cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc1zx5fh
title: CCDC 1844327: Experimental Crystal Structure Determination

description: Related Article: Nelson R. Vinueza, Bartłomiej J. Jankiewicz, Vanessa A. Gallardo, John J. Nash, Hilkka I. Kenttämaa|2018|Phys.Chem.Chem.Phys.(PCCP)|20|21567|doi:10.1039/C8CP03350A
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: 10.21227/bbc5-a202
title: cervigram image dataset

description: Each case contains 5 sequential pictures of an acetic-white test with sequence markers, one picture photographed using a green lens and one picture photographed after applying a compound iodine solution.
DOI: 10.5517/ccdc.csd.cc2023ks
title: CCDC 1849074: Experimental Crystal Structure Determination

description: Related Article: Akiko Sekine, Masato Tanaka, Hidehiro Uekusa, Nobuhiro Yasuda|2018|CrystEngComm|20|6061|doi:10.1039/C8CE00982A
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.cc2023lt
title: CCDC 1849075: Experimental Crystal Structure Determination

description: Related Article: Akiko Sekine, Masato Tanaka, Hidehiro Uekusa, Nobuhiro Yasuda|2018|CrystEngComm|20|6061|doi:10.1039/C8CE00982A
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.cc2023mv
title: CCDC 1849076: Experimental Crystal Structure Determination

description: Related Article: Akiko Sekine, Masato Tanaka, Hidehiro Uekusa, Nobuhiro Yasuda|2018|CrystEngComm|20|6061|doi:10.1039/C8CE00982A
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.cc2023nw
title: CCDC 1849077: Experimental Crystal Structure Determination

description: Related Article: Akiko Sekine, Masato Tanaka, Hidehiro Uekusa, Nobuhiro Yasuda|2018|CrystEngComm|20|6061|doi:10.1039/C8CE00982A
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.cc202r84
title: CCDC 1849685: Experimental Crystal Structure Determination

description: Related Article: Suzanne M. Jansze, Daniel Ortiz, Farzaneh Fadaei Tirani, Rosario Scopelliti, Laure Menin, Kay Severin|2018|Chem.Commun.|54|9529|doi:10.1039/C8CC04870C
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.cc202r95
title: CCDC 1849686: Experimental Crystal Structure Determination

description: Related Article: Suzanne M. Jansze, Daniel Ortiz, Farzaneh Fadaei Tirani, Rosario Scopelliti, Laure Menin, Kay Severin|2018|Chem.Commun.|54|9529|doi:10.1039/C8CC04870C
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.1344636
title: Land Facet Data For North America At 100M Resolution.

description: We developed a dataset categorizing the North American continent into physical habitat types at 100m resolution. The input data used included elevation and soil type. Further details on methodology are available here. The data is provided via a link to a zipfile containing TIFF (.tif) format files that can be imported into ArcGIS or other GIS applications. Projection information is available here.

One potential strategy for protecting biodiversity in a changing climate is based on the idea of protecting the diversity of abiotic conditions that influence patterns of biodiversity. In this strategy, conservation features (the “targets” considered in the conservation planning process) are derived from data on physical features such as topography, soils, and geology. The approach has been described as “conserving the ecological stage” or protecting “land facets” or “enduring features”. Species distributions, communities, ecosystems, and broader patterns of biodiversity are clearly influenced by abiotic drivers such as soils, geology, topography, and climate. Although climates will change relatively rapidly over the coming century, soils, geology, and topography will not. Thus, local, and some regional, climate patterns and gradients influenced by topography will persist (e.g., higher elevations will still be cooler than lower elevations, although both will likely be warmer) as climates change. The hypothesis underlying use of land facets in climate adaptation planning is that by protecting a diversity of land facets, it may be possible to protect areas that will foster a diversity of biota in the future, albeit different biota than those areas would protect today. Although land facets are clearly an imperfect coarse-filter surrogate for biodiversity, physical habitat diversity may still represent a useful additional source of data that can augment biodiversity data in conservation planning processes.
DOI: 10.5281/zenodo.1344637
title: Land Facet Data For North America At 100M Resolution.

description: We developed a dataset categorizing the North American continent into physical habitat types at 100m resolution. The input data used included elevation and soil type. Further details on methodology are available here. The data is provided via a link to a zipfile containing TIFF (.tif) format files that can be imported into ArcGIS or other GIS applications. Projection information is available here.

One potential strategy for protecting biodiversity in a changing climate is based on the idea of protecting the diversity of abiotic conditions that influence patterns of biodiversity. In this strategy, conservation features (the “targets” considered in the conservation planning process) are derived from data on physical features such as topography, soils, and geology. The approach has been described as “conserving the ecological stage” or protecting “land facets” or “enduring features”. Species distributions, communities, ecosystems, and broader patterns of biodiversity are clearly influenced by abiotic drivers such as soils, geology, topography, and climate. Although climates will change relatively rapidly over the coming century, soils, geology, and topography will not. Thus, local, and some regional, climate patterns and gradients influenced by topography will persist (e.g., higher elevations will still be cooler than lower elevations, although both will likely be warmer) as climates change. The hypothesis underlying use of land facets in climate adaptation planning is that by protecting a diversity of land facets, it may be possible to protect areas that will foster a diversity of biota in the future, albeit different biota than those areas would protect today. Although land facets are clearly an imperfect coarse-filter surrogate for biodiversity, physical habitat diversity may still represent a useful additional source of data that can augment biodiversity data in conservation planning processes.
DOI: 10.20348/storedb/1109/1168
title: Thyroid diseases near Semipalatinsk Nuclear Test Site - Data
title: EXCEL files

description: A description of the study is given in STOREDB:STUDY1008 (http://dx.doi.org/doi:10.20348/STOREDB/1108) . The data stored here include all the EXCEL and SPSS system files that were relevant for preparing the data used for Grosche et al., 2017 (http://www.storedb.org/store_v3/download.jsp?fileId=11331) . The steps taken for data preparation are described in http://www.storedb.org/store_v3/download.jsp?fileId=11333, the codebook is given in http://www.storedb.org/store_v3/download.jsp?fileId=11334. 
The original data set, including information of all 1,287 examinations which were carried out among 1,067 study participants is available in data_20150910(01).xlsx (EXCEL file).
The data set used for Grosche et al., 2017, is available in nodoubles(complete)v2.sav (SPPS system file).
For questions related to the various files contact the uploader at bgrosche [at] t-online.de.
description: This dataset includes all EXCEL files used in the frame of the study.
DOI: 10.20348/storedb/1109/1169
title: Thyroid diseases near Semipalatinsk Nuclear Test Site - Data
title: SPSS system files

description: A description of the study is given in STOREDB:STUDY1008 (http://dx.doi.org/doi:10.20348/STOREDB/1108) . The data stored here include all the EXCEL and SPSS system files that were relevant for preparing the data used for Grosche et al., 2017 (http://www.storedb.org/store_v3/download.jsp?fileId=11331) . The steps taken for data preparation are described in http://www.storedb.org/store_v3/download.jsp?fileId=11333, the codebook is given in http://www.storedb.org/store_v3/download.jsp?fileId=11334. 
The original data set, including information of all 1,287 examinations which were carried out among 1,067 study participants is available in data_20150910(01).xlsx (EXCEL file).
The data set used for Grosche et al., 2017, is available in nodoubles(complete)v2.sav (SPPS system file).
For questions related to the various files contact the uploader at bgrosche [at] t-online.de.
description: THis dataset includes the SPSS system files used for preparing the data and for analysis (see Gosche et al., 2017)
DOI: 10.26182/5b6d4c6392813
title: Local hydrodynamics at edges of marine canopies under oscillatory flows
DOI: 10.5258/soton/d0429
title: Dataset for Image-Based Monitoring of Femtosecond Laser Machining via a Neural Network

description: This dataset supports the publication:
Image-Based Monitoring of Femtosecond Laser Machining via a Neural Network
JPhys Photonics, accepted July 2018.
DOI: 10.5258/soton/d0393
title: Dataset for 'Predictive Capabilities for Laser Machining via a Neural Network'

description: This dataset supports the publication:
Predictive capabilities for laser machining via a neural network
Opt. Express 26, 17245-17253 (2018) DOI:10.1364/OE.26.017245
DOI: 10.5281/zenodo.1344309
title: Erklären Konventionelle Tonsysteme Den Naturjodel Von Arnold Schlepfer - Ergänzendes Datenset

description: Ergänzendes Datenset zur Dissertation "Transkription wortloser Gesänge" von Yannick Wey.
DOI: 10.5281/zenodo.1344310
title: Erklären Konventionelle Tonsysteme Den Naturjodel Von Arnold Schlepfer - Ergänzendes Datenset

description: Ergänzendes Datenset zur Dissertation "Transkription wortloser Gesänge" von Yannick Wey.
DOI: 10.5517/ccdc.csd.cc1mb4dh
title: CCDC 1499296: Experimental Crystal Structure Determination

description: Related Article: Basava Punna Rao Aradhyula,  Mahesh Kalidasan,  Krishnakant Gangele,  Debojit K. Deb, Samanta L. Shepherd,  Roger M. Phillips,  Krishna Mohan Poluri,  and Mohan Rao Kollipara|2017|Chem. Sel.|2|2065|doi:10.1002/slct.201601926
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.cc1mb4fj
title: CCDC 1499297: Experimental Crystal Structure Determination

description: Related Article: Basava Punna Rao Aradhyula,  Mahesh Kalidasan,  Krishnakant Gangele,  Debojit K. Deb, Samanta L. Shepherd,  Roger M. Phillips,  Krishna Mohan Poluri,  and Mohan Rao Kollipara|2017|Chem. Sel.|2|2065|doi:10.1002/slct.201601926
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.cc1mb4gk
title: CCDC 1499298: Experimental Crystal Structure Determination

description: Related Article: Basava Punna Rao Aradhyula,  Mahesh Kalidasan,  Krishnakant Gangele,  Debojit K. Deb, Samanta L. Shepherd,  Roger M. Phillips,  Krishna Mohan Poluri,  and Mohan Rao Kollipara|2017|Chem. Sel.|2|2065|doi:10.1002/slct.201601926
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.cc1mb4hl
title: CCDC 1499299: Experimental Crystal Structure Determination

description: Related Article: Basava Punna Rao Aradhyula,  Mahesh Kalidasan,  Krishnakant Gangele,  Debojit K. Deb, Samanta L. Shepherd,  Roger M. Phillips,  Krishna Mohan Poluri,  and Mohan Rao Kollipara|2017|Chem. Sel.|2|2065|doi:10.1002/slct.201601926
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.cc1mb4jm
title: CCDC 1499300: Experimental Crystal Structure Determination

description: Related Article: Basava Punna Rao Aradhyula,  Mahesh Kalidasan,  Krishnakant Gangele,  Debojit K. Deb, Samanta L. Shepherd,  Roger M. Phillips,  Krishna Mohan Poluri,  and Mohan Rao Kollipara|2017|Chem. Sel.|2|2065|doi:10.1002/slct.201601926
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.cc1mgz02
title: CCDC 1503934: Experimental Crystal Structure Determination

description: Related Article: Suman Dana,  Harekrishna Sahoo,  Ayan Bhattacharyya,  Anup Mandal,  Edamana Prasad,  Mahiuddin Baidya|2017|Chem. Sel.|2|2029|doi:10.1002/slct.201700073
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.cc1k1wcv
title: CCDC 1431777: Experimental Crystal Structure Determination

description: Related Article: Karunesh Keshav,  Avanish Dvivedi,  Mangalampalli Ravikanth|2017|Chem. Sel.|2|2014|doi:10.1002/slct.201601693
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.cc1k1wdw
title: CCDC 1431778: Experimental Crystal Structure Determination

description: Related Article: Karunesh Keshav,  Avanish Dvivedi,  Mangalampalli Ravikanth|2017|Chem. Sel.|2|2014|doi:10.1002/slct.201601693
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.cc1kj216
title: CCDC 1445407: Experimental Crystal Structure Determination

description: Related Article: Xin-Xiong Li, Lin-Jie Zhang, Cai-Yan Cui, Rui-Hu Wang, Guo-Yu Yang|2018|Inorg.Chem.|57|10323|doi:10.1021/acs.inorgchem.8b01528
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.cc1kj227
title: CCDC 1445408: Experimental Crystal Structure Determination

description: Related Article: Xin-Xiong Li, Lin-Jie Zhang, Cai-Yan Cui, Rui-Hu Wang, Guo-Yu Yang|2018|Inorg.Chem.|57|10323|doi:10.1021/acs.inorgchem.8b01528
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.cc1n1rr6
title: CCDC 1521038: Experimental Crystal Structure Determination

description: Related Article: Soumyabrata Goswami,  Gregory Leitus,  Israel Goldberg|2017|Chem. Sel.|2|2322|doi:10.1002/slct.201700136
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.cc1n1rs7
title: CCDC 1521039: Experimental Crystal Structure Determination

description: Related Article: Soumyabrata Goswami,  Gregory Leitus,  Israel Goldberg|2017|Chem. Sel.|2|2322|doi:10.1002/slct.201700136
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.cc1n1rt8
title: CCDC 1521040: Experimental Crystal Structure Determination

description: Related Article: Soumyabrata Goswami,  Gregory Leitus,  Israel Goldberg|2017|Chem. Sel.|2|2322|doi:10.1002/slct.201700136
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: 10.15128/r1ng451h522
title: Simultaneous Two-Photon Resonant Optical Laser Locking (STROLLing) in the hyperfine Paschen--Back regime [dataset]

description: We demonstrate a technique to lock simultaneously two laser frequencies to each step of a two-photon transition in the presence of a magnetic field sufficiently large to gain access to the hyperfine Paschen-Back regime. A ladder configuration with the 5S1/2, 5P3/2 and 5D5/2 terms in a thermal vapour of 87Rb atoms is used. The two lasers remain locked for more than 24 hours. For the sum of the laser frequencies, which represents the stability of the two-photon lock, we measure a frequency instability of less than the Rb D2 natural linewidth of 6 MHz for nearly all measured time scales
DOI: 10.17632/2h3wdzzpx9.1
title: Data for: Deterministic Approach for Solving Multi-Objective Non-Smooth Environmental/Economic Dispatch Problem

description: The data provided are aimed at constructing the Pareto curve for multi-objective Economic and Environmental Dispatch Problems with Valve-Point loading (EEDP-VP) effects, for benchmark generatting systems with 6, 10, 19 and 40 units. With this information the Pareto curves provided in our paper can be reproduced by other authors. Since the results are very lengthy, we opted to include them as additional information of our paper.
DOI: 10.5281/zenodo.1342618
title: Human Hydroxyacid Oxidase (Hao1); A Target Enabling Package

description: This project provides the tools and data to develop small molecule inhibitors for an inherited metabolic disorder (Primary hyperoxaluria type 1) due to the defective enzyme (AGXT), by targeting the enzyme (HAO1) upstream of the glyoxylate metabolic pathway to mitigate the defect (i.e. substrate reduction approach). This TEP package includes recombinant human HAO1 purification protocols, structures of the HAO1 in different states, <em>in vitro </em>assays to detect ligand/inhibitor binding (DSF, SPR) and enzyme activity (amplex red assay) of human HAO1, as well as initial chemical matters identified from crystallography-based fragment screening.
description: Future versions of this document will contain experimental data about the HAO1 TEP.
DOI: 10.5445/ir/1000085083
title: Training data and emulators for the analysis of sensitivity of deep convective clouds and hail to environmental conditions

description: This study aims to identify model parameters describing atmospheric conditions such as wind shear and CCN concentration which lead to large uncertainties in the prediction of deep convective clouds.
In an idealized setup of a cloud-resolving model including a two-moment microphysics scheme we use the approach of statistical emulation to allow for a Monte Carlo sampling of the parameter space, which enables a comprehensive sensitivity analysis. We analyze the impact of six uncertain input parameters on cloud properties (vertically integrated content of six hydrometeor classes), precipitation and the size distribution of hail. 
This dataset contains the processed model output and the generated emulators for three trigger mechanisms of deep convection (warm bubble, cold pool, orography).