cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc29d0xn
title: CCDC 2126721: Experimental Crystal Structure Determination

description: Related Article: S.-D. Li, F. Su, C.-Y. Zhou, Q.-L. Hu, Y.-Q. Li, Z.-J. Wang|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|23|doi:10.1107/S2053229621012973
DOI: 10.5517/ccdc.csd.cc29d0yp
title: CCDC 2126722: Experimental Crystal Structure Determination

description: Related Article: S.-D. Li, F. Su, C.-Y. Zhou, Q.-L. Hu, Y.-Q. Li, Z.-J. Wang|2022|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|78|23|doi:10.1107/S2053229621012973
DOI: 10.7281/t1/bnsvvd/ekqz0i
title: 2. Cu_obs_model.nc

description: This dataset contains complied observed dissolved Cu data, modeled Cu data, compiled phosphate data, complied silicate data, and compiled AOU data. Modeled Cu data output generated using the OCIM model described in John et al., AWESOME OCIM: A simple, flexible, and powerful tool for modeling elemental cycling in the oceans. Chemical Geology, 533, 119403, https://doi.org/10.1016/j.chemgeo.2019.119403
DOI: 10.7281/t1/bnsvvd/bgkm9y
title: 1. ReadMe_Cu.pdf

description: Description of files and their contents.
DOI: 10.5063/f14f1p52
title: Pond methane dynamics, from microbial communities to ecosystem budget, during summer in Alaska

description: Ponds play a larger role in the global freshwater methane (CH4) budget than predicted from surface area alone. To improve our understanding of pond CH4 dynamics, we measured summer CH4 production, concentrations, and emissions to the atmosphere in nine Alaskan wetland ponds along with potential physical, chemical, and biological regulators. Pond CH4 production (0.64, 0.086–1.3 mmol m-2 d-1; median, interquartile range), as assessed with slurry incubations, was positively related to water-column temperature and chlorophyll a, negatively influenced by oxygen levels, and varied with microbial community structure. Average water-column CH4 concentrations (0.39, 0.21–0.87 µmol L-1) were lower in deeper ponds and at higher oxygen levels, and as expected, they were correlated with diffusive emissions (0.055, 0.024–0.20 mmol m-2 d-1) assessed with flux chambers. Based on a mass balance approach, 39–99% of CH4 produced in ponds was oxidized. Pond ebullition (3.7, 0.60–24 mmol m-2 d-1) was higher and more variable than diffusive emissions. Additionally, pond ebullition rates were better correlated with production rates from the previous month. We also systematically compared the ratio of ebullition to diffusive CH4 emissions in our ponds and other northern lakes, which was negatively related to water depth (n = 71), but positively related to chlorophyll a (n = 28). Our study sheds light on the factors that influence pond CH4 dynamics and demonstrates that pond ebullition is a significant CH4 source worthy of continued study.
DOI: 10.5281/zenodo.5809398
title: Impairment of aversive episodic memories during Covid-19 pandemic: The impact of emotional context on memory processes

description: The threatening context of the COVID-19 pandemic provided a unique setting to study the effects of negative psychological symptoms on memory processes. Episodic memory is an essential function of the human being related to the ability to store and remember experiences and anticipate possible events in the future. Studying this function in this context is crucial to understand what effects the pandemic will have on the formation of episodic memories. To study this, the formation of episodic memories was evaluated by free recall, recognition, and episode order tasks for an aversive and neutral content. The results indicated that aversive episodic memory is impaired both in the free recall task and in the recognition task. Even the beneficial effect that emotional memory usually has for the episodic order was undermined as there were no differences between the neutral and aversive condition. The present work adds to the evidence that indicates that the level of activation does not modify memory processes in a linear way, which also depends on the type of recall and the characteristics of the content to be encoded.
DOI: 10.5281/zenodo.5809397
title: Impairment of aversive episodic memories during Covid-19 pandemic: The impact of emotional context on memory processes

description: The threatening context of the COVID-19 pandemic provided a unique setting to study the effects of negative psychological symptoms on memory processes. Episodic memory is an essential function of the human being related to the ability to store and remember experiences and anticipate possible events in the future. Studying this function in this context is crucial to understand what effects the pandemic will have on the formation of episodic memories. To study this, the formation of episodic memories was evaluated by free recall, recognition, and episode order tasks for an aversive and neutral content. The results indicated that aversive episodic memory is impaired both in the free recall task and in the recognition task. Even the beneficial effect that emotional memory usually has for the episodic order was undermined as there were no differences between the neutral and aversive condition. The present work adds to the evidence that indicates that the level of activation does not modify memory processes in a linear way, which also depends on the type of recall and the characteristics of the content to be encoded.
DOI: 10.5281/zenodo.5510510
title: Data related to "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al.

description: This is Supplementary Dataset for "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al.
DOI: 10.5281/zenodo.5563029
title: Data related to "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al.

description: This is Supplementary Dataset for "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al.
DOI: 10.5281/zenodo.5510509
title: Data related to "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al.

description: This is Supplementary Dataset for "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al.
DOI: 10.5281/zenodo.5810786
title: Data related to "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al.

description: This is Supplementary Dataset for "Upper cortical layer-driven network impairment in schizophrenia" paper, by Batiuk, Tyler et al. This repository contains: Supplementary Dataset Tables 1-4 (Supplementary_Dataset_Tables_1-4.xlsx). They contain DE genes and GO terms from snRNA-seq and visium analysis, control-schizophrenia patients comparisons.
DOI: 10.5066/p9u9q5pc
title: Documentation of VS2DH Seepage Models: Surface Infiltration and Unsaturated Zone Characterization in Support of Managed Aquifer Recharge, Washoe County, Nevada

description: Two-dimensional variably saturated heat and flow models (VS2DH) were used to examine seepage rates along the Birdspring drainage for the purpose of exploring the drainage channel for use in an managed aquifer recharge project. Six transect models were separately calibrated to sediment temperatures observed during episodic runoff events during water year 2017 and 2018. The models were calibrated to unsteady flow conditions, then estimates of seepage losses were made for steady state conditions assuming stage conditions associated with 4 cubic feet per second of imported water. This USGS data release contains all of the input and output files for the simulations described in the associated model documentation report (larger work).
DOI: 10.18112/openneuro.ds002778.v1.1.0
title: UC San Diego Resting State EEG Data from Patients with Parkinson's Disease
DOI: 10.5066/p9oaf8l8
title: Supplemental Data: Surface Infiltration and Unsaturated Zone Characterization in Support of Managed Aquifer Recharge in Bedell Flat, Washoe County, Nevada

description: This USGS data release presents tabular data and photos used to determine (1) the duration of flow, subsurface temperature, and concurrent infiltration along an ephemeral channel and (2) vertical change of soil moisture, texture, and pore-water chemistry in the unsaturated zone at selected locations. The data were collected to investigate the feasibility of managed aquifer recharge (MAR) for aquifer storage and recovery in Bedell Flat hydrographic area, Nevada. The supplemental data consist of 4 tabular datasets and time-lapse photographs of discharge events. Data in this release include: (1) Bird Springs channel site location information (tabular data), (2) Bird Springs channel stream stage and subsurface temperature data (tabular data), (3) Bird Springs channel temperature and flow sensor data; the latter dataset is uncalibrated electrical conductivity (EC) data used to determine the duration of stream discharge (tabular data), (4) Bird Springs channel time-lapse photographs (digital photographs), and (5) Soil moisture, texture, and chemical compositions of water extractions from bulk sediments and cores from Bedell Flat (tabular data).
DOI: 10.34808/t676-cb16
title: Kowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles

description: Kowalewo Pomorskie 2021 - video data - pedestrian, bicycles, vehicles
The data contain video traffic data (pedestrian, cyclists, vehicles) registered at 10 intersections.
The video camera was installed around bicycle and pedestrian crossings at the intersection. Camera was mounted on 7-meter-high mast. Recording date  23.09.2021. 

Location of intersections:

  Summary of road traffic and HGV share at individual intersections and cross-section.   

Sample view of the video material:
DOI: 10.5281/zenodo.4557614
title: Global Transportation Demand Dataset using the Shared Socioeconomic Pathways (SSPs) Scenario Framework

description: We use historical data for the land-based passenger (in passenger-kilometers (km)) across 38 countries and freight transport (in tonne-km) for 43 countries between 1990 and 2018 from the Transport Outlook of the International Transport Forum (ITF) transport database, to investigate the key drivers of transport energy demand <em><strong>source</strong>: ITF. (2019). ITF Transport Outlook 2019. ITF Transport Outlook 2019. https://www.oecd-ilibrary.org/transport/itf-transport-outlook-2019_transp_outlook-en-2019-en</em> We collect the historical socioeconomic variables from the World Bank’s global open data bank <em><strong>source</strong>: World Bank. (2020). Data Bank: World Development Indicators. https://databank.worldbank.org/source/world-development-indicators</em> For this scenario analysis, we rely on the shared socioeconomic pathways (SSPs) from the IIASA database (Riahi et al., 2017). <em><strong>source: </strong>Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., … Tavoni, M. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153–168. https://doi.org/10.1016/j.gloenvcha.2016.05.009 Available Online: https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=about</em> The lack of data disaggregated by country and end-use sector in countries of interest was a significant drawback in the data collection process. We make a crucial assumption in this modeling exercise that historical demand profiles in developing countries track the global average per capita transport trends. Therefore, the resulting estimates are indicative and must be interpreted within this analysis's scope given the future is unknown and highly uncertain.
DOI: 10.34740/kaggle/dsv/2988925
title: Omicron daily cases by country (COVID-19 variant)
DOI: 10.6084/m9.figshare.17704964.v2
title: Dr.Ali Imad Mohammed Azhar

description: http://www.ukrbook.net/litopys/avtoreferat/2013/L_ad_1_2013.pdf <br><br>
DOI: 10.6084/m9.figshare.17406389
title: Seismic_data_from_SubMachine

description: Cross-section seismic data of 17 global S-wave models downloaded from SubMachine. Coordinate of these cross-section were also provided.
DOI: 10.5519/qd.kj66a1o2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.5281/zenodo.5802409
title: Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow

description: Data repository for the paper: Thanheiser, S.; Haider, M.; Schwarzmayr, P. <br> Experimental Investigation of the Heat Transfer between Finned Tubes and a Bubbling Fluidized Bed with Horizontal Sand Mass Flow. Energies 2021, 14, x. https://doi.org/10.3390/xxxxx
DOI: 10.25625/hikeiz/brg1uk
title: Supplemenatary Table 1.QTL_genes.tab

description: :unav
DOI: 10.25625/hikeiz/ygp3dl
title: Supplemenatary Table 2. CandidateGeneScreen.xlsx

description: :unav
DOI: 10.25625/hikeiz
title: Thesis documents of Ting-Hsuan Lu

description: The full information of candidate genes through screening.
DOI: 10.6084/m9.figshare.3761562.v2089
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: 10.5281/zenodo.5810457
title: Fresnel imaging of ferromagnetic domain wall motion using fast pixelated electron detector

description: This deposit contains supplementary datasets and data processing scripts used in the Master Thesis by Rajith Aravinth at the Norwegian University of Science and Technology (NTNU).
DOI: 10.5281/zenodo.5810456
title: Fresnel imaging of ferromagnetic domain wall motion using fast pixelated electron detector

description: This deposit contains supplementary datasets and data processing scripts used in the Master Thesis by Rajith Aravinth at the Norwegian University of Science and Technology (NTNU).
DOI: 10.5517/ccdc.csd.cc21vpg2
title: CCDC 1902484: Experimental Crystal Structure Determination

description: Related Article: Melissa Ramirez, Vito Vece, Stephen Hanessian, K. N. Houk|2021|J.Org.Chem.|86|17955|doi:10.1021/acs.joc.1c02296
DOI: 10.5517/ccdc.csd.cc25s1cd
title: CCDC 2019103: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1df
title: CCDC 2019104: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1fg
title: CCDC 2019105: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1gh
title: CCDC 2019106: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1hj
title: CCDC 2019107: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1jk
title: CCDC 2019108: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1kl
title: CCDC 2019109: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1lm
title: CCDC 2019110: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1mn
title: CCDC 2019111: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1np
title: CCDC 2019112: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1pq
title: CCDC 2019113: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1qr
title: CCDC 2019114: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1rs
title: CCDC 2019115: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1st
title: CCDC 2019116: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1tv
title: CCDC 2019117: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1vw
title: CCDC 2019118: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1wx
title: CCDC 2019119: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1xy
title: CCDC 2019120: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1yz
title: CCDC 2019121: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.5517/ccdc.csd.cc25s1z0
title: CCDC 2019122: Experimental Crystal Structure Determination

description: Related Article: Zeming Huang, Ruru Wang, Tian Sheng, Xiangyang Zhong, Shaowu Wang, Xiancui Zhu, Qingbing Yuan, Yun Wei, Shuangliu Zhou|2021|Inorg.Chem.|60|18843|doi:10.1021/acs.inorgchem.1c02589
DOI: 10.17632/kwrzwg7n39.1
title: Data for: Geochemical and Palynological Characteristics of the Paleogene Source Rocks in the Northeastern Laizhouwan Sag, Bohai Bay Basin, China: Hydrocarbon Potential, Depositional Environment and Factors Controlling Organic Matter Enrichment

description: Northeastern Laizhouwan Sag, Bohai Bay Basin
DOI: 10.17632/332n4pdxh9.1
title: Arthritis Flares Mediated by Tissue Resident Memory T Cells in the Joint

description: Rheumatoid arthritis is a systemic autoimmune disease, but disease flares typically affect only a subset of joints, distributed in a pattern that is distinctive for each patient. Pursuing this intriguing pattern, we show that arthritis recurrence is mediated by long-lived synovial resident memory T cells (TRM). In three murine models, CD8+ cells bearing TRM markers remain in previously inflamed joints during remission. These cells are bona fide TRM, exhibiting failure to migrate from joint to joint, preferential uptake of fatty acids, and long-term residency. Disease flares result from TRM activation by antigen, leading to CCL5-mediated recruitment of circulating effector cells. Correspondingly, TRM depletion ameliorates recurrence in a site-specific manner. Human rheumatoid arthritis joint tissues contain a comparable CD8+-predominant TRM population, most evident in late-stage leukocyte-poor synovium, exhibiting limited T cell receptor diversity and a pro-inflammatory transcriptomic signature. Together, these findings establish synovial TRM cells as a targetable mediator of disease chronicity in autoimmune arthritis.
DOI: 10.17632/hr3j3yztxb.2
title: Programming Cell-Free Biosensors with DNA Strand Displacement Circuits

description: Cell-free biosensors are emerging as powerful platforms for monitoring human and environmental health. Here, we expand the capabilities of biosensors by interfacing their outputs with toehold-mediated strand displacement, a dynamic DNA nanotechnology that enables molecular computation through programmable interactions between nucleic acid strands. We develop design rules for interfacing small molecule sensing allosteric transcription factor biosensors with strand displacement circuits as well as for constructing hybrid RNA-DNA circuits that allow fine-tuning of reaction kinetics. We then use these design rules to build twelve different circuits that implement a range of logic functions (NOT, OR, AND, IMPLY, NIMPLY, NAND). Finally, we demonstrate a circuit that acts like an analog-to-digital converter to create a series of binary outputs that encode the concentration range of the molecule being detected. We believe this work establishes a pathway to create “smart” diagnostics that use molecular computations to enhance the speed and utility of biosensors.

Supplementary data file 2 includes all unprocessed, uncropped polyacrylamide gel images shown in the manuscript and supplementary data file 3 includes all source data presented in this study generated by plate reader measurements, Qubit measurements and Fiji-ImageJ analysis. Supplementary data file 2 is provided as a zip file with each image annotated with a text file. All gel images shown in this file are urea-PAGE-TBE-gels that were stained with SYBR gold and imaged using a BioRad ChemiDoc imaging system.
DOI: 10.17632/6dhrzznnfc.2
title: PTPRG polymorphisms associated with Chronic Myeloid Leukemia Patients - Qatar population-based data

description: Raw data
DOI: 10.5517/ccdc.csd.cc272l75
title: CCDC 2058066: Experimental Crystal Structure Determination

description: Related Article: Shanshan Shi, Zhipeng Zheng, Yumeng Zhang, Yufei Yang, Denghui Ma, Yuzhen Gao, Yan Liu, Guo Tang, Yufen Zhao|2021|Org.Lett.|23|9348|doi:10.1021/acs.orglett.1c03360
DOI: 10.5517/ccdc.csd.cc27fhw2
title: CCDC 2068564: Experimental Crystal Structure Determination

description: Related Article: Yongjun Song, Renyou Yu, Mengzhen Chen, Lei He|2021|Inorg.Chem.|60|18804|doi:10.1021/acs.inorgchem.1c02534