cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cfdk3y9skf.1
title: The evolution of resistance to synergistic multi-drug combinations is more complex than evolving resistance to each individual drug component.

description: Multidrug antibiotic resistance is an urgent public health concern. Multiple strategies have been suggested to alleviate this problem, including the use of antibiotic combinations and cyclic therapies. We examine how adaptation to (i) combinations of drugs affects resistance to individual drugs, and to (ii) individual drugs alters responses to drug combinations. To evaluate this, we evolved multiple strains of drug resistant Staphylococcus epidermidis in the lab. We show that evolving resistance to four highly synergistic combinations does not result in cross-resistance to all of their components. Likewise, prior resistance to one antibiotic in a combination does not guarantee survival when exposed to the combination. We also identify four three-step and four two-step treatments that inhibit bacterial growth and confer collateral sensitivity with each step, impeding the development of multidrug resistance. This study highlights the importance of considering higher-order drug combinations in sequential therapies and how antibiotic interactions can influence the evolutionary trajectory of bacterial populations.
DOI: 10.25934/pr00009398
title: Systems Genomics Modelling of Drug Resistance in Mycobacterium tuberculosis

description: Multi-drug resistance presents a growing challenge to global tuberculosis (TB) control efforts, with a particularly pressing concern in developing nations where robust disease surveillance and monitoring are lacking. Nepal is one of the countries with a high TB burden. TB is caused by an airborne bacterium, Mycobacterium tuberculosis (Mtb). Treatment for TB involves antibiotics, however, some Mtb becomes resistant to these drugs, forming drug-resistant TB, which is rapidly increasing and poses a major health threat. The emergence of drug resistance TB is linked to specific mutations in Mtb genome. However, the genetic foundations of drug resistance in TB are not fully understood. The existing catalog of well-characterized Mtb drug-resistant mutations falls short in elucidating numerous instances of drug-resistant TB. Identifying new drug-resistant TB mutations is challenging given the genetic diversity of TB and the complex mechanisms driving the drug resistance. To address these challenges, here, we aim to develop a machine learning method to predict drug-resistant TB leveraging a large pool of TB genomic data. Additionally, we will explore the underlying metabolic adaptation in drug-resistant TB using genome-scale metabolic modeling.
DOI: 10.5281/zenodo.10034553
title: PARESv2 : PArish REgistry Survey − Historical Census Table Dataset (19th, 20th centuries) − France

description: PARES Dataset v2
PARES (PArish REcord Survey) contains 535 images of handwritten census tables for years ranging from around 1650 A.D. until 1850 A.D..They come from two French cities, Vic-sur-Seille (French department of Moselle) and Echevronne (French department of Côte d'Or). While they mention very ancient times, the documents are handwritten transcriptions of even older documents and are quite recent, copied from original documents during the 1950's and 1960's for demographic studies led by the INED in France (Institut National des études démographiques − National Institute for Demographic Studies). These copies were made by only a few different writers.
The documents are damaged and exhibit different types of degradations. We identified seven different document categories we call C1 to C7. C1 and C3 are generally high-quality documents, without serious damage, consisting of about 90% of the dataset. Other categories include highly damaged documents or documents with specificities.
A notable aspect of this dataset is that the records are written using only two different physical paper templates. Categories n°1, 2, 3, 6 and 7 have 25 recordings while the categories 4 and 5 are higher and can record up to 35 recordings. C4 and C5 are the larger templates and differ from the rest of the documents.
We published a paper, Text Line Detection in Historical Index Tables: Evaluations on a New French PArish REcord Survey Dataset (PARES), in which we better describe the dataset and the tasks it's possible to run on it.
DOI: 10.5281/zenodo.7840570
title: Historical Census Table Dataset (19th, 20th centuries) − France

description: The dataset contains 250 images of handwritten census tables for years ranging from around 1650 A.D. until 1850 A.D. They come from two different French cities, Vic-sur-Seille (French department of Moselle) and Echevronne (French department of Côte d’Or). While they mention very ancient times, the documents are handwritten transcriptions of even older documents and are quite recent, probably written during the 19th or the 20th century. A naive analysis of the writing tells us that transcriptions were made by only a few different writers. In terms of damages and degradations, we identify seven different document templates. T1 and T3 are pretty qualitative templates, without serious damage, for almost 90\% of the documents. Other templates include highly damaged documents or documents with specificities. A notable aspect of this dataset is that the records are written using only two different physical paper templates. Templates n°1, 2, 3, 6 and 7 have 25 recordings while the templates 4 and 5 are bigger and can record up to 35 recordings. T4 and T5 are the bigger ones and differ from the rest of the documents. They represent less than 8% of the corpus, which is hence homogeneous.
DOI: 10.5281/zenodo.8089229
title: Historical Census Table Dataset (19th, 20th centuries) − France

description: The dataset contains 250 images of handwritten census tables for years ranging from around 1650 A.D. until 1850 A.D. They come from two different French cities, Vic-sur-Seille (French department of Moselle) and Echevronne (French department of Côte d’Or). While they mention very ancient times, the documents are handwritten transcriptions of even older documents and are quite recent, copied from original documents during the 20th century. The copies were made by only a few different writers. In terms of damages and degradations, we identify seven different document categories. C1 and C3 are pretty qualitative documents, without serious damage, for almost 90% of the documents. Other categories include highly damaged documents or documents with specificities. A notable aspect of this dataset is that the records are written using only two different physical paper templates. Categories n°1, 2, 3, 6 and 7 have 25 recordings while the categories 4 and 5 are higher and can record up to 35 recordings. C4 and C5 are the bigger ones and differ from the rest of the documents. They represent less than 8% of the corpus, which is hence homogeneous.
DOI: 10.5281/zenodo.8337504
title: PARES : PArish REgistry Survey − Historical Census Table Dataset (19th, 20th centuries) − France

description: The dataset contains 250 images of handwritten census tables for years ranging from around 1650 A.D. until 1850 A.D. They come from two different French cities, Vic-sur-Seille (French department of Moselle) and Echevronne (French department of Côte d’Or). While they mention very ancient times, the documents are handwritten transcriptions of even older documents and are quite recent, copied from original documents during the 20th century. The copies were made by only a few different writers. In terms of damages and degradations, we identify seven different document categories. C1 and C3 are pretty qualitative documents, without serious damage, for almost 90% of the documents. Other categories include highly damaged documents or documents with specificities. A notable aspect of this dataset is that the records are written using only two different physical paper templates. Categories n°1, 2, 3, 6 and 7 have 25 recordings while the categories 4 and 5 are higher and can record up to 35 recordings. C4 and C5 are the bigger ones and differ from the rest of the documents. They represent less than 8% of the corpus, which is hence homogeneous. # Changelog 2023-05-18 / Version 1: Initial release of the dataset 2023-09-11 : Connected components in <em>labels</em> were eroded and the coordinates in<em> labels_json</em> do not match the coordinates of the connected components in <em>labels</em>. 2023-09-12 : Some elements exported in the <em>labels</em> directory contained noise, produced by another tool when exporting the annotations from the platform. Images are clean now and noise was removed from the images.
DOI: 10.5281/zenodo.10060677
title: Data and R code for cluster analysis and machine learning modelling of favourite places for outdoor recreation
DOI: 10.5281/zenodo.10060733
title: Corpus_PAIN
DOI: 10.5281/zenodo.10060732
title: Corpus_PAIN
DOI: 10.5281/zenodo.10060645
title: Quantifying leadership in climate negotiations: a social power game

description: This repository contains the datasets and code for the paper "Quantifying leadership in climate negotiations: a social power game" by Carmela Bernardo, Lingfei Wang, Mathias Fridahl, and Claudio Altafini published in PNAS Nexus in 2023.
DOI: 10.5281/zenodo.10060644
title: Quantifying leadership in climate negotiations: a social power game

description: This repository contains the datasets and code for the paper "Quantifying leadership in climate negotiations: a social power game" by Carmela Bernardo, Lingfei Wang, Mathias Fridahl, and Claudio Altafini published in PNAS Nexus in 2023.
DOI: 10.6084/m9.figshare.24473443
title: Whole genome Sanger sequencing of filamentous phage RSCq

description: RSCq is a filamentous phage infecting <i>Ralstonia solanacearum</i>. The whole genome of RSCq was sequenced by Sanger sequencing and the AB1 files are provided here.
DOI: 10.6084/m9.figshare.24473443.v1
title: Whole genome Sanger sequencing of filamentous phage RSCq

description: RSCq is a filamentous phage infecting <i>Ralstonia solanacearum</i>. The whole genome of RSCq was sequenced by Sanger sequencing and the AB1 files are provided here.
DOI: 10.6084/m9.figshare.23751138
title: Results of SPARQL log summarisation on LSQ 2.0

description: This dataset contains the results of applying a method called SPARQL log summarisation on the logs in the Linked SPARQL Queries (LSQ) 2.0 dataset.This release is meant as a companion of the publication describing the method, available in the proceedings of ISWC 2023 (https://doi.org/10.1007/978-3-031-47240-4_11) and in extended pre-print version on figshare (https://doi.org/10.6084/m9.figshare.23751243).<b>Description of the files</b><b>datasetLabels_all.csv</b> association between the identifiers used internally for the datasets and the corresponding labels and full names;<b>datasetLabels_forPaper.csv</b> same as above, with some datasets omitted for brevity;<b>templatesAsCSV.zip</b> list of the templates found for each dataset, along with information and statistics;<b>templatesAsRDF.zip</b> the templates found for each dataset, represented as RDF and linked to the RDF representation of LSQ queries.
DOI: 10.5281/zenodo.8287838
title: ELITE surface longwave upward radiaiton: FY-4A/AGRI hourly 4km all-sky SLUR (2019.01-03)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth's radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).
This dataset is the 4km hourly all-sky SLUR product derived by the hybrid method under clear-sky conditions and the machine learning method under cloudy-sky conditions from the FY-4A/AGRI thermal infrared data, covering the AGRI 4km nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W). The in-situ validation results show that the bias (RMSE) of the retrieved AGRI SLUR are -0.67 (18.5) W/m2 under clear-sky conditions, 1.05 (23.77) W/m2 under cloudy-sky conditions, and -0.26 (19.87) under all-sky conditions, respectively. The temporal resolution and spatial resolution of this dataset are one hour and 4km, respectively.
This is the ELITE FY-4A/AGRI all-sky SLUR product from January to March 2019. Please click here to download the ELITE FY-4A/AGRI all-sky SLUR product from April to June 2019.
Dataset Characteristics:

Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)
Temporal Coverage: 2019
Spatial Resolution: 4 km (subsatellite point)
Temporal Resolution: one hour
Data Format: NC
Scale: 0.01
If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8287839
title: ELITE surface longwave upward radiaiton: FY-4A/AGRI hourly 4km all-sky SLUR (2019.01-03)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth's radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).
This dataset is the 4km hourly all-sky SLUR product derived by the hybrid method under clear-sky conditions and the machine learning method under cloudy-sky conditions from the FY-4A/AGRI thermal infrared data, covering the AGRI 4km nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W). The in-situ validation results show that the bias (RMSE) of the retrieved AGRI SLUR are -0.67 (18.5) W/m2 under clear-sky conditions, 1.05 (23.77) W/m2 under cloudy-sky conditions, and -0.26 (19.87) under all-sky conditions, respectively. The temporal resolution and spatial resolution of this dataset are one hour and 4km, respectively.
This is the ELITE FY-4A/AGRI all-sky SLUR product from January to March 2019. Please click here to download the ELITE FY-4A/AGRI all-sky SLUR product from April to June 2019.
Dataset Characteristics:

Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)
Temporal Coverage: 2019
Spatial Resolution: 4 km (subsatellite point)
Temporal Resolution: one hour
Data Format: NC
Scale: 0.01
If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.10060678
title: Data and R code for cluster analysis and machine learning modelling of favourite places for outdoor recreation
DOI: 10.25838/d5p-52
title: MD simulation data for: "The cyclophilin A binding loop of the capsid regulates the human TRIM5α sensitivity of nonpandemic HIV-1"

description: All MD input structures, MD infiles, umbrella sampling files, and scripts that were used to analyze the umbrella sampling results are provided in this supporting repository.
DOI: 10.5281/zenodo.8033889
title: Serra et al., "Frequency dependence of ocean kinetic energy and respective changes over the period 1983-2018"

description: Data needed to reproduce the figures presented in the article "Frequency dependence of ocean kinetic energy and respective changes over the period 1983-2018" by Serra et al.
DOI: 10.5281/zenodo.8033890
title: Serra et al., "Frequency dependence of ocean kinetic energy and respective changes over the period 1983-2018"

description: Data needed to reproduce the figures presented in the article "Frequency dependence of ocean kinetic energy and respective changes over the period 1983-2018" by Serra et al.
DOI: 10.5281/zenodo.8363591
title: Serra et al., "Frequency dependence of ocean kinetic energy and respective changes over the period 1983-2018"

description: Data needed to reproduce the figures presented in the article "Frequency dependence of ocean kinetic energy and respective changes over the period 1983-2018" by Serra et al.
DOI: 10.6084/m9.figshare.22012589.v6
title: Data, analyses and appendix belonging to: Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations Jacques A. Deere, Isabel M. Smallegange bioRxiv 2023.02.06.527265; doi: https://doi.org/10.1101/2023.02.06.527265

description: Data and R code to run the analyses presented in: "Individual differences in developmental trajectory leave a male polyphenic signature in bulb mite populations" by J.A. Deere & I.M. Smallegange. The readme.txt file explains which analyses use which datafiles.
DOI: 10.5281/zenodo.10060880
title: Full versions of the Tables from the PhD Thesis

description: Full versions of the Tables from the AASS PHD Thesis by Alessandro Coletta:- Main properties of the ALMAGAL clumps sample- ALMAGAL compact source catalog and photometric properties- Estimated physical parameters of the extracted cores
DOI: 10.6084/m9.figshare.21820926
title: 13_Table_SPT_fast.PNG

description: Spatiotemporal parameters during walking at fast walking speed in typically developing children
DOI: 10.6084/m9.figshare.21820926.v1
title: 13_Table_SPT_fast.PNG

description: Spatiotemporal parameters during walking at fast walking speed in typically developing children
DOI: 10.4121/b9f35ef9-28d6-43de-b5d1-a2969aa4f965
title: Raw data for the dissertation "Reader-friendly Edible Binarycodes and Sensors Based on Smart Hydrogel"

description: This is the raw data for the dissertation titled "Reader-friendly Edible Binarycodes and Sensors Based on Smart Hydrogel". This dissertation addresses the critical challenges of counterfeiting and product deterioration in the global food and medicine industries. It introduces four innovative prototypes to tackle these issues. The first prototype establishes a system for creating magnetic microparticles embedded with superparamagnetic colloids, forming binary code matrices for product authentication. The second prototype employs a Physical Unclonable Functions (PUF) algorithm to enhance the safety of On-Dose-Authentication (ODA) binary codes, making them readable even in basic laboratory conditions. The third prototype introduces a humidity indicator that reacts to high humidity by bending and rolling, providing a safe means to detect moisture exposure in food packages. The fourth prototype utilizes an alginate TTI bead encapsulating a natural colorant, betacyanin, to monitor and indicate temperature abuse in perishable products through irreversible thermochromic changes. These innovations hold promise for enhancing product quality control, tracking, and anti-counterfeiting measures in the food and medicine industries. The raw data in this dataset is utilized for generating the visual representations presented in this dissertation.
DOI: 10.4121/b9f35ef9-28d6-43de-b5d1-a2969aa4f965.v1
title: Raw data for the dissertation "Reader-friendly Edible Binarycodes and Sensors Based on Smart Hydrogel"

description: This is the raw data for the dissertation titled "Reader-friendly Edible Binarycodes and Sensors Based on Smart Hydrogel". This dissertation addresses the critical challenges of counterfeiting and product deterioration in the global food and medicine industries. It introduces four innovative prototypes to tackle these issues. The first prototype establishes a system for creating magnetic microparticles embedded with superparamagnetic colloids, forming binary code matrices for product authentication. The second prototype employs a Physical Unclonable Functions (PUF) algorithm to enhance the safety of On-Dose-Authentication (ODA) binary codes, making them readable even in basic laboratory conditions. The third prototype introduces a humidity indicator that reacts to high humidity by bending and rolling, providing a safe means to detect moisture exposure in food packages. The fourth prototype utilizes an alginate TTI bead encapsulating a natural colorant, betacyanin, to monitor and indicate temperature abuse in perishable products through irreversible thermochromic changes. These innovations hold promise for enhancing product quality control, tracking, and anti-counterfeiting measures in the food and medicine industries. The raw data in this dataset is utilized for generating the visual representations presented in this dissertation.
DOI: 10.6084/m9.figshare.21820932
title: 18_Table_SPT_slow.PNG

description: Spatiotemporal parameters during walking at slow walking speed in typically developing children
DOI: 10.6084/m9.figshare.21820932.v1
title: 18_Table_SPT_slow.PNG

description: Spatiotemporal parameters during walking at slow walking speed in typically developing children
DOI: 10.6084/m9.figshare.21820884
title: 01_Demo_PhysEx.xlsx

description: Subject demographics
DOI: 10.6084/m9.figshare.21820884.v1
title: 01_Demo_PhysEx.xlsx

description: Subject demographics
DOI: 10.6084/m9.figshare.21820890.v1
title: 02_Overview_comf.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for every valid step (250 steps recorded) of both legs, while walking at comfortable walking speed.
DOI: 10.6084/m9.figshare.21820890
title: 02_Overview_comf.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for every valid step (250 steps recorded) of both legs, while walking at comfortable walking speed.
DOI: 10.6084/m9.figshare.21820893
title: 04_Overview_slow.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for every valid step (250 steps recorded) of both legs, while walking at slow walking speed (30% slower than comfortable).
DOI: 10.6084/m9.figshare.21820893.v1
title: 04_Overview_slow.xlsx

description: This dataset includes spatiotemporal parameters, stability parameters, 3D joint angles, joint moments and joint power for every moment in the gait cycle (0-100%) for every valid step (250 steps recorded) of both legs, while walking at slow walking speed (30% slower than comfortable).