cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5822654
title: iMAC data set

description: ================================================================================<br> Title: Comparison between core-collapse supernova nucleosynthesis and meteoric <br> stardust grains: investigating magnesium, aluminium, and chromium <br> Authors: den Hartogh J., Peto M.K., Lawson T., Sieverding A., Brinkman H., <br> Pignatari M., Lugaro M. <br> ================================================================================<br> Description of contents: the data files in this data deposit are either stellar profiles or stellar yields as used in the paper to create figures. All files are machine readable .txt files. Any text editor is able to open these files. A complete list of the files in this repository are provided here: iMAC_profiles/m15exp_LAW_D_subm.txt<br> iMAC_profiles/m15exp_LAW_R_subm.txt<br> iMAC_profiles/m15exp_RIT_D_subm.txt<br> iMAC_profiles/m15exp_RIT_R_subm.txt<br> iMAC_profiles/m15exp_SIE_D_subm.txt<br> iMAC_profiles/m15exp_SIE_R_subm.txt<br> iMAC_profiles/m20exp_LAW_D_subm.txt<br> iMAC_profiles/m20exp_LAW_R_subm.txt<br> iMAC_profiles/m20exp_RIT_D_subm.txt<br> iMAC_profiles/m20exp_RIT_R_subm.txt<br> iMAC_profiles/m20exp_SIE_D_subm.txt<br> iMAC_profiles/m20exp_SIE_R_subm.txt<br> iMAC_profiles/m25exp_LAW_D_subm.txt<br> iMAC_profiles/m25exp_LAW_R_subm.txt<br> iMAC_profiles/m25exp_RIT_D_subm.txt<br> iMAC_profiles/m25exp_RIT_R_subm.txt<br> iMAC_profiles/m25exp_SIE_D_subm.txt<br> iMAC_profiles/m25exp_SIE_R_subm.txt iMAC_yields/m15_yields_D.txt<br> iMAC_yields/m20_yields_D.txt<br> iMAC_yields/m25_yields_D.txt For the profiles the *R_subm.txt files have the following columns:<br> mass,he4,c12,o16,ne20,si28,ni56,fe56,al26,al27,mg24,mg25,mg26,cr50,cr52,cr53,cr54<br> All isotopes are radioactive or non-decayed. For the profiles the *D_subm.txt files have the following columns:<br> mass,al27,mg24,mg25,mg26,cr50,cr52,cr53,cr54<br> All isotopes include all radioactive contributions and are thus fully decayed. The yield files have the following columns:<br> ref Mg24, Mg25, Mg26, Al26, Al27, Cr50, Cr52, Cr53, Cr54<br> All yields are fully decayed. The refs are equal to the labels in Figure 2. <br> <br> <br> <br> System requirements: - Additional comments: the Cr53 data for the middle row of Figure 3 is not included in these files. ================================================================================
DOI: 10.5281/zenodo.5822653
title: iMAC data set

description: ================================================================================<br> Title: Comparison between core-collapse supernova nucleosynthesis and meteoric <br> stardust grains: investigating magnesium, aluminium, and chromium <br> Authors: den Hartogh J., Peto M.K., Lawson T., Sieverding A., Brinkman H., <br> Pignatari M., Lugaro M. <br> ================================================================================<br> Description of contents: the data files in this data deposit are either stellar profiles or stellar yields as used in the paper to create figures. All files are machine readable .txt files. Any text editor is able to open these files. A complete list of the files in this repository are provided here: iMAC_profiles/m15exp_LAW_D_subm.txt<br> iMAC_profiles/m15exp_LAW_R_subm.txt<br> iMAC_profiles/m15exp_RIT_D_subm.txt<br> iMAC_profiles/m15exp_RIT_R_subm.txt<br> iMAC_profiles/m15exp_SIE_D_subm.txt<br> iMAC_profiles/m15exp_SIE_R_subm.txt<br> iMAC_profiles/m20exp_LAW_D_subm.txt<br> iMAC_profiles/m20exp_LAW_R_subm.txt<br> iMAC_profiles/m20exp_RIT_D_subm.txt<br> iMAC_profiles/m20exp_RIT_R_subm.txt<br> iMAC_profiles/m20exp_SIE_D_subm.txt<br> iMAC_profiles/m20exp_SIE_R_subm.txt<br> iMAC_profiles/m25exp_LAW_D_subm.txt<br> iMAC_profiles/m25exp_LAW_R_subm.txt<br> iMAC_profiles/m25exp_RIT_D_subm.txt<br> iMAC_profiles/m25exp_RIT_R_subm.txt<br> iMAC_profiles/m25exp_SIE_D_subm.txt<br> iMAC_profiles/m25exp_SIE_R_subm.txt iMAC_yields/m15_yields_D.txt<br> iMAC_yields/m20_yields_D.txt<br> iMAC_yields/m25_yields_D.txt For the profiles the *R_subm.txt files have the following columns:<br> mass,he4,c12,o16,ne20,si28,ni56,fe56,al26,al27,mg24,mg25,mg26,cr50,cr52,cr53,cr54<br> All isotopes are radioactive or non-decayed. For the profiles the *D_subm.txt files have the following columns:<br> mass,al27,mg24,mg25,mg26,cr50,cr52,cr53,cr54<br> All isotopes include all radioactive contributions and are thus fully decayed. The yield files have the following columns:<br> ref Mg24, Mg25, Mg26, Al26, Al27, Cr50, Cr52, Cr53, Cr54<br> All yields are fully decayed. The refs are equal to the labels in Figure 2. <br> <br> <br> <br> System requirements: - Additional comments: the Cr53 data for the middle row of Figure 3 is not included in these files. ================================================================================
DOI: 10.5281/zenodo.5822630
title: Extra Testing Data for paper "OC_Finder: A deep learning-based software for osteoclast segmentation, classification, and counting"

description: <pre>Here we have 9 datasets we used to validate OC_Finder's performance on various imaging settings. The 9 datasets are inside the folder named "9 datasets for validation experiment". Each dataset is composed of image files and csv files for the coordination of osteoclasts and non-osteoclasts that were manually labelled by human examiner. csv files ending "_posi" has coordination of osteoclasts and "_nega" has coordination of non-osteoclasts. Images in dataset #4, #5, #6, #7, #8, and #9 were resized so the scale of the images matched to the OC_Finder's training dataset. Images in original size before resizing are also provided in "Original images before resizing". Detailed capture setting and resizing information of images in each dataset can be found in "capture setting.xlsx". The number of images in each dataset are as following: #1: 18 #2: 18 #3: 18 #4: 36 #5: 36 #6: 36 #7: 16 #8: 16 #9: 16</pre>
description: For any questions, please make contact with Prof. Daisuke Kihara with email dkihara@purdue.edu.
DOI: 10.5281/zenodo.5822628
title: Extra Testing Data for paper "OC_Finder: A deep learning-based software for osteoclast segmentation, classification, and counting"

description: <pre>Here we have 9 datasets we used to validate OC_Finder's performance on various imaging settings. The 9 datasets are inside the folder named "9 datasets for validation experiment". Each dataset is composed of image files and csv files for the coordination of osteoclasts and non-osteoclasts that were manually labelled by human examiner. csv files ending "_posi" has coordination of osteoclasts and "_nega" has coordination of non-osteoclasts. Images in dataset #4, #5, #6, #7, #8, and #9 were resized so the scale of the images matched to the OC_Finder's training dataset. Images in original size before resizing are also provided in "Original images before resizing". Detailed capture setting and resizing information of images in each dataset can be found in "capture setting.xlsx". The number of images in each dataset are as following: #1: 18 #2: 18 #3: 18 #4: 36 #5: 36 #6: 36 #7: 16 #8: 16 #9: 16</pre>
description: For any questions, please make contact with Prof. Daisuke Kihara with email dkihara@purdue.edu.
DOI: 10.5517/ccdc.csd.cc218b2r
title: CCDC 1884833: Experimental Crystal Structure Determination

description: Related Article: Atukuri Dorababu, Ravindra R. Kamble, Saba Kauser J. Shaikh, Shilpa M. Somagond, Praveen K. Bayannavar, Shrinivas D. Joshi|2018|CSD Communication|||
description: Related Article:  Atukuri Dorababu, Ravindra R. Kamble, Saba Kauser J. Shaikh, Shilpa M. Somagond, Praveen K. Bayannavar, Shrinivas D. Joshi|2019|J.Heterocycl.Chem.|56|2430|doi:10.1002/jhet.3630
DOI: 10.5517/ccdc.csd.cc218wfn
title: CCDC 1885371: Experimental Crystal Structure Determination

description: Related Article: Pi‐Yeh Chia, Cheng‐Chen Kuo, Shou‐Ling Huang, Yi‐Hong Liu, Ling‐Kang Liu, Ying‐Chih Lin|2018|CSD Communication|||
description: Related Article: Pi‐Yeh Chia, Cheng‐Chen Kuo, Shou‐Ling Huang, Yi‐Hong Liu, Ling‐Kang Liu, Ying‐Chih Lin|2018|Chem.Asian J.|13|3885|doi:10.1002/asia.201801303
DOI: 10.6084/m9.figshare.17816747
title: Identification of a stereotypic molecular arrangement of endogenous glycine receptors at spinal cord synapses

description: This dataset contains the raw data files associated with the manuscript “Identification of a stereotypic molecular arrangement of endogenous glycine receptors at spinal cord synapses” S.A. Maynard, P. Rostaing, N. Schaefer, O. Gemin, A. Candat, A. Dumoulin, C. Villmann, A. Triller, C.G. Specht. eLife 2021 (doi: 10.7554/eLife.74441).<br>https://www.biorxiv.org/content/10.1101/2021.09.09.459599v2<br><br>The repository comprises all the raw data files for confocal imaging, super-resolution PALM and SRRF imaging, electron microscopy and electrophysiology utilised in the manuscript. <br>An accompanying README text file describes the IDs for each sample in each dataset, which information was used from each dataset and which figure each dataset corresponds to.<br>
DOI: 10.6084/m9.figshare.17816747.v1
title: Identification of a stereotypic molecular arrangement of endogenous glycine receptors at spinal cord synapses

description: This dataset contains the raw data files associated with the manuscript “Identification of a stereotypic molecular arrangement of endogenous glycine receptors at spinal cord synapses” S.A. Maynard, P. Rostaing, N. Schaefer, O. Gemin, A. Candat, A. Dumoulin, C. Villmann, A. Triller, C.G. Specht. eLife 2021 (doi: 10.7554/eLife.74441).<br>https://www.biorxiv.org/content/10.1101/2021.09.09.459599v2<br><br>The repository comprises all the raw data files for confocal imaging, super-resolution PALM and SRRF imaging, electron microscopy and electrophysiology utilised in the manuscript. <br>An accompanying README text file describes the IDs for each sample in each dataset, which information was used from each dataset and which figure each dataset corresponds to.<br>
DOI: 10.5281/zenodo.5820685
title: uprolls2021-n

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5820684
title: uprolls2021-n

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.15468/ycx3vp
title: Paraphyly and low levels of genetic divergence in morphologically distinct taxa: revision of the Pseudoanthidium scapulare complex of carder bees (Apoidea: Megachilidae: Anthidiini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Litman, Jessica R., Fateryga, Alexander V., Griswold, Terry L., Aubert, Matthieu, Proshchalykin, Maxim Yu., Divelec, Romain Le, Burrows, Skyler, Praz, Christophe J. (2021): Paraphyly and low levels of genetic divergence in morphologically distinct taxa: revision of the Pseudoanthidium scapulare complex of carder bees (Apoidea: Megachilidae: Anthidiini). Zoological Journal of the Linnean Society CLXVI (CLXVI): 1-51, DOI: 10.1093/zoolinnean/zlab062
DOI: 10.26300/a2h4-v710
title: Project: Screening for Lung Cancer With Low-Dose Computed Tomography: An Evidence Review for the U.S. Preventive Services Task Force
DOI: 10.5281/zenodo.5822621
title: Nemapteryx armiger RB0383 SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5822620
title: Nemapteryx armiger RB0383 SPAdes preassembly

description: .
DOI: 10.18434/mds2-1930
title: A suite of atomic structure codes originally developed by R. D. Cowan adapted for Windows-based personal computers.
DOI: 10.5281/zenodo.5822692
title: Supporting information for v1 of ``A Transparent Window into Early-Type Stellar Variability''

description: These folders contain grids of main-sequence stellar models computed four different metallicities and masses varying from 0.1-60 MSun. Models were computed using MESA r15140 following commit `7619a75` in this GitHub repo: https://github.com/adamjermyn/conv_trends The metallicities are as follows: main_Z_time_2021_12_14_12_59_57_sha_3d07 - Z = 0.002 (SMC) main_Z_time_2021_12_14_13_00_09_sha_5afc - Z = 0.006 (LMC) main_Z_time_2021_12_14_13_00_18_sha_c740 - Z = 0.01<br> main_Z_time_2021_12_14_13_00_27_sha_db89 - Z = 0.014 (MW)
DOI: 10.25919/714t-n609
title: Parkes observations for project P1129 semester 2021OCTS_05

description: PSR J0837-2454 is a young, high-Galactic-latitude pulsar, whose distance derived from dispersion measure (DM) implies a height of $&gt;$1~kpc above the Galactic plane. The young age (28kyr) and position can be explained if (i) the pulsar was born at this high Galactic $z$-height from a runaway or walkaway O/B star; or (ii) the DM-derived distance to this pulsar is incorrect and the pulsar is closer to the plane of the Galaxy. Obtaining a coherent timing solution for the pulsar over the coming year will allow gated VLBA observations which, along with an independent estimate of the proper motion, will also provide us with a distance to the pulsar through a measurement of the parallax, if the pulsar is closer than the DM implies. These measurements are crucial to determining whether or not this pulsar represents the remnants of a rare Milky Way halo O/B star. In addition, studying the scattering and scintillation will allow us to test whether there is any additional source of DM along the line of sight to the pulsar that might inflate its DM-derived distance, and hence its height above the Galactic plane. Finally, measuring the polarisation properties of the pulsar will allow us to study its beam geometry, as well as further investigate the ISM and the Galactic magnetic field in this direction.
DOI: 10.25919/m16c-0e90
title: Parkes pulsar observations with undefined project IDs for 2021OCTS_06

description: Parkes pulsar observations with undefined project IDs for 2021OCTS. This collection contains observations from project IDs .....
DOI: 10.3886/e156301v1
title: Interlocal Interactions, Municipal Boundaries, and Water and Wastewater Expenditure in City-Regions

description: The data described here were used in the analysis and findings reported in the article, Leon-Moreta, A, and Vittoria R. Totaro, "Interlocal interactions, municipal boundaries, and water and wastewater expenditure in city-regions." Urban Studies, forthcoming. A STATA (V. 13) do-file for calculating variables is also included. Please cite the corresponding article if this dataset is used to support additional findings. <br><br><br><br><br>
description: Municipalities in metropolitan areas in the United States.<br>.
DOI: 10.15468/353pgs
title: A new Agyneta Hull, 1911 from Iran (Araneae, Linyphiidae, Micronetinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Tanasevitch, Andrei, V. (2011): A new Agyneta Hull, 1911 from Iran (Araneae, Linyphiidae, Micronetinae). Revue suisse de Zoologie 118 (1): 45-48, DOI: 10.5962/bhl.part.117798
DOI: 10.5281/zenodo.5821922
title: The Influence of Data Storytelling on the Ability to Recall Information — Auxiliary materials

description: This repository contains auxiliary materials for the CHIIR 2022 paper "The Influence of Data Storytelling on the Ability to Recall Information" by Dominyk Zdanovic, Tanja Julie Lembcke and Toine Bogers (= corresponding author) Published in: <em>Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (CHIIR '22)</em>, March 14--18, 2022, Regensburg, Germany. The paper presents the results of an experimental comparison of influence data storytelling and traditional data visualizations on the ability to recall information contained in the visualizations. There are two types of auxiliary materials: Questions posed to participants in the two condition, both post-task and post-exeriment along with the correct answers. PDF versions of the six visualizations used in the experiment
DOI: 10.5281/zenodo.5821921
title: The Influence of Data Storytelling on the Ability to Recall Information — Auxiliary materials

description: This repository contains auxiliary materials for the CHIIR 2022 paper "The Influence of Data Storytelling on the Ability to Recall Information" by Dominyk Zdanovic, Tanja Julie Lembcke and Toine Bogers (= corresponding author) Published in: <em>Proceedings of the 2022 Conference on Human Information Interaction and Retrieval (CHIIR '22)</em>, March 14--18, 2022, Regensburg, Germany. The paper presents the results of an experimental comparison of influence data storytelling and traditional data visualizations on the ability to recall information contained in the visualizations. There are two types of auxiliary materials: Questions posed to participants in the two condition, both post-task and post-exeriment along with the correct answers. PDF versions of the six visualizations used in the experiment
DOI: 10.5281/zenodo.5821840
title: The Clarity Software Documentation Dataset

description: This repository holds the Clarity Dataset which is a companion to the SANER'22 entitled "An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation". The dataset consists of 45,998 captions 10,204 GUI screenshots and xml metadata files (akin to the "html" for stipulating GUIs) of Android applications. The NL captions were obtained from human labelers, underwent several quality control mechanisms, and contain both high- (screen-level) and low-(component) level descriptions of screen functionality. This dataset is meant as a new source of data to augment techniques for software documentation that can take advantage of the rich pixel-based information contained within screenshots.
DOI: 10.6073/pasta/6f7a0b5bc28e70df476848f5365379c5
title: Experimental Understory Food Web data in the El Verde area of the Luquillo Experimental Forest

description: These data include date, treatment, block number, number of coquies, number of anoles, number of insects collected on two sticky traps, number of insects counted on 4 Piper glabrescens and 4 Manilkara bidentata seedlings, percent herbivory on the aforementioned plants and number of spiders. All these measurements were taken within exclosures for closed controls, anole exclusions, coqui exclusions and total exclusions. Open controls were sampled from an area of similar dimension not enclosed in an exclosure.
DOI: 10.5281/zenodo.5822884
title: The Clarity Software Documentation Dataset

description: This repository holds the Clarity Dataset which is a companion to the SANER'22 entitled "An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation". The dataset consists of 45,998 captions 10,204 GUI screenshots and xml metadata files (akin to the "html" for stipulating GUIs) of Android applications. The NL captions were obtained from human labelers, underwent several quality control mechanisms, and contain both high- (screen-level) and low-(component) level descriptions of screen functionality. This dataset is meant as a new source of data to augment techniques for software documentation that can take advantage of the rich pixel-based information contained within screenshots.
DOI: 10.5281/zenodo.5821839
title: The Clarity Software Documentation Dataset

description: This repository holds the Clarity Dataset which is a companion to the SANER'22 entitled "An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation". The dataset consists of 45,998 captions 10,204 GUI screenshots and xml metadata files (akin to the "html" for stipulating GUIs) of Android applications. The NL captions were obtained from human labelers, underwent several quality control mechanisms, and contain both high- (screen-level) and low-(component) level descriptions of screen functionality. This dataset is meant as a new source of data to augment techniques for software documentation that can take advantage of the rich pixel-based information contained within screenshots.
DOI: 10.5519/qd.noq4hwgi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.6084/m9.figshare.17909150
title: BASE_3RA_DOSISplosone1.xlsx

description: Database in relation to the response of a third dose of BNT ( Pfizer vaccine) in Health workers , measuring Spike 1/2 IGG antibodies
DOI: 10.5281/zenodo.5820687
title: uprolls2021-o

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5820686
title: uprolls2021-o

description: This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2021
DOI: 10.5281/zenodo.5808845
title: Annotations to direct and indirect image rotation estimation methods of orthopedic X-ray images

description: The annotation file contains labels for AP wrist images of the MURA dataset on the center line of the radius bone. The annotations are stored in json format. For each annotated image file of the MURA dataset an entry is provided with the coordinates of the start and end point of the radius' center line.
description: {"references": ["Rajpurkar, P., Irvin, J., Bagul, A., Ding, D., Duan, T., Mehta, H., Yang, B., Zhu, K., Laird, D., Ball,R. L., Langlotz, C., Shpanskaya, K., Lungren, M. P., and Ng, A. Y., \"Mura: Large dataset for abnormalitydetection in musculoskeletal radiographs,\" (2018)."]}
DOI: 10.5281/zenodo.5808844
title: Annotations to direct and indirect image rotation estimation methods of orthopedic X-ray images

description: The annotation file contains labels for AP wrist images of the MURA dataset on the center line of the radius bone. The annotations are stored in json format. For each annotated image file of the MURA dataset an entry is provided with the coordinates of the start and end point of the radius' center line.
description: {"references": ["Rajpurkar, P., Irvin, J., Bagul, A., Ding, D., Duan, T., Mehta, H., Yang, B., Zhu, K., Laird, D., Ball,R. L., Langlotz, C., Shpanskaya, K., Lungren, M. P., and Ng, A. Y., \"Mura: Large dataset for abnormalitydetection in musculoskeletal radiographs,\" (2018)."]}
DOI: 10.5517/ccdc.csd.cc23zsmj
title: CCDC 1966008: Experimental Crystal Structure Determination

description: Related Article: Panpan Peng|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26kw3s
title: CCDC 2042965: Experimental Crystal Structure Determination

description: Related Article: Masoud Kazem-Rostami|2019|New J.Chem.|43|7751|doi:10.1039/C9NJ01372E
DOI: 10.5517/ccdc.csd.cc27h913
title: CCDC 2070274: Experimental Crystal Structure Determination

description: Related Article: Sai Teja Kolla, Nageswara Rao Rayala, Balasubramanian Sridhar, China Raju Bhimapaka|2021|Org.Biomol.Chem.|20|334|doi:10.1039/D1OB01727F
DOI: 10.5517/ccdc.csd.cc27h924
title: CCDC 2070275: Experimental Crystal Structure Determination

description: Related Article: Sai Teja Kolla, Nageswara Rao Rayala, Balasubramanian Sridhar, China Raju Bhimapaka|2021|Org.Biomol.Chem.|20|334|doi:10.1039/D1OB01727F
DOI: 10.5517/ccdc.csd.cc27htl5
title: CCDC 2070787: Experimental Crystal Structure Determination

description: Related Article: Wei-Qiang Liao, Yu-Ling Zeng, Yuan-Yuan Tang, Hang Peng, Jun-Chao Liu, Ren-Gen Xiong|2021|J.Am.Chem.Soc.|143|21685|doi:10.1021/jacs.1c11000
DOI: 10.5517/ccdc.csd.cc27htm6
title: CCDC 2070788: Experimental Crystal Structure Determination

description: Related Article: Wei-Qiang Liao, Yu-Ling Zeng, Yuan-Yuan Tang, Hang Peng, Jun-Chao Liu, Ren-Gen Xiong|2021|J.Am.Chem.Soc.|143|21685|doi:10.1021/jacs.1c11000