cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4649841
title: Resources for the article "Investigating the role of educational robotics in formal mathematics education"

description: This repository contains the material required to reproduce the study looking to investigate the role of educational robotics in formal mathematics education for 15 year old students in the French speaking region of Switzerland. This includes : Pedagogical content in the form of both teacher and student resources Data collection ressources (surveys and tests) If you use any of the resources provided in this repository, please cite the following • The Zenodo repository, DOI: 10.5281/zenodo.4649842 • The corresponding article : Brender, J., El-Hamamsy, L., Bruno, B., Chessel-Lazzarotto, F., Zufferey, J.D., Mondada, F. (2021). Investigating the Role of Educational Robotics in Formal Mathematics Education: The Case of Geometry for 15-Year-Old Students. In: De Laet, T., Klemke, R., Alario-Hoyos, C., Hilliger, I., Ortega-Arranz, A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science(), vol 12884. Springer, Cham. https://doi.org/10.1007/978-3-030-86436-1_6 • Licence : CC-BY
DOI: 10.5281/zenodo.8071383
title: Resources for the article "Investigating the role of educational robotics in formal mathematics education"

description: This repository contains the material required to reproduce the study looking to investigate the role of educational robotics in formal mathematics education for 15 year old students in the French speaking region of Switzerland. This includes : Pedagogical content in the form of both teacher and student resources Data collection ressources (surveys and tests) If you use any of the resources provided in this repository, please cite the following • The Zenodo repository, DOI: 10.5281/zenodo.4649842 • The corresponding article : Brender, J., El-Hamamsy, L., Bruno, B., Chessel-Lazzarotto, F., Zufferey, J.D., Mondada, F. (2021). Investigating the Role of Educational Robotics in Formal Mathematics Education: The Case of Geometry for 15-Year-Old Students. In: De Laet, T., Klemke, R., Alario-Hoyos, C., Hilliger, I., Ortega-Arranz, A. (eds) Technology-Enhanced Learning for a Free, Safe, and Sustainable World. EC-TEL 2021. Lecture Notes in Computer Science(), vol 12884. Springer, Cham. https://doi.org/10.1007/978-3-030-86436-1_6 • Licence : CC-BY
DOI: 10.5281/zenodo.8071451
title: Validation of the satellite-estimated sedimentation rates in reservoirs using 10-m Sentinel-2 satellites and water level data

description: <strong>Overview</strong>: The database contains data used for the validation of satellite-based sedimentation rates in eight reservoirs across the central and western United States using 10-m Sentinel-2 imagery and in-situ level data. Additional validation of the results from combining Sentinel-2 imagery with simulated 27-day Sentinel-3 altimetry levels is also included. <strong>This dataset includes</strong>: Satellite-derived area-level duplets Bathymetry curves from satellite-based estimates Bathymetry curves from survey data Validation
DOI: 10.5281/zenodo.8071450
title: Validation of the satellite-estimated sedimentation rates in reservoirs using 10-m Sentinel-2 satellites and water level data

description: <strong>Overview</strong>: The database contains data used for the validation of satellite-based sedimentation rates in eight reservoirs across the central and western United States using 10-m Sentinel-2 imagery and in-situ level data. Additional validation of the results from combining Sentinel-2 imagery with simulated 27-day Sentinel-3 altimetry levels is also included. <strong>This dataset includes</strong>: Satellite-derived area-level duplets Bathymetry curves from satellite-based estimates Bathymetry curves from survey data Validation
DOI: 10.5281/zenodo.8066299
title: REPARES interlaboratory study (ring test) on qPCR quantification of antibiotic resistance genes and other related genes in DNA isolated from sewage sludge and wastewater

description: This dataset collects data on interlaboratory study (Ring test), performed within project REPARES in two phases (Ring test phase 1, Ring test phase 2). Sampling and analyses for phase 1 started on 25.2.2020 and for phase 2 on 27.9.2021. The sampling site was a wastewater treatment plant (&gt; 100 000 inhabitants) in the Czech Republic. REPARES: Research platform on antibiotic resistance spread through wastewater treatment plants H2020-EU.4.b. ID 857552 https://repares.vscht.cz/
DOI: 10.5281/zenodo.8066298
title: REPARES interlaboratory study (ring test) on qPCR quantification of antibiotic resistance genes and other related genes in DNA isolated from sewage sludge and wastewater

description: This dataset collects data on interlaboratory study (Ring test), performed within project REPARES in two phases (Ring test phase 1, Ring test phase 2). Sampling and analyses for phase 1 started on 25.2.2020 and for phase 2 on 27.9.2021. The sampling site was a wastewater treatment plant (&gt; 100 000 inhabitants) in the Czech Republic. REPARES: Research platform on antibiotic resistance spread through wastewater treatment plants H2020-EU.4.b. ID 857552 https://repares.vscht.cz/
DOI: 10.5281/zenodo.7747237
title: GOBAI-O2 Training Data

description: <strong>About</strong> This repository contains quality controlled data obtained from the Biogeochemical Argo database (Argo, 2000) and GLODAP data product (Lauvset et al., 2022) that are used to train machine leaning models to be applied to three-dimensional temperature and salinity maps compiled using the Core Argo data (Roemmich and Gilson, 2009) to produce GOBAI-O2 (Sharp et al., 2022). <strong>References</strong> Argo (2000). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. https://doi.org/10.17882/42182. Lauvset, S. K., Lange, N., Tanhua, T., Bittig, H. C., Olsen, A., Kozyr, A., Alin, S., Álvarez, M., Azetsu-Scott, K., Barbero, L., Becker, S., Brown, P. J., Carter, B. R., da Cunha, L. C., Feely, R. A., Hoppema, M., Humphreys, M. P., Ishii, M., Jeansson, E., Jiang, L.‑Q., Jones, S. D., Lo Monaco, C., Murata, A., Müller, J. D., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Tilbrook, B., Ulfsbo, A., Velo, A., Woosley, R. J. and Key, R. M. (2022). GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product. Earth System Science Data, 14(12), 5543‑5572. https://doi.org/10.5194/essd‑14‑5543‑2022. Roemmich, D. and Gilson, J. (2009). The 2004-2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program. Progress in Oceanography, 82, 81-100. https://doi.org/10.1016/j.pocean.2009.03.004. Sharp, J. D. Fassbender, A. J. Carter, B. R., Johnson, G. C., Schultz, C., and Dunne, J. P. (2022). GOBAI-O<sub>2</sub>: A Global Gridded Monthly Dataset of Ocean Interior Dissolved Oxygen Concentrations Based on Shipboard and Autonomous Observations (NCEI Accession 0259304). v1.0. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/z72m-yz67.
DOI: 10.5281/zenodo.7747238
title: GOBAI-O2 Training Data

description: <strong>About</strong> This repository contains quality controlled data obtained from the Biogeochemical Argo database (Argo, 2000) and GLODAP data product (Lauvset et al., 2022) that are used to train machine leaning models to be applied to three-dimensional temperature and salinity maps compiled using the Core Argo data (Roemmich and Gilson, 2009) to produce GOBAI-O2 (Sharp et al., 2023). <strong>References</strong> Argo (2000). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. https://doi.org/10.17882/42182. Lauvset, S. K., Lange, N., Tanhua, T., Bittig, H. C., Olsen, A., Kozyr, A., Alin, S., Álvarez, M., Azetsu-Scott, K., Barbero, L., Becker, S., Brown, P. J., Carter, B. R., da Cunha, L. C., Feely, R. A., Hoppema, M., Humphreys, M. P., Ishii, M., Jeansson, E., Jiang, L.‑Q., Jones, S. D., Lo Monaco, C., Murata, A., Müller, J. D., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Tilbrook, B., Ulfsbo, A., Velo, A., Woosley, R. J. and Key, R. M. (2022). GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product. Earth System Science Data, 14(12), 5543‑5572. https://doi.org/10.5194/essd‑14‑5543‑2022. Roemmich, D. and Gilson, J. (2009). The 2004-2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program. Progress in Oceanography, 82, 81-100. https://doi.org/10.1016/j.pocean.2009.03.004. Sharp, J. D. Fassbender, A. J. Carter, B. R., Johnson, G. C., Schultz, C., and Dunne, J. P. (2022). GOBAI-O<sub>2</sub>: A Global Gridded Monthly Dataset of Ocean Interior Dissolved Oxygen Concentrations Based on Shipboard and Autonomous Observations (NCEI Accession 0259304). v1.0. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/z72m-yz67.
DOI: 10.5281/zenodo.8071469
title: GOBAI-O2 Training Data

description: <strong>About</strong> This repository contains quality controlled data obtained from the Biogeochemical Argo database (Argo, 2000) and GLODAP data product (Lauvset et al., 2022) that are used to train machine leaning models to be applied to three-dimensional temperature and salinity maps compiled using the Core Argo data (Roemmich and Gilson, 2009) to produce GOBAI-O2 (Sharp et al., 2022). <strong>References</strong> Argo (2000). Argo float data and metadata from Global Data Assembly Centre (Argo GDAC). SEANOE. https://doi.org/10.17882/42182. Lauvset, S. K., Lange, N., Tanhua, T., Bittig, H. C., Olsen, A., Kozyr, A., Alin, S., Álvarez, M., Azetsu-Scott, K., Barbero, L., Becker, S., Brown, P. J., Carter, B. R., da Cunha, L. C., Feely, R. A., Hoppema, M., Humphreys, M. P., Ishii, M., Jeansson, E., Jiang, L.‑Q., Jones, S. D., Lo Monaco, C., Murata, A., Müller, J. D., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Tilbrook, B., Ulfsbo, A., Velo, A., Woosley, R. J. and Key, R. M. (2022). GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product. Earth System Science Data, 14(12), 5543‑5572. https://doi.org/10.5194/essd‑14‑5543‑2022. Roemmich, D. and Gilson, J. (2009). The 2004-2008 mean and annual cycle of temperature, salinity, and steric height in the global ocean from the Argo Program. Progress in Oceanography, 82, 81-100. https://doi.org/10.1016/j.pocean.2009.03.004. Sharp, J. D. Fassbender, A. J. Carter, B. R., Johnson, G. C., Schultz, C., and Dunne, J. P. (2022). GOBAI-O<sub>2</sub>: A Global Gridded Monthly Dataset of Ocean Interior Dissolved Oxygen Concentrations Based on Shipboard and Autonomous Observations (NCEI Accession 0259304). v1.0. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/z72m-yz67.
DOI: 10.5517/ccdc.csd.cc2fg9fn
title: CCDC 2248071: Experimental Crystal Structure Determination

description: Related Article: Xing Lin, Dajun Zhang, Jing Li, Lei Zhang|2023|Org.Biomol.Chem.|21|4977|doi:10.1039/D3OB00722G
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.cc2dfl5m
title: CCDC 2217590: Experimental Crystal Structure Determination

description: Related Article: Alexandra M. Bacon, Warren Tomlinson, Joseph P. Hooper, Michael J. Zdilla|2023|Inorg.Chem.|62|9285|doi:10.1021/acs.inorgchem.2c04367
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.cc2fhf8n
title: CCDC 2249151: Experimental Crystal Structure Determination

description: Related Article: Cheng-Zhou Lin, Ling-Feng Jiang, Guang-Yi Zhang, Fang-Shuai Zhou, Shao-Hua Wu, Jing Cao, Qing-Hai Deng|2023|Chem.Commun.|59|7831|doi:10.1039/D3CC01438J
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.cc2fhx3z
title: CCDC 2249611: Experimental Crystal Structure Determination

description: Related Article: Maryam Tajik, Morteza Shiri, Faiq H. S. Hussain, Yazdanbakhsh Lotfi Nosood, Behnaz Baeiszadeh, Zahra Amini, Rahman Bikas, Anna Pyra|2023|RSC Advances|13|16963|doi:10.1039/D3RA02065G
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.cc2fplpf
title: CCDC 2255085: Experimental Crystal Structure Determination

description: Related Article: Solhye Choe, Hayoung Song, Hyeonjeong Choi, Seunghyuk Yoo, Jaelim Kim, Young Ho Ko, Eunsung Lee|2023|Org.Lett.|25|4292|doi:10.1021/acs.orglett.3c01331
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: 10.34943/2ad5c165-629f-4ca0-9fb5-49924eb1b3e8
title: Main Endeavour Field Short Period Seismometer Deployed 2010-09-30

description: The Geosense Short Period Seismometer 117 was deployed on 2010-09-30 at Main Endeavour Field. Main Endeavour Field is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Short Period Seismometer. The Short Period Seismometers are compact, low-power, low-noise, ground velocity sensors with a typical bandwidth of 1 to 200 Hz, and are designed to monitor local seismicity. 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: 10.34943/261d1503-16a4-468f-a41d-0e7c9504bb44
title: Main Endeavour Field Short Period Seismometer Deployed 2010-09-30

description: The Geosense Short Period Seismometer 117 was deployed on 2010-09-30 at Main Endeavour Field. Main Endeavour Field is a vent field located at Endeavour Ridge, where hydrothermal vent systems are observed. This device is a Short Period Seismometer. The Short Period Seismometers are compact, low-power, low-noise, ground velocity sensors with a typical bandwidth of 1 to 200 Hz, and are designed to monitor local seismicity. 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: 10.5281/zenodo.8071556
title: Vulnerability Detection on Line Level

description: Data used in my university project "Vulnerability Detection on Line Level".
DOI: 10.5281/zenodo.8071555
title: Vulnerability Detection on Line Level

description: Data used in my university project "Vulnerability Detection on Line Level".
DOI: 10.5517/ccdc.csd.cc2fplqg
title: CCDC 2255086: Experimental Crystal Structure Determination

description: Related Article: Solhye Choe, Hayoung Song, Hyeonjeong Choi, Seunghyuk Yoo, Jaelim Kim, Young Ho Ko, Eunsung Lee|2023|Org.Lett.|25|4292|doi:10.1021/acs.orglett.3c01331
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.cc2fplsj
title: CCDC 2255088: Experimental Crystal Structure Determination

description: Related Article: Solhye Choe, Hayoung Song, Hyeonjeong Choi, Seunghyuk Yoo, Jaelim Kim, Young Ho Ko, Eunsung Lee|2023|Org.Lett.|25|4292|doi:10.1021/acs.orglett.3c01331
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: 10.6084/m9.figshare.23563599
title: THE IMPACT OF GREEN HRM ON GREEN IT ATTITUDES AND BELIEFS IN INFORMATION TECHNOLOGY SECTOR

description: This is a .csv file for the first 41 respondents to my research survey. It carries responses of individuals as filled by them through the provided link. The anonymity of employees was maintained.
DOI: 10.5281/zenodo.8071494
title: Data set for cardiovascular and mood responses to an acute bout of cold water immersion

description: Data set for manuscript.
DOI: 10.5281/zenodo.8071493
title: Data set for cardiovascular and mood responses to an acute bout of cold water immersion

description: Data set for manuscript.
DOI: 10.6073/pasta/75beef634f4b2ca7d854cd01dbb25a6b
title: Monthly measurement summaries from Lake Vanda Meteorological Station (VAAM), McMurdo Dry Valleys, Antarctica (1994-2022, ongoing)

description: As part of the McMurdo Dry Valleys Long Term Ecological Research program, meteorological data are collected from various locations throughout the McMurdo Dry Valleys of Antarctica. This package contains monthly measurement summaries derived from 15-minute data generated by the Lake Vanda Meteorological Station (VAAM), located in Wright Valley. VAAM was established in 1994, during the 94/95 field season.
DOI: 10.5281/zenodo.8071542
title: Supplementary materials for the article: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023

description: This is the supplementary materials for the article: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023 This folder contains: MLD.mat<br> - The annual maximum of monthly-averaged mixed layer depth (m) in ECCO:<br> 1992-2001 mean (data retrieved from ECCO Consortium et al., 2023). The mixed layer<br> depth is determined by the depth where waters are first 0.8◦ C colder than the surface, as<br> per the Kara Formula (Kara et al., 2000) FBGC3mm.mat<br> - Sinking detrital flux [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average FBGC4mm.mat<br> - Detritus removal via remineralisation and denitrification [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average FBGC7mm.mat<br> - Detritus creation [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average DETmm.mat<br> - Sinking Detritus [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average NPP.mat<br> - Primary production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average export.mat <br> - Export production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average grid.mat<br> - model grid information for ECCO transport matrix (see Khatiwala, S. (2018): https://zenodo.org/record/1246300<br> 463doi: 10.5281/ZENODO.1246300) cmap5.mat<br> - matlab colormap bluewhitered.mat <br> - matlab colormap cmap12.mat<br> - matlab colormap PlotPaperFigures.m<br> - matlab script for plotting journal paper figures for "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023 findClosest.m<br> - matlab script to find the closest value in a list of values to a specified value
DOI: 10.5281/zenodo.8071541
title: Supplementary materials for the article: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023

description: This is the supplementary materials for the article: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023 This folder contains: MLD.mat<br> - The annual maximum of monthly-averaged mixed layer depth (m) in ECCO:<br> 1992-2001 mean (data retrieved from ECCO Consortium et al., 2023). The mixed layer<br> depth is determined by the depth where waters are first 0.8◦ C colder than the surface, as<br> per the Kara Formula (Kara et al., 2000) FBGC3mm.mat<br> - Sinking detrital flux [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average FBGC4mm.mat<br> - Detritus removal via remineralisation and denitrification [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average FBGC7mm.mat<br> - Detritus creation [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average DETmm.mat<br> - Sinking Detritus [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average NPP.mat<br> - Primary production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average export.mat <br> - Export production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average grid.mat<br> - model grid information for ECCO transport matrix (see Khatiwala, S. (2018): https://zenodo.org/record/1246300<br> 463doi: 10.5281/ZENODO.1246300) cmap5.mat<br> - matlab colormap bluewhitered.mat <br> - matlab colormap cmap12.mat<br> - matlab colormap PlotPaperFigures.m<br> - matlab script for plotting journal paper figures for "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023 findClosest.m<br> - matlab script to find the closest value in a list of values to a specified value
DOI: 10.5281/zenodo.8060659
title: Pooled datasets for scover manuscript

description: These are scanpy objects of the pooled datasets associated with our recent work. Please note the datasets are gzipped to save space. The original datasets were obtained through the following sources: Human kidney data: https://www.kidneycellatlas.org/ Tabula Muris data: https://figshare.com/articles/dataset/Single-cell_RNA-seq_data_from_Smart-seq2_sequencing_of_FACS_sorted_cells_v2_/5829687/8 (CC BY 4.0) Human brain data: https://github.com/GreenleafLab/brainchromatin (data can also be found here) Please find more information in our pre-print about how the datasets were created. For more information about the method, please see the associated github.
DOI: 10.5281/zenodo.8060658
title: Pooled datasets for scover manuscript

description: These are scanpy objects of the pooled datasets associated with our recent work. Please note the datasets are gzipped to save space. The original datasets were obtained through the following sources: Human kidney data: https://www.kidneycellatlas.org/ Tabula Muris data: https://figshare.com/articles/dataset/Single-cell_RNA-seq_data_from_Smart-seq2_sequencing_of_FACS_sorted_cells_v2_/5829687/8 (CC BY 4.0) Human brain data: https://github.com/GreenleafLab/brainchromatin (data can also be found here) Please find more information in our pre-print about how the datasets were created. For more information about the method, please see the associated github.