cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21hhwy
title: CCDC 1891740: Experimental Crystal Structure Determination

description: Related Article: S.A. Guerrero, J.E. Ramírez, A. Palma, J. Cobo, C. Glidewell|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|168|doi:10.1107/S2053229619000871
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21hhxz
title: CCDC 1891741: Experimental Crystal Structure Determination

description: Related Article: S.A. Guerrero, J.E. Ramírez, A. Palma, J. Cobo, C. Glidewell|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|168|doi:10.1107/S2053229619000871
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21hhy0
title: CCDC 1891742: Experimental Crystal Structure Determination

description: Related Article: S.A. Guerrero, J.E. Ramírez, A. Palma, J. Cobo, C. Glidewell|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|168|doi:10.1107/S2053229619000871
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.2549986
title: Memory Effects in a Random Walk Description of Protein Structure Ensembles

description: This ActivePaper file contains all the code and data that was used in generating the figures for the article "Memory Effects in a Random Walk Description of Protein Structure Ensembles" by Gerald R Kneller and Konrad Hinsen, J. Chem. Phys. <strong>150</strong>, 064911 (2019); https://doi.org/10.1063/1.5054887
DOI: 10.5281/zenodo.2549987
title: Memory Effects in a Random Walk Description of Protein Structure Ensembles

description: This ActivePaper file contains all the code and data that was used in generating the figures for the article "Memory Effects in a Random Walk Description of Protein Structure Ensembles" by Gerald R Kneller and Konrad Hinsen, J. Chem. Phys. <strong>150</strong>, 064911 (2019); https://doi.org/10.1063/1.5054887
DOI: 10.5517/ccdc.csd.cc21hqw5
title: CCDC 1891957: Experimental Crystal Structure Determination

description: Related Article: Chunmiao Ma|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc21kjgm
title: CCDC 1893680: Experimental Crystal Structure Determination

description: Related Article: Vijay Kumar Maka, Jarugu Narasimha Moorthy|2019|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5bc9t
title: MassIVE MSV000083366 - Identification of  POH1-interacting proteins
title: Proteins purified through immunoaffinity using Flag M2 Affinity Gel in POH1-Flag expressed cells were resolved by SDS-PAGE followed by excised, digested with trypsin into peptides. And then the sample was subjected to Liquid chromatography-tandem mass spectrometry analysis.
DOI: 10.17632/3pr2ts6f6k.1
title: Data for: Kuannersuit Glacier revisited: Constraining ice dynamics, landform formations and glaciomorphological changes in the early quiescent phase following the 1995-98 surge event

description: Kuannersuit Glacier ice thicknesses and ice dynamics
DOI: 10.25919/5c4c5ba6475f1
title: Parkes observations for project PX501 semester 2018OCTS_33

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries.  As the observing time has been purchased this proposal (and the related PX500) does not require TAC grading.  The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first (PX500) will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period.  The second type of time (relating to this proposal) will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.2550074
title: aghounshell/Extreme_Events: First release of code and data

description: This is the first release of the associated code and data. For questions or comments, please contact A. Hounshell at ahounshell10(at)gmail.com.
DOI: 10.5281/zenodo.2550075
title: aghounshell/Extreme_Events: First release of code and data

description: This is the first release of the associated code and data. For questions or comments, please contact A. Hounshell at ahounshell10(at)gmail.com.
DOI: 10.25345/c56p6j
title: MassIVE MSV000083367 - GNPS 20180704C ESI-
title: ESI-
10microL
Gradient
LCMS-HRMS DDA Tool, without restriction
DOI: 10.21227/6zyz-zd46
title: Device Fingerprinting

description: Device Fingerprinting for Access Control over a Campus and Isolated NetworkDevice Fingerprinting (DFP) is a technique to identify devices using Inter-Arrival Time (IAT) of packets and without using any other unique identifier. Our experiments include generating graphs of IATs of 100 packets and using Convolutional Neural Network on the generated graphs to identify a device. We did two experiments where the first experiment was on Raspberri Pi and other experiment was on crawdad dataset.First Experiment: Raspberry PiWe developed a packet sniffer application to capture IAT of packets. Packet sniffer application was installed on Raspberry pi that was configured to work as router. We connceted two devices iPad4 and iPhone 7 Plus to the router and created IAT graphs for these two devices. Our scheme based on Convolution Neural Network (CNN) was able to identify the devices with accuracy of 86.7%.DFP on Raspberry PiSecond Experiment: Crawdad DatasetIn the second experiment, we tested the scheme with Crawdad dataset. The proposed scheme achieved accuracy of 95.5% for GTID that is 3% higher than previous scheme \cite{gatech-fingerprinting-20140609} for 14 devices and 5 device types on isolated network while 40% efficient in time to test a device fingerprint.
DOI: 10.21227/a6db-8433
title: Device Fingerprinting

description: Device Fingerprinting for Access Control over a Campus and Isolated NetworkDevice Fingerprinting (DFP) is a technique to identify devices using Inter-Arrival Time (IAT) of packets and without using any other unique identifier. Our experiments include generating graphs of IATs of 100 packets and using Convolutional Neural Network on the generated graphs to identify a device. We did two experiments where the first experiment was on Raspberri Pi and other experiment was on crawdad dataset.First Experiment: Raspberry PiWe developed a packet sniffer application to capture IAT of packets. Packet sniffer application was installed on Raspberry pi that was configured to work as router. We connceted two devices iPad4 and iPhone 7 Plus to the router and created IAT graphs for these two devices. Our scheme based on Convolution Neural Network (CNN) was able to identify the devices with accuracy of 86.7%.DFP on Raspberry PiSecond Experiment: Crawdad DatasetIn the second experiment, we tested the scheme with Crawdad dataset. The proposed scheme achieved accuracy of 95.5% for GTID that is 3% higher than previous scheme \cite{gatech-fingerprinting-20140609} for 14 devices and 5 device types on isolated network while 40% efficient in time to test a device fingerprint.
DOI: 10.5281/zenodo.2548621
title: Estimation of olfactory sensitivity using a Bayesian adaptive method

description: This is the dataset analyzed by Höchenberger & Ohla (2019).

<strong>Abstract of the publication:</strong>

The ability to smell is crucial for most species as it enables the detection of environmental threats like smoke, it fosters social interactions, and it contributes to the sensory evaluation of food and eating behavior. The high prevalence for smell disturbances throughout the life span call for a continuous effort to improve tools for the quick and reliable assessment of the ability to smell. Odor-dispensing pens, called Sniffin' Sticks, are an established tool to test olfactory function. We tested the suitability of a Bayesian adaptive algorithm (QUEST) to estimate olfactory sensitivity using Sniffin' Sticks by comparing its results with those obtained via the established standard protocol, which relies on a staircase procedure. Thresholds were measured according to both procedures in two sessions (Test and Retest). The staircase successfully yielded threshold estimates in more cases than QUEST. Yet, Test-Retest correlations showed stronger reliability for QUEST (rho=0.70) than for staircase thresholds (rho=0.50). A strong correlation (rho=0.80) between the results of both procedures indicated good validity of QUEST. We conclude that the QUEST procedure may offer quicker convergence and reduced testing time in some cases, but fail to yield a threshold estimate in others.
DOI: 10.26300/kf6c-r965
title: Appendix 1 Data
DOI: 10.26300/jgdt-jw28
title: Appendix 2 Data
DOI: 10.26300/jp9s-wc21
title: Appendix 3 Data
DOI: 10.26300/ze2g-rw10
title: Appendix 4 Data
DOI: 10.26300/cy69-wa46
title: Chapter 3 Data
DOI: 10.26300/p4j4-0v13
title: Chapter 4 Data
DOI: 10.25919/5c4cfa5388fca
title: Parkes observations for project PX500 semester 2018OCTS_46

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries.  As the observing time has been purchased this proposal (and the related PX501) does not require TAC grading.  The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first, relating to this proposal, will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period.  The second type of time will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.26300/ne3y-3321
title: Chapter 5 Data
DOI: 10.26300/s92q-cv85
title: Chapter 6 Data
DOI: 10.25919/5c4d077732d33
title: Parkes observations for project P789 semester 2018OCTS_12

description: Recently there has been great success at Parkes discovering millisecond pulsars (MSPs), a class that includes some of the most interesting and scientifically valuable pulsars known. In the last few years, we have discovered more than 40 MSPs though the High Time Resolution Universe Survey (P630) and Fermi searches (P675/P814). Here we propose to carry out precision timing of these sources to fully exploit these discoveries. Additionally, we continue to study the most significant of the discoveries from the Parkes Multibeam Pulsar Survey (P268). 
To maximise scientific impact, we have combined the most important sources from various previous proposals into this project, reducing total observation time required and easing the burden on the scheduler.
DOI: 10.5281/zenodo.2549184
title: A Layer-averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation and Sensitivity Exploration

description: Selected model output data for supporting this paper. List of Files: 2dtracer.tar.gz: correlated tracer test rh3d.tar.gz: 3D Rossby-Haurwitz Wave modon.tar.gz: Colliding Modons jwss.tar.gz: Jablonowski-Williamson Baroclinic Steady State jwbw_1d.tar.gz: 1D data output from Jablonowski-Williamson Baroclinic Wave jwbw_2d.tar.gz: 2D data output from Jablonowski-Williamson Baroclinic Wave dcmip31.tar.gz: DCMIP3-1 nonhydrostatic gravity wave Klemp15.tar.gz: Nonhydrostatic Mountain Waves in Klemp et al. 2015 held-suarez.tar.gz: Held-Suarez dry climate (post-processed data for plotting, the raw daily data are too large to upload) jwbwvr.tar.gz: Variable-Resolution modeling of the Jablonowski-Williamson Baroclinic Wave see https://doi.org/10.5281/zenodo.3544795 for a companion work References: Zhang, Y., J. Li, R. Yu, S. Zhang, Z. Liu, J. Huang, and Y. Zhou, 2019: A Layer-Averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation, and Sensitivity Exploration. <em>Journal of Advances in Modeling Earth Systems</em>, <strong>11,</strong> 1685-1714.
DOI: 10.5281/zenodo.2549185
title: A Layer-averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation and Sensitivity Exploration

description: Selected model output data for supporting this paper. List of Files: 2dtracer.tar.gz: correlated tracer test rh3d.tar.gz: 3D Rossby-Haurwitz Wave modon.tar.gz: Colliding Modons jwss.tar.gz: Jablonowski-Williamson Baroclinic Steady State jwbw_1d.tar.gz: 1D data output from Jablonowski-Williamson Baroclinic Wave jwbw_2d.tar.gz: 2D data output from Jablonowski-Williamson Baroclinic Wave dcmip31.tar.gz: DCMIP3-1 nonhydrostatic gravity wave Klemp15.tar.gz: Nonhydrostatic Mountain Waves in Klemp et al. 2015 held-suarez.tar.gz: Held-Suarez dry climate (post-processed data for plotting, the raw daily data are too large to upload) jwbwvr.tar.gz: Variable-Resolution modeling of the Jablonowski-Williamson Baroclinic Wave see https://doi.org/10.5281/zenodo.3544795 for a companion work References: Zhang, Y., J. Li, R. Yu, S. Zhang, Z. Liu, J. Huang, and Y. Zhou, 2019: A Layer-Averaged Nonhydrostatic Dynamical Framework on an Unstructured Mesh for Global and Regional Atmospheric Modeling: Model Description, Baseline Evaluation, and Sensitivity Exploration. <em>Journal of Advances in Modeling Earth Systems</em>, <strong>11,</strong> 1685-1714.
DOI: 10.7303/syn22256132
title: Preconditioning human pharyngeal motor cortex enhances directional metaplasticity induced by repetitive transcranial magnetic stimulation
DOI: 10.3886/e119821v1
title: Data and Code for "Learning from unrealized versus realized prices"

description: Our experiments investigate the extent to which traders learn from the price, differentiating between situations where orders are submitted before versus after the price has realized. In simultaneous markets with bids that are conditional on the price, traders neglect the information conveyed by the hypothetical value of the price. In sequential markets where the price is known prior to the bid submission, traders react to price to an extent that is roughly consistent with the benchmark theory. The difference’s robustness to a number of variations provides insights about the drivers of this effect.<br><br>
DOI: 10.3886/e104781
title: Identifying Extensions of Protection in Prescription Drugs: Navigating the Data Landscape for Large-Scale Analysis

description: Patents and exclusivities have become an increasingly important component in the “life cycle management” strategies that are employed by pharmaceutical companies to prolong the period of market monopoly for their drugs.<br><br>Presenting the first comprehensive study of evergreening, this study examines all pharmaceuticals in the U.S. the market between 2005 and 2015, collecting 160,000 data points to note every instance in which a company added a new patent or exclusivity. This study gathers patent and exclusivity information published in the “Orange Book,” which is a regular FDA publication containing information on approved drugs, their therapeutically equivalent generics, and the patents and exclusivities attached to approved drugs, among other drug-related data.<br>
DOI: 10.3886/e120312
title: Americans’ COVID-19 preventative practices in April and May 2020

description: Our research team conducted three cross-sectional, nationally representative online surveys of the U.S. population over a period of six weeks starting in early April and ending in mid-May 2020. The surveys provided a snapshot of the self-reported social distancing compliance, handwashing and mask wearing behavior, proportion of population receiving COVID-19 tests, and an indication of Americans’ sentiments about the pandemic during this period. We found that people going out of the home zero times in a four day period ranged from 17% to 28% during the three surveys, people wearing masks rose from 23% to 49% over the three surveys, and that people washing their hands three or more times a day remained high at 83 to 88% through all three surveys. The results provide evidence for State and national level policy makers on which segments of the population may need more attention with messaging to ensure compliance with staged re-opening of the economies. They also point researchers to areas for more research, especially related to mental health and testing coverage.<br>
description: Adults over 18 in the United States. Smallest Geographic Unit: National
description: Our research team conducted three nationally representative surveys using SurveyMonkey samples, which are based on the European Society for Opinion and Market Research (ESOMAR) standard questions for determining target samples. SurveyMonkey recruits samples through SurveyMonkey Contribute, which donates $0.50 to charity in exchange for each completed survey, and SurveyMonkey Rewards, which allows respondents to earn $0.25 in credits towards gift cards or donations. The target panels for these surveys were balanced by gender, age, and region. The sample size was 1,332 in the April 6 survey; 1,200 in the April 20 survey; and 1,284 in the May 4 survey.
DOI: 10.3886/e120312v1
title: Americans’ COVID-19 preventative practices in April and May 2020

description: Our research team conducted three cross-sectional, nationally representative online surveys of the U.S. population over a period of six weeks starting in early April and ending in mid-May 2020. The surveys provided a snapshot of the self-reported social distancing compliance, handwashing and mask wearing behavior, proportion of population receiving COVID-19 tests, and an indication of Americans’ sentiments about the pandemic during this period. We found that people going out of the home zero times in a four day period ranged from 17% to 28% during the three surveys, people wearing masks rose from 23% to 49% over the three surveys, and that people washing their hands three or more times a day remained high at 83 to 88% through all three surveys. The results provide evidence for State and national level policy makers on which segments of the population may need more attention with messaging to ensure compliance with staged re-opening of the economies. They also point researchers to areas for more research, especially related to mental health and testing coverage.<br>
description: Adults over 18 in the United States. Smallest Geographic Unit: National
description: Our research team conducted three nationally representative surveys using SurveyMonkey samples, which are based on the European Society for Opinion and Market Research (ESOMAR) standard questions for determining target samples. SurveyMonkey recruits samples through SurveyMonkey Contribute, which donates $0.50 to charity in exchange for each completed survey, and SurveyMonkey Rewards, which allows respondents to earn $0.25 in credits towards gift cards or donations. The target panels for these surveys were balanced by gender, age, and region. The sample size was 1,332 in the April 6 survey; 1,200 in the April 20 survey; and 1,284 in the May 4 survey.
DOI: 10.3886/e102000v2-43196
title: United States Governors 1775-2020

description: Version 2 Release Notes:Adds 2019 and 2020 (current) governor data.Adds data as R and Stata formats.<br><br>This data contains the governor of every state or territory from 1775 to 2020. The governor's political party is included. Some governors were in multiple political parties during their lives so this variable may have multiple values for a single governor. <br>Parties prior to 1950 are completely unchanged. <br><br>For parties in years 1950-2018 I standardized spelling of some parties (e.g. "Democratic" to "Democrat") and if a governor was reported to be in multiple parties, set the party for a given year to the party that governor was in during that year. <br><br>All data comes from the National Governors Association website. https://www.nga.org/cms/home<br><br>For code used to scrape the website and clean the data, see here. https://github.com/jacobkap/governors<br>
DOI: 10.3886/e120319v1
title: The Rise and Fall of India's Relative Investment Price: A Tale of Policy Error and Reform

description: India's relative price of investment rose 44% from 1981 to 1991 and fell 26% from 1991 to 2006. We build a simple DGE model calibrated to Indian data in order to explore the impact of capital import substitution policies and their reform post-1991, in accounting for this rise and fall. Our model delivers a 23% rise before reform and a 31% fall thereafter. GDP per effective labor was 3% lower in 1991 compared to 1981 due to import restrictions on capital goods. Their removal and a 71 percentage point reduction in tariff rates raised GDP per effective labor permanently by 20%.
DOI: 10.3886/e120319v2
title: The Rise and Fall of India's Relative Investment Price: A Tale of Policy Error and Reform

description: India's relative price of investment rose 44% from 1981 to 1991 and fell 26% from 1991 to 2006. We build a simple DGE model calibrated to Indian data in order to explore the impact of capital import substitution policies and their reform post-1991, in accounting for this rise and fall. Our model delivers a 23% rise before reform and a 31% fall thereafter. GDP per effective labor was 3% lower in 1991 compared to 1981 due to import restrictions on capital goods. Their removal and a 71 percentage point reduction in tariff rates raised GDP per effective labor permanently by 20%.
DOI: 10.5519/qd.avfwc0q4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.21227/qg5v-kq62
title: Nurse Care Activities Datasets: In laboratory and in real field

description: Nurse Care Activity RecognitionActivity recognition is specially gaining attention in care facilities for remote monitoring of daily activities for elders living alone and automatic record creation for nurses in hospitals with a goal of providing better care to patients. One challenge for these applications is bridging the gap between models created within the lab and models for real life. In this challenge, participants will create methods for recognizing 12 activities conducted by nurses in both lab and in real-life settings. In real world, there is high chance of getting missing labels during experiments since users are busy at work. The main challenge is leveraging laboratory data to improve models in real-life. This dataset consists of data collected in both settings.