cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e163601v1
title: Code for: "Graduate Student Mental Health: Lessons from American Economics Departments"

description: Code that generates tables and figures found in the paper "Graduate Student Mental Health: Lessons from American Economics Departments." Data are confidential. Abstract:<br>We study the mental health of graduate students at 8 top-ranked economics PhD programs in the U.S. using clinically validated surveys. We find that 24.8% experience moderate or severe symptoms of depression or anxiety - more than two times the population average. Though our response rate was 45.1% and sample selection concerns exist, conservative lower bounds nonetheless suggest higher prevalence rates of such symptoms than in the general population. Mental health issues are especially prevalent at the end of the PhD program: 36.7% of students in years 6+ of their program experience moderate or severe symptoms of depression or anxiety, versus 21.2% of first-year students. 25.2% of economics students with these symptoms are in treatment, compared to 41.4% of graduate students in other programs. A similar percentage of economics students (40-50%) say they cannot honestly discuss mental health with advisers as say they cannot easily discuss non-academic career options with them. Only 26% find their work to be useful always or most of the time, compared to 70% of economics faculty and 63% of the working age population. We provide recommendations for students, faculty, and administrators on ways to improve graduate student mental health.
description: Response Rates: 45.1%
description: PhD students enrolled in one of 8 top-ranked economics PhD programs during the 2017-2018 academic year. Programs included:<br>Columbia University, Harvard University, University of Michigan, Massachusetts Institute of Technology (MIT), Princeton University, UC Berkeley, UC San Diego, and Yale University.
description: web-based survey;
DOI: 10.21223/p3/4lwcg4
title: Dataset for: Participatory mapping for long-term monitoring and red listing of cultivated potato populations in Cusco, Peru.

description: Biodiversity sustains a wide variety of genetic traits that are very valuable for the potato's adaption to changing environments and successful cultivation in the future. It is assumed that several factors are threatening biodiversity in the Andes. Without robust baselines and indicators used for reliable time lines, it is impossible to assess diversity loss or increase. Long-term studies in situ are necessary to distinguish short term fluctuation from general tendencies caused by environmental and socio-cultural shifts and to understand ongoing evolutionary principles within the potato genepool. Powerful tools are needed that facilitate the management, evolution and exchange of mainly oral transmitted traditional knowledge. Participatory mapping is such a tool where cognitive spatial knowledge is transformed into maps at grassroots level by trained community members. Local knowledge can be documented in context with social, political, biotic and abiotic factors and if accompanied with comprehensive capacity building and the application of robust indicators will strengthen the cross-generation knowledge exchange and sensitization towards land use shifts, resource dynamics affected by climate and societal related factors and pressure. Most local farmers practice traditional small scale agriculture with focus on potato production, partly organized in sectoral fellow systems. Because of the high biological diversity, coexistence of wild potato species and the extensive local knowledge owned by the potato farmers, communities of this study site contribute to generate knowledge on dynamics of potato diversity in situ and complement the diversity hotspot network ‘Chirapaq Ñan’ for long-term in situ monitoring of cultivated potato. This dataset contributes to i) elaborate robust baseline to assess spatial and temporal dynamics and distribution ranges of potato diversity within and among fields, families and altitudinal belts, ii) elaborate on the application of utilized diversity indexes for red listing of potato landraces and cultivar types. The dataset contains parcel and community maps, geographic distribution of cultivated potato populations, red listing of potato landraces and cultivar types and supplementary files (surveys, protocols) used for this study."
DOI: 10.6084/m9.figshare.17219432.v1
title: Data from: Co-occurrence of native white-tailed deer and invasive wild pigs: evidence for competition?

description: The RData file includes a list of 3 datasets used to model wild pig occurrence and density effects on white-tailed deer space use, diel activity overlap, and co-occurrence during 9 sampled months spanning an 18-month period during 2018 and 2019.
DOI: 10.25934/pr00008612
title: Ocular bacteria strains

description: Antimicrobial resistance (AMR) is a costly and serious threat to public health. AMR now ranks as a leading cause of mortality around the world, with 1.27 million deaths/year directly attributable to antibiotic-resistant bacterial infections. AMR is also a concerning issue in ophthalmology as ocular bacteria are becoming increasingly more resistant to first-line antimicrobial therapies leading to treatment failures that result in poor outcomes and serious morbid consequences such as blindness. 
The aim of this project is to characterize the genomic epidemiology and resistome of major ocular bacterial pathogens to understand the diversity of microbial species causing ocular bacterial infections and their distribution across different ocular sites.
DOI: 10.34740/kaggle/dsv/4671605
title: Masked Face Recognition Dataset
DOI: 10.6084/m9.figshare.17219432
title: Data from: Co-occurrence of native white-tailed deer and invasive wild pigs: evidence for competition?

description: The RData file includes a list of 3 datasets used to model wild pig occurrence and density effects on white-tailed deer space use, diel activity overlap, and co-occurrence during 9 sampled months spanning an 18-month period during 2018 and 2019.
DOI: 10.6084/m9.figshare.17219432.v3
title: Data from: Co-occurrence of native white-tailed deer and invasive wild pigs: evidence for competition?

description: The RData file includes a list of 3 datasets used to model wild pig occurrence and density effects on white-tailed deer space use, diel activity overlap, and co-occurrence during 9 sampled months spanning an 18-month period during 2018 and 2019.
DOI: 10.3886/e183442
title: Whither education? The long shadow of pre-unification school systems into Italy’s Liberal Age (1861 – 1911)

description: This paper contributes to the literature on the determinants of the expansion of mass schooling and the long-term legacy of educational institutions. Based on a new provincial-level dataset for Italy in the period 1861-1911, we argue that different models of schooling provision adopted by the different pre-unification polities influenced primary-education organization across macro-regions up to WWI. As a result, school access and the capability to generate literacy given current rates of enrolment differed substantially, with the Northern regions aiming to increase schooling for all, while the Centre and the South implemented a more elitist model.
DOI: 10.3886/e183442v1
title: Whither education? The long shadow of pre-unification school systems into Italy’s Liberal Age (1861 – 1911)

description: This paper contributes to the literature on the determinants of the expansion of mass schooling and the long-term legacy of educational institutions. Based on a new provincial-level dataset for Italy in the period 1861-1911, we argue that different models of schooling provision adopted by the different pre-unification polities influenced primary-education organization across macro-regions up to WWI. As a result, school access and the capability to generate literacy given current rates of enrolment differed substantially, with the Northern regions aiming to increase schooling for all, while the Centre and the South implemented a more elitist model.
DOI: 10.3886/e183442v2
title: Whither education? The long shadow of pre-unification school systems into Italy’s Liberal Age (1861 – 1911)

description: This paper contributes to the literature on the determinants of the expansion of mass schooling and the long-term legacy of educational institutions. Based on a new provincial-level dataset for Italy in the period 1861-1911, we argue that different models of schooling provision adopted by the different pre-unification polities influenced primary-education organization across macro-regions up to WWI. As a result, school access and the capability to generate literacy given current rates of enrolment differed substantially, with the Northern regions aiming to increase schooling for all, while the Centre and the South implemented a more elitist model.
DOI: 10.6084/m9.figshare.17219432.v2
title: Data from: Co-occurrence of native white-tailed deer and invasive wild pigs: evidence for competition?

description: The RData file includes a list of 3 datasets used to model wild pig occurrence and density effects on white-tailed deer space use, diel activity overlap, and co-occurrence during 9 sampled months spanning an 18-month period during 2018 and 2019.
DOI: 10.5283/epub.52946
title: Ato x Cas9gFoxP
DOI: 10.18419/darus-3262/1
title: Fig1bdata.xls

description: Success probability of measurement outcomes (yaxis) is plotted as a function of measurements (xaxis) (simulation data)
DOI: 10.18419/darus-3262/2
title: Fig1cdata.xls

description: Simulated bath spectrum for various measurement outcomes
DOI: 10.18419/darus-3262/3
title: Fig1ddata.xls

description: Simulated probe coherence decay with time
DOI: 10.18419/darus-3262/4
title: Fig2bdata.xls

description: Experimentally measured free induction decay of the probe coherence prior to and after measurements
DOI: 10.18419/darus-3262/5
title: Fig2cdata.xls

description: Experimentally measured ODMR spectrum prior to and after measurements
DOI: 10.18419/darus-3262/6
title: Fig3bdata.xls

description: Experimentally measured free induction decay of the probe coherence for different measurement cases
DOI: 10.18419/darus-3262/7
title: Fig3cdata.xls

description: Experimentally measured free induction decay of the probe coherence for different measurement cases
DOI: 10.18419/darus-3262/8
title: Fig4data.xls

description: Experimentally measured correlation of identical measurements as a function of waiting time.
DOI: 10.18419/darus-3262/10
title: Fig1ddata.tab

description: Simulated probe coherence decay with time
DOI: 10.18419/darus-3262/11
title: Fig1bdata.tab

description: Success probability of measurement outcomes (yaxis) is plotted as a function of measurements (xaxis) (simulation data)
DOI: 10.18419/darus-3262/12
title: Fig3cdata.tab

description: Experimentally measured free induction decay of the probe coherence for different measurement cases
DOI: 10.18419/darus-3262/13
title: Fig3bdata.tab

description: Experimentally measured free induction decay of the probe coherence for different measurement cases
DOI: 10.18419/darus-3262/9
title: Fig2bdata.tab

description: Experimentally measured free induction decay of the probe coherence prior to and after measurements
DOI: 10.18419/darus-3262/14
title: Fig2cdata.tab

description: Experimentally measured ODMR spectrum prior to and after measurements
DOI: 10.18419/darus-3262/15
title: Fig1cdata.CSV

description: Simulated bath spectrum for various measurement outcomes
DOI: 10.18419/darus-3262/16
title: Fig4data.tab

description: Experimentally measured correlation of identical measurements as a function of waiting time.
DOI: 10.18419/darus-3262/17
title: Fig1cdata.tab

description: :unav
DOI: 10.18419/darus-3262
title: Replication Data for: Anti-Zeno purification of spin baths by quantum probe measurements

description: Datasets to reproduce all plots in the paper. Each spreadsheet (xls file) contains the horizontal and vertical data of a subfigure. The experimental data is produced from the low temperature confocal microscopy setup measuring the fluorescence (photon count) of a color center in diamond under a resonant laser excitation using a inhouse Python software controlling the hardware and measuring the data. The simulation data is produced using the numerical diagonalization of the Hamiltonian dynamics using Matlab software. The research investigates post Zeno and Anti-Zeno effects in measurement cooled spin-baths.
DOI: 10.5517/ccdc.csd.cc28cngs
title: CCDC 2096575: Experimental Crystal Structure Determination

description: Related Article: Tahereh Sedaghat, Marjan Aminian, Soheila Abaee, Elham Hoveizi, Abbas Tarassoli, Azizollah Beheshti, David Morales-Morales|2022|J.Mol.Struct.|1275|134622|doi:10.1016/j.molstruc.2022.134622
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.cc28wfn8
title: CCDC 2111740: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Sharma, Jake Z. Essman, Eric N. Jacobsen|2021|Science|374|752|doi:10.1126/science.abm0386
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.cc28wfp9
title: CCDC 2111741: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Sharma, Jake Z. Essman, Eric N. Jacobsen|2021|Science|374|752|doi:10.1126/science.abm0386
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.cc28wfrc
title: CCDC 2111743: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Sharma, Jake Z. Essman, Eric N. Jacobsen|2021|Science|374|752|doi:10.1126/science.abm0386
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.cc28wfsd
title: CCDC 2111744: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Sharma, Jake Z. Essman, Eric N. Jacobsen|2021|Science|374|752|doi:10.1126/science.abm0386
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.cc28wftf
title: CCDC 2111745: Experimental Crystal Structure Determination

description: Related Article: Hayden A. Sharma, Jake Z. Essman, Eric N. Jacobsen|2021|Science|374|752|doi:10.1126/science.abm0386
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.7401540
title: FESOM2 Channel Data

description: Channel simulation data generated by the FESOM2 ocean model. LEITH uses a Leith viscosity parameterization and KBACK a kinematic backscatter eddy parameterization. Includes u and v velocities for 10 years (first year should be excluded due to spin up) as well as u and v dissipation tendencies via Leith viscosity (for LEITH) or both backscatter and dissipation tendencies of the kinematic backscatter parameterization (KBACK). For more details see Juricke, S., Danilov, S., Koldunov, N., Oliver, M., Sein, D. V., Sidorenko, D., et al. (2020). A kinematic kinetic energy backscatter parametrization: From implementation to global ocean simulations. <em>Journal of Advances in Modeling Earth Systems</em>, 12, e2020MS002175. https://doi.org/10.1029/2020MS002175
description: This data is a contribution to projects M3, L4, S1, and S2 of the Collaborative Research Centre TRR 181 "Energy Transfer in Atmosphere and Ocean" funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Project 274762653. The computational resources were supplied by the supercomputing facilities at the Alfred Wegener Institute in Bremerhaven.
DOI: 10.5517/ccdc.csd.cc299yvf
title: CCDC 2124735: Experimental Crystal Structure Determination

description: Related Article: Zohreh Alyaninezhad, Ahmadreza Bekhradnia, Reza Zibandeh Gorji, Sattar Arshadi, Sheida ahmadi, Masoomeh Zibandeh Gorji|2022|J.Mol.Struct.|2022|134607|doi:10.1016/j.molstruc.2022.134607
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.cc299yxh
title: CCDC 2124737: Experimental Crystal Structure Determination

description: Related Article: Zohreh Alyaninezhad, Ahmadreza Bekhradnia, Reza Zibandeh Gorji, Sattar Arshadi, Sheida ahmadi, Masoomeh Zibandeh Gorji|2022|J.Mol.Struct.|2022|134607|doi:10.1016/j.molstruc.2022.134607
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.cc2cyl97
title: CCDC 2203179: Experimental Crystal Structure Determination

description: Related Article: Mihir L. Bhowmik, Md. Abdullah Al Mamun, Shishir Ghosh, Vladimir N. Nesterov, Michael G. Richmond, Shariff E. Kabir, Herbert W. Roesky|2023|J.Organomet.Chem.|984|122574|doi:10.1016/j.jorganchem.2022.122574
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.cc2cylb8
title: CCDC 2203180: Experimental Crystal Structure Determination

description: Related Article: Mihir L. Bhowmik, Md. Abdullah Al Mamun, Shishir Ghosh, Vladimir N. Nesterov, Michael G. Richmond, Shariff E. Kabir, Herbert W. Roesky|2023|J.Organomet.Chem.|984|122574|doi:10.1016/j.jorganchem.2022.122574
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.cc2czyht
title: CCDC 2204487: Experimental Crystal Structure Determination

description: Related Article: Hui Cui, Yingxiang Ye, Ruibiao Lin, Yanshu Shi, Zeid A. Alothman, Osamah Alduhaish, Bin Wang, Jian Zhang, Banglin Chen|2022|Inorg.Chem.Front.|9|6527|doi:10.1039/D2QI01956F
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.cc2d1r5d
title: CCDC 2206213: Experimental Crystal Structure Determination

description: Related Article: Neng Wang, Jin-Bu Xu, Xiao-Huan Li, Xian-Li Zhou, Feng Gao|2022|Org.Lett.|24|8598|doi:10.1021/acs.orglett.2c03172
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.cc2d1r9j
title: CCDC 2206217: Experimental Crystal Structure Determination

description: Related Article: Neng Wang, Jin-Bu Xu, Xiao-Huan Li, Xian-Li Zhou, Feng Gao|2022|Org.Lett.|24|8598|doi:10.1021/acs.orglett.2c03172
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.cc2d1rcl
title: CCDC 2206219: Experimental Crystal Structure Determination

description: Related Article: Neng Wang, Jin-Bu Xu, Xiao-Huan Li, Xian-Li Zhou, Feng Gao|2022|Org.Lett.|24|8598|doi:10.1021/acs.orglett.2c03172
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.cc2d1s19
title: CCDC 2206240: Experimental Crystal Structure Determination

description: Related Article: Ruoqian Fan, Meiying Kuai, Dong Lin, Felix Bauer, Weiwei Fang|2022|Org.Lett.|24|8688|doi:10.1021/acs.orglett.2c03580
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.cc2d1s8j
title: CCDC 2206247: Experimental Crystal Structure Determination

description: Related Article: Ruoqian Fan, Meiying Kuai, Dong Lin, Felix Bauer, Weiwei Fang|2022|Org.Lett.|24|8688|doi:10.1021/acs.orglett.2c03580
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.