cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25318/3410016001-fra
title: Société canadienne d'hypothèques et de logement, logements mis en chantier, toutes les régions rurales, pour Canada et les provinces, désaisonnalisées au taux annuel, mensuel

description: Ce tableau contient 13 séries, avec des données pour les années 1990 - 2015 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons), et sa dernière date de diffusion remonte au 2016-01-11. Ce tableau contient des données telles que décrites par les dimensions suivantes (Les combinaisons ne sont pas toutes disponibles) : Géographie (13 éléments : Canada; Provinces de l'Atlantique; Terre-Neuve-et-Labrador; Île-du-Prince-Édouard; ...).
DOI: 10.25318/3410016101-eng
title: Canada Mortgage and Housing Corporation, housing starts, all rural areas, Canada and provinces, 6-month moving average

description: This table contains 13 series, with data for years 1990 - 2015 (not all combinations necessarily have data for all years), and was last released on 2015-12-08. This table contains data described by the following dimensions (Not all combinations are available): Geography (13 items: Canada; Prince Edward Island; Newfoundland and Labrador; Atlantic provinces ...).
DOI: 10.25318/3610061101-eng
title: Infrastructure Economic Accounts, average age and remaining useful service life ratio by asset and asset function

description: The average age of investment is the weighted age of all investments remaining in the gross stock at year end. The remaining useful life, which is the difference between the average age of the investment spending and their expected service life, is then divided by the expected service life, creating a ratio that indicates the percentage of the asset class that remains.
DOI: 10.25318/3610061101-fra
title: Compte économique d'infrastructure, âge moyen et durée de vie utile restante par actif et fonction de l'actif

description: L'âge moyen de l'investissement est obtenu sous forme d'âge pondéré de tous les investissements qui demeurent dans le stock brut à la fin de l'année. La durée de vie utile restante, obtenue en soustrayant l'âge moyen des dépenses d'investissement de leur durée de vie utile prévue, est ensuite divisée par la durée de vie utile prévue, créant ainsi un ratio qui indique le pourcentage de la catégorie d'actifs qui restent dans le stock.
DOI: 10.25318/3710010701-eng
title: Population, aged 15 to 29, non-students and students by type of institution attended, age and labour force status

description: Distribution of the population aged 15 to 29, non-students and students by type of institution attended, by age and labour force status, Canada. This table is included in Section E: Transitions and outcomes: Transitions to the labour market, of the Pan Canadian Education Indicators Program (PCEIP). PCEIP draws from a wide variety of data sources to provide information on the school-age population, elementary, secondary and postsecondary education, transitions, and labour market outcomes. The program presents indicators for all of Canada, the provinces, the territories, as well as selected international comparisons and comparisons over time. PCEIP is an ongoing initiative of the Canadian Education Statistics Council, a partnership between Statistics Canada and the Council of Ministers of Education, Canada that provides a set of statistical measures on education systems in Canada.
DOI: 10.25318/3710010701-fra
title: Population âgée de 15 à 29 ans, non-étudiants et étudiants, selon le type d'institution fréquentée, l’âge et la situation sur le marché du travail

description: Répartition de la population âgée de 15 à 29 ans, non-étudiants, et étudiants selon le type d'institution fréquentée, selon l’âge et statut sur le marché du travail, Canada. Ce tableau est présenté dans Section E : Transitions et résultats : Transitions au marché du Programme d’indicateurs pancanadiens de l’éducation (PIPCE). Le PIPCE tire de l’information d’un large éventail de sources de données pour fournir des renseignements sur la population d’âge scolaire, l’éducation primaire, secondaire et postsecondaire, les transitions et les résultats sur le marché du travail, fournissant des indicateurs pour l’ensemble du Canada, les provinces et les territoires, ainsi que certaines comparaisons internationales au fil du temps. Le PIPCE est une initiative en cours du Conseil des statistiques canadiennes de l’éducation, le fruit d’un partenariat entre le Conseil des ministres de l’Éducation (Canada) et Statistique Canada.
DOI: 10.25318/3710010801-eng
title: Number and salaries of full-time teaching staff at Canadian universities

description: Number and average, median, 10th and 90th percentile salaries by rank and senior administrative responsibilities of full-time academic teaching staff by university.
DOI: 10.25318/3710010801-fra
title: Nombre et salaires du personnel enseignant à plein temps dans les universités canadiennes

description: Nombre et moyenne, médiane, 10e centile et 90e centile salaires par rang et responsabilités administratives supérieures du personnel enseignant à plein temps par université.
DOI: 10.25318/3710011101-fra
title: Nombre de diplômés des écoles secondaires, selon le type d'école et le type de programme

description: Le nombre de diplômés des programmes réguliers pour les jeunes, les programmes généraux pour les adultes, et les programmes de formation professionnelle pour les jeunes et adultes des écoles secondaires publiques et privées/indépendantes, selon le type d'école et le type de programme, dernières cinq années scolaires.
DOI: 10.25505/fiz.icsd.cc232y9g
title: CSD 1939245: Experimental Crystal Structure Determination

description: Related Article: LEMOINE, Pierric, ROISNEL, Thierry, CORDIER, Stéphane|2019|ICSD Communication|||
DOI: 10.25592/dgs.corpus-type-65979
title: PAPST-$KANDIDAT-MUE49^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, mehrere Releases)
title: POPE-$CANDIDATE-MUE49^ (MY DGS – annotated. Public Corpus of German Sign Language, several releases)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Über diese versionsunabhängige DOI ist die jeweils neueste Version des Datensatzes auffindbar.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This version-dependent DOI allows you to find the latest version of the dataset.
DOI: 10.26208/w6c7-8x78
title: Simple Simulation Model for Exploring the Effects of Solvent and Structure on Asphaltene Aggregation

description: Asphaltenes are operationally defined as the fraction of crude oil that is soluble in toluene but insoluble in n-heptane. According to the Yen–Mullins model, typical asphaltenes are relatively small molecules consisting of a single aromatic core flanked by aliphatic chains. The Yen–Mullins model posits that asphaltene aggregation proceeds via a hierarchical mechanism involving small nanoaggregates with stacked aromatic cores surrounded by a corona of aliphatic tails. In this work, we introduce a coarse-grained (CG) model for investigating the physical picture underlying the Yen–Mullins model and, more generally, the effects of the solvent character and molecular structure upon asphaltene self-assembly. By representing proposed asphaltenes in united atom detail, this CG model accurately describes their shape and conformational properties. Conversely, the CG model mimics varying solvent conditions by modulating the effective attraction between aliphatic and aromatic groups. Given the simplicity of this model, we performed long, replicate simulations of 147 different asphaltene solutions. As proposed by the Yen–Mullins model, island-type molecules readily form stacked aggregates under conditions that promote aromatic interactions. Interestingly, the onset of nanoaggregation appears to be insensitive to the aliphatic tails, although these tails may sterically stunt further growth of nanoaggregates. Consequently, nanoaggregates form more readily and grow larger under conditions that promote both aliphatic and aromatic interactions. In contrast, archipelago-type molecules also form large aggregates, but they do not demonstrate significant stacking interactions. Thus, the CG model reasonably describes the physical intuition of the Yen–Mullins picture and may prove to be useful for exploring later stages of asphaltene aggregation.
DOI: 10.5517/ccdc.csd.cc20x469
title: CCDC 1874080: Experimental Crystal Structure Determination

description: Related Article: Rajesh Kumar, Himanshu Aggarwal, Rohit Bhowal, Deepak Chopra, Aasheesh Srivastava|2019|Chem.-Eur.J.|25|10756|doi:10.1002/chem.201902418
DOI: 10.5517/ccdc.csd.cc21bt8h
title: CCDC 1887226: Experimental Crystal Structure Determination

description: Related Article: Junmin Huang, Xinwei Hu, Fengjuan Chen, Jiao Gui, Wei Zeng|2019|Org.Biomol.Chem.|17|7042|doi:10.1039/C9OB01028A
DOI: 10.5517/ccdc.csd.cc21vlk2
title: CCDC 1902394: Experimental Crystal Structure Determination

description: Related Article: Emmanuel Lerayer, Patrice Renaut, Julien Roger, Nadine Pirio, Hélène Cattey, Paul Fleurat-Lessard, Maxime Boudjelel, Stéphane Massou, Ghenwa Bouhadir, Didier Bourissou, Jean-Cyrille Hierso|2019|Dalton Trans.|48|11191|doi:10.1039/C9DT01921A
DOI: 10.5517/ccdc.csd.cc21x819
title: CCDC 1903990: Experimental Crystal Structure Determination

description: Related Article:  Zhe Huang, Yongliang Zhang, Wen-Xiong Zhang, Zhenfeng Xi|2019|Organometallics|38|2807|doi:10.1021/acs.organomet.9b00295
DOI: 10.5517/ccdc.csd.cc225v7c
title: CCDC 1912242: Experimental Crystal Structure Determination

description: Related Article: Rosa Diego, Alexander Pavlov, Mohanad Darawsheh, Dmitry Aleshin, Joscha Nehrkorn, Yulia Nelyubina, Olivier Roubeau, Valentin Novikov, Guillem Aromí|2019|Inorg.Chem.|58|9562|doi:10.1021/acs.inorgchem.9b01334
DOI: 10.5517/ccdc.csd.cc225v8d
title: CCDC 1912243: Experimental Crystal Structure Determination

description: Related Article: Rosa Diego, Alexander Pavlov, Mohanad Darawsheh, Dmitry Aleshin, Joscha Nehrkorn, Yulia Nelyubina, Olivier Roubeau, Valentin Novikov, Guillem Aromí|2019|Inorg.Chem.|58|9562|doi:10.1021/acs.inorgchem.9b01334
DOI: 10.5517/ccdc.csd.cc225v9f
title: CCDC 1912244: Experimental Crystal Structure Determination

description: Related Article: Rosa Diego, Alexander Pavlov, Mohanad Darawsheh, Dmitry Aleshin, Joscha Nehrkorn, Yulia Nelyubina, Olivier Roubeau, Valentin Novikov, Guillem Aromí|2019|Inorg.Chem.|58|9562|doi:10.1021/acs.inorgchem.9b01334
DOI: 10.5517/ccdc.csd.cc232y16
title: CCDC 1939237: Experimental Crystal Structure Determination

description: Related Article: Mehri Ghasemi, Miaoqiang Lyu, Md Roknuzzaman, Jung-Ho Yun, Mengmeng Hao, Dongxu He, Yang Bai, Peng Chen, Paul V. Bernhardt, Kostya (Ken) Ostrikov, Lianzhou Wang|2019|J.Mater.Chem.A|7|20733|doi:10.1039/C9TA07454F
DOI: 10.13011/m3-tha1-0v51
title: Coarsening in 2D at 50% Volume Fraction with Dissimilar Mobilities
DOI: 10.13011/m3-w4pw-sy79
title: Coarsening in 3D at 50% Volume Fraction
DOI: 10.25318/3410015901-fra
title: Société canadienne d'hypothèques et de logement, logements mis en chantier, toutes les régions, pour Canada et les provinces, moyennes mobiles de 6 mois

description: Ce tableau contient 13 séries, avec des données pour les années 1990 - 2015 (il n'y a pas nécessairement de données pour toutes les années pour l'ensemble des combinaisons), et sa dernière date de diffusion remonte au 2016-01-11. Ce tableau contient des données telles que décrites par les dimensions suivantes (Les combinaisons ne sont pas toutes disponibles) : Géographie (13 éléments : Canada; Provinces de l'Atlantique; Terre-Neuve-et-Labrador; Île-du-Prince-Édouard; ...).
DOI: 10.26208/n8ba-8r57
title: TEC - Anthea Coster, MIT/Haystack Observatory. (2013)

description: Our raw global Global Positioning System (GPS) data were taken and archived at MH. The GPS-Total Electron Content (TEC) dataset contains the time of observation, the slant-path TEC (sTEC) in TECU (10^16 e-/m^2), and the longitude and latitude of the propagation path pierce point at 325 km in altitude. The GPS-TEC dataset effectively detects F region activity, since the peak electron density in the F region and ionosphere is also around 300 km. Using the ISR observing timeframe, all available global GPS sTEC data were processed for the same period. The GPS-TEC dataset was processed using an algorithm soon to be published by A. Coster et al [private communication, 2019]. The algorithm uses a high-pass filter with a 3-hour cutoff period, along with a de-biasing procedure. Both the original sTEC data and the processed delta-sTEC data have a 30 second time interval for each GPS satellite at each receiver.
DOI: 10.5517/ccdc.csd.cc1md618
title: CCDC 1501269: Experimental Crystal Structure Determination

description: Related Article: Somnath Khanra, Sabyasachi Ta, Milan Ghosh, Sudeshna Chatterjee, Debasis Das|2019|RSC Advances|9|21302|doi:10.1039/C9RA03652K
DOI: 10.5517/ccdc.csd.cc1n4pq6
title: CCDC 1523858: Experimental Crystal Structure Determination

description: Related Article: Lidan Lin|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc225v6b
title: CCDC 1912241: Experimental Crystal Structure Determination

description: Related Article: Rosa Diego, Alexander Pavlov, Mohanad Darawsheh, Dmitry Aleshin, Joscha Nehrkorn, Yulia Nelyubina, Olivier Roubeau, Valentin Novikov, Guillem Aromí|2019|Inorg.Chem.|58|9562|doi:10.1021/acs.inorgchem.9b01334
DOI: 10.5517/ccdc.csd.cc228ymy
title: CCDC 1915230: Experimental Crystal Structure Determination

description: Related Article: Chao Li, Lin-Sui Li, Wen-Juan Wei, Yu-Hui Tan|2019|Inorg.Chem.|58|9733|doi:10.1021/acs.inorgchem.9b00678
DOI: 10.5517/ccdc.csd.cc228zmz
title: CCDC 1915261: Experimental Crystal Structure Determination

description: Related Article: Wei Yuan, Ying Zeng, Ya-Yin Tan, Jian-Hua Zhou, Wei-Jian Xu, Wei-Xiong Zhang, Xiao-Ming Chen|2019|Chem.Commun.|55|8983|doi:10.1039/C9CC03862K
DOI: 10.5517/ccdc.csd.cc229mst
title: CCDC 1915886: Experimental Crystal Structure Determination

description: Related Article: Kensuke Suzuki, Yoshihiro Nishimoto, Makoto Yasuda|2019|Org.Lett.|21|6589|doi:10.1021/acs.orglett.9b01744
DOI: 10.5517/ccdc.csd.cc232y5b
title: CCDC 1939241: Experimental Crystal Structure Determination

description: Related Article: Yong-Long Zhao, Yong-Qin Tang, Xing-Hai Fei, Fen-Fen Yang, Zhuo-Xian Cao, Dong-Zhu Duan, Qing-Jie Zhao, Yuan-Yong Yang, Meng Zhou, Bin He|2020|Green Chemistry|22|2354|doi:10.1039/C9GC04446A
description: Related Article: YongLong Zhao|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2340y7
title: CCDC 1940288: Experimental Crystal Structure Determination

description: Related Article: Brian W. Skelton, Massimiliano Massi|2019|CSD Communication|||
DOI: 10.13011/m3-f11w-b549
title: Coarsening in 2D at 50% Volume Fraction
DOI: 10.25318/2710002901-eng
title: Federal personnel engaged in science and technological activities, by major departments and agencies - Intentions

description: Federal personnel engaged in science and technological activities, by science and technology components and major departments and agencies for Canada from 2000 to today.
DOI: 10.25318/2710003001-eng
title: Enterprises holding or using patents, by revenue size group

description: Survey of intellectual property management, enterprises in selected industries holding or using issued patents, by category of patent acquisition and revenue size group in December 2010.
DOI: 10.25318/2710003001-fra
title: Entreprises détenant ou utilisant des brevets, selon la tranche de revenu

description: Enquête sur la gestion de la propriété intellectuelle, entreprises dans les groupes d'industries sélectionnées détenant ou utilisant des brevets délivrés, selon la catégorie d’acquisition de brevet et la tranche de revenu, décembre 2010.
DOI: 10.25592/dgs.corpus-type-65982
title: ABMACHEN-$KANDIDAT-MUE37^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, mehrere Releases)
title: TO-ARRANGE-$CANDIDATE-MUE37^ (MY DGS – annotated. Public Corpus of German Sign Language, several releases)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Über diese versionsunabhängige DOI ist die jeweils neueste Version des Datensatzes auffindbar.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This version-dependent DOI allows you to find the latest version of the dataset.
DOI: 10.26208/gvq9-ss24
title: 	ISR - Phil Erickson, MIT/Haystack Observatory. (2013)

description: The period of Incoherent Scatter Radar (ISR) observation extended between 12:42 UT May 6th and 19:47 UT May 8th, 2013. The Millstone Hill (MH) ISR system contains two radar dishes with one (the Zenith beam) having fixed pointing at an 88° beam elevation, and the other pointed parallel-B (MISA: the MH Steerable Antenna), with an azimuth angle of 165.8° and an elevation angle of 66.26°, at an altitude of 250 kilometers based on the IGRF epoch 2013.34 model. The two beams are separated by 132 km at 300 km altitude. A single transmitter switches between the two antennas with a 6 minute 32 second cadence. Both dishes have an integration time of 3 minutes within that interval. The data have a range of ~100 km to ~980 km from MH. Processing done by the Haystack Observatory consisted of pulse decoding and clutter subtraction.
DOI: 10.5517/ccdc.csd.cc14nwl8
title: CCDC 1062760: Experimental Crystal Structure Determination

description: Related Article: Somnath Khanra, Sabyasachi Ta, Milan Ghosh, Sudeshna Chatterjee, Debasis Das|2019|RSC Advances|9|21302|doi:10.1039/C9RA03652K
DOI: 10.5517/ccdc.csd.cc1m858b
title: CCDC 1497401: Experimental Crystal Structure Determination

description: Related Article: Jinfang Zhang, Yuhang Liu, Jiaoyang Feng, Linpei Gong, Mark G. Humphrey, Chi Zhang|2019|Inorg.Chem.|58|9749|doi:10.1021/acs.inorgchem.9b00745
DOI: 10.5517/ccdc.csd.cc1zrpp3
title: CCDC 1840026: Experimental Crystal Structure Determination

description: Related Article: Jing Xiang, Qian-Qian Su, Li-Juan Luo, Tai-Chu Lau|2019|Dalton Trans.|48|11404|doi:10.1039/C9DT01711A
DOI: 10.5517/ccdc.csd.cc1zrpq4
title: CCDC 1840027: Experimental Crystal Structure Determination

description: Related Article: Jing Xiang, Qian-Qian Su, Li-Juan Luo, Tai-Chu Lau|2019|Dalton Trans.|48|11404|doi:10.1039/C9DT01711A
DOI: 10.5517/ccdc.csd.cc216xy4
title: CCDC 1883496: Experimental Crystal Structure Determination

description: Related Article: Philipp Müller, Benjamin Bucior, Giulia Tuci, Lapo Luconi, Jürgen Getzschmann, Stefan Kaskel, Randall Q. Snurr, Giuliano Giambastiani, Andrea Rossin|2019|MSDE|4|1000|doi:10.1039/C9ME00062C
DOI: 10.5517/ccdc.csd.cc21jn19
title: CCDC 1892830: Experimental Crystal Structure Determination

description: Related Article: Yasushi Yoshida, Kazuki Omori, Tomohiko Hiroshige, Takashi Mino, Masami Sakamoto|2019|Chem.Asian J.|14|2737|doi:10.1002/asia.201900764
DOI: 10.5517/ccdc.csd.cc229l22
title: CCDC 1915833: Experimental Crystal Structure Determination

description: Related Article: Stefano Brenna, G. Attilio Ardizzoia, Valentina Colombo, Angelo Sironi|2019|CrystEngComm|21|4586|doi:10.1039/C9CE00761J
DOI: 10.5517/ccdc.csd.cc229z8n
title: CCDC 1916211: Experimental Crystal Structure Determination

description: Related Article: Hai-Ying Luo, Jian Zhou, Shumei Cao|2019|Dalton Trans.|48|10907|doi:10.1039/C9DT02077B
DOI: 10.5517/ccdc.csd.cc229z9p
title: CCDC 1916212: Experimental Crystal Structure Determination

description: Related Article: Hai-Ying Luo, Jian Zhou, Shumei Cao|2019|Dalton Trans.|48|10907|doi:10.1039/C9DT02077B
DOI: 10.5517/ccdc.csd.cc22c0r7
title: CCDC 1917218: Experimental Crystal Structure Determination

description: Related Article: Niklas Aders, Lukas Keweloh, Damian Pleschka, Alexander Hepp, Marcus Layh, Friedhelm Rogel, Werner Uhl|2019|Organometallics|38|2839|doi:10.1021/acs.organomet.9b00346
DOI: 10.5517/ccdc.csd.cc22c0s8
title: CCDC 1917219: Experimental Crystal Structure Determination

description: Related Article: Niklas Aders, Lukas Keweloh, Damian Pleschka, Alexander Hepp, Marcus Layh, Friedhelm Rogel, Werner Uhl|2019|Organometallics|38|2839|doi:10.1021/acs.organomet.9b00346
DOI: 10.25318/2710002801-eng
title: Federal personnel engaged in science and technological activities, by occupational category and major departments and agencies - Intentions

description: Federal personnel engaged in science and technological activities, by occupational category and major departments and agencies for Canada from 2000 to today.