cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive107405.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive107406.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive107407.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive107408.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive107409.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive107410.20191129.4.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.9926486
title: Production of Medium Chain Fatty Acid Ethyl Ester, Combustion, and Its Gas emission using a Small-Scale Gas Turbine Jet Engine

description: Refined palm kernel oil was trans-esterified with ethanol to produce fatty acid ethyl esters. The medium-chain fatty acid ethyl ester (bio-kerosene) was fractionated from the bottom fraction and was characterized for its properties as well as lubricity. The heat of combustion was reported at 38.32 MJ/kg which was 11.09% lower than fossil kerosene. Combustion testing in a small-scale gas-turbine jet engine was investigated without engine modification. The optimum thrust-specific fuel consumption was reported for 0.99 L/kJ at 102,200 rpm. The exhaust gas characteristic was superior to fossil kerosene due to lower emission of CO, hydrocarbon, and NO<sub>2</sub>.
DOI: 10.6084/m9.figshare.9926486.v1
title: Production of Medium Chain Fatty Acid Ethyl Ester, Combustion, and Its Gas emission using a Small-Scale Gas Turbine Jet Engine

description: Refined palm kernel oil was trans-esterified with ethanol to produce fatty acid ethyl esters. The medium-chain fatty acid ethyl ester (bio-kerosene) was fractionated from the bottom fraction and was characterized for its properties as well as lubricity. The heat of combustion was reported at 38.32 MJ/kg which was 11.09% lower than fossil kerosene. Combustion testing in a small-scale gas-turbine jet engine was investigated without engine modification. The optimum thrust-specific fuel consumption was reported for 0.99 L/kJ at 102,200 rpm. The exhaust gas characteristic was superior to fossil kerosene due to lower emission of CO, hydrocarbon, and NO<sub>2</sub>.
DOI: 10.6084/m9.figshare.13603517.v1
title: Metabarcoding lemur diet dataset two - ZBJ COI primer set

description: These datasets are associated with the paper titled "Exploratory analysis reveals arthropod consumption in ten lemur species using DNA metabarcoding" accepted in the American Journal of Primatology. <br>Each dataset contains paired .fastq files for 192 samples <br>These data were generated by sequencing faecal samples from lemurs (sampled following all correct protocols - see paper) and detecting arthropod DNA in their diet. <br>We generated the sequences in this dataset by extracting total DNA from faecal samples collected from various lemur species. PCRs were then conducted using two primer sets. <br>Dataset one contains the amplicons generated using primers we coded "Ber-Luthien", sequences from Cuff et al 2020 (Ecological Entomology, doi.org/10.1111/een.12957) which targets a 312bp region of arthropod COI <br>Dataset two contains the amplicons generated using primers we coded "ZBJ", sequences from Zeale et al 2010 (Molecular ecology resources, doi.org/10.1111/j.1755-0998.2010.02920.x) which targets a different region of the arthropod COI gene and generates a shorter fragment (157bp)<br>All amplicons were pooled and sequencing using Illumina MiSeq (250bp PE)<br>The sample ID (AKR#) and the corresponding lemur species from which the lemur faecal sample was analysed can be found in the file SampleInfo.xlsx<br>Data was analysed using the mBRAVE platform (www.mbrave.net)<br><br>
DOI: 10.6084/m9.figshare.13246841
title: Data file 4 - Organelle database

description: NCBI queries to download and build the organellar protein database used with tag-loc-ids.pl.<br>
DOI: 10.5281/zenodo.4441679
title: PBMC 3k test datasets for besca

description: This is a single cell transcriptomics dataset containing roughly 3,000 PBMCs. The original data was downloaded from the Seurat 3k PBMC tutorial: https://satijalab.org/seurat/v3.0/pbmc3k_tutorial.html. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).
description: {"references": ["Butler A, Hoffman P, Smibert P, Papalexi E, Satija R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat Biotechnol. 2018;36(5):411\u2010420. doi:10.1038/nbt.4096", "https://satijalab.org/seurat/v3.0/pbmc3k_tutorial.html"]}
DOI: 10.5281/zenodo.3752812
title: PBMC 3k test datasets for besca

description: This is a single cell transcriptomics dataset containing roughly 3,000 PBMCs. The original data was downloaded from the Seurat 3k PBMC tutorial: https://satijalab.org/seurat/v3.0/pbmc3k_tutorial.html. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).
description: {"references": ["Butler A, Hoffman P, Smibert P, Papalexi E, Satija R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat Biotechnol. 2018;36(5):411\u2010420. doi:10.1038/nbt.4096", "https://satijalab.org/seurat/v3.0/pbmc3k_tutorial.html"]}
DOI: 10.5281/zenodo.4447173
title: Mitata at Psiloritis UNESCO Global Geopark

description: Shepherd settlements ('Mitato', plural 'Mitata') at the Psiloritis UNESCO Global GeoPark, Greece. These settlements were used for the seasonal droving of livestock along migratory routes and were made using The art of dry stone walling. The dataset contains the 3D model and a video rendering of the model. GPS Location: (35.2187652, 24.8740329) Relevant UNESCO inscriptions: Transhumance, the seasonal droving of livestock along migratory routes in the Mediterranean and in the Alps 14.COM 10.b.2 Art of dry stone walling, knowledge and techniques 13.COM 10.b.10
DOI: 10.6084/m9.figshare.13235063.v1
title: Data set 3 - Forty-two reports and configuration files

description: Forty-Two's files: command-line yaml generating script (.sh), configuration file (.yaml), queries (.txt), reference organisms (.tsv) and external contamination reports (taxonomic affiliations and summary; .tsv).<br>
DOI: 10.15129/04acc904-3e94-48b3-b3af-5e4da9ea0794
title: Data for: "Facile access to hetero-poly-functional arenes and meta-substituted arenes via two-step dimetalation and Mg/halogen-exchange protocol"

description: Dataset contains full synthetic details and analysis (including where appropriate X-ray data and NMR spectroscopic data for the molecules discussed in the paper.
DOI: 10.5281/zenodo.4447233
title: Haber2017 (GSE92332) mouse intestine dataset for Besca

description: Here we used Besca to reprocessed the mouse small intestine single cell transcriptomics dataset GSE92332 downloaded from GEO. It was originally published by [Haber et al. Nature. 2017] and also used in the best practices paper by [Luecken & Theis. Mol Syst Biol. 2019].
description: {"references": ["Haber AL, Biton M, Rogel N, et al. A single-cell survey of the small intestinal epithelium. Nature. 2017;551(7680):333-339. doi:10.1038/nature24489", "La Manno G, Soldatov R, Zeisel A, et al. RNA velocity of single cells. Nature. 2018;560(7719):494-498. doi:10.1038/s41586-018-0414-6", "Luecken MD, Theis FJ. Current best practices in single-cell RNA-seq analysis: a tutorial. Mol Syst Biol. 2019;15(6):e8746. Published 2019 Jun 19. doi:10.15252/msb.20188746"]}
DOI: 10.5281/zenodo.3935781
title: Haber2017 (GSE92332) mouse intestine dataset for Besca

description: Here we used Besca to reprocessed the mouse small intestine single cell transcriptomics dataset GSE92332 downloaded from GEO. It was originally published by [Haber et al. Nature. 2017] and also used in the best practices paper by [Luecken & Theis. Mol Syst Biol. 2019].
description: {"references": ["Haber AL, Biton M, Rogel N, et al. A single-cell survey of the small intestinal epithelium. Nature. 2017;551(7680):333-339. doi:10.1038/nature24489", "La Manno G, Soldatov R, Zeisel A, et al. RNA velocity of single cells. Nature. 2018;560(7719):494-498. doi:10.1038/s41586-018-0414-6", "Luecken MD, Theis FJ. Current best practices in single-cell RNA-seq analysis: a tutorial. Mol Syst Biol. 2019;15(6):e8746. Published 2019 Jun 19. doi:10.15252/msb.20188746"]}
DOI: 10.5519/qd.r0jkp7tw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1335 records)
DOI: 10.15468/bgqpxw
title: Una especie nueva de Lasiurus (Chiroptera: Vespertilionidae) del suroeste de Perú

description: This dataset contains the digitized treatments in Plazi based on the original journal article Málaga, Brian A., Díaz, Darwin R., Arias, Sandra, Medina, César E. (2020): Una especie nueva de Lasiurus (Chiroptera: Vespertilionidae) del suroeste de Perú. Revista Mexicana de Biodiversidad 91: 1-14, DOI: 10.22201/ib.20078706e.2020.91.3096, URL: http://dx.doi.org/10.22201/ib.20078706e.2020.91.3096
DOI: 10.5281/zenodo.4447230
title: proportion expressed across transcripts (pext)

description: Original file that was previously found here: <pre><code class="language-http">https://storage.googleapis.com/gnomad-public/papers/2019-tx-annotation/pre_computed/all.possible.snvs.tx_annotated.022719.tsv.bgz</code></pre> Now only a newer file is available: <pre><code class="language-http">https://storage.googleapis.com/gnomad-public/papers/2019-tx-annotation/pre_computed/all.possible.snvs.tx_annotated.GTEx.v7.021520.tsv.bgz</code></pre> which is differs from the original.
description: {"references": ["Cummings BB, Karczewski KJ, Kosmicki JA, et al (2020) Transcript expression-aware annotation improves rare variant interpretation. Nature 581:452\u2013458."]}
DOI: 10.5281/zenodo.4447229
title: proportion expressed across transcripts (pext)

description: Original file that was previously found here: <pre><code class="language-http">https://storage.googleapis.com/gnomad-public/papers/2019-tx-annotation/pre_computed/all.possible.snvs.tx_annotated.022719.tsv.bgz</code></pre> Now only a newer file is available: <pre><code class="language-http">https://storage.googleapis.com/gnomad-public/papers/2019-tx-annotation/pre_computed/all.possible.snvs.tx_annotated.GTEx.v7.021520.tsv.bgz</code></pre> which is differs from the original.
description: {"references": ["Cummings BB, Karczewski KJ, Kosmicki JA, et al (2020) Transcript expression-aware annotation improves rare variant interpretation. Nature 581:452\u2013458."]}
DOI: 10.5517/ccdc.csd.cc25q2mm
title: CCDC 2017220: Experimental Crystal Structure Determination

description: Related Article: Biljana Glisic, Beata Warżajtis, Marcin Hoffmann, Urszula Rychlewska, Miloš Djuran|2020|RSC Advances|10|44481|doi:10.1039/D0RA08731A
DOI: 10.5517/ccdc.csd.cc25xmj8
title: CCDC 2023510: Experimental Crystal Structure Determination

description: Related Article: Zhen Chen, Jingyu Guo, Shujuan Han, Hao Zeng, Zhihua Yang, Shilie Pan|2021|CrystEngComm|23|35|doi:10.1039/D0CE01569E
DOI: 10.5517/ccdc.csd.cc227z3f
title: CCDC 1914284: Experimental Crystal Structure Determination

description: Related Article: Lin Zhou, Rui-Xia Li, Ping-Ping Shi, Qiong Ye, Da-Wei Fu|2020|Inorg.Chem.|59|18174|doi:10.1021/acs.inorgchem.0c02649
DOI: 10.5517/ccdc.csd.cc25xmk9
title: CCDC 2023511: Experimental Crystal Structure Determination

description: Related Article: Zhen Chen, Jingyu Guo, Shujuan Han, Hao Zeng, Zhihua Yang, Shilie Pan|2021|CrystEngComm|23|35|doi:10.1039/D0CE01569E
DOI: 10.5517/ccdc.csd.cc261q11
title: CCDC 2027432: Experimental Crystal Structure Determination

description: Related Article: João C. P. Mayer, Thiago V. Acunha, Oscar E. D. Rodrigues, Davi F. Back, Otávio A. Chaves, Luciano Dornelles, Bernardo A. Iglesias|2021|New J.Chem.|45|471|doi:10.1039/D0NJ04530F
DOI: 10.5517/ccdc.csd.cc26h2tm
title: CCDC 2040290: Experimental Crystal Structure Determination

description: Related Article: Huu-Tri Huynh, Olivier Jeannin, Emmanuel Aubert, Enrique Espinosa, Marc Fourmigué|2021|New J.Chem.|45|76|doi:10.1039/D0NJ05293K
DOI: 10.5517/ccdc.csd.cc227z4g
title: CCDC 1914285: Experimental Crystal Structure Determination

description: Related Article: Lin Zhou, Rui-Xia Li, Ping-Ping Shi, Qiong Ye, Da-Wei Fu|2020|Inorg.Chem.|59|18174|doi:10.1021/acs.inorgchem.0c02649
DOI: 10.5517/ccdc.csd.cc26h2sl
title: CCDC 2040289: Experimental Crystal Structure Determination

description: Related Article: Huu-Tri Huynh, Olivier Jeannin, Emmanuel Aubert, Enrique Espinosa, Marc Fourmigué|2021|New J.Chem.|45|76|doi:10.1039/D0NJ05293K
DOI: 10.5517/ccdc.csd.cc26sl2p
title: CCDC 2049412: Experimental Crystal Structure Determination

description: Related Article: X.-L. Niu, L. Wei, J.-C. Liu, W.-H. Jia, J.-P. Ma, L. Wang, J.-C. Wang, Y.-B. Dong|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|29|doi:10.1107/S2053229620016083
DOI: 10.5517/ccdc.csd.cc26sl3q
title: CCDC 2049413: Experimental Crystal Structure Determination

description: Related Article: X.-L. Niu, L. Wei, J.-C. Liu, W.-H. Jia, J.-P. Ma, L. Wang, J.-C. Wang, Y.-B. Dong|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|29|doi:10.1107/S2053229620016083
DOI: 10.5517/ccdc.csd.cc26sl4r
title: CCDC 2049414: Experimental Crystal Structure Determination

description: Related Article: X.-L. Niu, L. Wei, J.-C. Liu, W.-H. Jia, J.-P. Ma, L. Wang, J.-C. Wang, Y.-B. Dong|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|29|doi:10.1107/S2053229620016083
DOI: 10.5517/ccdc.csd.cc26sl5s
title: CCDC 2049415: Experimental Crystal Structure Determination

description: Related Article: X.-L. Niu, L. Wei, J.-C. Liu, W.-H. Jia, J.-P. Ma, L. Wang, J.-C. Wang, Y.-B. Dong|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|29|doi:10.1107/S2053229620016083
DOI: 10.5517/ccdc.csd.cc26sl6t
title: CCDC 2049416: Experimental Crystal Structure Determination

description: Related Article: X.-L. Niu, L. Wei, J.-C. Liu, W.-H. Jia, J.-P. Ma, L. Wang, J.-C. Wang, Y.-B. Dong|2021|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|77|29|doi:10.1107/S2053229620016083
DOI: 10.5281/zenodo.3822280
title: Transient Electromagnetic data from the Los Humeros geothermal field in Mexico: raw data

description: The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Los Humeros geothermal field, Mexico and their locations in a .csv file. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.
DOI: 10.5281/zenodo.3813578
title: Magneto-telluric data from the Los Humeros geothermal field in Mexico: time series and edi-files

description: The data are from the Los Humeros geothermal field in Mexico. The dataset is composed of time series of magneto-telluric data and edi-files obtained from the time series. A file containing the location of the soundings and calibration files are also in the dataset. The Metronix equipment was used to acquire the data. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.
DOI: 10.5281/zenodo.3813577
title: Magneto-telluric data from the Los Humeros geothermal field in Mexico: time series and edi-files

description: The data are from the Los Humeros geothermal field in Mexico. The dataset is composed of time series of magneto-telluric data and edi-files obtained from the time series. A file containing the location of the soundings and calibration files are also in the dataset. The Metronix equipment was used to acquire the data. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.
DOI: 10.5281/zenodo.3822279
title: Transient Electromagnetic data from the Los Humeros geothermal field in Mexico: raw data

description: The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Los Humeros geothermal field, Mexico and their locations in a .csv file. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.
DOI: 10.5281/zenodo.3822297
title: Transient Electromagnetic data from the Acoculco area in Mexico: raw data

description: The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Acoculco area, Mexico and their locations in a .csv file. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.
DOI: 10.5281/zenodo.3822296
title: Transient Electromagnetic data from the Acoculco area in Mexico: raw data

description: The dataset is composed of raw data from TerraTEM (from Monex GeoScope, single loop) from the Acoculco area, Mexico and their locations in a .csv file. The data were gathered under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 727550, and by the Mexican Energy Sustainability Fund CONACYT-SENER, Project 2015-04-268074.
DOI: 10.6084/m9.figshare.13603991
title: MLb-LDLr.xlsx

description: MLb-LDLr is a software that predicts the pathogenicity of LDLr variants. It is based on the pathogenicity frequency of more than 700 variants annotated on ClinVar database. This document contains the used ClinVar database, Pik values of each characteristic and the prediction of all the possible LDLr variants
DOI: 10.5281/zenodo.4382099
title: Dataset of raw experiments data of large triaxial-experiments

description: This data set contains the measurement data of 20 large-scale triaxial (permeability included) tests carried out. Synthetic sand-lime bricks (KS XL) from the Silka company and the natural Nievelstein sandstone were sampled. The samples have a size of about 25 cm in diameter and a height of 45 cm. The experiments where carried out at the Chair of Geotechnical Engeneering at the RWTH Aachen University in Germany. The following data were recorded for the rock samples: geomechanical probe properties size and weight density (dry and wet) porosity permeability coefficient uniaxial strength During the tests the following data were recorded: axial strain confining and axial pressure fluid pressure fluid flow through specimen temperatures Data sets are stored in a MySQL-Database. Data sets can be interpreted with the devloped Triaxial Test Evaluation Tool.
description: These experiments were carried out as part of a joint project called MERID (Microstructural Influence on Reservoir Integrity at Variable Hydromechanical Conditions) funded by the German Federal Ministry of Education and Research as part of GEO:N Project (Geoforschung für Nachhaltigkeit).
DOI: 10.5281/zenodo.3862995
title: data supplement of "The causes of sea-level rise since 1900"

description: <strong>Data supplement for 'The causes of sea-level rise since 1900'</strong><br> (c) 2020 All Rights Reserved This is the data supplement for Thomas Frederikse, Felix Landerer, Lambert Caron, Surendra Adhikari, David Parkes, Vincent W. Humphrey, Soenke Dangendorf, Peter Hogarth, Laure Zanna, Lijing Cheng, Yun-Hao Wu: 'The causes of sea-level rise since 1900', Nature, 2020 (https://doi.org/10.1038/s41586-020-2591-3). A NetCDF-formatted file with the global sea-level curve and the components can also be obtained from NASA PO.DAAC: https://doi.org/10.5067/GMSLT-FJPL1. <strong>PLEASE CITE THE APPROPRIATE PAPERS WHEN USING THIS DATA</strong><br> Please cite 'The causes of sea-level rise since 1900' when using this data set. However, most of the data heavily relies on previous work by many authors, and please acknowledge that work by citing the original sources of the data. The main text and materials and methods section of 'The causes of sea-level rise since 1900' contains the full list of sources of all the data.<br> <strong>PLEASE CHECK THIS CAREFULLY!</strong> This supplement contains the following files: <em>global_basin_timeseries.xlsx </em><br> Global-mean and basin-mean time series of sea level and the individual contributing processes <em>region_info.xlsx </em><br> List of all tide-gauge stations and VLM estimates used for each region <em>GMSL_ensembles.nc </em><br> All 5000 ensemble members of GMSL and the contributing processes. The variable 'likelihood' provides the normalized likelihood of each ensemble member. Spatial patterns in relative sea level and solid-Earth deformation and the standard deviation due to each barystatic process are provided for each process individually: <em>AIS.nc </em><br> Antarctic Ice Sheet <em>GrIS.nc </em><br> Greenland Ice Sheet <em>glac.nc </em><br> Glaciers (excluding Greenland periphery) <em>tws.nc </em><br> Terrestrial Water Storage <em>total.nc </em><br> All <em>barystatic</em> processes combined <em>steric.nc </em><br> Mean and standard deviation (1957-2018) of the steric anomalies (thermo- and halosteric) The code to generate this data can be found at https://github.com/thomasfrederikse/sealevelbudget_20c