cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21713942.v1
title: ML_code_final.R

description: R Code to use random forests and support vector machines to classify a tallgrass prairie in Kansas, using NAIP and NEON imagery, vegetation indicies, and LiDAR. The US government has been investing in fine resolution (&lt;2m<sup>2</sup>) remote sensing through USDA NAIP and the National Ecological Observatory Network (NEON), both of which cost multi-million dollars each year and contain different remote sensed products. We compared two methods of classification (random forests and support vector machines) with these two freely available remotely sensed aerial images to determine if and how much NEON adds to classification accuracy and determine which method of machine learning was more accurate. Necessary inputs can be found and downloaded at: DOI: 10.6073/pasta/a7b40e41080460bb1123dcc7b6d4d942
DOI: 10.6084/m9.figshare.21713942
title: ML_code_final.R

description: R Code to use random forests and support vector machines to classify a tallgrass prairie in Kansas, using NAIP and NEON imagery, vegetation indicies, and LiDAR. The US government has been investing in fine resolution (&lt;2m<sup>2</sup>) remote sensing through USDA NAIP and the National Ecological Observatory Network (NEON), both of which cost multi-million dollars each year and contain different remote sensed products. We compared two methods of classification (random forests and support vector machines) with these two freely available remotely sensed aerial images to determine if and how much NEON adds to classification accuracy and determine which method of machine learning was more accurate. Necessary inputs can be found and downloaded at: DOI: 10.6073/pasta/a7b40e41080460bb1123dcc7b6d4d942
DOI: 10.5281/zenodo.7429986
title: Base de dados pesquisa sobre a atuação de professores brasileiros na pandemia e a síndrome de burnout

description: A pesquisa desenvolvida na Universidade Federal de Santa Catarina teve o objetivo de analisar os níveis da Síndrome de Burnout na atuação docente durante a pandemia, procurando identificar fatores, condições e níveis de ensino que pudessem ser associados. A Síndrome de Burnout está associada a atividade profissional incluindo o esgotamento, a exaustão emocional, o estresse crônico e a desumanização. A pesquisa prevê dois procedimentos para coleta de dados. Em um primeiro momento construiu-se o instrumento que foi validado junto à especialistas. O questionário aplicado online incluiu questões sociodemográficas e de condições de saúde, bem como condições pessoais e institucionais para atuação como professor durante a pandemia e inclui a adaptação de um instrumento padronizado sobre a Síndrome de Burnout.
DOI: 10.5281/zenodo.7429985
title: Base de dados pesquisa sobre a atuação de professores brasileiros na pandemia e a síndrome de burnout

description: A pesquisa desenvolvida na Universidade Federal de Santa Catarina teve o objetivo de analisar os níveis da Síndrome de Burnout na atuação docente durante a pandemia, procurando identificar fatores, condições e níveis de ensino que pudessem ser associados. A Síndrome de Burnout está associada a atividade profissional incluindo o esgotamento, a exaustão emocional, o estresse crônico e a desumanização. A pesquisa prevê dois procedimentos para coleta de dados. Em um primeiro momento construiu-se o instrumento que foi validado junto à especialistas. O questionário aplicado online incluiu questões sociodemográficas e de condições de saúde, bem como condições pessoais e institucionais para atuação como professor durante a pandemia e inclui a adaptação de um instrumento padronizado sobre a Síndrome de Burnout.
DOI: 10.5517/ccdc.csd.cc2d1sr0
title: CCDC 2206262: Experimental Crystal Structure Determination

description: Related Article: Duo-Fu Li, Feng Guo, Xiao-Li He, Yao-Zhen Wu, Xiang-Hong Deng, Kang-Ping Yang, Yan Sui, Yong-Xiu Li|2022|CrystEngComm|24|8496|doi:10.1039/D2CE01297A
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.cc2d2vq2
title: CCDC 2207284: Experimental Crystal Structure Determination

description: Related Article: Yun-Jing Zhong, Yu-Ying Zhu, Jin-Lin Mo, Sheng-Lan Ye, Wen-Dan Luo, Xin Huang, Wen-Bin Chen, Wen Dong|2022|CrystEngComm|24|8488|doi:10.1039/D2CE01303G
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.cc2d40cy
title: CCDC 2208389: Experimental Crystal Structure Determination

description: Related Article: Vladislava V. Matveevskaya, Dmitry I. Pavlov, Andrei S. Potapov|2022|Inorganics|10|179|doi:10.3390/inorganics10110179
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.cc2d40dz
title: CCDC 2208390: Experimental Crystal Structure Determination

description: Related Article: Vladislava V. Matveevskaya, Dmitry I. Pavlov, Andrei S. Potapov|2022|Inorganics|10|179|doi:10.3390/inorganics10110179
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.cc2d40f0
title: CCDC 2208391: Experimental Crystal Structure Determination

description: Related Article: Vladislava V. Matveevskaya, Dmitry I. Pavlov, Andrei S. Potapov|2022|Inorganics|10|179|doi:10.3390/inorganics10110179
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.cc2d4q7j
title: CCDC 2209067: Experimental Crystal Structure Determination

description: Related Article: Roxana A. Popa, Maria David, Emilia Licarete, Manuela Banciu, Anca Silvestru|2022|New J.Chem.|46|23019|doi:10.1039/D2NJ04812D
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.cc2d4q8k
title: CCDC 2209068: Experimental Crystal Structure Determination

description: Related Article: Roxana A. Popa, Maria David, Emilia Licarete, Manuela Banciu, Anca Silvestru|2022|New J.Chem.|46|23019|doi:10.1039/D2NJ04812D
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.cc2d4q9l
title: CCDC 2209069: Experimental Crystal Structure Determination

description: Related Article: Roxana A. Popa, Maria David, Emilia Licarete, Manuela Banciu, Anca Silvestru|2022|New J.Chem.|46|23019|doi:10.1039/D2NJ04812D
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.cc2d4qbm
title: CCDC 2209070: Experimental Crystal Structure Determination

description: Related Article: Roxana A. Popa, Maria David, Emilia Licarete, Manuela Banciu, Anca Silvestru|2022|New J.Chem.|46|23019|doi:10.1039/D2NJ04812D
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.cc2d570v
title: CCDC 2209556: Experimental Crystal Structure Determination

description: Related Article: Hee Sun Park, Jae-Chang Lee, Myung-Hwa Jung, Yong-Min Lee, Wonwoo Nam, Nam Hwi Hur|2022|CrystEngComm|24|8354|doi:10.1039/D2CE01370C
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.cc2d571w
title: CCDC 2209557: Experimental Crystal Structure Determination

description: Related Article: Hee Sun Park, Jae-Chang Lee, Myung-Hwa Jung, Yong-Min Lee, Wonwoo Nam, Nam Hwi Hur|2022|CrystEngComm|24|8354|doi:10.1039/D2CE01370C
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.2609498
title: CHAS - Cultural Heritage Architectural Segmentation dataset

description: CHAS is a point cloud dataset from cultural heritage aimed to provide data for semantic segmentation techniques. The data in this repository were generated by terrestrial laser scanning and pictures from aerial survey using UAV. This dataset comprises relevant buildings representing religious and colonial Brazilian architecture. We hope to allow future research in point cloud segmentation and automatic Building Information Modeling. We use the .7z file format to compact the clouds, providing high compression ratio. File names with "raw" suffix refers to RGB registered cloud. The "gt" suffix stands for ground truth clouds. <strong>Raw point cloud description</strong> Name Architectural Style Construction Year TLS UAV Points* ID Good Death's Church Neoclassical 1867 Yes Yes 210 <em>boa_morte</em><br> Central Mill Industrial 1881 Yes Yes 26 <em>engenho</em><br> Ball House Modern 1940 Yes No 370 <em>baile</em><br> Quilombo Farm Colonial 1891 Yes Yes 55 <em>quilombo</em> St. Francis of Assisi Church Modern 1943 Yes Yes 46 <em>curia</em> * millions <strong>Equipment</strong> FARO Focus3D X 330 HDR* DJI Inspire 2 with Gimbal DJI Zenmuse X4S 4K | H264 | F2.8 - F11 | 20MP** DJI Spark 12 MP Full HD GPS ** <em>*Terrestrial Laser Scanner (TLS)</em> <em>**Unmanned Aerial Vehicle (UAV)</em> <strong>Software</strong> The following third-party software have been used to register the clouds.: FARO SCENE, CloudCompare and Pix4D Mapper. For a better understanding of the hybrid point cloud registration approach used in this dataset we recommend the following article: BIM for Heritage Documentation An ontology-based approach. <strong>Ground-truth</strong> Ground-Truth in this dataset was manually created with the Interactive Segmentation Tool on CloudCompare. Distinct colors represent different architectural elements. An “optimal” segmentation algorithm must partition the raw point clouds into equivalent single-color ground-truth clusters. <strong>How to cite this dataset?</strong> Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G. "Historical building point cloud segmentation combining hierarchical watershed transform and curvature analysis." <em>Pattern Recognition Letters</em> 135 (2020): 114-121. DOI: https://doi.org/10.1016/j.patrec.2020.04.010 Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G. "<em>CHAS - Cultural Heritage Architectural Segmentation dataset</em>". Zenodo, March 26 2019. DOI: https://doi.org/10.5281/zenodo.2609498
description: This dataset was funded by São Paulo Research Foundation trough e-Science program grants: #2016/04991-0, #2017/02787-9, #2017/01237-5.
DOI: 10.5281/zenodo.2609497
title: CHAS - Cultural Heritage Architectural Segmentation dataset

description: CHAS is a point cloud dataset from cultural heritage aimed to provide data for semantic segmentation techniques. The data in this repository were generated by terrestrial laser scanning and pictures from aerial survey using UAV. This dataset comprises relevant buildings representing religious and colonial Brazilian architecture. We hope to allow future research in point cloud segmentation and automatic Building Information Modeling. We use the .7z file format to compact the clouds, providing high compression ratio. File names with "raw" suffix refers to RGB registered cloud. The "gt" suffix stands for ground truth clouds. <strong>Raw point cloud description</strong> Name Architectural Style Construction Year TLS UAV Points* ID Good Death's Church Neoclassical 1867 Yes Yes 210 <em>boa_morte</em><br> Central Mill Industrial 1881 Yes Yes 26 <em>engenho</em><br> Ball House Modern 1940 Yes No 370 <em>baile</em><br> Quilombo Farm Colonial 1891 Yes Yes 55 <em>quilombo</em> St. Francis of Assisi Church Modern 1943 Yes Yes 46 <em>curia</em> * millions <strong>Equipment</strong> FARO Focus3D X 330 HDR* DJI Inspire 2 with Gimbal DJI Zenmuse X4S 4K | H264 | F2.8 - F11 | 20MP** DJI Spark 12 MP Full HD GPS ** <em>*Terrestrial Laser Scanner (TLS)</em> <em>**Unmanned Aerial Vehicle (UAV)</em> <strong>Software</strong> The following third-party software have been used to register the clouds.: FARO SCENE, CloudCompare and Pix4D Mapper. For a better understanding of the hybrid point cloud registration approach used in this dataset we recommend the following article: BIM for Heritage Documentation An ontology-based approach. <strong>Ground-truth</strong> Ground-Truth in this dataset was manually created with the Interactive Segmentation Tool on CloudCompare. Distinct colors represent different architectural elements. An “optimal” segmentation algorithm must partition the raw point clouds into equivalent single-color ground-truth clusters. <strong>How to cite this dataset?</strong> Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G. "Historical building point cloud segmentation combining hierarchical watershed transform and curvature analysis." <em>Pattern Recognition Letters</em> 135 (2020): 114-121. DOI: https://doi.org/10.1016/j.patrec.2020.04.010 Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G. "<em>CHAS - Cultural Heritage Architectural Segmentation dataset</em>". Zenodo, March 26 2019. DOI: https://doi.org/10.5281/zenodo.2609498
description: This dataset was funded by São Paulo Research Foundation trough e-Science program grants: #2016/04991-0, #2017/02787-9, #2017/01237-5.
DOI: 10.34740/kaggle/dsv/4713949
title: Egypt Gold Prices | Daily Updated
DOI: 10.34740/kaggle/dsv/4713978
title: Photovoltaik Installations by Zipcode in Germany
DOI: 10.6084/m9.figshare.21713996
title: Data and software scripts for "The Impact of Species Tree Estimation Error on Cophylogenetic Reconstruction"

description: Data and software scripts for manuscript titled "The Impact of Species Tree Estimation Error on Cophylogenetic Reconstruction".
DOI: 10.6084/m9.figshare.21713999
title: Vías de financiación del podcaster independiente en Puerto Rico

description: This table details the financing methods used by the independent podcaster in Puerto Rico to produce content. <br>
DOI: 10.6084/m9.figshare.21713999.v1
title: Vías de financiación del podcaster independiente en Puerto Rico

description: This table details the financing methods used by the independent podcaster in Puerto Rico to produce content. <br>
DOI: 10.17909/3z6p-7b75
title: BCG Sample from Dornan & Harris (2023)

description: A sample of 11 BCGs from which the GCS masses and DM halo masses were determined
DOI: 10.7298/k8wf-bh80
title: Data from: Aedes albopictus host odor preference does not drive observed variation in feeding patterns across field populations
DOI: 10.5281/zenodo.7422673
title: Recording of Artemis I EQUULEUS with the Allen Telescope Array on 2022-11-16

description: This dataset contains an IQ recording of the X-band 8443.5 MHz MHz telemetry signal from the Artemis I EQUULEUS cubesat. The recording was done on 2022-11-16, about seven hours after launch. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization. The hardware configuration was as follows: the antennas were connected to RFCB LO d, which was tuned to a frequency of 8443.5 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 digitized both polarizations of antenna 1a, while the USRP N320 digitized both polarizations of antenna 5c. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRPs was 1.92 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. After recording, the data was converted to SigMF format. The detached headers are also provided in the dataset (they have the .hdr extension).
DOI: 10.5281/zenodo.7422672
title: Recording of Artemis I EQUULEUS with the Allen Telescope Array on 2022-11-16

description: This dataset contains an IQ recording of the X-band 8443.5 MHz MHz telemetry signal from the Artemis I EQUULEUS cubesat. The recording was done on 2022-11-16, about seven hours after launch. Antennas 1a and 5c from the Allen Telescope Array were used in dual XY (linear) polarization. The hardware configuration was as follows: the antennas were connected to RFCB LO d, which was tuned to a frequency of 8443.5 MHz and used an output IF of 512 MHz. A USRP N321 and a USRP N320 were connected to the IF output of the RFCB. The USRP N321 digitized both polarizations of antenna 1a, while the USRP N320 digitized both polarizations of antenna 5c. The USRPs used an external 10 MHz reference and PPS coming from the observatory distribution system, and LO sharing was set up among all the channels. The IQ sample rate of the USRPs was 1.92 Msps, and a GNU Radio flowgraph was used to record IQ data to disk. The GNU Radio flowgraph stored the IQ data for each channel as 16-bin integers in the GNU Radio metatata file format, with detached headers. After recording, the data was converted to SigMF format. The detached headers are also provided in the dataset (they have the .hdr extension).
DOI: 10.5281/zenodo.6506754
title: Gene family data from the PhyloGenes (release version 4.0, phylogenes.org)

description: The data files were generated from the PhyloGenes 4.0 release (see release notes here). About the two zip files: 1. phyloXML.zip (these are different and updated from the immediately preceding PhyloGenes 3.2 release) PhyloGenes gene family trees in PhyloXML format, one file per family (e.g. &lt;family_ID&gt;.xml). The following information is provided for each node of a tree:<br> 1) leaf node:<br> branch length<br> name &lt;gene_id&gt;<br> taxonomy scientific_name<br> sequence accession &lt;UniProt ID&gt; 2) non-leaf node:<br> branch length<br> events &lt;duplication or speciation&gt; <br> 2. CSV.zip Functional information of family members in CSV format, one file per family (e.g. &lt;family_ID&gt;.csv). A CSV file includes the following columns:<br> Uniprot ID<br> Gene &lt;Gene name. If none then Gene ID&gt;<br> Gene ID<br> Gene name<br> Organism<br> Subfamily name The columns displayed after 'Subfamily name', if any, are GO annotations. Each column is a GO molecular function or biological process term that is annotated to at least one member of the gene family AND the annotation is supported by an experimental evidence (indicated by 'EXP') or phylogenetic inference (indicated by 'IBA'). A '0' indicates absence of either annotations.
description: The csv files of family members and GO annotations have been updated to include family members that were inadvertently skipped upon initial generation of all the files. Not all families were affected.
DOI: 10.5281/zenodo.6506755
title: Gene family data from the PhyloGenes (release version 4.0, phylogenes.org)

description: The data files were generated from the PhyloGenes 4.0 release (see release notes here). About the two zip files: 1. phyloXML.zip (these are different and updated from the immediately preceding PhyloGenes 3.2 release) PhyloGenes gene family trees in PhyloXML format, one file per family (e.g. &lt;family_ID&gt;.xml). The following information is provided for each node of a tree:<br> 1) leaf node:<br> branch length<br> name &lt;gene_id&gt;<br> taxonomy scientific_name<br> sequence accession &lt;UniProt ID&gt; 2) non-leaf node:<br> branch length<br> events &lt;duplication or speciation&gt; <br> 2. CSV.zip Functional information of family members in CSV format, one file per family (e.g. &lt;family_ID&gt;.csv). A CSV file includes the following columns:<br> Uniprot ID<br> Gene &lt;Gene name. If none then Gene ID&gt;<br> Gene ID<br> Gene name<br> Organism<br> Subfamily name The columns displayed after 'Subfamily name', if any, are GO annotations. Each column is a GO molecular function or biological process term that is annotated to at least one member of the gene family AND the annotation is supported by an experimental evidence (indicated by 'EXP') or phylogenetic inference (indicated by 'IBA'). A '0' indicates absence of either annotations.