cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1zbgh8
title: CCDC 1827310: Experimental Crystal Structure Determination

description: Related Article: Maryam Hasanzadeh Esfahani, Mahdi Behzad|2020|J.Coord.Chem.|73|154|doi:10.1080/00958972.2020.1725492
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.cc23t076
title: CCDC 1960447: Experimental Crystal Structure Determination

description: Related Article: Andrey Yu. Baranov, Alexey S. Berezin, Denis G. Samsonenko, Anton S. Mazur, Peter M. Tolstoy, Viktor F. Plyusnin, Ilya E. Kolesnikov, Alexander V. Artem'ev|2020|Dalton Trans.|49|3155|doi:10.1039/D0DT00192A
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.cc24t729
title: CCDC 1990450: Experimental Crystal Structure Determination

description: Related Article: Tokoure Assoumatine and Helen Stoeckli-Evans|2020|CSD Communication|||
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.cc24lj1b
title: CCDC 1984001: Experimental Crystal Structure Determination

description: Related Article: N. Plyuta, O.Yu. Vassilyeva, V.N. Kokozay, I. Omelchenko, S. Petrusenko|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|423|doi:10.1107/S205698902000211X
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.cc26jp7p
title: CCDC 2041822: Experimental Crystal Structure Determination

description: Related Article: Tina P. Andrejević, Ivana Aleksic, Marta Počkaj, Jakob Kljun, Dusan Milivojevic, Nevena Lj. Stevanović, Jasmina Nikodinovic-Runic, Iztok Turel, Miloš I. Djuran, Biljana Đ. Glišić|2021|Dalton Trans.|50|2627|doi:10.1039/D0DT04061D
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.cc29j4jj
title: CCDC 2130677: Experimental Crystal Structure Determination

description: Related Article: Xiaobing Huang, Jingxun Yu, Xinjun Luan|2023|Chin.J.Chem.|41|1937|doi:10.1002/cjoc.202300008
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: 10.5281/zenodo.8221439
title: Afterslip distribution related to the Van Earthquake (Turkey) of 23 Oct. 2011

description: Two distributions of slip (afterslip) related to the Van earthquake - after 4 days - after 17 days as reported in Figure 9 and 10 of the paper Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling <em>Elisa Trasatti, Cristiano Tolomei, Giuseppe Pezzo, Simone Atzori and Stefano Salvi</em> Rem. Sens. 2016, 8, 532; doi:10.3390/rs8060532 Coordinates, depth and slip in meters. The geographical coordinates are projected with UTM zone 38. The depth of the first row of patches is positive due to the elevation of the area.
description: {"references": ["Trasatti et al., (2016), \"Deformation and Related Slip Due to the 2011 Van Earthquake (Turkey) Sequence Imaged by SAR Data and Numerical Modeling\", Rem. Sens., doi:10.3390/rs8060532"]}
DOI: 10.5281/zenodo.8221364
title: EOBuildings

description: This dataset is an ongoing effort to reproduce, improve and extends the INRIA Image Labelling dataset which is dedicated to buildings detection/segmentation from aerial imageries. The original INRIA dataset reference are : <strong>download url</strong> : https://project.inria.fr/aerialimagelabeling/files/ <strong>paper</strong> : Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat and Pierre Alliez.“Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark” IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017 The buildings footprints of the original INRIA dataset has only been made available for the five training AOI (Area of Interest) and on raster format. Somes issues has been noted by differents researchers on this dataset : The annoation quality seems to be one of the main issues to obtains better models and compared them with enought confidence. Specifically in comparison with the AIRS dataset. The raster building footprints formats is not compatible with instance segmentation task. The more recents papers don't use the original test set, but instead use the original validation set to reports their performance metrics. So one of the strongest point of the dataset, to assess a model genericity (performance on unseen AOI during training), has been lost. This version of the dataset, V0.1 contained : All buildings footprints of the ten INRIA Area of Interset in in vector format (shapefile). Two buildings footprints on 28km2 of a French department (Jura). One building footprints come from national buildings open data (French Mapping Institut) and the other is a mnaual annotation of the roof a seen on aerial ortho imagery.
DOI: 10.5281/zenodo.8221363
title: EOBuildings

description: This dataset is an ongoing effort to reproduce, improve and extends the INRIA Image Labelling dataset which is dedicated to buildings detection/segmentation from aerial imageries. The original INRIA dataset reference are : <strong>download url</strong> : https://project.inria.fr/aerialimagelabeling/files/ <strong>paper</strong> : Emmanuel Maggiori, Yuliya Tarabalka, Guillaume Charpiat and Pierre Alliez.“Can Semantic Labeling Methods Generalize to Any City? The Inria Aerial Image Labeling Benchmark” IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2017 The buildings footprints of the original INRIA dataset has only been made available for the five training AOI (Area of Interest) and on raster format. Somes issues has been noted by differents researchers on this dataset : The annoation quality seems to be one of the main issues to obtains better models and compared them with enought confidence. Specifically in comparison with the AIRS dataset. The raster building footprints formats is not compatible with instance segmentation task. The more recents papers don't use the original test set, but instead use the original validation set to reports their performance metrics. So one of the strongest point of the dataset, to assess a model genericity (performance on unseen AOI during training), has been lost. This version of the dataset, V0.1 contained : All buildings footprints of the ten INRIA Area of Interset in in vector format (shapefile). Two buildings footprints on 28km2 of a French department (Jura). One building footprints come from national buildings open data (French Mapping Institut) and the other is a mnaual annotation of the roof a seen on aerial ortho imagery.
DOI: 10.17028/rd.lboro.23212757.v2
title: An overheating criterion for bedrooms in temperate climates: statistical analyses

description: This supplementary information contains worksheets of statistical analyses that underpin the narrative and bar charts presented in the following paper by the above authors: <em>An overheating criterion for bedrooms in temperate climates: Derivation and application</em>, published in Building Services Engineering Research & Technology in 2023. The analyses aim to identify the dwelling and household characteristics for which there are significant differences in the prevalence of overheating in the main bedrooms of English dwellings, where said prevalence is calculated using both an established adaptive overheating criterion, and the newly proposed criterion based on mean night-time bedroom temperatures. <strong>Analysis method</strong> The sample of 591 bedrooms is divided according to thirteen different dwelling categories (dwelling type, energy efficiency rating, etc.) delineated by dwelling characteristics (e.g., semi-detached, detached, flat, etc). The same approach is also used for EFUS questionnaire data describing the households, dividing according to eleven categories (tenure, income, age, etc.) delineated by household characteristics (e.g., privately owned or rented, social rent). In many cases, to clarify where statistical differences exist, characteristics are grouped together (e.g., overheating in flats is compared with that in all other dwelling types).
DOI: 10.34740/kaggle/dsv/6264410
title: CARLANE Benchmark
DOI: 10.5517/ccp0wbw
title: CCDC 626458: Experimental Crystal Structure Determination

description: Related Article: Wen-Kui Dong, Jian-Hua Feng, Yu-Jie Zhang, Yin-Xia Sun, Shou-Ting Zhang|2011|Wuji Huaxue Xuebao|27|1865|
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.cc26y7yc
title: CCDC 2053903: Experimental Crystal Structure Determination

description: Related Article: Knut Tormodssønn Hylland, Isabelle Gerz, David S. Wragg, Sigurd Øien-Ødegaard, Mats Tilset|2021|Eur.J.Inorg.Chem.|2021|1869|doi:10.1002/ejic.202100170
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.cc27p68f
title: CCDC 2075954: Experimental Crystal Structure Determination

description: Related Article: Bhupendra Goswami, Thomas J. Feuerstein, Ravi Yadav, Sergei Lebedkin, Pit J. Boden, Sophie T. Steiger, Gereon Niedner-Schatteburg, Markus Gerhards, Manfred M. Kappes, Peter W. Roesky|2021|Chem.-Eur.J.|27|15110|doi:10.1002/chem.202101247
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.cc275plq
title: CCDC 2061053: Experimental Crystal Structure Determination

description: Related Article: Artem N. Fakhrutdinov, Bogdan Ya. Karlinskii, Mikhail E. Minyaev, Valentine P. Ananikov|2021|J.Org.Chem.|86|11456|doi:10.1021/acs.joc.1c00943
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.cc27sk8w
title: CCDC 2079178: Experimental Crystal Structure Determination

description: Related Article: Sweta Gahlot, Bhagyesh Purohit, Erwann Jeanneau, Shashank Mishra|2021|Chem.-Eur.J.|27|10826|doi:10.1002/chem.202101471
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.cc27vkpc
title: CCDC 2081113: Experimental Crystal Structure Determination

description: Related Article: Molly Stauffer, Zeinab Sakhaei, Christine Greene, Pokhraj Ghosh, Jeffery A. Bertke, Timothy H. Warren|2021|Inorg.Chem.|60|15968|doi:10.1021/acs.inorgchem.1c00625
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.cc27wmb3
title: CCDC 2082125: Experimental Crystal Structure Determination

description: Related Article: Lily Southcott, Xiaozhu Wang, Neha Choudhary, Luke Wharton, Brian O. Patrick, Hua Yang, Kristof Zarschler, Manja Kubeil, Holger Stephan, María de Guadalupe Jaraquemada-Peláez, Chris Orvig|2021|Inorg.Chem.|60|12186|doi:10.1021/acs.inorgchem.1c01412
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: 10.5281/zenodo.8221456
title: WHOI prototype Vertical Temperature Profiler data from Quashnet River site QRSP28

description: Vertical Temperature Profiler data from the WHOI prototype instrument, acquired at the Quashnet River site QRSP28 from 17 June, 2022 to 11 July, 2022. Data sampled at 5 minute intervals. Eighteen total temperature records, with the measurement depth listed in the first (header) row of the file. Depths are in cm (e.g., T8 is the temperature record from 8 cm depth). Note that absolute depths could be in error by as much as 2 cm due to uncertainty introduced by insertion process, but relative depths are highly accurate. Data have been calibrated based on water bath tests.
DOI: 10.5281/zenodo.8221455
title: WHOI prototype Vertical Temperature Profiler data from Quashnet River site QRSP28

description: Vertical Temperature Profiler data from the WHOI prototype instrument, acquired at the Quashnet River site QRSP28 from 17 June, 2022 to 11 July, 2022. Data sampled at 5 minute intervals. Eighteen total temperature records, with the measurement depth listed in the first (header) row of the file. Depths are in cm (e.g., T8 is the temperature record from 8 cm depth). Note that absolute depths could be in error by as much as 2 cm due to uncertainty introduced by insertion process, but relative depths are highly accurate. Data have been calibrated based on water bath tests.
DOI: 10.5281/zenodo.8221316
title: ;了解了

description: lkhlbnbhkj、
DOI: 10.5281/zenodo.8221317
title: ;了解了

description: lkhlbnbhkj、
DOI: 10.6084/m9.figshare.23899944
title: Main characteristics and data outcome of the included studies.xlsx

description: Main characteristics and data outcome of the included studies.
DOI: 10.17909/59gh-3310
title: 311P
DOI: 10.5281/zenodo.8217212
title: Dataset for 'Printed ecoresorbable temperature sensors for environmental monitoring'

description: This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “Printed ecoresorbable temperature sensors for environmental monitoring”. This work aims to study the effect of photonic sintering parameters on the temperature behavior of printed zinc resistors, with the aim to fabricate eco-friendly and ecoresorbable temperature sensors on paper. Biodegradable electronic devices have potential in tackling the increasingly pressing challenge of electronic waste and printing methods allow to reduce toxic byproducts of fabrication and wasted material. The sintering method that is optimized here is based on our previous work combining electrochemical and photonic sintering approaches to enable the fabrication of highly-conductive degradable metal tracks. We optimize the sintering parameters to obtain zinc resistors with a high temperature coefficient of resistance and a linear temperature response curve. The data that was collected in the frame of this work is present in this repository. More information about the contents of the dataset is present in the included README files.
DOI: 10.5281/zenodo.8217213
title: Dataset for 'Printed ecoresorbable temperature sensors for environmental monitoring'

description: This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the recent publication entitled “Printed ecoresorbable temperature sensors for environmental monitoring”. This work aims to study the effect of photonic sintering parameters on the temperature behavior of printed zinc resistors, with the aim to fabricate eco-friendly and ecoresorbable temperature sensors on paper. Biodegradable electronic devices have potential in tackling the increasingly pressing challenge of electronic waste and printing methods allow to reduce toxic byproducts of fabrication and wasted material. The sintering method that is optimized here is based on our previous work combining electrochemical and photonic sintering approaches to enable the fabrication of highly-conductive degradable metal tracks. We optimize the sintering parameters to obtain zinc resistors with a high temperature coefficient of resistance and a linear temperature response curve. The data that was collected in the frame of this work is present in this repository. More information about the contents of the dataset is present in the included README files.
DOI: 10.6084/m9.figshare.23899986
title: PRISMA checklist

description: PRISMA checklist
DOI: 10.25625/lsis5c/edsbub
title: MB_field_4b_2K-200Oe.ws5

description: :unav
DOI: 10.25625/lsis5c/2e0dxu
title: MB_field_4b_2K-4T.ws5

description: :unav
DOI: 10.25625/lsis5c/kgnaal
title: MB_field_4b_2K-7T.ws5

description: :unav
DOI: 10.25625/lsis5c/nawdal
title: Calibration_for 4b_field.ws5

description: :unav
DOI: 10.25625/lsis5c/3cehyl
title: MB_field_4b_20K-7T.ws5

description: :unav
DOI: 10.25625/lsis5c/jt6ucr
title: MB_field_4b_10K-7T.ws5

description: :unav
DOI: 10.25625/lsis5c
title: Mössbauer data with applied magnetic field for Fe(IV)=O (4b in manuscript)

description: Mössbauer data with applied magnetic field for 4b in manuscript "Non-heme FeIV=O complexes supported by four new pentadentate ligands: reactivity towards H- and O-atom transfer processes"
DOI: 10.5285/018df892-2423-5072-e063-6c86abc00e31
title: Eddy covariance air-sea CO2 flux measurements in the Southern Ocean on RRS James Clark Ross cruises JR18004, JR18005, JR19001, JR19002 and 2020/2021 transit cruises.

description: These data were collected during Southern Ocean cruises JR18004, JR18005, JR19001, JR19002, and 2020/2021 transit cruises (here called JR30001) on the RRS James Clark Ross (JCR) on behalf of the Natural Environment Research Council funded project ORCHESTRA. The wind data were measured by Metek sonic anemometer. The gas concentration data were measured by Picarro gas analyser. The data are the calculated 20-minute eddy covariance air-sea CO<sub>2</sub>, eddy covariance sensible heat fluxes, 10-metre neutral wind speed, and eddy covariance fraction velocity.
DOI: 10.5285/0205d027-6e64-0229-e063-6c86abc0bb54
title: Eddy covariance air-sea CO2 flux measurements in the Southern Ocean on RRS Discovery cruises DY111, DY112 and DY113.

description: These data were collected during Southern Ocean cruises DY111, DY112 and DY113 on the ship of RRS Discovery on behalf of the Natural Environment Research Council funded projects CUSTARD and ORCHESTRA. The wind data were measured by Gill R3 sonic anemometer and the gas concentration data were measured by LI-7200 gas analyser. The data are the hourly eddy covariance air-sea CO<sub>2</sub>, eddy covariance sensible heat fluxes, 10-metre neutral wind speed, and eddy covariance fraction velocity.
DOI: 10.6084/m9.figshare.23899845
title: population migration.zip

description: Baidu Migration Big Data provides indices of migration scale (including an in-migration scale index and an out-migration scale index) recorded in days for 365 cities in China and the percentage of in-migration from a particular city to the total in-migration from that city for each city's in-migration sources.
DOI: 10.7916/ag19-s334
title:  Sierra Leone National Health Facilities Dataset, Version 01
DOI: 10.5519/qd.oj4cr3uv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5517/ccdc.csd.cc279883
title: CCDC 2064484: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Vinay K. R. Cheemarla, Davide Tiana, Simon E. Lawrence|2023|Cryst.Growth Des.|23|5446|doi:10.1021/acs.cgd.2c01403
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.cc2359wh
title: CCDC 1941526: Experimental Crystal Structure Determination

description: Related Article: Mohammed B. Fugu, Joe Coley, Isabella F. Dickinson, James B. Orton, Wim Klooster, M. Paul Gleeson, Leigh F. Jones|2021|CrystEngComm|23|5531|doi:10.1039/D1CE00807B
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.cc28tf9v
title: CCDC 2109807: Experimental Crystal Structure Determination

description: Related Article: Shan Huang, Vinay K. R. Cheemarla, Davide Tiana, Simon E. Lawrence|2023|Cryst.Growth Des.|23|5446|doi:10.1021/acs.cgd.2c01403
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.