cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7612628
title: PAN23 Trigger Detection

description: This is the dataset for the shared task on Trigger Detection at PAN@CLEF2023. Please consult the task's page for further details on the format, the dataset's creation, and links to baselines and utility code.


Task: In trigger detection, we want to assign trigger warning labels to documents that contain potentially discomforting or distressing (triggering) content. We model trigger detection as a multi-label document classification challenge: assign each document all appropriate trigger warnings, but not more. All warnings are chosen from the author's perspective, i.e. the work's author decided which kind of trigger the document contains.


Dataset: This dataset contains annotated works of fanfiction, extracted from archiveofourown.org (AO3). Each work is between 50 and 6,000 words long and has between 1 and many trigger warnings assigned. Our training dataset contains 307,102 examples, with 17,104 in validation and 17,040 in the test split. The label set contains 32 different trigger warnings. All labels are based on the freeform content warnings added to a fanwork by its author.


 


Versioning: 



	
1.0: initial upload
	
1.1 fixed a minor bug where some works in the labels.jsonl contained labels that are not used in the competition (heteronormativity and religious-discrimination). Those labels have been removed.
DOI: 10.5281/zenodo.7600049
title: PAN23 Trigger Detection

description: This is the dataset for the shared task on Trigger Detection at PAN@CLEF2023. Please consult the task's page for further details on the format, the dataset's creation, and links to baselines and utility code.


You can find a more refined version of this work here: github.com/webis-de/ACL-23.


Task: In trigger detection, we want to assign trigger warning labels to documents that contain potentially discomforting or distressing (triggering) content. We model trigger detection as a multi-label document classification challenge: assign each document all appropriate trigger warnings, but not more. All warnings are chosen from the author's perspective, i.e. the work's author decided which kind of trigger the document contains.


Dataset: This dataset contains annotated works of fanfiction, extracted from archiveofourown.org (AO3). Each work is between 50 and 6,000 words long and has between 1 and many trigger warnings assigned. Our training dataset contains 307,102 examples, with 17,104 in validation and 17,040 in the test split. The label set contains 32 different trigger warnings. All labels are based on the freeform content warnings added to a fanwork by its author.


Versioning: 



	
1.0: initial upload
	
1.1 fixed a minor bug where some works in the labels.jsonl contained labels that are not used in the competition (heteronormativity and religious-discrimination). Those labels have been removed.  
	
1.2 added labels.jsonl for the test dataset.
DOI: 10.5281/zenodo.8383863
title: PAN23 Trigger Detection

description: This is the dataset for the shared task on Trigger Detection at PAN@CLEF2023. Please consult the task's page for further details on the format, the dataset's creation, and links to baselines and utility code.


You can find a more refined version of this work here: github.com/webis-de/ACL-23.


Task: In trigger detection, we want to assign trigger warning labels to documents that contain potentially discomforting or distressing (triggering) content. We model trigger detection as a multi-label document classification challenge: assign each document all appropriate trigger warnings, but not more. All warnings are chosen from the author's perspective, i.e. the work's author decided which kind of trigger the document contains.


Dataset: This dataset contains annotated works of fanfiction, extracted from archiveofourown.org (AO3). Each work is between 50 and 6,000 words long and has between 1 and many trigger warnings assigned. Our training dataset contains 307,102 examples, with 17,104 in validation and 17,040 in the test split. The label set contains 32 different trigger warnings. All labels are based on the freeform content warnings added to a fanwork by its author.


Versioning: 



	
1.0: initial upload
	
1.1 fixed a minor bug where some works in the labels.jsonl contained labels that are not used in the competition (heteronormativity and religious-discrimination). Those labels have been removed.  
	
1.2 added labels.jsonl for the test dataset.
DOI: 10.5517/ccdc.csd.cc2gg6jp
title: CCDC 2277772: Experimental Crystal Structure Determination

description: Related Article: Han-Wen Rao, Tian-Lan Zhao, Long Wang, Hong-Dan Deng, Yan-Ping Zhang, Yong You, Zhen-Hua Wang, Jian-Qiang Zhao, Wei-Cheng Yuan|2023|Org.Biomol.Chem.|21|8593|doi:10.1039/D3OB01404E
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.cc2ggkvc
title: CCDC 2278123: Experimental Crystal Structure Determination

description: Related Article: ren shiwei|2023|CSD Communication|||
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.cc2ggkwd
title: CCDC 2278124: Experimental Crystal Structure Determination

description: Related Article: Shiwei Ren|2023|CSD Communication|||
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.cc2gh3dh
title: CCDC 2278636: Experimental Crystal Structure Determination

description: Related Article: Kyohei Nakano, Iat Wai Leong, Daisuke Hashizume, Kirill Bulgarevich, Kazuo Takimiya, Yusuke Nishiyama, Toshio Yamazaki, Keisuke Tajima|2023|Chemical Science|14|12205|doi:10.1039/D3SC04125E
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.cc2gmbct
title: CCDC 2282696: Experimental Crystal Structure Determination

description: Related Article: Xiangbing Qi|2023|CSD Communication|||
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.cc2gmwnn
title: CCDC 2283232: Experimental Crystal Structure Determination

description: Related Article: Marc Schneeberger, Nicola L. Brice, Kyle Pellegrino, Luca Parolari, Jordan T. Shaked, Keith J. Page, François Marchildon, Douglas W. Barrows, Thomas S. Carroll, Thomas Topilko, Victoria M. Mulligan, Robert Newman, Kevin Doyle, Roland Bürli, Daniel F. Barker, Angela Glen, María José Ortuño, Alexander R. Nectow, Nicolas Renier, Paul Cohen, Mark Carlton, Nathaniel Heintz and Jeffrey M. Friedman|2023|CSD Communication|||
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.cc2gmtb8
title: CCDC 2283160: Experimental Crystal Structure Determination

description: Related Article: Fengrong Zhang|2023|CSD Communication|||
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: 10.26093/cds/vizier.36560137
title: 144MHz radio fluxes of z&gt;5 quasars

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Low frequency radio properties of the z &gt; 5 quasar population.' (bibcode: 2021A&A...656A.137G)
DOI: 10.26093/cds/vizier.36630126
title: GALILEO. I. New N rich stars

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Galactic ArchaeoLogIcaL ExcavatiOns (GALILEO). I. An updated census of APOGEE N-rich giants across the Milky Way.' (bibcode: 2022A&A...663A.126F)
DOI: 10.26093/cds/vizier.36650030
title: Flares and rotation of M dwarfs

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Flares and rotation of M dwarfs with habitable zones accessible to TESS planet detections.' (bibcode: 2022A&A...665A..30S)
DOI: 10.5281/zenodo.10091108
title: Acyrthosiphon pisum adult 72 hours post moulting

description: X-ray tomography dataset of Acyrthosiphon pisum adult 72 hours post moulting
DOI: 10.5281/zenodo.10091109
title: Acyrthosiphon pisum adult 72 hours post moulting

description: X-ray tomography dataset of Acyrthosiphon pisum adult 72 hours post moulting
DOI: 10.5281/zenodo.10090598
title: Acyrthosiphon pisum N4 nymph 2 hours post moulting

description: X-ray tomography dataset of Acyrthosiphon pisum N4 nymph 2 hours post moulting
DOI: 10.5281/zenodo.10090599
title: Acyrthosiphon pisum N4 nymph 2 hours post moulting

description: X-ray tomography dataset of Acyrthosiphon pisum N4 nymph 2 hours post moulting
DOI: 10.5281/zenodo.10083485
title: Acyrthosiphon pisum N4 nymph 46 hours post moulting

description: X-ray tomography dataset of Acyrthosiphon pisum N4 nymph 46 hours post moulting
DOI: 10.5281/zenodo.10083486
title: Acyrthosiphon pisum N4 nymph 46 hours post moulting

description: X-ray tomography dataset of Acyrthosiphon pisum N4 nymph 46 hours post moulting
DOI: 10.34992/mq60-c722
title: NEMO-ANHA4 Sea ice locking of icebergs
DOI: 10.5066/p938egyd
title: Snag Fall Data from Long Term Forest Dynamics Plots in the Sierra Nevada of California through 2021

description: These snag (dead tree) fall data were collected as part of long term forest dynamics data. Tree fall data were collected non-systematically as text comments until 2013, after which explicit snag fall data were collected on an annual basis. This particular dataset includes data from 23 plots in old-growth mixed conifer and montane conifer forests in Sequoia-Kings Canyon and Yosemite National Parks. The plots range in size from 0.9 ha to 2.5 ha and were established from 1982 to 2001. We used demography plot data through 2021 (collected before the extensive KNP Complex wildfire burned many of the plots). Before 2021, four of the 23 plots had experienced relatively recent prescribed burns or wildfires. When established, all live trees taller than 1.37 m in height in the plots were mapped, tagged, identified to species, and measured for diameter. Crews survey plots annually to document tree mortality, to note the status of snags, and to tag and measure new (ingrowth) trees. Prior to 2013, crews did not explicitly document when snags fell. However, they noted when snags were not found or were found fallen onto the ground. In 2013, researchers combed through the annual plot notes to document the year snags fell. Beginning in 2013, field crews explicitly recorded the year when snags fell. Snags were considered fallen if their main stem, or bole, broke at a height less than or equal to 1.37 m off the ground or if they were leaning at more than a 45-degree angle. This dataset is limited to snags greater than 12.7 cm in diameter.
DOI: 10.5281/zenodo.10094988
title: Lu-H-N susceptibility data file
DOI: 10.5281/zenodo.10094989
title: Lu-H-N susceptibility data file
DOI: 10.25573/serc.24294928
title: Dataset: Study of total economic valuation of the main services provided by mangroves in the Gulf of Chiriquí, Panama

description: This field inventory data was collected by CATIE (Centro Agronómico Tropical de Investigación y Enseñanza) with funding provided by MarViva Foundation. In order to determine the economic value of the ecosystem service of climate change mitigation of the mangroves in the Gulf of Chiriquí, Panama, it was necessary to carry out field inventories that provide first-hand information about the amount of carbon stored in these forests. Fieldwork was carried out in the winter of 2014 across 12 mangrove sites with varying land use and anthropogenic impacts. Each site contained plots, where vegetation was surveyed and soils were sampled to provide estimates of total ecosystem carbon stock.
DOI: 10.25573/serc.24294928.v1
title: Dataset: Study of total economic valuation of the main services provided by mangroves in the Gulf of Chiriquí, Panama

description: This field inventory data was collected by CATIE (Centro Agronómico Tropical de Investigación y Enseñanza) with funding provided by MarViva Foundation. In order to determine the economic value of the ecosystem service of climate change mitigation of the mangroves in the Gulf of Chiriquí, Panama, it was necessary to carry out field inventories that provide first-hand information about the amount of carbon stored in these forests. Fieldwork was carried out in the winter of 2014 across 12 mangrove sites with varying land use and anthropogenic impacts. Each site contained plots, where vegetation was surveyed and soils were sampled to provide estimates of total ecosystem carbon stock.
DOI: 10.6084/m9.figshare.24454144
title: Raw data - trapezius stiffness 2.xlsx

description: This study investigated the relationship between the stiffness of the upper trapezius muscle and the range of rotational movement of the cervical spine. A total of 60 right-handed asymptomatic students participated in the study.
DOI: 10.6084/m9.figshare.24454144.v1
title: Raw data - trapezius stiffness 2.xlsx

description: This study investigated the relationship between the stiffness of the upper trapezius muscle and the range of rotational movement of the cervical spine. A total of 60 right-handed asymptomatic students participated in the study.
DOI: 10.6084/m9.figshare.24454141
title: Raw data - trapezius stiffness.xlsx

description: This study investigated the relationship between the stiffness of the upper trapezius muscle and the range of rotational movement of the cervical spine. A total of 60 right-handed asymptomatic students participated in the study. Participants (N = 22) characterised by asymmetry in rotational movements were selected for the experimental group. A difference of ≥10° between right and left rotation of the cervical spine was considered asymmetrical. The control group (N = 38) included participants whose rotation difference was &lt; 10°.
DOI: 10.5281/zenodo.10092780
title: adata h5ad
DOI: 10.5281/zenodo.10092781
title: adata h5ad
DOI: 10.5281/zenodo.10095330
title: adata h5ad
DOI: 10.5517/ccdc.csd.cc2gtb6v
title: CCDC 2288457: Experimental Crystal Structure Determination

description: Related Article: Hai-Ning Zhang, Guo-Xin Jin|2023|Angew.Chem.,Int.Ed.|62|e202313605|doi:10.1002/anie.202313605
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.cc2gmrql
title: CCDC 2283110: Experimental Crystal Structure Determination

description: Related Article: Linkuo Li|2023|CSD Communication|||
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: 10.34740/kaggle/dsv/6933451
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.34740/kaggle/dsv/6933470
title: Daily Trending Youtube Videos (113 Countries)
DOI: 10.34740/kaggle/dsv/6933472
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.3886/e195046
title: Measuring the Interdisciplinarity and Collaboration Perceptions of U.S. Scientists, Engineers, and Educators

description: These files contain the anonymized data used to create the results found in "Measuring the Interdisciplinarity and Collaboration Perceptions of U.S. Scientists, Engineers, and Educators." <br><br>Abstract:<br>Interdisciplinarity has the potential to lead to more innovation and advances in knowledge than are possible from a single discipline. Yet, little is known about interdisciplinary collaborations and the perceptions of those involved. This quantitative study investigated the perceptions of U.S. faculty, staff, postdocs, and graduate students involved in Education and Science/Engineering collaborations. Exploratory Factor Analysis was conducted for two modified scales, Collaboration Perceptions (CP; n = 117; 17 items; 𝛼 = .923) and Interdisciplinarity Perceptions (IP; n = 119; 11 items; 𝛼 = .852). Participants’ perceptions of collaboration and interdisciplinarity were strongly positive and did not significantly differ based on demographic factors (e.g., gender, discipline, role). Perceptions were influenced by Collectivist orientation; the High Collectivism group had significantly more positive perceptions of collaboration and interdisciplinarity, and Collectivist orientation was positively and significantly correlated with CP and IP scores. Implications and recommendations for interdisciplinary collaborations will be discussed.
DOI: 10.3886/e195046v1
title: Measuring the Interdisciplinarity and Collaboration Perceptions of U.S. Scientists, Engineers, and Educators

description: These files contain the anonymized data used to create the results found in "Measuring the Interdisciplinarity and Collaboration Perceptions of U.S. Scientists, Engineers, and Educators." <br><br>Abstract:<br>Interdisciplinarity has the potential to lead to more innovation and advances in knowledge than are possible from a single discipline. Yet, little is known about interdisciplinary collaborations and the perceptions of those involved. This quantitative study investigated the perceptions of U.S. faculty, staff, postdocs, and graduate students involved in Education and Science/Engineering collaborations. Exploratory Factor Analysis was conducted for two modified scales, Collaboration Perceptions (CP; n = 117; 17 items; 𝛼 = .923) and Interdisciplinarity Perceptions (IP; n = 119; 11 items; 𝛼 = .852). Participants’ perceptions of collaboration and interdisciplinarity were strongly positive and did not significantly differ based on demographic factors (e.g., gender, discipline, role). Perceptions were influenced by Collectivist orientation; the High Collectivism group had significantly more positive perceptions of collaboration and interdisciplinarity, and Collectivist orientation was positively and significantly correlated with CP and IP scores. Implications and recommendations for interdisciplinary collaborations will be discussed.
DOI: 10.5281/zenodo.8435126
title: Supplementary files for Vertical Displacements and Sea-Level Changes in Eastern North America Driven by Glacial Isostatic Adjustment: an Ensemble Modeling Approach

description: Model input and output files associated with the manuscript entitled "Vertical Displacements and Sea-Level Changes in Eastern North America Driven by Glacial Isostatic Adjustment: an Ensemble Modeling Approach" that will be submitted to Journal of Geophysical Research.
description: This material is based upon work supported by the U.S. Geological Survey under Grant/Cooperative Agreement No. G21AC10016. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey. This work is also supported by the National Science Foundation under grant number 1735139. SELEN is hosted by the Computational Infrastructure for Geodynamics (CIG) which is supported by the National Science Foundation awards NSF-0949446, NSF-1550901, and NSF-2149126.
DOI: 10.34740/kaggle/dsv/6933510
title: Daily Public Opinion on Israel-Palestine War
DOI: 10.6084/m9.figshare.24534937
title: Code and data for random forests model in mapping function parameter calculation

description: The tropospheric mapping function (MF) plays an important role in estimating the delay of electromagnetic waves when they traveling through the troposphere, especially for the space observing technologies such as GNSS and VLBI, where electromagnetic waves serve as the main measuring means. At present, the non-meteorological parameter empirical models are widely used to calculate MF parameters, convenient yet less accurate for areas suffering from drastic climate changes, which may lead to even meter-level errors for slant path delays and further diffuse errors to other data products. Although, there are authoritative institutions that regularly release meteorological parameters which are essential to MF calculation or ready-made MF products, they usually hold a delay of several days or require special authorization. In view of this, we proposed a method based on the random forest (RF) model to obtain MF key parameters rapidly based on surface observations. Experiments have shown that compared with traditional models, the RF method could significantly raise the accuracy of MF parameters, with an improvement of over 60% for the hydrostatic component and over 20% for the wet part. Seasonal system deviations were almost eliminated. In the end, a set of RF models were trained by setting different sample spaces, and the performances were counted under different combinations of feature dimensions and time spans, which turned out that an optimal compromise may exist when difficulty in sample data obtaining, training time, model size, computational efficiency, accuracy, etc. were taken into consideration.