cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc265s7f
title: CCDC 2031344: Experimental Crystal Structure Determination

description: Related Article: Amrita Mondal, Chinmay Chowdhury|2021|J.Org.Chem.|86|3810|doi:10.1021/acs.joc.0c02651
DOI: 10.5517/ccdc.csd.cc265s8g
title: CCDC 2031345: Experimental Crystal Structure Determination

description: Related Article: Amrita Mondal, Chinmay Chowdhury|2021|J.Org.Chem.|86|3810|doi:10.1021/acs.joc.0c02651
DOI: 10.5517/ccdc.csd.cc265s9h
title: CCDC 2031346: Experimental Crystal Structure Determination

description: Related Article: Amrita Mondal, Chinmay Chowdhury|2021|J.Org.Chem.|86|3810|doi:10.1021/acs.joc.0c02651
DOI: 10.5517/ccdc.csd.cc26c0h3
title: CCDC 2036374: Experimental Crystal Structure Determination

description: Related Article: Pantaleo Musci, Timo Keutz, Ferdinand Belaj, Leonardo Degennaro, David Cantillo, C. Oliver Kappe, Renzo Luisi|2021|Angew.Chem.,Int.Ed.|60|6395|doi:10.1002/anie.202014881
DOI: 10.5517/ccdc.csd.cc26mgbn
title: CCDC 2044491: Experimental Crystal Structure Determination

description: Related Article: Kazuyuki Torii, Atsushi Kawakubo, Xianjin Lin, Tetsuaki Fujihara, Tatsuo Yajima, Yasushi Obora|2021|Chem.-Eur.J.|27|4888|doi:10.1002/chem.202100043
DOI: 10.5517/ccdc.csd.cc26qm2n
title: CCDC 2047521: Experimental Crystal Structure Determination

description: Related Article: Giorgio Mercuri, Marco Moroni, Kostiantyn V. Domasevitch, Corrado Di Nicola, Patrizio Campitelli, Claudio Pettinari, Giuliano Giambastiani, Simona Galli, Andrea Rossin|2021|Chem.-Eur.J.|27|4746|doi:10.1002/chem.202005216
DOI: 10.5517/ccdc.csd.cc26sj1l
title: CCDC 2049349: Experimental Crystal Structure Determination

description: Related Article: Dominik Zetschok, Lukas Heieck, Helma Wennemers|2021|Org.Lett.|23|1753|doi:10.1021/acs.orglett.1c00172
DOI: 10.5517/ccdc.csd.cc26z5w8
title: CCDC 2054800: Experimental Crystal Structure Determination

description: Related Article: Michal Liberka, Jakub J. Zakrzewski, Michal Heczko, Mateusz Reczyński, Shin-ichi Ohkoshi, Szymon Chorazy|2021|Inorg.Chem.|60|4093|doi:10.1021/acs.inorgchem.1c00165
DOI: 10.5517/ccdc.csd.cc26z5x9
title: CCDC 2054801: Experimental Crystal Structure Determination

description: Related Article: Michal Liberka, Jakub J. Zakrzewski, Michal Heczko, Mateusz Reczyński, Shin-ichi Ohkoshi, Szymon Chorazy|2021|Inorg.Chem.|60|4093|doi:10.1021/acs.inorgchem.1c00165
DOI: 10.5517/ccdc.csd.cc26z6l0
title: CCDC 2054822: Experimental Crystal Structure Determination

description: Related Article: Supriya Rej, Naoto Chatani|2021|Inorg.Chem.|60|3534|doi:10.1021/acs.inorgchem.1c00127
DOI: 10.5517/ccdc.csd.cc270gmc
title: CCDC 2056032: Experimental Crystal Structure Determination

description: Related Article: Arif Ali, Nasim Sepay, Mohd Afzal, Nayim Sepay, Abdullah Alarifi, M. Shahid, Musheer Ahmad|2021|Bioorg.Chem.|110|104772|doi:10.1016/j.bioorg.2021.104772
DOI: 10.5517/ccdc.csd.cc252gpf
title: CCDC 1998374: Experimental Crystal Structure Determination

description: Related Article: Arif Ali, Nasim Sepay, Mohd Afzal, Nayim Sepay, Abdullah Alarifi, M. Shahid, Musheer Ahmad|2021|Bioorg.Chem.|110|104772|doi:10.1016/j.bioorg.2021.104772
DOI: 10.5517/ccdc.csd.cc270wv0
title: CCDC 2056442: Experimental Crystal Structure Determination

description: Related Article: Dominik Zetschok, Lukas Heieck, Helma Wennemers|2021|Org.Lett.|23|1753|doi:10.1021/acs.orglett.1c00172
DOI: 10.5517/ccdc.csd.cc2721w8
title: CCDC 2057559: Experimental Crystal Structure Determination

description: Related Article: Jackson J. Hernandez, Alison J. Frontier|2021|Org.Lett.|23|1782|doi:10.1021/acs.orglett.1c00191
DOI: 10.5517/ccdc.csd.cc2721x9
title: CCDC 2057560: Experimental Crystal Structure Determination

description: Related Article: Jackson J. Hernandez, Alison J. Frontier|2021|Org.Lett.|23|1782|doi:10.1021/acs.orglett.1c00191
DOI: 10.5517/ccdc.csd.cc2721yb
title: CCDC 2057561: Experimental Crystal Structure Determination

description: Related Article: Jackson J. Hernandez, Alison J. Frontier|2021|Org.Lett.|23|1782|doi:10.1021/acs.orglett.1c00191
DOI: 10.5517/ccdc.csd.cc2721zc
title: CCDC 2057562: Experimental Crystal Structure Determination

description: Related Article: Jackson J. Hernandez, Alison J. Frontier|2021|Org.Lett.|23|1782|doi:10.1021/acs.orglett.1c00191
DOI: 10.5517/ccdc.csd.cc27220f
title: CCDC 2057563: Experimental Crystal Structure Determination

description: Related Article: Jackson J. Hernandez, Alison J. Frontier|2021|Org.Lett.|23|1782|doi:10.1021/acs.orglett.1c00191
DOI: 10.5517/ccdc.csd.cc27221g
title: CCDC 2057564: Experimental Crystal Structure Determination

description: Related Article: Jackson J. Hernandez, Alison J. Frontier|2021|Org.Lett.|23|1782|doi:10.1021/acs.orglett.1c00191
DOI: 10.5517/ccdc.csd.cc26z6n2
title: CCDC 2054824: Experimental Crystal Structure Determination

description: Related Article: Supriya Rej, Naoto Chatani|2021|Inorg.Chem.|60|3534|doi:10.1021/acs.inorgchem.1c00127
DOI: 10.5517/ccdc.csd.cc26z6m1
title: CCDC 2054823: Experimental Crystal Structure Determination

description: Related Article: Supriya Rej, Naoto Chatani|2021|Inorg.Chem.|60|3534|doi:10.1021/acs.inorgchem.1c00127
DOI: 10.6084/m9.figshare.14245733
title: Data from McManus et al. (2021) 'Evolution reverses the effect of network structure on metapopulation persistence.'

description: These are the data generated from an eco-evolutionary metapopulation model. They are associated with the manuscript 'Evolution reverses the effect of network structure on metapopulation persistence.'<br><b>Authors:</b><br>Lisa C. McManus<sup>1,2</sup>, Edward W. Tekwa<sup>1</sup>, Daniel E. Schindler<sup>3</sup>, Timothy E. Walsworth<sup>4</sup>, Madhavi A. Colton<sup>5</sup>, Michael M. Webster<sup>6</sup>, Timothy E. Essington<sup>3</sup>, Daniel L. Forrest<sup>1</sup>, Stephen R. Palumbi<sup>7</sup>, Peter J. Mumby<sup>8</sup> and Malin L. Pinsky<sup>1</sup><b><br></b><b>Affiliations:</b><br><sup>1</sup>Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ, USA.<br><sup>2</sup>Hawaiʻi Institute of Marine Biology, University of Hawaiʻi at Manoa, Kaneʻohe, HI 96744, USA.<br><sup>3</sup>School of Aquatic and Fishery Sciences, university of Washington, Seattle, WA, USA.<br><sup>4</sup>Department of Watershed Sciences, Utah State University, Logan, UT, USA.<br><sup>5</sup>Coral Reef Alliance, Oakland, CA, USA.<br><sup>6</sup>Department of Environmental Studies, New York University, 285 Mercer St., New York, NY 10003, USA.<br><sup>7</sup>Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA.<br><sup>8</sup>Marine Spatial Ecology Laboratory, School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia.<br>
DOI: 10.6084/m9.figshare.14245733.v1
title: Data from McManus et al. (2021) 'Evolution reverses the effect of network structure on metapopulation persistence.'

description: These are the data generated from an eco-evolutionary metapopulation model. They are associated with the manuscript 'Evolution reverses the effect of network structure on metapopulation persistence.'<br><b>Authors:</b><br>Lisa C. McManus<sup>1,2</sup>, Edward W. Tekwa<sup>1</sup>, Daniel E. Schindler<sup>3</sup>, Timothy E. Walsworth<sup>4</sup>, Madhavi A. Colton<sup>5</sup>, Michael M. Webster<sup>6</sup>, Timothy E. Essington<sup>3</sup>, Daniel L. Forrest<sup>1</sup>, Stephen R. Palumbi<sup>7</sup>, Peter J. Mumby<sup>8</sup> and Malin L. Pinsky<sup>1</sup><b><br></b><b>Affiliations:</b><br><sup>1</sup>Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ, USA.<br><sup>2</sup>Hawaiʻi Institute of Marine Biology, University of Hawaiʻi at Manoa, Kaneʻohe, HI 96744, USA.<br><sup>3</sup>School of Aquatic and Fishery Sciences, university of Washington, Seattle, WA, USA.<br><sup>4</sup>Department of Watershed Sciences, Utah State University, Logan, UT, USA.<br><sup>5</sup>Coral Reef Alliance, Oakland, CA, USA.<br><sup>6</sup>Department of Environmental Studies, New York University, 285 Mercer St., New York, NY 10003, USA.<br><sup>7</sup>Department of Biology, Hopkins Marine Station, Stanford University, Pacific Grove, CA, USA.<br><sup>8</sup>Marine Spatial Ecology Laboratory, School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia.<br>
DOI: 10.21227/8egg-f024
title: January-21-Rivera-Sergio

description: January-21-Rivera-Sergio
DOI: 10.3886/e135241v1
title: Student Learning in Online College Programs

description: We draw on administrative data from the country of Colombia to assess differences in student learning in online and traditional on-campus college programs. The Colombian context is uniquely suited to study this topic, as students take a compulsory exit examination at the end of their studies. We can therefore directly compare performance on the exit exam for students in online and on-campus programs both across and within institutions, degrees, and majors. Using inverse probability weighting methods based on a rich set of background characteristics coupled with institution-degree-major fixed effects, our results suggest that bachelor’s degree students in online programs perform worse on nearly all test score measures (including math, reading, writing, and English) relative to their counterparts in on-campus programs. Results for shorter technical certificates are more mixed. While online students perform significantly worse than on-campus students on exit exams in private institutions, they perform better in SENA—the main public vocational institution in the country.
DOI: 10.6084/m9.figshare.14237963
title: Nisin Probiotic Prevents Periodontal Disease and Inflammation while Promoting Periodontal Regeneration and Shift Toward Healthy Microbiome/Virome

description: Data and code accompanying the paper.
DOI: 10.6084/m9.figshare.14237963.v3
title: Nisin Probiotic Prevents Periodontal Disease and Inflammation while Promoting Periodontal Regeneration and Shift Toward Healthy Microbiome/Virome

description: Data and code accompanying the paper.
DOI: 10.6084/m9.figshare.14237963.v2
title: Nisin Probiotic Prevents Periodontal Disease and Inflammation while Promoting Periodontal Regeneration and Shift Toward Healthy Microbiome/Virome

description: Data and code accompanying the paper.
DOI: 10.6084/m9.figshare.14245856.v1
title: ewDavidWmhSegmentationSlicewiseWeights.h5

description: weights for wmh segmentation in ANTsXNet<br>
DOI: 10.6084/m9.figshare.14245856
title: ewDavidWmhSegmentationSlicewiseWeights.h5

description: weights for wmh segmentation in ANTsXNet<br>
DOI: 10.5517/ccdc.csd.cc26z6kz
title: CCDC 2054821: Experimental Crystal Structure Determination

description: Related Article: Supriya Rej, Naoto Chatani|2021|Inorg.Chem.|60|3534|doi:10.1021/acs.inorgchem.1c00127
DOI: 10.5517/ccdc.csd.cc25yb2k
title: CCDC 2024178: Experimental Crystal Structure Determination

description: Related Article: Michal Liberka, Jakub J. Zakrzewski, Michal Heczko, Mateusz Reczyński, Shin-ichi Ohkoshi, Szymon Chorazy|2021|Inorg.Chem.|60|4093|doi:10.1021/acs.inorgchem.1c00165
DOI: 10.6084/m9.figshare.14245850
title: Coding sheet - humanism in asian medical education a scoping review

description: Coding sheet for current scoping review
DOI: 10.6084/m9.figshare.14245850.v1
title: Coding sheet - humanism in asian medical education a scoping review

description: Coding sheet for current scoping review
DOI: 10.5281/zenodo.4620332
title: Two-stage transition from Gilbert delta to hyperpycnal delta

description: Experimental images and measured profiles.
DOI: 10.5281/zenodo.4620331
title: Two-stage transition from Gilbert delta to hyperpycnal delta

description: Experimental images and measured profiles.
DOI: 10.6084/m9.figshare.14245991
title: Data Abstraction Sheet for Thematic Analysis (Humanism in Medical Education - A Scoping Review)

description: Data abstraction sheet for the current scoping review
DOI: 10.6084/m9.figshare.14245991.v1
title: Data Abstraction Sheet for Thematic Analysis (Humanism in Medical Education - A Scoping Review)

description: Data abstraction sheet for the current scoping review
DOI: 10.25919/xgam-bs33
title: Fire Simulation Data Set for Tasmania

description: This data set collects the processed simulation data obtained by running fire simulations in the Spark tool all over the Tasmanian region under various meteorological conditions. The fire simulations are run under 500 different fire weather conditions for 68,048 fire start locations within Tasmania over Cloud infrastructure. The weather inputs considered are air temperature ([10,40]), relative humidity ([10,90]), wind speed ([10,60]), and wind direction ([0,360)). The logs obtained after each fire simulation are processed to store the input and output data values in a tabular form (explained in supporting text file).
DOI: 10.15472/vlckz5
title: Lista de especies florísticas asociadas a la ciénaga de Montaño, Carmen del Darién, 2020

description: Las plantas, son uno de los componentes de los humedales que intervienen en numerosos procesos, beneficiando el desarrollo y equilibrio de la vida. A pesar del papel que juegan en el mantenimiento de la biodiversidad, el medio en el que se desarrollan puede dificultar su estudio y observación. Las comunidades vegetales acuáticas y subacuáticas a menudo se presentan de forma dispersa, mal definida y ocupan superficies limitadas. La investigación que concluyó con la elaboración del respectivo documento, proporciona información relevante para la toma de decisiones e implementación de posibles planes de manejos, soportadas en las condiciones reales y de esta manera contribuir en la preservación de la riqueza ecológica, y los bienes y servicios que el ecosistema ofrece a las comunidades humanas asentadas a su alrededor.
DOI: 10.6084/m9.figshare.14246213
title: Metabolomic Analysis Reveal the metabolic physiology of Evisceration Behavior in Apostichopus japonicus

description: In this study, Ultraperformance liquid chromatography and quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) was performed on the coelomic fluids of evisceration and normal sea cucumbers to detect the change of metabolites and metabolic pathways in the process of evisceration behavior. In total, 9 increased and 11 decreased metabolites were identified from the eviscerated coelomic fluids of sea cucumbers. These metabolites included phosphatidylethanolamine, glucosylceramide, L-tryptophan, carbamic acid, cyclohexylamine and so on. In addition, 5 significant changed signaling pathways are also acquired from the enrichment of metabolic pathway analyses, and they are “GPI-anchor biosynthesis”, “Regulation of autophagy”, “Sphingolipid metabolism”, “Nitrogen metabolism”, and “Phenylalanine, tyrosine and tryptophan biosynthesis”. These results first presented valuable data of potential physiological mechanisms underlying evisceration behavior of <i>A. japonicus</i>, which would have important implications for the aquaculture and transportation of sea cucumbers.
DOI: 10.6084/m9.figshare.14246213.v1
title: Metabolomic Analysis Reveal the metabolic physiology of Evisceration Behavior in Apostichopus japonicus

description: In this study, Ultraperformance liquid chromatography and quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) was performed on the coelomic fluids of evisceration and normal sea cucumbers to detect the change of metabolites and metabolic pathways in the process of evisceration behavior. In total, 9 increased and 11 decreased metabolites were identified from the eviscerated coelomic fluids of sea cucumbers. These metabolites included phosphatidylethanolamine, glucosylceramide, L-tryptophan, carbamic acid, cyclohexylamine and so on. In addition, 5 significant changed signaling pathways are also acquired from the enrichment of metabolic pathway analyses, and they are “GPI-anchor biosynthesis”, “Regulation of autophagy”, “Sphingolipid metabolism”, “Nitrogen metabolism”, and “Phenylalanine, tyrosine and tryptophan biosynthesis”. These results first presented valuable data of potential physiological mechanisms underlying evisceration behavior of <i>A. japonicus</i>, which would have important implications for the aquaculture and transportation of sea cucumbers.
DOI: 10.6084/m9.figshare.14246327.v1
title: Historical world mapping and current distribution of Cinchona sp. in Peru

description: Abstract: El Perú es megadiverso en flora neotropical, y en su geografía alberga al “árbol de la quina” (Cinchona sp.), simbolizado en el Escudo Nacional por la importancia histórica debido a las propiedades medicinales que se le adjudica. Sin embargo, el uso antrópico ha causado gran-des deforestaciones que le han puesto en peligro de extinción. El estado peruano propuso un Plan de Acción para el Repoblamiento Forestal con Especies del género Cinchona, sin embargo, ya se advierten de problemas conceptuales en el plan como, la falta de información sobre luga-res climáticamente potenciales para su reforestación. Por ello, esta investigación generó mapas históricos mundiales georreferenciados para las especies de Cinchona sp., y determinó lugares climáticamente potenciales para la identificación, ocurrencia y/o distribución actual del género Cinchona en el Perú. Fueron 10 860 ocurrencias que permitieron mostrar mapas históricos mun-diales para Cinchona sp. y 4 046 registros georreferenciados para determinar las condiciones ac-tuales. Existen probabilidades de nivel alto de ocurrencia y distribución potencial en el 5.49% del área peruana (58 487.61 km2); el 17.63 % abarca áreas de nivel moderado para la ocurrencia y dis-tribución potencial, en tanto que, el 26.06% del territorio nacional están comprendidos en áreas de distribución potencial y ocurrencia de nivel bajo. Se sugiere que, la información que se revela en esta investigación, sea parte de la herramienta nacional para que permita re pensar bajo un nuevo enfoque, la toma de decisiones en la gestión adecuada del manejo del Plan Nacional ya mencionado.
DOI: 10.17632/76n87gbrtc.2
title: Supplementary material for hyperfine line positions and intensities

description: Description of the supplementary materials for "Hyperfine components of rovibrational dipole transitions in HT and DT" by H. Jóźwiak, H. Cybulski, P. Wcisło The list of all hyperfine components of all rovibrational dipole transitions in the HT and DT molecules are given in the Linelist-HT.zip and Linelist-DT.zip files, respectively. These .zip archives contain 361 and 576 Linelist-branch-v’-v.dat files, respectively. Label branch corresponds to P or R and v and v’ denote the initial and final vibrational quantum numbers, which describe the vibrational band. Each file contains a list of all rotational quadrupole lines, written in the manner described in Sec. 4. We remind that the transition frequency of the rovibrational transition (as well as its uncertainty) is obtained from the H2Spectre code of Czachorowski et al. [46] and Komasa et al. [22]. UPDATE, version 2: we corrected errors in the dataset for the HT molecule (the intensity of each rovibrational transition was set to 1). We also reduced the number of significant digits for the intensities and transition moments (see the discussion about the estimated uncertainty of our results in Sec. 4).
DOI: 10.17632/f5y2vtrnzh.2
title: Dataset on studies about physical-digital play technology and developmentally relevant child behaviour

description: This database is linked to the following academic article: "A systematic review of physical-digital play technology and developmentally relevant child behaviour". This data set includes the categorisation of 635 studies retrieved from academic data bases ACM Library, ERIC, PsycINFO, specialised academic conferences and journals working on the areas of Play + Technology + Child development. The articles were searched in May 2018 and categorised in terms of : 1. Entries not related to play for its own sake (connected to learning or other aim instead) n=313 2. Entries not connected to developmentally relevant behaviours n=309 3. Entries not analysing analogue behaviour in digitally enhanced contexts n=214 4. Entries not studying typically developing 0-12 year olds n=161 5. Entries that were not empirical studies n=96 6. Entries not specifying sample size and/or participants' age* n=24 7. Entries that were extended abstracts or did not provide enough information about study* n=16 8. Entries that were quantitative studies with 10 or less cases* n=5 9. Entries that were not peer reviewed* n=3 10. Entries that were not published in English n=0 *Criterion coded over full text of a subset of 123 pre-selected entries only A second version has been uploaded adding 2 extra journal articles published by 13th of May 2018 and specifying with more precision missing data related to entries that were not pre-selected for the review and which, therefore, were not coded in relation to criteria 6 to 9 indicated above.
DOI: 10.17632/gbxf8y387n.1
title: Study of Avian fauna in various parts of West Bengal
DOI: 10.17632/3ngwcbj5r7.1
title: Analysis of wood combustion products

description: The data presented in this dataset are related to the research paper “Granulation of fly ash and biochar with organic lake sediments – A way to sustainable utilization of waste from bioenergy production” [1] in the context of waste material investigation and possible valorization instead of disposal. This article provides a comprehensive chemical and physical characterization of wood combustion products – fly ashes, bottom ashes, mixed ashes and biochar. Multiple analytical techniques and methodology were exploited to investigate the composition of wood combustion products, among them a loss on ignition, potentiometry, colourimetry, X-ray diffractometry, X-ray fluorescence spectrometry, inductively coupled plasma optical emission spectrometry, gas chromatography. General parameters detected were the content of dry matter, gravimetric water, volatile matter, amount of ash and fixed carbon. The elemental analysis involved determining C, H, N and O. Physical properties were described by bulk density, solid density, total porosity, electric conductivity, specific weight and mass ratio assessment of particle size distribution. The mineralogical composition was described by major crystalline phases of samples and the content of oxides. Chemical properties and composition were characterized by pH, the content of ammonium, nitrates, nitrites, exchangeable elements and cation exchange capacity as well as after the 3-step speciation and analytical quantification of trace and major elements (Al, As, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Li, Mg, Mn, Mo, Na, Ni, P, Pb, Sb, Se, Sr, Ti, Tl, V and Zn) and detection of polycyclic aromatic hydrocarbons.
DOI: 10.17632/ktjcf4m58t.3
title: Data for: Efficacy and side effects of risperidone use in autism spectrum disorder

description: This database corresponds to all data obtained from the systematic review and meta-analysis on the efficacy and side effects of risperidone in patients with ASD. This research was registered in PROSPERO under number CRD42019122316.
DOI: 10.17632/66zwsnpcg3.2
title: Compensated_Calibration_FPP

description: The code and data show 3D reconstruction results of a checkerboard, using different calibration and reconstruction methods. (1) with general stereo calibration and linear reconstruction, (2) with general stereo calibration and approximately undistorted reconstruction, (3) with stereo calibration and undistorted reconstruction using nonlinear epipolar constraints, and (4) with the residual distortion-calibrated reconstruction. Instructions: Simply download all the files and data at any folder location of a computer. Change the working dictionary to the folder in MATLAB (2016 or after) and run the Demo.m to get the four reported reults. Please note that MATLAB Parallel Computing Toolbox is required for accellerated computation. The code has been tested with MATLAB 2016, under a Windows OS. To challenge the results using your own algorithm, please refer to the calibration images with the DOI: 10.21227/6f7p-jd52