cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14746621
title: Additional file 4 of Coordinated action of human papillomavirus type 16 E6 and E7 oncoproteins on competitive endogenous RNA (ceRNA) network members in primary human keratinocytes

description: Additional file 4. Influence of individual HPV16 oncoproteins on miRNA and lncRNA expression changes.
DOI: 10.6084/m9.figshare.14746618
title: Additional file 3 of Coordinated action of human papillomavirus type 16 E6 and E7 oncoproteins on competitive endogenous RNA (ceRNA) network members in primary human keratinocytes

description: Additional file 3. The effects of the HPV16 E6 and E7 on the level of well-known transcriptional targets of high-risk HPV oncoproteins.
DOI: 10.6084/m9.figshare.14746612
title: Additional file 1 of Coordinated action of human papillomavirus type 16 E6 and E7 oncoproteins on competitive endogenous RNA (ceRNA) network members in primary human keratinocytes

description: Additional file 1. The lists of StarBase v2.0, DianaTools-LncBase v.2 and miRTarBase search results.
DOI: 10.6084/m9.figshare.14746594
title: Additional file 5 of Generating age-specific mortality statistics from incomplete death registration data: two applications of the empirical completeness method

description: Additional File 5. Demonstration of Conventional deaths method (UN standard life table) in Brazilian states, 2015.
DOI: 10.6084/m9.figshare.14746591
title: Additional file 4 of Generating age-specific mortality statistics from incomplete death registration data: two applications of the empirical completeness method

description: Additional File 4. Demonstration of Equivalent deaths method (UN standard life table) in Brazilian states, 2015.
DOI: 10.6084/m9.figshare.14746588
title: Additional file 3 of Generating age-specific mortality statistics from incomplete death registration data: two applications of the empirical completeness method

description: Additional File 3. Demonstration of Conventional deaths method (GBD standard life table) in Brazilian states, 2015.
DOI: 10.6084/m9.figshare.14746585
title: Additional file 2 of Generating age-specific mortality statistics from incomplete death registration data: two applications of the empirical completeness method

description: Additional File 2. Demonstration of Equivalent deaths method (GBD standard life table) in Brazilian states, 2015.
DOI: 10.6084/m9.figshare.14746551
title: Additional file 1 of Spatio-temporal epidemiology of the tuberculosis incidence rate in Iran 2008 to 2018

description: Additional file 1.
DOI: 10.6084/m9.figshare.14746299
title: Additional file 7 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 7: Table S4. Gene sets associated with different immune cells.
DOI: 10.6084/m9.figshare.14746296
title: Additional file 6 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 6: Figure S3: Co-expression analysis of GNG5 and GSEA enrichment analysis results. The correlation between GNG5 and POP4 (A), RER1 (B), ATRNL1 (C), TUB (D); GSEA enrichment analysis of the ECM-receptor interaction (E), the focal adhesion (F), the toll-like receptor signaling pathway (G) and the nod-like receptor signaling pathway (H).
DOI: 10.25345/c51v73
title: MassIVE MSV000087583 - GNPS - Dataset Creation from GNPS Molecular Networking - cf7b90b2819c42ed92abb43aadb752af - Imported and Local leaves
title: Matured garlic leaves data for the purpose of undergrad thesis completion and analysis for GNPS Redu.
DOI: 10.6084/m9.figshare.14746290
title: Additional file 5 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 5: Figure S2: Correlation between IDH1 R132H and GNG5 in glioma samples. (A): Representative results of IDH1 R132H immunohistochemical staining in GNG5 positive tissue; (B): correlation analysis of GNG5 and IDH1 R132H based on the clinical sample. *P = 0.0309.
DOI: 10.6084/m9.figshare.14746287
title: Additional file 4 of GNG5 is a novel oncogene associated with cell migration, proliferation, and poor prognosis in glioma

description: Additional file 4: Figure S1: Correlation between GNG5 expression level and overall survival of glioma patients. (A): Immunohistochemical results of GNG5 in glioma and normal tissues based on human protein atlas. LGG: low grade glioma, HGG: high grade glioma; (B): Kaplan-Meier curve based on TCGA database; (C): Differences in GNG5 expression in patients with different survival periods based on GEO (GSE 53733).
DOI: 10.25345/c5x243
title: MassIVE MSV000087584 - GNPS - Dataset Creation from GNPS Molcular Networking - a9f70daae791440abba1be7c4699125e
title: Garlic vine data for the purpose of undergrad thesis completion and analysis for GNPS Redu.
DOI: 10.6084/m9.figshare.8241176
title: AIBECS-OCIM1_CTL

description: This file contains the circulation output and grid information from the Ocean Circulation Inverse Model (OCIM) version 1 [Devries and Primeau, 2011; DeVries, 2014].<br>The data was converted for use by the Algebraic Implicit Biogeochemical Element Cycling System (AIBECS).<br>References: <br>- DeVries, T. ( 2014), The oceanic anthropogenic CO<sub>2</sub> sink: Storage, air‐sea fluxes, and transports over the industrial era, <i>Global Biogeochem. Cycles</i>, 28, 631– 647, doi:10.1002/2013GB004739. <br>- DeVries, T. and F. Primeau, 2011: Dynamically and Observationally Constrained Estimates of Water-Mass Distributions and Ages in the Global Ocean. <i>J. Phys. Oceanogr.,</i> <b>41</b>, 2381–2401, https://doi.org/10.1175/JPO-D-10-05011.1<br>- Benoit Pasquier. (2019, May 23). AIBECS.jl: The ideal tool for exploring global marine biogeochemical cycles (v0.2.0). Zenodo. http://doi.org/10.5281/zenodo.3192180<br>update 8 Jun 2021: Add JLD2 version<br>
DOI: 10.6084/m9.figshare.8241176.v8
title: AIBECS-OCIM1_CTL

description: This file contains the circulation output and grid information from the Ocean Circulation Inverse Model (OCIM) version 1 [Devries and Primeau, 2011; DeVries, 2014].<br>The data was converted for use by the Algebraic Implicit Biogeochemical Element Cycling System (AIBECS).<br>References: <br>- DeVries, T. ( 2014), The oceanic anthropogenic CO<sub>2</sub> sink: Storage, air‐sea fluxes, and transports over the industrial era, <i>Global Biogeochem. Cycles</i>, 28, 631– 647, doi:10.1002/2013GB004739. <br>- DeVries, T. and F. Primeau, 2011: Dynamically and Observationally Constrained Estimates of Water-Mass Distributions and Ages in the Global Ocean. <i>J. Phys. Oceanogr.,</i> <b>41</b>, 2381–2401, https://doi.org/10.1175/JPO-D-10-05011.1<br>- Benoit Pasquier. (2019, May 23). AIBECS.jl: The ideal tool for exploring global marine biogeochemical cycles (v0.2.0). Zenodo. http://doi.org/10.5281/zenodo.3192180<br>update 8 Jun 2021: Add JLD2 version<br>
DOI: 10.6084/m9.figshare.8241176.v7
title: AIBECS-OCIM1_CTL

description: This file contains the circulation output and grid information from the Ocean Circulation Inverse Model (OCIM) version 1 [Devries and Primeau, 2011; DeVries, 2014].<br>The data was converted for use by the Algebraic Implicit Biogeochemical Element Cycling System (AIBECS).<br>References: <br>- DeVries, T. ( 2014), The oceanic anthropogenic CO<sub>2</sub> sink: Storage, air‐sea fluxes, and transports over the industrial era, <i>Global Biogeochem. Cycles</i>, 28, 631– 647, doi:10.1002/2013GB004739. <br>- DeVries, T. and F. Primeau, 2011: Dynamically and Observationally Constrained Estimates of Water-Mass Distributions and Ages in the Global Ocean. <i>J. Phys. Oceanogr.,</i> <b>41</b>, 2381–2401, https://doi.org/10.1175/JPO-D-10-05011.1<br>- Benoit Pasquier. (2019, May 23). AIBECS.jl: The ideal tool for exploring global marine biogeochemical cycles (v0.2.0). Zenodo. http://doi.org/10.5281/zenodo.3192180<br><br>
DOI: 10.6084/m9.figshare.14721282.v5
title: THINGS-EEG

description: EEG data for 1854 object concepts presented in RSVP streams. Data from 50 participants.
DOI: 10.25451/flinders.14747349
title: ERG Dataset

description: Microsoft Excel and IBM SPSS VER 25 of normal ISCEV data for full field ERG with skin electrodes Troland Protocol. Ages 3.8-26 years.
DOI: 10.6084/m9.figshare.8317085
title: AIBECS-OCIM0.1

description: This file contains the circulation output and grid information from the Ocean Circulation Inverse Model (OCIM) version 0.1 [DeVries and Primeau, 2011; Primeau et al., 2013].<br>The data was converted for use by the Algebraic Implicit Biogeochemical Element Cycling System (AIBECS).<br>References: <br>- Primeau, F. W., Holzer, M., and DeVries, T. ( 2013), Southern Ocean nutrient trapping and the efficiency of the biological pump, <i>J. Geophys. Res. Oceans</i>, 118, 2547– 2564, doi:10.1002/jgrc.20181. - DeVries, T. and F. Primeau, 2011: Dynamically and Observationally Constrained Estimates of Water-Mass Distributions and Ages in the Global Ocean. <i>J. Phys. Oceanogr.,</i> <b>41</b>, 2381–2401, https://doi.org/10.1175/JPO-D-10-05011.1<br>- Benoit Pasquier. (2019, May 23). AIBECS.jl: The ideal tool for exploring global marine biogeochemical cycles (v0.2.0). Zenodo. http://doi.org/10.5281/zenodo.3192180<br>8 Jun 2021 update: add JLD2 version<br>
DOI: 10.6084/m9.figshare.8317085.v4
title: AIBECS-OCIM0.1

description: This file contains the circulation output and grid information from the Ocean Circulation Inverse Model (OCIM) version 0.1 [DeVries and Primeau, 2011; Primeau et al., 2013].<br>The data was converted for use by the Algebraic Implicit Biogeochemical Element Cycling System (AIBECS).<br>References: <br>- Primeau, F. W., Holzer, M., and DeVries, T. ( 2013), Southern Ocean nutrient trapping and the efficiency of the biological pump, <i>J. Geophys. Res. Oceans</i>, 118, 2547– 2564, doi:10.1002/jgrc.20181. - DeVries, T. and F. Primeau, 2011: Dynamically and Observationally Constrained Estimates of Water-Mass Distributions and Ages in the Global Ocean. <i>J. Phys. Oceanogr.,</i> <b>41</b>, 2381–2401, https://doi.org/10.1175/JPO-D-10-05011.1<br>- Benoit Pasquier. (2019, May 23). AIBECS.jl: The ideal tool for exploring global marine biogeochemical cycles (v0.2.0). Zenodo. http://doi.org/10.5281/zenodo.3192180<br>8 Jun 2021 update: add JLD2 version<br>
DOI: 10.6084/m9.figshare.12386498
title: OCCA

description: OCCA Matrix. See AIBECS.jl.<br>8 Jun 2021 update: Add JLD2 format<br>
DOI: 10.6084/m9.figshare.12386498.v1
title: OCCA

description: OCCA Matrix. See AIBECS.jl.<br>
DOI: 10.6084/m9.figshare.14747538
title: Supplementary Material for: Adult Pulmonary Intensive and Intermediate Care Units: The Italian Thoracic Society (ITS-AIPO) Position Paper

description: The imbalance between the prevalence of patients with acute respiratory failure (ARF) and acute-on-chronic respiratory failure and the number of intensive care unit (ICU) beds requires new solutions. The increasing use of non-invasive respiratory tools to support patients at earlier stages of ARF and the increased expertise of non-ICU clinicians in other types of supportive care have led to the development of adult pulmonary intensive care units (PICUs) and pulmonary intermediate care units (PIMCUs). As in other European countries, Italian PICUs and PIMCUs provide an intermediate level of care as the setting designed for managing ARF patients without severe non-pulmonary dysfunction. The PICUs and PIMCUs may also act as step-down units for weaning patients from prolonged mechanical ventilation and for discharging patients still requiring ventilatory support at home. These units may play an important role in the on-going coronavirus disease 2019 pandemic. This position paper promoted by the Italian Thoracic Society (ITS-AIPO) describes the models, facilities, staff, equipment, and operating methods of PICUs and PIMCUs.
DOI: 10.6084/m9.figshare.11911104
title: OCIM2_CTL_He.bson

description: See AIBECS.jl.<br>8 Jun 2021 update: Add JLD2 version.<br>
DOI: 10.6084/m9.figshare.11911104.v4
title: OCIM2_CTL_He.bson

description: See AIBECS.jl.<br>8 Jun 2021 update: Add JLD2 version.<br>
DOI: 10.6084/m9.figshare.11911104.v3
title: OCIM2_CTL_He.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911122
title: OCIM2_CTL_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911122.v3
title: OCIM2_CTL_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911122.v2
title: OCIM2_CTL_noHe.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911125
title: OCIM2_KiHIGH_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911125.v3
title: OCIM2_KiHIGH_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911125.v2
title: OCIM2_KiHIGH_He.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911128
title: OCIM2_KiHIGH_noHe.bson

description: See AIBECS.jl<br>Jun 8 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911128.v3
title: OCIM2_KiHIGH_noHe.bson

description: See AIBECS.jl<br>Jun 8 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911128.v2
title: OCIM2_KiHIGH_noHe.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911131
title: OCIM2_KiLOW_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911131.v3
title: OCIM2_KiLOW_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911131.v2
title: OCIM2_KiLOW_He.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911134
title: OCIM2_KiLOW_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911134.v3
title: OCIM2_KiLOW_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911137
title: OCIM2_KvHIGH_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911137.v3
title: OCIM2_KvHIGH_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911137.v2
title: OCIM2_KvHIGH_He.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911140
title: OCIM2_KvHIGH_KiHIGH_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911140.v3
title: OCIM2_KvHIGH_KiHIGH_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911140.v2
title: OCIM2_KvHIGH_KiHIGH_noHe.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911143
title: OCIM2_KvHIGH_KiLOW_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911143.v3
title: OCIM2_KvHIGH_KiLOW_He.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911143.v2
title: OCIM2_KvHIGH_KiLOW_He.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911146
title: OCIM2_KvHIGH_KiLOW_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911146.v3
title: OCIM2_KvHIGH_KiLOW_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911146.v2
title: OCIM2_KvHIGH_KiLOW_noHe.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.11911149
title: OCIM2_KvHIGH_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911149.v3
title: OCIM2_KvHIGH_noHe.bson

description: See AIBECS.jl<br>8 Jun 2021 update: Add JLD2 version<br><br>
DOI: 10.6084/m9.figshare.11911149.v2
title: OCIM2_KvHIGH_noHe.bson

description: See AIBECS.jl<br>
DOI: 10.6084/m9.figshare.14747781
title: Supplementary Material for: Disparities in Obesity Prevalence in Iranian Adults: Cross-Sectional Study Using Data from the 2016 STEPS Survey

description: <b><i>Introduction:</i></b> This paper outlines the prevalence, disparities, and social determinants of preobesity and obesity in Iranian adults. <b><i>Methods:</i></b> Data on 28,321 adults who participated in the 2016 National Survey of the Risk Factors of Noncommunicable Diseases (STEPS) survey were analyzed. The body mass index (BMI) was calculated from physically measured height and weight. To assess the association between sociodemographic factors and the prevalence of preobesity and obesity, a χ<sup>2</sup> test and a logistic regression model were used. Socioeconomic inequality was quantified by a concentration index. Disparities in provincial mean BMI and concentration indices were shown on the map of Iran using geographic information system analysis. <b><i>Results:</i></b> Overall, 60.3% of the participants were affected by preobesity or obesity. The preobesity prevalence was 39% in men and 35.2% in women. The obesity prevalence was 15.6% in men and 30.4% in women. The mean BMI for the country was 26.5. Higher ranges were observed across the northwestern and central territories. Female individuals in the age group 48–57 years who were married and lived in urban settings had an increased risk of being preobese or obese. The concentration index revealed a prorich inequality, with a greater magnitude among women. <b><i>Conclusion:</i></b> The findings suggest that policies aimed at reducing preobesity and obesity should remain a public health priority in Iran. However, a greater emphasis should be placed on the northwestern and central territories and on higher socioeconomic groups.
DOI: 10.6084/m9.figshare.14721282.v6
title: THINGS-EEG

description: EEG data for 1854 object concepts presented in RSVP streams. Data from 50 participants.
DOI: 10.48425/0076150
title: S_ungulates_carcasses_adventdalen_summer

description: Reindeer carcasses observed during the annual census of the Svalbard reindeer population in Adventdalen with side valleys. Each line in the dataset represents one carcass.\r\n\r\nThe dataset includes two types of files:\r\n\r\n* One data file per year (_YEAR.txt)\r\n* One readme file with additional information (_readme.pdf)\r\n\r\nThe dataset has a two-year embargo, older versions of the dataset are publicly available for download.\r\n
DOI: 10.5517/ccdc.csd.cc249981
title: CCDC 1975142: Experimental Crystal Structure Determination

description: Related Article: Saira Manzoor, Piao He, Jun-Qing Yang, Qamar-un-nisa Tariq, Li Jing-Ru, Yong Hu, Wenli Cao, Jian-Guo Zhang|2021|J.Mol.Struct.|1242|130732|doi:10.1016/j.molstruc.2021.130732
DOI: 10.5517/ccdc.csd.cc2499qh
title: CCDC 1975156: Experimental Crystal Structure Determination

description: Related Article: Saira Manzoor, Piao He, Jun-Qing Yang, Qamar-un-nisa Tariq, Li Jing-Ru, Yong Hu, Wenli Cao, Jian-Guo Zhang|2021|J.Mol.Struct.|1242|130732|doi:10.1016/j.molstruc.2021.130732
DOI: 10.5517/ccdc.csd.cc2499tl
title: CCDC 1975159: Experimental Crystal Structure Determination

description: Related Article: Saira Manzoor, Piao He, Jun-Qing Yang, Qamar-un-nisa Tariq, Li Jing-Ru, Yong Hu, Wenli Cao, Jian-Guo Zhang|2021|J.Mol.Struct.|1242|130732|doi:10.1016/j.molstruc.2021.130732
DOI: 10.5517/ccdc.csd.cc250q31
title: CCDC 1996682: Experimental Crystal Structure Determination

description: Related Article: Francielly T. Souto, Jonatan L. de O. Buske, Celso R. Nicoleti, Juliana P. Dreyer, Renata da S. Heying, Adailton J. Bortoluzzi, Vanderlei G. Machado|2021|Spectrochim.Acta,Part A|260|119950|doi:10.1016/j.saa.2021.119950
DOI: 10.5517/ccdc.csd.cc25t2rv
title: CCDC 2020107: Experimental Crystal Structure Determination

description: Related Article: Naokazu Yoshikawa, Shoko Yamazaki, Yuna Kakimoto, Shiori Eguchi, Risa Yokoyama, Nobuko Kanehisa, Norimitsu Tohnai, Eiji Nakata, Hiroshi Takashima|2021|J.Mol.Struct.|1242|130728|doi:10.1016/j.molstruc.2021.130728
DOI: 10.5517/ccdc.csd.cc24996z
title: CCDC 1975140: Experimental Crystal Structure Determination

description: Related Article: Saira Manzoor, Piao He, Jun-Qing Yang, Qamar-un-nisa Tariq, Li Jing-Ru, Yong Hu, Wenli Cao, Jian-Guo Zhang|2021|J.Mol.Struct.|1242|130732|doi:10.1016/j.molstruc.2021.130732
DOI: 10.5517/ccdc.csd.cc25gpdr
title: CCDC 2010114: Experimental Crystal Structure Determination

description: Related Article: Saira Manzoor, Piao He, Jun-Qing Yang, Qamar-un-nisa Tariq, Li Jing-Ru, Yong Hu, Wenli Cao, Jian-Guo Zhang|2021|J.Mol.Struct.|1242|130732|doi:10.1016/j.molstruc.2021.130732
DOI: 10.5517/ccdc.csd.cc1kz9b5
title: CCDC 1459087: Experimental Crystal Structure Determination

description: Related Article: Mayte A. Martínez-Aguirre, Marcos Flores Alamo, Karla Elisa Trejo-Huizar, Anatoly K. Yatsimirsky|2021|Bioorg.Chem.|113|104993|doi:10.1016/j.bioorg.2021.104993
DOI: 10.5517/ccdc.csd.cc1kz9c6
title: CCDC 1459088: Experimental Crystal Structure Determination

description: Related Article: Mayte A. Martínez-Aguirre, Marcos Flores Alamo, Karla Elisa Trejo-Huizar, Anatoly K. Yatsimirsky|2021|Bioorg.Chem.|113|104993|doi:10.1016/j.bioorg.2021.104993
DOI: 10.5517/ccdc.csd.cc1kz9d7
title: CCDC 1459089: Experimental Crystal Structure Determination

description: Related Article: Mayte A. Martínez-Aguirre, Marcos Flores Alamo, Karla Elisa Trejo-Huizar, Anatoly K. Yatsimirsky|2021|Bioorg.Chem.|113|104993|doi:10.1016/j.bioorg.2021.104993
DOI: 10.5517/ccdc.csd.cc26tmzn
title: CCDC 2050432: Experimental Crystal Structure Determination

description: Related Article: Ana Karoline Valdo, Freddy Fernandes Guimarães, Felipe Terra Martins|2021|J.Mol.Struct.|1242|130723|doi:10.1016/j.molstruc.2021.130723
DOI: 10.5517/ccdc.csd.cc26wx12
title: CCDC 2052604: Experimental Crystal Structure Determination

description: Related Article: Ji Wu, Ke Cao, Cai-Yan Zhang, Xin-Yu Wen, Bo Li, Junxiao Yang|2021|J.Organomet.Chem.|945|121881|doi:10.1016/j.jorganchem.2021.121881
DOI: 10.5517/ccdc.csd.cc253lyv
title: CCDC 1999467: Experimental Crystal Structure Determination

description: Related Article: Myriam Louati, Regaya Ksiksi, Ines Elbini-Dhouib, Saoussen Mlayah-Bellalouna, Raoudha Doghri, Najet Srairi-Abid, Mohamed-Faouzi Zid|2021|J.Mol.Struct.|1242|130711|doi:10.1016/j.molstruc.2021.130711
DOI: 10.6084/m9.figshare.14743560
title: explanation_files

description: Explanation for files: "Database Predator-Prey.xls", "Database_Tracks.xls" & "Database_Fast_Tracks.xls"
DOI: 10.6084/m9.figshare.14743560.v2
title: explanation_files

description: Explanation for files: "Database Predator-Prey.xls", "Database_Tracks.xls" & "Database_Fast_Tracks.xls"
DOI: 10.6084/m9.figshare.14743560.v1
title: explanation_files

description: Explanation for files: "Database Predator-Prey.xls" & "Database_Tracks.xls"<br>
DOI: 10.6084/m9.figshare.14743329
title: Database Predator-Prey

description: Dataset of all relevant data calculated from 3D predator-prey interactions within the experiments. <br>
DOI: 10.6084/m9.figshare.14743308
title: Database_Tracks

description: This database includes the 3D tracks of predators and preys recorded in the stickleback predation trials.
DOI: 10.6084/m9.figshare.14743308.v2
title: Database_Tracks

description: This database includes the 3D tracks of predators and preys recorded in the stickleback predation trials.
DOI: 10.6084/m9.figshare.14743308.v1
title: Database_Tracks

description: This database includes the 3D tracks of predators and preys recorded in the stickleback predation trials.
DOI: 10.6084/m9.figshare.14747838.v1
title: Database_Fast_Tracks

description: Additional tracks of failed predation events of perch and roach of size class 3-4.<br>
DOI: 10.6084/m9.figshare.14747838
title: Database_Fast_Tracks

description: Additional tracks of failed predation events of perch and roach of size class 3-4.<br>