cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/cmu.res.2008.926
title: ภาวะแทรกซ้อนที่เกี่ยวข้องทางวิสัญญี ในผู้ป่วยที่ได้รับการผ่าตัดบริเวณช่องปาก กระดูกขากรรไกรและใบหน้า ระหว่างฟื้นตัวจากการระงับความรู้สึกทั่วร่างกาย ที่คลินิกศัลยศาสตร์ช่องปากและหอผู้ป่วย คณะทันตแพทยศาสตร์ มหาวิทยาลัยเชียงใหม่
DOI: 10.14457/cmu.res.2008.928
title: สภาพการจัดการเรียนรู้หลักสูตรการผลิตครูการศึกษาขั้นพื้นฐาน คณะศึกษาศาสตร์ มหาวิทยาลัยเชียงใหม่
DOI: 10.5281/zenodo.2539198
title: Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery (dataset, paper published in PLOS ONE)

description: Data processed to analyze pine processionary moth defoliation.

Digital surface model and orthomosaics derived from UAS
DOI: 10.5281/zenodo.2539199
title: Quantifying pine processionary moth defoliation in a pine-oak mixed forest using unmanned aerial systems and multispectral imagery (dataset, paper published in PLOS ONE)

description: Data processed to analyze pine processionary moth defoliation.

Digital surface model and orthomosaics derived from UAS
DOI: 10.5517/ccdc.csd.cc1zttby
title: CCDC 1842061: Experimental Crystal Structure Determination

description: Related Article: Nikolay A. Pushkarevsky, Elena A. Chulanova, Leonid A. Shundrin, Anton I. Smolentsev, Georgy E. Salnikov, Elena A. Pritchina, Alexander M. Genaev, Irina G. Irtegova, Irina Yu. Bagryanskaya, Sergey N. Konchenko, Nina P. Gritsan, Jens Beckmann, Andrey V. Zibarev|2018|Chem.-Eur.J.|25|806|doi:10.1002/chem.201803465
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: 10.5517/ccdc.csd.cc1zw2pm
title: CCDC 1843281: Experimental Crystal Structure Determination

description: Related Article: Nikolay A. Pushkarevsky, Elena A. Chulanova, Leonid A. Shundrin, Anton I. Smolentsev, Georgy E. Salnikov, Elena A. Pritchina, Alexander M. Genaev, Irina G. Irtegova, Irina Yu. Bagryanskaya, Sergey N. Konchenko, Nina P. Gritsan, Jens Beckmann, Andrey V. Zibarev|2018|Chem.-Eur.J.|25|806|doi:10.1002/chem.201803465
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: 10.5517/ccdc.csd.cc1zw2qn
title: CCDC 1843282: Experimental Crystal Structure Determination

description: Related Article: Nikolay A. Pushkarevsky, Elena A. Chulanova, Leonid A. Shundrin, Anton I. Smolentsev, Georgy E. Salnikov, Elena A. Pritchina, Alexander M. Genaev, Irina G. Irtegova, Irina Yu. Bagryanskaya, Sergey N. Konchenko, Nina P. Gritsan, Jens Beckmann, Andrey V. Zibarev|2018|Chem.-Eur.J.|25|806|doi:10.1002/chem.201803465
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: 10.5517/ccdc.csd.cc1zzgm1
title: CCDC 1846534: Experimental Crystal Structure Determination

description: Related Article: Nikolay A. Pushkarevsky, Elena A. Chulanova, Leonid A. Shundrin, Anton I. Smolentsev, Georgy E. Salnikov, Elena A. Pritchina, Alexander M. Genaev, Irina G. Irtegova, Irina Yu. Bagryanskaya, Sergey N. Konchenko, Nina P. Gritsan, Jens Beckmann, Andrey V. Zibarev|2018|Chem.-Eur.J.|25|806|doi:10.1002/chem.201803465
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: 10.5517/ccdc.csd.cc1zzgn2
title: CCDC 1846535: Experimental Crystal Structure Determination

description: Related Article: Nikolay A. Pushkarevsky, Elena A. Chulanova, Leonid A. Shundrin, Anton I. Smolentsev, Georgy E. Salnikov, Elena A. Pritchina, Alexander M. Genaev, Irina G. Irtegova, Irina Yu. Bagryanskaya, Sergey N. Konchenko, Nina P. Gritsan, Jens Beckmann, Andrey V. Zibarev|2018|Chem.-Eur.J.|25|806|doi:10.1002/chem.201803465
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: 10.5517/ccdc.csd.cc1zzgp3
title: CCDC 1846536: Experimental Crystal Structure Determination

description: Related Article: Nikolay A. Pushkarevsky, Elena A. Chulanova, Leonid A. Shundrin, Anton I. Smolentsev, Georgy E. Salnikov, Elena A. Pritchina, Alexander M. Genaev, Irina G. Irtegova, Irina Yu. Bagryanskaya, Sergey N. Konchenko, Nina P. Gritsan, Jens Beckmann, Andrey V. Zibarev|2018|Chem.-Eur.J.|25|806|doi:10.1002/chem.201803465
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: 10.5517/ccdc.csd.cc21gdvs
title: CCDC 1890685: Experimental Crystal Structure Determination

description: Related Article: Na Wu|2019|CSD Communication|||
description: Related Article: Yangyang Hou, Jing Ma, Hongyi Yang, Edward A. Anderson, Andy Whiting, Na Wu|2019|Chem.Commun.|55|3733|doi:10.1039/C9CC00537D
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: 10.5517/ccdc.csd.cc21gf10
title: CCDC 1890691: Experimental Crystal Structure Determination

description: Related Article: Na Wu|2019|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: 10.5281/zenodo.2539113
title: Enzymes from the BRENDA database annotated with organism growth temperatures and predicted Topt

description: Experimental as well as predicted organism growth temperatures were used to annotate enzymes from the BRENDA database (doi: 10.1093/nar/gky1048, https://www.brenda-enzymes.org) version 2018.2 (July 2018). The growth temperature annotation can be used as an estimate of the enzymes catalytic optima. In addition to this, the sequence of each enzyme was taken into account to predict catalytic optima, which are more accurate than simply using OGT as an estimate.

The "enzyme_ogt_topt.tsv" file is a tab-separated file with the data headers: ec, uniprot_id, domain, organism, ogt, ogt_source, topt and topt_source. The ec column lists enzyme classes. The uniprot_id lists UniProt identifiers. The domain column lists the domain of life (superkingdom), either Archaea, Bacteria, or Eukarya. The organism column lists organism names, with strain designations removed and formatted to lowercase characters with an underscore _ separating the name parts. The ogt column lists, in degrees centigrade, the organism growth temperature. The ogt_source column lists whether experimental growth temperatures or predicted ones were used for the annotation. The topt column lists the enzyme catalytic optimum. Finally, the topt_source column lists whether experimental or predicted topt was used for the annotation.

The "brenda_sequences_20180109.fasta" file follows the standard FASTA format and contains the protein sequences for all annotated enzymes. UniProt identifiers are used as a header for each of the sequences.
DOI: 10.5281/zenodo.2539114
title: Enzymes from the BRENDA database annotated with organism growth temperatures and predicted Topt

description: Experimental as well as predicted organism growth temperatures were used to annotate enzymes from the BRENDA database (doi: 10.1093/nar/gky1048, https://www.brenda-enzymes.org) version 2018.2 (July 2018). The growth temperature annotation can be used as an estimate of the enzymes catalytic optima. In addition to this, the sequence of each enzyme was taken into account to predict catalytic optima, which are more accurate than simply using OGT as an estimate.

The "enzyme_ogt_topt.tsv" file is a tab-separated file with the data headers: ec, uniprot_id, domain, organism, ogt, ogt_source, topt and topt_source. The ec column lists enzyme classes. The uniprot_id lists UniProt identifiers. The domain column lists the domain of life (superkingdom), either Archaea, Bacteria, or Eukarya. The organism column lists organism names, with strain designations removed and formatted to lowercase characters with an underscore _ separating the name parts. The ogt column lists, in degrees centigrade, the organism growth temperature. The ogt_source column lists whether experimental growth temperatures or predicted ones were used for the annotation. The topt column lists the enzyme catalytic optimum. Finally, the topt_source column lists whether experimental or predicted topt was used for the annotation.

The "brenda_sequences_20180109.fasta" file follows the standard FASTA format and contains the protein sequences for all annotated enzymes. UniProt identifiers are used as a header for each of the sequences.
DOI: 10.5281/zenodo.2539218
title: Datasets for paper 'Cabello, V., Renner, A., Giampietro, M. 2019. Relational analysis of the resource nexus in arid land crop production. Advances in Water Resources 130:258-629'

description: Datasets produced for the paper Cabello, V., Renner, A., Giampietro, M. 2019.<em> </em>Relational analysis of the resource nexus in arid land crop production. <em>Advances in Water Resources </em>130:258-269
DOI: 10.5281/zenodo.2539219
title: Datasets for paper 'Cabello, V., Renner, A., Giampietro, M. 2019. Relational analysis of the resource nexus in arid land crop production. Advances in Water Resources 130:258-629'

description: Datasets produced for the paper Cabello, V., Renner, A., Giampietro, M. 2019.<em> </em>Relational analysis of the resource nexus in arid land crop production. <em>Advances in Water Resources </em>130:258-269
DOI: 10.18112/openneuro.ds002994.v1.0.1
title: fribblesFMRI_object-value-construction
DOI: 10.5281/zenodo.2539234
title: Extreme Erosion Events database for Eurasia

description: Climate changes lead to an increase of extreme events frequency and intensity (hurricanes, floods, extreme<br>
rainfall), and as a consequence to the intensification of erosion processes both in the<br>
mountainous and plain regions. Database of extreme erosion events (EEEs) was created on the basis of literature review.

<em>This work was supported by the Russian Foundation for Basic Research under grant 16-05-00815.</em>

Изменение климата приводит к увеличение частоты и интенсивности экстремальных событий (ураганы, наводнения, экстремальные осадки), в результате происходит интенсификация эрозионных процессов как в горных так и в равнинных регионах. На основе анализа литературы была создана база данных Экстремальных эрозионных событий (ЭЭЭ) в Евразии.

<em>Работа выполнена при финансовой поддержке Российского фонда фундаментальных исследований, грант 16-05-00815.</em>
DOI: 10.5281/zenodo.2539235
title: Extreme Erosion Events database for Eurasia

description: Climate changes lead to an increase of extreme events frequency and intensity (hurricanes, floods, extreme<br>
rainfall), and as a consequence to the intensification of erosion processes both in the<br>
mountainous and plain regions. Database of extreme erosion events (EEEs) was created on the basis of literature review.

<em>This work was supported by the Russian Foundation for Basic Research under grant 16-05-00815.</em>

Изменение климата приводит к увеличение частоты и интенсивности экстремальных событий (ураганы, наводнения, экстремальные осадки), в результате происходит интенсификация эрозионных процессов как в горных так и в равнинных регионах. На основе анализа литературы была создана база данных Экстремальных эрозионных событий (ЭЭЭ) в Евразии.

<em>Работа выполнена при финансовой поддержке Российского фонда фундаментальных исследований, грант 16-05-00815.</em>
DOI: 10.5281/zenodo.2539146
title: Atmospheric climate model output of the COSMO-CLM2 regional climate model hindcast run over Antarctica (1987-2016)

description: The dataset contains monthly output of a COSMO-CLM² (COSMO-CLM coupled to the Community Land Model) atmospheric hindcast simulation over Antarctica which is described and evaluated in the following paper: 

Souverijns, N., Gossart, A., Demuzere, M., Lenaerts, J.T.M., Medley, B., Gorodetskaya, I.V., Vanden Broucke, S., van Lipzig, N.P.M., 2019. A new Regional Climate Model for POLAR-CORDEX: Evaluation of a 30-year Hindcast with COSMO-CLM² over Antarctica. Journal of Geophysical Research: Atmospheres, 124, 1405-1427. (doi:10.1029/2018JD028862)

Details of the model simulation:<br>
- COSMO-CLM version 5.0_clm6<br>
- Community Land Model version 4.5<br>
- Horizontal resolution: 0.25°x0.25°<br>
- Vertical resolution: 40 levels<br>
- Time period: 1987-2016 (excluding 4 years of spin-up)<br>
- Driving model: ERA-Interim<br>
 

The data provided here has a monthly time resolution and contains the monthly average of all variables except denoted otherwise below. As such, each file consists of 360 time steps.<br>
- AEVAP_S: Surface evaporation [kg m-2] (summed value for each month)<br>
- ALB: Surface albedo [-] (only for austral summer months)<br>
- ALHFL_S: Surface latent heat flux [W m-2]<br>
- ALWD_S: Downward longwave radiation at the surface [W m-2]<br>
- ALWU_S: Upward longwave radiation at the surface [W m-2]<br>
- ASHFL_S: Surface sensible heat flux [W m-2]<br>
- ASOB_S: Surface net downward shortwave radiation [W m-2]<br>
- ASWDIFD_S: Diffuse downward shortwave radiation at the surface [W m-2]<br>
- ASWDIFU_S: Diffuse upward shortwave radiation at the surface [W m-2]<br>
- ASWDIR_S: Direct downward shortwave radiation at the surface [W m-2]<br>
- ATHB_S: Surface net downward longwave radiation at the surface [W m-2]<br>
- P: Pressure at 40 vertical levels [Pa]<br>
- QV: Specific humidity at 40 vertical levels [kg kg-1]<br>
- RH2M: Relative humidity at 2 meter [%]<br>
- SNOW_GSP: Surface snowfall amount [kg m-2] (summed value for each month)<br>
- T2M: Temperature at 2 meter [K]<br>
- T: Temperature at 40 vertical levels [K]<br>
- WS10M: Wind speed at 10 meter [m s-1]<br>
- WS: Wind speed at 40 vertical levels [m s-1]
DOI: 10.5676/eum_saf_cm/uth/v001
title: CM SAF Microwave Upper Tropospheric Humidity (UTH) Data Record - Edition 1

description: This CM SAF climate data record provides daily estimates of Upper Tropospheric Humidity (UTH)
      derived from passive microwave sounders. UTH contributes significantly to the atmospheric
      greenhouse effect by having a strong influence on the outgoing longwave radiation, despite the
      smaller concentration by mass in comparison to lower troposphere. Long-term observations of
      UTH can therefore be used to monitor changes in upper tropospheric water vapour loading and
      subsequently to infer changes in the radiative effect of water vapour in the atmosphere. The
      CM SAF UTH v1.0 data set is based on observations from the Advanced Microwave Humidity
      Sounding Unit B (AMSU-B, onboard NOAA-15, NOAA-16, NOAA-17) and the Microwave Humidity Sounder
      (MHS, onboard NOAA-18, MetOp-A and MetOp-B), and covers the period 1 January 1999 to 31
      December 2015. The UTH product is a mere transformation of brightness temperature, measured by
      the 183.31±1.00 GHz channel to a more intuitive humidity unit. The relative humidity Jacobian,
      which is used to define the UTH, moves vertically depending on the water vapour load in the
      atmosphere. It is generally assumed that the Jacobian covers a broad atmospheric layer between
      500 and 200 hPa. However, in a drier atmosphere the Jacobian will have significant
      contributions from altitudes below the 500 hPa level and in a wetter atmosphere there can be
      contributions from altitudes above the 200 hPa level. The UTH retrieval is generally not
      valid outside ±60° latitudes because of the very low water vapour loading here in the upper
      troposphere. However, there will be some valid UTH retrievals in these regions, thus a global
      data record is provided to enable maximum exploitation of the data. Note that observations
      affected by deep convective or precipitating clouds, together with those sensing the surface
      due to dry atmosphere or high orography, have been removed from the data set. The CM SAF UTH
      product has been evaluated against an equivalent UTH derived from ERA-Interim renanalysis. The
      validation activity suggests that the data record fulfils the GCOS requirements of 5%
      measurement accuracy and 0.3% decadal stability within ±60° latitude.
DOI: 10.5281/zenodo.2539222
title: Amino acid sequences of the proteins predicted from the whole genome of hilsa shad (Tenualosa ilisha) of the Bay of Bengal

description: Gene prediction was performed by AUGUSTUS (Stanke et al., 2006) from the whole genome sequence of <em>T. ilisha</em> (PRJNA400122). The data contain amino acid sequences of 37,450 predicted protein coding genes.
DOI: 10.5281/zenodo.2539223
title: Amino acid sequences of the proteins predicted from the whole genome of hilsa shad (Tenualosa ilisha) of the Bay of Bengal

description: Gene prediction was performed by AUGUSTUS (Stanke et al., 2006) from the whole genome sequence of <em>T. ilisha</em> (PRJNA400122). The data contain amino acid sequences of 37,450 predicted protein coding genes.
DOI: 10.18169/papdeott007498
title: Einfach Lösbare Vorrichtung zum Spritzschutz an Lagern
DOI: 10.18169/papdeott007583
title: Metamaterial für anisotrope Wärmeübertragung in Gegenstrom-Wärmetauschern
DOI: 10.18169/papdeott007602
title: Variabler Einzelsatz für Einfahren von Programmen an NC-Maschinen
DOI: 10.18169/papdeott007612
title: Versatile, Intuitive LED Stripe Display for Rotary Machines
DOI: 10.18169/papdeott007613
title: Projektierbarer Programmcode-Randomisierungsparameter
DOI: 10.18169/papdeott007614
title: Erhöhung des nutzbaren magnetischen Flusses im Luftspalt von HTS-Permanentmagnetmaschinen
DOI: 10.18169/papdeott007615
title: Technical Solution to Transfer Data through Noisy Motor Cable
DOI: 10.18169/papdeott007616
title: Bildgebung zur Blutflussmessung für Ablationsplanung
DOI: 10.18169/papdeott007617
title: Novel Support for Rotor
DOI: 10.18169/papdeott007619
title: Optimierte Energieversorgung für Erweiterungsmodule von Feldgeräten
DOI: 10.18169/papdeott007621
title: Anwendergestützte Fehlererkennung in Gebäuden
DOI: 10.18169/papdeott007625
title: SINUMERIK SINUMERIK 828D Software und Hardware
DOI: 10.18169/papdeott007626
title: HALO Seal Implementation for Turbine Blades
DOI: 10.18169/papdeott007627
title: Patient Table with Flexible Local Coil Interface for Head MR Examinations
DOI: 10.18169/papdeott007628
title: Compressor Casing Heater for Prevention of Blade Rubbing During Start-Stop-Cycles
DOI: 10.18169/papdeott007629
title: MRT-Kniespule mit Sensorik zur automatischen Bestimmung von Position, Körperteil und Lateralität und Schnittstelle für eine Optimierung des Arbeitsablaufs
DOI: 10.18169/papdeott007630
title: Context Based Access Control
DOI: 10.18169/papdeott007631
title: Secure Identity Misuse Prevention Method
DOI: 10.18169/papdeott007633
title: Adaptive Software-Based Communication Interference Suppression Method
DOI: 10.18169/papdeott007595
title: Fast Connecting Heave Compensated Front-Mounted Plug System for Ferries
DOI: 10.18169/papdeott007634
title: Datenkommunikation-analysierender Netzwerkverbinder
DOI: 10.18169/papdeott007635
title: Hybrid Test System for Vessel Emergency Shutdown System
DOI: 10.18169/papdeott007636
title: Erkennung eines verschweißten Kontaktes bei Aktoren
DOI: 10.18169/papdeott007637
title: Dynamisches Typenschild
DOI: 10.18169/papdeott007638
title: Schraubverbindungen mit erweiterter Funktionalität
DOI: 10.18169/papdeott007639
title: Verbesserung der Sicherheit und Benutzerfreundlichkeit für fußgesteuerte Eingabegeräte für bildgebende Systeme durch Verwendung von Nahfeldkommunikationstechnologie
DOI: 10.18169/papdeott007640
title: Improved Surface Quality for Additively Manufactured Ceramic Parts via Slurry Dipping
DOI: 10.18169/papdeott007643
title: Laserstrahl-Polieren von entlang von Bereichen mit Rissen zur gezielten Einbringungen von Lot-/Grundwerkstoffgemischen beim LMD
DOI: 10.18169/papdeott007644
title: Turbinenschaufelreparatur mittels Laserauftragschweißen unter Berücksichtigung der Belastungssituation
DOI: 10.18169/papdeott007646
title: Überwachung der Laufzeitintegrität mittels statistischer Codeausführungsparameter
DOI: 10.17632/mjnckkj37h.1
title: Data for: Firms' Credit Requirements and Monetary Policy Rules