cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25673/85917
title: GMH Ce I-5822-1926, Paralectotypus: Eoconstrictor spinifer, An isolated complete cervical vertebra and an isolated Incomplete trunk vertebra (missing large part of the ventral surface of centrum)

description: Inventarnummer: GMH Ce I-5822-1926 Paralectotypus, Taxon: Eoconstrictor spinifer Objekt: An isolated complete cervical vertebra and an isolated Incomplete trunk vertebra (missing large part of the ventral surface of centrum), Zitat: Barnes 1926, Jb. d. Hal. Verbandes, N. F. Bd. VI, Taf. I, Fig.5, 5 a, 6, 6 a; Georgalis, G.L., M. Rabi and K.T. Smith. 2021. Taxonomic revision of the snakes of the genera Palaeopython and Paleryx (Serpentes, Constrictores) from the Paleogene of Europe. Swiss Journal of Palaeontology 140:18 (140 pp.).
DOI: 10.25673/85918
title: GMH Ce I-5823-1926, Lectotypus: Eoconstrictor spinifer, Incomplete parietal and fragment of left frontal

description: Inventarnummer: GMH Ce I-5823-1926 Lectotypus, Taxon: Eoconstrictor spinifer Objekt: Incomplete parietal and fragment of left frontal, Zitat: Barnes 1926, Jb. d. Hal. Verbandes, N. F. Bd. VI, Taf. I, Fig. 5 b; Georgalis, G.L., M. Rabi and K.T. Smith. 2021. Taxonomic revision of the snakes of the genera Palaeopython and Paleryx (Serpentes, Constrictores) from the Paleogene of Europe. Swiss Journal of Palaeontology 140:18 (140 pp.).
DOI: 10.25673/85919
title: GMH Ce I-5824-1926, Lectotypus: Eoconstrictor spinifer, Fragmentary left pterygoid, broken into two pieces

description: Inventarnummer: GMH Ce I-5824-1926 Lectotypus, Taxon: Eoconstrictor spinifer Objekt: Fragmentary left pterygoid, broken into two pieces , Zitat: Barnes 1926, Jb. d. Hal. Verbandes, N. F. Bd. VI, Taf. I, Fig.4; Georgalis, G.L., M. Rabi and K.T. Smith. 2021. Taxonomic revision of the snakes of the genera Palaeopython and Paleryx (Serpentes, Constrictores) from the Paleogene of Europe. Swiss Journal of Palaeontology 140:18 (140 pp.).
DOI: 10.25673/85920
title: GMH Ce I-5826-1926, Lectotypus: Eoconstrictor spinifer, Left maxillary

description: Inventarnummer: GMH Ce I-5826-1926 Lectotypus, Taxon: Eoconstrictor spinifer Objekt: Left maxillary , Zitat: Barnes 1926, Jb. d. Hal. Verbandes, N. F. Bd. VI, Taf. I, Fig. 2 u. 3; Georgalis, G.L., M. Rabi and K.T. Smith. 2021. Taxonomic revision of the snakes of the genera Palaeopython and Paleryx (Serpentes, Constrictores) from the Paleogene of Europe. Swiss Journal of Palaeontology 140:18 (140 pp.).
DOI: 10.25345/c54b2xg2c
title: MassIVE MSV000093321 - GNPS_Matlou Akanthomyces muscarius P02PL3
title: Untargeted metabolomics of Akanthomyces muscarius P02PL3, Matlou Semenya MSc
DOI: 10.5519/qd.f7d2rbxd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.7924/r47m0gq90
title: Data and scripts from: Dimensional study of the dynamical arrest in a random Lorentz gas

description: The random Lorentz gas is a minimal model for transport in heterogeneous media. Upon increasing the obstacle density, it exhibits a growing subdiffusive transport regime and then a dynamical arrest. Here, we study the dimensional dependence of the dynamical arrest, which can be mapped onto the void percolation transition for Poisson-distributed point obstacles. We numerically determine the arrest in dimensions d=2-6. Comparing the results with standard mode-coupling theory reveals that the dynamical theory prediction grows increasingly worse with d. In an effort to clarify the origin of this discrepancy, we relate the dynamical arrest in the RLG to the dynamic glass transition of the infinite-range Mari-Kurchan model glass former. Through a mixed static and dynamical analysis, we then extract an improved dimensional scaling form as well as a geometrical upper bound for the arrest. The results suggest that understanding the asymptotic behavior of the random Lorentz gas may be key to surmounting fundamental difficulties with the mode-coupling theory of glasses.
DOI: 10.5519/qd.32p9i6wx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (13 records)
DOI: 10.25390/caryinstitute.11801052.v60
title: Cary Institute Environmental Monitoring Program Current Year Data 2023

description: The Cary Institute of Ecosystem Studies Environmental Monitoring Program is a long-term data collection program designed to understand how the environment changes over time. The program includes monitoring of climate including temperature and precipitation, as well as variables related to air pollution, such as acid deposition and ozone, and water pollution and other streamwater chemistry. Our solar radiation monitoring includes diffuse and global photosynthetically active radiation (PAR), diffuse and global shortwave radiation, net radiation and UV. Long-term monitoring of solar radiation provides us with an understanding of atmospheric energy dynamics, which can affect natural and human systems. The Cary Institute of Ecosystem Studies, Environmental Monitoring Program furnishes data under the following conditions: The data have received quality assurance scrutiny by our program, and, although we are confident of the accuracy of these data, Cary Institute will not be held liable for errors in these data. Data are subject to change resulting from updates in data screening or models used. Data citation: please click on the Cite button in the Figshare repository.<br> Those wishing to publish data from Cary Institute of Ecosystem Studies, Environmental Monitoring Program are encouraged to contact data manager Vicky Kelly, kellyv@caryinstitute.org.<br> For complete data for previous years and for complete metadata, please see appropriate items for the Cary Institute Environmental Monitoring Program at https://caryinstitute.figshare.com/
DOI: 10.21227/q8at-es45
title: User perception for the adoption of chatbots

description: Artificial intelligence has gained significant attention in education, and the chatbot is one of thelatest additions to its list. Students need to adopt the ability with the rapid evolution of onlineplatforms to thrive in this dynamic environment. It is crucial to know the acceptance of Chatbotssuch as Chat Generative Pretrained Transformer (ChatGPT), Google Bard, and others, whichutilize the Large Language Model (LLM), to know its effectiveness, learning outcomes, andattitude towards them among the students. Through Partial Least Squares Structural EquationModeling (PLS-SEM) by considering the Technology Readiness Index (TRI) and TechnologyAcceptance Model (TAM), this research work&#39;s main goal is to examine the factors thatinfluence chatbot adoption in higher education among students.
DOI: 10.34740/kaggle/dsv/6759946
title: Student Performance Dataset
DOI: 10.18739/a2r785q79
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (U32B) Sagwon Hills MAT, Alaska, 1995-2023

description: This site is registered with the Circumpolar Active Layer Monitoring (CALM) program. It is one among a network of sites that represent a coordinated effort to standardize the collection and access to thaw measurements in representative undisturbed permafrost landscapes. This dataset contains long-term spatial thaw depth observations using mechanical probing on dates indicated by file column headers. To ensure relative consistency within the record, end-of-season measurement dates are within the same Julian calendar week during the height of the thaw season (mid-August to mid-September). It is important to note that the date of maximum annual thaw, interpreted as the active layer thickness, can vary from year to year and between sites.
DOI: 10.25952/w79e-0s29
title: Bridging the Educational Gap in Saudi Female Accounting Teaching Practices - Dataset

description: This study investigates the gaps in accounting education for female students in public universities in Saudi Arabia, taking into account industry expectations, the Saudi Vision 2030 agenda, and the perspectives of accounting educators, students, and industry bodies. Using a mixed methods approach, the study conducted interviews with accounting educators, NCAAA and SOCPA members, and surveyed female accounting students. The findings highlight challenges in teaching practices, such as limited access to appropriate learning materials, rigid practices influenced by workplace culture, gender biases, and insufficient industry engagement. Recommendations for improvement include introducing curriculum flexibility, increasing industry involvement, granting more decision-making freedom to female educators, and fostering collaboration among stakeholders. The study underscores the significance of accounting education in preparing female students for real-world accounting tasks and aligning with the goals of the Saudi Vision 2030.
description: This study investigates the gaps in accounting education for female students in public universities in Saudi Arabia, taking into account industry expectations, the Saudi Vision 2030 agenda, and the perspectives of accounting educators, students, and industry bodies. Using a mixed methods approach, the study conducted interviews with accounting educators, NCAAA and SOCPA members, and surveyed female accounting students. The findings highlight challenges in teaching practices, such as limited access to appropriate learning materials, rigid practices influenced by workplace culture, gender biases, and insufficient industry engagement. Recommendations for improvement include introducing curriculum flexibility, increasing industry involvement, granting more decision-making freedom to female educators, and fostering collaboration among stakeholders. The study underscores the significance of accounting education in preparing female students for real-world accounting tasks and aligning with the goals of the Saudi Vision 2030.
DOI: 10.5519/qd.wc6hhmgj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5717363 records)
DOI: 10.5519/qd.39u6o20x
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3736 records)
DOI: 10.6084/m9.figshare.24463426
title: <b>Data for: Zoey R Neale and Volker HW Rudolf. 2023. Differences in thermal responses of feeding rates can reshuffle predator hierarchies</b>

description: This is data and code used in paper: Zoey Neale and Volker HW Rudolf. 2023. Differences in thermal responses of feeding rates can reshuffle predator hierarchies. <i>In preperation</i>.It contains data collected on the number of <i>Daphnia pulex</i> consumed by six insect predator species exposed to a temperature gradient, as well as data on predator survivorship when exposed to a temperature gradient. Data includes temperature treatment, temporal bock (trial), water bath ID, location in water bath, predator species, the number of surviving <i>D. pulex </i>at the end of the feeding rate trial, and the number of surviving predators at the end of the heat tolerance trial. Code files include all statistical analyses performed in the corresponding paper.See readme file for detailed descriptions of data and code.
DOI: 10.6084/m9.figshare.24463426.v1
title: <b>Differences in thermal responses of feeding rates can reshuffle predator hierarchies</b>

description: This is data and code used in paper: Zoey Neale and Volker HW Rudolf. 2023. Differences in thermal responses of feeding rates can reshuffle predator hierarchies. <i>In preperation</i>.It contains data collected on the number of <i>Daphnia pulex</i> consumed by six insect predator species exposed to a temperature gradient, as well as data on predator survivorship when exposed to a temperature gradient. Data includes temperature treatment, temporal bock (trial), water bath ID, location in water bath, predator species, the number of surviving <i>D. pulex </i>at the end of the feeding rate trial, and the number of surviving predators at the end of the heat tolerance trial. Code files include all statistical analyses performed in the corresponding paper.See readme file for detailed descriptions of data and code.
DOI: 10.5517/ccdc.csd.cc2g8dqw
title: CCDC 2272198: Experimental Crystal Structure Determination

description: Related Article: Sodai Miyamoto, Kojiro Nagata, Takashi Yoshimura|2023|Inorg.Chem.|62|17641|doi:10.1021/acs.inorgchem.3c02149
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.cc2g8drx
title: CCDC 2272199: Experimental Crystal Structure Determination

description: Related Article: Sodai Miyamoto, Kojiro Nagata, Takashi Yoshimura|2023|Inorg.Chem.|62|17641|doi:10.1021/acs.inorgchem.3c02149
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.cc2g8f17
title: CCDC 2272208: Experimental Crystal Structure Determination

description: Related Article: Sodai Miyamoto, Kojiro Nagata, Takashi Yoshimura|2023|Inorg.Chem.|62|17641|doi:10.1021/acs.inorgchem.3c02149
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.cc2ggg7n
title: CCDC 2278011: Experimental Crystal Structure Determination

description: Related Article: Philip Andreetta, Robert T. Martin, Charafa Souilah, Ángel Rentería-Gómez, Zhihui Song, Yas Khorramshahi Bayat, Sergei Ivlev, Osvaldo Gutierrez, Alicia Casitas|2023|Angew.Chem.,Int.Ed.|62|e202310129|doi:10.1002/anie.202310129
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.cc2ghn1p
title: CCDC 2279152: Experimental Crystal Structure Determination

description: Related Article: Song Cheng, Wen Gu, Kun Zhao, Shu Ting Zhang, Lan Yang, Qing Song Liu, Xiao Xiao Li, Zhi Gang Zhao|2023|New J.Chem.|47|19698|doi:10.1039/D3NJ03326K
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.cc2glp2v
title: CCDC 2282067: Experimental Crystal Structure Determination

description: Related Article: V. S. Ajithkumar, Pratiksha B. Ghanwat, K. Vipin Raj, Kumar Vanka, Rajesh G. Gonnade, Sakya S. Sen|2023|Organometallics|42|2983|doi:10.1021/acs.organomet.3c00318
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.cc2glp92
title: CCDC 2282074: Experimental Crystal Structure Determination

description: Related Article: V. S. Ajithkumar, Pratiksha B. Ghanwat, K. Vipin Raj, Kumar Vanka, Rajesh G. Gonnade, Sakya S. Sen|2023|Organometallics|42|2983|doi:10.1021/acs.organomet.3c00318
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.cc2glpd5
title: CCDC 2282077: Experimental Crystal Structure Determination

description: Related Article: V. S. Ajithkumar, Pratiksha B. Ghanwat, K. Vipin Raj, Kumar Vanka, Rajesh G. Gonnade, Sakya S. Sen|2023|Organometallics|42|2983|doi:10.1021/acs.organomet.3c00318
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.cc2gmwxx
title: CCDC 2283240: Experimental Crystal Structure Determination

description: Related Article: Hui-Min Pan, Jiao He, Wen-Hao Yu, Ping Hu, Bi-Qin Wang, Ke-Qing Zhao, Bertrand Donnio|2023|J.Mater.Chem.C|11|14695|doi:10.1039/D3TC02569A
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.36580167
title: (Al2O3)n, n=1-10, clusters data

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Bottom-up dust nucleation theory in oxygen-rich evolved stars I. Aluminium oxide clusters.' (bibcode: 2022A&A...658A.167G)
DOI: 10.5519/qd.aqfi9vwv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.5281/zenodo.10075198
title: Datasets and model checkpoints for overlapping-sparse neutrino interaction decomposition

description: Datasets and model checkpoints corresponding to the article: "Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions." (https://arxiv.org/abs/2310.19695):

dataset_p.tar.gz: proton dataset.
dataset_mu.tar.gz: muon dataset.
dataset_D+.tar.gz: deuterium dataset.
dataset_T+.tar.gz: tritium dataset.
metadata.tar.gz: datasets metadata.
checkpoints.tar.gz: checkpoints for the trained neural network models.
DOI: 10.5281/zenodo.10075199
title: Datasets and model checkpoints for overlapping-sparse neutrino interaction decomposition

description: Datasets and model checkpoints corresponding to the article: "Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions." (https://arxiv.org/abs/2310.19695):

dataset_p.tar.gz: proton dataset.
dataset_mu.tar.gz: muon dataset.
dataset_D+.tar.gz: deuterium dataset.
dataset_T+.tar.gz: tritium dataset.
metadata.tar.gz: datasets metadata.
checkpoints.tar.gz: checkpoints for the trained neural network models.
DOI: 10.5281/zenodo.10075379
title: Datasets and model checkpoints for overlapping-sparse neutrino interaction decomposition

description: Datasets and model checkpoints corresponding to the article: "Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions." (https://arxiv.org/abs/2310.19695):

dataset_p.tar.gz: proton dataset.
dataset_mu.tar.gz: muon dataset.
dataset_D+.tar.gz: deuterium dataset.
dataset_T+.tar.gz: tritium dataset.
metadata.tar.gz: datasets metadata.
checkpoints.tar.gz: checkpoints for the trained neural network models.
DOI: 10.5281/zenodo.10075666
title: Datasets and model checkpoints for overlapping-sparse neutrino interaction decomposition

description: Datasets and model checkpoints corresponding to the article: "Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions." (https://arxiv.org/abs/2310.19695):

dataset_p.tar.gz: proton dataset.
dataset_mu.tar.gz: muon dataset.
dataset_D+.tar.gz: deuterium dataset.
dataset_T+.tar.gz: tritium dataset.
metadata.tar.gz: datasets metadata.
checkpoints.tar.gz: checkpoints for the trained neural network models.
DOI: 10.5281/zenodo.10076656
title: Dataset: Trends in physical functioning in acute lymphoblastic leukemia and non-Hodgkin lymphoma survivors across three decades
DOI: 10.5281/zenodo.10076657
title: Dataset: Trends in physical functioning in acute lymphoblastic leukemia and non-Hodgkin lymphoma survivors across three decades
DOI: 10.5281/zenodo.10076568
title: Patellar Tendon Load Progression during Rehabilitation Exercises: Implications for the Treatment of Patellar Tendon Injuries

description: Purpose 
To evaluate patellar tendon loading profiles (loading index, based on loading peak, loading impulse, and loading rate) of rehabilitation exercises to develop clinical guidelines to incrementally increase the rate and magnitude of patellar tendon loading during rehabilitation.
Methods 
Twenty healthy adults (10 females/10 males, 25.9 ± 5.7 years) performed 35 rehabilitation exercises, including different variations of squats, lunge, jumps, hops, landings, running, and sports specific tasks. Kinematic and kinetic data were collected and a patellar tendon loading index was determined for each exercise using a weighted sum of loading peak, loading rate, and cumulative loading impulse. Then, the exercises were ranked, according to the loading index, into tier 1 (loading index≤0.33), tier 2 (0.33 < loading index<0.66), and tier 3 (loading index≥0.66).
Results 
The single-leg decline squat showed the highest loading index (0.747). Other tier 3 exercises included single-leg forward hop (0.666), single-leg countermovement jump (0.711), and running cut (0.725). The Spanish squat was categorized as a tier 2 exercise (0.563), as was running (0.612), double-leg countermovement jump (0.610), single-leg drop vertical jump (0.599), single-leg full squat (0.580), double-leg drop vertical jump (0.563), lunge (0.471), double-leg full squat (0.428), single-leg 60° squat (0.411), and the Bulgarian squat (0.406). Tier 1 exercises included 20 cm step up (0.187), 20 cm step down (0.288), 30 cm step up (0.321), and double-leg 60° squat (0.224).
Conclusions 
Three patellar tendon loading tiers were established based on a combination of loading peak, loading impulse, and loading rate. Clinicians may use these loading tiers as a guide to progressively increase patellar tendon loading during the rehabilitation of patients with patellar tendon disorders and after anterior cruciate ligament reconstruction using the bone patellar tendon bone graft.