentia",
 "Year 1000-2021"
 ]
}

 The dataset includes 348407 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230028-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr07804.v2
title: Federal Employee Attitudes Survey, 1979-1980
title: Version 2

description: This data collection contains the results of two surveys administered in 1979 and 1980 to gather information on United States federal employee attitudes and perceptions of federal personnel management practices and working conditions. Conducted as part of the evaluation of the Civil Service Reform Act of 1978, these surveys are based on government-wide samples of employees. Respondents in each of the studies completed a self-administered questionnaire. Part 1 includes information gathered in the 1979 survey, such as personal and employment background, current position, job and pay rate satisfaction, work relationships with other employees and supervisors, work group performance, attitudes about the agency's organizational culture, and perceived promotional opportunities. Part 2 contains the results of the 1980 survey, which was administered to a sample of senior federal employees. The type of data gathered is similar to that in Part 1, with additional information concerning respondents' attitudes about the Senior Executive Service (SES), labor/management relations, and job performance incentives.
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.; Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: 1979 Survey 
 DS2: 1980 Survey
description: self-enumerated questionnaire 
Some of the demographic variables were recoded to protect confidentiality. For additional information, please see the "Modifications in the Data" section in the "Original ICPSR Codebook, 1982 Release".
description: United States federal government employees.
description: The 1979 survey was distributed to a stratified random sample of 20,000 federal civilian employees from over 20 federal departments and agencies, and the 1980 survey was conducted with a sample of senior federal employees.
DOI: 10.5066/p9hn0abd
title: Compilation of offset measurements and fault data for global strike-slip faults with multiple earthquakes

description: This Data Release provides the compilation of offset measurement datasets and associated fault data to accompany the manuscript "Climatic influence on the expression of strike-slip faulting" by Reitman et al. In addition to a ReadMe file, it includes two tabular datasets, one code, and one text file. The datasets are a compilation of offset measurement data ("data_multiple_eq_offsets.xlsx") from 31 studies of strike-slip faults with multiple earthquakes, and the associated fault data ("fault_data" provided in csv and xlsx formats) with inputs necessary to do the analysis described in the accompanying manuscript. The code ("code_multiple_eq_offsets.ipynb") reads the offset measurement data from each sheet of "data_multiple_eq_offsets.xlsx" and fault data from "fault_data.xlsx", performs analysis of the offset measurements data as described in the manuscript to calculate the exponential decay rate in the occurrence of large cumulative offsets (b values), and plots each offset measurement dataset and graphs included in the manuscript and supplementary information. The "references.txt" file provides the full reference for each study included in the compilation of offset measurements and used to compile information in "fault_data".
DOI: 10.5066/p9uk2uq1
title: Computational notebook to plot offset measurements along strike-slip faults

description: Summary:
This computational notebook is intended to visualize any dataset of offset measurements along a fault, including datasets for single or multiple earthquakes. It is used to plot recent, geomorphic, and synthetic offset measurements for the companion manuscript: Limited preservation of strike-slip surface displacement in the geomorphic record by N.G. Reitman, Y. Klinger, R. Briggs, and R. Gold in Journal of Geophysical Research: Solid Earth. https://doi.org/10.1029/2024JB028692

This computational notebook (plot_offsets.ipynb) plots offset measurements and their uncertainties along faults. The notebook can plot offset measurements along faults of all rakes (strike-slip, normal, and reverse) and faults with single or multiple earthquakes. It can handle datasets from one or multiple faults simultaneously.. The input is one comma-separated variable (CSV) file for each dataset with the columns (1) offset measurements, (2) offset measurement minimums, (3) offset measurement maximums, and (4) distance along the fault for each measurement. The output is a figure that depicts the measurements with six treatments:

A plot of offset measurements with uncertainty plotted by distance along the fault.
All offset measurements with uncertainty plotted from largest to smallest.
A two-dimensional (2D) cumulative offset probability density (COPD) plot depicting offset amount and offset probability by distance along the fault.
A one-dimensional COPD (1D-COPD) depicting offset amount and offset probability.
A 2D kernel density estimate (KDE) depicting offset amount, measurement density, and distance along the fault.
A 1D-KDE depicting offset amount and measurement density. 

 
 
Explanation of Data:
This data release contains two files: 1) the Jupyter notebook to plot offset measurements (plot_offsets.ipynb) and 2) a CSV file containing a sample dataset (synthetic_data_test.csv) of synthetic offset measurements from five earthquakes with 30% random noise added to simulate slip variability, measurement uncertainty, and geomorphic change.
 
The columns in the CSV file are 1) offset in meters, 2) offset maximum in meters, 3) offset minimum in meters, and 4) distance along the fault. The columns may be in any order as long as they are named in a header row: “offset”, “offset_min”, “offset_max”, “distance”.
 
Within the notebook, the user can select the type of probability density function (PDF) to construct for each offset measurement. The choices are “normal” for normal (Gaussian) PDFs with the center of the distribution at the offset value; “truncnormal” for normal PDFs with the center at the offset value and truncated at offset_min and offset_max; “triangle” for triangular PDFs with the center at the offset value and limits at offset_min and offset_max; and “uniform” for uniform PDFs with limits at offset_min and offset_max. The companion manuscript uses the “norm” PDF type, which includes the largest uncertainty bounds of the four distribution types.
DOI: 10.5281/zenodo.10456068
title: General purpose Gaussian approximation potential for CO

description: This is a Gaussian approximation potential (GAP [1]) for carbon and oxygen. The potential can be used to model oxygen-containing carbon materials, including oxygenated graphitic and amorphous carbons. It has been fitted with gap_fit [2] by recomputing the a-C database of Deringer and Csányi [3] at the PBE level of theory [4] using the VASP code [5,6] and augmenting it to include other atomic structures, namely:



Dimers at closer interatomic separation than in [3], including O-O and C-O in addition to C-C

C60 isomers

Iteratively generated oxygen-containing carbon structures from low oxygen content up to approx. 50% oxygen content


Environment independent ("fixed C6") vdW corrections are included via tabulated two-body interactions with a damped London-dispersion functional form (1/R^6 decay). The vdW interactions are damped both in the short range (similar to the Tkatchenko-Scheffler scheme [7], but without the environment dependence) and long range (hard cutoff at 20 Angstrom and soft cutoff at 17.5 Angstrom). The parameters are optimized to reproduce the typical vdW interactions in graphitic carbon. Future versions of the CO-GAP may include support for more sophisticated vdW corrections.

For the underlying PBE fit, this potential uses 2-body (distance_2b) and 3-body (angle_3b) descriptors [2] plus SOAP-type descriptors (soap_turbo) [8,9], as implemented in the TurboGAP code [10]. The files can be used both with QUIP/GAP (and LAMMPS via the QUIP interface) and TurboGAP.

The authors acknowledge funding from the Academy of Finland (grants 321713, 330488, 336304, 355301 and 358050) and computational resources from the Finnish Center for Scientific Computing (CSC) and Aalto University's Science IT project.

A reference to the relevant paper with more details and applications of the potential will be published here when they are available.

References



A.P. Bartók, M.C. Payne, R. Kondor, and G. Csányi. Phys. Rev. Lett. 104, 136403 (2010).

S. Klawohn, J.P. Darby, J.R. Kermode, G. Csányi, M.A. Caro, and A.P. Bartók. J. Chem. Phys.159, 174108 (2023).

V.L. Deringer and G. Csányi. Phys. Rev. B 95, 094203 (2017).

J.P. Perdew, K. Burke, and M. Ernzerhof. Phys Rev. Lett. 77, 3865 (1996).

VASP: http://vasp.at

G. Kresse and J. Furthmüller. Phys. Rev. B 54, 11169 (1996).

A. Tkatchenko and M. Scheffler. Phys. Rev. Lett. 102, 073005 (2009).

A.P. Bartók, R. Kondor, and G. Csányi. Phys. Rev. B 87, 184115 (2013).

M.A. Caro. Phys. Rev. B 100, 024112 (2019).

TurboGAP: http://turbogap.fi


Contact

Miguel A. Caro: mcaroba@gmail.com or miguel.caro@aalto.fi
DOI: 10.5281/zenodo.10593101
title: MausHaus Mathis Lab

description: Please see the full DataSheet that accomanies Ye et al. Nature Communications 2024
DOI: 10.5281/zenodo.10620519
title: GTT23: A 2023 Dataset of Genuine Tor Traces

description: The GTT23 dataset contains network metadata of encrypted traffic measured from exit relays in the Tor network over a 13-week measurement period in 2023. The metadata is suitable for analyzing and evaluating website fingerprinting attacks and defenses.

 

Our dataset measurement process was designed to prioritize safety and privacy and was developed through consultation with the Tor Research Safety Board (TRSB, submission #37). Our TRSB interaction resulted in a “No Objections” score.

 

The measurement process, additional safety and ethical considerations, and a statistical analysis of the dataset is presented in further detail in the article "A Measurement of Genuine Tor Traces for Realistic Website Fingerprinting", arXiv:2404.07892 [cs.CR], https://doi.org/10.48550/arXiv.2404.07892.
DOI: 10.5281/zenodo.10798925
title: Compilation of Strike-Slip Fault Surface Displacement Data From Recent and Historical Earthquakes

description: This repository contains offset measurements on strike-slip faults from recent and historical earthquakes measured by hand and with image correlation. The data in this repository were compiled from published studies (see Table 1 and Table 2 for references) and represent 63 global earthquakes. Some of the original data were available in tabular format, but many of the datasets were transcribed from tables or graphs in PDFs. Thus, minor errors may exist resulting from data transcription.

 

These data are used in:

Reitman, N.G., Mueller, K.J. & Tucker,G.E. (2022) Surface slip variability on strike-slip faults. Earth Surface Processes and Landforms, 47(4), 908–935. https://doi.org/10.1002/esp.5294 

 

Description of Data:

single_eq_data.zip contains a pickle file for each dataset. Each file contains offset (m), distance along the fault or fault section (km), offset minimum (m), offset maximum (m), and offset uncertainty (m), if the values were available from the original publications. Naming convention is AuthorDate-Fault or Earthquake.pkl

 

singleEQs_notsubset_withSheetName.csv is a file that contains the metadata for each dataset that is presented in Tables 1 and 2. It is included to make the data files easier to ingest in codes.

 

single_eqs.ipynb is a computational notebook that reads and plots each dataset. It requires Numpy, Matplotlib, and Pandas, and has been tested in Python 3.11.5.

 

Reitman2021_Table1.xlsx and Reitman2021_Table2.xlsx are the tables included in the original publication.

 

Email nadine.reitman@colorado.edu or nreitman@usgs.gov with questions.
DOI: 10.5281/zenodo.10820438
title: KupferDigital mechanical testing datasets: Stress relaxation and low-cycle fatigue (LCF) tests

description: The KupferDigital project deals with the development of a data ecosystem for digital materials research on the basis of ontology-based digital representations of copper and copper alloys. This document provides exemplary mechanical testing datasets for training the developed KupferDigital infrastructures. Different types of cast copper alloys were provided for this research and their mechanical testing (stress relaxation and low-cycle fatigue) was performed in the accredited materials testing laboratory, while the test results were reported according to the DIN/ISO standards and attached with the maximum possible metadata about the sample history, equipment, and calibration. The attached content file consisted of the obtained primary raw testing data as well as the secondary datasets of these tests containing the detailed metadata of mechanical testing methods. Such test data files are processed by the KupferDigital digital tools to be converted to standardized machine-readable data files.
DOI: 10.5281/zenodo.3521841
title: JRC-TEMBA - African decarbonisation pathways

description: This dataset underpins the report provided to the project JRC-TEMBA - African decarbonisation pathways. The report provides insights into energy supply and demand, power generation, investments and total system costs, water consumption and withdrawal as well as carbon dioxide emissions for the African continent. The energy supply systems of forty-seven African countries are modelled individually and connected via gas and electricity trade links to identify the cost-optimal solution to satisfy each country´s total final energy demand for the period 2015-2065. In this analysis, The Electricity Model Base for Africa (TEMBA) was extended to include a simple representation of the full energy system. It was also updated to include new data. It is run using the medium- to long-term Open Source Energy Modelling System tool (OSeMOSYS). The TEMBA model produces aggregate energy, and detailed power system results in each country in the African continent. The power sector results are also reported with power pool aggregation. The OSeMOSYS model and input data used to produce these results can be found at https://github.com/KTH-dESA/jrc_temba.
description: Dataset underpinning final report for project "Energy projections for African countries" (contract number C936531 – JRC/PTT/2018/C.7/0038/NC)
DOI: 10.5281/zenodo.7931050
title: Data in support of "Declining cost of renewables and climate change curb the need for African hydropower expansion"

description: Data and scripts to replicate the results and the figures presented in "Declining cost of renewables and climate change curb the need for African hydropower expansion"
DOI: 10.5281/zenodo.8250110
title: Global economic impact of weather variability on the rich and the poor

description: This repository provides data and code to reproduce the results of the publication "L. Quante, S. N. Willner, C. Otto, and A. Levermann (2024). Global economic impact of weather variability on the rich and the poor, Nature Sustainability".

This repository contains:

- 01_forcing_marginal_effects: marginal effects data to be combined with climate model data to generate the impacts- 02_impact_data - timeseries of production disruption, generated as described in the methods "Estimation of direct production losses", using the code in 03_impact_downscaling- 04_acclimate_settings: example settings for acclimate runs using the impact files. Due to licensing restrictions, we can not provide the EORA network data used for the simulations piublicly. 04b_income_share_generation provides the income data (from the World Bank) used to disaggregate consumption data in the EORA network to five income quintiles.- 05_pre_processed_simulation_output: the output from the acclimate simulations, pre-procesed for analysis using the code provided in 06_analysis-code- 07_figures_tables: figures and supplementary data.- 08_addtional_data: data used for plotting, i.e. the World Bank classification of country income levels.

Dependencies:



a working environment is provided in environment.yml

the Acclimate post-processing package can be downloaded from the respective GitHub repostory with git@github.com:acclimate/post-processing.git. Switch to the develop branch with git checkout develop and install the package with conda develop . from within the repository
DOI: 10.5281/zenodo.8360437
title: Data and code in support of "Rethinking energy planning to mitigate environmental and climatic impacts of future African hydropower"

description: This dataset contains all the data and processing needed to produce results and figures reported in the manuscript "Rethinking energy planning to mitigate environmental and climatic impacts of future African hydropower". The README file guides through the material available to support replication of the results and figures.
DOI: 10.12769/1569274
title: ORNL Compiled Mercury Methylator Database

description: This is a custom reference database compiled by ORNL researchers, containing mercury methylation genes (hgcA and hgcB) from predicted and known mercury methylating microorganisms. The database contains 301 hgcA and 239 hgcB sequences from pure culture and environmental genomes publicly available from the National Center for Biotechnology Information (http://www.ncbi.nlm.nih.gov). The reference packages can be used to assign taxonomic classification to HgcA sequences from cloning, amplicon, or meta-omic datasets.