cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/r79q-vn41
title: ExoNet Database: Wearable Camera Images of Human Locomotion Environments

description: Recent advances in computer vision and artificial intelligence have allowed researchers to develop environment recognition systems for lower-limb exoskeletons and prostheses. However, insufficient and private training databases have impeded the widespread development and dissemination of image classification algorithms for environment recognition. To address these shortcomings, we developed “ExoNet” - the first open-source, large-scale hierarchical database of high-resolution wearable camera images of human locomotion environments. Unparalleled in both scale and diversity, ExoNet comprises over 5.6 million images of different indoor and outdoor real-world walking environments, which were collected using a lightweight wearable smartphone camera system throughout the summer, fall, and winter seasons. Approximately 940,000 images in ExoNet were human-annotated using a 12-class hierarchical classification architecture. Available publicly through IEEE DataPort, ExoNet provides an unprecedented communal platform for training, developing, and comparing image classification algorithms for next-generation environment recognition systems. Beyond the control of lower-limb exoskeletons and prostheses, applications of ExoNet extend to humanoid and autonomous legged robotics.
DOI: 10.17632/nxs56ss7cf.5
title: Data for: Metabolomic profiling unveils similar cytotoxicities and protective functionality of quercetin of deoxynivalenol and 15-acetyl deoxynivalenol induced cell apoptosis

description: These data sets are the results of our research.
DOI: 10.5281/zenodo.3748299
title: Web-scraping Clasificación actualizada de equipos de fútbol profesional en las ligas europeas

description: Un dataset es un una colección de datos, normalmente tabulada. En este caso el conjunto de datos procede de la página oficial del mayor organismo futbolístico a nivel europeo. La información que pública la UEFA corresponde, entre otra, a todas las ligas con sus correspondientes clasificaciones de los equipos según los partidos que han jugado. Los datos extraídos corresponden precisamente a todos los equipos de estas ligas europeas con los puntos, posiciones, partidos… de cada uno de ellos. De ahí que se haya escogido el nombre anteriormente mencionado: Clasificación actualizada de equipos de fútbol profesional en las ligas europeas.
DOI: 10.5281/zenodo.3748300
title: Web-scraping Clasificación actualizada de equipos de fútbol profesional en las ligas europeas

description: Un dataset es un una colección de datos, normalmente tabulada. En este caso el conjunto de datos procede de la página oficial del mayor organismo futbolístico a nivel europeo. La información que pública la UEFA corresponde, entre otra, a todas las ligas con sus correspondientes clasificaciones de los equipos según los partidos que han jugado. Los datos extraídos corresponden precisamente a todos los equipos de estas ligas europeas con los puntos, posiciones, partidos… de cada uno de ellos. De ahí que se haya escogido el nombre anteriormente mencionado: Clasificación actualizada de equipos de fútbol profesional en las ligas europeas.
DOI: 10.5281/zenodo.3748324
title: COVID-19_WORLD_2020

description: This dataset contains quantitative data on the evolution of the COVID-19 pandemic of early 2020. The data has been obtained from the web https://www.worldometers.info/coronavirus with web scraping techniques (published on https://github.com/dmar10862/uoc_tipologia_y_ciclo_de_vida_de_los_datos_practica_1.git). Each row in the dataset is identified by the country and date. The columns are as follows: total_cases: Total number of confirmed cases. new_cases: Number of new cases confirmed compared to the previous day. total_deaths: Total number of confirmed deaths. new_deaths: Number of new deaths confirmed compared to the previous day. total_recovered: Number of confirmed cases recovered. active_cases: Number of confirmed active cases. servious_critical: Number of confirmed serious or critical cases. total_cases_1M_pop: Total number of confirmed cases per million inhabitants. total_deaths_1M_pop: Total number of confirmed deaths per million inhabitants. total_tests: Number of tests performed. tests_1M_pop: Number of tests performed per million inhabitants.
description: {"references": ["https://www.worldometers.info/coronavirus/"]}
DOI: 10.5281/zenodo.3748270
title: Roundtrip: a deep generative neural density estimator

description: Datasets used in Roundtrip paper. Source code can be found at https://github.com/kimmo1019/Roundtrip UCI datasets: AReM/data.npy: Activity Recognition data collected from Multi sensors. Data size (42239, 6) CASP/data.npy: Protein Tertiary Structure data. Data size (45730, 9) BANK/data.npy: Financial data collected from clients. Data size (45211, 17) YPMSD/data.npy: Audio data of various songs. Data size (515345,90) HEPMASS/train.csv and HEPMASS/test.csv: Data of high-energy particles. ODDS contains three outlier detection datasets Shuttle, Mammography and ForestCover. mnist.tar.gz: MNIST datasets cifar10.tar.gz: CIFAR-10 datasets
DOI: 10.21227/9kpn-yy58
title: Dataset for Task scheduling in Cloud using CLoudsim

description: This is HCSP based dataset that is comprised of VMs and Cloudlets which could be used for task scheduling in cloud computing.
DOI: 10.14272/ybffhqqkfllcfz-uhfffaoysa-n.1
title: C81H80N16O4
title: InChI=1S/C81H80N16O4/c1-73(2)61-37-17-49(41-65(61)77(9,10)94(73)98)69-45-90(86-82-69)57-29-21-53(22-30-57)81(54-23-31-58(32-24-54)91-46-70(83-87-91)50-18-38-62-66(42-50)78(11,12)95(99)74(62,3)4,55-25-33-59(34-26-55)92-47-71(84-88-92)51-19-39-63-67(43-51)79(13,14)96(100)75(63,5)6)56-27-35-60(36-28-56)93-48-72(85-89-93)52-20-40-64-68(44-52)80(15,16)97(101)76(64,7)8/h17-48H,1-16H3

description: This dataset contains experimental data from a sample (InChI=1S/C81H80N16O4/c1-73(2)61-37-17-49(41-65(61)77(9,10)94(73)98)69-45-90(86-82-69)57-29-21-53(22-30-57)81(54-23-31-58(32-24-54)91-46-70(83-87-91)50-18-38-62-66(42-50)78(11,12)95(99)74(62,3)4,55-25-33-59(34-26-55)92-47-71(84-88-92)51-19-39-63-67(43-51)79(13,14)96(100)75(63,5)6)56-27-35-60(36-28-56)93-48-72(85-89-93)52-20-40-64-68(44-52)80(15,16)97(101)76(64,7)8/h17-48H,1-16H3). The datasets from the following experiments are available: mass spectrometry (MS) infrared absorption spectroscopy (IR)
DOI: 10.14272/ybffhqqkfllcfz-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/C81H80N16O4/c1-73(2)61-37-17-49(41-65(61)77(9,10)94(73)98)69-45-90(86-82-69)57-29-21-53(22-30-57)81(54-23-31-58(32-24-54)91-46-70(83-87-91)50-18-38-62-66(42-50)78(11,12)95(99)74(62,3)4,55-25-33-59(34-26-55)92-47-71(84-88-92)51-19-39-63-67(43-51)79(13,14)96(100)75(63,5)6)56-27-35-60(36-28-56)93-48-72(85-89-93)52-20-40-64-68(44-52)80(15,16)97(101)76(64,7)8/h17-48H,1-16H3

description: dataset for mass spectrometry (MS) FAB (3-NBA, m/z): 1344/1343/1342/1341/1340 [M+], 1327/1326 [M+ – CH3], 1311 [M+ – CH3 – O].
DOI: 10.14272/ybffhqqkfllcfz-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C81H80N16O4/c1-73(2)61-37-17-49(41-65(61)77(9,10)94(73)98)69-45-90(86-82-69)57-29-21-53(22-30-57)81(54-23-31-58(32-24-54)91-46-70(83-87-91)50-18-38-62-66(42-50)78(11,12)95(99)74(62,3)4,55-25-33-59(34-26-55)92-47-71(84-88-92)51-19-39-63-67(43-51)79(13,14)96(100)75(63,5)6)56-27-35-60(36-28-56)93-48-72(85-89-93)52-20-40-64-68(44-52)80(15,16)97(101)76(64,7)8/h17-48H,1-16H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 2973 (w), 2929 (w), 1700 (w), 1604 (w), 1511 (vs), 1483 (m), 1439 (m), 1404 (w), 1357 (m), 1315 (w), 1288 (w), 1230 (m), 1167 (w), 1123 (m), 1034 (vs), 993 (w), 980 (w), 902 (w), 824 (vs), 790 (m), 636 (w), 550 (vs), 501 (w) cm–1.
DOI: 10.15161/oar.it/23556
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H-NMR (400 MHz, DMSO-d6) δ [ppm] = 8.58 (d, 3JHH = 5.2 Hz, 1H, H5), 7.42–7.39 (m, 6H, H10, H11), 7.36–7.30 (m, 5H, H4, H9), 7.08–7.07 (m, 1H, H2), 1.13 (s, 9H, H7). Impurities: 1% phosphine oxide of the compound according to the 31P-NMR.
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000159
title: single crystal X-ray diffraction (single-crystal X-ray diffraction) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for single crystal X-ray diffraction (single-crystal X-ray diffraction) Crystal Data for C21H22NP (M =319.36 g/mol): monoclinic, space group P21/c (no. 14), a = 10.9170(6) Å, b = 14.2236(10) Å, c = 11.8139(6) Å, β = 103.375(4)°, V = 1784.69(19) Å3, Z = 4, T = 180.15 K, μ(MoKα) = 0.153 mm-1, Dcalc = 1.189 g/cm3, 15137 reflections measured (3.834° ≤ 2Θ ≤ 66.34°), 6095 unique (Rint = 0.0279, Rsigma = 0.0485) which were used in all calculations. The final R1 was 0.0456 (I &gt; 2σ(I)) and wR2 was 0.1272 (all data). Refinement model description Number of restraints - 0, number of constraints - unknown.
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for mass spectrometry (MS) MS (EI, 70 eV) m/z [%] = 320 (14) [M+H]+, 319/318 (68/62) [M]+, 211 (50), 196 (100). – HRMS (C21H22NP) calcd. 319.1490; found. 319.1491.
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C-NMR (101 MHz, DMSO-d6) δ [ppm] = 162.2 (d, 1JCP = 3.9 Hz, 1C, Cq1), 159.1 (d, 3JCP = 3.5 Hz, 1C, Cq3), 150.1 (d, 3JCP = 11.9 Hz, 1C, C5), 136.2 (d, 1JCP = 10.9 Hz, 2C, C8), 133.7 (d, 2JCP = 19.7 Hz, 4C, C9), 129.1 (s, 2C, C11), 128.6 (d, 3JCP = 7.1 Hz, 4C, C10), 124.6 (d, 2JCP = 21.0 Hz, 1C, C2), 119.7 (s, 1C, C4), 34.4 (s, 1C, Cq6), 29.9 (s, 3C, C7). Impurities: 1% phosphine oxide of the compound according to the 31P-NMR.
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for infrared absorption spectroscopy (IR) IR (ATR) 𝜈̃ [cm–1] = 3065 (vw), 3044 (vw), 2964 (w), 2930 (w), 2866 (w), 1578 (m), 1530 (w), 1477 (w), 1454 (w), 1434 (m), 1377 (m), 1309 (w), 1266 (w), 1152 (w), 1092 (w), 1068 (w), 1028 (w), 988 (w), 846 (m), 743 (m), 696 (s), 633 (w), 495 (m), 469 (m), 429 (w), 401 (w).
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000739
title: 31P nuclear magnetic resonance spectroscopy (31P NMR) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for 31P nuclear magnetic resonance spectroscopy (31P NMR) 31P-NMR (162 MHz, DMSO-d6) δ [ppm] = −4.61 (s, 1P). Impurities: 1% phosphine oxide of the compound.
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n.1
title: (4-tert-butylpyridin-2-yl)-diphenylphosphane
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: This dataset contains experimental data from a sample ((4-tert-butylpyridin-2-yl)-diphenylphosphane, InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 31P nuclear magnetic resonance spectroscopy (31P NMR) heteronuclear single quantum coherence (HSQC) heteronuclear multiple bond coherence (HMBC) infrared absorption spectroscopy (IR) mass spectrometry (MS) single crystal X-ray diffraction (single-crystal X-ray diffraction)
DOI: 10.14272/sqvjcqzwfokffx-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) ((4-tert-butylpyridin-2-yl)-diphenylphosphane)
title: InChI=1S/C21H22NP/c1-21(2,3)17-14-15-22-20(16-17)23(18-10-6-4-7-11-18)19-12-8-5-9-13-19/h4-16H,1-3H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.5281/zenodo.3748467
title: shiny-data-scientist/webscrap_pract_1: Air contamination web scraping

description: This data provides values of Air Quality Index (AQI) for the most populated city in each spanish autonomous community since 2019. The compounds selected to evaluate AQI are: PM<sub>10</sub>, O<sub>3 </sub>and NO<sub>2</sub>. This dataset is oriented to people that wants to evaluate quarantine effects on air pollution during COVID-19 disease outbreak. For this reason, a table with notified cases of the disease to the Public Administration at autonomous community scale is also supplied with the aim of providing a framework of disease evolution.
DOI: 10.5281/zenodo.3748474
title: Catálogo público de productos de PC Componentes

description: Este fichero contiene un ejemplo real del tipo de datos que se pueden encontrar al ejecutar el scraper. Si quiere conocer más a fondo el proceso mediante el que fueron recogidos, puede visitar la web del proyecto en https://github.com/VictorColome/UOC-Scrapper. Licencia: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
DOI: 10.5281/zenodo.3748475
title: Catálogo público de productos de PC Componentes

description: Este fichero contiene un ejemplo real del tipo de datos que se pueden encontrar al ejecutar el scraper. Si quiere conocer más a fondo el proceso mediante el que fueron recogidos, puede visitar la web del proyecto en https://github.com/VictorColome/UOC-Scrapper. Licencia: This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain View, CA 94042, USA.
DOI: 10.15468/aw7y6j
title: Physical evidence of predatory behavior in Tyrannosaurus rex

description: This dataset contains the digitized treatments in Plazi based on the original journal article Robert A. DePalma II, David A. Burnham, Larry D. Martin, Bruce M. Rothschild, Peter L. Larson (2013): Physical evidence of predatory behavior in Tyrannosaurus rex. Proceedings of the National Academy of Sciences 110, No. 31: 12560-12564, DOI: 10.1073/pnas.1216534110
DOI: 10.5281/zenodo.3747531
title: COCONUT: the COlleCtion of Open NatUral producTs.

description: COCONUT is a COlleCtion of Open NatUral producTs. To assemble COCONUT, data from 50 open access collections and databases of natural products was retrieved and curated. This archive contains two files: The MongoDB dump, the most complete version of the dataset, with extensive molecular annotations The COCONUT4MetFrag file, used for MetFrag. The last version of COCONUT4MetFrag is in the file "COCONUT4MetFrag_april.csv" To restore the dataset in MongoDB: <pre><code class="language-bash">unzip COCONUTapril.zip cd COCONUTapril /COCONUT/ mongorestore --db=COCONUT --noIndexRestore . </code></pre> It is generally useful to avoid restoring indexes, as they can interfere with the local installation. Here are the commands to rebuild indexes: <pre><code class="language-json">mongo use COCONUT db.sourceNaturalProduct.createIndex( {source:1}) db.sourceNaturalProduct.createIndex( {simpleInchi:"hashed"}) db.sourceNaturalProduct.createIndex( {simpleInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {absoluteSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {idInSource:1}) db.uniqueNaturalProduct.createIndex( {inchi:"hashed"}) db.uniqueNaturalProduct.createIndex( {inchikey:1}) db.uniqueNaturalProduct.createIndex( {clean_smiles: "hashed"}) db.uniqueNaturalProduct.createIndex( {molecular_formula:1}) db.uniqueNaturalProduct.createIndex( {name:1}) db.uniqueNaturalProduct.createIndex( {coconut_id:1}) db.uniqueNaturalProduct.createIndex( {fragmentsWithSugar:"hashed"}) db.uniqueNaturalProduct.createIndex( {fragments:"hashed"}) db.fragment.createIndex({signature:1}) db.fragment.createIndex({signature:1, withsugar:-1}) db.sourceNaturalProduct.createIndex( {source:1}) db.sourceNaturalProduct.createIndex( {simpleInchi:"hashed"}) db.sourceNaturalProduct.createIndex( {simpleInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalInchiKey:1}) db.sourceNaturalProduct.createIndex( {originalSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {absoluteSmiles:"hashed"}) db.sourceNaturalProduct.createIndex( {idInSource:1}) db.uniqueNaturalProduct.createIndex( {inchi:"hashed"}) db.uniqueNaturalProduct.createIndex( {inchikey:1}) db.uniqueNaturalProduct.createIndex( {clean_smiles: "hashed"}) db.uniqueNaturalProduct.createIndex( {molecular_formula:1}) db.uniqueNaturalProduct.createIndex( {name:1}) db.uniqueNaturalProduct.createIndex( {coconut_id:1}) db.uniqueNaturalProduct.createIndex( {fragmentsWithSugar:"hashed"}) db.uniqueNaturalProduct.createIndex( {fragments:"hashed"}) db.fragment.createIndex({signature:1}) db.fragment.createIndex({signature:1, withsugar:-1}) </code></pre> <br> <strong>This version of COCONUT is beta and will be curated further, but can already be used as it is.</strong>
description: {"references": ["https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00424-9"]}
DOI: 10.7910/dvn/cx1ofw/zmvbqa
title: Community-Members.tab

description: :unav
DOI: 10.15468/7frbrv
title: Craniocervical feeding dynamics of Tyrannosaurus rex

description: This dataset contains the digitized treatments in Plazi based on the original journal article Eric Snively, Anthony P. Russell (2007): Craniocervical feeding dynamics of Tyrannosaurus rex. Paleobiology 33, No. 4: 610-638, DOI: 10.1666/06059.1
DOI: 10.5281/zenodo.3747760
title: CADA Training Dataset, image and geometry data

description: Training data for the CADA challenge for tasks 1, 2 and 3. The rupture information for task 3 will be added as a separate dataset. See README.md for format info.
DOI: 10.21227/r66d-f210
title: CircleNet_DDH_Test_Results

description: Detection results of the CircleNet with all test dataset with 1826 images
DOI: 10.21227/xs1y-n954
title: CircleNet_DDH_Test_Results

description: Detection results of the CircleNet with all test dataset with 1826 images
DOI: 10.5281/zenodo.3748419
title: Phonon Calculations

description: This is the data belonging to the following publication:
DOI: 10.5281/zenodo.3727978
title: DIY Modifications for Transparent Headphones

description: Accompanying data for AES ebrief "DIY Modifications for Very Open Headphones". HRTF measurement of KEMAR dummy head without a headphone, the AKG K702 and a modified version thereof. Measured in MCC at Aalto Acoustics Lab. High resolution only in the horizontal plane.
DOI: 10.5281/zenodo.3746597
title: Wikidata RDF Dump of 2020-01-27

description: This dataset contains the Wikidata RDF full dump of 2020-01-27. The dataset consists in 12 tar files, each one containing at most 100 compressed n-triples files. To get the dataset download the files in a folder and extract all tar files there. The original dump was split to facilitate the parallelization of its processing.
DOI: 10.5281/zenodo.3746598
title: Wikidata RDF Dump of 2020-01-27

description: This dataset contains the Wikidata RDF full dump of 2020-01-27. The dataset consists in 12 tar files, each one containing at most 100 compressed n-triples files. To get the dataset download the files in a folder and extract all tar files there. The original dump was split to facilitate the parallelization of its processing.
DOI: 10.5255/ukda-sn-852871
title: Reducing avoidance of debt-related information: a simple questionnaire experiment 2014-2015
DOI: 10.14272/hrdikbkvmsiydt-uhfffaoysa-l.1
title: C53H38Cl6Cu2I2NP3
title: InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2

description: This dataset contains experimental data from a sample (InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) 31P nuclear magnetic resonance spectroscopy (31P NMR) infrared absorption spectroscopy (IR) mass spectrometry (MS) single crystal X-ray diffraction (single-crystal X-ray diffraction)
DOI: 10.14272/hrdikbkvmsiydt-uhfffaoysa-l/chmo0000159
title: single crystal X-ray diffraction (single-crystal X-ray diffraction) ()
title: InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for single crystal X-ray diffraction (single-crystal X-ray diffraction) Crystal Data for C53H38Cl6Cu2I2NP3 (M =1375.33 g/mol): monoclinic, space group P21 (no. 4), a = 10.61070(10) Å, b = 13.40820(10) Å, c = 18.7629(2) Å, β = 93.5340(10)°, V = 2664.33(4) Å3, Z = 2, T = 180.15 K, μ(GaKα) = 12.969 mm-1, Dcalc = 1.714 g/cm3, 29745 reflections measured (4.104° ≤ 2Θ ≤ 123.998°), 9041 unique (Rint = 0.0410, Rsigma = 0.0268) which were used in all calculations. The final R1 was 0.0748 (I &gt; 2σ(I)) and wR2 was 0.2042 (all data).
DOI: 10.14272/hrdikbkvmsiydt-uhfffaoysa-l/chmo0000470
title: mass spectrometry (MS) ()
title: InChI=1S/2C18H12Cl3P.C17H14NP.2Cu.2HI/c2*19-13-1-7-16(8-2-13)22(17-9-3-14(20)4-10-17)18-11-5-15(21)6-12-18;1-3-9-15(10-4-1)19(16-11-5-2-6-12-16)17-13-7-8-14-18-17;;;;/h2*1-12H;1-14H;;;2*1H/q;;;2*+1;;/p-2

description: dataset for mass spectrometry (MS) MS (FAB, 3-NBA) m/z [%] = 1433 (5) [M+Cu]+, 1371 (4) [M+H]+, 1243 (7) [M‑I]+, 1069 (16) [Cu3I2LP]+, 980 (13) [Cu2IP2]+, 968 (63) [Cu3I2L2]+,879 (43) [Cu2ILP]+, 806 (20) [Cu3I2P]+, 790 (29) [CuP2]+.