cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21666191
title: Data supporting: The global spread and invasion capacities of alien ants

description: Deposited here are four datasets relating to the paper “The global spread and invasion capacities of alien ants” A description of each dataset follows. <strong>Dataset_1_alien_ant_species_records.csv</strong> This dataset contains the occurrence records (N=17,942) for 520 alien ant species across 525 geographic regions worldwide. It includes records of species in their native regions (“native”) as well as records of species in non-native regions, in three different categories: species recorded from border interceptions (“border.interception”), species recorded from indoor settings such as buildings and greenhouses (“established.indoors”), and species recorded in the wild (“established.outdoors”). The data was extracted on 15 June 2022 from the Global Ant Biodiversity Informatics (GABI) database (Guénard et al., 2017), which is regularly updated. Information on the literature and database sources corresponding to each record is available from GABI. Corresponding range maps for all species across all regions can be viewed at https://antmaps.org. <strong>Dataset_2_regions_and_realms.csv</strong> This dataset contains the geographic coordinates of the 525 geographic regions in the GABI database. It also provides a classification of the regions into 11 global zoogeographic realms as defined in Holt et al. (2013). <strong>Dataset_3_alien_ant_species_strata.csv</strong> This dataset contains information on the vertical habitat strata occupied by each alien ant species. Three different vertical habitat strata are listed, namely the arboreal (“arboreal”), ground-surface (“ground.surface”), and the litter-and-soil (“litter.soil”) strata (after Lucky et al., 2013). <strong>Dataset_4_ant_genera_richness_strata.csv</strong> This dataset contains information on the species richness of and vertical habitat strata occupied by each ant genus (updated from Lucky et al., 2013). <br> For additional information, please contact: markwong.research@outlook.com <br> <strong>Literature cited</strong> Guenard, B., Weiser, M. D., Gomez, K., Narula, N., and Economo, E. P. (2017). The Global Ant Biodiversity Informatics (GABI) database: synthesizing data on the geographic distribution of ant species (Hymenoptera: Formicidae). Myrmecol. News, 24, 83–89. 10.25849/myrmecol.news_024:083 Holt, B. G., Lessard, J. P., Borregaard, M. K., Fritz, S. A., Araújo, M. B., Dimitrov, D., Fabre, P., Graham, C., Graves, G., Jonsson, K. A., et al. (2013). An update of Wallace’s zoogeographic regions of the world. Science, 339, 74–78. 10.1126/science.1228282 Lucky, A., Trautwein, M. D., Guenard, B. S., Weiser, M. D., and Dunn, R. R. (2013). Tracing the rise of ants out of the ground. PLoS One, 8, e84012. 10.1371/journal.pone.0084012
DOI: 10.6084/m9.figshare.21824757.v1
title: Fig. S2 - localization of LptD

description: This file consist of the excel data used to generate the graph found in Fig. S2b and S2c.
DOI: 10.5517/ccdc.csd.cc28spqh
title: CCDC 2109107: Experimental Crystal Structure Determination

description: Related Article: Evgeniya S. Bazhina, Anna A. Bovkunova, Maxim A. Shmelev, Alexander A. Korlyukov, Alexander A. Pavlov, Lucie Hochvaldová, Libor Kvítek, Aleš Panáček, Pavel Kopel, Igor L. Eremenko, Mikhail A. Kiskin|2023|Inorg.Chim.Acta|547|121359|doi:10.1016/j.ica.2022.121359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1q2f6f
title: CCDC 1581254: Experimental Crystal Structure Determination

description: Related Article: Yuchi Zhang, Yuanhua Wu, Xin He, Junhan Ma, Xuan Shen, Dunru Zhu|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|256|doi:10.1107/S2053229618001432
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28sprj
title: CCDC 2109108: Experimental Crystal Structure Determination

description: Related Article: Evgeniya S. Bazhina, Anna A. Bovkunova, Maxim A. Shmelev, Alexander A. Korlyukov, Alexander A. Pavlov, Lucie Hochvaldová, Libor Kvítek, Aleš Panáček, Pavel Kopel, Igor L. Eremenko, Mikhail A. Kiskin|2023|Inorg.Chim.Acta|547|121359|doi:10.1016/j.ica.2022.121359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28spsk
title: CCDC 2109109: Experimental Crystal Structure Determination

description: Related Article: Evgeniya S. Bazhina, Anna A. Bovkunova, Maxim A. Shmelev, Alexander A. Korlyukov, Alexander A. Pavlov, Lucie Hochvaldová, Libor Kvítek, Aleš Panáček, Pavel Kopel, Igor L. Eremenko, Mikhail A. Kiskin|2023|Inorg.Chim.Acta|547|121359|doi:10.1016/j.ica.2022.121359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28sq82
title: CCDC 2109124: Experimental Crystal Structure Determination

description: Related Article: Evgeniya S. Bazhina, Anna A. Bovkunova, Maxim A. Shmelev, Alexander A. Korlyukov, Alexander A. Pavlov, Lucie Hochvaldová, Libor Kvítek, Aleš Panáček, Pavel Kopel, Igor L. Eremenko, Mikhail A. Kiskin|2023|Inorg.Chim.Acta|547|121359|doi:10.1016/j.ica.2022.121359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28sq93
title: CCDC 2109125: Experimental Crystal Structure Determination

description: Related Article: Evgeniya S. Bazhina, Anna A. Bovkunova, Maxim A. Shmelev, Alexander A. Korlyukov, Alexander A. Pavlov, Lucie Hochvaldová, Libor Kvítek, Aleš Panáček, Pavel Kopel, Igor L. Eremenko, Mikhail A. Kiskin|2023|Inorg.Chim.Acta|547|121359|doi:10.1016/j.ica.2022.121359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc28sqb4
title: CCDC 2109126: Experimental Crystal Structure Determination

description: Related Article: Evgeniya S. Bazhina, Anna A. Bovkunova, Maxim A. Shmelev, Alexander A. Korlyukov, Alexander A. Pavlov, Lucie Hochvaldová, Libor Kvítek, Aleš Panáček, Pavel Kopel, Igor L. Eremenko, Mikhail A. Kiskin|2023|Inorg.Chim.Acta|547|121359|doi:10.1016/j.ica.2022.121359
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7510286
title: TotalSegmentator weights - Task 273 - body

description: nnU-Net weights for TotalSegmentator body segmentation (Task 273). See https://github.com/wasserth/TotalSegmentator for more details.
DOI: 10.5281/zenodo.7510285
title: TotalSegmentator weights - Task 273 - body

description: nnU-Net weights for TotalSegmentator body segmentation (Task 273). See https://github.com/wasserth/TotalSegmentator for more details.
DOI: 10.6084/m9.figshare.21830262
title: bqp500-1.mc

description: Some text
DOI: 10.6084/m9.figshare.21830262.v1
title: bqp500-1.mc

description: Some text
DOI: 10.21954/ou.rd.21817890
title: Supplementary material for PhD thesis: Molecular modelling and biological implications of non-canonical structures in RNA viruses and long non-coding RNAs

description: Investigation of unorthodox molecular structures in DNA / RNA and their potential impact on RNA viruses, molecular biology and evolutionary biology. <br> This is the supplementary material for the PHD thesis: "Molecular modelling and biological implications of non-canonical structures in RNA viruses and long non-coding RNAs" which will be made available on ORO.
DOI: 10.21954/ou.rd.21817890.v1
title: Supplementary material for PhD thesis: Molecular modelling and biological implications of non-canonical structures in RNA viruses and long non-coding RNAs

description: Investigation of unorthodox molecular structures in DNA / RNA and their potential impact on RNA viruses, molecular biology and evolutionary biology. <br> This is the supplementary material for the PHD thesis: "Molecular modelling and biological implications of non-canonical structures in RNA viruses and long non-coding RNAs" which will be made available on ORO.
DOI: 10.15472/1dvugo
title: Propiedades físico-químicas del suelo, agua y sedimento de la cuenca de la Quebrada Lizama, dos años después del derrame en el pozo 158

description: Después de dos años del derrame de crudo en el pozo 158 de Ecopetrol, en la Cuenca de la Quebrada Lizama (Barrancabermeja/San Vicente de Chucurí, Santander), se tomaron 12 muestras de suelo, 6 de agua y 6 de sedimento, para estimar hasta 12 propiedades físico-químicas entre: capacidad de intercambio catiónico, calcio, magnesio, potasio, sodio, fósforo disponible, fósforo reactivo disuelto, aluminio intercambiable, aluminio total, saturación de bases, carbono total, carbono total de calcio cuantitativo, dureza total, textura y pH. Estos análisis son complementarios a la caracterización biológica de microorganismos realizada en los mismas localidades y sustratos. Estos datos se generan en el marco del Contrato No. 20-082 suscrito entre el Instituto Alexander von Humboldt y Ecopetrol.
DOI: 10.6084/m9.figshare.13624046
title: Acute radiation syndrome-related gene expression in irradiated peripheral blood cell populations

description: In a nuclear or radiological event, an early diagnostic tool is needed to distinguish the worried well from those individuals who may later develop life-threatenFing hematologic acute radiation syndrome. We examined the contribution of the peripheral blood's cell populations on radiation-induced gene expression (GE) changes. EDTA-whole-blood from six healthy donors was X-irradiated with 0 and 4Gy and T-lymphocytes, B-lymphocytes, NK-cells and granulocytes were separated using immunomagnetic methods. GE were examined in cell populations and whole blood. The cell populations contributed to the total RNA amount with a ratio of 11.6 for T-lymphocytes, 1.2 for B-cells, 1.2 for NK-cells, 1.0 for granulocytes. To estimate the contribution of GE per cell population, the baseline (0Gy) and the radiation-induced fold-change in GE relative to unexposed was considered for each gene. The T-lymphocytes (74.8%/80.5%) contributed predominantly to the radiation-induced up-regulation observed for <i>FDXR/DDB2</i> and the B-lymphocytes (97.1%/83.8%) for down-regulated <i>POU2AF1/WNT3</i> with a similar effect on whole blood gene expression measurements reflecting a corresponding order of magnitude. T- and B-lymphocytes contributed predominantly to the radiation-induced up-regulation of <i>FDXR/DDB2</i> and down-regulation of <i>POU2AF1/WNT3</i>. This study underlines the use of <i>FDXR/DDB2</i> for biodosimetry purposes and <i>POU2AF1/WNT3</i> for effect prediction of acute health effects.
DOI: 10.6084/m9.figshare.13624046.v2
title: Acute radiation syndrome-related gene expression in irradiated peripheral blood cell populations

description: In a nuclear or radiological event, an early diagnostic tool is needed to distinguish the worried well from those individuals who may later develop life-threatenFing hematologic acute radiation syndrome. We examined the contribution of the peripheral blood's cell populations on radiation-induced gene expression (GE) changes. EDTA-whole-blood from six healthy donors was X-irradiated with 0 and 4Gy and T-lymphocytes, B-lymphocytes, NK-cells and granulocytes were separated using immunomagnetic methods. GE were examined in cell populations and whole blood. The cell populations contributed to the total RNA amount with a ratio of 11.6 for T-lymphocytes, 1.2 for B-cells, 1.2 for NK-cells, 1.0 for granulocytes. To estimate the contribution of GE per cell population, the baseline (0Gy) and the radiation-induced fold-change in GE relative to unexposed was considered for each gene. The T-lymphocytes (74.8%/80.5%) contributed predominantly to the radiation-induced up-regulation observed for <i>FDXR/DDB2</i> and the B-lymphocytes (97.1%/83.8%) for down-regulated <i>POU2AF1/WNT3</i> with a similar effect on whole blood gene expression measurements reflecting a corresponding order of magnitude. T- and B-lymphocytes contributed predominantly to the radiation-induced up-regulation of <i>FDXR/DDB2</i> and down-regulation of <i>POU2AF1/WNT3</i>. This study underlines the use of <i>FDXR/DDB2</i> for biodosimetry purposes and <i>POU2AF1/WNT3</i> for effect prediction of acute health effects.
DOI: 10.6084/m9.figshare.13624046.v1
title: Acute Radiation Syndrome-related gene expression in irradiated peripheral blood cell populations

description: In a nuclear or radiological event, an early diagnostic or prognostic tool is needed to distinguish the worried well from low-exposed and those individuals who may later develop life-threatening hematologic acute radiation syndrome (H-ARS). In previous studies, we identified and validated genes in peripheral blood for this purpose. To gain a deeper understanding and to make methodological improvements, we examined the contribution of the peripheral blood´s cell populations on radiation-induced gene expression changes. EDTA whole blood from six healthy donors was X-irradiated with 0 and 4 Gy, cultured <i>in vitro</i> for 24 h and cell populations of T-lymphocytes (CD3), B-lymphocytes (CD19), NK-cells (CD56) and granulocytes (CD15) were separated using immunomagnetic methods. Whole blood was used as a positive control to ensure the expected radiation-induced gene expression response based on previous examinations. Purity of cell separation and cell counts was validated using immunofluorescence imaging flow cytometry. After RNA isolation, gene expressions of <i>FDXR, DDB2, POU2AF1</i> and <i>WNT3</i> were examined in the cell populations and whole blood. The cell populations, on average, contributed to the total RNA amount with a ratio of 11.6 for T-lymphocytes: 1.2 for B-cells: 1.2 for NK-cells: 1.0 for granulocytes. In order to estimate the contribution of gene expression per cell population, the baseline (0 Gy) as well as the radiation-induced fold-change in gene expression relative to unexposed was considered for each gene. After considering all three parameters, the T-lymphocytes (74.8%/80.5%) contributed predominantly to the radiation-induced up-regulation observed for <i>FDXR/DDB2</i> and the B-lymphocytes (97.1%/83.8%) for down-regulated <i>POU2AF1/WNT3</i> with a similar effect on whole blood gene expression measurements reflecting a corresponding order of magnitude. T-lymphocytes and B-lymphocytes contributed predominantly to the radiation-induced up-regulation of <i>FDXR/DDB2</i> and down-regulation of <i>POU2AF1/WNT3</i>. Further separation of cell populations will not increase the diagnostic sensitivity, but complicate an efficient workflow. Also, this study identifies undesired limitations of widely used whole blood in vitro models, but it still underlines the use of <i>FDXR</i> and <i>DDB2</i> for biodosimetry purposes and <i>POU2AF1</i> and <i>WNT3</i> for effect prediction of acute health effects.
DOI: 10.6084/m9.figshare.14040266
title: Early- and late-occurring damage in bone marrow cells of male CBA/Ca mice exposed whole-body to 1 GeV/n <sup>48</sup>Ti ions

description: To determine the early- and late-occurring damage in the bone marrow (BM) and peripheral blood cells of male CBA/Ca mice after exposure to 0, 0.1, 0.25, or 0.5 Gy of 1 GeV/n titanium (<sup>48</sup>Ti) ions (one type of space radiation). We used the mouse in vivo blood-erythrocyte micronucleus (MN) assay for evaluating the cytogenetic effects of various doses of 1 GeV/n <sup>48</sup>Ti ions. The MN assay was coupled with the characterization of epigenetic alterations (the levels of global 5-methylcytosine and 5-hydroxymethylcytosine) in DNA samples isolated from BM cells. These analyses were performed in samples collected at an early time-point (1 week) and a late time-point (6 months) post-irradiation. Our results showed that <sup>48</sup>Ti ions induced genomic instability in exposed mice. Significant dose-dependent loss of global 5-hydroxymethylcytosine was found but there were no changes in global 5-methylcytosine levels. Since persistent genomic instability and loss of global 5-hydroxymethylcytosine are linked to cancer, our findings suggest that exposure to <sup>48</sup>Ti ions may pose health risks.
DOI: 10.6084/m9.figshare.14040266.v2
title: Early- and late-occurring damage in bone marrow cells of male CBA/Ca mice exposed whole-body to 1 GeV/n <sup>48</sup>Ti ions

description: To determine the early- and late-occurring damage in the bone marrow (BM) and peripheral blood cells of male CBA/Ca mice after exposure to 0, 0.1, 0.25, or 0.5 Gy of 1 GeV/n titanium (<sup>48</sup>Ti) ions (one type of space radiation). We used the mouse in vivo blood-erythrocyte micronucleus (MN) assay for evaluating the cytogenetic effects of various doses of 1 GeV/n <sup>48</sup>Ti ions. The MN assay was coupled with the characterization of epigenetic alterations (the levels of global 5-methylcytosine and 5-hydroxymethylcytosine) in DNA samples isolated from BM cells. These analyses were performed in samples collected at an early time-point (1 week) and a late time-point (6 months) post-irradiation. Our results showed that <sup>48</sup>Ti ions induced genomic instability in exposed mice. Significant dose-dependent loss of global 5-hydroxymethylcytosine was found but there were no changes in global 5-methylcytosine levels. Since persistent genomic instability and loss of global 5-hydroxymethylcytosine are linked to cancer, our findings suggest that exposure to <sup>48</sup>Ti ions may pose health risks.
DOI: 10.6084/m9.figshare.21830202
title: The Speed Mapping Challenge Cartographic Data

description: Cartographic data of SEGU Team for two sites (Ottawa River and Thunder Bay) for the CHC 2022 Speed Mapping Challenge
DOI: 10.15472/uao2vn
title: Caracterización ecológica Lisama periodo t2 (2020 y 2021) - Paisajes Sonoros

description: Con el propósito de evaluar la condición socio-ecológica del sistema aledaño al afloramiento de crudo ocurrido en cercanías del pozo Lisama 158 (Santander), se muestrearon peces, aves, vegetación, microorganismos, paisajes sonoros y percepción de servicios ecosistémicos a lo largo del sistema de drenaje quebrada Lizama–Caño La Muerte. Los datos biológicos fueron colectados en 12 sitios muestreales distribuidos en el sistema de drenaje entre sitios del evento y sitios de referencia. El trabajo de campo para paisajes sonoros se desarrolló en dos periodos de muestreo (t1 y t2) en 7 sitios de muestreo (cuatro sitios con influencia y tres de referencia). El primer muestreo (t1) se realizó desde el 14 de junio de 2018 hasta el 06 de julio de 2018 en los 7 sitios de muestreo. El segundo muestreo (t2) se realizó en dos fases: la primera desde el 26 de octubre de 2020 hasta el 14 de noviembre de 2020 para cinco sitios de muestreo (11AFE4, 18AFE1, 20AFE2, 21AFE3, y 19REF3) y la segunda, desde el 05 de octubre de 2021 hasta el 10 de octubre de 2021 para dos sitios de muestreo (14REF4 y 16REF1). El presente conjunto de datos incluye las grabaciones registradas durante el segundo periodo de muestreo. El recurso incluye 4789 grabaciones.
DOI: 10.34740/kaggle/dsv/4816451
title: Cohesin mutations in AML
DOI: 10.6084/m9.figshare.21830403
title: Data file

description: dataet for : <strong>Public awareness and knowledge about the specialty of anesthesiology and the role of anesthesiologists in Al-Qassim province, Saudi Arabia</strong>
DOI: 10.6084/m9.figshare.21830403.v1
title: Data file

description: dataet for : <strong>Public awareness and knowledge about the specialty of anesthesiology and the role of anesthesiologists in Al-Qassim province, Saudi Arabia</strong>
DOI: 10.5281/zenodo.7510351
title: Code and dataset for publication "Laser Wakefield Accelerator modelling with Variational Neural Networks"

description: Data and code for reproducing figures in published work. High Power Laser Science and Engineering https://doi.org/10.1017/hpl.2022.47 Code used various python packages including tensorflow. Conda environment was created with (on 6th Jan 2022)<br> conda create --name tf tensorflow notebook tensorflow-probability pandas tqdm scikit-learn matplotlib seaborn protobuf opencv scipy scikit-image scikit-optimize Pillow PyAbel libclang flatbuffers gast --channel conda-forge
DOI: 10.5281/zenodo.7510352
title: Code and dataset for publication "Laser Wakefield Accelerator modelling with Variational Neural Networks"

description: Data and code for reproducing figures in published work. High Power Laser Science and Engineering https://doi.org/10.1017/hpl.2022.47 Code used various python packages including tensorflow. Conda environment was created with (on 6th Jan 2022)<br> conda create --name tf tensorflow notebook tensorflow-probability pandas tqdm scikit-learn matplotlib seaborn protobuf opencv scipy scikit-image scikit-optimize Pillow PyAbel libclang flatbuffers gast --channel conda-forge
DOI: 10.25573/serc.20060657
title: 2022 Meteorological Data, Upper Chesapeake Bay, MarineGEO, Smithsonian Environmental Research Center

description: 2022 meteorological data collected on WXT536, PTB110, and LI-190R instrumentation at the MarineGEO Upper Chesapeake Bay observatory (Smithsonian Environmental Research Center, Edgewater, MD, USA). Location: 38.886928, -76.540172
DOI: 10.25573/serc.20060657.v6
title: 2022 Meteorological Data, Upper Chesapeake Bay, MarineGEO, Smithsonian Environmental Research Center

description: 2022 meteorological data collected on WXT536, PTB110, and LI-190R instrumentation at the MarineGEO Upper Chesapeake Bay observatory (Smithsonian Environmental Research Center, Edgewater, MD, USA). Location: 38.886928, -76.540172
DOI: 10.25573/serc.20060657.v5
title: 2022 Meteorological Data, Upper Chesapeake Bay, MarineGEO, Smithsonian Environmental Research Center

description: 2022 meteorological data collected on WXT536, PTB110, and LI-190R instrumentation at the MarineGEO Upper Chesapeake Bay observatory (Smithsonian Environmental Research Center, Edgewater, MD, USA). Location: 38.886928, -76.540172
DOI: 10.25573/serc.20060585
title: 2022 Water Level Data, Upper Chesapeake Bay, MarineGEO, Smithsonian Environmental Research Center

description: 2022 water level data collected on CS475A instrumentation at the MarineGEO Upper Chesapeake Bay observatory (Smithsonian Environmental Research Center, Edgewater, MD, USA). Location: 38.886928, -76.540172