cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25810/x8nq-tb51
title: Data from "2021 State of Open at the University of Colorado Boulder" Report

description: This data set contains five data files that were used to produce the "2021 State of Open at the University of Colorado Boulder" report:

1. CUBoulderOAFund2013_2020.csv contains data from articles funded by the CU Boulder Libraries Open Access Fund from 2013 to 2020. This data was collected by CU Boulder Libraries personnel from successful applications to the Open Access Fund.

2. CUBoulderPublishedData2014_2020.csv contains data from the CU Boulder Faculty Reports of Professional Activities from 2014 to 2020. CU Boulder Libraries personnel coded this data for the variables provided.

3. CUBoulderTotalOAPublishing2012_2020.csv contains data on type of open access article from Unpaywall (https://unpaywall.org/) matched against data on articles authored by CU Boulder faculty from CU Boulder Elements (https://www.colorado.edu/fis/CUBE). CU Boulder Libraries personnel exported the data provided on July 22, 2021.

4. CUScholarContent20201231.csv contains data on all of the items in the CU Scholar institutional repository as of December 31, 2020. This data was exported by CU Boulder Libraries personnel from the CU Scholar (Samvera) software on December 31, 2020.

5. CUScholarTotalDownloads2020.csv contains data on total downloads of all CU Scholar content for each day from January 1, 2020 to December 31, 2020. This data was exported from Google Analytics by CU Libraries personnel.

The full report based on this data can be found here: https://doi.org/10.25810/3tmp-k869
DOI: 10.6073/pasta/76a9a1e1efd6a3c4f91b7c952cd28d2a
title: Infilled precipitation data for C1 chart recorder, 1952 - ongoing, daily

description: Precipitation data have been collected at the C1 climate station (3022 m asl) almost continuously from 1952 to the present. C1 is on locally level terrain on the southeastern flank of Niwot Ridge, 9.7 km east of the Continental Divide. Surrounding vegetation is closed-canopy subalpine conifer forest. Through 1964, precipitation was recorded using an unshielded U.S. Weather Bureau standard totalizing gauge, with observations manually recorded on an approximately weekly basis. The gauge was located in an open area with sparse tree cover adjacent to the forest proper. Starting in late 1961, daily precipitation has been recorded using a Belfort Universal weighing-bucket gauge with chart recorder in an 8-m diameter clearing in the forest; the forest provides natural shielding for the gauge. The two records were assessed for an impact of this station change on record homogeneity and merged (see Methods). Missing daily data were infilled and multiday records were parsed to dailies (see Methods).
DOI: 10.25345/c5bn86
title: MassIVE MSV000088081 - NSF IOS-1546899: Title: RESEARCH-PGR: Discovery and evaluation of inbred-specific and hybrid-specific regulatory modules
title: The goals of this project are to develop new approaches for using hierarchical regulatory networks to dissect variation between inbred parents and their heterotic hybrid.
DOI: 10.6084/m9.figshare.3761562.v1976
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6073/pasta/4478f48a6ff6cfc0b221cfa14a6a0dfa
title: Environmental, molecular, and life history data associated with ecological and evolutionary nematode responses to soil phosphorus availability, McMurdo Dry Valleys, Antarctica

description: Elemental stoichiometry is a useful theoretical framework for understanding the sources and controls on nutrient availability that can structure the composition, diversity, and life history of biotic communities. One such relationship, as postulated by the growth rate hypothesis (GRH), is that organismal development rate is positively linked to cellular phosphorus (P). To test the GRH as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) program, we examined the effects of phosphorus (P) availability both in situ and in vitro, on the evolution of growth and development of free-living soil nematodes (primarily Plectus murrayi) that occur in the McMurdo Dry Valleys of Antarctica. During the 2008-2009 austral summer, we collected soils from two glacial till sequences, the Ross Sea till and Taylor II till, occurring in the Lake Fryxell and Lake Bonney basins, respectively, of Taylor Valley. Through a variety of subsequent analyses, we generated the environmental, molecular, and life history trait data contained herein. In addition, this package contains body size and biomass data for nematodes isolated from soil samples collected during the 1999-2000 and 2004-2005 austral summers.
DOI: 10.5281/zenodo.5497632
title: Age-dependent extreme event exposure - data accompanying journal publication

description: This data set contains the essential files used as input for the analysis, intermediate files produced during the analysis, and the key output fields. The code of the analysis is available here: https://github.com/VUB-HYDR/2021_Thiery_etal_Science Input fields: - isimip.zip: Postprocessed ISIMIP2b simulation output. This data set is very similar to the data presented in Lange et al. (2020 Earth's Future) but includes selected additional impact models and scenarios (notably RCP8.5). This data set also includes the gridded population data. - GMT_50pc_manualoutput_4pathways.xlsx: Global mean temperature anomaly trajectories from the IPCC SR15 - wcde_data.xlsx: postprocessed cohort size data originally obtained from the Wittgenstein Centre Human Capital Data Explorer. - WPP2019_MORT_F16_1_LIFE_EXPECTANCY_BY_AGE_BOTH_SEXES.xlsx: Postprocessed life expectancy data originally obtained from the UNited Nations World Population Programme Intermediate files *only use if you're interested in reproducing the results*: - workspaces.zip: Postprocessed ISIMIP2b simulation output. These matlab workspaces contain data on land area annually exposed to extreme events which is stored in a format designed to speed up the analysis. - mw_isimip.mat: ISIMIP2 simulations metadata (e.g. model, gcm and rcp name per simulation) - mw_countries.mat: information on the countries used in the analysis (e.g. border polygon coordinates) - mw_exposure.mat: age-dependent exposure computed from the ISIMIP and population data - mw_exposure_pic.mat: pre-industrial control age-dependent exposure computed from the ISIMIP and population data - mw_exposure_pic_coldwaves.mat: pre-industrial control age-dependent exposure to coldwaves computed from the ISIMIP and population data Output of the analysis: - mw_output.mat: Matlab workspace containing all variables produced during the analysis presented in thepaper. Use this file if you wish to look up certain numbers or want to use the study results for further analysis.
DOI: 10.3886/e119446v127
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.5517/ccdc.csd.cc281h83
title: CCDC 2086804: Experimental Crystal Structure Determination

description: Related Article: Xiaogang chen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc281h94
title: CCDC 2086805: Experimental Crystal Structure Determination

description: Related Article: Xiaogang chen|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc281sch
title: CCDC 2087086: Experimental Crystal Structure Determination

description: Related Article: Wenxin Lu|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2820jx
title: CCDC 2087308: Experimental Crystal Structure Determination

description: Related Article: Anna E. Koziol, Liliana Mazur|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc2827l6
title: CCDC 2087527: Experimental Crystal Structure Determination

description: Related Article: Ma YuFan|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc282c80
title: CCDC 2087641: Experimental Crystal Structure Determination

description: Related Article: Liu Ruidong|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc282cc3
title: CCDC 2087644: Experimental Crystal Structure Determination

description: Related Article: Shuguang Zhou|2021|CSD Communication|||
description: Related Article: Weiping Wu, Shuaixin Fan, Tielei Li, Lili Fang, Benfa Chu, Jin Zhu|2021|Org.Lett.|23|5652|doi:10.1021/acs.orglett.1c01741
DOI: 10.5517/ccdc.csd.cc282cd4
title: CCDC 2087645: Experimental Crystal Structure Determination

description: Related Article: Shuguang Zhou|2021|CSD Communication|||
description: Related Article: Lili Fang, Shuaixin Fan, Weiping Wu, Tielei Li, Jin Zhu|2021|Chem.Commun.|57|7386|doi:10.1039/D1CC02576G
DOI: 10.5517/ccdc.csd.cc282cb2
title: CCDC 2087643: Experimental Crystal Structure Determination

description: Related Article: Shuguang Zhou|2021|CSD Communication|||
description: Related Article: Weiping Wu, Shuaixin Fan, Tielei Li, Lili Fang, Benfa Chu, Jin Zhu|2021|Org.Lett.|23|5652|doi:10.1021/acs.orglett.1c01741
DOI: 10.5517/ccdc.csd.cc282df6
title: CCDC 2087677: Experimental Crystal Structure Determination

description: Related Article: Erika Samolova|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc282dg7
title: CCDC 2087678: Experimental Crystal Structure Determination

description: Related Article: Victor B. Rybakov, Vitaly A. Shcherbinin, Olga   A. Ivanova, Igor   V. Trushkov|2021|CSD Communication|||
DOI: 10.5281/zenodo.5498363
title: Implications of sound velocities of natural topaz on the seismic L-discontinuity

description: This is the data for the paper "Implications of sound velocities of natural topaz on the seismic L-discontinuity".
DOI: 10.6084/m9.figshare.16598855.v1
title: Supplemental Digital Appendix 2

description: Survey results from 75 admission committee members on their experiences with the admissions committee portal and its impact on five key areas of the admissions process: mission fit, scoring, holistic review, efficiency, and transparency.
DOI: 10.6084/m9.figshare.16598855
title: Supplemental Digital Appendix 2

description: Survey results from 75 admission committee members on their experiences with the admissions committee portal and its impact on five key areas of the admissions process: mission fit, scoring, holistic review, efficiency, and transparency.
DOI: 10.5281/zenodo.5496060
title: SpeX NIR spectra and extinction curves

description: <strong>SpeX near-infrared spectra and measured extinction curves for a sample of Milky Way sightlines.</strong> <em>SpeX_spectra.zip</em> contains the SpeX near-infrared spectra of 15 comparison and 25 reddened O/B type Milky Way stars, that were used to measure extinction curves. <em>Data_files.zip</em> contains the data files of the stars in the format required by the code. <em>Ext_curves.zip</em> contains 15 measured extinction curves and the measured average diffuse Milky Way extinction curve. See the paper Decleir et al. (ApJ, submitted) for a detailed discussion of our method and results. See the associated <em>spex_nir_extinction GitHub repository </em>for the code, Tables and Figures.
DOI: 10.25810/axvt-0h32
title: The OMPS formaldehyde vertical column densities oversampled for an inverse modeling during the 2016 KORUS-AQ campaign

description: The OMPS formaldehyde vertical column densities and uncertainties (González Abad et al., 2016) were oversampled using a tessellation method (Zhu et al., 2014; Sun et al., 2018) for "an inversion framework for optimizing non-methane VOC emissions using remote sensing and airborne observations in Northeast Asia during the KORUS-AQ field campaign" (Choi et al., to be submitted). The data domain spans Korea and eastern China.

The data was calculated using the OMPS differential slant column densities, uncertainties, and averaging kernels, and the formaldehyde concentrations simulated by a 2°x2.5° GEOS-Chem simulation. The data was oversampled by 10-day sub-periods of the KORUS-AQ campaign in May-June 2016 into a 0.25°x0.3125° horizontal resolution. A uniform bias of the data (60%) was calculated and corrected using a method suggested by Zhu et al., 2020.

The data set is associated with the article "An inversion framework for optimizing non-methane VOC emissions using remote sensing and airborne observations in Northeast Asia during the KORUS-AQ field campaign (Choi et al., to be submitted)".
DOI: 10.18434/mds2-2453
title: Data describing an adhesive contact between a rigid spherical indenter and an elastic multi-layer coated substrate
DOI: 10.6084/m9.figshare.16598894
title: Why are aid projects less effective in Pacific - replication material

description: This material is associated with the paper, 'Why are aid projects less effective in the Pacific', which is being published in Development Policy Review.<br><br>The folder contains: the central dataset, a codebook, and a do file for replicating the main analysis.<br>
DOI: 10.6084/m9.figshare.16598894.v1
title: Why are aid projects less effective in Pacific - replication material

description: This material is associated with the paper, 'Why are aid projects less effective in the Pacific', which is being published in Development Policy Review.<br><br>The folder contains: the central dataset, a codebook, and a do file for replicating the main analysis.<br>
DOI: 10.25810/fbg8-td30
title: Top-down emissions of non-methane volatile organic compounds (VOCs) calculated by an inverse modeling during the 2016 KORUS-AQ campaign

description: 
            The data set provides two top-down emission inventories of non-methane volatile organic compounds (VOCs) calculated by a two-step Hybrid Iterative Finite Difference Mass Balance and four-dimensional variational method inversion system (Hybrid IFDMB-4DVar), which is developed by "an inversion framework for optimizing non-methane VOC emissions using remote sensing and airborne observations in Northeast Asia during the KORUS-AQ field campaign" (Choi et al., to be submitted). The data has a horizontal resolution of 0.25°x0.3125° and the domain covers Korea and Eastern China. The data includes emissions of CH2O, C2H4, C2H6, C3H8, large alkenes (PRPE), large alkanes (ALK4), benzene (BENZ), toluene (TOLU), xylene (XYLE), isoprene (ISOP), methyl ethyl ketone (MEK), acetone (ACET), and acetaldehyde (ALD2) from anthropogenic (_an), biogenic (_bg), and biomass burning (_bb) sources.
             
            A chemical transport model, GEOS-Chem, and its adjoint were used for the inverse modeling. The a priori emissions were taken from KORUSv5, MEGANv2.1, and QFEDv2.5 inventories. The CH2O measurements from two satellites (OMI and OMPS) and DC-8 aircraft during the 2016 KORUS-AQ campaign were utilized.

The data set is associated with the article "An inversion framework for optimizing non-methane VOC emissions using remote sensing and airborne observations in Northeast Asia during the KORUS-AQ field campaign (Choi et al., to be submitted)".
DOI: 10.5517/ccdc.csd.cc1zyz74
title: CCDC 1846057: Experimental Crystal Structure Determination

description: Related Article: Jiapeng Lu, Qianqian Pan, Senqiang Zhu, Rui Liu, Hongjun Zhu|2021|Inorg.Chem.|60|12835|doi:10.1021/acs.inorgchem.1c01142
DOI: 10.5517/ccdc.csd.cc1zyz85
title: CCDC 1846058: Experimental Crystal Structure Determination

description: Related Article: Jiapeng Lu, Qianqian Pan, Senqiang Zhu, Rui Liu, Hongjun Zhu|2021|Inorg.Chem.|60|12835|doi:10.1021/acs.inorgchem.1c01142
DOI: 10.5517/ccdc.csd.cc200m3s
title: CCDC 1847634: Experimental Crystal Structure Determination

description: Related Article: Jiapeng Lu, Qianqian Pan, Senqiang Zhu, Rui Liu, Hongjun Zhu|2021|Inorg.Chem.|60|12835|doi:10.1021/acs.inorgchem.1c01142
DOI: 10.5517/ccdc.csd.cc25yxnq
title: CCDC 2024754: Experimental Crystal Structure Determination

description: Related Article: Yadong Zhou, Yanhong Wang, Jiaojiao Cao, Zhuo Zeng, Taiping Zhou, Rongzhen Liao, Tao Wang, Zhenxing Wang, Zhengcai Xia, Zhongwen Ouyang, Hongcheng Lu|2021|Inorg.Chem.|60|13309|doi:10.1021/acs.inorgchem.1c01654
DOI: 10.5517/ccdc.csd.cc25yxpr
title: CCDC 2024755: Experimental Crystal Structure Determination

description: Related Article: Yadong Zhou, Yanhong Wang, Jiaojiao Cao, Zhuo Zeng, Taiping Zhou, Rongzhen Liao, Tao Wang, Zhenxing Wang, Zhengcai Xia, Zhongwen Ouyang, Hongcheng Lu|2021|Inorg.Chem.|60|13309|doi:10.1021/acs.inorgchem.1c01654
DOI: 10.5517/ccdc.csd.cc26ztmn
title: CCDC 2055412: Experimental Crystal Structure Determination

description: Related Article: Minghui Cui, Linpo Yang, Fengcai Li, Liming Zhou, Yinglin Song, Shao-Ming Fang, Cai-Ming Liu, Xi-Li Li|2021|Inorg.Chem.|60|13366|doi:10.1021/acs.inorgchem.1c01682
DOI: 10.6084/m9.figshare.16564815
title: r2SCAN, SCAN, and PBEsol calcluations for 6,307 solid materials

description: This data file contains density functional theory calculations for approximately 6,000 crystalline solid materials, each computed using the PBEsol, SCAN, and r2SCAN functionals. Note that <b>all DFT calculations contained here are also available via the Materials Project API Tasks endpoint </b>by querying for the `parameters["task_id"]` attribute of each ComputedStructureEntry (see below). These task_ids uniquely identify each individual DFT calculation. This data differs slightly from the data returned by the API in that it contains additional metadata pertaining to the computed bandgap, formation energy, degree of electron localization, and computational time for each material. The datafile is structured as a serialized list of python dictionaries which can be loaded into memory using the 'monty.serialization.loadfn' function. Each dictionary is similar to a 'materials document' object returned by the Materials Project API. This document contains information about the composition of the material and pymatgen ComputedStructureEntry objects for each of the three DFT calculations. Specifically, every document contains the following keys: · 'material_id' - the unique identifier of the material in the Materials Project Database. Note that this ID is distinct from the task_id associated with each ComputedStructureEntry. task_ids uniquely identify individual DFT calculations whereas the material_id uniquely identifies a material (i.e., a structure)<br> · 'formula_pretty' – the chemical formula of the material · 'elements’ – list of chemical elements in the material · 'nelements' – number of elements in the material (e.g. 2 for a binary material) · 'chemsys' – chemical system of the material (e.g. ‘Cl-Na’ for sodium chloride) · 'composition' – pymatgen Composition object for the material · 'entries' – dictionary of ComputedStructureEntry for each DFT calculation performed on this material. Keys are ‘r2scan`, `scan`, and `pbesol`. · 'compound_type' – Category of the material. ‘Weakly-bound’, ‘Strongly-bound’ or ‘U, Np, Pu’
DOI: 10.6084/m9.figshare.16564815.v1
title: r2SCAN, SCAN, and PBEsol calcluations for 6,307 solid materials

description: This data file contains density functional theory calculations for approximately 6,000 crystalline solid materials, each computed using the PBEsol, SCAN, and r2SCAN functionals. Note that <b>all DFT calculations contained here are also available via the Materials Project API Tasks endpoint </b>by querying for the `parameters["task_id"]` attribute of each ComputedStructureEntry (see below). These task_ids uniquely identify each individual DFT calculation. This data differs slightly from the data returned by the API in that it contains additional metadata pertaining to the computed bandgap, formation energy, degree of electron localization, and computational time for each material. The datafile is structured as a serialized list of python dictionaries which can be loaded into memory using the 'monty.serialization.loadfn' function. Each dictionary is similar to a 'materials document' object returned by the Materials Project API. This document contains information about the composition of the material and pymatgen ComputedStructureEntry objects for each of the three DFT calculations. Specifically, every document contains the following keys: · 'material_id' - the unique identifier of the material in the Materials Project Database. Note that this ID is distinct from the task_id associated with each ComputedStructureEntry. task_ids uniquely identify individual DFT calculations whereas the material_id uniquely identifies a material (i.e., a structure)<br> · 'formula_pretty' – the chemical formula of the material · 'elements’ – list of chemical elements in the material · 'nelements' – number of elements in the material (e.g. 2 for a binary material) · 'chemsys' – chemical system of the material (e.g. ‘Cl-Na’ for sodium chloride) · 'composition' – pymatgen Composition object for the material · 'entries' – dictionary of ComputedStructureEntry for each DFT calculation performed on this material. Keys are ‘r2scan`, `scan`, and `pbesol`. · 'compound_type' – Category of the material. ‘Weakly-bound’, ‘Strongly-bound’ or ‘U, Np, Pu’