cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/d7wm6y49nn.1
title: УПРАВЛЕНИЕ ФИНАНСОВЫМИ РИСКАМИ В ПУБЛИЧНЫХ РОССИЙСКИХ КОМПАНИЯХ НЕФТЕГАЗОВОЙ ОТРАСЛИ

description: Изучение влияния финансовых рисков на ключевые показатели деятельности компаний нефтегазовой отрасли России и других стран при условии, что рынок углеводородов общий для этих компаний, а российские компании, находятся под влиянием санкций.
- сбор данных по финансовым показателям публичных компаний за сопоставимый период (рыночная капитализация, стоимость активов, показатели долговой нагрузки, рентабельность, ликвидности и пр.)
- проведение описательного анализа полученных выборок, построение предварительных выводов - построение эконометрических моделей, проверка устойчивости и интерпретация результатов, теоретические выводы, идеи к доработке моделей и теоретического исследования 
- практическое применение полученных результатов
Исследовательский вопрос: есть ли различия направлений влияния финансовых рисков на ключевые показатели деятельности компаний нефтегазовой отрасли России и других стран при условии, что рынок углеводородов общий для этих компаний, а российские компании, находятся под влиянием санкций?

Для анализа подверженности компаний нефтегазового сектора финансовым рискам в данном исследовании будут использованы панельные данные за 13 периодов (ежегодные, с 2010 по 2022) о 17 нефтегазовых компаниях (8 российских и 9 иностранных).
Содержание данных: 
1) MCit – Рыночная капитализация компании i в год t, млн. долл. США; 
2) Log_MCit – натуральный логарифм рыночной капитализации компании i в год t; 
3) TAit – Суммарные активы компании i в год t, млн. долл. США;
4) Log_TAit – натуральный логарифм суммарных активов компании i в год t;
5) QTit – Q-Тобина компании i в год t;
6) Levit – отношение заемного капитала к собственному компании i в год t, %;
7) CurRatioit – коэффициент ликвидности компании i в год t;
8) CapExit – капитальные расходы компании i в год t, млн. долл. США;
9) CapexIntit – отношение капитальных расходов к суммарным активам компании i в год t;
10) ROAit – рентабельность активов компании i в год t, %;
11) ROEit – рентабельность собственного капитала компании i в год t, %;
12) E_Scoreit – часть ESG-рейтинга компании i в год t, касающаяся окружающей среды;
13) S_Scoreit – часть ESG-рейтинга компании i в год t, касающаяся общества;
14) G_Scoreit – часть ESG-рейтинга компании i в год t, касающаяся качества управления;
15) CovYeart – бинарная переменная, 1 – ковидный год (2020-2022), 0 – иначе;
16) Countryi – бинарная переменная, 1 – компания не из РФ, 0 – иначе.
DOI: 10.17632/2ddr8wbnpb.1
title: Code for JUE paper Agglomeration Economies and the Built Environment: Evidence from Specialized Buildings and Anchor Tenants

description: Program code for this paper is posted here. We are not able to share or post the data used for the paper because of its proprietary nature.
DOI: 10.17632/78yk2gzmd2.1
title: data_for_disser_20240224

description: The dataset is based on data from Russian companies for the period from 2015 to 2022. It is used to calculate the intellectual capital of the company. The indicators will be used to study the impact of the company's intellectual capital indicators on the company's market and financial performance.
DOI: 10.17632/9vpyvx3bf8.1
title: Development of EMG-guided QUADRICORE exercise protocol targeting myofascial slings and exploring its efficacy on core and limb performance

description: Muscles connected along a common fascia forming the myofascial slings would work better to stabilize the lumbopelvic region and thereby help strengthen the core and limb functions in a more comprehensive method than through individual means of training. Hence the purpose of the study was to develop a novel ‘Quadricore’ exercise protocol and evaluate its effects on core strength and functional performance. The development of the protocol was based on kinesio-EMG analysis on 6 athletes who performed 15 exercises including all the 4 slings out of which 8 exercises were included in the protocol. For validation, a pilot study was done with plank hold as the outcome measure in which participants were trained thrice a week for 4 weeks which showed significant improvement. This validated protocol was then tested on 18 healthy individuals on outcome measures like, plank hold test, seated medicine ball throw, and gait speed, and a pre–post evaluation was taken.
DOI: 10.17632/md8vxcdrhh.1
title: Ambient ultraviolet radiation and cutaneous angiosarcoma incidence

description: Supplementary materials for study of ambient ultraviolet radiation and cutaneous angiosarcoma incidence.
DOI: 10.5258/soton/d2889
title: The dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)"

description: This dataset is supporting the Doctoral Thesis "Adaptation and diversification in the Canary island endemic Descurainia (Brassicaceae)" by Amy Jackson

The dataset includes Desc_genome_files.zip
DOI: 10.5281/zenodo.10708257
title: Structural color from pigment-loaded nanostructures

description: This Zenodo repository contains data supporting the paper “Structural color from pigment-loaded

nanostructures”, Tianqi Sai, Luis S. Froufe-Pérez, Frank Scheffold, Bodo D. Wilts, and Eric R. Dufresne. Soft Matter, 19, 7717,2023. DOI: 10.1039/d3sm00961k https://pubs.rsc.org/en/content/articlelanding/2023/sm/d3sm00961k
DOI: 10.5281/zenodo.10708258
title: Structural color from pigment-loaded nanostructures

description: This Zenodo repository contains data supporting the paper “Structural color from pigment-loaded

nanostructures”, Tianqi Sai, Luis S. Froufe-Pérez, Frank Scheffold, Bodo D. Wilts, and Eric R. Dufresne. Soft Matter, 19, 7717,2023. DOI: 10.1039/d3sm00961k https://pubs.rsc.org/en/content/articlelanding/2023/sm/d3sm00961k
DOI: 10.14284/657
title: Predictive modelling of Atlantic herring distribution in the Northeast Atlantic for informed decision-making. Dataset and calculations

description: With the withdrawal of the United Kingdom from the European Union, equal access to the British waters under the Common Fisheries Policy ends. This will likely result in reduced catches for the Belgian fishing fleet that mainly targets demersal fish. Alternative fishing grounds and fishing techniques, such as pelagic fishing, could mitigate such losses. This study aims to help pinpoint where and when pelagic fishing could be reintroduced by looking at the geographical distribution of the targeted fish through different seasons. This was done by developing spatiotemporal species distribution models for adult Atlantic herring, Clupea harengus, an economically important pelagic fish species in the Northeast Atlantic, with specific attention to the implications for the Belgian Part of the North Sea. Maximum entropy (Maxent) models were fitted successfully for adult (AUC of 0.7 and TSS of 0.3) and larval (AUC of 0.9 and TSS of 0.7) life stages of herring. The spatiotemporal distribution of adult herring spans a wide area across the Northeast Atlantic throughout the whole year. Regional differences show that adults are most likely to occur in the Belgian Part of the North Sea during winter months, co-occurring with the presence of their larvae. Interestingly, our study also found a negative correlation (-0.7) between winter habitat suitability for larvae in the Belgian Part of the North Sea and autumn North Atlantic Oscillation (NAO) indices. We anticipate that these results will inform policy makers to seasonally manage fisheries in the Belgian Part of the North Sea and the Northeast Atlantic in general.
DOI: 10.6084/m9.figshare.25287742
title: <b>MagGen: A graph aided deep generative model for inverse design of permanent magnets</b>

description: The training dataset and VAE script are provided here.
DOI: 10.6084/m9.figshare.22040828
title: phenology_Hainich_2000_2020.zip

description: This dataset of the phenology of the Hainich National Park, Germany, from 2000 to 2020, determined via different methodologies, belongs to the paper "<b>Decoding autumn phenology: Unraveling the link between observation methods and detected environmental cues</b>", which was submitted to <i>Global Change Biology</i><i>.</i>
DOI: 10.6084/m9.figshare.25288681
title: <b>Genotypes by Environment Interaction and Yield Stability Analysis in Common Bean Genotypes Grown in Dawuro Zone, Ethiopia</b>

description: Genotype by environment interactions.<br>
DOI: 10.6084/m9.figshare.25288681.v1
title: <b>Genotypes by Environment Interaction and Yield Stability Analysis in Common Bean Genotypes Grown in Dawuro Zone, Ethiopia</b>

description: Genotype by environment interactions.<br>
DOI: 10.20387/bonares-5wev-dh8x
title: Temperate agroforestry and monoculture - roots, gross N mineralization, microbial biomass C and N, trace gases, water storage, nutrient leaching

description: This dataset contains soil functional characteristics collected between 2016 and 2017 on five sites of cropland and grassland agroforestry and adjacent monocultures in Germany. Four replicates each were measured within the tree row and at 1m, 4m, 7m and/or 24m distances from the tree row in agroforestry, as well as in the monocultures.

Research domain: Ecology of Agricultural Landscapes

Research question: Does temperate agroforestry have an advantage over monocultures in providing soil functions?

Dataset version 1.0
DOI: 10.20387/bonares-x9b0-z5bg
title: BonaRes SIGNAL: Soil Saturated Hydraulic Conductivity at Dornburg, Forst, and Wendhausen 2019

description: Values for soil saturated hydraulic conductivity (KSAT) obtained from paired cropland agroforestry and monoculture systems in Dornburg, Forst, and Wendhausen during 2019 are included in this dataset. In-tact soil cores (250 cc) were collected from 12.5 cm depth in the soil from replicate plots in monocultures and within the crop row at 7 m distance from the tree row and within the tree row of agroforesatry systems. Data was collected using falling or constant head method with a KSAT instrument (Meter Group Inc., Pullman WA USA).
DOI: 10.20387/bonares-g45n-vz2s
title: Phytopathogens and nifH genes for SIGNAL synthesis

description: Z-score standardised phytopathogens in barley, wheat and oilseed rape and nifH gene copies in soil in paired temperate agroforestry and monoculture cropland systems.

Research domain: Soil Sciences

Research question:
DOI: 10.20387/bonares-kxsb-xp7a
title: Potential hydrolytic enzyme activitiy (β-glucosidase) of topsoils in alley cropping systems at different distances of trees

description: Potential hydrolytic enzyme activities were analysed according to Marx et al. (2001) with the fluorescently labelled substrate based on 4-MUF-β-D glucopyranoside. The enzyme contributes to the degradation of cellulose.
Marx MC,Wood M, Jarvis SC (2001) Amicroplate fluorimetric assay for the study of enzyme diversity in soils. Soil Biol Biochem 33:1633–1640
Soil samples were sampled in 0-5 cm in October/November 2015

Research domain: Soil Sciences

Research question: Spatial distribution of soil quality indicators in topsoils at three German silvo-arable ACS and effect of distance of trees and soil abiotic parameters on microbial soil properties.
DOI: 10.5281/zenodo.10687695
title: Data and R scripts for the article "Morphologic, genetic, and biogeographic continua among subspecies hinder the conservation of threatened taxa: the case of Centaurea aspera ssp. scorpiurifolia (Asteraceae)"

description: This are the data and R scripts from the article "Morphologic, genetic, and biogeographic continua among subspecies hinder the conservation of threatened taxa: the case of Centaurea aspera ssp. scorpiurifolia (Asteraceae)". DOI: https://doi.org/10.1038/s41598-022-04934-4

Centaurea aspera ssp. scorpiurifolia is a threatened taxon endemic to Andalusia (Spain), which coexists in most of its distribution area with similar taxa. Because of the difficulty to identify it using morphology alone, we aimed to sample all the populations cited as ssp. scorpiurifolia as exhaustively as possible, morphologically characterise them, and analyse their genetic structuring using microsatellites, to better understand difficulties when conserving subspecies. Three different Centaurea species were found which were easily identified. Within C. aspera, two genetic populations and some admixed individuals were observed, one including ssp. scorpiurifolia individuals and the other including individuals identified as subspecies aspera, stenophylla, and scorpiurifolia. A morphological continuum between these two genetic populations and a wide overlapping of their biogeographic distribution were also found. This continuum can affect the conservation of ssp. scorpiurifolia because of potential misidentifications and harmful effects of subspecific hybridization. Misidentifications could be partly overcome by using as many different traits as possible, and conservation priority should be given to populations representative of the ends of this continuum.
DOI: 10.5281/zenodo.10680689
title: Data and R scripts for the article "Morphologic, genetic, and biogeographic continua among subspecies hinder the conservation of threatened taxa: the case of Centaurea aspera ssp. scorpiurifolia (Asteraceae)"

description: This are the data and R scripts from the article "Morphologic, genetic, and biogeographic continua among subspecies hinder the conservation of threatened taxa: the case of Centaurea aspera ssp. scorpiurifolia (Asteraceae)". DOI: https://doi.org/10.1038/s41598-022-04934-4

Centaurea aspera ssp. scorpiurifolia is a threatened taxon endemic to Andalusia (Spain), which coexists in most of its distribution area with similar taxa. Because of the difficulty to identify it using morphology alone, we aimed to sample all the populations cited as ssp. scorpiurifolia as exhaustively as possible, morphologically characterise them, and analyse their genetic structuring using microsatellites, to better understand difficulties when conserving subspecies. Three different Centaurea species were found which were easily identified. Within C. aspera, two genetic populations and some admixed individuals were observed, one including ssp. scorpiurifolia individuals and the other including individuals identified as subspecies aspera, stenophylla, and scorpiurifolia. A morphological continuum between these two genetic populations and a wide overlapping of their biogeographic distribution were also found. This continuum can affect the conservation of ssp. scorpiurifolia because of potential misidentifications and harmful effects of subspecific hybridization. Misidentifications could be partly overcome by using as many different traits as possible, and conservation priority should be given to populations representative of the ends of this continuum.
DOI: 10.5281/zenodo.10680690
title: Data and analysis for the article "Morphologic, genetic, and biogeographic continua among subspecies hinder the conservation of threatened taxa: the case of Centaurea aspera ssp. scorpiurifolia (Asteraceae)"

description: Centaurea aspera ssp. scorpiurifolia is a threatened taxon endemic to Andalusia (Spain), which coexists in most of its distribution area with similar taxa. Because of the difficulty to identify it using morphology alone, we aimed to sample all the populations cited as ssp. scorpiurifolia as exhaustively as possible, morphologically characterise them, and analyse their genetic structuring using microsatellites, to better understand difficulties when conserving subspecies. Three different Centaurea species were found which were easily identified. Within C. aspera, two genetic populations and some admixed individuals were observed, one including ssp. scorpiurifolia individuals and the other including individuals identified as subspecies aspera, stenophylla, and scorpiurifolia. A morphological continuum between these two genetic populations and a wide overlapping of their biogeographic distribution were also found. This continuum can affect the conservation of ssp. scorpiurifolia because of potential misidentifications and harmful effects of subspecific hybridization. Misidentifications could be partly overcome by using as many different traits as possible, and conservation priority should be given to populations representative of the ends of this continuum.
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n.1
title: 2-(3,5-dimethoxyphenyl)acetonitrile
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3, and canonical SMILES descriptor[cheminf_000007]: COc1cc(CC#N)cc(c1)OC, and by the IUPAC name[cheminf_000107]: 2-(3,5-dimethoxyphenyl)acetonitrile.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-39146

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0001150 | 1H--1H correlation spectroscopy (1H-1H COSY)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0001148 | 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-(3,5-dimethoxyphenyl)acetonitrile)
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-(3,5-dimethoxyphenyl)acetonitrile)
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, Chloroform-d [77.2 ppm], ppm) δ = 161.5 (COCH3, 2C), 132.1, 117.8, 106.2 (CH, 2C), 100.1 (CH), 55.6 (CH3, 2C), 23.9 (CH2).
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (2-(3,5-dimethoxyphenyl)acetonitrile)
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-(3,5-dimethoxyphenyl)acetonitrile)
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, Chloroform-d [7.26 ppm], ppm) δ = 6.46 (d, J = 1.7 Hz, 2H), 6.41–6.40 (m, 1H), 3.80 (s, 6H), 3.68 (s, 2H).
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2-(3,5-dimethoxyphenyl)acetonitrile)
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n/chmo0001148
title: 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC) (2-(3,5-dimethoxyphenyl)acetonitrile)
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: dataset for 1H--13C heteronuclear multiple bond coherence (13C-1H HMBC)
DOI: 10.14272/uunrwzqwcntscv-uhfffaoysa-n/chmo0001150
title: 1H--1H correlation spectroscopy (1H-1H COSY) (2-(3,5-dimethoxyphenyl)acetonitrile)
title: InChI=1S/C10H11NO2/c1-12-9-5-8(3-4-11)6-10(7-9)13-2/h5-7H,3H2,1-2H3

description: dataset for 1H--1H correlation spectroscopy (1H-1H COSY)
DOI: 10.5281/zenodo.10689922
title: GPR data collected at Shar Shaw Tagà in June 2023

description: The GPR data in the present repository was collected in June 2022 at a site of the Shar Shaw Tagà catchment, in the Kluane First Nation territory, Yukon, Canada. 

The location of the catchment is presented in the 'Site location' file

3 different GPR configurations were used for different transects: Drone-Based Transects (DBT); Manual Bistatic Transects (MBT) and Common Mid-point Transect (CMP)

Transects location and description can be found in the 'GPR transect map' file

3 different antennas were used at each transect: 50 MHz; 100 MHz and 200 MHz

GPR radargrams can be opened using the Prism2 software. 

The following nomenclature is used: XXX-YYY-Z where



XXX represents the GPR configuration: DBT; MBT or CMP

YYY represents the Antenna: 200; 100 or 50

Z is the transect number: 1 for all DBT files and either 1 or 2 for the MBT and CMP files
DOI: 10.5281/zenodo.10689923
title: GPR data collected at Shar Shaw Tagà in June 2023

description: The GPR data in the present repository was collected in June 2022 at a site of the Shar Shaw Tagà catchment, in the Kluane First Nation territory, Yukon, Canada. 

The location of the catchment is presented in the 'Site location' file

3 different GPR configurations were used for different transects: Drone-Based Transects (DBT); Manual Bistatic Transects (MBT) and Common Mid-point Transect (CMP)

Transects location and description can be found in the 'GPR transect map' file

3 different antennas were used at each transect: 50 MHz; 100 MHz and 200 MHz

GPR radargrams can be opened using the Prism2 software. 

The following nomenclature is used: XXX-YYY-Z where



XXX represents the GPR configuration: DBT; MBT or CMP

YYY represents the Antenna: 200; 100 or 50

Z is the transect number: 1 for all DBT files and either 1 or 2 for the MBT and CMP files