cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12993923.v1
title: Ningxin-I Large Yellow Croaker SNP Array Raw Data and Scripts

description: Ningxin-I Large Yellow Croaker SNP Array Raw Data and Scripts
DOI: 10.6084/m9.figshare.9641588
title: Pre-service teachers’ understanding of probabilistic fairness: analysis of decisions around task design

description: Probability education has fast become a contested area, with curriculum authorities in some countries recently suspending its introduction until the post-primary years. In other countries, children as young as 7 years are introduced to informal probability concepts. These recent international shifts in practice have contributed to a paucity of attention to the understandings of probability among pre-service and practising teachers. This presents implications for teacher educators who seek to provide opportunities for pre-service teachers (PSTs) to develop appropriate knowledge for teaching. This paper reports on the probabilistic understandings of a sample of 104 elementary PSTs. It focuses on one particular aspect of this knowledge – understanding of probabilistic fairness. The study examines the approaches taken by PSTs when designing fair and unfair activities for use in the primary classroom. We place particular attention on the variety of random generators selected and the features of the activities designed by PSTs to illustrate fairness. Almost half of participants successfully designed fair and unfair activities for three different random generators. Particular random generators, namely playing cards, dice and coins presented more challenge and less successful outcomes. The findings provide an initial step in unravelling the complexities of understanding probabilistic fairness and serve to inform the design of curriculum experiences in probability instruction in initial teacher education (ITE) contexts.
DOI: 10.6084/m9.figshare.9641588.v1
title: Pre-service teachers’ understanding of probabilistic fairness: analysis of decisions around task design

description: Probability education has fast become a contested area, with curriculum authorities in some countries recently suspending its introduction until the post-primary years. In other countries, children as young as 7 years are introduced to informal probability concepts. These recent international shifts in practice have contributed to a paucity of attention to the understandings of probability among pre-service and practising teachers. This presents implications for teacher educators who seek to provide opportunities for pre-service teachers (PSTs) to develop appropriate knowledge for teaching. This paper reports on the probabilistic understandings of a sample of 104 elementary PSTs. It focuses on one particular aspect of this knowledge – understanding of probabilistic fairness. The study examines the approaches taken by PSTs when designing fair and unfair activities for use in the primary classroom. We place particular attention on the variety of random generators selected and the features of the activities designed by PSTs to illustrate fairness. Almost half of participants successfully designed fair and unfair activities for three different random generators. Particular random generators, namely playing cards, dice and coins presented more challenge and less successful outcomes. The findings provide an initial step in unravelling the complexities of understanding probabilistic fairness and serve to inform the design of curriculum experiences in probability instruction in initial teacher education (ITE) contexts.
DOI: 10.18434/mds2-2302
title: Cover smart, do your part, slow the spread. My Stay-at-Home Lab Shows How Face Coverings Can Slow the Spread of Disease
DOI: 10.5517/ccdc.csd.cc13by8n
title: CCDC 1023411: Experimental Crystal Structure Determination

description: Related Article: R.F. Mulagaleev, D.Y. Leshok, A.K. Starkov, A.N. Matsulev, S.D. Kirik|2016|CSD Communication|||
description: Related Article: Darya Yu. Leshok, Ruslan F. Mulagaleev, Aleksander K. Starkov, Aleksander N. Matsulev, Sergey D. Kirik|2014|SFU Journal Chem.|7|383|
description: Related Article: R. F. Mulagaleev, D. Y. Leshok, A. K. Starkov, A. N. Matsulev, S. D. Kirik|2017|J.Chem.|2017|3695141|doi:10.1155/2017/3695141
DOI: 10.5517/ccdc.csd.cc13by9p
title: CCDC 1023412: Experimental Crystal Structure Determination

description: Related Article: R.F. Mulagaleev, D.Y. Leshok, A.K. Starkov, A.N. Matsulev, S.D. Kirik|2016|CSD Communication|||
description: Related Article: Darya Yu. Leshok, Ruslan F. Mulagaleev, Aleksander K. Starkov, Aleksander N. Matsulev, Sergey D. Kirik|2014|SFU Journal Chem.|7|383|
description: Related Article: R. F. Mulagaleev, D. Y. Leshok, A. K. Starkov, A. N. Matsulev, S. D. Kirik|2017|J.Chem.|2017|3695141|doi:10.1155/2017/3695141
DOI: 10.5517/ccdc.csd.cc13bybq
title: CCDC 1023413: Experimental Crystal Structure Determination

description: Related Article: R.F. Mulagaleev, D.Y. Leshok, A.K. Starkov, A.N. Matsulev, S.D. Kirik|2016|CSD Communication|||
description: Related Article: Darya Yu. Leshok, Ruslan F. Mulagaleev, Aleksander K. Starkov, Aleksander N. Matsulev, Sergey D. Kirik|2014|SFU Journal Chem.|7|383|
description: Related Article: R. F. Mulagaleev, D. Y. Leshok, A. K. Starkov, A. N. Matsulev, S. D. Kirik|2017|J.Chem.|2017|3695141|doi:10.1155/2017/3695141
DOI: 10.5517/ccdc.csd.cc13bycr
title: CCDC 1023414: Experimental Crystal Structure Determination

description: Related Article: R.F. Mulagaleev, D.Y. Leshok, A.K. Starkov, A.N. Matsulev, S.D. Kirik|2016|CSD Communication|||
description: Related Article: Darya Yu. Leshok, Ruslan F. Mulagaleev, Aleksander K. Starkov, Aleksander N. Matsulev, Sergey D. Kirik|2014|SFU Journal Chem.|7|383|
description: Related Article: R. F. Mulagaleev, D. Y. Leshok, A. K. Starkov, A. N. Matsulev, S. D. Kirik|2017|J.Chem.|2017|3695141|doi:10.1155/2017/3695141
DOI: 10.5517/ccdc.csd.cc13byds
title: CCDC 1023415: Experimental Crystal Structure Determination

description: Related Article: R.F. Mulagaleev, D.Y. Leshok, A.K. Starkov, A.N. Matsulev, S.D. Kirik|2016|CSD Communication|||
description: Related Article: Darya Yu. Leshok, Ruslan F. Mulagaleev, Aleksander K. Starkov, Aleksander N. Matsulev, Sergey D. Kirik|2014|SFU Journal Chem.|7|383|
description: Related Article: R. F. Mulagaleev, D. Y. Leshok, A. K. Starkov, A. N. Matsulev, S. D. Kirik|2017|J.Chem.|2017|3695141|doi:10.1155/2017/3695141
DOI: 10.5517/ccdc.csd.cc21h0f0
title: CCDC 1891261: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Arup Bhowmik, Sumit Das, Aiswarya Balaram Sulekha, Aniket Mishra, Indubhusan Deb|2020|Org.Biomol.Chem.|18|7074|doi:10.1039/D0OB01212B
DOI: 10.5517/ccdc.csd.cc21h0g1
title: CCDC 1891262: Experimental Crystal Structure Determination

description: Related Article: Writhabrata Sarkar, Arup Bhowmik, Sumit Das, Aiswarya Balaram Sulekha, Aniket Mishra, Indubhusan Deb|2020|Org.Biomol.Chem.|18|7074|doi:10.1039/D0OB01212B
DOI: 10.5517/ccdc.csd.cc24kgnv
title: CCDC 1982997: Experimental Crystal Structure Determination

description: Related Article: Jonathan C. Golec, Eve M. Carter, John W. Ward, William G. Whittingham, Luis Simón, Robert S. Paton, Darren J. Dixon|2020|Angew.Chem.,Int.Ed.|59|17417|doi:10.1002/anie.202006202
DOI: 10.5517/ccdc.csd.cc249jss
title: CCDC 1975375: Experimental Crystal Structure Determination

description: Related Article: Tiebo Xiao|2020|CSD Communication|||
description: Related Article: Jianhua Yang, Shaoqi Xiong, Yongsheng Ren, Tiebo Xiao, Yubo Jiang|2020|Org.Biomol.Chem.|18|7174|doi:10.1039/D0OB00435A
DOI: 10.6084/m9.figshare.11882424
title: Database-upload.xlsx

description: Manuscript database (Mol Ecol)
DOI: 10.6084/m9.figshare.12222731
title: Reference table detailing individual datasets used in ADGAPP.

description: Reference table detailing individual datasets used in ADGAPP.
DOI: 10.6084/m9.figshare.12222731.v2
title: Reference table detailing individual datasets used in ADGAPP.

description: Reference table detailing individual datasets used in ADGAPP.
DOI: 10.6084/m9.figshare.12222731.v1
title: Reference table detailing individual datasets used in ADGAPP.

description: Reference table detailing individual datasets used in ADGAPP.
DOI: 10.7910/dvn/hrggne/7wmln5
title: small business_cybersecurity_checklist-2020-2021.xls

description: :unav
DOI: 10.7910/dvn/8gmguz/fjdcvk
title: small business_cybersecurity_checklist-2020-2021.xls

description: small business_cybersecurity_checklist-2020-2021.xls
DOI: 10.7910/dvn/8gmguz/msx4m7
title: small_business_cybersecurity_checklist-2020-2021.tab

description: :unav
DOI: 10.25405/data.ncl.12993812
title: Data_Izadi et al_CO2 reducing biofilm.xlsx

description: The dataset includes the data of the figures in the scientific paperThe datafile includes the data obtained from the study focusing on the formation of a highly conductive biofilm, able to convert carbon dioxide to organic compounds in bio-electrochemical system through microbial electrosynthesis, which is used in the paper with the title of "Parameters influencing the development of highly conductive and efficient biofilm during microbial electrosynthesis: the importance of applied potential and inorganic carbon source"currently in press in npj biofilms and microbiomes.
DOI: 10.25405/data.ncl.12993812.v2
title: Data_Izadi et al_CO2 reducing biofilm.xlsx

description: The dataset includes the data of the figures in the scientific paperThe datafile includes the data obtained from the study focusing on the formation of a highly conductive biofilm, able to convert carbon dioxide to organic compounds in bio-electrochemical system through microbial electrosynthesis, which is used in the paper with the title of "Parameters influencing the development of highly conductive and efficient biofilm during microbial electrosynthesis: the importance of applied potential and inorganic carbon source"currently in press in npj biofilms and microbiomes.
DOI: 10.25405/data.ncl.12993812.v1
title: Data_PanizIzadi.xlsx

description: The dataset includes the data of the figures in the scientific paperThe datafile includes the data obtained from the study focusing on the formation of a highly conductive biofilm, able to convert carbon dioxide to organic compounds in bio-electrochemical system through microbial electrosynthesis, which is used in the paper with the title of "Parameters influencing the development of highly conductive and efficient biofilm during microbial electrosynthesis: the importance of applied potential and inorganic carbon source"currently in press in npj biofilms and microbiomes.
DOI: 10.6084/m9.figshare.12994061.v1
title: Data of "Study on the infiltration process and infiltration quantity estimation of meltwater during the soil thawing period in seasonal frozen soil areas"

description: Data of soil moisture and temperature
DOI: 10.6084/m9.figshare.12994061
title: Data of "Study on the infiltration process and infiltration quantity estimation of meltwater during the soil thawing period in seasonal frozen soil areas"

description: Data of soil moisture and temperature
DOI: 10.6084/m9.figshare.12993434
title: R0229_20181026a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12993434.v1
title: R0229_20181026a_videos

description: Rat 0229, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12994121.v1
title: Transposon clusters as substrates for aberrant splice-site activation

description: Transposed elements (TEs) have dramatically shaped evolution of the exon-intron structure and significantly contributed to morbidity, but how recent TE invasions into older TEs cooperate in generating new coding sequences is poorly understood. Employing an updated repository of new exon-intron boundaries induced by pathogenic mutations, termed DBASS, here we identify novel TE clusters that facilitated exon selection. To explore the extent to which such TE exons maintain RNA secondary structure of their progenitors, we carried out structural studies with a composite exon that was derived from a long terminal repeat (LTR78) and <i>Alu</i>J and was activated by a C &gt; T mutation optimizing the 5ʹ splice site. Using a combination of SHAPE, DMS and enzymatic probing, we show that the disease-causing mutation disrupted a conserved <i>Alu</i>J stem that evolved from helix 3.3 (or 5b) of 7SL RNA, liberating a primordial GC 5ʹ splice site from the paired conformation for interactions with the spliceosome. The mutation also reduced flexibility of conserved residues in adjacent exon-derived loops of the central <i>Alu</i> hairpin, revealing a cross-talk between traditional and auxilliary splicing motifs that evolved from opposite termini of 7SL RNA and were approximated by Watson-Crick base-pairing already in organisms without spliceosomal introns. We also identify existing <i>Alu</i> exons activated by the same RNA rearrangement. Collectively, these results provide valuable TE exon models for studying formation and kinetics of pre-mRNA building blocks required for splice-site selection and will be useful for fine-tuning auxilliary splicing motifs and exon and intron size constraints that govern aberrant splice-site activation.
DOI: 10.5281/zenodo.4044649
title: Food reward chemistry explains a novel pollinator shift and vestigialization of long floral spurs in an orchid

description: Datasets generated during the study of sympatric populations of Satyrium longicauda.
DOI: 10.5281/zenodo.4044648
title: Food reward chemistry explains a novel pollinator shift and vestigialization of long floral spurs in an orchid

description: Datasets generated during the study of sympatric populations of Satyrium longicauda.
DOI: 10.5281/zenodo.4046180
title: RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization

description: This dataset is designed to be used in evaluation studies of regression test prioritization techniques. It includes 20 open-source Java projects from GitHub and over 100,000 logs of real-world build logs from TravisCI. The projects span a wide range with regard to size, number of contributors, and maturity of open-source Java projects available on GitHub. Futher, the dataset includes the results of baseline approaches to ease the comparison of new techniques applied to the dataset. A readme file with a more detailed description of the structure of the dataset is included. For even more information see the corresponding MSR 2020 publication. Versions: 2020-09-23 (version 1.1) Updated archived `deeplearning4j` repository with a fork that contains all of the original commits. Repository at the original GitHub location had been replaced. Defect identified by Daniel Elsner (Technische Universität München). Renamed root folder from MSR2 to rtp-torrent 2020-05-25 (version 1.0) Initial release
DOI: 10.5281/zenodo.3610998
title: RTPTorrent: An Open-source Dataset for Evaluating Regression Test Prioritization

description: This dataset is designed to be used in evaluation studies of regression test prioritization techniques. It includes 20 open-source Java projects from GitHub and over 100,000 logs of real-world build logs from TravisCI. The projects span a wide range with regard to size, number of contributors, and maturity of open-source Java projects available on GitHub. Futher, the dataset includes the results of baseline approaches to ease the comparison of new techniques applied to the dataset. A readme file with a more detailed description of the structure of the dataset is included. For even more information see the corresponding MSR 2020 publication. Versions: 2020-09-23 (version 1.1) Updated archived `deeplearning4j` repository with a fork that contains all of the original commits. Repository at the original GitHub location had been replaced. Defect identified by Daniel Elsner (Technische Universität München). Renamed root folder from MSR2 to rtp-torrent 2020-05-25 (version 1.0) Initial release
DOI: 10.6084/m9.figshare.12993443
title: R0230_20181016a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.6084/m9.figshare.12993443.v1
title: R0230_20181016a_videos

description: Rat 0230, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.7910/dvn/8gmguz/w1n7bd
title: small_business_cybersecurity_checklist-2020-2021.tab

description: :unav
DOI: 10.6084/m9.figshare.12994073
title: Fish mitochondrial cytochrome b (Freshwater origin), Partial sequence

description: Identification of freshwater and marine fish species sampled from a local market based on <i>Cyto b </i>gene sequence homology
DOI: 10.7284/138076
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise KM2002 using a Hawaii UHDAS instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138084
title: Anemometer data collected during research cruise KM2002 using a RM Young 85106 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138085
title: Anemometer data collected during research cruise KM2002 using a RM Young 85106 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138080
title: Barometer data collected during research cruise KM2002 using a Vaisala PTB220 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138081
title: Fluorometer data collected during research cruise KM2002 using a WET Labs WETStar instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138078
title: Gravimeter data collected during research cruise KM2002 using a Bell BGM-3 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138079
title: Gyrocompass data collected during research cruise KM2002 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138074
title: INS (Inertial Navigation System) data collected during research cruise KM2002 using a Applanix POS/MV-320 V4 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138075
title: Meteorological Station data collected during research cruise KM2002 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138082
title: Meteorological Station data collected during research cruise KM2002 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/138083
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise KM2002 using a General Oceanics 8050 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138071
title: Speedlog data collected during research cruise KM2002 using a Yokogawa EML500FA2 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138072
title: SSV (Sound Speed Velocimeter) data collected during research cruise KM2002 using a AML SV&P instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/138073
title: TSG (Thermosalinograph) data collected during research cruise KM2002 using a Sea-Bird SBE-45 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17632/fjz6zbkxvm.2
title: SARS-CoV-2 N-antigenemia dataset

description: Molecular assays on nasopharyngeal swabs remain the cornerstone of COVID-19 diagnostic. Despite massive worldwide efforts, the high technicalities of nasopharyngeal sampling and molecular assays, as well as scarce resources of reagents, limit our testing capabilities. Several strategies failed, to date, to fully alleviate this testing process (e.g. saliva sampling or antigen testing on nasopharyngeal samples). We assessed the performances of a new ELISA microplate assay, the COVID-19 Quantigene (AAZ France), quantifying SARS-CoV-2 nucleocapsid antigen (N-antigen) in serum or plasma. The specificity of this assay, determined on 63 non-COVID patients, was 98.4% (95% confidence interval [CI], 85.3 to 100). Sensitivity was determined on 227 serum samples from 167 patients with RT-PCR confirmed SARS-CoV-2 infection included in the French COVID and CoV-CONTACT cohorts. Sensitivity was 93.1% (95% CI, 84.7 to 100) within the first two weeks after symptoms onset. A subset of 73 COVID-19 patients had a serum collected within 24 hours following or preceding a positive nasopharyngeal swab. Among patients with a Ct value below 30 and 33 on the nasopharyngeal swab, only 1/50 and 4/67 tested negative for N-antigenemia, respectively. To our knowledge, this is the first demonstration of N-antigen blood accumulation during COVID-19. This could provide a valuable new option for COVID-19 diagnosis, only requiring a blood draw and easily scalable in all clinical laboratories.
DOI: 10.17632/zwnpkj888t.1
title: Biology and associated fungi of an emerging bark beetle pest, the sweetgum inscriber Acanthotomicus suncei

description: The sweetgum inscriber (SI) Acanthotomicus suncei Cognato is an emerging bark beetle pest that seriously damages American sweetgum trees (Liquidambar styraciflua) and Chinese sweetgum trees (L. formosana) in China. Since 2013, SI has killed more than 30,000 sweetgum trees in Shanghai and adjacent areas. In Shanghai, SI emerged from infested wood from April to September and exhibited two generations per year. Both the flying populations and those in colonized logs were female-biased. After the parental adult bored a gallery, the emergence of new adults required 73.37± 0.69 days at 30 °C and 163.46 ± 0.94 days at 20 °C. SI could not sustain population development at constant temperatures ≤ 15 °C. The fungi Geosmithia spp. and Phaeoacremonium tuscanum were common associates of SI. The results suggest that SI has a long flight periodicity, and its development is sensitive to low temperatures. Fungi associated with SI were not pathogenic to American sweetgum trees, but their presence as mutualists may support the beetle’s mass attack and thereby indirectly increase the probability of tree mortality. Our findings contribute to the prevention and control of this important emerging bark beetle pest