cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34619/3ktp-1816
title: Quantification of intracellular metabolites in Escherichia coli K12 using liquid chromatographic-electrospray ionization tandem mass spectrometric techniques [Datasets]

description: Data from the manuscript: Buchholz A, Takors R, Wandrey C. Quantification of intracellular metabolites in Escherichia coli K12 using liquid chromatographic-electrospray ionization tandem mass spectrometric techniques. Anal Biochem. 2001;295(2):129-137. doi:10.1006/abio.2001.5183
DOI: 10.5281/zenodo.3964430
title: Dataset for: "The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval"

description: This is the data package accompanying the publication: The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval Accepted for publication in A&A
DOI: 10.5281/zenodo.3935296
title: Dataset for: "The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval"

description: This is the data package accompanying the publication: The ARCiS framework for Exoplanet Atmospheres: Modelling Philosophy and Retrieval Accepted for publication in A&A
DOI: 10.34619/5zhw-s051
title: Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary 13C flux analysis [Datasets]

description: Data from the manuscript: Jordà J, Suarez C, Carnicer M, et al. Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary ¹³C flux analysis. BMC Syst Biol. 2013;7:17. Published 2013 Feb 28. doi:10.1186/1752-0509-7-17
DOI: 10.5281/zenodo.3964445
title: Reports about the software behaviour delivered within the GeoBIM benchmark 2019 - Task 1

description: <strong>Answers delivered through the online forms</strong>, about the tests performed by participants within the <strong>Task 1 - support for IFC</strong> of the <strong>GeoBIM benchmark 2019</strong>, funded as a Scientific Initiative 2019 by the International Society of Photogrammetry and Remote Sensing (ISPRS) and co-funded by the European association for Spatial Data Research (EuroSDR). Full details and additional resources about the project are available in the project website: https://3d.bk.tudelft.nl/projects/geobim-benchmark/ The dataset results from the collaboration of the authors with all the participants to the benchmark, listed at https://3d.bk.tudelft.nl/projects/geobim-benchmark/participants.html It is composed by 4 files: - the answers to the delivered online forms, organised in excel sheet; - the same answers organised in a more human-readable PDF, with reliable images and links; - the answers regarding the IFCgeometries dataset in IFC 2x3 format, in excel; - the answers regarding the IFCgeometries dataset in IFC 4 format, in excel.
DOI: 10.5281/zenodo.3833835
title: Generative Fourier-based Auto-Encoders:Preliminary Results Dataset

description: UrbanSound8K Dataset snapshot used for the "Generative Fourier-based Auto-Encoders: Preliminary Results" paper. Only the sounds tagged "dog_bark" are present in this small dataset
DOI: 10.5281/zenodo.3833834
title: Generative Fourier-based Auto-Encoders:Preliminary Results Dataset

description: UrbanSound8K Dataset snapshot used for the "Generative Fourier-based Auto-Encoders: Preliminary Results" paper. Only the sounds tagged "dog_bark" are present in this small dataset
DOI: 10.25810/8pez-h060.6
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2020 - June 2020

description: The Media and Climate Change Observatory Data monitors 117 sources (across newspapers, radio and TV) in 53 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.34619/8tbx-m638
title: Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics ans instationary 13C flux analysis [Datasets]

description: Data from the manuscript: Jordà J, Suarez C, Carnicer M, et al. Glucose-methanol co-utilization in Pichia pastoris studied by metabolomics and instationary ¹³C flux analysis. BMC Syst Biol. 2013;7:17. Published 2013 Feb 28. doi:10.1186/1752-0509-7-17
DOI: 10.34619/054k-yg38
title: Dynamics and control of the central carbon metabolism in Hepatoma cells [Datasets]

description: Data from the manuscript: Maier K, Hofmann U, Reuss M, Mauch K. Dynamics and control of the central carbon metabolism in hepatoma cells. BMC Syst Biol. 2010;4:54. Published 2010 Apr 28. doi:10.1186/1752-0509-4-54
DOI: 10.25810/558f-c477.27
title: Australian Newspaper Coverage of Climate Change or Global Warming, 2000-2020 - June 2020

description: The Media and Climate Change Observatory Data monitors 117 sources (across newspapers, radio and TV) in 53 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.3685957
title: New insights into fungal-fungal interactions at the cellular level using a microfluidic device

description: Routinely, fungal-fungal interactions (FFIs) are studied on agar surfaces. However, this experimental format restricts high-resolution dynamic imaging. To gain experimental access to FFIs at the hyphal level in real-time, we developed a microfluidic platform, the FFI device, which utilises microchannel geometry to enhance the visibility of hyphal growth and provides control channels to allow comparisons between localised and systemic effects. We demonstrate its function by investigating the FFI between the biological control agent (BCA) <em>Clonostachys rosea </em>and the plant pathogen <em>Fusarium graminearum. </em>Microscope image analyses confirm the inhibitory effect of the necrotrophic BCA and we show for the first time that a loss of fluorescence in parasitised hyphae of GFP-tagged <em>F. graminearum </em>coincides with the detection of GFP in the mycelium of <em>C. rosea</em>. The versatility of our device to operate under both saturated and unsaturated conditions, coupled with its spatio-temporal output, opens new opportunities to study relationships between fungi.Routinely, fungal-fungal interactions (FFIs) are studied on agar surfaces. However, this experimental format restricts high-resolution dynamic imaging. To gain experimental access to FFIs at the hyphal level in real-time, we developed a microfluidic platform, the FFI device, which utilises microchannel geometry to enhance the visibility of hyphal growth and provides control channels to allow comparisons between localised and systemic effects. We demonstrate its function by investigating the FFI between the biological control agent (BCA) <em>Clonostachys rosea </em>and the plant pathogen <em>Fusarium graminearum. </em>Microscope image analyses confirm the inhibitory effect of the necrotrophic BCA and we show for the first time that a loss of fluorescence in parasitised hyphae of GFP-tagged <em>F. graminearum </em>coincides with the detection of GFP in the mycelium of <em>C. rosea</em>. The versatility of our device to operate under both saturated and unsaturated conditions, coupled with its spatio-temporal output, opens new opportunities to study relationships between fungi.
DOI: 10.5517/ccdc.csd.cc1p69ck
title: CCDC 1555188: Experimental Crystal Structure Determination

description: Related Article: Júlia Mayans, Mercè Font-Bardia, Albert Escuer|2020|Dalton Trans.|49|4216|doi:10.1039/D0DT00540A
DOI: 10.25505/fiz.icsd.cc1xjj32
title: CSD 1773544: Experimental Crystal Structure Determination

description: Related Article: Michael Ruck|2001|Solid State Sciences|3|369|doi:10.1016/S1293-2558(00)01104-3
DOI: 10.5517/ccdc.csd.cc236xmw
title: CCDC 1943068: Experimental Crystal Structure Determination

description: Related Article: Jian-Xin Wang, Yi-Shuai Yu, Li-Ya Niu, Bo Zou, Kai Wang, Qing-Zheng Yang|2020|Chem.Commun.|56|6269|doi:10.1039/D0CC01505A
DOI: 10.5517/ccdc.csd.cc236xnx
title: CCDC 1943069: Experimental Crystal Structure Determination

description: Related Article: Jian-Xin Wang, Yi-Shuai Yu, Li-Ya Niu, Bo Zou, Kai Wang, Qing-Zheng Yang|2020|Chem.Commun.|56|6269|doi:10.1039/D0CC01505A
DOI: 10.5517/ccdc.csd.cc2378xk
title: CCDC 1943418: Experimental Crystal Structure Determination

description: Related Article: Nazanin Kordestani, Hadi Amiri Rudbari, Giuseppe Bruno, Scopelliti Rosario, Jason D. Braun, David E. Herbert, Olivier Blacque, Isabel Correia, Mohammad Al-moktadir Zaman, Mortuza Mamun Bindu, Christoph Janiak, Mohammed Enamullah|2020|Dalton Trans.|49|8247|doi:10.1039/D0DT01649G
DOI: 10.5517/ccdc.csd.cc235j4z
title: CCDC 1941720: Experimental Crystal Structure Determination

description: Related Article: Jin Jianqun|2019|CSD Communication|||
description: Related Article: Jianqun Jin,  Shanyu Wu,  Yudong Ma,  Caiqiao Dong,  Wei Wang,  Xitong Liu,  Haixiao Xu,  Guankui Long,  Mingtao Zhang,  Jing Zhang,  Wei Huang|2020|ACS Applied Materials and Interfaces|12|19718|doi:10.1021/acsami.9b23590
DOI: 10.5517/ccdc.csd.cc23x7cn
title: CCDC 1963551: Experimental Crystal Structure Determination

description: Related Article: Igor Huskić, Mihails Arhangelskis, Tomislav Friščić|2020|Green Chemistry|22|4364|doi:10.1039/D0GC00454E
DOI: 10.5517/ccdc.csd.cc23x7gr
title: CCDC 1963554: Experimental Crystal Structure Determination

description: Related Article: Igor Huskić, Mihails Arhangelskis, Tomislav Friščić|2020|Green Chemistry|22|4364|doi:10.1039/D0GC00454E
DOI: 10.5517/ccdc.csd.cc23ym5w
title: CCDC 1964878: Experimental Crystal Structure Determination

description: Related Article: Nazanin Kordestani, Hadi Amiri Rudbari, Giuseppe Bruno, Scopelliti Rosario, Jason D. Braun, David E. Herbert, Olivier Blacque, Isabel Correia, Mohammad Al-moktadir Zaman, Mortuza Mamun Bindu, Christoph Janiak, Mohammed Enamullah|2020|Dalton Trans.|49|8247|doi:10.1039/D0DT01649G
DOI: 10.34619/9rzz-7550
title: The selective control of glycolysis, gluconeogenesis and glycogenesis by temporal insulin patterns [Datasets]

description: Data from the manuscript: Noguchi R, Kubota H, Yugi K, et al. The selective control of glycolysis, gluconeogenesis and glycogenesis by temporal insulin patterns. Mol Syst Biol. 2013;9:664. Published 2013 May 14. doi:10.1038/msb.2013.19
DOI: 10.5517/ccdc.csd.cc244krm
title: CCDC 1970600: Experimental Crystal Structure Determination

description: Related Article: Bin Cheng, Xinping Zhang, Yuntong Li, Hui Li, Yixuan He, Yun Li, Taimin Wang, Hongbin Zhai|2020|Chem.Commun.|56|8396|doi:10.1039/D0CC03446K
DOI: 10.5517/ccdc.csd.cc247f94
title: CCDC 1973345: Experimental Crystal Structure Determination

description: Related Article: Luca Fornasari, Anna Olejniczak, Federica Rossi, Simone d'Agostino, Michele R. Chierotti, Roberto Gobetto, Andrzej Katrusiak, Dario Braga|2020|Chem.-Eur.J.|26|5061|doi:10.1002/chem.201905744
DOI: 10.5517/ccdc.csd.cc24c9f8
title: CCDC 1977069: Experimental Crystal Structure Determination

description: Related Article: Ya-Yuan Luo, Zhi-Xu Zhang, Chan-Yuan Su, Wan-Ying Zhang, Ping-Ping Shi, Qiong Ye, Da-Wei Fu|2020|J.Mater.Chem.C|8|7089|doi:10.1039/D0TC00266F
DOI: 10.5517/ccdc.csd.cc24c9jc
title: CCDC 1977072: Experimental Crystal Structure Determination

description: Related Article: Ya-Yuan Luo, Zhi-Xu Zhang, Chan-Yuan Su, Wan-Ying Zhang, Ping-Ping Shi, Qiong Ye, Da-Wei Fu|2020|J.Mater.Chem.C|8|7089|doi:10.1039/D0TC00266F
DOI: 10.5517/ccdc.csd.cc24dw8q
title: CCDC 1978583: Experimental Crystal Structure Determination

description: Related Article: Debashish Mishra, Arun Jyoti Borah, Pinakinee Phukan, Debojit Hazarika, Prodeep Phukan|2020|Chem.Commun.|56|8408|doi:10.1039/D0CC02430A
DOI: 10.5517/ccdc.csd.cc24hzrd
title: CCDC 1981574: Experimental Crystal Structure Determination

description: Related Article: Uxua Huizi-Rayo, Andoni Zabala-Lekuona, Alessio Terenzi, Carlos M. Cruz, Juan M. Cuerva, Antonio Rodríguez-Diéguez, Jose Angel García, José M. Seco, Eider San Sebastian, Javier Cepeda|2020|J.Mater.Chem.C|8|8243|doi:10.1039/D0TC00736F
DOI: 10.5517/ccdc.csd.cc24hzsf
title: CCDC 1981575: Experimental Crystal Structure Determination

description: Related Article: Uxua Huizi-Rayo, Andoni Zabala-Lekuona, Alessio Terenzi, Carlos M. Cruz, Juan M. Cuerva, Antonio Rodríguez-Diéguez, Jose Angel García, José M. Seco, Eider San Sebastian, Javier Cepeda|2020|J.Mater.Chem.C|8|8243|doi:10.1039/D0TC00736F
DOI: 10.5517/ccdc.csd.cc24nndw
title: CCDC 1986058: Experimental Crystal Structure Determination

description: Related Article: Siyuan Sun, Pavel Nagorny|2020|Chem.Commun.|56|8432|doi:10.1039/D0CC03088K
DOI: 10.5517/ccdc.csd.cc224jxp
title: CCDC 1910992: Experimental Crystal Structure Determination

description: Related Article: Carlos Bartual-Murgui, Víctor Rubio-Giménez, Manuel Meneses-Sánchez, Francisco Javier Valverde-Muñoz, Sergio Tatay, Carlos Martí-Gastaldo, M. Carmen Muñoz, José Antonio Real|2020|ACS Applied Materials and Interfaces|12|29461|doi:10.1021/acsami.0c05733
DOI: 10.5517/ccdc.csd.cc24rwc5
title: CCDC 1989157: Experimental Crystal Structure Determination

description: Related Article: Carlos Bartual-Murgui, Víctor Rubio-Giménez, Manuel Meneses-Sánchez, Francisco Javier Valverde-Muñoz, Sergio Tatay, Carlos Martí-Gastaldo, M. Carmen Muñoz, José Antonio Real|2020|ACS Applied Materials and Interfaces|12|29461|doi:10.1021/acsami.0c05733
DOI: 10.5517/ccdc.csd.cc24rwd6
title: CCDC 1989158: Experimental Crystal Structure Determination

description: Related Article: Carlos Bartual-Murgui, Víctor Rubio-Giménez, Manuel Meneses-Sánchez, Francisco Javier Valverde-Muñoz, Sergio Tatay, Carlos Martí-Gastaldo, M. Carmen Muñoz, José Antonio Real|2020|ACS Applied Materials and Interfaces|12|29461|doi:10.1021/acsami.0c05733
DOI: 10.34619/pzwd-f936
title: Temporal system-level organization of the switch from glycolytic to gluconeogenic operation in yeast [Datasets]

description: Data from the manuscript: Zampar GG, Kümmel A, Ewald J, et al. Temporal system-level organization of the switch from glycolytic to gluconeogenic operation in yeast. Mol Syst Biol. 2013;9:651. doi:10.1038/msb.2013.11
DOI: 10.5281/zenodo.3888454
title: Global pattern formation of net ocean surface heat flux response to greenhouse warming

description: Datasets used for figures in the following paper. Hu, S., Xie, S. P., and Liu, W. (2020) Global pattern formation of net ocean surface heat flux changes in a warming climate. J. Clim., doi: https://doi.org/10.1175/JCLI-D-19-0642.1.
DOI: 10.5281/zenodo.3888453
title: Global pattern formation of net ocean surface heat flux response to greenhouse warming

description: Datasets used for figures in the following paper. Hu, S., Xie, S. P., and Liu, W. (2020) Global pattern formation of net ocean surface heat flux changes in a warming climate. J. Clim., doi: https://doi.org/10.1175/JCLI-D-19-0642.1.
DOI: 10.5281/zenodo.3964465
title: Indian Ocean warming as a driver of the North Atlantic warming hole

description: Datasets and code used for figures in the following paper. Hu, S., and Fedorov, A. V. (2020) Indian Ocean warming as a driver of the North Atlantic warming hole. Nature Communications, under review.
DOI: 10.5281/zenodo.3964464
title: Indian Ocean warming as a driver of the North Atlantic warming hole

description: Datasets and code used for figures in the following paper. Hu, S., and Fedorov, A. V. (2020) Indian Ocean warming as a driver of the North Atlantic warming hole. Nature Communications, under review.
DOI: 10.17632/ryxm8gtwnk.1
title: Data for: A solution-processed ZnO quantum dots ultraviolet photodetector with high performance driven by low operating voltage

description: The data include the datat of wavelength-dependent responsivity spectrum, I-V, time-dependent photocurrent response and normalized response of the ZnO quantum dots UV photodetector.
DOI: 10.34619/387t-p428
title: Temporal system-level organization of the switch from glycolytic to gluconeogenic operation in yeast [Datasets]

description: Data from the manuscript: Zampar GG, Kümmel A, Ewald J, et al. Temporal system-level organization of the switch from glycolytic to gluconeogenic operation in yeast. Mol Syst Biol. 2013;9:651. doi:10.1038/msb.2013.11
DOI: 10.34619/bspb-ek47
title: Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli [Datasets]

description: Data from the manuscript: Yuan J, Doucette CD, Fowler WU, et al. Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli. Mol Syst Biol. 2009;5:302. doi:10.1038/msb.2009.60
DOI: 10.34619/z4tb-zk02
title: Impact of global transcriptional regulation by arcA, arcB, cra, crp, cya, fnr, and mlc on glucose catabolism in Escherichia coli [Datasets]

description: Data from the manuscript: Perrenoud A, Sauer U. Impact of global transcriptional regulation by ArcA, ArcB, Cra, Crp, Cya, Fnr, and Mlc on glucose catabolism in Escherichia coli. J Bacteriol. 2005;187(9):3171-3179. doi:10.1128/JB.187.9.3171-3179.2005
DOI: 10.34619/5n39-r321
title: Nonlinear dependency of intracellular fluxes on growth rate in miniaturized continuous cultures of Escherichia coli [Datasets]

description: Data from the manuscript: Nanchen A, Schicker A, Sauer U. Nonlinear dependency of intracellular fluxes on growth rate in miniaturized continuous cultures of Escherichia coli. Appl Environ Microbiol. 2006;72(2):1164-1172. doi:10.1128/AEM.72.2.1164-1172.2006
DOI: 10.17609/q5pe-7r68
title: Geospatial Data: Carbon Opportunity Cost of Animal-Sourced Food Production on Land

description: This multi-band raster data represents estimates of carbon opportunity cost. The data is captured at a resolution of 5 arcminutes over the global domain and is derived from data collected approximately over the past two decades (2000-2020). The pixel values measure estimates in tonnes of potential vegetation per hectare that are suppressed by pasturelands and present-day feed crops. The bands represent three estimates of carbon in potential vegetation: median, low (5th percentile), and high (95th percentile). The animal carbon opportunity cost data represents hectacres of pastureland that are currently occupied by feed crops. The pixel band ranges represent two estimated values: areas sourced from the lowest carbon areas and areas sourced from the highest carbon areas.This data is released with an Attribution 4.0 International (CC BY 4.0) license.
DOI: 10.21227/kr24-c416
title: FruitsGB: Top Indian Fruits with quality

description: INDIA is the second-largest fruit and vegetable exporter in the world after China. It ranked first in the production of Bananas, Papayas, and Mangoes. Public datasets of fruits are available but they are limited to general fruit classes and failed to classify the fruits according to the fruit quality. To overcome this problem, we have created a dataset named FruitsGB (Fruits Good/Bad) dataset.The main objectives to create this dataset were: 1) Target the top six Indian fruits which are exported or highly consumed. 2) Create a dataset for fruit classification with the quality of fruit. 3) Dataset consists of 12000 high-quality images of 12 different classes of fruits.We use mobile phones rear camera to take the images of fruits. The dataset consists of total 12000 images with 12 classes namely, Bad Apple, Good Apple, Bad Banana, Good Banana, Bad Guava, Good Guava, Bad Lime, Good Lime, Bad Orange, Good Orange, Bad Pomegranate, and Good Pomegranate. In the dataset, each class consists of 1000 images of size 256x256. The images had taken with different angles, with different backgrounds, and in different lighting conditions. As we considered the most consumed fruits this dataset is very useful for researchers.
DOI: 10.34619/1d7d-0664
title: Invariability of central metabolic flux distribution in Shewanella oneidensis MR-1 under environmental or genetic perturbations [Datasets]

description: Data from the manuscript: Tang YJ, Martin HG, Deutschbauer A, et al. Invariability of central metabolic flux distribution in Shewanella oneidensis MR-1 under environmental or genetic perturbations. Biotechnol Prog. 2009;25(5):1254-1259. doi:10.1002/btpr.227
DOI: 10.5066/p9bg3vkp
title: Geospatial Data to Support Estimates of Annual Groundwater Discharge by Evapotranspiration from Areas of Spring-Fed Riparian Vegetation, Stump Spring and Hiko Springs, Clark County, Nevada

description: This USGS data release, supporting USGS Scientific Investigations Report 2020-5075, Estimates of Groundwater Discharge by Evapotranspiration, Stump Spring and Hiko Springs, Clark County, Southern Nevada, 2016-18, consists of five datasets - Normalized Difference Vegetation Indexes (NDVI) and a mapped groundwater discharge areas (GDA) for two spring areas, and a two-class land cover classification for Stump Springs and the Area of Critical Environmental Concern (ACEC) adjacent to Stump Springs. The mapped GDAs are the area within each spring's riparian area where discharge from evaporation by open water or bare soil and transpiration from phreatophytic plants exceeds the volume of water contributed by precipitation. The GDAs were delineated from visual interpretation of 2015 National Agricultural Imagery Program (NAIP) imagery and 2016 and 2017 WorldView 2 imagery. The WorldView 2 imagery, NDVI based on the Worldview 2 imagery, and two-class land cover classification each were used to estimate the area of riparian vegetation within the GDA.
DOI: 10.34619/7bxr-2h93
title: An integrated computational and experimental study for overproducing fatty acids in Escherichia coli [Datasets]

description: Data from the manuscript: Ranganathan S, Tee TW, Chowdhury A, et al. An integrated computational and experimental study for overproducing fatty acids in Escherichia coli. Metab Eng. 2012;14(6):687-704. doi:10.1016/j.ymben.2012.08.008
DOI: 10.21227/0fhp-ym62
title: FruitsGB: Top Indian Fruits with quality

description: INDIA is the second-largest fruit and vegetable exporter in the world after China. It ranked first in the production of Bananas, Papayas, and Mangoes. Public datasets of fruits are available but they are limited to general fruit classes and failed to classify the fruits according to the fruit quality. To overcome this problem, we have created a dataset named FruitsGB (Fruits Good/Bad) dataset.The main objectives to create this dataset were: 1) Target the top six Indian fruits which are exported or highly consumed. 2) Create a dataset for fruit classification with the quality of fruit. 3) Dataset consists of 12000 high-quality images of 12 different classes of fruits.We use mobile phones rear camera to take the images of fruits. The dataset consists of total 12000 images with 12 classes namely, Bad Apple, Good Apple, Bad Banana, Good Banana, Bad Guava, Good Guava, Bad Lime, Good Lime, Bad Orange, Good Orange, Bad Pomegranate, and Good Pomegranate. In the dataset, each class consists of 1000 images of size 256x256. The images had taken with different angles, with different backgrounds, and in different lighting conditions. As we considered the most consumed fruits this dataset is very useful for researchers.