cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25378/janelia.13120280
title: Automatic segmentation of organelles in isotropic electron microscopy data of wild-type, interphase HeLa cell (jrc_hela-1)

description: The cell interior contains hundreds of different organelle and macromolecular assemblies intricately organized relative to each other to meet any cellular demand. Obtaining a complete understanding of this organization is challenging and requires nanometer-level, three-dimensional reconstruction of whole cells. Even then, the immense size of datasets and large number of structures to be characterized requires generalizable, automatic methods. To overcome this challenge, we developed an analysis pipeline for comprehensively reconstructing and analyzing all known cellular organelles from entire cells imaged by focused ion beam scanning electron microscopy (FIB-SEM) at a near-isotropic size of 4 or 8 nm per voxel. The pipeline involved deep learning architectures trained on diverse samples for automatic reconstruction of 35 different cellular organelle classes - ranging from ER to microtubules to ribosomes - from multiple cell types. Automatic reconstructions were used to directly quantify various previously inaccessible metrics about these structures and their spatial interactions. We show that automatic organelle reconstructions can also be used to automatically register light and electron microscopy images for correlative studies. The data, computer code, and trained models are all shared through an open data and open source web platform OpenOrganelle, enabling scientists everywhere to query and further reconstruct the datasets.Sample: Wild-type, interphase HeLa cell (ATCC CCL-2).Dataset ID: jrc_hela-1EM Data DOI: 10.25378/janelia.13123415EM voxel size (nm): 8.0 x 8.0 x 8.0 (X, Y, Z)Segmentation voxel size (nm): 4.0 x 4.0 x 4.0 (X, Y, Z)Dataset URL: S3//janelia-cosem-datasets/jrc_hela-1/jrc_hela-1.n5/labels/Visualization Website: https://openorganelle.janelia.org/datasets/jrc_hela-1Publication: Heinrich et al., 2020Segmented Organelles: Endo (M975k), ER (M925k), Mito (M875k), Nucleus (M575k), PM (M975k), Vesicle (M825k)Included in Dataset: predictions, segmentations
DOI: 10.25378/janelia.13120280.v1
title: Automatic segmentation of organelles in isotropic electron microscopy data of wild-type, interphase HeLa cell (jrc_hela-1)

description: The cell interior contains hundreds of different organelle and macromolecular assemblies intricately organized relative to each other to meet any cellular demand. Obtaining a complete understanding of this organization is challenging and requires nanometer-level, three-dimensional reconstruction of whole cells. Even then, the immense size of datasets and large number of structures to be characterized requires generalizable, automatic methods. To overcome this challenge, we developed an analysis pipeline for comprehensively reconstructing and analyzing all known cellular organelles from entire cells imaged by focused ion beam scanning electron microscopy (FIB-SEM) at a near-isotropic size of 4 or 8 nm per voxel. The pipeline involved deep learning architectures trained on diverse samples for automatic reconstruction of 35 different cellular organelle classes - ranging from ER to microtubules to ribosomes - from multiple cell types. Automatic reconstructions were used to directly quantify various previously inaccessible metrics about these structures and their spatial interactions. We show that automatic organelle reconstructions can also be used to automatically register light and electron microscopy images for correlative studies. The data, computer code, and trained models are all shared through an open data and open source web platform OpenOrganelle, enabling scientists everywhere to query and further reconstruct the datasets.Sample: Wild-type, interphase HeLa cell (ATCC CCL-2).Dataset ID: jrc_hela-1EM Data DOI: 10.25378/janelia.13123415EM voxel size (nm): 8.0 x 8.0 x 8.0 (X, Y, Z)Segmentation voxel size (nm): 4.0 x 4.0 x 4.0 (X, Y, Z)Dataset URL: S3//janelia-cosem-datasets/jrc_hela-1/jrc_hela-1.n5/labels/Visualization Website: https://openorganelle.janelia.org/datasets/jrc_hela-1Publication: Heinrich et al., 2020Segmented Organelles: Endo (M975k), ER (M925k), Mito (M875k), Nucleus (M575k), PM (M975k), Vesicle (M825k)Included in Dataset: predictions, segmentations
DOI: 10.15468/dl.e3q8ec
title: Occurrence Download

description: A dataset containing 126696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Ovis aries Linnaeus, 1758"
 ]
}

 The dataset includes 126696 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012923-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15258816
title: SGVI-2023: The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning

description: Multi-temporal mapping of the Green View Index (GVI) is crucial for understanding how urban residents perceive seasonal changes in streetscape greenness. Compared to street view imagery (SVI), remote sensing data offers higher temporal frequency and broader spatial coverage, enabling large-scale dynamic monitoring. However, most existing GVI estimation methods rely heavily on SVI, limiting their ability to support cross-city and seasonal analysis. To address this gap, we present the Seasonal Green View Index 2023 (SGVI-2023), a GVI mapping dataset derived from multisource remote sensing data and deep learning. Covering 19 major Chinese cities, SGVI-2023 was developed using approximately 1.1 million paired samples of satellite and SVI data collected from 2019 to 2023. All data underwent strict preprocessing and partitioning. Evaluation results show strong accuracy, with Pearson correlations of 0.875 at the point scale and 0.928 at the street scale. As the first cross-city, seasonally resolved GVI dataset based on remote sensing, SGVI-2023 provides valuable support for human-centered urban greenness monitoring and data-driven urban planning.
DOI: 10.5281/zenodo.15258817
title: SGVI-2023: The First Seasonal Green View Index Mapping Dataset across Chinese cities powered by deep learning

description: Multi-temporal mapping of the Green View Index (GVI) is crucial for understanding how urban residents perceive seasonal changes in streetscape greenness. Compared to street view imagery (SVI), remote sensing data offers higher temporal frequency and broader spatial coverage, enabling large-scale dynamic monitoring. However, most existing GVI estimation methods rely heavily on SVI, limiting their ability to support cross-city and seasonal analysis. To address this gap, we present the Seasonal Green View Index 2023 (SGVI-2023), a GVI mapping dataset derived from multisource remote sensing data and deep learning. Covering 19 major Chinese cities, SGVI-2023 was developed using approximately 1.1 million paired samples of satellite and SVI data collected from 2019 to 2023. All data underwent strict preprocessing and partitioning. Evaluation results show strong accuracy, with Pearson correlations of 0.875 at the point scale and 0.928 at the street scale. As the first cross-city, seasonally resolved GVI dataset based on remote sensing, SGVI-2023 provides valuable support for human-centered urban greenness monitoring and data-driven urban planning.
DOI: 10.5281/zenodo.10032989
title: Hanslick-Online/hsl-data-ct: Pre-Release v0.4.0

description: Der neue Release beinhaltet die Edition von 39 Kritiken (die Jahre 1897 und 1898).

Full Changelog: https://github.com/Hanslick-Online/hsl-data-ct/compare/v.0.3.0...v.0.4.0
DOI: 10.5281/zenodo.10033004
title: Hanslick-Online/hsl-data-ct: Pre-Release v0.4.1

description: Der neue Release beinhaltet die Edition von 39 Kritiken (die Jahre 1897 und 1898).
DOI: 10.5281/zenodo.10362003
title: Hanslick-Online/hsl-data-ct: Pre-Release v0.5.0

description: Der neue Release beinhaltet die Edition von 89 Kritiken (die Jahre 1866, 1898, 1897 und 1898). Zudem wurden die Werkdaten um Hyperlinks zu GND-Einträgen ergänzt.

Full Changelog: https://github.com/Hanslick-Online/hsl-data-ct/compare/v.0.4.0...v0.5.0
DOI: 10.5281/zenodo.10628540
title: Hanslick-Online/hsl-data-ct: Pre-Release v0.6.0

description: Der neue Release beinhaltet die Edition von 41 Kritiken (die Jahre 1894 und 1895). Zudem wurden die Personendaten, soweit möglich, um Lebensdaten und eine knappe Beschreibung ergänzt.

Full Changelog: https://github.com/Hanslick-Online/hsl-data-ct/compare/v0.5.0...v0.6.0
DOI: 10.5281/zenodo.13380086
title: Hanslick-Online/hsl-data-ct: Pre-Release v0.0.8

description: Adding 50 additional transcripts of the years 1867 and 1891. Updating information on works (inclusion of hyperlinks to digital copies and spelling out the relation between work parts and works) and persons (the description of occupations has been aligned with encyclopedias and data bases such as ÖML, ÖBL, MGG, Grove, Sophie Drinker Institut, Deutsche Biographie, Wien Geschichte Wiki, and others.)

Full Changelog: https://github.com/Hanslick-Online/hsl-data-ct/compare/v0.7.0...v0.8.0
DOI: 10.5281/zenodo.8033447
title: Hanslick-Online/hsl-data-ct: Hanslicks Schriften für die "Neue Freie Presse" v0.1.0

description: Release Notes v0.1.0 Nach dem ersten Release im April 2023 startet nun die Edition von Hanslicks Schriften für die "Neue Freie Presse", deren Digitalisate von ANNO (Austrian Newspaper Online) bezogen werden. In einem ersten Schritt schalten wir die Edition von 31 Texten aus den Jahren 1864, 1865, 1903 und 1904 frei. Aus pragmatischen Beweggründen gehen die Mitarbeiter*innen dieser Edition in chronologisch aufsteigender (1864 als Gründungsjahr der "Neue Freie Presse") und absteigender Reihenfolge (1904 als Hanslicks Todesjahr) vor. Die Artikel werden mit Hilfe von Transkribus übertragen, korrigiert und teilweise annotiert. Die Formatierung und editorische Feinarbeit erfolgt mittels des XML-Editors Oxygen, während Entitäten über eine Baserow-Datenbank integriert und vernetzt werden. Die Richtlinien der Kritiken-Edition stimmen bis auf 3 Punkte mit jenen des Traktats überein: (1) Fußnoten werden gemäß dem Original mit einem Asterisk * kenntlich gemacht, da sie nur selten und im Rahmen relativ kurzer Aufsätze vorkommen. (2) Mehrdeutige Werkangaben, deren Identifikation Stand jetzt nicht möglich ist, werden mittels mehrerer Links angezeigt, die auf die fraglichen Optionen verweisen. (3) Erwähnte Entitäten werden von Fall zu Fall mit mehreren Namen vermerkt: (a) dem Haupttitel (bei Namen laut GND und bei Figuren, Werken und Orten gemäß der Schreibweise nach Landessprache, sofern diese mit lateinischen Buchstaben darzustellen ist); und (b) dem Alternativtitel, d.h. der von Hanslick gewählten Schreibweise(n) und Bezeichnung(en). <strong>Full Changelog</strong>: https://github.com/Hanslick-Online/hsl-data-ct/commits/v0.1.0
DOI: 10.5281/zenodo.8272601
title: Hanslick-Online/hsl-data-ct: Pre-Release v0.2.0

description: Der neue Release bringt im Wesentlichen 4 Neuerungen: (1) Die Edition von 37 Kritiken (April bis September 1865 und die Jahre 1901 und 1902); (2) die Integration verbesserter Faksimiles für die Auflagen 1-5 und 9-10 von Hanslicks Ästhetik-Traktat "Vom Musikalisch-Schönen"; (3) die lektorierte Textfassung der englischen Begleittexte und (4) ein Update der Unterseiten "Aktivitäten" und "Teams". <strong>Full Changelog</strong>: https://github.com/Hanslick-Online/hsl-data-ct/compare/v0.1.0...v0.2.0
DOI: 10.5281/zenodo.8366170
title: Hanslick-Online/hsl-data-ct: Pre-Release v0.3.0

description: Der neue Release beinhaltet die Edition von 37 Kritiken (Oktober bis Dezember 1865 und die Jahre 1899 und 1900). Zudem wurden die Werkdaten umfassend angereichert, wenn möglich Werkverzeichnisnummern durchgängig nachgetragen und Autor<em>innen (v.a. Librettist</em>innen und Textdichter*innen) auch dann angeführt, wenn Hanslick diese nicht ausdrücklich erwähnt. <strong>Full Changelog</strong>: https://github.com/Hanslick-Online/hsl-data-ct/compare/v0.2.0...v.0.3.0
DOI: 10.15468/dl.yvj4xm
title: Occurrence Download

description: A dataset containing 935 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cissus aristata"
 ]
}

 The dataset includes 935 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002276-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18314511
title: Acoustic activity dataset of three sympatric Pipistrellus species in a Mediterranean coastal forest (Castel Porziano, Italy)

description: This dataset contains activity data of three sympatric Pipistrellus species (P. pipistrellus, P. pygmaeus, and P. kuhlii) collected in the Mediterranean coastal forest of Castel Porziano, central Italy. The aim of the study was to investigate nocturnal activity patterns, temporal species co-occurrence, and the influence of environmental and lunar variables on foraging behaviour.

Data were collected using ultrasonic bat detectors (Wildlife Acoustics) deployed at fixed sampling points during nocturnal surveys. No animals were captured or handled, ensuring fully non-invasive data collection.

The dataset includes the following variables:



SiteID: sampling site identifier

DATE and HOUR: date and time of recording

datetime: combined date-time

Lat, Long: geographic coordinates of the sampling site

Forest_class: forest type category

Environmental and lunar variables: mean_temp, illumination_pct, moon_age_days, moon_phase_angle, moon_altitude_deg, moon_azimuth_deg, moon_visible, moon_brightness, moon_fraction, moon_phase_frac, moon_angle_rad

Species activity counts: PIPPIP (P. pipistrellus), PIPPYG (P. pygmaeus), PIPKUH_NAT (P. kuhlii / P. nathusii)
DOI: 10.5281/zenodo.18314512
title: Acoustic activity dataset of three sympatric Pipistrellus species in a Mediterranean coastal forest (Castel Porziano, Italy)

description: This dataset contains activity data of three sympatric Pipistrellus species (P. pipistrellus, P. pygmaeus, and P. kuhlii) collected in the Mediterranean coastal forest of Castel Porziano, central Italy. The aim of the study was to investigate nocturnal activity patterns, temporal species co-occurrence, and the influence of environmental and lunar variables on foraging behaviour.

Data were collected using ultrasonic bat detectors (Wildlife Acoustics) deployed at fixed sampling points during nocturnal surveys. No animals were captured or handled, ensuring fully non-invasive data collection.

The dataset includes the following variables:



SiteID: sampling site identifier

DATE and HOUR: date and time of recording

datetime: combined date-time

Lat, Long: geographic coordinates of the sampling site

Forest_class: forest type category

Environmental and lunar variables: mean_temp, illumination_pct, moon_age_days, moon_phase_angle, moon_altitude_deg, moon_azimuth_deg, moon_visible, moon_brightness, moon_fraction, moon_phase_frac, moon_angle_rad

Species activity counts: PIPPIP (P. pipistrellus), PIPPYG (P. pygmaeus), PIPKUH_NAT (P. kuhlii / P. nathusii)
DOI: 10.5517/ccdc.csd.cc2p00tk
title: CCDC 2472678: Experimental Crystal Structure Determination

description: Related Article: Zhi-Cui Zhang, Ya-Meng Zhu, Zhong-Yan Yan, Ai-Quan Jia, Qian-Feng Zhang|2025|Zh.Neorg.Khim.|||doi:10.1134/S0036023625602661
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.cc2p00vl
title: CCDC 2472679: Experimental Crystal Structure Determination

description: Related Article: Zhi-Cui Zhang, Ya-Meng Zhu, Zhong-Yan Yan, Ai-Quan Jia, Qian-Feng Zhang|2025|Zh.Neorg.Khim.|||doi:10.1134/S0036023625602661
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.cc2p00wm
title: CCDC 2472680: Experimental Crystal Structure Determination

description: Related Article: Zhi-Cui Zhang, Ya-Meng Zhu, Zhong-Yan Yan, Ai-Quan Jia, Qian-Feng Zhang|2025|Zh.Neorg.Khim.|||doi:10.1134/S0036023625602661
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.cc2p00xn
title: CCDC 2472681: Experimental Crystal Structure Determination

description: Related Article: Zhi-Cui Zhang, Ya-Meng Zhu, Zhong-Yan Yan, Ai-Quan Jia, Qian-Feng Zhang|2025|Zh.Neorg.Khim.|||doi:10.1134/S0036023625602661
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.cc2p8qsh
title: CCDC 2481047: Experimental Crystal Structure Determination

description: Related Article: Dongmei Chen, Ting Tu, Tianhui Liao, Donghan Liu, Shi-Chao Ren, Yonggui Robin Chi|2025|ACS Catalysis|15|21066|doi:10.1021/acscatal.5c06638
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.cc2ngn71
title: CCDC 2456943: Experimental Crystal Structure Determination

description: Related Article: E.Sh. Samandarov,  Hela Ferjani,  Yasmeen G. Abou El-Reash,  Tarek A. Yousef,  L. Guganathan,  Sabokhat Sadikova,  Y.Y. Yakubov,  P.K. Kodamboev,  Lutfulla Bozorov,  A.B. Ibragimov,  C. Balakrishnan
|2026|J.Mol.Struct.|1351|144260|doi:10.1016/j.molstruc.2025.144260
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.cc2pn8f2
title: CCDC 2492134: Experimental Crystal Structure Determination

description: Related Article: Shu-Yue Xie, Ming-Hui Liu, Ning Wang, Xi-Meng Zhang, Shen-Hao Wang, Yan Yang, Jun Li, Bo Zhang|2025|CrystEngComm|28|247|doi:10.1039/d5ce00975h
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.cc2pn8g3
title: CCDC 2492135: Experimental Crystal Structure Determination

description: Related Article: Shu-Yue Xie, Ming-Hui Liu, Ning Wang, Xi-Meng Zhang, Shen-Hao Wang, Yan Yang, Jun Li, Bo Zhang|2025|CrystEngComm|28|247|doi:10.1039/d5ce00975h
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.cc2q0sm5
title: CCDC 2503207: Experimental Crystal Structure Determination

description: Related Article: Haoran Wang, Chenxu Li, Xue Bai, Qingyu Liu, Xueling Hou, Min Zhang|2025|Inorg.Chem.Front.|||doi:10.1039/d5qi02384j
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.cc2q0sn6
title: CCDC 2503208: Experimental Crystal Structure Determination

description: Related Article: Haoran Wang, Chenxu Li, Xue Bai, Qingyu Liu, Xueling Hou, Min Zhang|2025|Inorg.Chem.Front.|||doi:10.1039/d5qi02384j
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.cc2p1pgx
title: CCDC 2474279: Experimental Crystal Structure Determination

description: Related Article: Zeyu Xu, Xiu'e Jiang, Ruihui Wang, Mingren Fan, Yi Wang, Qinghua Zhang|2025|Dalton Trans.|55|1436|doi:10.1039/d5dt02640g
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.cc2p1phy
title: CCDC 2474280: Experimental Crystal Structure Determination

description: Related Article: Zeyu Xu, Xiu'e Jiang, Ruihui Wang, Mingren Fan, Yi Wang, Qinghua Zhang|2025|Dalton Trans.|55|1436|doi:10.1039/d5dt02640g
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.cc2mx1j4
title: CCDC 2440026: Experimental Crystal Structure Determination

description: Related Article: Dhrubajyoti Majumdar, Antonio Frontera, Jessica Elizabeth Philip, Bouzid Gassoumi, Sergi Burguera, Sourav Roy, Sahbi Ayachi|2026|RSC Advances|16|332|doi:10.1039/d5ra09546h
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.cc2q0sl4
title: CCDC 2503206: Experimental Crystal Structure Determination

description: Related Article: Haoran Wang, Chenxu Li, Xue Bai, Qingyu Liu, Xueling Hou, Min Zhang|2025|Inorg.Chem.Front.|||doi:10.1039/d5qi02384j
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.