cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/w66v-nr34
title: AURORA, A multi sensor dataset for robotic ocean exploration

description: The current maturity of autonomous underwater vehicles (AUVs) has made their deployment practical and cost-effective, such that many scientific, industrial and military applications now include AUV operations. However, the logistical difficulties and high costs of operating at-sea are still critical limiting factors in further technology development, the benchmarking of new techniques and the reproducibility of research results. To overcome this problem, we present a freely available dataset suitable to test control, navigation, sensor processing algorithms and others tasks. This dataset combines AUV navigation data, side-scan sonar, multibeam echosounder data and seafloor camera image data, and associated sensor acquisition meta-data to provide a detailed characterisation of surveys carried out by the National Oceanography Centre (NOC) in the Greater Haig Fras Marine Conservazion Zone (MCZ) of the U.K in 2015.
DOI: 10.34725/dvn/ipaijv/ookatl
title: 0.IKI_treeheights_form.xls

description: Questionnaire: ODK form
DOI: 10.34725/dvn/ipaijv/ogs0iw
title: 2.Honduras_treeheight_form_treeheight.xlsx

description: Tree height information table
DOI: 10.34725/dvn/ipaijv/aa42wv
title: 1.Honduras_treeheight_form_idvariables.xlsx

description: Main variables data
DOI: 10.34725/dvn/ipaijv/vanwab
title: 2.Honduras_treeheight_form_treeheight_v2.tab

description: Cleaned tree height data
DOI: 10.34725/dvn/ipaijv
title: Farm inventory surveys in Honduras: Tree heights data

description: Tree heights data from Honduras
DOI: 10.25345/c53j4g
title: MassIVE MSV000086431 - test upload to assess ability of website to deal with my mzml files
title: Test to see if the mzML files that I have uploaded are capable of being opened properly
DOI: 10.5519/qd.84ufash5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.7519823
title: Supplementary data for Coiro, Doyle and Hilton

description: Data and script used to generate the graph in Figure 4 in Coiro, Doyle and Hilton.<br>data.csv : Pollen data in a tabular formattree.nex: tree for analysis<br>Script.r: R scriptmagallon_tree aperture data.nex : nexus version of the data and tree including only angiosperms.<br>
DOI: 10.6084/m9.figshare.7519823.v1
title: Supplementary data for Coiro, Doyle and Hilton

description: Data and script used to generate the graph in Figure 4 in Coiro, Doyle and Hilton.<br>data.csv : Pollen data in a tabular formattree.nex: tree for analysis<br>Script.r: R scriptmagallon_tree aperture data.nex : nexus version of the data and tree including only angiosperms.<br>
DOI: 10.15468/dvb7fv
title: Marine Invertebrates of commercial interest at North of San Jorge Gulf, Patagonia, Argentina

description: Dataset with occurrence, abundance and biomass of volutid snails (2 species) and infaunal and epibenthic bivalves (5 species) of commercial interest for the artisanal fisheries at the North region of the San Jorge Gulf, Patagonia. Survey carried out in 1999 by expert researchers of Research Council of Argentina, commissioned by the provincial administration to identify areas with biomass of invertebrates with potential for commercial capture. The data were stored in digital support by the Fishing Agency of Chubut Province, Argentina.
DOI: 10.5519/qd.n7oqwhtl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4266291
title: Growing old – do women and men age differently?

description: Template and data used in the project "Growing old – do women and men age differently?"
DOI: 10.5281/zenodo.4266290
title: Growing old – do women and men age differently?

description: Template and data used in the project "Growing old – do women and men age differently?"
DOI: 10.5281/zenodo.4266270
title: 3D Modelling of Craniofacial Ontogeny and Sexual Dimorphism in Children

description: Template and data used in the project "3D Modelling of Craniofacial Ontogeny and Sexual Dimorphism in Children"
DOI: 10.5281/zenodo.4266269
title: 3D Modelling of Craniofacial Ontogeny and Sexual Dimorphism in Children

description: Template and data used in the project "3D Modelling of Craniofacial Ontogeny and Sexual Dimorphism in Children"
DOI: 10.5281/zenodo.4265457
title: Database for Automatic Risk Adjustment in Short-Term Electricity Markets

description: Database (2014-2018) used in the paper entitled "Automatic Risk Adjustment in Short-Term Electricity Markets". This database includes : the inputs and outputs of the deep learning probabilistic forecaster which predicts the Belgian system imbalance; the market data related to the construction of the real-time imbalance settlement mechanism; the inputs and outputs of the Machine Learning-based modules, which allow to continuously adjust the optimal risk policy of an actor to the dynamically changing market operating conditions. These data are obtained from the Belgian Transmission System Operator (Elia) and the European Network of Transmission system Operators (ENTSO-E). If you use these data, please refer to the following paper: J. Bottieau, K. Bruninx, A. Sanjab, Z. De Grève, F. Vallée and J-F. Toubeau, “Automatic Risk Adjustment in Short-Term Electricity Markets”.
DOI: 10.5281/zenodo.4265456
title: Database for Automatic Risk Adjustment in Short-Term Electricity Markets

description: Database (2014-2018) used in the paper entitled "Automatic Risk Adjustment in Short-Term Electricity Markets". This database includes : the inputs and outputs of the deep learning probabilistic forecaster which predicts the Belgian system imbalance; the market data related to the construction of the real-time imbalance settlement mechanism; the inputs and outputs of the Machine Learning-based modules, which allow to continuously adjust the optimal risk policy of an actor to the dynamically changing market operating conditions. These data are obtained from the Belgian Transmission System Operator (Elia) and the European Network of Transmission system Operators (ENTSO-E). If you use these data, please refer to the following paper: J. Bottieau, K. Bruninx, A. Sanjab, Z. De Grève, F. Vallée and J-F. Toubeau, “Automatic Risk Adjustment in Short-Term Electricity Markets”.
DOI: 10.5281/zenodo.4266026
title: Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State

description: This dataset comprises all data shown in the plots of the main part of the submitted article "Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State". Additional raw data are available from the corresponding author on reasonable request.
DOI: 10.5281/zenodo.4266025
title: Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State

description: This dataset comprises all data shown in the plots of the main part of the submitted article "Bidirectional Electro-Optic Wavelength Conversion in the Quantum Ground State". Additional raw data are available from the corresponding author on reasonable request.
DOI: 10.5281/zenodo.4266454
title: Data and software for Endsley et al. "Satellite monitoring of global surface soil organic carbon dynamics using the SMAP Level 4 Carbon product"

description: Data and software for reproducing key results from: Endsley, K.A., J.S. Kimball, R.H. Reichle, J.D. Watts. "Satellite monitoring of global surface soil organic carbon dynamics using the SMAP Level 4 Carbon product." *Submitted to Journal of Geophysical Research: Biogeosciences.*<br> <br> Corresponding author: K. Arthur Endsley, arthur.endsley@ntsg.umt.edu
DOI: 10.15129/45a4eb8b-4812-49ee-bf5e-1ba22b603690
title: Data for: "Observation of electron cyclotron harmonic emissions due to electrostatic instabilities in mirror-confined plasma"

description: The dataset contains data and some Matlab scripts to analyze the data for wave electric fields from Vlasov simulations and dispersion diagrams and growth rates obtained by solving dispersion relations for electrostatic electron cyclotron instabilities in magnetized plasma. More details are given in the README file.
DOI: 10.21227/7ree-3j85
title: MIZZOU-CIS-WAYLON

description: abstract
DOI: 10.5517/ccdc.csd.cc1zbndc
title: CCDC 1827493: Experimental Crystal Structure Determination

description: Related Article: Hui-Hui Cui, Man-Man Ding, Xiu-Du Zhang, Wei Lv, Yi-Quan Zhang, Xue-Tai Chen, Zhenxing Wang, Zhong-Wen Ouyang, Zi-Ling Xue|2020|Dalton Trans.|49|14837|doi:10.1039/D0DT01954B
DOI: 10.5517/ccdc.csd.cc1zbnfd
title: CCDC 1827494: Experimental Crystal Structure Determination

description: Related Article: Hui-Hui Cui, Man-Man Ding, Xiu-Du Zhang, Wei Lv, Yi-Quan Zhang, Xue-Tai Chen, Zhenxing Wang, Zhong-Wen Ouyang, Zi-Ling Xue|2020|Dalton Trans.|49|14837|doi:10.1039/D0DT01954B
DOI: 10.5517/ccdc.csd.cc222b5p
title: CCDC 1908861: Experimental Crystal Structure Determination

description: Related Article: Shu-Fang Zhou, Biao-Biao Hao, Tian Lin, Chen-Xi Zhang, Qing-Lun Wang|2020|Dalton Trans.|49|14490|doi:10.1039/D0DT02834G
DOI: 10.5517/ccdc.csd.cc229n13
title: CCDC 1915894: Experimental Crystal Structure Determination

description: Related Article: Xiwu Zhang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22b6rd
title: CCDC 1916443: Experimental Crystal Structure Determination

description: Related Article: Xiwu Zhang|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22b6sf
title: CCDC 1916444: Experimental Crystal Structure Determination

description: Related Article: Xiwu Zhang|2020|CSD Communication|||
DOI: 10.25377/sussex.13060295
title: Plotted Data for paper "The effect of the electric trapping field on state-selective loading of molecules into rf ion traps"

description: <b>Plotted data for paper published in Scientific Reports [28/10/20]</b><br>This Excel file contains the data plotted in Figures 2-6,8b) in the paper.<br>The initial Summary tab in the file explains the contents.<br><br>See references below for link to other datasets for this publication.<br><br><b>Abstract</b>Trapped molecular ions in pure rovibronic states are desirable in experiments ranging from cold chemistry to searches for physics beyond the Standard Model. Resonance-enhanced multiphoton ionisation (REMPI) can be used to prepare molecular ions in specific internal states with high fidelities. However, in the presence of electric fields, ionisation spectra exhibit frequency shifts and the ionisation thresholds are broadened. For this reason, REMPI studies are normally conducted in low and highly homogeneous electric fields, whereas the operating principle of rf ion traps requires electric fields that vary in space and time. In order to investigate the impact of this on the state-selectivity of REMPI in ion traps, we have simulated the expected broadening of the ionisation threshold under various operating conditions of a typical linear Paul trap. In many cases, the width of the ionisation threshold exceeds the separation between rotational energy levels, preventing state-selective ionisation. Careful choice of the trapping and laser parameters during loading can reduce this broadening, enabling state-selective ionisation in some instances. Where this strategy is not sufficient, the broadening can be reduced further by rapidly switching the trapping voltages off and on again during loading. This has been demonstrated experimentally for a Coulomb crystal of <sup>40</sup>Ca<sup>+</sup> ions without descrystallising it.<br><br><br>
DOI: 10.25377/sussex.13060295.v1
title: Plotted Data for paper "The effect of the electric trapping field on state-selective loading of molecules into rf ion traps"

description: <b>Plotted data for paper published in Scientific Reports [28/10/20]</b><br>This Excel file contains the data plotted in Figures 2-6,8b) in the paper.<br>The initial Summary tab in the file explains the contents.<br><br>See references below for link to other datasets for this publication.<br><br><b>Abstract</b>Trapped molecular ions in pure rovibronic states are desirable in experiments ranging from cold chemistry to searches for physics beyond the Standard Model. Resonance-enhanced multiphoton ionisation (REMPI) can be used to prepare molecular ions in specific internal states with high fidelities. However, in the presence of electric fields, ionisation spectra exhibit frequency shifts and the ionisation thresholds are broadened. For this reason, REMPI studies are normally conducted in low and highly homogeneous electric fields, whereas the operating principle of rf ion traps requires electric fields that vary in space and time. In order to investigate the impact of this on the state-selectivity of REMPI in ion traps, we have simulated the expected broadening of the ionisation threshold under various operating conditions of a typical linear Paul trap. In many cases, the width of the ionisation threshold exceeds the separation between rotational energy levels, preventing state-selective ionisation. Careful choice of the trapping and laser parameters during loading can reduce this broadening, enabling state-selective ionisation in some instances. Where this strategy is not sufficient, the broadening can be reduced further by rapidly switching the trapping voltages off and on again during loading. This has been demonstrated experimentally for a Coulomb crystal of <sup>40</sup>Ca<sup>+</sup> ions without descrystallising it.<br><br><br>
DOI: 10.5517/ccdc.csd.cc24k7vt
title: CCDC 1982786: Experimental Crystal Structure Determination

description: Related Article: Souvik Maity, Tanmoy Kumar Ghosh, Carlos J. Gómez-García, Ashutosh Ghosh|2020|Cryst.Growth Des.|20|7300|doi:10.1021/acs.cgd.0c00957
DOI: 10.5517/ccdc.csd.cc24k7wv
title: CCDC 1982787: Experimental Crystal Structure Determination

description: Related Article: Souvik Maity, Tanmoy Kumar Ghosh, Carlos J. Gómez-García, Ashutosh Ghosh|2020|Cryst.Growth Des.|20|7300|doi:10.1021/acs.cgd.0c00957
DOI: 10.5517/ccdc.csd.cc24k7xw
title: CCDC 1982788: Experimental Crystal Structure Determination

description: Related Article: Souvik Maity, Tanmoy Kumar Ghosh, Carlos J. Gómez-García, Ashutosh Ghosh|2020|Cryst.Growth Des.|20|7300|doi:10.1021/acs.cgd.0c00957
DOI: 10.5517/ccdc.csd.cc24k7yx
title: CCDC 1982789: Experimental Crystal Structure Determination

description: Related Article: Souvik Maity, Tanmoy Kumar Ghosh, Carlos J. Gómez-García, Ashutosh Ghosh|2020|Cryst.Growth Des.|20|7300|doi:10.1021/acs.cgd.0c00957
DOI: 10.5517/ccdc.csd.cc25pdq0
title: CCDC 2016572: Experimental Crystal Structure Determination

description: Related Article: Emmanuele Parisi, Domenica Capasso, Amedeo Capobianco, Andrea Peluso, Sonia Di Gaetano, Sandra Fusco, Carla Manfredi, Rosaria Mozzillo, Gabriella Pinto, Roberto Centore|2020|Dalton Trans.|49|14452|doi:10.1039/D0DT02572K
DOI: 10.5517/ccdc.csd.cc25pdr1
title: CCDC 2016573: Experimental Crystal Structure Determination

description: Related Article: Emmanuele Parisi, Domenica Capasso, Amedeo Capobianco, Andrea Peluso, Sonia Di Gaetano, Sandra Fusco, Carla Manfredi, Rosaria Mozzillo, Gabriella Pinto, Roberto Centore|2020|Dalton Trans.|49|14452|doi:10.1039/D0DT02572K
DOI: 10.5517/ccdc.csd.cc25pds2
title: CCDC 2016574: Experimental Crystal Structure Determination

description: Related Article: Emmanuele Parisi, Domenica Capasso, Amedeo Capobianco, Andrea Peluso, Sonia Di Gaetano, Sandra Fusco, Carla Manfredi, Rosaria Mozzillo, Gabriella Pinto, Roberto Centore|2020|Dalton Trans.|49|14452|doi:10.1039/D0DT02572K
DOI: 10.5517/ccdc.csd.cc25pdt3
title: CCDC 2016575: Experimental Crystal Structure Determination

description: Related Article: Emmanuele Parisi, Domenica Capasso, Amedeo Capobianco, Andrea Peluso, Sonia Di Gaetano, Sandra Fusco, Carla Manfredi, Rosaria Mozzillo, Gabriella Pinto, Roberto Centore|2020|Dalton Trans.|49|14452|doi:10.1039/D0DT02572K
DOI: 10.5517/ccdc.csd.cc25pdv4
title: CCDC 2016576: Experimental Crystal Structure Determination

description: Related Article: Emmanuele Parisi, Domenica Capasso, Amedeo Capobianco, Andrea Peluso, Sonia Di Gaetano, Sandra Fusco, Carla Manfredi, Rosaria Mozzillo, Gabriella Pinto, Roberto Centore|2020|Dalton Trans.|49|14452|doi:10.1039/D0DT02572K
DOI: 10.5517/ccdc.csd.cc25pdw5
title: CCDC 2016577: Experimental Crystal Structure Determination

description: Related Article: Emmanuele Parisi, Domenica Capasso, Amedeo Capobianco, Andrea Peluso, Sonia Di Gaetano, Sandra Fusco, Carla Manfredi, Rosaria Mozzillo, Gabriella Pinto, Roberto Centore|2020|Dalton Trans.|49|14452|doi:10.1039/D0DT02572K
DOI: 10.5517/ccdc.csd.cc25pdx6
title: CCDC 2016578: Experimental Crystal Structure Determination

description: Related Article: Emmanuele Parisi, Domenica Capasso, Amedeo Capobianco, Andrea Peluso, Sonia Di Gaetano, Sandra Fusco, Carla Manfredi, Rosaria Mozzillo, Gabriella Pinto, Roberto Centore|2020|Dalton Trans.|49|14452|doi:10.1039/D0DT02572K
DOI: 10.21227/w7ft-mc20
title: AURORA, A multi sensor dataset for robotic ocean exploration

description: The current maturity of autonomous underwater vehicles (AUVs) has made their deployment practical and cost-effective, such that many scientific, industrial and military applications now include AUV operations. However, the logistical difficulties and high costs of operating at-sea are still critical limiting factors in further technology development, the benchmarking of new techniques and the reproducibility of research results. To overcome this problem, we present a freely available dataset suitable to test control, navigation, sensor processing algorithms and others tasks. This dataset combines AUV navigation data, side-scan sonar, multibeam echosounder data and seafloor camera image data, and associated sensor acquisition meta-data to provide a detailed characterisation of surveys carried out by the National Oceanography Centre (NOC) in the Greater Haig Fras Marine Conservazion Zone (MCZ) of the U.K in 2015.
DOI: 10.21227/fsnq-tn19
title: DIABETIC RETINOPATHY- FUNDUS IMAGE DATASET(AGAR300)

description: Diabetic Retinopathy is the second largest cause of blindness in diabetic patients. Early diagnosis or screening can prevent the visual loss. Nowadays , several computer aided algorithms have been developed to detect the early signs of Diabetic Retinopathy ie., Microaneurysms. The AGAR300 dataset presented here facilitate the researchers for benchmarking MA detection algorithms using digital fundus images. Currently, we have released the first set of database which consists of 28 color fundus images, shows the signs of Microaneurysm. The images were captured in 45-degree field-of-view with resolution of 2448x3264. An article describing the results using AGAR300 was published in Biomedical Signal Processing and Control, Elsevier. This database images can be freely downloaded and used for research purposes with proper citation. The AGAR300 Microaneurysms dataset will be available online and more images can be submitted via this IEEE DataPort in future.
DOI: 10.21227/mtbs-ys32
title: DIABETIC RETINOPATHY- FUNDUS IMAGE DATASET(AGAR300)

description: Diabetic Retinopathy is the second largest cause of blindness in diabetic patients. Early diagnosis or screening can prevent the visual loss. Nowadays , several computer aided algorithms have been developed to detect the early signs of Diabetic Retinopathy ie., Microaneurysms. The AGAR300 dataset presented here facilitate the researchers for benchmarking MA detection algorithms using digital fundus images. Currently, we have released the first set of database which consists of 28 color fundus images, shows the signs of Microaneurysm. The images were captured in 45-degree field-of-view with resolution of 2448x3264. An article describing the results using AGAR300 was published in Biomedical Signal Processing and Control, Elsevier. This database images can be freely downloaded and used for research purposes with proper citation. The AGAR300 Microaneurysms dataset will be available online and more images can be submitted via this IEEE DataPort in future.
DOI: 10.21227/m0gx-zj47
title: Baseline 6

description: This is an enhanced version of baseline 2 submitted previously. The total yearly consumption per smartmeter is infered using ratios computed on the 270 smartmeters which have full historical data. A) Use the 270 smart meter with 12 month data : compute ratios that represent every month : jan / Jan-&gt;dec , feb/jan-&gt;dec, … B) Compute the total yearly consumption a. Example : Smart meter with data for November and December only§ Nov = 10% of the yearly consumption (based on step A)§ Dec. = 12% of the yearly consumption (based on step A)§ ==&gt; Nov dec = 22% of the yearly consumptionb. Compute the yearly consumption (absolute value based on nov and dec)§ Nov = 200 kWh§ Dec = 470 kWh§ ==&gt; (Nov + dec / (0.22) ) = (200+470)/0.22 = 3,045.4545 C) Compute the mean monthly consumption per smart meter : (total yearly consumption)/12a. Example : 3,045/12 = 253.75 This consumption is then repeated for every month per smartmeter.
DOI: 10.21227/2rqv-tn98
title: Baseline 6

description: This is an enhanced version of baseline 2 submitted previously. The total yearly consumption per smartmeter is infered using ratios computed on the 270 smartmeters which have full historical data. A) Use the 270 smart meter with 12 month data : compute ratios that represent every month : jan / Jan-&gt;dec , feb/jan-&gt;dec, … B) Compute the total yearly consumption a. Example : Smart meter with data for November and December only§ Nov = 10% of the yearly consumption (based on step A)§ Dec. = 12% of the yearly consumption (based on step A)§ ==&gt; Nov dec = 22% of the yearly consumptionb. Compute the yearly consumption (absolute value based on nov and dec)§ Nov = 200 kWh§ Dec = 470 kWh§ ==&gt; (Nov + dec / (0.22) ) = (200+470)/0.22 = 3,045.4545 C) Compute the mean monthly consumption per smart meter : (total yearly consumption)/12a. Example : 3,045/12 = 253.75 This consumption is then repeated for every month per smartmeter.
DOI: 10.21227/0wsq-3228
title: Model 0

description: Baseline model.
DOI: 10.25405/data.ncl.13194974
title: Trauma and hallucination-proneness scores

description: Data from analogue community sample (students; university research volunteers and individuals recruited through third-sector) for doctoral thesis on hallucination-proneness and trauma.<br>Trauma History Questionnaire to obtain trauma history.Cardiff Anomalous Perception Scale to measure hallucination-proneness
DOI: 10.25405/data.ncl.13194974.v1
title: Trauma and hallucination-proneness scores

description: Data from analogue community sample (students; university research volunteers and individuals recruited through third-sector) for doctoral thesis on hallucination-proneness and trauma.<br>Trauma History Questionnaire to obtain trauma history.Cardiff Anomalous Perception Scale to measure hallucination-proneness