cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc292tz6
title: CCDC 2117888: Experimental Crystal Structure Determination

description: Related Article: Milena Dahlen, Tim P. Seifert, Sergei Lebedkin, Michael T. Gamer, Manfred M. Kappes, Peter W. Roesky|2021|Chem.Commun.|57|13146|doi:10.1039/D1CC06034A
DOI: 10.5517/ccdc.csd.cc292v08
title: CCDC 2117889: Experimental Crystal Structure Determination

description: Related Article: Milena Dahlen, Tim P. Seifert, Sergei Lebedkin, Michael T. Gamer, Manfred M. Kappes, Peter W. Roesky|2021|Chem.Commun.|57|13146|doi:10.1039/D1CC06034A
DOI: 10.5517/ccdc.csd.cc292v19
title: CCDC 2117890: Experimental Crystal Structure Determination

description: Related Article: Milena Dahlen, Tim P. Seifert, Sergei Lebedkin, Michael T. Gamer, Manfred M. Kappes, Peter W. Roesky|2021|Chem.Commun.|57|13146|doi:10.1039/D1CC06034A
DOI: 10.5517/ccdc.csd.cc28rkwh
title: CCDC 2108027: Experimental Crystal Structure Determination

description: Related Article: Qian Teng, Gang Xiang, Guang-Hui Chen, Shu-Mei Chen, Yan-Ping He, Jian Zhang|2021|Inorg.Chem.|60|18178|doi:10.1021/acs.inorgchem.1c02817
DOI: 10.5517/ccdc.csd.cc28rkxj
title: CCDC 2108028: Experimental Crystal Structure Determination

description: Related Article: Qian Teng, Gang Xiang, Guang-Hui Chen, Shu-Mei Chen, Yan-Ping He, Jian Zhang|2021|Inorg.Chem.|60|18178|doi:10.1021/acs.inorgchem.1c02817
DOI: 10.5517/ccdc.csd.cc28rkyk
title: CCDC 2108029: Experimental Crystal Structure Determination

description: Related Article: Qian Teng, Gang Xiang, Guang-Hui Chen, Shu-Mei Chen, Yan-Ping He, Jian Zhang|2021|Inorg.Chem.|60|18178|doi:10.1021/acs.inorgchem.1c02817
DOI: 10.5517/ccdc.csd.cc28rkzl
title: CCDC 2108030: Experimental Crystal Structure Determination

description: Related Article: Qian Teng, Gang Xiang, Guang-Hui Chen, Shu-Mei Chen, Yan-Ping He, Jian Zhang|2021|Inorg.Chem.|60|18178|doi:10.1021/acs.inorgchem.1c02817
DOI: 10.5517/ccdc.csd.cc28rl0n
title: CCDC 2108031: Experimental Crystal Structure Determination

description: Related Article: Qian Teng, Gang Xiang, Guang-Hui Chen, Shu-Mei Chen, Yan-Ping He, Jian Zhang|2021|Inorg.Chem.|60|18178|doi:10.1021/acs.inorgchem.1c02817
DOI: 10.5517/ccdc.csd.cc28rl1p
title: CCDC 2108032: Experimental Crystal Structure Determination

description: Related Article: Qian Teng, Gang Xiang, Guang-Hui Chen, Shu-Mei Chen, Yan-Ping He, Jian Zhang|2021|Inorg.Chem.|60|18178|doi:10.1021/acs.inorgchem.1c02817
DOI: 10.5517/ccdc.csd.cc28rl2q
title: CCDC 2108033: Experimental Crystal Structure Determination

description: Related Article: Qian Teng, Gang Xiang, Guang-Hui Chen, Shu-Mei Chen, Yan-Ping He, Jian Zhang|2021|Inorg.Chem.|60|18178|doi:10.1021/acs.inorgchem.1c02817
DOI: 10.5517/ccdc.csd.cc28txz0
title: CCDC 2110293: Experimental Crystal Structure Determination

description: Related Article: Miaomiao Tian, Jun Zheng, Jintang Xue, Xuze Pan, Dandan Zhou, Qingxia Yao, Yunwu Li, Wenzeng Duan, Jie Su, Xianqiang Huang|2021|Dalton Trans.|50|17785|doi:10.1039/D1DT03188K
DOI: 10.5517/ccdc.csd.cc24rqc0
title: CCDC 1989002: Experimental Crystal Structure Determination

description: Related Article: Dumisani V. Kama, Angelo Frei, Alice Brink, Henrik Braband, Roger Alberto, Andreas Roodt|2021|Dalton Trans.|50|17506|doi:10.1039/D1DT03234H
DOI: 10.5517/ccdc.csd.cc1p9wc7
title: CCDC 1558629: Experimental Crystal Structure Determination

description: Related Article: Dumisani V. Kama, Angelo Frei, Alice Brink, Henrik Braband, Roger Alberto, Andreas Roodt|2021|Dalton Trans.|50|17506|doi:10.1039/D1DT03234H
description: Related Article: Dumisani V. Kama, Angelo Frei, Marietjie Schutte-Smith, Alice Brink, Chantel Swart, Henrik Braband, Roger Alberto, Andreas Roodt|2021|New J.Chem.|45|22141|doi:10.1039/D1NJ04273D
DOI: 10.5517/ccdc.csd.cc1p9wb6
title: CCDC 1558628: Experimental Crystal Structure Determination

description: Related Article: Dumisani V. Kama, Angelo Frei, Alice Brink, Henrik Braband, Roger Alberto, Andreas Roodt|2021|Dalton Trans.|50|17506|doi:10.1039/D1DT03234H
description: Related Article: Dumisani V. Kama, Angelo Frei, Marietjie Schutte-Smith, Alice Brink, Chantel Swart, Henrik Braband, Roger Alberto, Andreas Roodt|2021|New J.Chem.|45|22141|doi:10.1039/D1NJ04273D
DOI: 10.5517/ccdc.csd.cc278dhf
title: CCDC 2063654: Experimental Crystal Structure Determination

description: Related Article: Eszter Fazekas, David T. Jenkins, Andrew A. Forbes, Brendan Gallagher, Georgina M. Rosair, Ruaraidh D. McIntosh|2021|Dalton Trans.|50|17625|doi:10.1039/D1DT03068J
DOI: 10.5517/ccdc.csd.cc274rcj
title: CCDC 2060147: Experimental Crystal Structure Determination

description: Related Article: Eszter Fazekas, David T. Jenkins, Andrew A. Forbes, Brendan Gallagher, Georgina M. Rosair, Ruaraidh D. McIntosh|2021|Dalton Trans.|50|17625|doi:10.1039/D1DT03068J
DOI: 10.5517/ccdc.csd.cc27hwh4
title: CCDC 2070846: Experimental Crystal Structure Determination

description: Related Article: Eszter Fazekas, David T. Jenkins, Andrew A. Forbes, Brendan Gallagher, Georgina M. Rosair, Ruaraidh D. McIntosh|2021|Dalton Trans.|50|17625|doi:10.1039/D1DT03068J
DOI: 10.5517/ccdc.csd.cc27hwqc
title: CCDC 2070853: Experimental Crystal Structure Determination

description: Related Article: Eszter Fazekas, David T. Jenkins, Andrew A. Forbes, Brendan Gallagher, Georgina M. Rosair, Ruaraidh D. McIntosh|2021|Dalton Trans.|50|17625|doi:10.1039/D1DT03068J
DOI: 10.5517/ccdc.csd.cc28y5q4
title: CCDC 2113416: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.5517/ccdc.csd.cc28xzv1
title: CCDC 2113234: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.5517/ccdc.csd.cc28xzsz
title: CCDC 2113232: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.5517/ccdc.csd.cc28xzx3
title: CCDC 2113236: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.26180/17058278.v4
title: PhD thesis: supplementary files and tables

description: This file contains the supplementary files and tables for the manuscripts included in Ryan Wick's PhD thesis.
DOI: 10.26180/17058278
title: PhD thesis: supplementary files and tables

description: This file contains the supplementary files and tables for the manuscripts included in Ryan Wick's PhD thesis.
DOI: 10.26180/17058278.v6
title: PhD thesis: supplementary files and tables

description: This file contains the supplementary files and tables for the manuscripts included in Ryan Wick's PhD thesis.
DOI: 10.26180/17058278.v5
title: PhD thesis: supplementary files and tables

description: This file contains the supplementary files and tables for the manuscripts included in Ryan Wick's PhD thesis.
DOI: 10.6084/m9.figshare.17139917
title: data.xlsx

description: The Excel file contains the data indicating locations where the hazard alarm was received in different settings as per the research design. For further details, refer to the publication titled "Beacon-Based Individualized Hazard Alarm System for Construction Sites: An Experimental Study on Sensor <br> Deployment" published by Applied Sciences, MDPI.
DOI: 10.6084/m9.figshare.17139917.v1
title: data.xlsx

description: The Excel file contains the data indicating locations where the hazard alarm was received in different settings as per the research design. For further details, refer to the publication titled "Beacon-Based Individualized Hazard Alarm System for Construction Sites: An Experimental Study on Sensor <br> Deployment" published by Applied Sciences, MDPI.
DOI: 10.3886/e156541
title: (Dis)connected: Establishing social presence and intimacy in teacher-student relationships during emergency remote learning

description: Following the closures of schools due to COVID-19, teachers were required to adapt their curricula, pedagogy and relationships with their students to fit remote learning structures. In the traditional classroom context, teachers have a number of ways to check in on and connect with their students that do not translate to the virtual classroom. Using data gathered through an online qualitative survey of over 800 Chicago teachers in July 2020, this paper will examine the ways that the shift to remote learning impacted teachers’ relationships with their students during the spring of 2020. Utilizing social presence theory, the study captures some of the relational challenges that teachers experienced during the initial months of remote instruction. The study identifies increased individualization, deeper holistic understandings of students, and a diversity of mechanisms of engagement as pedagogical techniques that allowed teachers to maintain and even improve their relationships with students
description: Response Rates: Union membership includes approximately 25,000 classroom teachers, counselors, support staff, special education professionals, and arts/specials educators within Chicago Public Schools as well as several unionized charter schools (CTU Local 1). Participation was voluntary and uncompensated. The response rate was approximately 5.5%, yielding 1200 responses over 10 days beginning July 19, 2020. Submissions that were less than 75% complete were dropped.
description: Random sampling within Chicago Teachers Union population.
description: Members of the Chicago Teachers Union that were remote instructors during the initial months of remote instruction after the onset of the COVID-19 pandemic.
description: web-based survey; Link to online survey was sent out by the Chicago Teachers Union to its membership.
DOI: 10.3886/e156541v1
title: (Dis)connected: Establishing social presence and intimacy in teacher-student relationships during emergency remote learning

description: Following the closures of schools due to COVID-19, teachers were required to adapt their curricula, pedagogy and relationships with their students to fit remote learning structures. In the traditional classroom context, teachers have a number of ways to check in on and connect with their students that do not translate to the virtual classroom. Using data gathered through an online qualitative survey of over 800 Chicago teachers in July 2020, this paper will examine the ways that the shift to remote learning impacted teachers’ relationships with their students during the spring of 2020. Utilizing social presence theory, the study captures some of the relational challenges that teachers experienced during the initial months of remote instruction. The study identifies increased individualization, deeper holistic understandings of students, and a diversity of mechanisms of engagement as pedagogical techniques that allowed teachers to maintain and even improve their relationships with students
description: Response Rates: Union membership includes approximately 25,000 classroom teachers, counselors, support staff, special education professionals, and arts/specials educators within Chicago Public Schools as well as several unionized charter schools (CTU Local 1). Participation was voluntary and uncompensated. The response rate was approximately 5.5%, yielding 1200 responses over 10 days beginning July 19, 2020. Submissions that were less than 75% complete were dropped.
description: Random sampling within Chicago Teachers Union population.
description: Members of the Chicago Teachers Union that were remote instructors during the initial months of remote instruction after the onset of the COVID-19 pandemic.
description: web-based survey; Link to online survey was sent out by the Chicago Teachers Union to its membership.
DOI: 10.4121/16764205.v1
title: Instances, file format, generator script and results for the Resource Constrained Project Scheduling Problem with a flexible Project Structure and Consumption and Production of Resources

description: This dataset contains the following:- 3232 instances without nonrenewable resources- 3232 instances with nonrenewable resources- The generator script (Python) used to generate these instances- A description of the file format- Results for the Ant Colony Optimization and Hybrid Differential evolution algorithms<br>
DOI: 10.4121/17048552.v1
title: Supporting dataset for "Global correction of optical distortions in single-molecule microscopy using Zernike polynomial gradients"

description: The associated publication describes the use of a Python package, Naclib, to implement S/T Polynomial Decomposition (STPD) correction of single-molecule microscopy images.<br>The Naclib library is available on Gitlab (linked below).<br>The data in this repository allow recapitulation of the results in the publication, with some processing.
DOI: 10.4121/17048552
title: Supporting dataset for "Global correction of optical distortions in single-molecule microscopy using Zernike polynomial gradients"

description: The associated publication describes the use of a Python package, Naclib, to implement S/T Polynomial Decomposition (STPD) correction of single-molecule microscopy images.<br>The Naclib library is available on Gitlab (linked below).<br>The data in this repository allow recapitulation of the results in the publication, with some processing.
DOI: 10.4121/17118491.v1
title: Data underlying the research of VPN Mental Models Among Experts and Non-Experts in a Corporate Context

description: This dataset contains the summary of demographic information, anonymized semi-structured interview transcripts, and drawings resulting from our study on mental models or VPN technology among experts and non-experts in a professional service firm in the Netherlands. The interviews were conducted in June and July 2020. We conducted semi-structured interviews with eleven experts and seven non-experts. We also asked our participants to complete a drawing exercise to help participants to think aloud about how the VPN is organized and functions. Five interviews were conducted in English, and thirteen were in Dutch.<br>The interview questions were focused on the following topics:1) What a VPN is? 2) For what purpose a VPN is used? 3) What the technical infrastructure of a VPN looks like? 3) What the security benefits and/or risks of using a VPN are? 4) What changes occur in the threat landscape when using a VPN?5) What the impact of a possible attack could be when using a VPN.<br>This research project was reviewed and approved by the Human Research Ethics Committee of the Delft University of Technology (reference number: 55223).
DOI: 10.4121/17118491
title: Data underlying the research of VPN Mental Models Among Experts and Non-Experts in a Corporate Context

description: This dataset contains the summary of demographic information, anonymized semi-structured interview transcripts, and drawings resulting from our study on mental models or VPN technology among experts and non-experts in a professional service firm in the Netherlands. The interviews were conducted in June and July 2020. We conducted semi-structured interviews with eleven experts and seven non-experts. We also asked our participants to complete a drawing exercise to help participants to think aloud about how the VPN is organized and functions. Five interviews were conducted in English, and thirteen were in Dutch.<br>The interview questions were focused on the following topics:1) What a VPN is? 2) For what purpose a VPN is used? 3) What the technical infrastructure of a VPN looks like? 3) What the security benefits and/or risks of using a VPN are? 4) What changes occur in the threat landscape when using a VPN?5) What the impact of a possible attack could be when using a VPN.<br>This research project was reviewed and approved by the Human Research Ethics Committee of the Delft University of Technology (reference number: 55223).
DOI: 10.3886/e156141
title: Replication data for: The Effects of Lender of Last Resort on Financial Intermediation during the Great Depression in Japan

description: The Bank of Japan (BOJ) expanded its liquidity provision in response to a series of financial panics from 1931-1932; however, the BOJ restricted its lending mostly to correspondent banks. We use the BOJ’s preferential treatment of correspondent banks as a quasi-experimental setting to examine the impact of central bank lending on financial intermediation. We find that deposits and loans did not fall as fast for correspondent banks as for other banks during the panic period. Furthermore, correspondent banks were less likely to be closed. The results suggest that central banks’ liquidity provision plays a critical backstop role during financial stringency. <br>
DOI: 10.3886/e156141v1
title: Replication data for: The Effects of Lender of Last Resort on Financial Intermediation during the Great Depression in Japan

description: The Bank of Japan (BOJ) expanded its liquidity provision in response to a series of financial panics from 1931-1932; however, the BOJ restricted its lending mostly to correspondent banks. We use the BOJ’s preferential treatment of correspondent banks as a quasi-experimental setting to examine the impact of central bank lending on financial intermediation. We find that deposits and loans did not fall as fast for correspondent banks as for other banks during the panic period. Furthermore, correspondent banks were less likely to be closed. The results suggest that central banks’ liquidity provision plays a critical backstop role during financial stringency. <br>
DOI: 10.6084/m9.figshare.3860016
title: WISE/DEIMOS Redshift Catalog, Version 2

description: Reanalysis of spectra used to generate the redshift catalog originally published in 2012 under DOI:10.1088/0004-6256/143/1/7, as described in a paper under DOI(to be added after paper passes peer review). Designation has ``NA" for serendipitous sources. ID is a unique integer assigned to each source in the catalog. Ra and Dec are the J2000 right ascension and declination of the primary target on the slit. W1targ is the W1 Vega magnitude used for target selection (``nan" if unavailable). TG is the target group (explained in the text). mask is the mask number, and it corresponds to the Field Number of Table 4. SlitNum is the slit number in the mask the source fell on. z is the Earth-centric redshift of the source (``nan" if no valid redshift could be determined); no correction for the motion of the sun, Earth's orbital motion, or the CMB dipole was made, but all redshifts were gathered on a single night, Universal Time 2010 September 14, using the Keck 2 telescope on Mauna Kea, Hawaii. z_err is the uncertainty in the redshift, as ascertained by the template correlation performed by SpecPro (``nan" if redshift invalid or a star). q_z is the quality code of the spectrum, explained in the text. class is the spectroscopic classification assigned to the source, one of: ``Star" for stars, ``Gal" for galaxy, ``QSO" for broad line quasar, ``Indet" for a source that had an indeterminate spectrum, ``Unseen" for sources that didn't produce an observable spectrum, and ``Lost" for sources that were lost to instrument constraints. SpecProTemplate is the name of the SpecPro template that matches the spectrum closest (``NA" for invalid sources). R is a flag for whether the source was ``real," that is, it corresponds to a non-artifact AllWISE source. SpecFeatures is a list of spectroscopic features listed in the specPro software that were identified, in increasing wavelength order (no distinction is made between emission and absorption features).<br>
DOI: 10.6084/m9.figshare.17139992
title: Nanoengineered on-demand drug delivery system improves efficacy of pharmacotherapy for epilepsy

description: The dataset was collected during a therapeutic study for epilepsy control at Zhejiang Chinese Medical University and Zhejiang University, and has been processed to produce a manuscript with supplementary information accepted for publication in Science Advances.Long-term pharmacotherapy, serving as the main therapeutic approach for epilepsy prophylaxis, has suffered from limited efficacy and potential side effects, due to blood-brain barrier (BBB) and untimely medication. Here, we reported a nano-engineered drug delivery system for synergistic brain-targeting delivery and on-demand drug release of antiepileptic drugs (AEDs). The physical and chemical properties of the delivery system including nanoparticle size, surface charge, monodispersity, conductivity and others were collected. Cellular study including transwell model for BBB penetration was also conducted. The results demonstrated that the dopamine-pyrrole hybrid system can improve delivery efficiency through a combination of receptor-mediated transcytosis and BBB disruption-enabled transport induced by photothermal conversion of near-infrared light. By evaluation of the drug release profiles of the delivery system under various condions, we concluded that incorporation of polydopamine endowed the delivery system with enhanced conductivity and sensitivity, giving sustained (2 hours) and rapid (30 s) drug release in response to epileptiform discharges. Three animal models including acute, continuous and spontaneous seizure models validated that the delivery system could inhibit seizures upon epileptiform abnormalities, treated by one-fifth of the conventional dosage. Complemented with satisfactory biosafety results, this "smart" modality is promising to be an effective and safe strategy to improve the therapeutic index of AEDs for epilepsy.<br>
DOI: 10.6084/m9.figshare.17139992.v1
title: Nanoengineered on-demand drug delivery system improves efficacy of pharmacotherapy for epilepsy

description: The dataset was collected during a therapeutic study for epilepsy control at Zhejiang Chinese Medical University and Zhejiang University, and has been processed to produce a manuscript with supplementary information accepted for publication in Science Advances.Long-term pharmacotherapy, serving as the main therapeutic approach for epilepsy prophylaxis, has suffered from limited efficacy and potential side effects, due to blood-brain barrier (BBB) and untimely medication. Here, we reported a nano-engineered drug delivery system for synergistic brain-targeting delivery and on-demand drug release of antiepileptic drugs (AEDs). The physical and chemical properties of the delivery system including nanoparticle size, surface charge, monodispersity, conductivity and others were collected. Cellular study including transwell model for BBB penetration was also conducted. The results demonstrated that the dopamine-pyrrole hybrid system can improve delivery efficiency through a combination of receptor-mediated transcytosis and BBB disruption-enabled transport induced by photothermal conversion of near-infrared light. By evaluation of the drug release profiles of the delivery system under various condions, we concluded that incorporation of polydopamine endowed the delivery system with enhanced conductivity and sensitivity, giving sustained (2 hours) and rapid (30 s) drug release in response to epileptiform discharges. Three animal models including acute, continuous and spontaneous seizure models validated that the delivery system could inhibit seizures upon epileptiform abnormalities, treated by one-fifth of the conventional dosage. Complemented with satisfactory biosafety results, this "smart" modality is promising to be an effective and safe strategy to improve the therapeutic index of AEDs for epilepsy.<br>
DOI: 10.5517/ccdc.csd.cc28xzqx
title: CCDC 2113230: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E
DOI: 10.5517/ccdc.csd.cc28xzry
title: CCDC 2113231: Experimental Crystal Structure Determination

description: Related Article: Rhys P. King, William Levason, Gillian Reid|2021|Dalton Trans.|50|17751|doi:10.1039/D1DT03339E