cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6444455.v1
title: converted.zip

description: A Área de Proteção Ambiental (APA) Capivari-Monos é uma unidade de conservação localizada no município de São Paulo. Está inserida do domínio da Floresta Atlântica, que é conhecido pela sua vasta biodiversidade. Apesar disso, a área não possui muitas informações sobre sua flora, além dos dados presentes em seu plano de manejo. Dessa forma, visando um maior conhecimento da diversidade existente na APA Capivari-Monos, foram realizadas coletas de materiais botânicos. Com os dados obtidos foi possível notar uma discrepância com o levantamento existente e a necessidade de mais estudos na região.
DOI: 10.6084/m9.figshare.6444428
title: Sequencing files

description: These are raw sequencing files.
DOI: 10.6084/m9.figshare.6444428.v1
title: Sequencing files

description: These are raw sequencing files.
DOI: 10.6084/m9.figshare.6444416
title: Sequencing Alignments

description: These are alignments done in ApE using sequencing DATA
DOI: 10.6084/m9.figshare.6444416.v1
title: Sequencing Alignments

description: These are alignments done in ApE using sequencing DATA
DOI: 10.6084/m9.figshare.6444347
title: Ulisses_Datapaper.csv

description: O estado de São Paulo possui vegetação muito diversificada com uma grande quantidade espécies, em diferentes ecossistemas. Ao longo dos anos essa vegetação vem sofrendo grande pressão com desenvolvimento de atividades humanas. Com o intuito de conter a devastação desenfreada da vegetação paulista, os órgãos públicos e agências ambientais exigem estudos florísticos para o desenvolvimento de atividades que gerem algum impacto ambiental, com o intuito de qualificar o ambiente e fornecer informações para que haja a compensação ambiental equivalente. Desta forma, este trabalho tem como objetivo contribuir com o conhecimento sobre a flora de localidades onde foram realizados estudos ambientais de áreas com interesse de supressão ou de conservação da vegetação, no estado de São Paulo.
DOI: 10.6084/m9.figshare.6444347.v1
title: Ulisses_Datapaper.csv

description: O estado de São Paulo possui vegetação muito diversificada com uma grande quantidade espécies, em diferentes ecossistemas. Ao longo dos anos essa vegetação vem sofrendo grande pressão com desenvolvimento de atividades humanas. Com o intuito de conter a devastação desenfreada da vegetação paulista, os órgãos públicos e agências ambientais exigem estudos florísticos para o desenvolvimento de atividades que gerem algum impacto ambiental, com o intuito de qualificar o ambiente e fornecer informações para que haja a compensação ambiental equivalente. Desta forma, este trabalho tem como objetivo contribuir com o conhecimento sobre a flora de localidades onde foram realizados estudos ambientais de áreas com interesse de supressão ou de conservação da vegetação, no estado de São Paulo.
DOI: 10.6084/m9.figshare.6444320
title: Additional file 7: of Evolutionary divergence of 3â UTRs in cichlid fishes

description: Table S6. GO annotations of the selected genes with relatively longest and fastest-evolving 3â UTRs in cichlid fishes. (XLSX 35 kb)
DOI: 10.6084/m9.figshare.6444320.v1
title: Additional file 7: of Evolutionary divergence of 3â UTRs in cichlid fishes

description: Table S6. GO annotations of the selected genes with relatively longest and fastest-evolving 3â UTRs in cichlid fishes. (XLSX 35 kb)
DOI: 10.6084/m9.figshare.6444311
title: Additional file 6: of Evolutionary divergence of 3â UTRs in cichlid fishes

description: Table S5. Predicted miRNA targets in the focal nine teleost fish species. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6444311.v1
title: Additional file 6: of Evolutionary divergence of 3â UTRs in cichlid fishes

description: Table S5. Predicted miRNA targets in the focal nine teleost fish species. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.6444308
title: Additional file 7: of A major locus controls local adaptation and adaptive life history variation in a perennial plant

description: Table S6. Average values of 39 environmental variables over the years 2002â 2012 for the original sample location of 94 P. tremula individuals used in this study. (XLSX 64 kb)
DOI: 10.5281/zenodo.7229213
title: Soil Organic Carbon Content estimations over the Lithuanian pilot area (2021)

description: In the context of the EU-funded project DIONE (No. 870378), Soil Organic Carbon Content (SOC) estimations have been released as outputs of novel machine learning algorithms which combined the point measurements (i.e. soil properties detected by the Soil Scanning Systems) with temporal EO multispectral imagery and other ancillary variables, enabling end-users, and for the DIONE case, the national paying agency of Lithuania (National Paying Agency - NPA) to mine meaningful information about overall soil health and the effects applied agricultural practices at a parcel level. The dataset is delivered in a shapefile format (DIONE_SOC_estimations_LT_2021.shp - EPSG:3346) containing the SOC content (SOC %) labeled as SOC.
DOI: 10.5281/zenodo.7229212
title: Soil Organic Carbon Content estimations over the Lithuanian pilot area (2021)

description: In the context of the EU-funded project DIONE (No. 870378), Soil Organic Carbon Content (SOC) estimations have been released as outputs of novel machine learning algorithms which combined the point measurements (i.e. soil properties detected by the Soil Scanning Systems) with temporal EO multispectral imagery and other ancillary variables, enabling end-users, and for the DIONE case, the national paying agency of Lithuania (National Paying Agency - NPA) to mine meaningful information about overall soil health and the effects applied agricultural practices at a parcel level. The dataset is delivered in a shapefile format (DIONE_SOC_estimations_LT_2021.shp - EPSG:3346) containing the SOC content (SOC %) labeled as SOC.
DOI: 10.5517/ccdc.csd.cc27zp31
title: CCDC 2085063: Experimental Crystal Structure Determination

description: Related Article: Alex Man-Hei Yip, Calvin Kin-Ho Lai, Ken Shek-Man Yiu, Kenneth Kam-Wing Lo|2022|CSD Communication|||
description: Related Article: Alex Man‐Hei Yip, Calvin Kin‐Ho Lai, Ken Shek‐Man Yiu, Kenneth Kam‐Wing Lo|2022|Angew.Chem.,Int.Ed.|61|e202116078|doi:10.1002/anie.202116078
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: 10.5281/zenodo.7229229
title: Soil Organic Carbon Content estimations over the Cypriot pilot area (2021)

description: In the context of the EU-funded project DIONE (No. 870378), Soil Organic Carbon Content (SOC) estimations have been released as outputs of novel machine learning algorithms which combined the point measurements (i.e. soil properties detected by the Soil Scanning Systems) with temporal EO multispectral imagery and other ancillary variables, enabling end-users, and for the DIONE case, the national paying agency of Cyprus (Cyprus Agricultural Payments Organisation - CAPO) to mine meaningful information about overall soil health and the effects applied agricultural practices at a parcel level. The dataset is delivered in a shapefile format (DIONE_SOC_estimations_CY_2021.shp - EPSG: 4326) containing the SOC content (SOC %) labeled as SOC.
DOI: 10.5281/zenodo.7229228
title: Soil Organic Carbon Content estimations over the Cypriot pilot area (2021)

description: In the context of the EU-funded project DIONE (No. 870378), Soil Organic Carbon Content (SOC) estimations have been released as outputs of novel machine learning algorithms which combined the point measurements (i.e. soil properties detected by the Soil Scanning Systems) with temporal EO multispectral imagery and other ancillary variables, enabling end-users, and for the DIONE case, the national paying agency of Cyprus (Cyprus Agricultural Payments Organisation - CAPO) to mine meaningful information about overall soil health and the effects applied agricultural practices at a parcel level. The dataset is delivered in a shapefile format (DIONE_SOC_estimations_CY_2021.shp - EPSG: 4326) containing the SOC content (SOC %) labeled as SOC.
DOI: 10.5519/qd.397882rp
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (77 records)
DOI: 10.25405/data.ncl.21270309
title: Welltops_SNS

description: Well top data for over 90 wells from the SNS. Data is part of data set from the paper on the internal structural facies of the Zechstein in the southern north sea on the United Kingdoms continental shelf
DOI: 10.25405/data.ncl.21270309.v1
title: Welltops_SNS

description: Well top data for over 90 wells from the SNS. Data is part of data set from the paper on the internal structural facies of the Zechstein in the southern north sea on the United Kingdoms continental shelf
DOI: 10.5281/zenodo.7229269
title: JSON file of the AST of a C program

description: This piece of code is randomly chosen in Software Heritage popular piece of code. It is selected<br> by the size of its AST. To generate the AST the command is: <br> `clang -Xclang -ast-dump=json -fsyntax-only parse_date.c &gt; ast.json`<br>
DOI: 10.5281/zenodo.7229268
title: JSON file of the AST of a C program

description: This piece of code is randomly chosen in Software Heritage popular piece of code. It is selected<br> by the size of its AST. To generate the AST the command is: <br> `clang -Xclang -ast-dump=json -fsyntax-only parse_date.c &gt; ast.json`<br>
DOI: 10.6084/m9.figshare.21370086
title: pcs

description: Excel data
DOI: 10.5281/zenodo.7229287
title: Json file from Twitter API used for benchmarking Jsonpath

description: A JSON file used as an example in several software (such as SIMDJson) to illustrate queries and to benchmark some tools.
DOI: 10.5281/zenodo.7229286
title: Json file from Twitter API used for benchmarking Jsonpath

description: A JSON file used as an example in several software (such as SIMDJson) to illustrate queries and to benchmark some tools.
DOI: 10.5281/zenodo.4329382
title: Covid-19 automated diagnosis and risk assessment through Metabolomics and Machine Learning

description: COVID-19 plasma samples spectrometry datasets for machine learning input. Used in the work of article Covid-19 automated diagnosis and risk assessment through Metabolomics and Machine Learning, currently under submittion. Abstract: COVID-19 is still placing a heavy health and financial burden worldwide. Impairments in patient screening and risk management play a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary countermeasures, especially in regions where poverty is a major component in the equation. An efficient diagnostic method must be highly accurate, while having a cost-effective profile. We combined a machine learning-based algorithm with mass spectrometry to create an expeditious platform that discriminate COVID-19 in plasma samples within minutes, while also providing tools for risk assessment, to assist healthcare professionals in patient management and decision-making. A cross-sectional study with 815 patients (442 COVID-19, 350 controls and 23 COVID-19 suspicious) was enrolled from three Brazilian epicenters from April to July 2020. We were able to elect and identify 19 molecules that are related to the disease’s pathophysiology and several discriminating features to patient’s health-related outcomes. The method applied for COVID-19 diagnosis showed specificity &gt;96% and sensitivity &gt;83%, and specificity &gt;80% and sensitivity &gt;85% during risk assessment, both from blinded data. Our method introduced a new approach for COVID-19 screening, providing the indirect detection of infection through metabolites and contextualizing the findings the disease’s pathophysiology. The pairwise analysis of biomarkers brought robustness to the model developed using Machine Learning algorithms, transforming this screening approach in a tool with great potential for real-world application.
DOI: 10.5281/zenodo.4329381
title: Covid-19 automated diagnosis and risk assessment through Metabolomics and Machine Learning

description: COVID-19 plasma samples spectrometry datasets for machine learning input. Used in the work of article Covid-19 automated diagnosis and risk assessment through Metabolomics and Machine Learning, currently under submittion. Abstract: COVID-19 is still placing a heavy health and financial burden worldwide. Impairments in patient screening and risk management play a fundamental role on how governments and authorities are directing resources, planning reopening, as well as sanitary countermeasures, especially in regions where poverty is a major component in the equation. An efficient diagnostic method must be highly accurate, while having a cost-effective profile. We combined a machine learning-based algorithm with mass spectrometry to create an expeditious platform that discriminate COVID-19 in plasma samples within minutes, while also providing tools for risk assessment, to assist healthcare professionals in patient management and decision-making. A cross-sectional study with 815 patients (442 COVID-19, 350 controls and 23 COVID-19 suspicious) was enrolled from three Brazilian epicenters from April to July 2020. We were able to elect and identify 19 molecules that are related to the disease’s pathophysiology and several discriminating features to patient’s health-related outcomes. The method applied for COVID-19 diagnosis showed specificity &gt;96% and sensitivity &gt;83%, and specificity &gt;80% and sensitivity &gt;85% during risk assessment, both from blinded data. Our method introduced a new approach for COVID-19 screening, providing the indirect detection of infection through metabolites and contextualizing the findings the disease’s pathophysiology. The pairwise analysis of biomarkers brought robustness to the model developed using Machine Learning algorithms, transforming this screening approach in a tool with great potential for real-world application.
DOI: 10.5281/zenodo.7221089
title: DBDIpy Demo Dataset

description: Demonstrational and Tutorial Dataset for the DBDIpy Python library. See https://github.com/leopold-weidner/DBDIpy for more information.
DOI: 10.5281/zenodo.7221088
title: DBDIpy Demo Dataset

description: Demonstrational and Tutorial Dataset for the DBDIpy Python library. See https://github.com/leopold-weidner/DBDIpy for more information.
DOI: 10.20375/0000-000f-7475-b
title: DIF_08.2022-info.pdf
DOI: 10.20375/0000-000f-7476-a
title: DIF_08.2022-questionnaire.pdf
DOI: 10.20375/0000-000f-7477-9
title: DIF_08.2022.sav
DOI: 10.20375/0000-000f-7478-8
title: DIF_08.2022.xlsx
DOI: 10.20375/0000-000f-7479-7
title: SelectedResults.pdf
DOI: 10.48320/faed92fc-d800-4ece-9481-7ef2b08cdd4a
title: The Political Mood in Ukraine (Ilko Kucheriv Democratic Initiatives Foundation)
DOI: 10.34740/kaggle/dsv/4355973
title: Ukraine Conflict Twitter Dataset (53.73M tweets)
DOI: 10.20375/0000-000f-747b-5
title: COVID-19.SPb.Readme.pdf
DOI: 10.20375/0000-000f-747c-4
title: COVID-19.SPb.zip
DOI: 10.48320/bc161481-efd8-47e1-9db2-5fef59feefa9
title: COVID-19.SPb. Coronavirus epidemics in St. Petersburg, Russia
DOI: 10.15124/314ed070-65e2-466f-828e-f04d2c0de96d
title: Structure and properties of a model conductive filament/host oxide interface in HfO2-based ReRAM

description: Input and output files for a series of density functional theory calculations of HfO2, HfO and the interface between these phase as well as associated analysis. The results of these calculations are presented in the publication 'Structure and properties of a model conductive filament/host oxide interface in HfO2-based ReRAM'.
DOI: 10.6084/m9.figshare.20348031.v1
title: One clone to rule them all: Culture-independent genomics of Chlamydia psittaci from equine and avian hosts in Australia

description: Supplementary Material for ‘One clone to rule them all: Culture-independent genomics of Chlamydia psittaci from equine and avian hosts in Australia’, as published in Microbial Genomics.
DOI: 10.5281/zenodo.7229218
title: Datasets for "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones".

description: This repository contains the 7-year averaged files from runs TATL10 and TATL3 used in the manuscript "High-resolution, basin-scale simulations reveal the impact of intermediate zonal jets on the Atlantic oxygen minimum zones". Additional files include the CARS oxygen climatology and the CMEMS model output used in the study.
DOI: 10.15124/3c8e28bd-3562-4b90-8c4a-1b879cd95d42
title: Accuracy of electron densities obtained via Koopmans-compliant hybrid functionals

description: All data shown in the figures presented in the paper 'Accuracy of electron densities obtained via Koopmans-compliant hybrid functionals'.
DOI: 10.15124/4e9cd832-9cce-41c8-8335-c88cf32fe244
title: Raw data from Newland et al., 2018, ACP, Monoterpene SCI

description: Measurements of SO2 and O3 taken during REACT-SCI campaign at EUPHORE, Valencia, 2013, used in Newland et al., 2018, ACP, to derive SCI yields and SCI rates of reaction with water and decomposition.
DOI: 10.15124/79831fca-e42e-4d41-b0eb-4e0f971ab167
title: Dataset for New Synthetic Strategies and Disconnections in the Synthesis of Liquid Crystals Enabled by Photoredox Cross-Coupling Reactions

description: Contains 1H and 13C NMR data for materials reported in this manuscript
DOI: 10.15124/d76beb18-028e-41e6-9215-4e1fbb881579
title: First principles modelling of polaron formation in TiO2 polymorphs

description: CP2O input files, bulk structures and optimised polaron configurations for the paper 'First principles modelling of polaron formation in TiO2 polymorphs'.
DOI: 10.15124/91682fcd-13d1-4b0c-8fd7-4a6cbc48b775
title: York +ve wellbeing locations

description: Spatial location of points associated with positive wellbeing - identified by cohort of older people (55+years) in York using mixture of qualitative interview analysis, photo-diary evaluation and participatory mapping
DOI: 10.15124/e6a267f9-e48d-4870-9147-d52e463822b6
title: York -ve wellbeing locations

description: Spatial location of points associated with negative wellbeing - identified by cohort of older people (55+years) in York using mixture of qualitative interview analysis, photo-diary evaluation and participatory mapping
DOI: 10.15124/b99b79d9-c93c-4592-9937-070bfb169cf6
title: Hexham -ve wellbeing locations

description: Spatial location of points associated with negative wellbeing - identified by cohort of older people (55+years) in Hexham using mixture of qualitative interview analysis, photo-diary evaluation and participatory mapping
DOI: 10.15124/fa63626f-e4d3-45a2-8ce0-8c8149c135b5
title: Hexham +ve wellbeing locations

description: Spatial location of points associated with positive wellbeing - identified by cohort of older people (55+years) in Hexham using mixture of qualitative interview analysis, photo-diary evaluation and participatory mapping
DOI: 10.15124/d2c2a8a3-453b-40a9-81f3-bac43c9e0f10
title: York10183_1mWidth

description: Location of York pavements with sections of width less than 1m
DOI: 10.15124/3d0cc31d-afc5-4a58-94cb-202e5c987474
title: York10183_1_5mWidth

description: Location of York pavements with sections with widths less than 1.5m
DOI: 10.15124/91a46703-7b46-4f60-bef0-892e51ff840c
title: York10183_2mWidth

description: York pavements with sections with widths less than 2m
DOI: 10.15124/5232644c-4ff8-4270-98cb-32c950bf1335
title: Leeds -ve wellbeing locations

description: Spatial location of points associated with negative wellbeing - identified by cohort of older people (55+years) in Leeds using participatory mapping
DOI: 10.15124/47b9174d-fdf9-4f56-aa7e-74c83cff429f
title: Leeds +ve wellbeing locations

description: Spatial location of points associated with positive wellbeing - identified by cohort of older people (55+years) in Leeds using participatory mapping
DOI: 10.15124/8ce8892a-39b8-4cbc-89d8-95abf949cdda
title: PGIS Topic Guide

description: Topic guide for running Co-motion PGIS data collection
DOI: 10.15124/b8dcc5a4-7933-4608-91b8-f63e6d8868bf
title: Dataset for: Inexpensive, Operationally Simple Flow Reactor for Rapid, Chromatography Free Synthesis of Siloxane Based Liquid Crystals

description: contains NMR (1H, 13C, 13C DEPT135, 29Si) data files and raw SWAXS files in .gfrm format
DOI: 10.15124/13553c38-d304-4ac9-ac3f-62ae4b49a4bd
title: Dataset for: Optically Active Bimesogens Incorporating Branched Central Spacers

description: Contains NMR and SAXS data for the paper "Optically Active Bimesogens Incorporating Branched Central Spacers"
DOI: 10.15124/f2f2133b-e404-46c0-a901-bacbb1d4b1ac
title: Raw data for the paper 'Dearomatizing Spiroannulation Reagents: Direct Access to Spirocycles from Indoles and Dihalides'

description: Raw data for the paper 'Dearomatizing Spiroannulation Reagents: Direct Access to Spirocycles from Indoles and Dihalides'. 1H NMR, 13C NMR, HRMS and IR data for all of the novel compounds in this manuscript. Data are arranged in folders, labeled with a summary description of the compound based on its precursor indole and spiroclip reagent.
DOI: 10.15124/787c110d-2093-47c9-aefb-7e7d2f57c53a
title: Wann - Dimethylaminobenzonitrile data from calculations and from gas electron diffraction

description: Calculations and gas electron diffraction data related to the GED study of dimethylaminobenzonitrile prepared for publication.
DOI: 10.15124/d8da14f6-7e6d-418b-9385-397f41ec31b2
title: Dataset for: Condensation of free volume in structures of nematic and hexatic liquid crystals

description: Contains NMR (1H, 13C), MS, IR data as well as Gaussian in/out files pertinent to the paper "Condensation of free volume in structures of nematic and hexatic liquid crystals", published in Liquid Crystals 2018.
DOI: 10.15124/6f39c889-9f7a-4e85-8148-2146cff651a7
title: Data for Renewable Self-Blowing Non-isocyanate Polyurethane Foams from Lysine and Sorbitol

description: Original research data
DOI: 10.15124/01dbd626-1e7a-473f-81bd-1ede6b3a935d
title: SABRE hyperpolarization enables high-sensitivity 1H and 13C benchtop NMR spectroscopy

description: All raw 1H and 13C NMR data associated with publication of the same name in Analyst.
DOI: 10.15124/a020a16b-cacb-4237-bc0e-0bb926f2c853
title: "Back-to-Front" Indole Synthesis using Silver(I) Catalysis: Unexpected C-3 Pyrrole Activation Mode Supported by DFT

description: Raw data for "Back-to-Front" Indole Synthesis using Silver(I) Catalysis: Unexpected C-3 Pyrrole Activation Mode Supported by DFT. Unprocessed raw NMR data (1H and 13C) and copies of IR spectra and mass spectrometry data.
DOI: 10.15124/532f9f5a-5115-461d-9e99-eecbf9c586dd
title: Data relative to 'Measuring adiabaticity in nonequilibrium quantum systems'

description: Set of files containing the data as included in the figures of the paper Funded by EPSRC via PhD studentship
DOI: 10.15124/ba6b5031-5ec6-4e12-ab17-d8813551a04f
title: Data related to 'Metrics for two electron random potential systems'

description: Set of files with data included in the figures. Funded by EPSRC via PhD studentship
DOI: 10.15124/5673e95b-ffa2-4552-9ae9-53e6e6d120ed
title: Synthesis of 2-Spiropiperidines

description: Spectroscopic data (NMRs, MS, IR) collected during the PhD of Samuel Griggs on the project GSK 3D Piperidine CASE PhD