cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc21c8l9
title: CCDC 1887670: Experimental Crystal Structure Determination

description: Related Article: Yumi Yakiyama, Takahisa Fujinaka, Mio Nishimura, Ryotaro Seki, Hidehiro Sakurai|2020|Chem.Commun.|56|9687|doi:10.1039/D0CC03408H
DOI: 10.5517/ccdc.csd.cc21c8mb
title: CCDC 1887671: Experimental Crystal Structure Determination

description: Related Article: Yumi Yakiyama, Takahisa Fujinaka, Mio Nishimura, Ryotaro Seki, Hidehiro Sakurai|2020|Chem.Commun.|56|9687|doi:10.1039/D0CC03408H
DOI: 10.5517/ccdc.csd.cc21c8rg
title: CCDC 1887675: Experimental Crystal Structure Determination

description: Related Article: Yumi Yakiyama, Takahisa Fujinaka, Mio Nishimura, Ryotaro Seki, Hidehiro Sakurai|2020|Chem.Commun.|56|9687|doi:10.1039/D0CC03408H
DOI: 10.5517/ccdc.csd.cc21c8pd
title: CCDC 1887673: Experimental Crystal Structure Determination

description: Related Article: Yumi Yakiyama, Takahisa Fujinaka, Mio Nishimura, Ryotaro Seki, Hidehiro Sakurai|2020|Chem.Commun.|56|9687|doi:10.1039/D0CC03408H
DOI: 10.5517/ccdc.csd.cc21c8d3
title: CCDC 1887664: Experimental Crystal Structure Determination

description: Related Article: Yumi Yakiyama, Takahisa Fujinaka, Mio Nishimura, Ryotaro Seki, Hidehiro Sakurai|2020|Chem.Commun.|56|9687|doi:10.1039/D0CC03408H
DOI: 10.5517/ccdc.csd.cc23bl35
title: CCDC 1946586: Experimental Crystal Structure Determination

description: Related Article: Nainy Khera, Kunal Prakash|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc252ntr
title: CCDC 1998564: Experimental Crystal Structure Determination

description: Related Article: Mi Yan, Yu Liu, Jinjiang Xu, Liyuan Yang, Lin Zhang, Fude Nie, Shiliang Huang|2020|Cryst.Growth Des.|20|5387|doi:10.1021/acs.cgd.0c00597
DOI: 10.5517/ccdc.csd.cc2533v8
title: CCDC 1998999: Experimental Crystal Structure Determination

description: Related Article: Yong Ai,  Yu-Ling Zeng,  Wen-Hui He,  Xue-Qin Huang,  Yuan-Yuan Tang|2020|J.Am.Chem.Soc.|142|13989|doi:10.1021/jacs.0c06936
DOI: 10.5517/ccdc.csd.cc253bm8
title: CCDC 1999209: Experimental Crystal Structure Determination

description: Related Article: Kazato Inanaga, Marco Wollenburg, Shoshana Bachman, Nicholas Hafeman, Brian Stoltz|2020|CSD Communication|||
description: Related Article: Kazato Inanaga, Marco Wollenburg, Shoshana Bachman, Nicholas J. Hafeman, Brian M. Stoltz|2020|Chemical Science|11|7390|doi:10.1039/D0SC02366C
DOI: 10.5517/ccdc.csd.cc253qhj
title: CCDC 1999577: Experimental Crystal Structure Determination

description: Related Article: Srinivas Thadkapally, Kaveh Farshadfar, Melanie A. Drew, Christopher Richardson, Alireza Ariafard, Stephen G. Pyne, Christopher J. T. Hyland|2020|Chemical Science|11|10945|doi:10.1039/D0SC04390G
DOI: 10.5517/ccdc.csd.cc253x7g
title: CCDC 1999755: Experimental Crystal Structure Determination

description: Related Article: Catherine M. Aitchison, Michael Sachs, Marc A. Little, Liam Wilbraham, Nick J. Brownbill, Christopher M. Kane, Frédéric Blanc, Martijn A. Zwijnenburg, James R. Durrant, Reiner Sebastian Sprick, Andrew I. Cooper|2020|Chemical Science|11|8744|doi:10.1039/D0SC02675A
DOI: 10.5517/ccdc.csd.cc24nzzs
title: CCDC 1986386: Experimental Crystal Structure Determination

description: Related Article: Yue Li, Min Liu, Zi-Shuo Yao, Jun Tao|2020|Dalton Trans.|49|7245|doi:10.1039/D0DT00866D
DOI: 10.5517/ccdc.csd.cc24p01x
title: CCDC 1986388: Experimental Crystal Structure Determination

description: Related Article: Yue Li, Min Liu, Zi-Shuo Yao, Jun Tao|2020|Dalton Trans.|49|7245|doi:10.1039/D0DT00866D
DOI: 10.5517/ccdc.csd.cc24p02y
title: CCDC 1986389: Experimental Crystal Structure Determination

description: Related Article: Yue Li, Min Liu, Zi-Shuo Yao, Jun Tao|2020|Dalton Trans.|49|7245|doi:10.1039/D0DT00866D
DOI: 10.5517/ccdc.csd.cc2551p3
title: CCDC 2000854: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Simon H. F. Schreiner, Philipp Schüler, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13072|doi:10.1039/D0DT01923B
DOI: 10.5517/ccdc.csd.cc2551q4
title: CCDC 2000855: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Simon H. F. Schreiner, Philipp Schüler, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13072|doi:10.1039/D0DT01923B
DOI: 10.5517/ccdc.csd.cc2551r5
title: CCDC 2000856: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Simon H. F. Schreiner, Philipp Schüler, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13072|doi:10.1039/D0DT01923B
DOI: 10.6084/m9.figshare.13125698
title: Balcony Birdwatching Field Data

description: In this data set each row on the data sheet represents a species level observation. The purpose of this data is to measure how the biodiversity of birds varies with different percentages of greenspaces at local parks. This experimental data was taken on 10 non-consecutive days from October 9th, 2020 to October 20th, 2020. Observations on birds were made at 5 local parks that ranged in the percentages of greenspace. The average percent of greenspace in a specific park was estimated by randomly placing 5, 50m trancests and using a 0.5m by 0.5m quadrat to measure the percentage of greenspace every 1m. Randomization of transects was conducted by using a digital random number generator to generate a number from 1-300 and walk that many steps. This was repeated 5 times and each time the direction was alternated by using a digital random direction generator. The site at which observations would take place were randomly selected using a random number generator. Observations were taken twice in a single day at two times of the day, one at 8:30AM and one at 4:30PM. This was repeated twice for each site and each observation was taken for a duration of 1 hour. Identification of birds was made using the iNaturalist app and website. Photographs of birds were also taken to help identify unknown bird species. <br>
DOI: 10.6084/m9.figshare.13125698.v1
title: Balcony Birdwatching Field Data

description: In this data set each row on the data sheet represents a species level observation. The purpose of this data is to measure how the biodiversity of birds varies with different percentages of greenspaces at local parks. This experimental data was taken on 10 non-consecutive days from October 9th, 2020 to October 20th, 2020. Observations on birds were made at 5 local parks that ranged in the percentages of greenspace. The average percent of greenspace in a specific park was estimated by randomly placing 5, 50m trancests and using a 0.5m by 0.5m quadrat to measure the percentage of greenspace every 1m. Randomization of transects was conducted by using a digital random number generator to generate a number from 1-300 and walk that many steps. This was repeated 5 times and each time the direction was alternated by using a digital random direction generator. The site at which observations would take place were randomly selected using a random number generator. Observations were taken twice in a single day at two times of the day, one at 8:30AM and one at 4:30PM. This was repeated twice for each site and each observation was taken for a duration of 1 hour. Identification of birds was made using the iNaturalist app and website. Photographs of birds were also taken to help identify unknown bird species. <br>
DOI: 10.26188/13122623
title: Raw Data for DL model development in "A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction"

description: This is the raw data used for the development of DL models in the paper "A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction".The data is structured for each grid cell in individual csv files. The first column in the csv files contains the name of the flood events followed by the variable names, and the remaining columns contain the time series data of that variable for that event. Each csv file was used to develop one DL model.
DOI: 10.26188/13122623.v1
title: Raw Data for DL model development in "A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction"

description: This is the raw data used for the development of DL models in the paper "A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction".The data is structured for each grid cell in individual csv files. The first column in the csv files contains the name of the flood events followed by the variable names, and the remaining columns contain the time series data of that variable for that event. Each csv file was used to develop one DL model.
DOI: 10.25573/data.13125725.v1
title: Data from AWHI Symposium Funk List Project

description: Datasets about the scientific women on the Funk List including counts of their mentions in the Smithsonian Annual Reports, their publication count and the number of pages in each Annual Report from 1846-1999.
DOI: 10.25573/data.13125725
title: Data from AWHI Symposium Funk List Project

description: Datasets about the scientific women on the Funk List including counts of their mentions in the Smithsonian Annual Reports, their publication count and the number of pages in each Annual Report from 1846-1999.
DOI: 10.25573/data.13125734
title: American Women's History Initiative Symposium Project word counts

description: Top 100 nouns from each year of the Smithsonian Annual Reports from 1846-1999. Data were generated using the Natural Language Processing workflow in spaCy with the lg English model.
DOI: 10.25573/data.13125743.v1
title: American Women's History Initiative Symposium Project first names

description: Dataset with top 10 traditionally "men's" and "women's" names extracted from each of 4 Smithsonian Annual Reports (1920, 1950, 1970, 1990). Names were extracted using NER in spaCy using the lg English model and curated by hand.
DOI: 10.25573/data.13125743
title: American Women's History Initiative Symposium Project first names

description: Dataset with top 10 traditionally "men's" and "women's" names extracted from each of 4 Smithsonian Annual Reports (1920, 1950, 1970, 1990). Names were extracted using NER in spaCy using the lg English model and curated by hand.
DOI: 10.3886/e112439v1-46580
title: Replication data for: Asymmetric Information, Adverse Selection and Online Disclosure: The Case of eBay Motors

description: Since Akerlof (1970), economists have understood the adverse selection problem that information asymmetries can create in used goods markets. The remarkable growth in online used goods auctions thus poses a puzzle. Part of the solution is that sellers voluntarily disclose their private information on the auction web page. This defines a precise contract -- to deliver the car shown for the closing price -- which helps protect the buyer from adverse selection. I test this theory using data from eBay Motors, finding that online disclosures are important price determinants, and that disclosure costs impact both the level of disclosure and prices. (JEL D44, D82, L81)
DOI: 10.3886/e114532v1-46581
title: Replication data for: Examining Medicaid Expansion and the Treatment of Substance Use Disorders

description: As the drug epidemic continues to cripple communities and disrupt our country, identifying and understanding state and federal policies which have helped alleviate the burden of substance use disorders (SUDs) is imperative. In 2010, the passage of the Patient Protection and Affordable Care Act (ACA) expanded health coverage and services offered to millions of Americans. Prior to the ACA, treatment for substance use disorders was not included in all medical coverage. We examine the brief literature on ACA Medicaid Expansion and SUDs and complement this literature by including the effects on measures of supply and efficacy of SUD treatment.
DOI: 10.3886/e114516v1-46582
title: Replication data for: Four Years Later: Insurance Coverage and Access to Care Continue to Diverge between ACA Medicaid Expansion and Non-Expansion States

description: This paper evaluates the impact of the Affordable Care Act Medicaid expansions four years after implementation using data from the 2010-2017 National Health Interview Survey. We find that low-income adults in states that implemented the Medicaid expansions experienced increases in insurance and Medicaid coverage and improvements in access to health care across several measures.
DOI: 10.3886/e108625v1-46600
title: Unionization rates by Commuting Zone in the United States

description: This is a computation of predicted unionization rates by 1990 Commuting Zones in the United States. The predictions are for the year 2000.<br><br> Issue: union status is available in the Current Population Survey (Outgoing Rotation Groups), but the CPS does not have county identifiers for the whole population, which are necessary to assign the CZ a CPS respondent lives in. Moreover, even with access to restricted CPS data files, the CPS is meant to be representative at the state level, so estimates at the CZ level may not be accurate. <br><br> Solution: use the CPS Merged Outgoing Rotation Groups (CPS MORG) from 2000 to estimate the probability of being unionized by state, sex, age group and 3-digit industry. Then, use the Quarterly Workforce Indicators (QWI) to get employment figures by county, sex, age group and 3-digit industry. Impute the estimated probability from the CPS MORG at the state, sex, age group and 3-digit industry. Assign each county to its CZ. Then compute weighted average of probability of being unionized by CZ, where employment counts are used as weights. <br>
description: Employed individuals in the United States from the private or government sector (excluding self-employed or without pay).<br>.
DOI: 10.3886/e119152v1-46620
title: Data and Code for: Venture Capital’s Role in Financing Innovation: How far we have come and how much we still need to learn

description: In this paper, we argue that despite the innovation and growth generated by the venture capital (VC) industry, VC also has very real limitations in advancing substantial technological change. We identify three main issues: (1) The very narrow band of technological innovations that fits the requirements of institutional VC investors, (2) the relatively small number of VC investors who hold and shape the direction of a substantial fraction of capital that is deployed into financing radical technological change, and (3) The relaxation of the intense emphasis on corporate governance by VCs in recent years.<br><br>We begin by tracing the growth of the institutional venture capital industry. We then highlight how technological and institutional changes in the past two decades have narrowed the focus of and concentrated the capital invested by VCs. We highlight recent research examining the potential real effects that these changes can have. We end by speculating on potential adaptations to the venture capital model might enable a broader base of ideas and technologies to receive risk capital. <br>
description: Venture capital investments in the United States.
DOI: 10.3886/e113985v1-46621
title: Replication data for: The Economic Consequences of Family Policies: Lessons from a Century of Legislation in High-Income Countries

description: By the early 21st century, most high-income countries have put into effect a host of generous and virtually gender-neutral parental leave policies and family benefits, with the multiple goals of gender equity, higher fertility, and child development. What have been the effects? Proponents typically emphasize the contribution of family policies to the goals of gender equity and child development, enabling women to combine careers and motherhood, and altering social norms regarding gender roles. Opponents often warn that family policies may become a long-term hindrance to women's careers because of the loss of work experience and the higher costs to employers that hire women of childbearing age. We draw lessons from existing work and our own analysis on the effects of parental leave and other interventions aimed at aiding families. We present country- and micro-level evidence on the effects of family policy on gender outcomes, focusing on female employment, gender gaps in earnings, and fertility. Most estimates range from negligible to a small positive impact. But the verdict is far more positive for the beneficial impact of spending on early education and childcare.
DOI: 10.6084/m9.figshare.13125053.v1
title: R0311_20191107a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.13125053
title: R0311_20191107a_videos

description: Rat 0311, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5517/ccdc.csd.cc2551s6
title: CCDC 2000857: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Simon H. F. Schreiner, Philipp Schüler, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13072|doi:10.1039/D0DT01923B
DOI: 10.5517/ccdc.csd.cc2551t7
title: CCDC 2000858: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Simon H. F. Schreiner, Philipp Schüler, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13072|doi:10.1039/D0DT01923B
DOI: 10.5517/ccdc.csd.cc2551v8
title: CCDC 2000859: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Simon H. F. Schreiner, Philipp Schüler, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13072|doi:10.1039/D0DT01923B
DOI: 10.5517/ccdc.csd.cc2551w9
title: CCDC 2000860: Experimental Crystal Structure Determination

description: Related Article: Andreas Rösch, Simon H. F. Schreiner, Philipp Schüler, Helmar Görls, Robert Kretschmer|2020|Dalton Trans.|49|13072|doi:10.1039/D0DT01923B
DOI: 10.5517/ccdc.csd.cc25592r
title: CCDC 2001083: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Meera Mehta, Mauricio P. Franco, John E. McGrady, Jose M. Goicoechea|2020|Chem.-Eur.J.|26|13462|doi:10.1002/chem.202002226
DOI: 10.5517/ccdc.csd.cc25593s
title: CCDC 2001084: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Meera Mehta, Mauricio P. Franco, John E. McGrady, Jose M. Goicoechea|2020|Chem.-Eur.J.|26|13462|doi:10.1002/chem.202002226
DOI: 10.5517/ccdc.csd.cc25594t
title: CCDC 2001085: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Meera Mehta, Mauricio P. Franco, John E. McGrady, Jose M. Goicoechea|2020|Chem.-Eur.J.|26|13462|doi:10.1002/chem.202002226
DOI: 10.5517/ccdc.csd.cc25595v
title: CCDC 2001086: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Meera Mehta, Mauricio P. Franco, John E. McGrady, Jose M. Goicoechea|2020|Chem.-Eur.J.|26|13462|doi:10.1002/chem.202002226
DOI: 10.5517/ccdc.csd.cc25596w
title: CCDC 2001087: Experimental Crystal Structure Determination

description: Related Article: Daniel W. N. Wilson, Meera Mehta, Mauricio P. Franco, John E. McGrady, Jose M. Goicoechea|2020|Chem.-Eur.J.|26|13462|doi:10.1002/chem.202002226
DOI: 10.5517/ccdc.csd.cc258j66
title: CCDC 2004187: Experimental Crystal Structure Determination

description: Related Article: Martin Drøhse Kilde, Line Broløs, Mads Mansø, Josefine Mogensen, Christian Gregers Tortzen, Mogens Brøndsted Nielsen|2020|Chem.-Eur.J.|26|13429|doi:10.1002/chem.202002469
DOI: 10.5517/ccdc.csd.cc25bzm4
title: CCDC 2006556: Experimental Crystal Structure Determination

description: Related Article: Supattra Somsri, Naoto Kuwamura, Tatsuhiro Kojima, Nobuto Yoshinari, Takumi Konno|2020|Chemical Science|11|9246|doi:10.1039/D0SC03925J
DOI: 10.5517/ccdc.csd.cc25c1zl
title: CCDC 2006629: Experimental Crystal Structure Determination

description: Related Article: Min Li, Guan-Cheng Xu, Wen-Bo Xin, Yin-Qiang Zhang|2020|Polyhedron|189|114725|doi:10.1016/j.poly.2020.114725
DOI: 10.5517/ccdc.csd.cc25c591
title: CCDC 2006732: Experimental Crystal Structure Determination

description: Related Article: Zhong-Xia Wang, Hua Zhang, Fang Wang, Hao Cheng, Wen-Hui He, Yu-Hua Liu, Xue-Qin Huang, Peng-Fei Li|2020|J.Am.Chem.Soc.|142|12857|doi:10.1021/jacs.0c06064
DOI: 10.5517/ccdc.csd.cc25cbsp
title: CCDC 2006902: Experimental Crystal Structure Determination

description: Related Article: haitao Yuan|2020|CSD Communication|||
DOI: 10.6084/m9.figshare.13125719.v2
title: BIOL 3250 Birdwatching Field Experiment Dataset with Meta-data - Ethan Owen

description: The following study took place on October 21<sup>st</sup>, 2020. The data was collected in the Humber ravine, near the Humber river in Ontario Canada. The goal of the study was to go out to the ravine and refine skills learned in the pilot experiment in order to get a better understand of how to correctly go out and execute a proper field study. When in the correct area the goal was to identify as many of the local species of birds found in that location as well as take notes on their behaviour and the habitat they were found in, this time noticing any patterns in their movement correlated to temperate change. From this, a dataset was made along with meta-data (describing the column heading of the dataset) and published to fig share in order to contribute to open science learning.<br>
DOI: 10.6084/m9.figshare.13125719
title: BIOL 3250 Birdwatching Field Experiment Dataset with Meta-data - Ethan Owen

description: The following study took place on October 21<sup>st</sup>, 2020. The data was collected in the Humber ravine, near the Humber river in Ontario Canada. The goal of the study was to go out to the ravine and refine skills learned in the pilot experiment in order to get a better understand of how to correctly go out and execute a proper field study. When in the correct area the goal was to identify as many of the local species of birds found in that location as well as take notes on their behaviour and the habitat they were found in, this time noticing any patterns in their movement correlated to temperate change. From this, a dataset was made along with meta-data (describing the column heading of the dataset) and published to fig share in order to contribute to open science learning.<br>
DOI: 10.6084/m9.figshare.13125719.v1
title: BIOL 3250 Birdwatching Field Experiment Dataset with Meta-data - Ethan Owen

description: The following study took place on October 21<sup>st</sup>, 2020. The data was collected in the Humber ravine, near the Humber river in Ontario Canada. The goal of the study was to go out to the ravine and refine skills learned in the pilot experiment in order to get a better understand of how to correctly go out and execute a proper field study. When in the correct area the goal was to identify as many of the local species of birds found in that location as well as take notes on their behaviour and the habitat they were found in, this time noticing any patterns in their movement correlated to temperate change. From this, a dataset was made along with meta-data (describing the column heading of the dataset) and published to fig share in order to contribute to open science learning.<br>
DOI: 10.17632/8k8xh86tr2.1
title: Data for: Multiple physical properties of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well

description: Data set for the manuscript entitled "Multiple physical properties of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well".
DOI: 10.17632/hkgz23ccsj.1
title: Data for: Survey Data for COVID-19 Vaccine Preference Analysis in the United Arab Emirates

description: Survey data collected between July 4 to August 4, 2020; and describing individuals preferences for COVID-19 vaccine in the United Arab Emirate (UAE). The data contains 1109 Observations, on 50 variables, and covers all 7 Emirates of the UAE. Further details are available upon request from the corresponding author at : https://business.aau.ac.ae/en/business/academic-staff/staff/view/321/