cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/2n3m-tj21
title: Parkes observations for project P456 semester 2020OCTS_15

description: The Parkes Pulsar Timing Array (PPTA) project has three primary goals: (a) detection of gravitational waves from astronomical sources, (b) establishment of a pulsar timescale, and (c) improvement of our understanding of Solar-system dynamics. The PPTA is the oldest of three international pulsar timing groups. We have the smallest telescope and the smallest group, but the best measurements and the best results. Our bound on the strength of the incoherent gravitational wave background is the only bound which significantly constrains theoretical models. We have maintained our leading position because: we have the southern sky; we have a small but well-focussed group; we have the best-calibrated receivers; and we have been able to observe with an almost regular cadence of 15 to 20 days over a wide bandwidth. With this proposal we aim to maintain our pre-eminent position in the field. Unlike most observing proposals, this is a continuing proposal for which the observations will continue to improve bounds on ultra-low-frequency gravitational waves until they are finally detected. Continued Parkes observations will remain valuable at least until the first stage of the SKA is able to improve on our sensitivity and observing cadence. Even after the gravitational wave background is detected we will want to continue observations in support of the nascent field of gravitational wave astronomy!
DOI: 10.15468/u93kdp
title: Two new Canthocamptidae (Copepoda, Harpacticoida) from sponges of the Kara and Laptev Seas

description: This dataset contains the digitized treatments in Plazi based on the original journal article Novikov, Aleksandr, Sharafutdinova, Dayana (2021): Two new Canthocamptidae (Copepoda, Harpacticoida) from sponges of the Kara and Laptev Seas. Zootaxa 4948 (3): 336-362, DOI: https://doi.org/10.11646/zootaxa.4948.3.2
DOI: 10.5517/ccdc.csd.cc23xk3q
title: CCDC 1963853: Experimental Crystal Structure Determination

description: Related Article: Xiaoting Liu, Ziqi Yang, Chengda Ge, Hanming Li, Mingwei Hao, Chenlian Wan, Yilong Song, Bao Li, Qingfeng Dong    
|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24tvb5
title: CCDC 1991047: Experimental Crystal Structure Determination

description: Related Article: Rafal Kulmaczewski, Faith Bamiduro, Namrah Shahid, Oscar Cespedes, Malcolm A. Halcrow|2020|Chem.-Eur.J.|27|2082|doi:10.1002/chem.202004072
DOI: 10.5517/ccdc.csd.cc24tvc6
title: CCDC 1991048: Experimental Crystal Structure Determination

description: Related Article: Rafal Kulmaczewski, Faith Bamiduro, Namrah Shahid, Oscar Cespedes, Malcolm A. Halcrow|2020|Chem.-Eur.J.|27|2082|doi:10.1002/chem.202004072
DOI: 10.5517/ccdc.csd.cc24tvd7
title: CCDC 1991049: Experimental Crystal Structure Determination

description: Related Article: Rafal Kulmaczewski, Faith Bamiduro, Namrah Shahid, Oscar Cespedes, Malcolm A. Halcrow|2020|Chem.-Eur.J.|27|2082|doi:10.1002/chem.202004072
DOI: 10.5517/ccdc.csd.cc26qy52
title: CCDC 2047834: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qy63
title: CCDC 2047835: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qy74
title: CCDC 2047836: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qy85
title: CCDC 2047837: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qy96
title: CCDC 2047838: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qyb7
title: CCDC 2047839: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qyc8
title: CCDC 2047840: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qyd9
title: CCDC 2047841: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qyfb
title: CCDC 2047842: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qygc
title: CCDC 2047843: Experimental Crystal Structure Determination

description: Related Article: Oleg V. Kulikov, Gregory T. McCandless, and Ray H. Baughman|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qysp
title: CCDC 2047853: Experimental Crystal Structure Determination

description: Related Article: Gregory T. McCandless and John W. Sibert|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qytq
title: CCDC 2047854: Experimental Crystal Structure Determination

description: Related Article: Gregory T. McCandless and John W. Sibert|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26qyxt
title: CCDC 2047857: Experimental Crystal Structure Determination

description: Related Article: Gregory T. McCandless|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rb6j
title: CCDC 2048207: Experimental Crystal Structure Determination

description: Related Article: Luchuan Ju, Chunhua Tony Hu, Tianning Diao|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rdzc
title: CCDC 2048293: Experimental Crystal Structure Determination

description: Related Article: Vitaliy V. Shorohov, Irina   I. Levina, Victor  B. Rybakov, Igor    V. Trushkov, Olga    A. Ivanova|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rgfw
title: CCDC 2048338: Experimental Crystal Structure Determination

description: Related Article: Panayiotis A. Koutentis, Mahendar Lodi, Andreas Kourtellaris|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rgjz
title: CCDC 2048341: Experimental Crystal Structure Determination

description: Related Article: Panayiotis A. Koutentis, Mahendar Lodi, Andreas Kourtellaris|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rgp4
title: CCDC 2048346: Experimental Crystal Structure Determination

description: Related Article: Panayiotis A. Koutentis, Maria Koyioni, Andreas Kourtellaris|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rgq5
title: CCDC 2048347: Experimental Crystal Structure Determination

description: Related Article: Panayiotis A. Koutentis, Maria Koyioni, Andreas Kourtellaris|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26rgr6
title: CCDC 2048348: Experimental Crystal Structure Determination

description: Related Article: Raj K Bansal|2020|CSD Communication|||
description: Related Article: Minita Ojha, Mandala Anitha, Raj K. Bansal|2021|J.Mol.Struct.|1233|130103|doi:10.1016/j.molstruc.2021.130103
DOI: 10.5517/ccdc.csd.cc26rhk1
title: CCDC 2048373: Experimental Crystal Structure Determination

description: Related Article: Robin Rogers|2020|CSD Communication|||
DOI: 10.15468/vpvhad
title: New Australian Erotylinae with notes on Dacnini (Coleoptera: Cucujoidea Erotylidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Skelley, Paul E., Leschen, Richard A. B., Liu, Zhenhua (2021): New Australian Erotylinae with notes on Dacnini (Coleoptera: Cucujoidea Erotylidae). Zootaxa 4948 (3): 363-380, DOI: https://doi.org/10.11646/zootaxa.4948.3.3
DOI: 10.34683/sr411
title: StoneRounds Case: SR411
title: Enhanced S-Cone Syndrome

description: StoneRounds Case SR411 was diagnosed with Enhanced S-Cone Syndrome likely caused by mutations in the gene: NR2E3.
DOI: 10.6073/pasta/01aed17dfb17b946d59306ee138e4489
title: Snow pit chemistry data for Niwot Ridge and Green Lakes Valley, 1993 - 2000.

description: Snow pits were excavated at various locations on Niwot Ridge and within the Green Lakes Valley. Temperature and snow density were measured at various depths throughout the snow cover profiles in order to characterize the temperature and snow water equivalent (SWE) of the snowpack throughout the year. Snow density was measured at 10-cm intervals using a 1000-ml cutter. Data on snow grain qualities were collected beginning in the 1994-95 snow season. Snow samples were collected and analyzed for cations and anions at the Mountain Research Station's Kiowa Laboratory.
DOI: 10.15468/gz8rvq
title: Review of the Pacific leafhopper genus Hecaloidella (Hemiptera: Cicadellidae Deltocephalinae: Selenocephalini) with description of sixteen new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Xu, Deliang, Webb, Michael D., Shang, Suqin, Zhang, Yalin (2021): Review of the Pacific leafhopper genus Hecaloidella (Hemiptera: Cicadellidae Deltocephalinae: Selenocephalini) with description of sixteen new species. Zootaxa 4948 (3): 381-403, DOI: https://doi.org/10.11646/zootaxa.4948.3.4
DOI: 10.5281/zenodo.4666361
title: Job workflow (in the form of DAG) specification information for scheduling or prediction.

description: This dataset contains more than 63000 records about some basic information of workflow dags that has been submitted to Distributed Systems Research Lab, SRBIAU in 2020. These records can be used for different purposes such as verifying randomly generated graphs in scheduling simulation problems.
DOI: 10.5281/zenodo.4666360
title: Job workflow (in the form of DAG) specification information for scheduling or prediction.

description: This dataset contains more than 63000 records about some basic information of workflow dags that has been submitted to Distributed Systems Research Lab, SRBIAU in 2020. These records can be used for different purposes such as verifying randomly generated graphs in scheduling simulation problems.
DOI: 10.5281/zenodo.4667257
title: Dataset pertaining to Muralikrishnan and Idrissi (2021). Salience-weighted agreement feature hierarchy modulates language comprehension. Cortex.

description: Dataset pertaining to <strong>Muralikrishnan and Idrissi (2021). Salience-weighted agreement feature hierarchy modulates language comprehension.</strong> <em>Cortex</em>.
DOI: 10.25422/azu.data.13269452
title: 2015 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the NE distal lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using a Phantom 3 Pro imaging system, aerial images were acquired over short section of the NE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS and a ground control points (GCPs) network. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 7 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 2.7 cm. Both the DTM and orthomosaic products have a spatial resolution of 4 cm/pixel, but the DTM has an effective resolution of ~16 cm/pixel.<br><br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2015-09-04<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i><br>
DOI: 10.25422/azu.data.13269452.v2
title: 2015 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the NE distal lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using a Phantom 3 Pro imaging system, aerial images were acquired over short section of the NE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS and a ground control points (GCPs) network. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 7 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 2.7 cm. Both the DTM and orthomosaic products have a spatial resolution of 4 cm/pixel, but the DTM has an effective resolution of ~16 cm/pixel.<br><br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2015-09-04<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i><br>
DOI: 10.25422/azu.data.13269452.v1
title: 2015 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the NE distal lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using a Phantom 3 Pro imaging system, aerial images were acquired over short section of the NE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS and a ground control points (GCPs) network. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 7 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 2.7 cm. Both the DTM and orthomosaic products have a spatial resolution of 4 cm/pixel, but the DTM has an effective resolution of ~16 cm/pixel.<br><br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2015-09-04<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i><br>
DOI: 10.25422/azu.data.13269464
title: 2015 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the SE lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using a Phantom 3 Pro imaging system, aerial images were acquired over a short section of the SE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS and a ground control points (GCPs) network. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 7 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 10.6 cm. Both the DTM and orthomosaic products have a spatial resolution of 2 cm/pixel, but the DTM has an effective resolution of ~4 cm/pixel.<br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2015-08-24<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i>
DOI: 10.25422/azu.data.13269464.v2
title: 2015 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the SE lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using a Phantom 3 Pro imaging system, aerial images were acquired over a short section of the SE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS and a ground control points (GCPs) network. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 7 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 10.6 cm. Both the DTM and orthomosaic products have a spatial resolution of 2 cm/pixel, but the DTM has an effective resolution of ~4 cm/pixel.<br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2015-08-24<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i>
DOI: 10.25422/azu.data.13269464.v1
title: 2015 Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the SE lava flow margin, Holuhraun lava flow-field, Vatnajökull National Park, Iceland

description: Using a Phantom 3 Pro imaging system, aerial images were acquired over a short section of the SE Holuhraun lava flow margin, adjacent interior and adjacent river systems. Images were initially geocoded using the device's onboard GPS and a ground control points (GCPs) network. Final products were coregistered to more precise geocoded image data collected later in 2016. Images were processed into geodetically-controlled digital terrain models (DTMs) and orthomosaics using the commercial software package Pix4Dmapper Pro version 2.0.81. In Pix4Dmapper Pro, data products were geocoded by attributing the 3D coordinates of geocoded image coregistration targets to corresponding pixels in a subset of 2D images. The 2016 image data used for coregistration utilized DGPS measurements. To estimate the localization accuracy, we used a network of N = 7 coregistration points; the resulting mean of the root mean square error (RMSE) of x, y, and z directions (i.e., latitude, longitude, and elevation) is 10.6 cm. Both the DTM and orthomosaic products have a spatial resolution of 2 cm/pixel, but the DTM has an effective resolution of ~4 cm/pixel.<br><b>Topic Categories (ISO 19115)</b>elevation, geoscientificinformation, imageryBaseMapsEarthCover<br><br><b>Feature and Attribute Definitions</b>A georeferenced raster displaying elevation data generated from digital camera image data using multi-view stereophotogrammetry methods.<br><b>Date of Content</b>2015-08-24<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i><br><i>This item is part of Unmanned aerial system (UAS)-derived orthoimage mosaics and digital terrain models of the northeastern portion of the Holuhraun lava flow-field, Iceland</i>