cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rf79tjcgg4
title: Probabilistic Markov Model for Cost-Effectiveness Analysis of FEVAR versus OSR versus Observation

description: We aimed to develop a probabilistic Markov model and conduct a cost-effectiveness analysis of fenestrated endovascular aneurysm repair (FEVAR) versus open surgical repair (OSR) versus observation of complex abdominal aortic aneurysms (cAAA).

This repository contains:
1. An Excel file named "Model" with the probabilistic Markov model and its Visual Basic script (software code).
2. A word document named "Model Description" to guide the reader in interpreting and running the Markov model.
3. A word document named "References" to list references used for model parameters.
4. A word document named "Supplemental Data" containing supplemental results of cost-effectiveness analysis for reviewers.
DOI: 10.17632/rf79tjcgg4.2
title: Probabilistic Markov Model for Cost-Effectiveness Analysis of FEVAR versus OSR versus Observation

description: We aimed to develop a probabilistic Markov model and conduct a cost-effectiveness analysis of fenestrated endovascular aneurysm repair (FEVAR) versus open surgical repair (OSR) versus observation of complex abdominal aortic aneurysms (cAAA).

This repository contains:
1. An Excel file named "Model" with the probabilistic Markov model and its Visual Basic script (software code).
2. A word document named "Model Description" to guide the reader in interpreting and running the Markov model.
3. A word document named "References" to list references used for model parameters.
4. A word document named "Supplemental Data" containing supplemental results of cost-effectiveness analysis for reviewers.
DOI: 10.17632/2y4m97b7dc
title: Moroccan Darija Offensive Language Detection Dataset

description: The Moroccan Darija dataset was cleaned by removing duplicate entries and discarding sentences with conflicting annotations. To address class imbalance, undersampling was applied to reduce the size of the majority (non-offensive) class.

The dataset was also augmented with samples from the OMCD corpus, which underwent the same preprocessing pipeline to ensure consistency, including emoji representation, normalization, removal of punctuation and diacritics, elimination of social media elements, elongation removal, and duplicate removal.

Finally, all entries from the Moroccan Darija dataset were relabeled using Claude 3.5 Sonnet to align with the comprehensive OMCD framework, covering both explicit and implicit forms of offensiveness such as vulgarity, hate speech, hostile intent, contempt, humiliation, and belittlement (OMCD reference).

Sentences where Claude-generated labels conflicting with previous annotations were flagged for manual review according to break the tie.
DOI: 10.17632/2y4m97b7dc.4
title: Moroccan Darija Offensive Language Detection Dataset

description: The Moroccan Darija dataset was cleaned by removing duplicate entries and discarding sentences with conflicting annotations. To address class imbalance, undersampling was applied to reduce the size of the majority (non-offensive) class.

The dataset was also augmented with samples from the OMCD corpus, which underwent the same preprocessing pipeline to ensure consistency, including emoji representation, normalization, removal of punctuation and diacritics, elimination of social media elements, elongation removal, and duplicate removal.

Finally, all entries from the Moroccan Darija dataset were relabeled using Claude 3.5 Sonnet to align with the comprehensive OMCD framework, covering both explicit and implicit forms of offensiveness such as vulgarity, hate speech, hostile intent, contempt, humiliation, and belittlement (OMCD reference).

Sentences where Claude-generated labels conflicting with previous annotations were flagged for manual review according to break the tie.
DOI: 10.17632/xntm8w8rbb
title: Supplemental material for Grossman et al.

description: Supplementary methods, Supplementary Tables 1 and 2
DOI: 10.17632/xntm8w8rbb.5
title: Supplemental material for Grossman et al.

description: Supplementary methods, Supplementary Tables 1 and 2
DOI: 10.17632/3mnxzb84p7
title: Research data for "GIS based soil erosion modelling using Revised Universal Soil Loss Equation for soil conservation"

description: We are sharing equation used in RUSLE Modelling which i have used for preparing my manuscript. We are also sharing the methodological flowchart, which you can guide you all for the modelling. A table for assigning the P value to the Land use classes combined with the slope is also provided for preparation of layer.
DOI: 10.17632/3mnxzb84p7.1
title: Research data for "GIS based soil erosion modelling using Revised Universal Soil Loss Equation for soil conservation"

description: We are sharing equation used in RUSLE Modelling which i have used for preparing my manuscript. We are also sharing the methodological flowchart, which you can guide you all for the modelling. A table for assigning the P value to the Land use classes combined with the slope is also provided for preparation of layer.
DOI: 10.7916/adhv-rc45
title:  Data for: The Response of Ocean Skin Temperature to Rain: Observations and Implications for Parameterization of Rain-Induced Fluxes
DOI: 10.15468/dl.64jvvv
title: Occurrence Download

description: A dataset containing 56386 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus ponderosa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 56386 records from 238 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009758-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7916/mdj7-es52
title:  Data for: The Suppression of Ocean Waves by Biogenic Slicks, v2
DOI: 10.15468/dl.vb2quk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dysphania glomulifera",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009806-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/wz25-4465
title: WASP-178b NIRSpec/G395H Transmission
DOI: 10.7916/42e1-af63
title:  Data for: The Suppression of Ocean Waves by Biogenic Slicks, v3
DOI: 10.13012/b2idb-9454286_v1
title: Data for "Design of Diverse, Functional Mitochondrial Targeting Sequences Across Eukaryotic Organisms Using Variational Autoencoder"

description: Mitochondria play a key role in energy production and metabolism, making them a promising target for metabolic engineering and disease treatment. However, despite the known influence of passenger proteins on localization efficiency, only a few protein-localization tags have been characterized for mitochondrial targeting. To address this limitation, we leverage a Variational Autoencoder to design novel mitochondrial targeting sequences. In silico analysis reveals that a high fraction of the generated peptides (90.14%) are functional and possess features important for mitochondrial targeting. We characterize artificial peptides in four eukaryotic organisms and, as a proof-of-concept, demonstrate their utility in increasing 3-hydroxypropionic acid titers through pathway compartmentalization and improving 5-aminolevulinate synthase delivery by 1.62-fold and 4.76-fold, respectively. Moreover, we employ latent space interpolation to shed light on the evolutionary origins of dual-targeting sequences. Overall, our work demonstrates the potential of generative artificial intelligence for both fundamental research and practical applications in mitochondrial biology.
DOI: 10.7916/g7hf-5j59
title:  Data for: The Suppression of Ocean Waves by Spatially Heterogeneous Biogenic Slicks
DOI: 10.15468/dl.scw7ub
title: Occurrence Download

description: A dataset containing 40617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salix glauca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 40617 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009807-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18027036
title: Megachile casadae	NCSU_0020768
DOI: 10.5281/zenodo.18027035
title: Megachile casadae	NCSU_0020768
DOI: 10.17632/m5b5zhxkfh.1
title: MTASpec software for calculating the vibrational IR and Raman spectra of large molecules at ab initio level

description: Fragmentation-based (FB) methods have been developed for enabling ab initio calculations on large molecules and clusters. However, a well-benchmarked FB-based utility, for calculating the vibrational spectra is not available. The present article reports a software package MTASpec, based on the FB-molecular tailoring approach (MTA), for computing the single point energy followed by vibrational IR and Raman spectra for spatially extended molecular systems. Accuracy and efficiency of MTASpec are assessed vis-à-vis their full calculation counterparts for some medium- to large-sized molecular systems using HF, DFT and MP2 theory employing large basis sets. The code is fully automated for use on linux platform, with the Gaussian suite of software at the back-end. It is envisaged that the MTASpec package would enable spectral studies of molecular systems containing ∼100 atoms and/or ∼10000 basis functions employing correlated theories with computational economy.
DOI: 10.25625/6v6ksn
title: Gratin Jet Figures

description: This dataset includes figures of the gas-recycling atom-economic infrared (gratin) jet FTIR spectroscopy setup.
DOI: 10.25832/renewable_power_plants/2020-08-25
title: Renewable power plants

description: List of renewable energy power stations. This Data Package contains a list of renewable energy power plants in lists of renewable energy-based power plants of Czechia, Denmark, France, Germany, Poland, Sweden, Switzerland and United Kingdom. Czechia: Renewable-energy power plants in Czech Republic. Denmark: Wind and phovoltaic power plants with a high level of detail. France: Renewable-energy power plants of various types (solar, hydro, wind, bioenergy marine, geothermal) in France. Germany: Individual power plants, all renewable energy plants supported by the German Renewable Energy Law (EEG). Poland: Summed capacity and number of installations per energy source per municipality (Powiat). Sweden: Wind power plants in Sweden. Switzerland: All renewable-energy power plants supported by the feed-in-tariff KEV (Kostendeckende Einspeisevergütung). United Kingdom: Renewable-energy power plants in the United Kingdom. Due to different data availability, the power plant lists are of different accurancy and partly provide different power plant parameter. Due to that, the lists are provided as seperate csv-files per country and as separate sheets in the excel file. Suspect data or entries with high probability of duplication are marked in the column 'comment'. Theses validation markers are explained in the file validation_marker.csv. Additionally, the Data Package includes daily time series of cumulated installed capacity per energy source type for Germany, Denmark, Switzerland, the United Kingdom and Sweden. All data processing is conducted in Python and pandas and has been documented in Jupyter Notebooks.
DOI: 10.5281/zenodo.10223637
title: Data for "Unveiling the Global Extent of Land Subsidence: The sinking crisis"

description: File ds01. Global dataset of subsidence rates.
File ds02. Zonal statistics and feature importance.
File ds03. Global raster map of subsidence rates.
DOI: 10.5281/zenodo.10663562
title: Understanding the fate of H2S injected in basalts by means of time-domain induced polarization geophysical logging.

description: Data for paper published at JGR-Solid Earth

Input data (five zipped folders): TDIP fullwaveform data, resistivity, temperature, fluid conductivity (.xlsx and .txt formats)

Matlab_scripts.zip: scripts for reading, processing, analyzing, plotting, saving data (.m format). It also includes data saved as .mat at the intermediary steps of the processing.

Output_data.zip: Processed data used in the plots stored in .xlsx files

Readme.pdf : file that explains the different scripts
DOI: 10.5281/zenodo.8409201
title: Electrical Alignment Signatures of Ice Particles before Intracloud Lightning Activity Detected by Dual-polarized Phased Array Weather Radar

description: lightning data from LIDEN system and the data of the Dual-polarized Phased Array Weather Radar (DP-PAWR) on August 20, 2019.
DOI: 10.5517/cct3qcz
title: CCDC 748351: Experimental Crystal Structure Determination

description: Related Article: S.B.Thorpe,W.L.Santos,C.Slebodnick|2009|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.25285300.v2
title: LA-ICP-MS detrital zircon data for 10 samples from Uzbekistan.xlsx

description: This dataset provides Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) detrital zircon data for 10 samples from Uzbekistan.
DOI: 10.17632/tm7tfnp5z5.1
title: Clinical implications of non-invasive prenatal test failure due to low fetal fraction: relation to adverse maternal and fetal outcomes

description: maternal and fetal characteristics of noninvasive prenatal testing
DOI: 10.18112/openneuro.ds005148.v1.1.0
title: WMFS
DOI: 10.18739/a2cd5m
title: Arctic Shorebird Demographics Network
DOI: 10.21227/7yfp-9p87
title: A dataset for detecting buildings, containers, and cranes in satellite images

description: This dataset contains polygon datasets representing shapes of buildings, containers, and cranes in satellite images on Google Earth. The datasets are structured in useful formats for machine learning and deep learning applications.
DOI: 10.24432/c5ts4s
title: HCC Survival
DOI: 10.5281/zenodo.10252049
title: On the scale of particle clustering induced by inhomogeneous entrainment-mixing in mixed-phase cumulus clouds: dataset

description: Data used in On the scale of particle clustering induced by inhomogeneous entrainment-mixing in mixed-phase cumulus clouds
DOI: 10.5281/zenodo.10685919
title: Sources of NH4+ in PM2.5 and Their Seasonal Variations in Urban Tianjin China: New Insights from the Seasonal δ15N Values of NH3 Source

description: data
DOI: 10.5281/zenodo.8315138
title: AWI-CM3 output of mid-Holocene and pre-industrial experiments

description: This repository contains the AWI-CM3 output of the pre-industrial (PI) and mid-Holocene (MH) experiments. Files description 2t=&gt; surface air temperature (2m)<br> a_ice=&gt; sea ice concentration<br> radiation: radiation: components of Arctic surface energy budget PI and MH both contains 5 ensemble runs, which are labeled as 001-005. For more data details, please refer to the self-describing information of NetCDF files.
DOI: 10.6084/m9.figshare.13742602
title: Metadata record for: Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption

description: This dataset contains key characteristics about the data described in the Data Descriptor Scenarios of future Indian electricity demand accounting for space cooling and electric vehicle adoption. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.6084/m9.figshare.23574162
title: CONSORT-2010-Checklist-MS-Word.doc

description: CONSORT check list and flow chart for “Indocyanine green based antimicrobial photodynamic therapy as an adjunct to non-surgical periodontal treatment in periodontal maintenance patients: a clinico-microbiological study
DOI: 10.6084/m9.figshare.24557326
title: Random-access wide-field mesoscopy for centimetre-scale imaging biodynamics with subcellular resolution

description: Data related to the figures in RA-WiFi manuscript.
DOI: 10.15156/bio/786381
title: UNITE mothur release for Fungi

description: Three sets of mothur files are released, corresponding to the SHs resulting from clustering at the 97% and 99% threshold levels. The third set of files is the result of a dynamic use of clustering thresholds, such that some SHs are delimited at the 97% level, some at the 97.5% level, some at the 98% level, and so on; these choices were made manually by experts of those particular lineages of fungi. The syntax is the same throughout the three sets of files.
DOI: 10.5281/zenodo.11657876
title: Dataset of the "Unwrapping Non-Locality in the Image Transmission Through Turbid Media"

description: This post provides the dataset associated with the study titled "Unwrapping Non-Locality in Image Transmission Through Turbid Media."

The "X_random.npy" file contains speckle image data with dimensions (150,000, 128, 128). The first axis spans the 150,000 images used in this study. The first 120,000 images are speckles corresponding to randomly generated images. The next 10,000 images (from 120,000 to 130,000) correspond to the first 10,000 images of the CelebA dataset. The remaining 20,000 (from 130,000 to 150,000) images consist of the first 10,000 images of the CIFAR and MNIST datasets, respectively.

The ground truth images (SLM commanded images) are provided in "gt_random.npy", "gt_cifar.npy", and "gt_mnist.npy" for randomly generated images, CIFAR, and MNIST datasets, respectively. Each image in these datasets is scaled to a resolution of 128 by 128 pixels. The faces dataset are the 128 by 128 resized images of the CelebA dataset.

A code example of the presented neural network model and its architecture implementation is given in "GAM on ImageNet data.py". This code reads the training dataset (speckle images) from the Ref [1] study ("x_train.npy") and rescales them to 128 by 128 pixels. The rescaled data, along with their corresponding resized SLM commanded images ("y_train.npy"), are used for training the GAM model (the model presented in the manuscript). This code then saves three files: "Trained GAM.h5," "samp_final_16_0.npy," and "samp_final_16_1.npy," which contain the trained model weights and biases and the sampling index of the model nodes, as described in the manuscript and commented on in the "GAM on ImageNet data.py" code.

Code for testing this model is also provided in "test GAM.py." This file reads the testing dataset from the [1] study, specifically "x_test_cat.npy," "x_test_horse.npy," "x_test_punch.npy," and "x_test_parrot.npy" speckle images. It applies the trained model ("Trained GAM.h5," "samp_final_16_0.npy," and "samp_final_16_1.npy") to them. The code then calculates the structural similarity index (SSIM) to the ground truth files, namely "y_test_cat.npy," "y_test_horse.npy," "y_test_punch.npy," and "y_test_parrot.npy" for the "x_test_cat.npy," "x_test_horse.npy," "x_test_punch.npy," and "x_test_parrot.npy" data, respectively.

Reference

[1] Caramazza, P., Moran, O., Murray-Smith, R., & Faccio, D. (2019). Transmission of natural scene images through a multimode fibre. Nature Communications, 10(1), 2029.
DOI: 10.5281/zenodo.4715786
title: Time series and projections of snow water equivalent and snowmelt for High Mountain Asia

description: Supplementary model output to Kraaijenbrink et al. (2021). <strong>File descriptions</strong> <strong>snow_elasticity.nc</strong><br> Climatological response of <em>peak snow water equivalent</em>, <em>mean snow water equivalent</em>, and <em>mean snowmelt discharge</em> to bottom-up modulations of temperature and precipitation. NetCDF file format. <strong>snow_projections_cmip6_2071-2100.nc</strong><br> Snow water equivalent and snowmelt projections for the end of century (2071-2100) with respect to present day (2000–2019) based on CMIP6 SSP-RCP ensemble mean forcing. Includes projections of climatological change of <em>peak snow water equivalent</em>, <em>mean snow water equivalent</em>, and <em>mean snowmelt discharge</em>. Included CMIP6 experiments are ssp119, ssp126, ssp245, ssp370, ssp434, ssp460, and ssp585. NetCDF file format. <strong>snowmelt_daily_1979-2019.tar</strong><br> Archive with annual grids of daily aggregated snowmelt for the period 1979-09-01 to 2019-08-31. Tape archive format, netCDF grid format. <strong>snowpack_daily_1979-2019.tar</strong><br> Archive with annual grids of daily mean snowpack for the period 1979-09-01 to 2019-08-31. Tape archive format, netCDF grid format. All model output in this record has a grid resolution of 0.05° and uses WGS 1984 (EPSG:4326) as coordinate reference system. The model code used to generate these data is available here. Input data required to run the model are available here. <strong>Reference</strong> Kraaijenbrink, P. D. A., Stigter, E. E., Yao, T., and Immerzeel, W. W. (2021). Climate change decisive for Asia’s snow meltwater supply. <em>Nature Climate Change</em>. doi:10.1038/s41558-021-01074-x.
DOI: 10.6084/m9.figshare.23574150
title: Extended data

description: This project contains the following data • Case Performa Informed consent form in English Ethical Committee Approval letter
DOI: 10.6084/m9.figshare.24947646
title: Non-Abelian braiding of Fibonacci anyons with a superconducting processor

description: Here we provide the experimental data presented in the figures and that support the other findings of this study.
We also provide the simulation code for Fig. S19 in Supplementary Information. This code include a state vector simulator and the readout error mitigation method "iterative Bayesian unfolding". The state vector simulator are built with pytorch and the readout error mitigation method is powered by jax.
DOI: 10.15468/dl.uy3aqk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((147.188212 -35.960266, 147.188212 -35.964757, 147.194949 -35.964757, 147.194949 -35.969249, 147.197195 -35.969249, 147.197195 -35.960266, 147.188212 -35.960266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048191-240626123714530/datasets/export for details.
DOI: 10.5519/qd.k94wd210
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (222 records)