cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6397568
title: Maps of soil organic carbon stocks in Brazil

description: This database was created by Gustavo Vieira Veloso and Lucas Carvalho Gomes 04/06/2022. <br> Contact: gustavo.v.veloso@gmail.com and lucascarvalhogomes15@hotmail.com <br> ------------------------------------------------------------------------------------ Maps of soil organic carbon (SOC) stocks in Brazil of the article: "Modeling and mapping soil organic carbon stocks in Brazil" (doi: 10.1016/j.geoderma.2019.01.007) The dataset is composed of five folders of SOC stocks maps at the standard depths (0–5, 5–15, 15–30, 30–60, and 60–100 cm). The maps are in Geotif format (EPSG 102015) with a spatial resolution of approximately 1 km and include the mean SOC stocks, standard deviation (SD), coefficient of variation (CV), 0.05 and 0.95 quantiles. The maps are free to use and please cite also the article:<br> Gomes, L.C., Faria, R.M., de Souza, E., Veloso, G.V., Schaefer, C.E.G., & Fernandes Filho, E.I. (2019). Modeling and mapping soil organic carbon stocks in Brazil. Geoderma, 340, 337-350.
DOI: 10.5281/zenodo.6397565
title: Maps of soil organic carbon stocks in Brazil

description: This database was created by Gustavo Vieira Veloso and Lucas Carvalho Gomes 04/06/2022. <br> Contact: gustavo.v.veloso@gmail.com and lucascarvalhogomes15@hotmail.com <br> ------------------------------------------------------------------------------------ Maps of soil organic carbon (SOC) stocks in Brazil of the article: "Modeling and mapping soil organic carbon stocks in Brazil" (doi: 10.1016/j.geoderma.2019.01.007) The dataset is composed of five folders of SOC stocks maps at the standard depths (0–5, 5–15, 15–30, 30–60, and 60–100 cm). The maps are in Geotif format (EPSG 102015) with a spatial resolution of approximately 1 km and include the mean SOC stocks, standard deviation (SD), coefficient of variation (CV), 0.05 and 0.95 quantiles. The maps are free to use and please cite also the article:<br> Gomes, L.C., Faria, R.M., de Souza, E., Veloso, G.V., Schaefer, C.E.G., & Fernandes Filho, E.I. (2019). Modeling and mapping soil organic carbon stocks in Brazil. Geoderma, 340, 337-350.
DOI: 10.5281/zenodo.8346734
title: Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula'

description: Clay, silt and sand distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The coefficient of variation and quantile data represent the spatial uncertainty of the predictions. For more information about the methodology used, users are referred to the article: Siqueira, R.G., Moquedace, C.M., Francelino, M.R., Schaefer, C.E.G.R., Fernandes-Filho, E.I., 2023. Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula. Geoderma 432, 116405. https://doi.org/10.1016/j.geoderma.2023.116405 The .zip file has the following folders: 1) soil_texture_antarctica: soil texture information containing clay, silt and sand contents 2) soil_texture_coefficient_variation: uncertainty from the coefficient of variation of the soil texture prediction 3) soil_texture_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil texture prediction 4) soil_texture_quantile05: quantile 5% of the soil texture prediction 5) soil_texture_quantile95: quantile 95% of the soil texture prediction
DOI: 10.5281/zenodo.8346735
title: Soil texture dataset from the publication: "Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula'

description: Clay, silt and sand distribution in Antarctic soils modeled and predicted through Machine Learning approaches, legacy soil data and environmental covariates. The coefficient of variation and quantile data represent the spatial uncertainty of the predictions. For more information about the methodology used, users are referred to the article: Siqueira, R.G., Moquedace, C.M., Francelino, M.R., Schaefer, C.E.G.R., Fernandes-Filho, E.I., 2023. Machine learning applied for Antarctic soil mapping: Spatial prediction of soil texture for Maritime Antarctica and Northern Antarctic Peninsula. Geoderma 432, 116405. https://doi.org/10.1016/j.geoderma.2023.116405 The .zip file has the following folders: 1) soil_texture_antarctica: soil texture information containing clay, silt and sand contents 2) soil_texture_coefficient_variation: uncertainty from the coefficient of variation of the soil texture prediction 3) soil_texture_prediction_interval: uncertainty from the prediction interval 90% (Q95% - Q5%) of the soil texture prediction 4) soil_texture_quantile05: quantile 5% of the soil texture prediction 5) soil_texture_quantile95: quantile 95% of the soil texture prediction
DOI: 10.5281/zenodo.8136971
title: MD data for "Xanomeline displays concomitant orthosteric and allosteric binding modes at the M4 mAChR".

description: MD simulations for "W.A. Burger, V. Pham, Z. Vuckovic, A.S. Powers, J.I. Mobbs, Y. Laloudakis, A. Glukhova, D. Wootten, A.B. Tobin, P.M. Sexton, S.M. Paul, C.C. Felder, R. Radostin, R.O. Dror, A. Christopoulos, C. Valant, and D.M. Thal. Xanomeline displays concomitant orthosteric and allosteric binding modes at the M4 mAChR. Nature Communications, 14(1): 5440 (2023)."
description: Trajectories are in .dcd format and parameters/structures in .psf format.
DOI: 10.5281/zenodo.8136970
title: MD data for "Xanomeline displays concomitant orthosteric and allosteric binding modes at the M4 mAChR".

description: MD simulations for "W.A. Burger, V. Pham, Z. Vuckovic, A.S. Powers, J.I. Mobbs, Y. Laloudakis, A. Glukhova, D. Wootten, A.B. Tobin, P.M. Sexton, S.M. Paul, C.C. Felder, R. Radostin, R.O. Dror, A. Christopoulos, C. Valant, and D.M. Thal. Xanomeline displays concomitant orthosteric and allosteric binding modes at the M4 mAChR. Nature Communications, 14(1): 5440 (2023)."
description: Trajectories are in .dcd format and parameters/structures in .psf format.
DOI: 10.24432/c5m91z
title: Product Classification and Clustering
DOI: 10.18112/openneuro.ds004775.v1.1.0
title: Neurophysiology of Entertainment Dynamics and Connectivity of the Brain's Emotional Circuits
DOI: 10.6084/m9.figshare.24195234
title: Book "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches" / Chapter 7

description: Supplementary Data for the book entitled "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches". The book is edited by Thiago Verano-Braga
DOI: 10.6084/m9.figshare.24195234.v1
title: Book "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches" / Chapter 7

description: Supplementary Data for the book entitled "Human diseases, diagnostics and potential treatments dissected by mass spectrometry-based approaches". The book is edited by Thiago Verano-Braga
DOI: 10.34943/fa7f8788-8d1c-426a-995d-b236c80cb91e
title: Folger Deep Echosounder, Bioacoustic Deployed 2020-03-08

description: The BioSonics DT-Xu Scientific Echosounder was deployed on 2020-03-08 at Folger Deep. Folger Deep is a deep location in Folger Passage near a pillar-like seamount, where productivity and marine mammals are observed. This device is a Echosounder, Bioacoustic. Echosounders are used to measure acoustic backscatter as a proxy for detecting zooplankton, fish, bubbles or other particles in the water-column. An echosounder has one or more transducers which emit acoustic pulses at a particular frequency. When the pulses strike animals or other objects in the water, echoes are produced, which can be detected and converted by the transducers back into electrical signals. Software is then used to determine distances, sizes, concentrations and movements of organisms and other objects in the water. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/b628d50c-a068-4769-8e5b-c27defcfbb82
title: Folger Deep Echosounder, Bioacoustic Deployed 2020-03-08

description: The BioSonics DT-Xu Scientific Echosounder was deployed on 2020-03-08 at Folger Deep. Folger Deep is a deep location in Folger Passage near a pillar-like seamount, where productivity and marine mammals are observed. This device is a Echosounder, Bioacoustic. Echosounders are used to measure acoustic backscatter as a proxy for detecting zooplankton, fish, bubbles or other particles in the water-column. An echosounder has one or more transducers which emit acoustic pulses at a particular frequency. When the pulses strike animals or other objects in the water, echoes are produced, which can be detected and converted by the transducers back into electrical signals. Software is then used to determine distances, sizes, concentrations and movements of organisms and other objects in the water. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.23681493
title: Figure 1 and Figures S1 and S2: Behavior and physiology data

description: Effects of stress on social behavior and developmental trajectory of puberty in California mice.
DOI: 10.6084/m9.figshare.23681514
title: Figure 2 and S3

description: Effects of prepubertal castration on social behavior
DOI: 10.6084/m9.figshare.23681514.v1
title: Figure 2 and S3

description: Effects of prepubertal castration on social behavior
DOI: 10.6084/m9.figshare.23929644
title: Figure 5 and Figure S6

description: Cell count data for analyses of oxytocin/c-fos colocalizations and c-fos positive cells from figures 5 and S6
DOI: 10.6084/m9.figshare.23929644.v1
title: Figure 5 and Figure S6

description: Cell count data for analyses of oxytocin/c-fos colocalizations and c-fos positive cells from figures 5 and S6
DOI: 10.5517/ccdc.csd.cc2g3k8f
title: CCDC 2267534: Experimental Crystal Structure Determination

description: Related Article: Xin Xie, He Huang, Yu Fan, Yuan Luo, Qiwen Pang, Xiang Li, Wei Huang|2023|Org.Biomol.Chem.|21|7300|doi:10.1039/D3OB01063E
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.cc2g3ps2
title: CCDC 2267674: Experimental Crystal Structure Determination

description: Related Article: Emily R. Sherman, William R. Cassels, Jeffrey S. Johnson|2023|Org.Lett.|25|6779|doi:10.1021/acs.orglett.3c02799
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.cc2g57kg
title: CCDC 2269155: Experimental Crystal Structure Determination

description: Related Article: Qiwen Gao, Liuting Luo, Chen Chen, Kangmei Wen, Zhibo Zhu, Xiaodong Tang|2023|J.Org.Chem.|88|13303|doi:10.1021/acs.joc.3c01610
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.cc2g6h28
title: CCDC 2270349: Experimental Crystal Structure Determination

description: Related Article: Ram Singh Jat, M. Bhanuchandra|2023|J.Org.Chem.|88|13184|doi:10.1021/acs.joc.3c01387
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.cc2g6h39
title: CCDC 2270350: Experimental Crystal Structure Determination

description: Related Article: Ram Singh Jat, M. Bhanuchandra|2023|J.Org.Chem.|88|13184|doi:10.1021/acs.joc.3c01387
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.cc2gfnvf
title: CCDC 2277255: Experimental Crystal Structure Determination

description: Related Article: Thomas Sephton, Jonathan M. Large, Sam Butterworth, Michael F. Greaney|2023|Org.Lett.|25|6736|doi:10.1021/acs.orglett.3c02559
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.cc2gfp0m
title: CCDC 2277260: Experimental Crystal Structure Determination

description: Related Article: Thomas Sephton, Jonathan M. Large, Sam Butterworth, Michael F. Greaney|2023|Org.Lett.|25|6736|doi:10.1021/acs.orglett.3c02559
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.cc2gh1yz
title: CCDC 2278591: Experimental Crystal Structure Determination

description: Related Article: Hosahalli S. Udaya, Vishnu Mishra, Tullimilli Y. Gopalakrishna, Venkataramanarao G. Anand|2023|Org.Lett.|25|6628|doi:10.1021/acs.orglett.3c02328
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: 10.24432/c5gg7q
title: Large-scale Wave Energy Farm
DOI: 10.6084/m9.figshare.24195288
title: example input for ICEcream

description: example input folder for ICEcream
DOI: 10.6084/m9.figshare.24195288.v1
title: example input for ICEcream

description: example input folder for ICEcream
DOI: 10.5281/zenodo.8378102
title: Sacubitril/valsartan in the treatment of heart failure: Dataset from Systematic Review

description: Sacubitril/valsartan in the treatment of heart failure: Dataset from Systematic Review
DOI: 10.5281/zenodo.8378101
title: Sacubitril/valsartan in the treatment of heart failure: Dataset from Systematic Review

description: Sacubitril/valsartan in the treatment of heart failure: Dataset from Systematic Review
DOI: 10.25345/c5st7f71k
title: MassIVE MSV000092958 - Borg5/Cdc42EP curbs Septin dependent stress fiber formation by antagonizing alpha Actinin 4 and Myosin IIA
title: The Borg5/Cdc42EP family comprises septin binding proteins, which are known to participate in septin-dependent stress fiber formation. We show here that epithelial Borg5/Cdc42Ep1 restrains stress fibers instead. Borg5 decorates septin filament-aligned thin F-actin filaments under the nucleus of MDCK cells, which in Borg5 depleted cells are replaced by thick stellate stress fibers. These associate with either cell-substratum- or cell-cell- adhesions, increasing tension on E-cadherin based junctions and causing MDCK cells to undergo collective streaming. We identified two known septin partners, Myosin-IIA and alpha Actinin 4 (ACTN4), among proteins that co isolated with Borg5 from MDCK lysates. We found that Borg5 binds Myosin-IIA and ACTN4 directly and negatively regulates their F-actin association. Since both septin partners along with Septins 2 and 9 were furthermore required for the Borg5 depletion-induced F actin phenotype, we propose that Borg5 prevents stellate stress fiber formation by counteracting septin dependent ACTN4 and Myosin IIA activities. The mass spectrometry raw files and search results for Borg 5 affinity purifications are deposited here.
DOI: 10.5281/zenodo.8041440
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ethelwynn Trewavas, http://www.wikidata.org/entity/Q462110. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q462110
DOI: 10.5281/zenodo.8041439
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ethelwynn Trewavas, http://www.wikidata.org/entity/Q462110. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q462110
DOI: 10.5281/zenodo.8378119
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ethelwynn Trewavas, http://www.wikidata.org/entity/Q462110. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q462110
DOI: 10.6084/m9.figshare.24195309
title: Landscape and environmental var.xlsx

description: Landscape data in 20 coastal recalmation sites
DOI: 10.6084/m9.figshare.24195309.v1
title: Landscape and environmental var.xlsx

description: Landscape data in 20 coastal recalmation sites
DOI: 10.5281/zenodo.8378121
title: All raw data for "Tributary mitigates river discontinuity by dam depending on the distance from dam to the tributary confluence"

description: All raw data for "Tributary mitigates river discontinuity by dam depending on the distance from dam to the tributary confluence". The units of the variables were shown in the paper. "quadrate" means the number of each quadrate site in each study reach for measuring the variables.
DOI: 10.5281/zenodo.8378120
title: All raw data for "Tributary mitigates river discontinuity by dam depending on the distance from dam to the tributary confluence"

description: All raw data for "Tributary mitigates river discontinuity by dam depending on the distance from dam to the tributary confluence". The units of the variables were shown in the paper. "quadrate" means the number of each quadrate site in each study reach for measuring the variables.
DOI: 10.5281/zenodo.8035180
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laurent Aké Assi, http://www.wikidata.org/entity/Q10316563. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q10316563
DOI: 10.5281/zenodo.8378131
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Laurent Aké Assi, http://www.wikidata.org/entity/Q10316563. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q10316563
DOI: 10.6084/m9.figshare.24195303
title: Anuran data.xlsx

description: Anuran survey in Nanhui Dongtan, Shanghai, China
DOI: 10.6084/m9.figshare.24195303.v1
title: Anuran data.xlsx

description: Anuran survey in Nanhui Dongtan, Shanghai, China
DOI: 10.6084/m9.figshare.24195291
title: Tabela de Recursos e Usos do Pará - 2017 atualizada

description: A Tabela de Recursos e Usos foi atualizada conforme (i) atualização dos valores pelo IBGE, em especial nos dados referentes aos valores do Consumo Intermediário e Valor Adicionado das atividades e (ii) nível de abertura do setor "Água, esgoto e gestão de resíduos" para ficar compatível com dados do Valor Adicionado municipal.
DOI: 10.6084/m9.figshare.24195291.v1
title: Tabela de Recursos e Usos do Pará - 2017 atualizada

description: A Tabela de Recursos e Usos foi atualizada conforme (i) atualização dos valores pelo IBGE, em especial nos dados referentes aos valores do Consumo Intermediário e Valor Adicionado das atividades e (ii) nível de abertura do setor "Água, esgoto e gestão de resíduos" para ficar compatível com dados do Valor Adicionado municipal.