cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13302116
title: Arctic kelp occurrence records for maxent modelling

description: These records were used to train a model predicting kelp distributions at high latitude (i.e. in the Arctic).<br>Occurrence records were sourced for three species of kelp (Laminariales), all of which are widely reported throughout the Arctic: Agarum clathratum Dumortier, Alaria esculenta (Linnaeus) Greville, and Laminaria solidungula J.Agardh. Records were first sourced by scanning distributions depicted in Lüning (1990) and georeferencing them using ArcGIS. These distributions summarize records from extensive historical surveys dating back to at least the late 19th century. Secondly, georeferenced records were sourced from the Macroalgal Herbarium Portal (https://macroalgae.org/portal/index.php). For A. esculenta, a polygon was drawn to include records throughout the Atlantic and Arctic north of the Bering Strait, excluding records from the Pacific (which was similarly done for the distribution depicted by Lüning [1990]), which is consistent with A. esculenta sensu stricto, though some authors consider records of A. crispa from Kamchatka to also represent A. esculenta sensu lato (Klochkova et al. 2018). Finally, occurrence records were also derived from the Barcode of Life Data Systems.
DOI: 10.6084/m9.figshare.13302116.v1
title: Arctic kelp occurrence records for maxent modelling

description: These records were used to train a model predicting kelp distributions at high latitude (i.e. in the Arctic).<br>Occurrence records were sourced for three species of kelp (Laminariales), all of which are widely reported throughout the Arctic: Agarum clathratum Dumortier, Alaria esculenta (Linnaeus) Greville, and Laminaria solidungula J.Agardh. Records were first sourced by scanning distributions depicted in Lüning (1990) and georeferencing them using ArcGIS. These distributions summarize records from extensive historical surveys dating back to at least the late 19th century. Secondly, georeferenced records were sourced from the Macroalgal Herbarium Portal (https://macroalgae.org/portal/index.php). For A. esculenta, a polygon was drawn to include records throughout the Atlantic and Arctic north of the Bering Strait, excluding records from the Pacific (which was similarly done for the distribution depicted by Lüning [1990]), which is consistent with A. esculenta sensu stricto, though some authors consider records of A. crispa from Kamchatka to also represent A. esculenta sensu lato (Klochkova et al. 2018). Finally, occurrence records were also derived from the Barcode of Life Data Systems.
DOI: 10.25919/yryr-m023
title: Parkes observations for project PX600 semester 2020APRS_26

description: The Galactic Center (GC) is a key target for the radio component of Breakthrough Listen (BL) program. Offering the largest amount of stars in any given direction in the sky, the GC is widely cited as a location believed to harbour advanced civilizations, and it is also the most energetic region in the Milky Way. We aim to conduct BL-GC Survey with Parkes radio telescope for around 350 hours. We will cover the frequency range from 700 MHz to 4 GHz, utilizing the newly installed ultra-wideband receiver. Our team has already leveraged both standard and bespoke tools to construct a flexible software stack to search data for signals of interest. We will look for signals from extraterrestrial intelligence (ETI) by searching for both simple narrow-band signals and complex modulated signals. Along with that, as an ancillary science, we will also search for accelerated pulsars — likely orbiting a supermassive black hole at the centre of the Milky Way Galaxy. Data products produced during this program will also be publically available to engage larger pulsar community
DOI: 10.5281/zenodo.4387036
title: Dataset of results of the GraphQL-SMS

description: <strong>Dataset of results of the GraphQL-SMS</strong> <strong>02_1 RQ1_Mapping_DataSet_2020.xlsx</strong> contains the working data for the results of the question RQ1. <strong>02 Mapping_DataSet_2020.xlsx</strong> contains the working data for the results of the questions: RQ2, RQ3, RQ4, RQ5 and RQ6.
DOI: 10.5281/zenodo.4387035
title: Dataset of results of the GraphQL-SMS

description: <strong>Dataset of results of the GraphQL-SMS</strong> <strong>02_1 RQ1_Mapping_DataSet_2020.xlsx</strong> contains the working data for the results of the question RQ1. <strong>02 Mapping_DataSet_2020.xlsx</strong> contains the working data for the results of the questions: RQ2, RQ3, RQ4, RQ5 and RQ6.
DOI: 10.6084/m9.figshare.13356926
title: U-Th dating of the world’s deepest blue hole (Xisha Islands, South China Sea)_dataset

description: This dataset constains U-Th and radiocarbon ages used in the entitle "U-Th dating of the world’s deepest blue hole (Xisha Islands, South China Sea) and indications for its timing, possible hypogenic origin, and the sea level during the MIS 5d " that was submitted to Marine Geology. For details chemical and analytical methods, plesea see the text which we hope could be received and published.
DOI: 10.6084/m9.figshare.13356926.v2
title: U-Th dating of the world’s deepest blue hole (Xisha Islands, South China Sea)_dataset

description: This dataset constains U-Th and radiocarbon ages used in the entitle "U-Th dating of the world’s deepest blue hole (Xisha Islands, South China Sea) and indications for its timing, possible hypogenic origin, and the sea level during the MIS 5d " that was submitted to Marine Geology. For details chemical and analytical methods, plesea see the text which we hope could be received and published.
DOI: 10.6084/m9.figshare.13356926.v1
title: U-Th dating of the world’s deepest blue hole (Xisha Islands, South China Sea)_dataset

description: This dataset constains U-Th and radiocarbon ages used in the entitle "U-Th dating of the world’s deepest blue hole (Xisha Islands, South China Sea) and indications for its timing, possible hypogenic origin, and the sea level during the MIS 5d " that was submitted to Marine Geology. For details chemical and analytical methods, plesea see the text which we hope could be received and published.
DOI: 10.6084/m9.figshare.13379504
title: Deep submerged speleothems in the Xisha Yongle Blue Hole: implications for sea-level lowstands

description: This datase constains six U-Th and one radiocarbon ages of deep speleothems collected from the Sansha Yongle Blue Hole, Xisha Islands, South China Sea.
DOI: 10.6084/m9.figshare.13379504.v2
title: Deep submerged speleothems in the Xisha Yongle Blue Hole: implications for sea-level lowstands

description: This datase constains six U-Th and one radiocarbon ages of deep speleothems collected from the Sansha Yongle Blue Hole, Xisha Islands, South China Sea.
DOI: 10.6084/m9.figshare.13379504.v1
title: Deep submerged speleothems in the Xisha Yongle Blue Hole: implications for sea-level lowstands

description: This datase constains six U-Th and one radiocarbon ages of deep speleothems collected from the Sansha Yongle Blue Hole, Xisha Islands, South China Sea.
DOI: 10.5291/ill-data.9-13-779
title: Determining the Internal Structure and Growth Mechanisms of Synthetic Flagellar Filaments
DOI: 10.6084/m9.figshare.5998577
title: Outputs-analyses-Indicator_Results

description: Spatial indicator results
DOI: 10.6084/m9.figshare.5998577.v1
title: Outputs-analyses-Indicator_Results

description: Spatial indicator results
DOI: 10.5281/zenodo.4387050
title: Previously failing iView images

description: Out of sync iview images
DOI: 10.5281/zenodo.4387052
title: SMS-GraphQL Primary Studies Dataset

description: <strong>Dataset of primary studies selected to conduct the SMS</strong>
DOI: 10.5281/zenodo.4387051
title: SMS-GraphQL Primary Studies Dataset

description: <strong>Dataset of primary studies selected to conduct the SMS</strong>
DOI: 10.5291/ill-data.test-2621
title: Tests of D4's new cryofurnace on a weakly-scattering and highly absorbing magnetic sample (Sm-containing)
DOI: 10.25919/mp18-y162
title: Parkes observations for project PX501 semester 2020APRS_11

description: This proposal relates to time purchased by the Chinese Academy of Sciences for Parkes follow-up confirmation and timing of FAST discoveries. As the observing time has been purchased this proposal (and the related PX500) does not require TAC grading. The primary reason for submitting a proposal is to ensure an outreach statement and that the proposal is entered into OPAL for the data archive to access. The Chinese team have two time requests. The time scheduled for the first (PX500) will be allocated in blocks of 24 hours and the data will become available in the data archive with an 18 month embargo period. The second type of time (relating to this proposal) will be scheduled in shorter blocks and the data archived with a 10 year embargo.
DOI: 10.5281/zenodo.4387068
title: Data for "Gaining Hydrological Insights Through Wilk's Feature Importance: A Test-Statistic Interpretation method for Reliable and Robust Inference"

description: Daily timestep dataset including streamflows of three irrigation drainage basins; four irrigation canal flow data; precipitation, temperature and evaporation data.
DOI: 10.5291/ill-data.5-31-2572
title: Spin Glass to Canted Antiferromagnetism in Pseudo-dipolar Pyrochlores
DOI: 10.5291/ill-data.crg-2585
title: Study of the synthesis conditions of theroelectric Cu-based sulphides by in situ NPD
DOI: 10.6084/m9.figshare.13481012.v1
title: Additional file 1 of Impact of COVID-19 on pediatric emergencies and hospitalizations in Singapore

description: Additional file 1. Supplementary Table. Details of diagnostic codes. This is the list of diagnostic codes, by SNOMED-Clinical Terms (SNOMED-CT) and International Statistical Classification of Diseases and Related Health Problems (ICD 9 and 10-AM).
DOI: 10.6084/m9.figshare.13481006.v1
title: Additional file 1 of Comparison of the central human and mouse platelet signaling cascade by systems biological analysis

description: Additional file 1: The supplemental material. Supplemental Table S1. Proteins and interactions analyzed, all data. Supplemental Table S2. Comparison among all data-sets, all results. Figure S4. Differences in the central regulatory cascade (CC) between mouse and human, high resolution version for better readability. Figure S5. Full Network of proteins in and around the central platelet signalling cascade, high resolution version for better readability.
DOI: 10.6084/m9.figshare.13481040
title: Additional file 2 of Mitochondrial defects in the respiratory complex I contribute to impaired translational initiation via ROS and energy homeostasis in SMA motor neurons

description: Additional file 2: Mass spectromertry source data. This file contains results of the mass spectrometry including pathway analyses.
DOI: 10.6084/m9.figshare.13481040.v1
title: Additional file 2 of Mitochondrial defects in the respiratory complex I contribute to impaired translational initiation via ROS and energy homeostasis in SMA motor neurons

description: Additional file 2: Mass spectromertry source data. This file contains results of the mass spectrometry including pathway analyses.
DOI: 10.6084/m9.figshare.13481006
title: Additional file 1 of Comparison of the central human and mouse platelet signaling cascade by systems biological analysis

description: Additional file 1: The supplemental material. Supplemental Table S1. Proteins and interactions analyzed, all data. Supplemental Table S2. Comparison among all data-sets, all results. Figure S4. Differences in the central regulatory cascade (CC) between mouse and human, high resolution version for better readability. Figure S5. Full Network of proteins in and around the central platelet signalling cascade, high resolution version for better readability.
DOI: 10.6084/m9.figshare.13481012
title: Additional file 1 of Impact of COVID-19 on pediatric emergencies and hospitalizations in Singapore

description: Additional file 1. Supplementary Table. Details of diagnostic codes. This is the list of diagnostic codes, by SNOMED-Clinical Terms (SNOMED-CT) and International Statistical Classification of Diseases and Related Health Problems (ICD 9 and 10-AM).
DOI: 10.5291/ill-data.9-13-597
title: Effects of Gold Nanoparticles on the Elasticity of Model Lipid Membranes: a Neutron Spin Echo Study
DOI: 10.21948/1737786
title: Satellite Images Training and Validation Set
DOI: 10.5281/zenodo.4387081
title: Myocardial infarction, valvular heart disease and valvular heart disease anonymized databases, ECG analysis, XML files and strain output

description: Automated analysis of ECGs taken from patients with myocardial infarction, valvular heart disease and heart failure of different aetiologies. Clinical databases fully anonymized for outcome prediction. Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong – New Territories East Cluster Clinical Research Ethics Committee of the Hospital Authority. They are published for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit The use of these datasets should provide acknowledgements of such efforts by citing this DOI.
DOI: 10.25919/bw94-7n24
title: Parkes observations for project P985 semester 2019APRS_10

description: We propose to use the ultra-wide-bandwidth, low frequency receiver installed at the Parkes telescope in order to quantify the broad-band intermittency time scale, polarization, quasi-periodicities, and mode changing of a newly discovered pulsar, PSR J1926-0653. The pulsar is unique in its emission properties. It has multiple pulse components, that change with time (both mode- changing and sub-pulse drifting phenomena are evident). The pulsar exhibits nulls in which a few individual pulses seem to be missing. It also exhibits longer-scale (hour-scale) intermittency behaviour in which the emission switches off for long periods of time. The pulse flux densities often, but not always, seem to exhibit quasi-periodic variations. Clearly this pulsar may hold the key to many different emission phenomena and we request time on Parkes, FAST and ATCA to parameterise the pulsar and its emission properties in detail.
DOI: 10.21227/q9ee-a124
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains IDs and sentiment scores of the geo-tagged tweets related to the COVID-19 pandemic. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for coronavirus-related tweets using 90+ different keywords and hashtags that are commonly used while referencing the pandemic. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location.The paper associated with this dataset is available here: Design and analysis of a large-scale COVID-19 tweets dataset-------------------------------------Related datasets: (a) Coronavirus (COVID-19) Tweets Sentiment Trend (Global)(b) Tweets Originating from India During COVID-19 Lockdowns-------------------------------------Below is the quick overview of this dataset.— Dataset name: GeoCOV19Tweets Dataset— Number of tweets : 285,045 tweets— Coverage : Global— Language : English (EN)— Dataset usage terms : By using this dataset, you agree to (i) use the content of this dataset and the data generated from the content of this dataset for non-commercial research only, (ii) remain in compliance with Twitter's Developer Policy and (iii) cite the following paper:Lamsal, R. Design and analysis of a large-scale COVID-19 tweets dataset. Applied Intelligence (2020). https://doi.org/10.1007/s10489-020-02029-z— Primary dataset : Coronavirus (COVID-19) Tweets Dataset (COV19Tweets Dataset)— Dataset updates : Everyday— Active keywords and hashtags: keywords.tsvPlease visit this page (primary dataset) for details regarding the collection date and time (and other notes) of each CSV file present in this dataset.
DOI: 10.17632/rjs8fz2pwp.1
title: Supplemental Figure S1

description: Diagram of the tandem mass spectrum (MS/MS) multiple reaction monitoring.
DOI: 10.17632/f6d9dp2pk6.1
title: PcovidF_Data

description: Cross-sectional data from 256 elderly people about their fear of covid-19, social interaction anxiety and social engagement avoidance
DOI: 10.17632/dvzrggnjn9.1
title: Moringa hydroponics

description: NMR-based metabolomic analyses to identify changes in the leaf metabolite profile of a Moringa oleifera cultivar grown in an open hydroponic system. The main objective of this study was therefore to determine the effect of harvesting frequencies on selected bioactive compounds of a M. oleifera cultivar (PKM1) grown in a hydroponic system under a shade net structure. 1H NMR was used for data acquisition, and MestReNova software was used for the pre-processing of the spectral data. Multivariate data analysis by means of PCA and OPLS-DA was conducted using SIMCA software. Targeted metabolite analysis was used to match the NMR peaks of the compounds with the NMR chemical shifts of the contribution plot.
DOI: 10.17632/zgvfv9y24f.1
title: Interaction between CO2-rich acidic water, hydrated Portland cement and sedimentary rocks: column experiments and reactive transport modeling

description: Input reactive transport modeling
DOI: 10.17632/w2wm8k6kjh.1
title: District-wise covid and weather

description: Zone classification in India from 1st-4th May
DOI: 10.17632/rfdzsxv6dh.3
title: Supporting Information for [Terminal suturing between the Tarim Craton and the Yili-Central Tianshan arc: Insights from mélange-ocean plate stratigraphy, detrital zircon ages and provenance of the South Tianshan accretionary complex]

description: Supporting Information for [Terminal suturing between the Tarim Craton and the Yili-Central Tianshan arc: Insights from mélange-ocean plate stratigraphy, detrital zircon ages and provenance of the South Tianshan accretionary complex]
DOI: 10.17632/mz357z8pwx.1
title: Neural Sequences as an Optimal Dynamical Regime for the Readout of Time. Shanglin Zhou et al

description: We combined large-scale recordings and modeling to compare population dynamics between premotor cortex (M2) and striatum (dorsal lateral striatum) in mice performing a two-interval timing task. Conventional decoders revealed that the dynamics within each area encoded time equally well, however, the dynamics in striatum exhibited a higher degree of sequentiality. Analysis of premotor and striatal dynamics, together with a large set of simulated prototypical dynamic regimes, revealed that regimes with higher sequentiality allowed a biologically-constrained artificial downstream network to better read out time. These results suggest that although different strategies exist for encoding time in the brain, neural sequences represent an optimal and flexible dynamical regime for enabling downstream areas to read out this information. Here we provided the behavior and electrophsiological recording data of 8 mice used in the paper. We also provided matlab scripts to replicate Figure 2EFG, one of the main results in this paper as follows: --Start by running 'Fig2EFG.m' --Behavior and Ephys data of 8 mice used in the paper were stored in file 'twoIntervalData.mat', which was called by 'Fig2EFG.m'. --'SeqIndexDB': function used to compute the sequentiality index, temporal sparsity and peak entropy. --'CONV_RASTER': function used to estimate firing rate by convolving a spike train with a exponential filter.
DOI: 10.17632/p3gt8vvr5b.1
title: Cas9 deactivation using photocleavable guide RNAs

description: Raw gel images for "Cas9 deactivation using photocleavable guide RNAs”
DOI: 10.17632/c8gwvb6fzb.1
title: Codes for: Propensity Score Matching for Multiple Treatments using Generalized Boosted Models

description: The document includes the codes for propensity score analysis based on multiple treatments, as well as the matching results for a dataset on R&D subsidies among Chinese high-tech manufacturing firms in Jiangsu Province. In the dataset, firms can receive a national subsidy or a provincial subsidy, which have different selection criteria. Propensity score analysis becomes complicated when there are multiple treatments. Existing studies bypass this complication by focusing on two of the treatments at a time and calculate the pairwise treatment effects, but this pairwise comparison does not allow advanced analysis that investigates how different treatments interact with other variables to influence the dependent variable. Our codes illustrate how to obtain a matched sample with balanced pretreatment variables for a dataset with multiple treatments. Using Generalized Boosted Models (GBMs) to calculate the generalized propensity score vector, our proposed procedure matches observations on a multi-dimensional space. After obtaining the matched sample, researchers can directly conduct complex econometric analysis using standard statistical packages without the necessity of additional programming. Our results also demonstrate the advantage of GBMs over the commonly-used multinomial logistic regressions in calculating the generalized propensity score.
DOI: 10.17632/6z86pz9rnm.1
title: Meta datte

description: The main objectives of this study were to study the yeast microflora associated with Btana product and to identify the dominant species and investigating their phenotypical and metabolic product and the enzymatic activity.
DOI: 10.17632/84zypvmn2b.1
title: Dataset for "To denoise or to cluster? That is not the question. Both are necessary for COI metabarcoding and metaphylogeography"

description: This dataset contains the relevant files for a study optimizing and combining denoising and clustering algorithms for COI metabarcoding. The abstract is: The recent blooming of metabarcoding applications to biodiversity studies comes with some relevant methodological debates. One such issue concerns the treatment of reads by denoising or by clustering methods, which have been wrongly presented as alternatives. It has also been suggested that denoised sequence variants should replace clusters as the basic unit of metabarcoding analyses, missing the fact that sequence clusters are a proxy for species-level entities, the basic unit in biodiversity studies. We argue here that methods developed and tested for ribosomal markers have been uncritically applied to highly variable markers such as cytochrome oxidase I (COI) without conceptual or operational (e.g., parameter setting) adjustment. COI has a naturally high intraspecies variability that should be assessed and reported, as it is a source of very valuable information. We contend that denoising and clustering are not alternatives. Rather, they are complementary and both should be used together in COI metabarcoding pipelines. Using a typical dataset from benthic marine communities, we compared two denoising procedures (based on the UNOISE3 and the DADA2 algorithms), set suitable parameters for denoising and clustering COI datasets, and compared the outcome of applying these processes in different orders. Our results indicate that denoising based on the UNOISE3 algorithm better preserves intra-cluster variability. We suggest and test ways to improve this algorithm taking into account the natural variability of each codon position in coding genes. The order of the steps has little influence on the final outcome. We recommend researchers to consider reporting their results in terms of both denoised sequences (a proxy for haplotypes) and clusters formed (a proxy for species), and to avoid collapsing the sequences of the latter into a single representative. This will allow studies at the cluster (ideally equating species-level diversity) and at the intra-cluster level, and will ease additivity and comparability between studies.