cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22008/fk2/yc7slb
title: Borehole electromagnetic survey, Maniitsoq Project, southern West Greenland, 2016

description: For description of data set see details on: Crone Geophysics borehole geophysic Maniitsoq survey, 2016.
DOI: 10.22008/fk2/yc7slb/iudvzo
title: GRF_100058_BHEM.zip

description: :unav
DOI: 10.15468/dl.vdd2ya
title: Occurrence Download

description: A dataset containing 1669002 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Achillea L.)"
 ]
}

 The dataset includes 1669002 records from 4505 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009185-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6345255
title: Chiral Photochemistry of Achiral Molecules: The Emblematic Case of Stilbene and Stiff-Stilbene

description: Supporting Data for Nature Communications article.
DOI: 10.5281/zenodo.6344995
title: Rapid discovery of novel materials by coordinate-free coarse graining

description: Prospective density function theory (DFT) calculations carried out on novel material structures predicted to be stable by the Wren model. In total 5,675 materials were selected for validation. Of these converged results were obtained for 4,721 structures. Calculations were conducting using the VASP DFT code with the settings and pseudopotentials selected such that the data is compatible with the Materials Project. A README file is included that describes how to load the data and the contents of the DataFrame.
description: The open source code for the Wren model is available and continues to be developed at: https://github.com/CompRhys/aviary
DOI: 10.18739/a2s756m43
title: EGRIP PSU gas data on warming events

description: Abrupt warming episodes during the last glacial termination were sampled from the EGRIP ice core. These ice samples were processed for elemental and isotopic gas measurements at Penn State. d15N data will be used to calibrate the warming episodes during the transition.
DOI: 10.5517/ccdc.csd.cc27ncfq
title: CCDC 2075153: Experimental Crystal Structure Determination

description: Related Article: Asesh Das, Biswajit Roy, Barlina Konwar, Aiyagari Ramesh, Gopal Das|2022|Cryst.Growth Des.|22|1778|doi:10.1021/acs.cgd.1c01371
DOI: 10.5517/ccdc.csd.cc27ncgr
title: CCDC 2075154: Experimental Crystal Structure Determination

description: Related Article: Asesh Das, Biswajit Roy, Barlina Konwar, Aiyagari Ramesh, Gopal Das|2022|Cryst.Growth Des.|22|1778|doi:10.1021/acs.cgd.1c01371
DOI: 10.5517/ccdc.csd.cc27nchs
title: CCDC 2075155: Experimental Crystal Structure Determination

description: Related Article: Asesh Das, Biswajit Roy, Barlina Konwar, Aiyagari Ramesh, Gopal Das|2022|Cryst.Growth Des.|22|1778|doi:10.1021/acs.cgd.1c01371
DOI: 10.5517/ccdc.csd.cc27ncjt
title: CCDC 2075156: Experimental Crystal Structure Determination

description: Related Article: Asesh Das, Biswajit Roy, Barlina Konwar, Aiyagari Ramesh, Gopal Das|2022|Cryst.Growth Des.|22|1778|doi:10.1021/acs.cgd.1c01371
DOI: 10.5517/ccdc.csd.cc27nckv
title: CCDC 2075157: Experimental Crystal Structure Determination

description: Related Article: Asesh Das, Biswajit Roy, Barlina Konwar, Aiyagari Ramesh, Gopal Das|2022|Cryst.Growth Des.|22|1778|doi:10.1021/acs.cgd.1c01371
DOI: 10.5517/ccdc.csd.cc27qdjx
title: CCDC 2077109: Experimental Crystal Structure Determination

description: Related Article: Asesh Das, Biswajit Roy, Barlina Konwar, Aiyagari Ramesh, Gopal Das|2022|Cryst.Growth Des.|22|1778|doi:10.1021/acs.cgd.1c01371
DOI: 10.5517/ccdc.csd.cc27qlvf
title: CCDC 2077305: Experimental Crystal Structure Determination

description: Related Article: Prasad P. Phadnis, Ananda S. Hodage and Amey Wadawale|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc27y41d
title: CCDC 2083573: Experimental Crystal Structure Determination

description: Related Article: Anton Kovalenko, Lyubov O. Tcelykh, Daniil Koshelev, Andrey A. Vashchenko, Dmitry M. Tsymbarenko, Alexander S. Goloveshkin, Aleksey Aleksandrov, Anatolii Burlov, Valentina V. Utochnikova|2022|Dalton Trans.|51|3833|doi:10.1039/D1DT04033B
DOI: 10.5517/ccdc.csd.cc27y42f
title: CCDC 2083574: Experimental Crystal Structure Determination

description: Related Article: Anton Kovalenko, Lyubov O. Tcelykh, Daniil Koshelev, Andrey A. Vashchenko, Dmitry M. Tsymbarenko, Alexander S. Goloveshkin, Aleksey Aleksandrov, Anatolii Burlov, Valentina V. Utochnikova|2022|Dalton Trans.|51|3833|doi:10.1039/D1DT04033B
DOI: 10.5517/ccdc.csd.cc27yczk
title: CCDC 2083819: Experimental Crystal Structure Determination

description: Related Article: Intissar Hamdi, Yeasin Khan, Fatma Aouaini, Jung Hwa Seo, Hyun-Joo Koo, Mark M. Turnbull, Bright Walker, Houcine Naïli|2022|J.Mater.Chem.C|10|3738|doi:10.1039/D1TC05047H
DOI: 10.5517/ccdc.csd.cc2828f2
title: CCDC 2087553: Experimental Crystal Structure Determination

description: Related Article: Peng Chen, Lili Qiu, Ping Yin, Chunlin He, Siping Pang, Jean’ne M. Shreeve|2022|Chem.Commun.|58|2874|doi:10.1039/D2CC00215A
DOI: 10.5517/ccdc.csd.cc2828h4
title: CCDC 2087555: Experimental Crystal Structure Determination

description: Related Article: Peng Chen, Lili Qiu, Ping Yin, Chunlin He, Siping Pang, Jean’ne M. Shreeve|2022|Chem.Commun.|58|2874|doi:10.1039/D2CC00215A
DOI: 10.5517/ccdc.csd.cc2828k6
title: CCDC 2087557: Experimental Crystal Structure Determination

description: Related Article: Peng Chen, Lili Qiu, Ping Yin, Chunlin He, Siping Pang, Jean’ne M. Shreeve|2022|Chem.Commun.|58|2874|doi:10.1039/D2CC00215A
DOI: 10.5517/ccdc.csd.cc285gyw
title: CCDC 2090638: Experimental Crystal Structure Determination

description: Related Article: Qi Zhang, Mingying Shi, Xueling Mi, Sanzhong Luo|2022|Org.Chem.Front.|9|1276|doi:10.1039/D1QO01748A
DOI: 10.5517/ccdc.csd.cc28bj5b
title: CCDC 2095481: Experimental Crystal Structure Determination

description: Related Article: Monika Wałęsa-Chorab, Kacper Muras, Heather L. Filiatrault, W. G. Skene|2022|J.Mater.Chem.C|10|3691|doi:10.1039/D1TC03388C
DOI: 10.5517/ccdc.csd.cc28bts7
title: CCDC 2095779: Experimental Crystal Structure Determination

description: Related Article: Takayuki Itabashi, Kazuya Arashiba, Hiromasa Tanaka, Kazunari Yoshizawa, Yoshiaki Nishibayashi|2021|Organometallics|41|366|doi:10.1021/acs.organomet.1c00597
DOI: 10.5517/ccdc.csd.cc28btt8
title: CCDC 2095780: Experimental Crystal Structure Determination

description: Related Article: Takayuki Itabashi, Kazuya Arashiba, Hiromasa Tanaka, Kazunari Yoshizawa, Yoshiaki Nishibayashi|2021|Organometallics|41|366|doi:10.1021/acs.organomet.1c00597
DOI: 10.5517/ccdc.csd.cc28btv9
title: CCDC 2095781: Experimental Crystal Structure Determination

description: Related Article: Takayuki Itabashi, Kazuya Arashiba, Hiromasa Tanaka, Kazunari Yoshizawa, Yoshiaki Nishibayashi|2021|Organometallics|41|366|doi:10.1021/acs.organomet.1c00597
DOI: 10.6084/m9.figshare.19341815
title: Syrinx morphometry and sound frequency evaluation

description: This raw dataset present Syrinx morphometry and sound frequency evaluation during chirping period in Lovebirds (Agapornis fischeri)
DOI: 10.6084/m9.figshare.19341815.v1
title: Syrinx morphometry and sound frequency evaluation

description: This raw dataset present Syrinx morphometry and sound frequency evaluation during chirping period in Lovebirds (Agapornis fischeri)
DOI: 10.6084/m9.figshare.18382925.v2
title: Syrinx morphometry and sound frequency evaluation

description: This raw dataset present Syrinx morphometry and sound frequency evaluation during chirping period in Lovebirds (Agapornis fischeri)
DOI: 10.6084/m9.figshare.18382925
title: Syrinx morphometry and sound frequency evaluation

description: This raw dataset present Syrinx morphometry and sound frequency evaluation during chirping period in Lovebirds (Agapornis fischeri)
DOI: 10.6084/m9.figshare.18382925.v3
title: Syrinx morphometry and sound frequency evaluation

description: This raw dataset present Syrinx morphometry and sound frequency evaluation during chirping period in Lovebirds (Agapornis fischeri)
DOI: 10.6073/pasta/a9c49adfceb9c80d1b4492e881281354
title: Mummichog (Fundulus heteroclitus) caloric value analysis from various collections along Rowley River tidal creeks associated with long term fertilization experiments, Rowley, MA.

description: At PIE, mummichog (Fundulus heteroclitus) use the spring-cycle high tides to access the flooded high marsh platform and eat invertebrate prey, coupling the high marsh and aquatic creek food webs by gathering energy produced on the high marsh and making it available to the aquatic food web. Changes in the geomorphology of saltmarsh creek edges greatly influence the survival, biomass, and resource use of mummichog populations. Here, we use bomb calorimetry to assess individual mummichog caloric content per gram of biomass at 4 PIE creeks known to present different geomorphologic patterns in their low marsh zones. These data can be used for the assessment of the impact of low marsh geomorphology on mummichog caloric content and energy production in PIE food webs. These data were included as part of two studies “Habitat decoupling via saltmarsh creek geomorphology alters connection between spatially-coupled food webs” (Lesser et al. 2020) and “Cross-habitat access modifies the ‘trophic relay’ in New England saltmarsh ecosystems” (Lesser et al. 2021).
DOI: 10.5281/zenodo.6338506
title: SmartEmbed Code Clone Analysis of 200 000 Smart Contracts

description: A dataset consisting of the code clone analysis for 200 000 Ethereum Smart Contracts via the code clone detection tool SmartEmbed (state as is at commit 32ec1cd) . Each Smart Contract has been tested for a similarity threshold of 95% similarity and a threshold of 100% similarity. The result folder offers 255 CSV files, all containing the colums: counter,id of the contract, result for 95%, result for 100%.<br> Possible results for the colum 'result for 95%' are '95' (identified as a code clone with at least 95% similarity), '0' (not a code clone) and null (SmartEmbed returned an error). Similarily for the colum 'result for 100%'. The folder 'Additional_output_per_batch' contains additional data for each batch in .txt files (runtime, ratio of clones to non clones, number of errounous responses, id's of the contracts that could not be analyzed).
DOI: 10.25345/c5vt1gs9c
title: MassIVE MSV000089040 - Philippine-lung-cancer-serum_glycoproteomics
title: Serum N-glycoproteomics of Filipino lung cancer (26) and healthy volunteers (22) using dynamic MRM
DOI: 10.5281/zenodo.6345265
title: Example datasets for the IDSL.CCDB scripts

description: These datasets are provided as example files for IDSL.CCDB scripts.
DOI: 10.5281/zenodo.6345264
title: Example datasets for the IDSL.CCDB scripts

description: These datasets are provided as example files for IDSL.CCDB scripts.
DOI: 10.5281/zenodo.6345295
title: SmartEmbed Code Clone Analysis of 200 000 Smart Contracts

description: A dataset consisting of the code clone analysis for 200 000 Ethereum Smart Contracts via the code clone detection tool SmartEmbed (state as is at commit 32ec1cd) . Each Smart Contract has been tested for a similarity threshold of 95% similarity and a threshold of 100% similarity. The result folder offers 255 CSV files, all containing the colums: counter,id of the contract, result for 95%, result for 100%.<br> Possible results for the colum 'result for 95%' are '95' (identified as a code clone with at least 95% similarity), '0' (not a code clone) and null (SmartEmbed returned an error). Similarily for the colum 'result for 100%'. The folder 'Additional_output_per_batch' contains additional data for each batch in .txt files (runtime, ratio of clones to non clones, number of errounous responses, id's of the contracts that could not be analyzed).
DOI: 10.5281/zenodo.6338505
title: SmartEmbed Code Clone Analysis of 200 000 Smart Contracts

description: A dataset consisting of the code clone analysis for 200 000 Ethereum Smart Contracts via the code clone detection tool SmartEmbed (state as is at commit 32ec1cd) . Each Smart Contract has been tested for a similarity threshold of 95% similarity and a threshold of 100% similarity. The result folder offers 255 CSV files, all containing the colums: counter,id of the contract, result for 95%, result for 100%.<br> Possible results for the colum 'result for 95%' are '95' (identified as a code clone with at least 95% similarity), '0' (not a code clone) and null (SmartEmbed returned an error). Similarily for the colum 'result for 100%'. The folder 'Additional_output_per_batch' contains additional data for each batch in .txt files (runtime, ratio of clones to non clones, number of errounous responses, id's of the contracts that could not be analyzed).
DOI: 10.6084/m9.figshare.3761562.v2153
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: 10.6084/m9.figshare.16598564
title: Increasing student engagement and comprehension of the global water cycle through game-based learning in undergraduate courses

description: Understanding the global water cycle is fundamental to Earth systems literacy and fostering an informed citizenry; however, students often struggle with terminology, the role of key processes, and estimating the physical and temporal scales, leaving knowledge gaps that impair comprehension. The Hydrologic Cycle Game is a pedagogical tool for teaching students about the global water cycle through game-based learning. It familiarizes students with terminology related to transport, fluxes, and storage, using box models to understand complex cycles and visualize invisible processes, and introduces students to the concept of residence time. It was developed for university undergraduates but could be used in other educational settings. When deploying this activity in-class, it is helpful to introduce students to the vocabulary and the concept of box models prior to game play; a short lecture or prerecorded video was sufficient. One game typically takes 5–10 min to play, and, in the author’s experience, engagement increases when students have the opportunity to play multiple times. Student comprehension of terminology, connections, and directions of flow was assessed using pre and posttests. Scores increased significantly (p 0.8), and learning gains persisted through mid-semester evaluations. The data collected indicate that the Hydrologic Cycle Game is an effective tool for teaching the global water cycle. Supplemental data for this article is available online at https://doi.org/10.1080/10899995.2021.1977030
DOI: 10.6084/m9.figshare.16598564.v2
title: Increasing student engagement and comprehension of the global water cycle through game-based learning in undergraduate courses

description: Understanding the global water cycle is fundamental to Earth systems literacy and fostering an informed citizenry; however, students often struggle with terminology, the role of key processes, and estimating the physical and temporal scales, leaving knowledge gaps that impair comprehension. The Hydrologic Cycle Game is a pedagogical tool for teaching students about the global water cycle through game-based learning. It familiarizes students with terminology related to transport, fluxes, and storage, using box models to understand complex cycles and visualize invisible processes, and introduces students to the concept of residence time. It was developed for university undergraduates but could be used in other educational settings. When deploying this activity in-class, it is helpful to introduce students to the vocabulary and the concept of box models prior to game play; a short lecture or prerecorded video was sufficient. One game typically takes 5–10 min to play, and, in the author’s experience, engagement increases when students have the opportunity to play multiple times. Student comprehension of terminology, connections, and directions of flow was assessed using pre and posttests. Scores increased significantly (p 0.8), and learning gains persisted through mid-semester evaluations. The data collected indicate that the Hydrologic Cycle Game is an effective tool for teaching the global water cycle. Supplemental data for this article is available online at https://doi.org/10.1080/10899995.2021.1977030
DOI: 10.6084/m9.figshare.16598564.v1
title: Increasing student engagement and comprehension of the global water cycle through game-based learning in undergraduate courses

description: Understanding the global water cycle is fundamental to Earth systems literacy and fostering an informed citizenry; however, students often struggle with terminology, the role of key processes, and estimating the physical and temporal scales, leaving knowledge gaps that impair comprehension. The Hydrologic Cycle Game is a pedagogical tool for teaching students about the global water cycle through game-based learning. It familiarizes students with terminology related to transport, fluxes, and storage, using box models to understand complex cycles and visualize invisible processes, and introduces students to the concept of residence time. It was developed for university undergraduates but could be used in other educational settings. When deploying this activity in-class, it is helpful to introduce students to the vocabulary and the concept of box models prior to game play; a short lecture or prerecorded video was sufficient. One game typically takes 5–10 min to play, and, in the author’s experience, engagement increases when students have the opportunity to play multiple times. Student comprehension of terminology, connections, and directions of flow was assessed using pre and posttests. Scores increased significantly (p 0.8), and learning gains persisted through mid-semester evaluations. The data collected indicate that the Hydrologic Cycle Game is an effective tool for teaching the global water cycle. Supplemental data for this article is available online at https://doi.org/10.1080/10899995.2021.1977030
DOI: 10.5281/zenodo.6338380
title: Refactoring Debt: Myth or Reality? An Exploratory Study on the Relationship Between Technical Debt and Refactoring

description: This is the dataset that accompanies the study: "<strong>Refactoring Debt: Myth or Reality? An Exploratory Study on the Relationship Between Technical Debt and Refactoring</strong>." This study has been accepted for publication at the 2022 Mining Software Repositories Conference. <strong><em>Following is the abstract of the study:</em></strong> To meet project timelines or budget constraints, developers intentionally deviate from writing optimal code to feasible code in what is known as incurring \textit{Technical Debt} (TD). Furthermore, as part of planning their correction, developers document these deficiencies as comments in the code (i.e., self-admitted technical debt or SATD). As a means of improving source code quality, developers often apply a series of refactoring operations to their codebase. In this study, we explore developers repaying this debt through refactoring operations by examining occurrences of SATD removal in the code of 76 open-source Java systems. Our findings show that TD payment usually occurs with refactoring activities and developers refactor their code to remove TD for specific reasons. We envision our findings supporting vendors in providing tools to better support developers in the automatic repayment of technical debt.
description: This study is part of the work conducted by the Source Code Analysis And Natural Language Laboratory. For more information about what we do and to download the preprint of this study, visit: https://scanl.org/
DOI: 10.25345/c5r20s05z
title: MassIVE MSV000089041 - Philippine-lung-cancer-serum_glycomics
title: Serum N-glycomics of Filipino lung cancer (26) and healthy volunteers (22) using chip-QToF
DOI: 10.6084/m9.figshare.19341905
title: HighSLA_Argo_interpolated

description: Interpolated argo data for high-SLA profiles
DOI: 10.6084/m9.figshare.19341908
title: LowSLA_Argo_interpolated

description: interpolated argo data for low-SLA profiles
DOI: 10.6084/m9.figshare.19341908.v1
title: LowSLA_Argo_interpolated

description: interpolated argo data for low-SLA profiles
DOI: 10.5281/zenodo.6345299
title: Merops pusillus decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6345298
title: Merops pusillus decontaminated FSCR

description: .
DOI: 10.25773/9gjp-yc79
title: King & Queen County: Tidal Marsh Inventory
DOI: 10.5281/zenodo.6345333
title: Questionnair responses for 1221 participants

description: Questionnaire responses for 1221 participants
DOI: 10.5281/zenodo.6331136
title: Questionnair responses for 1221 participants

description: Questionnaire responses for 1221 participants
DOI: 10.6084/m9.figshare.19330610
title: Adolescent Wave 1 Data.sav

description: This is a cross-sectional dataset of US adolescents, collected in Spring 2021. Participants completed measures of school context, satisfaction with school, social connection, media use, and mental health. <br>
DOI: 10.5066/p9dnjck7
title: Coseismic surface displacement and fault zone width measurements in the 2019 Ridgecrest earthquakes from WorldView optical image correlation

description: (1) Lateral displacement measurements made based on optical image correlation results from WorldView satellite images along with (2) local and regional rupture width measurements for the 2019 Mw6.4 and Mw7.1 Ridgecrest earthquakes, CA. These datasets are associated with the publication: Gold, R. D., DuRoss, C. B., &amp; Barnhart, W. D., 2021, Coseismic surface displacement in the 2019 Ridgecrest earthquakes: Comparison of field measurements and optical image correlation results. Geochemistry, Geophysics, Geosystems, 22, e2020GC009326. https://doi.org/10.1029/2020GC009326
DOI: 10.5517/ccdc.csd.cc28kwqg
title: CCDC 2102566: Experimental Crystal Structure Determination

description: Related Article: Danfeng Wang, Hai Huang, Xiaolin Zhu|2022|Chem.Commun.|58|3529|doi:10.1039/D1CC07315J
DOI: 10.25773/qev2-jf24
title: King William County Tidal Marsh Inventory
DOI: 10.5517/ccdc.csd.cc28mwng
title: CCDC 2104486: Experimental Crystal Structure Determination

description: Related Article: David Hall, Kleitos Stavrou, Eimantas Duda, Andrew Danos, Sergey Bagnich, Stuart Warriner, Alexandra M. Z. Slawin, David Beljonne, Anna Köhler, Andrew Monkman, Yoann Olivier, Eli Zysman-Colman|2022|Materials Horizons|9|1068|doi:10.1039/D1MH01383A
DOI: 10.5517/ccdc.csd.cc28mwph
title: CCDC 2104487: Experimental Crystal Structure Determination

description: Related Article: David Hall, Kleitos Stavrou, Eimantas Duda, Andrew Danos, Sergey Bagnich, Stuart Warriner, Alexandra M. Z. Slawin, David Beljonne, Anna Köhler, Andrew Monkman, Yoann Olivier, Eli Zysman-Colman|2022|Materials Horizons|9|1068|doi:10.1039/D1MH01383A
DOI: 10.6084/m9.figshare.19341995
title: data for time series analysis

description: data for the time series analysis in the main text
DOI: 10.5066/p9kp2np4
title: Target-Chemical Concentration Results for Assessment of Mixed-Organic/Inorganic Chemical and Biological Exposures in North Dakota and South Dakota Tapwater, 2019

description: Concentration and quality assurance results for organic compounds and bioassay endocrine activity results analyzed at the U.S. Geological Survey National Water Quality Laboratory, Denver, Colorado, Organic Chemistry Research Laboratory, Sacramento, California, the Organic Geochemistry Research Laboratory, Lawrence, Kansas, and the U.S. Environmental Protection Agency, Office of Research and Development, Center for Public Health and Environmental Assessment, Public Health and Integrated Toxicology Division, Durham, North Carolina, for the 2019 tapwater study conducted in North Dakota and South Dakota, USA. This project is part of the U.S. Geological Survey, Ecosystems Mission Area, Environmental Health Water and Wastewater Infrastructure Project.