cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4264350
title: Data of "Short communication: Applicability of feeding behaviour traits as high-throughput phenotyping methods for identifying protein-efficient pigs"

description: This study explores the potential of using automatically recorded feeding behaviour as a proxy trait for protein efficiency by investigating the relationship between feeding behaviour and protein efficiency in Swiss Large White pigs. behaviour.txt: A tab-delimited txt file of data used to investigate the relationship between feeding behaviour traits and protein efficiency in Swiss Large White pigs. Feeding behaviour traits taken were ‘daily feed intake’, ‘feeding rate’, ‘number of daily visits’, ‘duration at visits’, ‘feeding occupation’, and ‘feed intake per visit’. data_description_for_feeding_behaviour.xlsx: meta data for behaviour.txt with descriptions of variables
DOI: 10.5281/zenodo.4264668
title: The linear dispersion relation of the electrostatic waves in magnetized anisotropic dysty plasma

description: The linear and weakly nonlinear dust-ion-acoustic wave propagation obliquely with respect to an external magnetic field is studied in magnetized dusty plasma, which consists of magnetized fluid ions bearing with anisotropic pressure, suprathermal electrons, and static dust grains. In the linear regime, the magnetized dusty plasma supports the propagation of fast dust-ion-cyclotron (EDIC) mode and the slow electrostatic dust-ion-acoustic (DIA) mode.
DOI: 10.5281/zenodo.4264667
title: The linear dispersion relation of the electrostatic waves in magnetized anisotropic dysty plasma

description: The linear and weakly nonlinear dust-ion-acoustic wave propagation obliquely with respect to an external magnetic field is studied in magnetized dusty plasma, which consists of magnetized fluid ions bearing with anisotropic pressure, suprathermal electrons, and static dust grains. In the linear regime, the magnetized dusty plasma supports the propagation of fast dust-ion-cyclotron (EDIC) mode and the slow electrostatic dust-ion-acoustic (DIA) mode.
DOI: 10.5281/zenodo.4266226
title: Evidence map of studies on modern energy cooking systems and related initiatives

description: The dataset for an interactive thalloo map showing the studies on modern energy cooking systems and related initiatives.
DOI: 10.5281/zenodo.4266225
title: Evidence map of studies on modern energy cooking systems and related initiatives

description: The dataset for an interactive thalloo map showing the studies on modern energy cooking systems and related initiatives.
DOI: 10.6084/m9.figshare.13102586
title: Data supporting Johnstone, Cant, Cram & Thompson (2020) Exploitative leaders incite intergroup warfare in a social mammal

description: This data supports the following publication:<br>Rufus A. Johnstone, Michael A. Cant, Dominic L. Cram & Faye J. Thompson (2020) Exploitative leaders incite intergroup warfare in a social mammal. <i>Proceedings of the National Academy of Sciences.</i><i><br></i>Please read the "Read Me.txt" file for a full description of the data contained in each data set
DOI: 10.6084/m9.figshare.12489113.v1
title: Data on the the macroeconomic effects of COVID-19 in Montenegro, using a Bayesian VAR approach

description: This fileset contains two data files:These are: <b>22927448_new macro-model.wf1</b> in .wf1 file format, and the openly accessible versioin of the dataset, <b>Time series and scenarios.xlsx </b>in .xlsx file format.<br>The dataset Time series and scenarios.xlsx contains observations on what happens to GDP, capital stock, human capital, and employment, in three economic scenarios – shocks – of how the pandemic disease might impact the economy of Montenegro in the dawn of entering the European Union. The authors forecast a sustainable GDP growth model from January 2006 until December 2017. Deterministic-static simulation solution model – the baseline – was employed, adding sensitivity scenarios – shocks – from January 2018 until Jun 2018, respectively, from -10% until -60%.<br> The following time series data are included: GDP_GAP (The GDP GAP is defined as the difference between potential GDP and real GDP), EMP_SA (denotes seasonally adjusted employment time series), CAPITAL_STOCK_SA (denotes seasonally adjusted capital stock time series), LOGHUMCAP_SA (denotes the natural logarithm of human capital seasonally adjusted time series).<br>In each spreadsheet, S1, S2 and S3 represent the three different scenarios.Scenario 1 represents the employment decrease, scenario 2 represents the capital decrease, and scenario 3 represents the human capital decrease.<br><b>Study aims and methodology</b>: A limited number of studies have examined the potential consequences of a pandemic such as COVID-19, on the economy of Montenegro. The objective of this paper is to fill this space by examining the macroeconomic effects of COVID-19, employing monthly data from January 2006 until 2017, and out-of-sample data from January 2018 until December 2018, predicting the movement of macro-model variables.In this study, the authors measured the COVID-19 impact for the first time in the Montenegrin economy using a Bayesian vector autoregressive (VAR) and forecasting sensitivity deterministic-static scenario model. They applied alternative forecasting scenarios to all the macroeconomic variables. For more details on the methodology, please read the related article.<br><b>Software needed to access data</b>: The WF1 file type is primarily associated with EViews Workfile. (Econometric software). A suitable software like EViews Workfile, is needed to open a WF1 file.<br>
DOI: 10.6084/m9.figshare.12489113
title: Data on the the macroeconomic effects of COVID-19 in Montenegro, using a Bayesian VAR approach

description: This fileset contains two data files:These are: <b>22927448_new macro-model.wf1</b> in .wf1 file format, and the openly accessible versioin of the dataset, <b>Time series and scenarios.xlsx </b>in .xlsx file format.<br>The dataset Time series and scenarios.xlsx contains observations on what happens to GDP, capital stock, human capital, and employment, in three economic scenarios – shocks – of how the pandemic disease might impact the economy of Montenegro in the dawn of entering the European Union. The authors forecast a sustainable GDP growth model from January 2006 until December 2017. Deterministic-static simulation solution model – the baseline – was employed, adding sensitivity scenarios – shocks – from January 2018 until Jun 2018, respectively, from -10% until -60%.<br> The following time series data are included: GDP_GAP (The GDP GAP is defined as the difference between potential GDP and real GDP), EMP_SA (denotes seasonally adjusted employment time series), CAPITAL_STOCK_SA (denotes seasonally adjusted capital stock time series), LOGHUMCAP_SA (denotes the natural logarithm of human capital seasonally adjusted time series).<br>In each spreadsheet, S1, S2 and S3 represent the three different scenarios.Scenario 1 represents the employment decrease, scenario 2 represents the capital decrease, and scenario 3 represents the human capital decrease.<br><b>Study aims and methodology</b>: A limited number of studies have examined the potential consequences of a pandemic such as COVID-19, on the economy of Montenegro. The objective of this paper is to fill this space by examining the macroeconomic effects of COVID-19, employing monthly data from January 2006 until 2017, and out-of-sample data from January 2018 until December 2018, predicting the movement of macro-model variables.In this study, the authors measured the COVID-19 impact for the first time in the Montenegrin economy using a Bayesian vector autoregressive (VAR) and forecasting sensitivity deterministic-static scenario model. They applied alternative forecasting scenarios to all the macroeconomic variables. For more details on the methodology, please read the related article.<br><b>Software needed to access data</b>: The WF1 file type is primarily associated with EViews Workfile. (Econometric software). A suitable software like EViews Workfile, is needed to open a WF1 file.<br>
DOI: 10.15468/6kd9bh
title: List of amphibian species (Vertebrata, Tetrapoda) of Burkina Faso

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ayoro, Halamoussa Joëlle, Segniagbeto, Gabriel Hoinsoudé, Hema, Emmanuel Midibahaye, Penner, Johannes, Oueda, Adama, Dubois, Alain, Rödel, Mark-Oliver, Kabré, Gustave Boureima, Ohler, Annemarie (2020): List of amphibian species (Vertebrata, Tetrapoda) of Burkina Faso. Zoosystema 42 (28): 547-582, DOI: 10.5252/zoosystema2020v42a28
DOI: 10.5281/zenodo.4266238
title: The Baby Steps web-based program for wellbeing of new parents - main data file

description: Main data set from Baby Steps RCT
DOI: 10.5281/zenodo.4266237
title: The Baby Steps web-based program for wellbeing of new parents - main data file

description: Main data set from Baby Steps RCT
DOI: 10.6084/m9.figshare.13176569.v1
title: Multiple alignments of CDS clusters

description: Multiple sequence alignments of viral CDS clusters
DOI: 10.5281/zenodo.4103823
title: Database of 1126 cases with ethmoid or sphenoid intestinal-type adenocarcinoma

description: Database of 1126 cases with ethmoid or sphenoid intestinal-type adenocarcinoma
DOI: 10.5281/zenodo.4103822
title: Database of 1126 cases with ethmoid or sphenoid intestinal-type adenocarcinoma

description: Database of 1126 cases with ethmoid or sphenoid intestinal-type adenocarcinoma
DOI: 10.5519/qd.vktw0qe0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (6743 records)
DOI: 10.6084/m9.figshare.13176569.v2
title: Multiple alignments of CDS clusters

description: Multiple sequence alignments of viral CDS clusters
DOI: 10.5281/zenodo.4088240
title: Data/code for Interpretable, calibrated neural networks for analysis and understanding of neutron spectra

description: Simulated neutron spectra from inelastic neutron scattering on the double perovskite PCSMO. The dataset is related to the publication <em>Interpretable, calibrated neural networks for analysis and understanding of neutron spectra</em>. The paper is yet to be submitted, but the references will be added in due course. # Pre-trained model weights `model-weights.tgz` This file contains the weights for the models reported in the paper which can be downloaded and used to re-produce the results. Please download the `model-weights.tgz` file and extract it to the root of the repository `interpretable-ml-neutron-spectroscopy` from github. # Data Generation `data_generation.tar.gz` Large data files for github repository associated with the publication _Interpretable, calibrated neural networks for analysis and understanding of neutron spectra_ These files relate to generation of the data in the paper. Please download the `data_generation.tar.gz` file and extract it to the root of the repository `interpretable-ml-neutron-spectroscopy` from github. #Training data `pcsmo-simulated-spectra.tgz` Contains the data used to train the networks. Extract this file to a data directory and then point the `train.py` files for the various models to look for this `&lt;datadir&gt;` in the specified location in those files.
DOI: 10.5517/ccdc.csd.cc21w212
title: CCDC 1902843: Experimental Crystal Structure Determination

description: Related Article: Sayaka Oka, Yuma Shigehiro, Yasutaka Kataoka, Yasuyuki Ura|2020|Chem.Commun.|56|12977|doi:10.1039/D0CC05572G
DOI: 10.5517/ccdc.csd.cc24fv4l
title: CCDC 1979509: Experimental Crystal Structure Determination

description: Related Article: Shao-Jie Lou, Liang Zhang, Yong Luo, Masayoshi Nishiura, Gen Luo, Yi Luo, Zhaomin Hou|2020|J.Am.Chem.Soc.|142|18128|doi:10.1021/jacs.0c08362
DOI: 10.5517/ccdc.csd.cc24fv5m
title: CCDC 1979510: Experimental Crystal Structure Determination

description: Related Article: Shao-Jie Lou, Liang Zhang, Yong Luo, Masayoshi Nishiura, Gen Luo, Yi Luo, Zhaomin Hou|2020|J.Am.Chem.Soc.|142|18128|doi:10.1021/jacs.0c08362
DOI: 10.5517/ccdc.csd.cc24lfdl
title: CCDC 1983919: Experimental Crystal Structure Determination

description: Related Article: Ya-Ming Tian, Xiao-Ning Guo, Ivo Krummenacher, Zhu Wu, Jörn Nitsch, Holger Braunschweig, Udo Radius, Todd B. Marder|2020|J.Am.Chem.Soc.|142|18231|doi:10.1021/jacs.0c08834
DOI: 10.5517/ccdc.csd.cc24qtrg
title: CCDC 1988146: Experimental Crystal Structure Determination

description: Related Article: Sheng-Yi Yang, Ya-Kun Wang, Chen-Chen Peng, Zheng-Guang Wu, Shuai Yuan, You-Jun Yu, Hao Li, Tong-Tong Wang, Hong-Cheng Li, You-Xuan Zheng, Zuo-Quan Jiang, Liang-Sheng Liao|2020|J.Am.Chem.Soc.|142|17756|doi:10.1021/jacs.0c08980
DOI: 10.5517/ccdc.csd.cc24qvk9
title: CCDC 1988171: Experimental Crystal Structure Determination

description: Related Article: Sheng-Yi Yang, Ya-Kun Wang, Chen-Chen Peng, Zheng-Guang Wu, Shuai Yuan, You-Jun Yu, Hao Li, Tong-Tong Wang, Hong-Cheng Li, You-Xuan Zheng, Zuo-Quan Jiang, Liang-Sheng Liao|2020|J.Am.Chem.Soc.|142|17756|doi:10.1021/jacs.0c08980
DOI: 10.5517/ccdc.csd.cc253lnk
title: CCDC 1999458: Experimental Crystal Structure Determination

description: Related Article: Hayato Fujimoto, Takuya Kodama, Masahiro Yamanaka, Mamoru Tobisu|2020|J.Am.Chem.Soc.|142|17323|doi:10.1021/jacs.0c08928
DOI: 10.5517/ccdc.csd.cc2587f4
title: CCDC 2003915: Experimental Crystal Structure Determination

description: Related Article: Mari Kimura, Masaki Yoshida, Sho Fujii, Atsushi Miura, Kosei Ueno, Yasuhiro Shigeta, Atsushi Kobayashi, Masako Kato|2020|Chem.Commun.|56|12989|doi:10.1039/D0CC04164E
DOI: 10.5517/ccdc.csd.cc2587g5
title: CCDC 2003916: Experimental Crystal Structure Determination

description: Related Article: Mari Kimura, Masaki Yoshida, Sho Fujii, Atsushi Miura, Kosei Ueno, Yasuhiro Shigeta, Atsushi Kobayashi, Masako Kato|2020|Chem.Commun.|56|12989|doi:10.1039/D0CC04164E
DOI: 10.5517/ccdc.csd.cc2587h6
title: CCDC 2003917: Experimental Crystal Structure Determination

description: Related Article: Mari Kimura, Masaki Yoshida, Sho Fujii, Atsushi Miura, Kosei Ueno, Yasuhiro Shigeta, Atsushi Kobayashi, Masako Kato|2020|Chem.Commun.|56|12989|doi:10.1039/D0CC04164E
DOI: 10.5517/ccdc.csd.cc258y6m
title: CCDC 2004590: Experimental Crystal Structure Determination

description: Related Article: Makabodee Ruaysap, Stuart R. Kennedy, Collin M. Mayhan, Steven P. Kelley, Harshita Kumari, Carol A. Deakyne, Jerry L. Atwood|2020|Chem.Commun.|56|12985|doi:10.1039/D0CC03639K
DOI: 10.5517/ccdc.csd.cc258y7n
title: CCDC 2004591: Experimental Crystal Structure Determination

description: Related Article: Makabodee Ruaysap, Stuart R. Kennedy, Collin M. Mayhan, Steven P. Kelley, Harshita Kumari, Carol A. Deakyne, Jerry L. Atwood|2020|Chem.Commun.|56|12985|doi:10.1039/D0CC03639K
DOI: 10.5517/ccdc.csd.cc25c4vk
title: CCDC 2006718: Experimental Crystal Structure Determination

description: Related Article: Zhi-Xu Zhang, Han-Yue Zhang, Wei Zhang, Xiao-Gang Chen, Hui Wang, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|17787|doi:10.1021/jacs.0c09288
DOI: 10.5517/ccdc.csd.cc25c4wl
title: CCDC 2006719: Experimental Crystal Structure Determination

description: Related Article: Zhi-Xu Zhang, Han-Yue Zhang, Wei Zhang, Xiao-Gang Chen, Hui Wang, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|17787|doi:10.1021/jacs.0c09288
DOI: 10.5517/ccdc.csd.cc25c4xm
title: CCDC 2006720: Experimental Crystal Structure Determination

description: Related Article: Zhi-Xu Zhang, Han-Yue Zhang, Wei Zhang, Xiao-Gang Chen, Hui Wang, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|17787|doi:10.1021/jacs.0c09288
DOI: 10.5517/ccdc.csd.cc25c75z
title: CCDC 2006790: Experimental Crystal Structure Determination

description: Related Article: Qiang Cheng, Junting Chen, Songyun Lin, Tobias Ritter|2020|J.Am.Chem.Soc.|142|17287|doi:10.1021/jacs.0c08248
DOI: 10.5517/ccdc.csd.cc25flv2
title: CCDC 2009074: Experimental Crystal Structure Determination

description: Related Article: Itsuki Nohira, Song Liu, Ruopeng Bai, Yu Lan, Naoto Chatani|2020|J.Am.Chem.Soc.|142|17306|doi:10.1021/jacs.0c08512
DOI: 10.5517/ccdc.csd.cc25fm5f
title: CCDC 2009084: Experimental Crystal Structure Determination

description: Related Article: Hayato Fujimoto, Takuya Kodama, Masahiro Yamanaka, Mamoru Tobisu|2020|J.Am.Chem.Soc.|142|17323|doi:10.1021/jacs.0c08928
DOI: 10.5517/ccdc.csd.cc25g9pn
title: CCDC 2009751: Experimental Crystal Structure Determination

description: Related Article: Kenta Sasaki, Hitomi Yamate, Haruka Yoshino, Hiroki Miura, Yuushi Shimoda, Kiyoshi Miyata, Ken Onda, Ryo Ohtani, Masaaki Ohba|2020|Chem.Commun.|56|12961|doi:10.1039/D0CC05462C
DOI: 10.5517/ccdc.csd.cc25g9qp
title: CCDC 2009752: Experimental Crystal Structure Determination

description: Related Article: Kenta Sasaki, Hitomi Yamate, Haruka Yoshino, Hiroki Miura, Yuushi Shimoda, Kiyoshi Miyata, Ken Onda, Ryo Ohtani, Masaaki Ohba|2020|Chem.Commun.|56|12961|doi:10.1039/D0CC05462C
DOI: 10.5517/ccdc.csd.cc25kz6y
title: CCDC 2013270: Experimental Crystal Structure Determination

description: Related Article: Matthew L. Schneider, Oliver M. Linder-Patton, Witold M. Bloch|2020|Chem.Commun.|56|12969|doi:10.1039/D0CC05349J
DOI: 10.5517/ccdc.csd.cc25kz7z
title: CCDC 2013271: Experimental Crystal Structure Determination

description: Related Article: Matthew L. Schneider, Oliver M. Linder-Patton, Witold M. Bloch|2020|Chem.Commun.|56|12969|doi:10.1039/D0CC05349J
DOI: 10.5517/ccdc.csd.cc25l712
title: CCDC 2013513: Experimental Crystal Structure Determination

description: Related Article: Li Chen, Rong Huang, Kun Li, Xing-Han Yun, Chang-Long Yang, Sheng-Jiao Yan|2020|Green Chemistry|22|6943|doi:10.1039/D0GC02460K
DOI: 10.5517/ccdc.csd.cc25p6ps
title: CCDC 2016385: Experimental Crystal Structure Determination

description: Related Article: Mingi Kim, Chan Hee Ryu, Ju Hyun Hong, Ji Hye Lee, Hyonseok Hwang, Kang Mun Lee|2020|Inorg.Chem.Front.|7|4180|doi:10.1039/D0QI00915F
DOI: 10.5517/ccdc.csd.cc25p6qt
title: CCDC 2016386: Experimental Crystal Structure Determination

description: Related Article: Mingi Kim, Chan Hee Ryu, Ju Hyun Hong, Ji Hye Lee, Hyonseok Hwang, Kang Mun Lee|2020|Inorg.Chem.Front.|7|4180|doi:10.1039/D0QI00915F
DOI: 10.5517/ccdc.csd.cc25p9y4
title: CCDC 2016486: Experimental Crystal Structure Determination

description: Related Article: Sheng-Yi Yang, Ya-Kun Wang, Chen-Chen Peng, Zheng-Guang Wu, Shuai Yuan, You-Jun Yu, Hao Li, Tong-Tong Wang, Hong-Cheng Li, You-Xuan Zheng, Zuo-Quan Jiang, Liang-Sheng Liao|2020|J.Am.Chem.Soc.|142|17756|doi:10.1021/jacs.0c08980
DOI: 10.5517/ccdc.csd.cc25p9z5
title: CCDC 2016487: Experimental Crystal Structure Determination

description: Related Article: Sheng-Yi Yang, Ya-Kun Wang, Chen-Chen Peng, Zheng-Guang Wu, Shuai Yuan, You-Jun Yu, Hao Li, Tong-Tong Wang, Hong-Cheng Li, You-Xuan Zheng, Zuo-Quan Jiang, Liang-Sheng Liao|2020|J.Am.Chem.Soc.|142|17756|doi:10.1021/jacs.0c08980
DOI: 10.5517/ccdc.csd.cc25pd09
title: CCDC 2016550: Experimental Crystal Structure Determination

description: Related Article: Sheng-Yi Yang, Ya-Kun Wang, Chen-Chen Peng, Zheng-Guang Wu, Shuai Yuan, You-Jun Yu, Hao Li, Tong-Tong Wang, Hong-Cheng Li, You-Xuan Zheng, Zuo-Quan Jiang, Liang-Sheng Liao|2020|J.Am.Chem.Soc.|142|17756|doi:10.1021/jacs.0c08980
DOI: 10.5517/ccdc.csd.cc25qqwj
title: CCDC 2017848: Experimental Crystal Structure Determination

description: Related Article: Yan Bing Tan, Yoshinori Okayasu, Shohei Katao, Yoshiko Nishikawa, Fumio Asanoma, Mihoko Yamada, Junpei Yuasa, Tsuyoshi Kawai|2020|J.Am.Chem.Soc.|142|17653|doi:10.1021/jacs.0c08229
DOI: 10.5517/ccdc.csd.cc25qqzm
title: CCDC 2017851: Experimental Crystal Structure Determination

description: Related Article: Yan Bing Tan, Yoshinori Okayasu, Shohei Katao, Yoshiko Nishikawa, Fumio Asanoma, Mihoko Yamada, Junpei Yuasa, Tsuyoshi Kawai|2020|J.Am.Chem.Soc.|142|17653|doi:10.1021/jacs.0c08229
DOI: 10.5517/ccdc.csd.cc25qr0p
title: CCDC 2017852: Experimental Crystal Structure Determination

description: Related Article: Yan Bing Tan, Yoshinori Okayasu, Shohei Katao, Yoshiko Nishikawa, Fumio Asanoma, Mihoko Yamada, Junpei Yuasa, Tsuyoshi Kawai|2020|J.Am.Chem.Soc.|142|17653|doi:10.1021/jacs.0c08229
DOI: 10.5517/ccdc.csd.cc25qr1q
title: CCDC 2017853: Experimental Crystal Structure Determination

description: Related Article: Yan Bing Tan, Yoshinori Okayasu, Shohei Katao, Yoshiko Nishikawa, Fumio Asanoma, Mihoko Yamada, Junpei Yuasa, Tsuyoshi Kawai|2020|J.Am.Chem.Soc.|142|17653|doi:10.1021/jacs.0c08229
DOI: 10.5517/ccdc.csd.cc25r133
title: CCDC 2018134: Experimental Crystal Structure Determination

description: Related Article: Yu Chen, Yangjian Quan, Zuowei Xie|2020|Chem.Commun.|56|12997|doi:10.1039/D0CC05207H
DOI: 10.5517/ccdc.csd.cc25r144
title: CCDC 2018135: Experimental Crystal Structure Determination

description: Related Article: Yu Chen, Yangjian Quan, Zuowei Xie|2020|Chem.Commun.|56|12997|doi:10.1039/D0CC05207H
DOI: 10.5517/ccdc.csd.cc25r155
title: CCDC 2018136: Experimental Crystal Structure Determination

description: Related Article: Yu Chen, Yangjian Quan, Zuowei Xie|2020|Chem.Commun.|56|12997|doi:10.1039/D0CC05207H
DOI: 10.6084/m9.figshare.13214465.v1
title: The effect of regular rhythm on the perception of linguistic and non-linguistic auditory input

description: This is the dataset reported in DOI: 10.1111/ejn.15029
DOI: 10.6084/m9.figshare.13214465
title: The effect of regular rhythm on the perception of linguistic and non-linguistic auditory input

description: This is the dataset reported in DOI: 10.1111/ejn.15029
DOI: 10.5281/zenodo.4266289
title: Lost at Night located images (Data release 1)

description: Correspondences between ISS images and locations.
DOI: 10.5281/zenodo.4266288
title: Lost at Night located images (Data release 1)

description: Correspondences between ISS images and locations.
DOI: 10.5286/isis.e.rb2010289
title: Crystal size dependence on gate opening phenomenon of ZIF-8

description: Capture and sequestration of anthropogenic CO2 is a grand challenge of 21st Century. Metal-organic frameworks, in particular, Zeolitic imidazolate frameworks (ZIFs), wherein metals are bridged to organic linkers are a new class of materials showing extraordinary capability for CO2 capture. It has been shown that a dramatic increase in gas adsorption occurs at a critical pressure in ZIF-8 due to interaction of adsorbate molecule and this phenomenon is named as “gate opening”. Only limited work is available on the effect of crystal size on the properties of ZIF. Recent studies have shown that structural flexibility in ZIF-8 goes beyond gas-induced gate-opening effect to understand the adsorption behavior. The present proposal aims to study crystal dependent adsorption behavior of CO2 in ZIF-8 to elucidate adsorption mechanism using inelastic neutron scattering at TOSCA.
DOI: 10.5286/isis.e.rb2010289-1
title: Crystal size dependence on gate opening phenomenon of ZIF-8

description: Capture and sequestration of anthropogenic CO2 is a grand challenge of 21st Century. Metal-organic frameworks, in particular, Zeolitic imidazolate frameworks (ZIFs), wherein metals are bridged to organic linkers are a new class of materials showing extraordinary capability for CO2 capture. It has been shown that a dramatic increase in gas adsorption occurs at a critical pressure in ZIF-8 due to interaction of adsorbate molecule and this phenomenon is named as “gate opening”. Only limited work is available on the effect of crystal size on the properties of ZIF. Recent studies have shown that structural flexibility in ZIF-8 goes beyond gas-induced gate-opening effect to understand the adsorption behavior. The present proposal aims to study crystal dependent adsorption behavior of CO2 in ZIF-8 to elucidate adsorption mechanism using inelastic neutron scattering at TOSCA.