cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/8kcq-3c7
title: Distribution of parvalbumin-positive interneurons in the normal adult rat brain

description: High-resolution bright-field microscopy images of horizontal brain sections showing parvalbumin positive neurons across the normal adult rat brain. The dataset consists of image series covering the entire brain from four Sprague Dawley female rats. For each brain, every fourth section was processed by diaminobenzidine (DAB) immunohistochemistry using a monoclonal parvalbumin (RRID:AB_477329) antibody.
DOI: 10.5517/ccdc.csd.cc283kts
title: CCDC 2088805: Experimental Crystal Structure Determination

description: Related Article: Hayato Sasaki, Yuki Yokouchi, Takumi Nukazawa, Takeaki Iwamoto|2021|Organometallics|40|2415|doi:10.1021/acs.organomet.1c00380
DOI: 10.5517/ccdc.csd.cc2853l5
title: CCDC 2090286: Experimental Crystal Structure Determination

description: Related Article: Hui-Min Zeng, Chao Wang, Wei-Hong Wu, Ling-Zhi Lv, Zhan-Guo Jiang, Cai-Hong Zhan, Yun-Long Feng|2021|Inorg.Chim.Acta|527|120553|doi:10.1016/j.ica.2021.120553
DOI: 10.5281/zenodo.5199526
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.15167586
title: Dataset of endogenized phage genes in Clostridium ljungdahlii DSM 13528

description: This work presents the set of endogenized phage genes in <i>Clostridium ljungdahlii </i>DSM 13528. Original data for the dataset was derived from annotated genome file of the microbe downloaded from GenBank, which was parsed and searched by an in-house MATLAB genome analysis software. The dataset comprises gene name, gene function, and gene sequence of each endogenized phage gene in the microbe. Overall, the data should serve as useful starter for initiating understanding of why particular phage genes remain endogenized in the host genome, and deciphering how evolutionary forces and host transposase has reshaped endogenized phage genes.
DOI: 10.6084/m9.figshare.15167586.v1
title: Dataset of endogenized phage genes in Clostridium ljungdahlii DSM 13528

description: This work presents the set of endogenized phage genes in <i>Clostridium ljungdahlii </i>DSM 13528. Original data for the dataset was derived from annotated genome file of the microbe downloaded from GenBank, which was parsed and searched by an in-house MATLAB genome analysis software. The dataset comprises gene name, gene function, and gene sequence of each endogenized phage gene in the microbe. Overall, the data should serve as useful starter for initiating understanding of why particular phage genes remain endogenized in the host genome, and deciphering how evolutionary forces and host transposase has reshaped endogenized phage genes.
DOI: 10.5281/zenodo.5199542
title: A temporally consistent 8-day 0.05° gap-free snow cover extent dataset over the Northern Hemisphere for the period 1981–2019

description: Northern Hemisphere (NH) snow cover extent (SCE) is one of the most important indicator of climate change for its unique surface property. However, short temporal coverage, coarse spatial resolution, and different snow discrimination approach among published SCE products hampers its detailed studies. Using the Advanced Very High Resolution Radiometer Surface Reflectance (AVHRR-SR) Climate Data Record (CDR) and several ancillary datasets, this study generated a temporally consistent 8-day 0.05° gap-free NH terrestrial SCE product for the period 1981–2019 as part of the Global LAnd Surface Satellite dataset (GLASS) product suite. This process consistent of five steps. First, a decision tree algorithm with multiple threshold tests was applied to detect SCE from daily AVHRR-SR CDR. Second, we merge two existing daily SCE products to take advantage of their spatial coverage. Third, an aggregation process was used to detect the maximum SCE in each 8-day periods. Forth, the GLASS SCE was generated with the help of snow cover probability climatology. Fifth, the validation process was carried out to evaluate the quality of GLASS SCE. Validation results by using 562 Global Historical Climatology Network stations during 1981–2017 (r=0.61, p&lt;0.05) and MOD10C2 during 2001–2019 (r=0.97, p&lt;0.01) proved that the GLASS SCE product is credible in snow cover frequency monitoring. Moreover, cross-comparison between GLASS SCE and surface albedo during 1982–2018 further confirmed its values in climate changes studies. The GLASS SCE contains 39 files. The files are organized by year and can be opened by using ENVI software. Spatial Coverage: N: 90, S: 0, E: 180, W: -180<br> Spatial Resolution: 0.05 deg x 0.05 deg<br> Samples = 7200<br> Lines = 1800<br> Temporal Coverage: September 1981 to December 2019<br> Temporal Resolution: 8-day
DOI: 10.5281/zenodo.5199517
title: Datasets Cured and Enriched with Provenance from the National Vaccination Campaign Against COVID-19

description: The COVID-19 pandemic is a global threat. If, on the one hand, weaccount for many losses, on the other hand, the generation of datasets and ur-gent analytical demands has accelerated. Among the combat strategies, vacci-nation and data-centered epidemiological investigations stand out. This datasetpaper presents the process of building cured and annotated datasets with prove-nance metadata. The main dataset is based on the registration data of the Vacci-nation Campaign against COVID-19 in Brazil. The dataset contains thousandsof records processed up to March 2021. The data were analyzed, investigated,treated and cross-checked with other sources, in order to correct and comple-ment them, resulting in cured datasets and aligned to the FAIR principles.
DOI: 10.5281/zenodo.5193919
title: Datasets Cured and Enriched with Provenance from the National Vaccination Campaign Against COVID-19

description: The COVID-19 pandemic is a global threat. If, on the one hand, weaccount for many losses, on the other hand, the generation of datasets and ur-gent analytical demands has accelerated. Among the combat strategies, vacci-nation and data-centered epidemiological investigations stand out. This datasetpaper presents the process of building cured and annotated datasets with prove-nance metadata. The main dataset is based on the registration data of the Vacci-nation Campaign against COVID-19 in Brazil. The dataset contains thousandsof records processed up to March 2021. The data were analyzed, investigated,treated and cross-checked with other sources, in order to correct and comple-ment them, resulting in cured datasets and aligned to the FAIR principles.
DOI: 10.5517/ccdc.csd.cc286s7j
title: CCDC 2091887: Experimental Crystal Structure Determination

description: Related Article: Kenji Caprice, Dávid Pál, Céline Besnard, Bartomeu Galmés, Antonio Frontera, Fabien B. L. Cougnon|2021|J.Am.Chem.Soc.|143|11957|doi:10.1021/jacs.1c06557
DOI: 10.5517/ccdc.csd.cc287994
title: CCDC 2092385: Experimental Crystal Structure Determination

description: Related Article: Li Na Quan, Yoonjae Park, Peijun Guo, Mengyu Gao, Jianbo Jin, Jianmei Huang, Jason K. Copper, Adam Schwartzberg, Richard Schaller, David T. Limmer, and Peidong Yang|2021|Proc.Nat.Acad.Sci.USA|118|e2104425118|doi:10.1073/pnas.2104425118
DOI: 10.6084/m9.figshare.15167715
title: Data for positional behavior of white-headed langurs

description: Information on positional behavior contributes to the understanding of the ecological adaptation mechanisms in animals. We collected data on the positional behavior of white-headed langurs (<i>Trachypithecus</i><i> leucocephalus</i>) at the Guangxi Chongzuo White-Headed Langur National Nature Reserve from September 2016 to August 2017 <i>via</i> instantaneous scan sampling method. This study aimed to examine the importance of positional behavioral flexibility in limestone forests characterized by seasonal variations in climate and food resources. Our results indicated that langurs adopted leaping (47.92% ± 5.50%) and vertical climbing (40.13% ± 6.20%) as their predominant locomotor modes and sitting (83.08% ± 4.70%) as their predominant posture. Their positional behavior exhibited marked seasonal variations. More specifically, langurs used quadrupedal walking more frequently during the dry season than during the rainy months. In the stationary state, they sat more frequently during the dry season, whereas they laid and suspended more often during the rainy season. Their positional behavior was affected by fruit availability, day length, and temperature. Quadrupedal walking increased with the decrease in fruit availability, whereas leaping was positively correlated with fruit availability. Moreover, sitting was positively correlated with average temperature but negatively correlated with day length. Lying was also negatively correlated with temperature but positively correlated with day length. We conclude that white-headed langurs adapt to limestone forests with positional behavior flexibility in response to seasonality. Our research provides evidence of the effects of food availability, ambient temperature, and day length on the positional behavior of white-headed langurs, highlighting the need to understand their behavioral ecology and the influence of ecological factors on behavioral adaptation.
DOI: 10.6084/m9.figshare.15167715.v1
title: Data for positional behavior of white-headed langurs

description: Information on positional behavior contributes to the understanding of the ecological adaptation mechanisms in animals. We collected data on the positional behavior of white-headed langurs (<i>Trachypithecus</i><i> leucocephalus</i>) at the Guangxi Chongzuo White-Headed Langur National Nature Reserve from September 2016 to August 2017 <i>via</i> instantaneous scan sampling method. This study aimed to examine the importance of positional behavioral flexibility in limestone forests characterized by seasonal variations in climate and food resources. Our results indicated that langurs adopted leaping (47.92% ± 5.50%) and vertical climbing (40.13% ± 6.20%) as their predominant locomotor modes and sitting (83.08% ± 4.70%) as their predominant posture. Their positional behavior exhibited marked seasonal variations. More specifically, langurs used quadrupedal walking more frequently during the dry season than during the rainy months. In the stationary state, they sat more frequently during the dry season, whereas they laid and suspended more often during the rainy season. Their positional behavior was affected by fruit availability, day length, and temperature. Quadrupedal walking increased with the decrease in fruit availability, whereas leaping was positively correlated with fruit availability. Moreover, sitting was positively correlated with average temperature but negatively correlated with day length. Lying was also negatively correlated with temperature but positively correlated with day length. We conclude that white-headed langurs adapt to limestone forests with positional behavior flexibility in response to seasonality. Our research provides evidence of the effects of food availability, ambient temperature, and day length on the positional behavior of white-headed langurs, highlighting the need to understand their behavioral ecology and the influence of ecological factors on behavioral adaptation.
DOI: 10.3886/e133002v1-93980
title: COVID-19 Stress and Eating and Drinking Behaviors in the United States during the Early Stages of the Pandemic

description: https://osf.io/myfts/
DOI: 10.5517/ccdc.csd.cc27v4r0
title: CCDC 2080712: Experimental Crystal Structure Determination

description: Related Article: T.E. Gorelik, S. Habermehl, A.A. Shubin, T. Gruene, K. Yoshida, P. Oleynikov, U. Kaiser, M.U. Schmidt|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|662|doi:10.1107/S2052520621006806
DOI: 10.6084/m9.figshare.15167724
title: city and county levels energy consumption

description: The data of city-and-county-level energy consumption and energy efficiency provided in this study are valuable with practical applications in the field of energy economics, management, and policy, including the following: First, the provided data have the characteristics of wide spatial coverage and long time span. This unique panel-structured dataset can be used to observe the trajectories and spatial differences of energy consumption and energy efficiency on a micro-level than at national and provincial levels. Therefore, it can also be used to analyze the factors driving the changes and spatial differences of energy consumption and energy efficiency in cities and counties. Second, the panel-structured dataset of energy consumption and energy efficiency can be used to match other economic data at the city and county levels, and studies such as the economic effects of energy consumption, the environmental and social effects of energy consumption, and the coupling relationship between energy efficiency and economic development may be conducted. Third, the development of energy consumption and energy efficiency data at the city and county levels can not only contribute to the energy management at China’s grassroot-level governments, such as in the formulation and implementation of road maps for energy transformation and energy efficiency improvement, but also provide a basis for the central and provincial governments to allocate the energy rights of cities and counties under the constraints of “carbon peak” and “carbon-neutral” targets. Fourth, the development of energy consumption and energy efficiency data at city and county levels could provide a more accurate assessment of the impact of the central government’s energy saving, emission reduction, and low-carbon green policies, as well as other socioeconomic policies, for example, assessment of the impact of the “central heating,” “coal to electricity,” low-carbon pilot city, and carbon emission trading right pilot policies on energy consumption and energy efficiency. Fifth, the method of retrieving micro-level energy consumption data by using satellite night-light data can also provide a reference for other developing countries and regions with limited energy statistics to evaluate their energy consumption and energy efficiency at the sub-national level.<br>
DOI: 10.6084/m9.figshare.15167766
title: 210813.xlsx

description: Astigmatism data in the Yamagata study (Funagata)<br>
DOI: 10.6080/k0vt1q93
title: Recordings and simulations of ECoG responses from rat auditory cortex during presentation of pure tone pips
title: CRCNS.org ac-7

description: This data set includes: 1.) µECoG data recorded from auditory cortex of anesthetized rats during presentation of pure tone pips. 4 recording sessions from 3 animals are included. Each recording session consisted of about 20 minutes of pure tone pips of varying amplitude and frequency delivered in a pseudorandom order. 2.) Simulated µECoG data from a cortical column modeled after rat cortex. The simulated column is stimulated with the same temporal structure as the tone pips used in the experimental recordings, enabling direct comparison of the simulated and experimental signals. The simulation dataset has two components: a. A series of simulations with increasing stimulation magnitude, which can be compared to the effect of increased amplitude in the experimental recordings b. A breakdown of one simulation by location of the signal’s generating sources (neuronal segments). The signal is broken down 1.) by anatomical layer of the generating source and 2.) by depth below the surface of the generating source. A set of scripts used to process the data can be found here: https://github.com/BouchardLab/OriginsOfECoG
DOI: 10.5517/ccdc.csd.cc26th4p
title: CCDC 2050282: Experimental Crystal Structure Determination

description: Related Article: Akira Hirose, Ayumu Watanabe, Kohei Ogino, Masanori Nagatomo, Masayuki Inoue|2021|J.Am.Chem.Soc.|143|12387|doi:10.1021/jacs.1c06450
DOI: 10.5517/ccdc.csd.cc28cfrv
title: CCDC 2096367: Experimental Crystal Structure Determination

description: Related Article: Xin-Yue Lou, Ying-Wei Yang|2021|J.Am.Chem.Soc.|143|11976|doi:10.1021/jacs.1c07006
DOI: 10.5439/1813007
title: ARM: Radiation instruments on ice (ICERAD)

description: prp
DOI: 10.5281/zenodo.5201315
title: Overseas Practicum Survey Results for Preservice Teachers

description: A survey from 12 teacher candidates in an overseas teaching practicum program. The survey was divided in preparation phase, practicum phase, and satisfaction of the whole program. The data table provides the descrpitive statistics.
DOI: 10.5281/zenodo.5201314
title: Overseas Practicum Survey Results for Preservice Teachers

description: A survey from 12 teacher candidates in an overseas teaching practicum program. The survey was divided in preparation phase, practicum phase, and satisfaction of the whole program. The data table provides the descrpitive statistics.
DOI: 10.25345/c5gv74
title: MassIVE MSV000087987 - Systematic Discovery and Validation of T Cell Targets Directed Against Oncogenic KRAS Mutations
title: Jaewon Choi, Scott P. Goulding, Brandon P. Conn, Christopher D. McGann, Jared L. Dietze, Jessica Kohler, Divya Lenkala, Antoine Boudot, Daniel A. Rothenberg, Paul J. Turcott, John R. Srouji, Kendra C. Foley, Michael S. Rooney, Marit M. van Buuren, Richard B. Gaynor, Jennifer G. Abelin, Terri A. Addona, and Vikram R. Juneja Oncogenic mutations in KRAS can be recognized by T cells on specific class I human leukocyte antigen (HLA-I) molecules, leading to tumor control. To date, the discovery of T cell targets from KRAS mutations has relied on occasional T cell responses in patient samples or the use of transgenic mice. To overcome these limitations, we developed a systematic target discovery and validation pipeline. We evaluated the presentation of mutant KRAS peptides on individual HLA-I molecules using targeted mass spectrometry (MS) and identified 13 unpublished KRASG12C/D/R/V mutation/HLA-I pairs and nine previously described pairs. We assessed immunogenicity, generating T cell responses to nearly all targets. Using cytotoxicity assays, we demonstrated that KRAS-specific T cells and T cell receptors (TCRs) specifically recognize endogenous KRAS mutations. The discovery and validation of T cell targets from KRAS mutations demonstrate the potential for this pipeline to aid the development of immunotherapies for important cancer targets.
DOI: 10.5517/ccdc.csd.cc1ysw0m
title: CCDC 1811361: Experimental Crystal Structure Determination

description: Related Article: Sohajl Movahhed, Julia Westphal, Alexander Kempa, Christian Eric Schumacher, Julia Sperlich, Jörg-Martin Neudörfl, Nicole Teusch, Matthias Hochgürtel, Hans-Günther Schmalz|2021|Chem.-Eur.J.|27|11574|doi:10.1002/chem.202101863
DOI: 10.5517/ccdc.csd.cc24ksk2
title: CCDC 1983304: Experimental Crystal Structure Determination

description: Related Article: Álvaro Velasco-Rubio, Rodrigo Bernárdez, Jesús A. Varela, Carlos Saá|2021|J.Org.Chem.|86|10889|doi:10.1021/acs.joc.1c01268
DOI: 10.5517/ccdc.csd.cc25nk7n
title: CCDC 2015751: Experimental Crystal Structure Determination

description: Related Article: Dongyao Li, Chunmiao Ma, Junfeng Xiang, Kai Zhang, Ling Yang, Quan Gan|2021|Chem.-Eur.J.|27|11663|doi:10.1002/chem.202101221
DOI: 10.5517/ccdc.csd.cc25nk9q
title: CCDC 2015753: Experimental Crystal Structure Determination

description: Related Article: Dongyao Li, Chunmiao Ma, Junfeng Xiang, Kai Zhang, Ling Yang, Quan Gan|2021|Chem.-Eur.J.|27|11663|doi:10.1002/chem.202101221
DOI: 10.5517/ccdc.csd.cc26bj25
title: CCDC 2035896: Experimental Crystal Structure Determination

description: Related Article: Ya Wang, Yao Zhou, Xingxing Ma, Qiuling Song|2021|Org.Lett.|23|5599|doi:10.1021/acs.orglett.1c01484
DOI: 10.5517/ccdc.csd.cc26t7dp
title: CCDC 2050042: Experimental Crystal Structure Determination

description: Related Article: Pengbo Zhang, Guo Yu, Ning Zhao, Shanshan Zhang, Minghui Zhang, Longyu Wang, Zhaoting Li, Jianxi Ying, Xia Gao|2021|J.Org.Chem.|86|10105|doi:10.1021/acs.joc.1c00828
DOI: 10.5517/ccdc.csd.cc273j30
title: CCDC 2058961: Experimental Crystal Structure Determination

description: Related Article: Youngran Seo, Jared M. Lowe, Neyen Romano, Michel R. Gagné|2021|Org.Lett.|23|5636|doi:10.1021/acs.orglett.1c01713
DOI: 10.5517/ccdc.csd.cc275d3y
title: CCDC 2060759: Experimental Crystal Structure Determination

description: Related Article: Helge-Boj Hansen, Hubert Wadepohl, Markus Enders|2021|Chem.-Eur.J.|27|11084|doi:10.1002/chem.202101586
DOI: 10.5517/ccdc.csd.cc275djc
title: CCDC 2060772: Experimental Crystal Structure Determination

description: Related Article: Helge-Boj Hansen, Hubert Wadepohl, Markus Enders|2021|Chem.-Eur.J.|27|11084|doi:10.1002/chem.202101586
DOI: 10.5517/ccdc.csd.cc277pck
title: CCDC 2062968: Experimental Crystal Structure Determination

description: Related Article: Chi-Fung Yeung, Hau-Lam Shek, Shek-Man Yiu, Man-Kit Tse, Chun-Yuen Wong|2021|Organometallics|40|2458|doi:10.1021/acs.organomet.1c00197
DOI: 10.5517/ccdc.csd.cc27fw6s
title: CCDC 2068915: Experimental Crystal Structure Determination

description: Related Article: Youngran Seo, Jared M. Lowe, Neyen Romano, Michel R. Gagné|2021|Org.Lett.|23|5636|doi:10.1021/acs.orglett.1c01713
DOI: 10.5517/ccdc.csd.cc27k3zx
title: CCDC 2072039: Experimental Crystal Structure Determination

description: Related Article: Liam Mistry, Osama El-Zubir, Thomas Pope, Paul G. Waddell, Nicholas Wright, Werner A. Hofer, Benjamin R. Horrocks, Andrew Houlton|2021|Cryst.Growth Des.|21|4398|doi:10.1021/acs.cgd.1c00330
DOI: 10.5517/ccdc.csd.cc27k40z
title: CCDC 2072040: Experimental Crystal Structure Determination

description: Related Article: Liam Mistry, Osama El-Zubir, Thomas Pope, Paul G. Waddell, Nicholas Wright, Werner A. Hofer, Benjamin R. Horrocks, Andrew Houlton|2021|Cryst.Growth Des.|21|4398|doi:10.1021/acs.cgd.1c00330
DOI: 10.5517/ccdc.csd.cc27k7bd
title: CCDC 2072143: Experimental Crystal Structure Determination

description: Related Article: Olmo Lozano-Lavilla, Pablo Gómez-Orellana, Agustí Lledós, Juan A. Casares|2021|Inorg.Chem.|60|11633|doi:10.1021/acs.inorgchem.1c01595
DOI: 10.5517/ccdc.csd.cc27mj2h
title: CCDC 2074336: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Hartwick, Shweta P. Yelgaonkar, Eric W. Reinheimer, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray|2021|Cryst.Growth Des.|21|4482|doi:10.1021/acs.cgd.1c00382
DOI: 10.5517/ccdc.csd.cc27mj3j
title: CCDC 2074337: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Hartwick, Shweta P. Yelgaonkar, Eric W. Reinheimer, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray|2021|Cryst.Growth Des.|21|4482|doi:10.1021/acs.cgd.1c00382
DOI: 10.5517/ccdc.csd.cc27mj4k
title: CCDC 2074338: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Hartwick, Shweta P. Yelgaonkar, Eric W. Reinheimer, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray|2021|Cryst.Growth Des.|21|4482|doi:10.1021/acs.cgd.1c00382
DOI: 10.5517/ccdc.csd.cc27mj5l
title: CCDC 2074339: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Hartwick, Shweta P. Yelgaonkar, Eric W. Reinheimer, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray|2021|Cryst.Growth Des.|21|4482|doi:10.1021/acs.cgd.1c00382
DOI: 10.5517/ccdc.csd.cc27mj6m
title: CCDC 2074340: Experimental Crystal Structure Determination

description: Related Article: Christopher J. Hartwick, Shweta P. Yelgaonkar, Eric W. Reinheimer, Gonzalo Campillo-Alvarado, Leonard R. MacGillivray|2021|Cryst.Growth Des.|21|4482|doi:10.1021/acs.cgd.1c00382
DOI: 10.5517/ccdc.csd.cc27nq5t
title: CCDC 2075486: Experimental Crystal Structure Determination

description: Related Article: Gabriel Guerra Faura, Tena Nguyen, Stefan France|2021|J.Org.Chem.|86|10088|doi:10.1021/acs.joc.1c00826
DOI: 10.5517/ccdc.csd.cc27nwmf
title: CCDC 2075655: Experimental Crystal Structure Determination

description: Related Article: Gabriel Guerra Faura, Tena Nguyen, Stefan France|2021|J.Org.Chem.|86|10088|doi:10.1021/acs.joc.1c00826