cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.24339/ae20690c-1bdf-48b0-8c5d-c88fbc40ad4a
title: Underlying dataset(s) for manuscript: 'Duchenne muscular dystrophy gene expression is an independent prognostic marker for low-grade glioma'

description: This is the underlying dataset(s) to accompany the publication entitled "Duchenne muscular dystrophy gene expression is an independent prognostic marker for low-grade glioma"
DOI: 10.18430/m37bq6
title: X-ray diffraction data for the crystal structure of Pennisetum glaucum monodehydroascorbate reductase (7BQ6)
DOI: 10.5281/zenodo.5085094
title: Active components of commonly prescribed medicines affect influenza A virus-host cell interaction: a pilot study

description: Supplementary file
DOI: 10.5281/zenodo.5085093
title: Active components of commonly prescribed medicines affect influenza A virus-host cell interaction: a pilot study

description: Supplementary file
DOI: 10.48531/jbru.calmip/a3cifz/ax1jon
title: targetarea.tab

description: Environmental descriptors of marginal land per world region and global ecological zones.
DOI: 10.48531/jbru.calmip/a3cifz/ymxm1z
title: biopumpData.tab

description: Plant species descriptors, including environnemental data, including yield and plant residues
DOI: 10.48531/jbru.calmip/a3cifz/9xisw1
title: targetareaCSV_read me.txt

description: Documentation of target area variables
DOI: 10.48531/jbru.calmip/a3cifz/ejkr1f
title: biopump.tab

description: Descriptors for plant species, use, and environmental growing conditions
DOI: 10.48531/jbru.calmip/a3cifz/8el2l9
title: biopumpCSV_read me.txt

description: Documentation of plant species variables
DOI: 10.48531/jbru.calmip/a3cifz/m4mqiv
title: TA.tgz

description: Single-band raster dataset of target areas (marginal land per world region and global ecolocial zones, limited to 50 t SOC ha-1)
DOI: 10.48531/jbru.calmip/a3cifz/xzvpb4
title: R script.txt

description: R script to match target areas with biopumps and to model SOC changes, including losses from erosion
DOI: 10.48531/jbru.calmip/a3cifz
title: Data to assess spatially and species-explicit plant-based soil carbon sequestration on global marginal land

description: The curated data serves to quantify the biophysical potentials of specific plant-species (here referred to as biopumps) to enhance soil organic carbon sequestration on global marginal land, limited to low soil organic carbon stocks (≤50 t SOC ha-1) in bare and sparsely vegetated (15%) land covers, as well as abandoned agricultural land (over the period 2010-2018). The boundary delimitation of marginal land is an aggregation of specific target areas based on the world regions and the FAO’s global ecological zones, as a single-band raster dataset (see file “TA.tif”), applicable at regional and global scopes. The SOC modelling is based on yield and allometric relations to partition the carbon among the different plant fractions to determine the carbon inputs to the soil computed per biopump (see file “BiopumpData.xls”). The dataset contains two main data files with a double purpose to i) propose a mapping of global marginal land by means of combined and intersected georeferenced products (see file “targetarea.csv”), and identify suitable plant species (see file “biopump.csv”) on the target areas, both determined by geographic- and environmental (i.e. climatic and edaphic) constraints, and ii) at the same time to inform SOC models (here RothC v26.3 model) and other well-established models (e.g. RUSLE2015 on soil erosion) on the required model input data (e.g. monthly climate data and actual evapotranspiration, soil texture, plant-based C-inputs, soil cover, etc.). The matching and SOC modelling, including soil C erosion, are automatized with R script by loading the two .csv files (see file “R script”).
DOI: 10.15468/v7peta
title: Ophiocordyceps xuefengensis sp. nov. from larvae of Phassus nodus (Hepialidae) in Hunan Province, southern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wen, Ting-Chi, Zhu, Ru-Cai, Kang, Ji-Chuan, Huang, Ming-He, Tan, Dian-Bo, Ariyawansha, Hiran, Hyde, Kevin D., Liu, Hao (2013): Ophiocordyceps xuefengensis sp. nov. from larvae of Phassus nodus (Hepialidae) in Hunan Province, southern China. Phytotaxa 123 (1): 41-50, DOI: 10.11646/phytotaxa.123.1.2, URL: https://www.mendeley.com/catalogue/c577feef-d79f-3e90-90af-03665e657223/
DOI: 10.5281/zenodo.5081849
title: FRLGIOpenPOsSurvey

description: Description of the dataset: Collecting the inputs of POs about the strategic role, also identifying current gaps, prepare recommendations with the POs, list of services to be included in the platform. Data collected in November 2019 at a workshop organised by CICERONE
DOI: 10.5281/zenodo.5081848
title: FRLGIOpenPOsSurvey

description: Description of the dataset: Collecting the inputs of POs about the strategic role, also identifying current gaps, prepare recommendations with the POs, list of services to be included in the platform. Data collected in November 2019 at a workshop organised by CICERONE
DOI: 10.15468/3bwzew
title: Paronychia ubinensis (Caryophyllaceae: Paronychioideae) a new species from Moquegua, South Peru

description: This dataset contains the digitized treatments in Plazi based on the original journal article Montesinos Tubée, Daniel B. (2013): Paronychia ubinensis (Caryophyllaceae: Paronychioideae) a new species from Moquegua, South Peru. Phytotaxa 124 (1): 50-54, DOI: 10.11646/phytotaxa.124.1.6, URL: https://www.mendeley.com/catalogue/e47fa263-d3ff-3d2b-b58b-3ee6248e1480/
DOI: 10.15468/r5gkxv
title: Ultrastructure and distribution of Urosolenia obesa sp. nov. (Rhizosoleniaceae, Diatomeae) in reservoirs from southern Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tremarin, Priscila I., Freire, Eduardo G., Ludwig, Thelma A. V. (2013): Ultrastructure and distribution of Urosolenia obesa sp. nov. (Rhizosoleniaceae, Diatomeae) in reservoirs from southern Brazil. Phytotaxa 125 (1): 1-9, DOI: 10.11646/phytotaxa.125.1.1, URL: https://www.mendeley.com/catalogue/a645ba2a-fdfb-31a2-b645-2132856c3325/
DOI: 10.6084/m9.figshare.14495175
title: Delineating Source Contributions to Stream Dissolved Organic Matter Composition Under Baseflow Conditions in Forested Headwater Catchments

description: Data set used in the study entitled: 'Delineating Source Contributions to Stream Dissolved Organic Matter Composition Under Baseflow Conditions in Forested Headwater Catchments' from da Silva et al. JGR: biogeosciences.
DOI: 10.15468/5h5q3g
title: Corrections to Phytotaxa 112: Update on the systematics of Benstonea (Pandanaceae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Callmander, Martin W., Buerki, Sven (2013): Corrections to Phytotaxa 112: Update on the systematics of Benstonea (Pandanaceae). Phytotaxa 125 (1): 59-60, DOI: 10.11646/phytotaxa.125.1.9, URL: https://www.mendeley.com/catalogue/99e24edc-64f6-35bb-b1ad-3d26d45103b3/
DOI: 10.7910/dvn/5yvpys
title: ELSOC CIT Dataset 2016

description: En concordancia con la misión de producir evidencia y cumplir con el objetivo de dar libre acceso a ella para el estudio y análisis del conflicto y la cohesión social en Chile, el Centro de Estudios de Conflicto y Cohesión Social (COES) y el Centro de Inteligencia Territorial (CIT), ponen a disposición de la comunidad científica y de toda la sociedad civil las bases de datos ELSOC-CIT. Esta base de datos permite combinar la información del Estudio Longitudinal Social de Chile (ELSOC), y estimaciones e indicadores territoriales y geoespaciales de distinta índole, proveniente de diversas fuentes de información nacional. Con esta base de datos, única en su tipo en Chile y Latinoamérica, es posible abordar temas sociales y territoriales complejos, integrando ambos aspectos en modelos comprensivos de la realidad social chilena.
DOI: 10.6084/m9.figshare.13202912
title: Data for "Molecular Simulation-derived features for machine learning predictions of metal glass forming ability"

description: This is a set of data for the paper "Molecular Simulation-derived features for machine learning predictions of metal glass forming ability".<br>The data includes a molecular dynamics simulated database of critical cooling rates for 11 binary metallic alloys of compositions ranging from 0-10% of the minor alloying element. GFA inspired features have been extracted from the cooling runs and are included along with critical cooling rates in Compiled_Rc_V5.csv<br><br>Full machine learning outputs from the MAST-ML code package are also included for reference in the MASTML_Runs.zip file.<br><br>The 3 files beginning with "lasso..." and the last file "summary..." extract a few key results from the MASTML_Runs.zip file which were used for figures in the paper and in the case of the summary file, for easier comparison of the various model types explored but not detailed in the paper.<br>
DOI: 10.25402/cer.14938863
title: Supplementary Tables. Cost–effectiveness and cost–benefit analysis of oliceridine in the treatment of acute pain

description: Supplementary Table 1. Estimated mean and median cost and length of stay (LOS) derived from the 2017 National Inpatient Sample-Healthcare Cost and Utilization Project (NIS-HCUP) dataset. <br>Supplementary Table 2. Estimated cost weights for opioid-induced respiratory depression events by type of surgery (in 2017 US dollars).<br>Supplementary Table 3. Health economic model cost weights for opioid-induced respiratory depression, vomiting, and somnolence inflated to 2020 US dollar costs.<br>Supplementary Table 4. Base model estimates: Summary of impact of sensitivity analyses on the base model estimates. <br>Supplementary Table 5. Oliceridine parameter values used in the Monte Carlo simulations (values for morphine parameters were similarly varied).<br>
DOI: 10.25402/cer.14938863.v1
title: Supplementary Tables. Cost–effectiveness and cost–benefit analysis of oliceridine in the treatment of acute pain

description: Supplementary Table 1. Estimated mean and median cost and length of stay (LOS) derived from the 2017 National Inpatient Sample-Healthcare Cost and Utilization Project (NIS-HCUP) dataset. <br>Supplementary Table 2. Estimated cost weights for opioid-induced respiratory depression events by type of surgery (in 2017 US dollars).<br>Supplementary Table 3. Health economic model cost weights for opioid-induced respiratory depression, vomiting, and somnolence inflated to 2020 US dollar costs.<br>Supplementary Table 4. Base model estimates: Summary of impact of sensitivity analyses on the base model estimates. <br>Supplementary Table 5. Oliceridine parameter values used in the Monte Carlo simulations (values for morphine parameters were similarly varied).<br>
DOI: 10.24414/k1xz-ae04
title: SolO/EUI Data Release 3.0 2021-07

description: The Extreme Ultraviolet Imager (EUI) is part of the remote sensing instrument package of the ESA/NASA Solar Orbiter mission. The EUI consists of three telescopes, the Full Sun Imager (FSI) and two High Resolution Imagers (HRILYA, HRIEUV), which are optimised to image in Lyman-α and EUV (17.4 nm, 30.4 nm) to provide a coverage from chromosphere up to corona. EUI scientific data consists of calibrated and raw data images acquired by the three EUI telescopes. Following the orbit profile of Solar Orbiter, the data coverage, imaging cadence and effective spatial resolution of the EUI data are very variable. "SolO/EUI data release 3.0" contains the Solar Orbiter/EUI data recorded up till and including 2021 April 28. This period covers the Near Earth Commissioning Phase (NECP) and the first few months of Cruise Phase. This implies that most data is the result of technical tests, for which the instrument configuration was often non-nominal. Most data is therefore a-priori not suitable for scientific analysis but is instead primarily intended as a reference for the further development of analysis and visualisation software.
DOI: 10.25502/y7q6-rn92/d
title: Effect of neem seed oil incidence on fruit fly incidence and abondance on cucumber and squash

description: Preliminary testing of plant extracts as insecticides in organic cultivation
DOI: 10.5281/zenodo.5084914
title: Bach Chorales Figured Bass (BCFB) dataset

description: The Bach Chorales Figured Bass (BCFB) dataset includes the complete 139 Johann Sebastian Bach chorales with figured bass encodings in MusicXML, **kern, and MEI formats, based on the Neue Bach Ausgabe (NBA) critical edition. This work was presented at the International Society for Music Information Retrieval (ISMIR) Conference<em> </em>2020. The files can be found within the folder <strong>FB_source</strong>. Within the folders <strong>FB_source/musicXML_master</strong> (.musicxml, ignore the files of the following subfolders: <strong>editorial_ones</strong>, <strong>editorial_FB_only</strong>, <strong>BCMCL</strong>), <strong>FB_source/translated_kern</strong> (.krn), and <strong>FB_source/translated_mei</strong> (.mei), you can find 143 (more than 139) symbolic files with figured bass annotations. This is because BWV 10.07, BWV 161.06, BWV 38.06, and BWV 177.05 have two different versions based on NBA. You can use MuseScore to open (.musicxml) files, Verovio Humdrum Viewer to open (.krn) file, and Verovio to open (.mei) file to view both the music and the figured bass annotations. If you use this version of the files, it will be greatly appreciated if you cite the following paper: <pre><code>@inproceedings{ju_automatic_2020, title = {Automatic {Figured} {Bass} {Annotation} {Using} the {New} {Bach} {Chorales} {Figured} {Bass} {Dataset}}, booktitle = {Proceedings of the 21th {International} {Society} for {Music} {Information} {Retrieval} {Conference}}, author = {Ju, Yaolong and Margot, Sylvain and McKay, Cory and Dahn, Luke and Fujinaga, Ichiro}, year = {2020}, pages = {640--646}, } </code></pre> The metadata of these chorales can be found in <strong>Reference Table.csv </strong>under the root directory. If you have any questions, please email to <strong>yaolong.ju@mail.mcgill.ca</strong>.
description: {"references": ["Ju, Yaolong, Sylvain Margot, Cory McKay, Luke Dahn, and Ichiro Fujinaga. 2020. Automatic Figured Bass Annotation Using the New Bach Chorales Figured Bass Dataset. In Proceedings of the 21th International Society for Music Information Retrieval Conference, 640\u2013646"]}
DOI: 10.5281/zenodo.5084913
title: Bach Chorales Figured Bass (BCFB) dataset

description: The Bach Chorales Figured Bass (BCFB) dataset includes the complete 139 Johann Sebastian Bach chorales with figured bass encodings in MusicXML, **kern, and MEI formats, based on the Neue Bach Ausgabe (NBA) critical edition. This work was presented at the International Society for Music Information Retrieval (ISMIR) Conference<em> </em>2020. The files can be found within the folder <strong>FB_source</strong>. Within the folders <strong>FB_source/musicXML_master</strong> (.musicxml, ignore the files of the following subfolders: <strong>editorial_ones</strong>, <strong>editorial_FB_only</strong>, <strong>BCMCL</strong>), <strong>FB_source/translated_kern</strong> (.krn), and <strong>FB_source/translated_mei</strong> (.mei), you can find 143 (more than 139) symbolic files with figured bass annotations. This is because BWV 10.07, BWV 161.06, BWV 38.06, and BWV 177.05 have two different versions based on NBA. You can use MuseScore to open (.musicxml) files, Verovio Humdrum Viewer to open (.krn) file, and Verovio to open (.mei) file to view both the music and the figured bass annotations. If you use this version of the files, it will be greatly appreciated if you cite the following paper: <pre><code>@inproceedings{ju_automatic_2020, title = {Automatic {Figured} {Bass} {Annotation} {Using} the {New} {Bach} {Chorales} {Figured} {Bass} {Dataset}}, booktitle = {Proceedings of the 21th {International} {Society} for {Music} {Information} {Retrieval} {Conference}}, author = {Ju, Yaolong and Margot, Sylvain and McKay, Cory and Dahn, Luke and Fujinaga, Ichiro}, year = {2020}, pages = {640--646}, } </code></pre> The metadata of these chorales can be found in <strong>Reference Table.csv </strong>under the root directory. If you have any questions, please email to <strong>yaolong.ju@mail.mcgill.ca</strong>.
description: {"references": ["Ju, Yaolong, Sylvain Margot, Cory McKay, Luke Dahn, and Ichiro Fujinaga. 2020. Automatic Figured Bass Annotation Using the New Bach Chorales Figured Bass Dataset. In Proceedings of the 21th International Society for Music Information Retrieval Conference, 640\u2013646"]}
DOI: 10.7910/dvn/bp81ry
title: Replication Data for: Compliance, defiance, and the dependency trap: International Monetary Fund program interruptions and their impact on capital markets

description: The International Monetary Fund (IMF) is infamous for its structural adjustment programs, requiring countries to undertake policy reforms in exchange for loans. Yet, not only do countries routinely fail to implement these reforms, but they also frequently return to the IMF to start the process anew. What explains this compelling case of transnational regulatory ineffectiveness? We argue that countries are caught in a dependency trap: politically contentious policy prescriptions drive non-compliance, triggering adverse market reactions that leave countries with few sources of financing beyond the IMF, leading to their eventual return to the doors of the organization for a fresh loan. Using new data on 763 IMF programs from 1980 to 2015, we initially demonstrate that the prevalence of market-liberalizing structural reforms increases the likelihood of program interruptions. We then show that program interruptions undermine investor confidence and increase sovereign borrowing costs. Our study uncovers hitherto neglected relationships between the international institutions of regulatory capitalism, country compliance, and financial market responses.
DOI: 10.15468/9q3w2q
title: Two new species of Pestalotiopsis from Southern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Song, Yu, Geng, Kun, Zhang, Bin, Hyde, Kevin D., Zhao, Wen-Sheng, Wei, Ji-Guang, Kang, Ji-Chuan, Wang, Yong (2013): Two new species of Pestalotiopsis from Southern China. Phytotaxa 126 (1): 22-30, DOI: 10.11646/phytotaxa.126.1.2, URL: http://dx.doi.org/10.11646/phytotaxa.126.1.2
DOI: 10.5519/qd.7v9pvvcd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (167595 records)
DOI: 10.5281/zenodo.5068319
title: Bach Chorales Multiple Chord Labels (BCMCL) dataset

description: The Bach Chorales Multiple Chord Labels dataset was proposed in our DLfM (Digital Library for Musicology) 2020 conference paper: "Automatic Chord Labelling: A Figured Bass Approach". There are four parallel tracks of chord labels, produced by each of the four rule-based algorithms (Algorithms A, B, C, and D). The chord labels of each algorithm can be found in each folder, where the music (Bach chorales) and annotations are presented in the MusicXML format. Overall, there are 120 Bach chorales (or 123 since there are three chorales with two versions) annotated this way. If you make use of BCMCL, please cite the following publication: <pre><code>@inproceedings{ju_automatic_2020, title = {Automatic {Chord} {Labelling}: {A} {Figured} {Bass} {Approach}}, shorttitle = {Automatic {Chord} {Labelling}}, booktitle = {Proceedings of the 7th {International} {Conference} on {Digital} {Libraries} for {Musicology}}, author = {Ju, Yaolong and Margot, Sylvain and McKay, Cory and Fujinaga, Ichiro}, year = {2020}, pages = {27--31}, } </code></pre> Please email to <strong>yaolong.ju@mail.mcgill.ca</strong> if you have any questions.
DOI: 10.5281/zenodo.5068315
title: Bach Chorales Multiple Chord Labels (BCMCL) dataset

description: The Bach Chorales Multiple Chord Labels dataset was proposed in our DLfM (Digital Library for Musicology) 2020 conference paper: "Automatic Chord Labelling: A Figured Bass Approach". There are four parallel tracks of chord labels, produced by each of the four rule-based algorithms (Algorithms A, B, C, and D). The chord labels of each algorithm can be found in each folder, where the music (Bach chorales) and annotations are presented in the MusicXML format. Overall, there are 120 Bach chorales (or 123 since there are three chorales with two versions) annotated this way. If you make use of BCMCL, please cite the following publication: <pre><code>@inproceedings{ju_automatic_2020, title = {Automatic {Chord} {Labelling}: {A} {Figured} {Bass} {Approach}}, shorttitle = {Automatic {Chord} {Labelling}}, booktitle = {Proceedings of the 7th {International} {Conference} on {Digital} {Libraries} for {Musicology}}, author = {Ju, Yaolong and Margot, Sylvain and McKay, Cory and Fujinaga, Ichiro}, year = {2020}, pages = {27--31}, } </code></pre> Please email to <strong>yaolong.ju@mail.mcgill.ca</strong> if you have any questions.
DOI: 10.5281/zenodo.5075648
title: mCRL2 models and requirements for the EULYNX Point interface

description: 2 mCRL2 models and 9 nine mu-calculus formulas for the EULYNX Point Interface. Models and requirements are made in the context of the FormaSig project. Data is made available for replication purposes.
DOI: 10.6084/m9.figshare.14939010
title: A channelized debris-avalanche deposit from Pirongia basaltic stratovolcano, New Zealand

description: Major and trace element data for representative clasts from the Oparau breccia
DOI: 10.6084/m9.figshare.14939010.v1
title: A channelized debris-avalanche deposit from Pirongia basaltic stratovolcano, New Zealand

description: Major and trace element data for representative clasts from the Oparau breccia
DOI: 10.15468/cg3qwf
title: Nemesia arenifera (Scrophulariaceae), a new species from the Sandveld, Northern Cape Province, South Africa, and the lectotypification of N. viscosa

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bester, Stoffel P., Steyn, Hester M. (2013): Nemesia arenifera (Scrophulariaceae), a new species from the Sandveld, Northern Cape Province, South Africa, and the lectotypification of N. viscosa. Phytotaxa 126 (1): 49-54, DOI: 10.11646/phytotaxa.126.1.6, URL: http://dx.doi.org/10.11646/phytotaxa.126.1.6