cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/amobbdhyjvqocy-uhfffaoysa-n/13cnmr
title: 13C NMR (methyl 3-acetylsulfanyl-2-(acetylsulfanylmethyl)propanoate, InChI=1S/C9H14O4S2/c1-6(10)14-4-8(9(12)13-3)5-15-7(2)11/h8H,4-5H2,1-3H3)

description: dataset for 13C NMR
      
      13C NMR (100 MHz, CDCl3, ppm) δ = 195.0 (2C), 172.7, 52.4, 45.3, 30.7 (2C), 29.7 (2C).
DOI: 10.14272/amobbdhyjvqocy-uhfffaoysa-n/1hnmr
title: 1H NMR (methyl 3-acetylsulfanyl-2-(acetylsulfanylmethyl)propanoate, InChI=1S/C9H14O4S2/c1-6(10)14-4-8(9(12)13-3)5-15-7(2)11/h8H,4-5H2,1-3H3)

description: dataset for 1H NMR
      
      1H NMR (400 MHz, CDCl3, ppm) δ = 3.70 (s, 3H), 3.15 (m, 4H), 2.87 (quin, J = 6.6 Hz, 1H), 2.33 (s, 6H).
DOI: 10.14272/amobbdhyjvqocy-uhfffaoysa-n/ir
title: IR (methyl 3-acetylsulfanyl-2-(acetylsulfanylmethyl)propanoate, InChI=1S/C9H14O4S2/c1-6(10)14-4-8(9(12)13-3)5-15-7(2)11/h8H,4-5H2,1-3H3)

description: dataset for IR
      
      IR (ATR, ṽ) =  2952, 1734, 1688, 1434, 1353, 1246, 1168, 1129, 1022, 823, 622, 530 cm–1.
DOI: 10.14272/amobbdhyjvqocy-uhfffaoysa-n/mass
title: Mass (methyl 3-acetylsulfanyl-2-(acetylsulfanylmethyl)propanoate, InChI=1S/C9H14O4S2/c1-6(10)14-4-8(9(12)13-3)5-15-7(2)11/h8H,4-5H2,1-3H3)

description: dataset for Mass
      
      EI (m/z, 70 eV, 20 °C): 250 [M]+ (8), 207 (100), 165 (71), 133 (20).
DOI: 10.25919/5c45c0736709f
title: Parkes observations for project PX500 semester 2018OCTS_42

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries.  As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading.  The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period.  The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.15468/j4gqsc
title: Ambientes de restinga sob a ótica da ecologia funcional: definição de atributos funcionais e seu papel na estruturação de formações vegetais especializadas das restingas do Estado do Rio de Janeiro

description: A pesquisa teve como objetivo descrever a estrutura da vegetação da Formação Arbustiva Aberta de Clusia em nível taxonômico, filogenético e funcional, ao longo de um gradiente latitudinal no Parque Nacional da Restinga de Jurubatiba.
DOI: 10.15468/7fwruy
title: Fungal communities (ITS) in Antarctic brines.

description: Amplicon sequencing dataset (Illumina MiSeq) of Fungal microbes (ITS marker gene) in two distinct layers (separated by 12cm of ice) of liquid high salinity brines of one lake in the Tarmac Flat area (In the North of McMurdo Dry Valley, Antarctica).
DOI: 10.17037/data.00001020
title: Search strategies for "Evidence for the use of administrative controls to reduce the transmission of Mycobacterium tuberculosis in healthcare settings: a systematic review"

description: The literature search strategies were developed by a medical librarian with expertise in systematic review searching, with input from ASK, DAJM and KLF. The literature search was constructed using concepts for the condition (tuberculosis) and the interventions (respiratory isolation, triage, bacteriologic susceptibility tests). A search in OvidSP Medline was constructed and agreed by the team. This was checked for errors by a librarian unconnected to the project before being used as the template for all other searches. Search terms and syntax were updated as required by each new database. The following databases were searched on 9 and 10 November 2017. OvidSP Medline, 1946-present; OvidSP Embase, 1947 to 2017 November 08; Global Health, 1910 to 2017 Week 43; OvidSP Northern Light Life Sciences Conference Abstracts, 2010 - 2017 Week 43; Ebsco CINAHL Plus, full database; Africa-Wide Information, full database; Web of Science Core Collection (Science Citation Index Expanded (SCI-EXPANDED) --1970-present, Social Sciences Citation Index (SSCI) --1970-present, Arts & Humanities Citation Index (A&HCI) --1975-present, Conference Proceedings Citation Index- Science (CPCI-S) --1990-present, Conference Proceedings Citation Index- Social Science & Humanities (CPCI-SSH) --1990-present, Emerging Sources Citation Index (ESCI) --2015-present, Data last updated: 2017-11-09); Web of Science Korean Journals Database, 1980-present, data last updated 2017-11-02; Russian Science Citation Index, 2005-present. Data last updated 2017/11/09; SciELO Citation Index, 2005-present. Data last updated 2017/11/09; Wiley Cochrane Library, CDSR 2017 issue 11; Elsevier Scopus, full database; Bireme Virtual Health Library LILACS, full database. Where possible, animal studies were removed, and results were limited to the following languages: English, French, Spanish, Portuguese, Japanese, Russian, Chinese. No date limits were added.
DOI: 10.17036/researchdata.aston.ac.uk.00000398
title: Data underpinning paper "Raman-Generated Pump and Its Use for Parametric Amplification and Phase Conjugation"
DOI: 10.17036/researchdata.aston.ac.uk.00000399
title: Data underpinning paper "Suppression of Nonlinear Crosstalk in a Polarization Insensitive FOPA by Mid-stage Idler Removal"
DOI: 10.5287/bodleian:qq9z7wddq
title: Digital preservation policy toolkit
DOI: 10.17036/researchdata.aston.ac.uk.00000401
title: Noise performance improvement of broadband discrete Raman amplifiers using dual stage distributed pumping architecture
DOI: 10.5281/zenodo.2545564
title: TemoaProject: Energy Storage Options for North Carolina

description: This zenodo archive includes the Temoa code and data used to produce Energy Storage Options for North Carolina. Temoa was used to evaluate the use of storage for bulk energy time shifting and peak capacity deferral, as described in Section 6.5.

The data files are split into the capacity expansion and operational versions of the data. To begin, the capacity expansion runs are conducted to estimate the 2030 electricity generation mix in North Carolina. The optimal installed capacity is then fixed in the operational model, and the operational model is run to determine how storage with a fixed installed capacity and duration affects the objective function value. The change in objective function value, corresponding to the change in total system cost, is used to assess the net benefit associated with using storage for bulk energy time shifting and peak capacity deferral. (See report for more details.)

The primary difference between the capacity expansion and operational versions of the model are the number of time slices. In the capacity expansion model, electricity supply and demand is balanced over a representative 24-hour period for each of the four seasons, for a total of 96 time slices per year. The operational model includes 8760 time slices per year, thereby representing every hour of the year, which allows us to better capture the value of storage.

In terms of workflow, the capacity expansion runs were conducted with an input sqlite database file. Here we include the raw text-based sql file. It can be converted to a binary sqlite database file with the freely available sqlite program: https://www.sqlite.org. The results from the capacity expansion runs were automatically stored in the output tables associated with the same sqlite database. To run the operational version, capacity results are extracted from the capacity expansion sqlite file, and added to an input DAT file. These input DAT files are text-based files located in the scenario-specific folders for the operational runs. (Note that Temoa can run with either a sqlite or DAT file specified as input.)

Each scenario folder for both the capacity expansion and operational runs also contain the config file used to run the model. Each model run was executed from the command line with the following syntax:

$ python temoa_model/ --config=temoa_model/&lt;config_file_name&gt;

Note that the specific instance of the Temoa source code we ran corresponds to git commit hash 06edf7b883cee44ebd1129803f2145687c46bea0.<br>
We verified the model code works with Pyomo versions 5.3 and 5.5.
description: For details on how to run the model, please visit the project website: http://temoaproject.org/.
DOI: 10.5281/zenodo.2545565
title: TemoaProject: Energy Storage Options for North Carolina

description: This zenodo archive includes the Temoa code and data used to produce Energy Storage Options for North Carolina. Temoa was used to evaluate the use of storage for bulk energy time shifting and peak capacity deferral, as described in Section 6.5.

The data files are split into the capacity expansion and operational versions of the data. To begin, the capacity expansion runs are conducted to estimate the 2030 electricity generation mix in North Carolina. The optimal installed capacity is then fixed in the operational model, and the operational model is run to determine how storage with a fixed installed capacity and duration affects the objective function value. The change in objective function value, corresponding to the change in total system cost, is used to assess the net benefit associated with using storage for bulk energy time shifting and peak capacity deferral. (See report for more details.)

The primary difference between the capacity expansion and operational versions of the model are the number of time slices. In the capacity expansion model, electricity supply and demand is balanced over a representative 24-hour period for each of the four seasons, for a total of 96 time slices per year. The operational model includes 8760 time slices per year, thereby representing every hour of the year, which allows us to better capture the value of storage.

In terms of workflow, the capacity expansion runs were conducted with an input sqlite database file. Here we include the raw text-based sql file. It can be converted to a binary sqlite database file with the freely available sqlite program: https://www.sqlite.org. The results from the capacity expansion runs were automatically stored in the output tables associated with the same sqlite database. To run the operational version, capacity results are extracted from the capacity expansion sqlite file, and added to an input DAT file. These input DAT files are text-based files located in the scenario-specific folders for the operational runs. (Note that Temoa can run with either a sqlite or DAT file specified as input.)

Each scenario folder for both the capacity expansion and operational runs also contain the config file used to run the model. Each model run was executed from the command line with the following syntax:

$ python temoa_model/ --config=temoa_model/&lt;config_file_name&gt;

Note that the specific instance of the Temoa source code we ran corresponds to git commit hash 06edf7b883cee44ebd1129803f2145687c46bea0.<br>
We verified the model code works with Pyomo versions 5.3 and 5.5.
description: For details on how to run the model, please visit the project website: http://temoaproject.org/.
DOI: 10.5281/zenodo.2545611
title: Wood Species Dataset

description: Wood Species Dataset (8544 Macroscopic Images) - Imperial College London - Aristotle University of Thessaloniki (Version 2). File description: SpeciesCategory_PhotoNumber (Ex. 45_3 - 45th Photo - 3rd species category) Please cite as: -Barmpoutis, P., Dimitropoulos, K., Barboutis, I., Grammalidis, N., & Lefakis, P. (2018). Wood species recognition through multidimensional texture analysis. <em>Computers and electronics in agriculture</em>, <em>144</em>, 241-248 AND -Barmpoutis, P. (2019). Wood species dataset. Zenodo. DOI: 10.5281/zenodo.2545611
DOI: 10.5281/zenodo.2545610
title: Wood Species Dataset

description: Wood Species Dataset (8544 Macroscopic Images) - Imperial College London - Aristotle University of Thessaloniki (Version 2). File description: SpeciesCategory_PhotoNumber (Ex. 45_3 - 45th Photo - 3rd species category) Please cite as: -Barmpoutis, P., Dimitropoulos, K., Barboutis, I., Grammalidis, N., & Lefakis, P. (2018). Wood species recognition through multidimensional texture analysis. <em>Computers and electronics in agriculture</em>, <em>144</em>, 241-248 AND -Barmpoutis, P. (2019). Wood species dataset. Zenodo. DOI: 10.5281/zenodo.2545611
DOI: 10.14469/hpc/4973
title: Compound 2

description: NMR Data for Compound 2
DOI: 10.14469/hpc/4974
title: Compound 3

description: NMR data for Compound 3
DOI: 10.5281/zenodo.2545594
title: Comparison of X-ray crystal structures of a tetradecamer sequence d(CCCGGGTACCCGGG)2 at 1.7 Å resolution.

description: We presented a comparison of three different X-ray crystal structures of DNA tetradecamer sequence d(CCCGGGTACCCGGG)2 all at about 1.7 Å resolution. The sequence was designed as an attempt to form a DNA four-way junction with A-type helical arms. However, in the presence of zinc, magnesium, and in the absence of any metal ion, it does not take up the junction structure, but forms an A-type double helix. This allowed us to study possible conformational changes in the double helix due to the presence of metal ions. Upon addition of the zinc ion, there is a change in the space group from P41212 to P41. The overall conformation of the duplex remains the same. There are small changes in the interaction of the metal ions with the DNA. In the zinc-bound structure, there are two zinc ions that show direct interaction with the N7 atoms of terminal G13 bases at either end of the molecule. There are small changes in the interhelical contacts. The consequence of these differences is to break some of the symmetry and change the space group.
description: Acknowledgement to Department of Biotechnology, Government of India for data collection facilities at BM14 beamline, ESRF, France.
description: {"references": ["Gabadinho et al. (2010). J Synchrotron Radiat. 17: 700\u2013707."]}
DOI: 10.5281/zenodo.2545595
title: Comparison of X-ray crystal structures of a tetradecamer sequence d(CCCGGGTACCCGGG)2 at 1.7 Å resolution.

description: We presented a comparison of three different X-ray crystal structures of DNA tetradecamer sequence d(CCCGGGTACCCGGG)2 all at about 1.7 Å resolution. The sequence was designed as an attempt to form a DNA four-way junction with A-type helical arms. However, in the presence of zinc, magnesium, and in the absence of any metal ion, it does not take up the junction structure, but forms an A-type double helix. This allowed us to study possible conformational changes in the double helix due to the presence of metal ions. Upon addition of the zinc ion, there is a change in the space group from P41212 to P41. The overall conformation of the duplex remains the same. There are small changes in the interaction of the metal ions with the DNA. In the zinc-bound structure, there are two zinc ions that show direct interaction with the N7 atoms of terminal G13 bases at either end of the molecule. There are small changes in the interhelical contacts. The consequence of these differences is to break some of the symmetry and change the space group.
description: Acknowledgement to Department of Biotechnology, Government of India for data collection facilities at BM14 beamline, ESRF, France.
description: {"references": ["Gabadinho et al. (2010). J Synchrotron Radiat. 17: 700\u2013707."]}
DOI: 10.14469/hpc/4975
title: Compound 4

description: NMR Data for Compound 4
DOI: 10.5281/zenodo.2545586
title: Training images for the MADE site

description: Five training images that represent spatial hydraulic conductivity [log10 (cm/s)] of the MAcro Dispersion Experiment (MADE) site in Mississippi, USA. The .mat file contains five matrices each of them representing a training image called:

TIlog10K_chanStrebelleRoyane = highly conductive channels in an homogeneous matrix [Strebelle, 2002; Ronayne et al., 2010; Linde et al., 2015].

TIlog10K_herten = model based on a mapping study at the Herten site in Germany [Bayer et al., 2011; Comunian et al., 2011; Linde et al., 2015b] featuring representative alluvial deposit structures.

TIlog10K_lito = model based on lithological borehole data collected at the MADE site [Bianchi and Zheng, 2016].

TIlog10K_multiG = multi-Gaussian field adapted from Bianchi et al., [2011].

TIlog10K_outc = model based on a mapping study of a MADE outcrop [Rehfeldt et al., 1992; Linde et al., 2015].
description: {"references": ["Bianchi, M., C. Zheng, G. R. Tick, and S. M. Gorelick (2011)", "Bianchi, M., and C. Zheng (2016)", "Rehfeldt, K. R., J. M. Boggs, and L. W. Gelhar (1992)", "Ronayne, M. J., S. M. Gorelick, and C. Zheng (2010)", "Linde, N., T. Lochbuehler, M. Dogan, and R. L. Van Dam (2015)", "Strebelle, S. (2002)", "Comunian, A., P. Renard, J. Straubhaar, and P. Bayer (2011)", "Bayer, P., P. Huggenberger, P. Renard, and A. Comunian (2011)"]}
DOI: 10.5281/zenodo.2545587
title: Training images for the MADE site

description: Five training images that represent spatial hydraulic conductivity [log10 (cm/s)] of the MAcro Dispersion Experiment (MADE) site in Mississippi, USA. The .mat file contains five matrices each of them representing a training image called:

TIlog10K_chanStrebelleRoyane = highly conductive channels in an homogeneous matrix [Strebelle, 2002; Ronayne et al., 2010; Linde et al., 2015].

TIlog10K_herten = model based on a mapping study at the Herten site in Germany [Bayer et al., 2011; Comunian et al., 2011; Linde et al., 2015b] featuring representative alluvial deposit structures.

TIlog10K_lito = model based on lithological borehole data collected at the MADE site [Bianchi and Zheng, 2016].

TIlog10K_multiG = multi-Gaussian field adapted from Bianchi et al., [2011].

TIlog10K_outc = model based on a mapping study of a MADE outcrop [Rehfeldt et al., 1992; Linde et al., 2015].
description: {"references": ["Bianchi, M., C. Zheng, G. R. Tick, and S. M. Gorelick (2011)", "Bianchi, M., and C. Zheng (2016)", "Rehfeldt, K. R., J. M. Boggs, and L. W. Gelhar (1992)", "Ronayne, M. J., S. M. Gorelick, and C. Zheng (2010)", "Linde, N., T. Lochbuehler, M. Dogan, and R. L. Van Dam (2015)", "Strebelle, S. (2002)", "Comunian, A., P. Renard, J. Straubhaar, and P. Bayer (2011)", "Bayer, P., P. Huggenberger, P. Renard, and A. Comunian (2011)"]}
DOI: 10.14469/hpc/4976
title: Compound 5

description: NMR data for Compound 5
DOI: 10.14469/hpc/4977
title: 13C Labelling Data

description: 13C Labelled NMR data.
DOI: 10.5281/zenodo.2538689
title: Semiotic engagements with Zipf's law and beyond - Scott and Ludick

description: Zipfian analyses of Debussy's Syrinx for solo flute.
DOI: 10.5281/zenodo.2538690
title: Semiotic engagements with Zipf's law and beyond - Scott and Ludick

description: Zipfian analyses of Debussy's Syrinx for solo flute.
DOI: 10.14469/hpc/4979
title: NMR data

description: Mnova files
DOI: 10.25430/researchdata.cab.unipd.it.00000072
title: Dati da: Studio mineralogico-petrografico dei reperti in pietra ollare della rocca di Monselice

description: Il presente lavoro, rimasto inedito fino ad oggi, rende conto dell'attività di ricerca svolta e dei principali risultati conseguiti dall'autore sui reperti in pietra ollare della rocca di Monselice. Il documento, completato nell'agosto 1999, fornisce il quadro mineralogico-petrografico dei reperti oggetto di studio e, per ciascun litotipo, alcune indicazioni sul settore delle Alpi di provenienza della pietra ollare. Il contenuto di questo lavoro riflette lo stato delle conoscenze e delle tecniche adottate al momento della redazione del testo e va ad integrare il contributo di Chiara Malaguti che viene  pubblicato su questo stesso volume.

This research, carried out in August 1999 (and previously unpublished), focuses on the mineralogical
and petrographic analysis of the soapstone fragments found in the excavation of the Rocca di Monselice
(Italy). Each lithotype is examined in order to distinguish the origin of the soapstone in different
areas of the Alps. This work reflects the state of the art and techniques used in the late 1990s and
complements Chiara Malaguti’s paper published in this volume
DOI: 10.17632/64d7gds9hf.1
title: Data for: Modeling the transverse tensile and compressive failure behavior of triaxially braided composites
DOI: 10.17632/nnk9s4n2j2.1
title: Data for: A history of the modern Aral Sea (Central Asia) since the Late Pleistocene
DOI: 10.5281/zenodo.2545580
title: Rotation Electron Diffraction Processing (REDp) Dataset

description: RED data collected on garnet crystal
description: {"references": ["Zhang, D.; Oleynikov, P.; Hovmoller, S.; Zou, X., Z. Kristallogr. Cryst. Mater. 2010, 225, 94-102", "Wan, W.; Sun, J.; Su, J.; Hovm\u00f6ller, S.; Zou, X., Appl. Crystallogr. 2013, 46, 1863\u20131873"]}
DOI: 10.5281/zenodo.2545581
title: Rotation Electron Diffraction Processing (REDp) Dataset

description: RED data collected on garnet crystal
description: {"references": ["Zhang, D.; Oleynikov, P.; Hovmoller, S.; Zou, X., Z. Kristallogr. Cryst. Mater. 2010, 225, 94-102", "Wan, W.; Sun, J.; Su, J.; Hovm\u00f6ller, S.; Zou, X., Appl. Crystallogr. 2013, 46, 1863\u20131873"]}
DOI: 10.25345/c5331v
title: MassIVE MSV000083350 - STACHY COLETA
title: FUNGOS SAPROBIOS ISOLADOS DO SEMI ARIDO BRASILEIRO
DOI: 10.5281/zenodo.2544374
title: Dataset de análisis para la práctica en grupo de Ciclo de Vida - 2019

description: Datos de turismo, acoplados para Cantabria y Tenerife
DOI: 10.5281/zenodo.2544373
title: Dataset de análisis para la práctica en grupo de Ciclo de Vida - 2019

description: Datos de turismo, acoplados para Cantabria y Tenerife
DOI: 10.17183/lots_bathy
title: Lots bathymétriques du Shom

description: Depuis plus de 200 ans, le Shom entretient un fonds de connaissance bathymétrique enrichi au fil des levés et des campagnes composé de semis de sondes dont la densité d’informations supérieure à celle figurant sur les cartes marines. Un certain nombre de ces données est stocké dans la Base de Données Bathymétrique du Shom (BDBS). Elles constituent une base source de description du relief sous-marin nécessaire à de nombreuses applications (modélisation océanographique, exploitation des fonds sous-marins). Les lots bathymétriques sont l'extraction des données diffusables de cette base. Les informations ne sont pas modélisées. Cette modélisation est laissée à l’initiative des clients. Il s’agit donc de semis de sondes mesurées sur le terrain, traités aux standards hydrographiques en vigueur lors de leur acquisition et validées. Les extractions de données bathymétriques du produit couvrent l’ensemble de l'emprise de la zone économique exclusive (ZEE) française ainsi que les eaux internationales. La couverture et son découpage sont consultables sur les portails du Shom (data.shom.fr). Les positions des sondes sont fournies en coordonnées géographiques rapportées au système géodésique mondial de référence WGS84. Les sondes sont référencées verticalement au zéro de réduction des sondages. Ce zéro correspond généralement au zéro hydrographique de la zone considérée. Pour les fonds jusqu‘à 50m, la précision verticale des sondes varie de 30cm à 1m et la précision planimétrique de 1 à 20m. Au-delà, dans les grands fonds, la précision verticale est majoritairement de l'ordre de 1 à 2% de la profondeur du fond. Parfois, elle est plus élevée selon la technologie utilisée.
DOI: 10.17632/sjfy8gdhnf.1
title: Data for: Urban heat islands advance the timing of reproduction in a social insect

description: Data for ' Urban heat islands advance the timing of reproduction in a social insect' includes colony demographics, site locations, and habitat designations.
DOI: 10.5281/zenodo.2544991
title: Just a Test

description: Just a Test
DOI: 10.5281/zenodo.2544992
title: Just a Test

description: Just a Test
DOI: 10.5525/gla.researchdata.729
title: Hybrid optical gating for long-term 3D time-lapse imaging of the beating embryonic zebrafish heart

description: Data is currently being prepared and will be available from this page shortly.
DOI: 10.5286/isis.e.87837500
title: 1300023
DOI: 10.5286/isis.e.98833898
title: 1710468
DOI: 10.5286/isis.e.98833944
title: 1710191