cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6726672
title: Population genomics reveals differences in genetic structure between two endemic arboreal rodent species in threatened cloud forest habitat

description: SNPs obtained by UNEAK pipeline for <em>Habromys schmidlyi </em>and <em>Reithrodontomys microdon</em>. Pleae cite as: Colunga-Salas P., T Marines-Macías, G Hernández-Canchola, S Barbosa, C Ramírez, JB Searle, L León-Paniagua. 2022. <strong>Population genomics reveals differences in genetic structure between two endemic arboreal rodent species in threatened cloud forest habitat</strong>. Mammalian Reasearch. Doi: 10.1007/s13364-022-00667-x
description: SNPs obtained by UNEAK pipeline for Habromys schmidlyi and Reithrodontomys microdon
description: {"references": ["Colunga-Salas P.,\u00a0T Marines-Mac\u00edas,\u00a0G Hern\u00e1ndez-Canchola,\u00a0S\u00a0Barbosa,\u00a0C\u00a0Ram\u00edrez,\u00a0JB\u00a0Searle,\u00a0L\u00a0Le\u00f3n-Paniagua. 2022.\u00a0Population genomics reveals differences in genetic structure between two endemic arboreal rodent species in threatened cloud forest habitat. Mammalian Reasearch. Doi: 10.1007/s13364-022-00667-x"]}
DOI: 10.5281/zenodo.7101457
title: Normal mode splitting function predictions for mantle anisotropy

description: Predictions for normal mode splitting functions for 6 models of mantle anisotropy, accompanying the paper published in Geophysical Journal International by Restelli, Koelemeijer & Ferreira (2023). This is version 2 related to the revised manuscript. More details can be found in the README.
description: Funding was provided by the Royal Society (grants URF\R1\180377, RGF\EA\181029 and RF\ERE\210182) and NERC (NE\N011791\1).
description: {"references": ["Restelli, F., Koelemeijer, P. and A.M.G. Ferreira (2022). Normal mode observability of radial anisotropy in the Earth's mantle. Submitted to Geophysical Journal International."]}
DOI: 10.5281/zenodo.6120877
title: Normal mode splitting function predictions for mantle anisotropy

description: Predictions for normal mode splitting functions for 6 models of mantle anisotropy, accompanying the paper published in Geophysical Journal International by Restelli, Koelemeijer & Ferreira (2023). This is version 2 related to the revised manuscript. More details can be found in the README.
description: Funding was provided by the Royal Society (grants URF\R1\180377, RGF\EA\181029 and RF\ERE\210182) and NERC (NE\N011791\1).
description: {"references": ["Restelli, F., Koelemeijer, P. and A.M.G. Ferreira (2022). Normal mode observability of radial anisotropy in the Earth's mantle. Submitted to Geophysical Journal International."]}
DOI: 10.5281/zenodo.7142167
title: Comparing eDNA collection methods for sampling community composition on marine infrastructure

description: Raw de-multiplexed data accompanying the manuscript "Comparing eDNA collection methods for sampling community composition on marine infrastructure "Comparing eDNA collection methods for sampling community composition on marine infrastructure".
DOI: 10.5281/zenodo.7142166
title: Comparing eDNA collection methods for sampling community composition on marine infrastructure

description: Raw de-multiplexed data accompanying the manuscript "Comparing eDNA collection methods for sampling community composition on marine infrastructure "Comparing eDNA collection methods for sampling community composition on marine infrastructure".
DOI: 10.26186/147703
title: Kerguelen Plateau 100 m Bathymetry grid compilation (20220004C)

description: This dataset contains bathymetry (depth) products from the compilation of all available source bathymetry data within the Kerguelen Plateau into a 100 m-resolution Digital Elevation Model (DEM). Heard Island and McDonald Islands are situated on the Kerguelen Plateau within the south-west Indian Ocean and lie within Australia's marine jurisdiction. Heard Island and McDonald Islands (HIMI) are surrounded by an Exclusive Economic Zone extending 200 nautical miles from their coasts and much of the Kerguelen Plateau south of Heard Island has been recognised as Australian Extended Continental Shelf by the UN Commission for the Legal Continental Shelf. The area is currently targeted by fishers licensed under the Convention on the Conservation of Antarctic Marine Living Resources (CCAMLR). The purpose of the bathymetry grid is to improve the geomorphic detail of seafloor features, including submarine volcanic hills on the top of the Kerguelen Plateau and a complex of submarine channels draining the southern flank of northern plateau. Australian Hydrographic Office-supplied single beam echo sounder bathymetry data were used to develop the general depth variation across the Kerguelen Plateau and adjacent Williams Ridge extending to the south-east of the central plateau. Deep-water multibeam bathymetry data reveal the complexity of the seafloor on Kerguelen Plateau and the surrounding abyssal plains and basins. These multibeam surveys were conducted both as systematic surveys by Research Vessel (RV) Investigator and Sonne over Williams Ridge. Other multibeam data were obtained from transit voyages that crossed through the Kerguelen Plateau and Williams Ridge area. SHOM-supplied combined multibeam and single beam data were collected around the French EEZ and approaches to Kerguelen Island, which is French territory. Austral Fisheries provided extensive crowdsourced bathymetry (CSB) data from their various blue-water fishing vessels using single beam echo sounders. These fishing vessels operate within the Kerguelen Plateau and Williams Ridge region under licence from the Australian Fisheries Management Authority. Austral Fisheries CSB date were provided to the Australian Antarctic Division (AAD) for restricted use in this project. All source multibeam and single beam bathymetry data were extensively edited as 3D point clouds to remove obvious anomalous noise, and given a consistent WGS84 horizontal datum, and where possible, an approximate MSL vertical datum prior to the grid interpolation process.
DOI: 10.5281/zenodo.7689963
title: PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

description: The PHEE dataset contains over 5,000 finely annotated pharmacovigilance events from public medical case reports. Two types of events, the adverse events and the potential therapeutic events, are annotated. For each event, we annotate the event trigger and hierarchical arguments. The main arguments (coarse-grained spans) include subject, treatment and effect. Further fine-grained sub-arguments - <em>age</em>, <em>gender</em>, <em>race</em>, <em>number of patients</em> (labelled as population) and <em>preexisting conditions</em> (labelled as subject.disorder) for the subject argument and <em>drug </em>(and their combinations), <em>dosage</em>, <em>frequency</em>, <em>route</em>, <em>time-elapsed</em>, <em>duration</em>,<em> target disorder</em> (labelled as treatment.disorder) for the treatment argument - are then annotated upon main arguments. We provide two formats of data: visualisation-friendly brat-format data and structured json data for the convenience of use.
DOI: 10.5281/zenodo.7689970
title: PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

description: The PHEE dataset contains over 5,000 finely annotated pharmacovigilance events from public medical case reports. Two types of events, the adverse events and the potential therapeutic events, are annotated. For each event, we annotate the event trigger and hierarchical arguments. The main arguments (coarse-grained spans) include subject, treatment and effect. Further fine-grained sub-arguments - <em>age</em>, <em>gender</em>, <em>race</em>, <em>number of patients</em> (labelled as population) and <em>preexisting conditions</em> (labelled as subject.disorder) for the subject argument and <em>drug </em>(and their combinations), <em>dosage</em>, <em>frequency</em>, <em>route</em>, <em>time-elapsed</em>, <em>duration</em>,<em> target disorder</em> (labelled as treatment.disorder) for the treatment argument - are then annotated upon main arguments. We provide two formats of data: visualisation-friendly brat-format data and structured json data for the convenience of use.
DOI: 10.26186/147655
title: SI 1006 Great North East Channel, Torres Strait QLD. (HIPP) Multibeam Acquisition (20210018S)

description: The Great North Channel Torres Strait Multibeam survey was acquired for the Australian Hydrographic Office (AHO) onboard the MV Offshore Guardian and MV Special Order during the period 04 February– 14 April 2021. This was a contracted survey conducted by Guardian Geomatics as part of the Hydroscheme Industry Partnership Program. The survey area encompasses the Great North East Channel of the Torres Strait located between the Stephens Island, Pearce Cay and Rennel Island, Queensland. Bathymetry data was acquired using a Kongsberg EM2040-07 and Norbit iWBMSh Stx 200-400 kHz and processed using CARIS HIPS & SIPS 11.3 processing software. The dataset was then exported as a 30m resolution, 32 bit floating point GeoTIFF grid of the survey area. <br>This dataset is not to be used for navigational purposes.
DOI: 10.5281/zenodo.7689964
title: PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

description: The PHEE dataset contains over 5,000 finely annotated pharmacovigilance events from public medical case reports. Two types of events, the adverse events and the potential therapeutic events, are annotated. For each event, we annotate the event trigger and hierarchical arguments. The main arguments (coarse-grained spans) include subject, treatment and effect. Further fine-grained sub-arguments - <em>age</em>, <em>gender</em>, <em>race</em>, <em>number of patients</em> (labelled as population) and <em>preexisting conditions</em> (labelled as subject.disorder) for the subject argument and <em>drug </em>(and their combinations), <em>dosage</em>, <em>frequency</em>, <em>route</em>, <em>time-elapsed</em>, <em>duration</em>,<em> target disorder</em> (labelled as treatment.disorder) for the treatment argument - are then annotated upon main arguments. We provide two formats of data: visualisation-friendly brat-format data and structured json data for the convenience of use.
DOI: 10.26186/147670
title: SI 1010 Northern Approaches to Broome, WA. (HIPP) Multibeam Acquisition (20200020S)

description: The Northern Approaches to Broome multibeam survey was acquired for the Australian Hydrographic Office (AHO) onboard the MV Bhagwan K during the period 05 August– 02 October 2020. This was a contracted survey conducted by EGS as part of the Hydroscheme Industry Partnership Program. The survey area encompasses the northern approaches to Broome, WA located between the Talboys Rock and Gantheaume Point, Western Australia. Bathymetry data was acquired using a Kongsberg EM2040D 200-400 kHz and processed using QPS QINSy 9.2.3 processing software. The dataset was then exported as a 30m resolution, 32 bit floating point GeoTIFF grid of the survey area. <br>This dataset is not to be used for navigational purposes.
DOI: 10.25921/95y2-4s26
title: EM304 Water Column Sonar Data Collected During EX2204
DOI: 10.5281/zenodo.7689988
title: SG - February 2023

description: Measurements of SG (Global) in February 2023 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689987
title: SG - February 2023

description: Measurements of SG (Global) in February 2023 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689990
title: LPL1 - February 2023

description: Measurements of LPL1 (Teide NP) in February 2023 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689989
title: LPL1 - February 2023

description: Measurements of LPL1 (Teide NP) in February 2023 Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689992
title: LPL2 - February 2023

description: Measurements of LPL2 (Caldera de Taburiente NP) in February 2023 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689991
title: LPL2 - February 2023

description: Measurements of LPL2 (Caldera de Taburiente NP) in February 2023 La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689994
title: LPL3 - February 2023

description: Measurements of LPL3 (Madeira East Coast) in February 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689993
title: LPL3 - February 2023

description: Measurements of LPL3 (Madeira East Coast) in February 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689996
title: LPL4 - February 2023

description: Measurements of LPL4 (Ilha do Corvo) in February 2023 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689995
title: LPL4 - February 2023

description: Measurements of LPL4 (Ilha do Corvo) in February 2023 Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689998
title: LPL5 - February 2023

description: Measurements of LPL5 (Tejeda) in February 2023 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689997
title: LPL5 - February 2023

description: Measurements of LPL5 (Tejeda) in February 2023 Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690000
title: LPL7 - February 2023

description: Measurements of LPL7 (Archipielago Chinijo) in February 2023 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7689999
title: LPL7 - February 2023

description: Measurements of LPL7 (Archipielago Chinijo) in February 2023 Archipielago Chinijo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690002
title: LPL8 - February 2023

description: Measurements of LPL8 (Timanfaya NP) in February 2023 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690001
title: LPL8 - February 2023

description: Measurements of LPL8 (Timanfaya NP) in February 2023 Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690004
title: LPL12 - February 2023

description: Measurements of LPL12 (Ilhas Desertas) in February 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690003
title: LPL12 - February 2023

description: Measurements of LPL12 (Ilhas Desertas) in February 2023 Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690006
title: LPL14 - February 2023

description: Measurements of LPL14 (Ilha das Flores) in February 2023 Flores Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690005
title: LPL14 - February 2023

description: Measurements of LPL14 (Ilha das Flores) in February 2023 Flores Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690008
title: LPL15 - February 2023

description: Measurements of LPL15 (Badajoz) in February 2023 Provincia de Badajoz Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690007
title: LPL15 - February 2023

description: Measurements of LPL15 (Badajoz) in February 2023 Provincia de Badajoz Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690010
title: LPL16 - February 2023

description: Measurements of LPL16 (Caceres) in February 2023 Provincia de Cáceres Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690009
title: LPL16 - February 2023

description: Measurements of LPL16 (Caceres) in February 2023 Provincia de Cáceres Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690012
title: LPL17 - February 2023

description: Measurements of LPL17 (Isla de Tabarca) in February 2023 Alicante Light Pollution Laboratorie info
DOI: 10.5281/zenodo.7690011
title: LPL17 - February 2023

description: Measurements of LPL17 (Isla de Tabarca) in February 2023 Alicante Light Pollution Laboratorie info
DOI: 10.34740/kaggle/dsv/5090592
title: Michelin Guide Restaurants
DOI: 10.5281/zenodo.7690014
title: NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization

description: Accessing medical literature is difficult for laypeople as the content is written for specialists and contains medical jargon. Automated text simplification methods offer a potential means to address this issue. In this work, we propose a summarize-then-simplify two-stage strategy, which we call NapSS, identifying the relevant content to simplify while ensuring that the original narrative flow is preserved. In this approach, we first generate reference summaries via sentence matching between the original and the simplified abstracts. These summaries are then used to train an extractive summarizer, learning the most relevant content to be simplified. Then, to ensure the narrative consistency of the simplified text, we synthesize auxiliary narrative prompts combining key phrases derived from the syntactical analyses of the original text. Our model achieves results significantly better than the seq2seq baseline on an English medical corpus, yielding 3%~4% absolute improvements in terms of lexical similarity, and providing a further 1.1% improvement of SARI score when combined with the baseline. We also highlight shortcomings of existing evaluation methods, and introduce new metrics that take into account both lexical and high-level semantic similarity. A human evaluation conducted on a random sample of the test set further establishes the effectiveness of the proposed approach.
DOI: 10.5281/zenodo.7690013
title: NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization

description: Accessing medical literature is difficult for laypeople as the content is written for specialists and contains medical jargon. Automated text simplification methods offer a potential means to address this issue. In this work, we propose a summarize-then-simplify two-stage strategy, which we call NapSS, identifying the relevant content to simplify while ensuring that the original narrative flow is preserved. In this approach, we first generate reference summaries via sentence matching between the original and the simplified abstracts. These summaries are then used to train an extractive summarizer, learning the most relevant content to be simplified. Then, to ensure the narrative consistency of the simplified text, we synthesize auxiliary narrative prompts combining key phrases derived from the syntactical analyses of the original text. Our model achieves results significantly better than the seq2seq baseline on an English medical corpus, yielding 3%~4% absolute improvements in terms of lexical similarity, and providing a further 1.1% improvement of SARI score when combined with the baseline. We also highlight shortcomings of existing evaluation methods, and introduce new metrics that take into account both lexical and high-level semantic similarity. A human evaluation conducted on a random sample of the test set further establishes the effectiveness of the proposed approach.
DOI: 10.25345/c5xp6vd2r
title: MassIVE MSV000091390 - Liu_Goodall_circRNA_ESRP1_BioID_2023
title: This dataset consists of 6 raw MS files and associated peak lists and result files, acquired on a TripleTOF 6600 mass spectrometer operated in Data Dependent Acquisition mode. Sample generation, streptavidin affinity purification, mass spectrometric acquisition, and data analysis was performed by Boris Dyakov. The files are associated with a manuscript submitted for publication by Liu et al. that examined the ESRP1-dependent regulation, biogenesis and function of the circular RNA circDOCK1(2,27). BioID was used to identify proteins associated with ESRP1 using BioID to support this study. Greg Goodall is the corresponding author of the manuscript (Greg.Goodall@unisa.edu.au) Anne-Claude Gingras should be contacted for questions about this dataset (gingras@lunenfeld.ca)
DOI: 10.22002/6ejqf-qm267
title: First steps into the Cloud: Using Amazon data storage and computing with Python notebooks - Supplemental Data

description: Supplemental materials for the upcoming PLOS Protocol publication.
Provides Python&Julia jupyter notebooks and calcium brain activity imaging data from zebrafish
DOI: 10.21227/76qw-rp91
title: 64-antenna 7-UE Massive MIMO Indoor Mobility Channel Measurement

description: We conducted a massive MIMO channel measurement experiment in an indoor setting on the Rice University campus. We used a 64-antenna RENEW software-defined massive MIMO base station and seven software-defined clients in a large open area inside a building hall. We fixed six of the clients in a circle,15maway from the base station. The seventh node was placed on a robot where we moved the robot across the hall starting from the location of the first client to the last. We moved the robot along the path with different speeds, i.e. with0.5m/s,1m/s, and2m/s. The mobile node’s antenna was facing the base station in all the experiments (LoS channel). We repeated the experiments to measure both LoS and NLoS channels for the fixed clients.
DOI: 10.6084/m9.figshare.22197421
title: Derville et al. 2023 model data: whale abundance, fishing effort, and exposure by fishing zones

description: Dataset used in models for Derville et al. 2023 Biological Conservation, "Exposure of whales to entanglement risk in Dungeness crab fish-ing gear in Oregon, USA, reveals distinctive spatio-temporal and climatic patterns" <br> Abstract: Entanglement in fishing gear presents a major threat to marine mammals worldwide and a pressing concern for distinct populations of whales off the US West Coast. The lack of understanding of their fine-scale distribution in relation to fishing activity limits management efforts, specifically in Oregon. Based on year-round predictions of rorqual whale densities and fishing effort compiled from logbooks, we assess co-occurrence between commercial Dungeness crab fishing gear and whales over a decade (2011-2020) as an indicator of exposure to entanglement risk. Generalized Additive Models including temporal, climatic, and ocean upwelling predictors were used to investigate variations in exposure. Exposure peaked in April, at the onset of the upwelling season when whales were predicted to occur in greater numbers and closer to shore. Exposure remained constant until the end of the crab season in nearshore waters &lt;40 fathoms (73 m) and decreased past these depths. Across years, exposure was lower during the marine heatwave (2014-2016) when fishing was more active nearshore and whales were predicted to be less abundant. Exposure was higher before (2011-2013) and after (2017-2020) the heatwave, which correspond to negative phases of the Pacific Decadal Oscillation associated with stronger upwelling, indicating more productive conditions favorable to whales. A recent increase in exposure was also due to a slight shift in fishing effort towards deeper waters. These findings illustrate the use of fine-scale species distribution models to assess space-use conflicts in dynamic marine ecosystems and can be used to guide fisheries management to reduce entanglement risk in Oregon.
DOI: 10.26179/7cdy-ca16
title: RV Investigator Voyage IN2020_V01 Dredge Report
DOI: 10.6084/m9.figshare.21152098
title: MNS: SoA

description: Dataset
DOI: 10.6084/m9.figshare.21152098.v2
title: MNS: SoA

description: Dataset
DOI: 10.6084/m9.figshare.21152098.v1
title: Influence of subjective abnormality in the sense of agency on action-effect time perception: A questionnaire-based study in Japan

description: Dataset
DOI: 10.5517/ccdc.csd.cc2c87zw
title: CCDC 2182678: Experimental Crystal Structure Determination

description: Related Article: Zhong-Wu An, Yu-Qi Gao, Shao-Min Xu, Wei Zhang, Min-Xia Yao|2023|Cryst.Growth Des.|23|1412|doi:10.1021/acs.cgd.2c00940
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.