cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h6f85q
title: Occurrence Download

description: A dataset containing 905 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycteroperca interstitialis (Poey, 1860)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 905 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053632-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.re4u7n
title: Occurrence Download

description: A dataset containing 1401771 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is USA.43.19_1"
 ]
}

 The dataset includes 1401771 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053616-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gp4e9x
title: Occurrence Download

description: A dataset containing 837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mycteroperca microlepis (Goode & Bean, 1879)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 837 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053633-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.908520
title: Convection over sea ice leads: large eddy simulation data

description: The data set consists of time-averaged large eddy simulation (LES) data of simulations of the convection over leads in the polar sea ice regions. The applied model is the Parallelized Large-Eddy Simulation Model (PALM) [Maronga et al. (2015), Raasch & Schröter (2001)]. All of the ten simulations represent a near lead-perpendicular inflow in the atmospheric boundary layer (ABL) over the leads, where the simulations differ in the lead width L, and where partly the flow over two consecutive leads has been simulated. All simulations represent idealized scenarios of a typical springtime ABL in the polar ocean regions. Hence, the data is not georeferenced and the outputs are given with respect to a Cartesian coordinate system.For each simulation, two model output files are available. All files with “xz” refer to vertical cross-sections in lead-perpendicular direction, where the respective model variables are averaged in lead-parallel direction. All files with “xy” refer to values at the surface. All model outputs are averaged in time over a period of 3600 seconds and outputs are available for an output time interval of 900 seconds.The simulations differ in lead width L, in the upstream ABL-averaged wind speed U (or here: ff), and in the surface temperature of sea ice Tice (or here: Surf temp). More details on the respective setup of the scenarios and a description of the applied model version of PALM are given in the corresponding publication (see section 2 and Table 1). More details on the LES variables are given in the PALM-documentation: https://palm.muk.uni-hannover.de/trac/wiki/doc/app/d3par
DOI: 10.5281/zenodo.1201560
title: Integrated analysis of anatomical and electrophysiological human intracranial data

description: The exquisite spatiotemporal precision of human intracranial EEG recordings (iEEG) permits characterizing neural processing with a level of detail that is inaccessible to scalp-EEG, MEG, or fMRI. However, the same qualities that make iEEG an exceptionally powerful tool also present unique challenges. Until now, the fusion of anatomical data (MRI and CT images) with the electrophysiological data and its subsequent analysis has relied on technologically and conceptually challenging combinations of software. Here, we describe a comprehensive protocol that addresses the complexities associated with human iEEG, providing complete transparency and flexibility in the evolution of raw data into illustrative representations. The protocol is directly integrated with an open source toolbox for electrophysiological data analysis (FieldTrip). This allows iEEG researchers to build on a continuously growing body of scriptable and reproducible analysis methods that, over the past decade, have been developed and employed by a large research community. We demonstrate the protocol for an example complex iEEG data set to provide an intuitive and rapid approach to dealing with both neuroanatomical information and large electrophysiological data sets. We explain how the protocol can be largely automated and readily adjusted to iEEG data sets with other characteristics. The protocol can be implemented by a graduate student or post-doctoral fellow with minimal MATLAB experience and takes approximately an hour, excluding the automated cortical surface extraction. This collection contains the data described in the protocol and that can be used to replicate all results.
description: A.S. was supported by Rubicon grant #446-14-007 from NWO and Marie Sklodowska-Curie Global Fellowship #658868 from the European Union; R.vd.M. by R01 #MH095984-03S1 from NIMH; J-M.S. by VIDI #864-14-011 from NWO, R.T.K. by NINDS R37NS21135, and R.O. by the Marie Skłodowska-Curie Innovative Training Networks grant #641652 from the European Union.
DOI: 10.5281/zenodo.1321900
title: DataSet: Framing side effects positively: a way to enhance analgesia?

description: Side effects are frequent in pharmacological pain management, potentially preceding analgesia and limiting drug tolerability. Discussing side effects is part of informed consent, yet can favor nocebo effects. This study aimed to test whether a positive suggestion regarding side effects, which could act as reminders of the medication having been absorbed, might favor analgesia in a clinical interaction model.

 

Sixty-six healthy males participated in a study “to validate pupillometry as an objective measure of analgesia”. Participants were unknowingly randomized double-blind to positive vs control information about side effects embedded in a video regarding the study drugs. Sequences of moderately painful heat stimuli applied before and after treatment with diclofenac and atropine served to evaluate analgesia. Atropine was deceptively presented as a co-analgesic, but used to induce side effects. Adverse events (AE) were collected with the General Assessment of Side Effects (GASE) questionnaire prior to the second induced pain sequence. Debriefing fully informed participants regarding the purpose of the study and showed them the two videos.

 

The combination of medication led to significant analgesia, without a between-group difference. Positive information about side effects increased the attribution of AE to the treatment compared to the control information. The total GASE score was correlated with analgesia, i.e., the more AEs reported, the stronger the analgesia. Interestingly, there was a significant between-groups difference on this correlation: the GASE score and analgesia correlated only in the positive information group. This provides evidence for a selective link between AEs and pain relief in the group who received the suggestion that AEs could be taken as a sign “that help was on the way”. During debriefing, 65% of participants said they would prefer to receive the positive message in a clinical context. These results suggest feasibility and validity to investigate such a framing of side effects in a clinical context, for example in patients with chronic pain.
DOI: 10.5281/zenodo.3259369
title: Data related to the article: Y. Norman et al., Science 365, eaax1030 (2019)

description: This data set contains intracranial EEG data, analysis code and results associated with the manuscript, "<strong>Hippocampal Sharp-wave Ripples Linked to Visual Episodic Recollection in Humans</strong>". [DOI: 10.1126/science.aax1030] Data files (.mat) and associated scripts (.m) are divided into folders according to the subject of the analysis (e.g. ripple detection, ripple-triggered averages, multivariate pattern analysis etc.) and are all contained in the .zip file: “Norman_et_al_2019_data_and_code_zenodo.zip". The code is written in Matlab R2018b and run on a desktop computer with a 3.4Ghz Intel Core i7-6700 CPU with 64GB RAM. Matlab's Signal Processing Toolbox is required. <strong>General notes:</strong> 1) The data does not contain identifying details about the patients, nor voice recordings. 2) Before running the analyses, make sure you set the correct paths in the "startup_script.m" located in the main folder where the zip file was extracted. 3) To run the code, the following open-source toolboxes are required: <strong>EEGLAB</strong> (https://sccn.ucsd.edu/eeglab/download.php), version: "eeglab14_1_2b". A. Delorme, S. Makeig, EEGLAB: An open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. <em>J. Neurosci. Methods</em>. <strong>134</strong>, 9–21 (2004). <strong>Mass Univariate ERP Toolbox</strong> (https://openwetware.org/wiki/Mass_Univariate_ERP_Toolbox), version: "dmgroppe-Mass_Univariate_ERP_Toolbox-d1e60d4". D. M. Groppe, T. P. Urbach, M. Kutas, Mass univariate analysis of event-related brain potentials/fields I: A critical tutorial review. <em>Psychophysiology</em>. <strong>48</strong>, 1711–1725 (2011). *** Make sure you download the relevant toolboxes and save them in the "path_to_toolboxes" before running the analysis scripts (see "startup_script.m") 4) Code developed by other authors (redistributed here as part of the analysis code): DRtoolbox (https://lvdmaaten.github.io/drtoolbox/), version: 0.8.1b. L.J.P. van der Maaten, E.O. Postma, and H.J. van den Herik. <strong>Dimensionality Reduction: A Comparative Review</strong>. Tilburg University Technical Report, TiCC-TR 2009-005, 2009. Scott Lowe / superbar (https://github.com/scottclowe/superbar), version: 1.5.0. Oliver J. Woodford, Yair M. Altman / export_fig (https://github.com/altmany/export_fig).
description: {"references": ["Y. Norman et al., Science 365, eaax1030 (2019). DOI: 10.1126/science.aax1030"]}
DOI: 10.5281/zenodo.3475612
title: BLE RSSI vs distance

description: The data set has been used in SmartCPS experiment within Fed4Fire+ continuous call for studying RSSI (of BLE devices sending advertisements) depending on the distance to the scanning nodes. The data set contains location information transferred over Bluetooth Low Energy from a single BLE tag and registered by 5 nodes from CityLab testbed: Node 9, Node 33, Node 34, Node 35, Node 36 The data is stored in CSV format (with the following columns):<br> <strong>node</strong> - id of the CityLab testbed node<br> (<strong>node_lat</strong>, <strong>node_lon</strong>) - GPS coordinates of the node<br> (<strong>tag_lat</strong>, <strong>tag_lon</strong>) - GPS coordinates of the tag<br> <strong>ts</strong> - timestamp (milliseconds since the UNIX epoch: 1 January 1970)<br> <strong>rssi -</strong> received signal strength indication
DOI: 10.5281/zenodo.3564792
title: Contiguous SIF dataset

description: Contiguous SIF dataset created by <em>Zhang et al</em><em>.</em> [2018] Reference: Zhang, Y., Joiner, J., Alemohammad, S. H., Zhou, S., & Gentine, P. (2018). A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences. https://doi.org/10.5194/bg-15-5779-2018
DOI: 10.5281/zenodo.3675313
title: Subseasonal vacillations in the winter stratosphere

description: Data and code to re-produce all figures and tables in "Subseasonal vacillations in the winter stratosphere", to be published in Geophysical Research Letters.
DOI: 10.5281/zenodo.3697247
title: Supplementary Information Table for J. Geophys. Res. article: A Survey of Small-Scale Waves and Wave-Like Phenomena in Jupiter's Atmosphere Detected by JunoCam

description: Text version of the Table in the Supplementary Information file associated with the J. Geophys. Res. article by Orton et al. (2020) A Survey of Small-Scale Waves and Wave-Like Phenomena in Jupiter’s Atmosphere Detected by JunoCam. The columns provide values for various sizes and orientations associated with waves detected by the Juno spacecraft's JunoCam visible imaging instrument. The values include the perijove, PJ (orbit close approach), image number, number of wave crests detected, the mean longitude and latitude, the length and width of the wave packet, the wavelength (mean distance between wave crests), and the tilt (angle of the wave crest with respect to the direction of the wave).
DOI: 10.5281/zenodo.3750431
title: Temperature control on high-resolution SIMS oxygen isotopic compositions in Porites coral skeletons

description: The dataset includes all data for "Temperature control on high-resolution SIMS oxygen isotopic compositions in Porites coral skeletons" by Zou et al. from Guangzhou Institute of Geochemistry.
DOI: 10.5281/zenodo.3751986
title: A Spatially Variable Time Series of Sea Level Change Due to Artificial Water Impoundment

description: This database contains a series of gravitational, rotational, and deformational (GRD) "fingerprints"—the spatial response of sea level—corresponding to redistribution of water mass because of impoundment of water in artificial reservoirs, as reported in Hawley <em>et al</em>. (2020). Fingerprints for the GRanD database (Lehner <em>et al</em>.; 2011) are for individual years, noted in the file name. Three additional files come from the dataset provided by Zarfl <em>et al</em>. (2015), as described in Hawley <em>et al.</em> (2020). "Const" includes the fingerprint for all reservoirs under construction in their database; "Plan" includes the fingerprint for all reservoirs in the planning phase. "Zarfl" includes the fingerprint for all reservoirs in "Const," with 15 years of seepage, as well as all reservoirs for "Plan" with 5 years of seepage, as described in Hawley <em>et al</em>. (2020). Each fingerprint has 525,825 points, which fill out a global grid of 513 x 1025 [lat x lon] points. Each node in latitude and longitude is evenly spaced. The first point represents the northernmost point at 0 [deg] longitude, and increase first to the east, then to the south.
description: {"references": ["Lehner et al. (2011); doi.org/10.7927/H4HH6H08", "Zarfl et al. (2015); doi.org/10.1007/s00027-014-0377-0"]}
DOI: 10.5281/zenodo.3772147
title: Dataset for Angular Dependence and Spatial Distribution of Jupiter's Centimeter-Wave Thermal Emission from Juno's Microwave Radiometer

description: This dataset comprises all processed data (in HDF5 format) used in figures and discussion in the paper "Angular Dependence and Spatial Distribution of Jupiter's Centimeter-Wave Thermal Emission from Juno's Microwave Radiometer".
DOI: 10.5281/zenodo.4306876
title: JPY Libor

description: Trial to check Zenodo.
DOI: 10.5281/zenodo.4382202
title: An Excel spreadsheet including eddy covariance, meteorological, and tidal data measured at Yunxiao mangrove flux tower.

description: An Excel spreadsheet including eddy covariance, meteorological, and tidal data at Yunxiao mangrove flux tower required to reproduce key findings in Figures 4-9 in the main text (each figure corresponds to a single sheet). Contact Xudong Zhu at Xiamen University (xdzhu@xmu.edu.cn) if you have any question.
DOI: 10.5281/zenodo.4456062
title: Zagreb dataset

description: The dataset is produced within the Safelog project and is used for the evaluation of the developed algorithm which estimates the location of humans in the warehouse environments.
DOI: 10.5281/zenodo.5257309
title: IMDB Reviews

description: IMDB Reviews: contains 348,415 user reviews about 50,000 movies. The scores for the movies, in a range [0,10], were discretized so that 10 classes are considered for classification. This is a highly imbalanced dataset. The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_&lt;k&gt;.pkl: pandas DataFrame with k-cross validation partition.
description: {"references": ["https://doi.org/10.1016/j.ipm.2020.102481", "https://doi.org/10.1016/j.ipm.2020.102263"]}
DOI: 10.5281/zenodo.5569300
title: Ear impressions and Earmold design files

description: 3D scans of ear impressions and 3D models of earmolds used in F. Denk et al., "Occlusion and coupling effects with different earmold designs – all a matter of opening the ear canal?" International Journal of Audiology, 2022, DOI:10.1080/14992027.2022.2039966
DOI: 10.5281/zenodo.6918393
title: Modern pollen data from the East Asian Pollen Database (EAPD): pollen, vegetation and climate relationship

description: This is a modern pollen dataset of eastern Asia, in which a total of 1756 sample sites is selected from the original database EAPD (East Asian Pollen Database) which consists of 2858 samples. The sample types are mainly surface soil, moss, sediment top (lake, delta, peatland, river basin, reservoir and so on), and dust capture. The pollen data are mostly count numbers, but a few was originally given in percentage (marked with TRUE for proportion or percentage). We have checked pollen taxonomic nomenclature and combined some synonym pollen types from different original sources. This dataset includes only the samples collected in the areas under natural vegetation or land cover with low human disturbance, that the sites located in the agriculture areas or strong human intervention have been excluded. This screening procedure makes the pollen data readily available for biome and climate reconstructions. The contributors' original research concerning pollen-climate relationship from EAPD sources have been published in Zheng, et al. (2014 and 2008), which have revealed that pollen taxa in the dataset have significant relationship with climate variables. This dataset is potentially useful for multiscale paleovegetation and paleoclimate reconstruction studies in Asia. EAPD is developed and maintained by the Laboratory of Quaternary Science and Palynology in the School of Earth Sciences and Engineering, Sun Yat-sen University, Zhuhai, China.
description: The data are only opened for non-profit-making organizations and for scientific research.
description: {"references": ["Zheng, Z., Wei, J., Huang, K., et al., (2014). East Asian pollen database: modern pollen distribution and its quantitative relationship with vegetation and climate. Journal of Biogeography (J. Biogeogr.) (2014) 41, 1819\u20131832", "Zheng Z., Huang K., Xu Q., et al. (2008). Comparison of climatic threshold of geographical distribution between dominant plants and surface pollen in China. Science in China, Series D: Earth Sciences, 2008, 51(8): 1107-1120.", "Zheng, Z., Cour, P., Huang, C., et al. (2007). Dust pollen distribution on a continental scale and its relation to present-day vegetation along north-south transects in East China. Science in China. Science China, Series D: Earth Sciences, 50 (2) 236-246"]}
DOI: 10.5281/zenodo.4445434
title: SPNet Dataset Release

description: Datasets FakeLarge and CGlarge (previously denoted by the labels A and C) -- i.e., fake data and its CycleGAN-processed variant -- accompanying the paper, "ConvNets for Counting..." by Scott H. Hawley and Andrew C. Morrison. These two subdirectories (A/ and C/) consist of 50,000 512x385 grayscale PNG images and their accompanying CSV files denoting the locations, orientations, and numbers of rings in elliptical clusters intended to "put the SPNet object detector code through its paces" by roughly simulating features present in laser ESPI images of oscillating steelpan drums.
DOI: 10.5281/zenodo.4617285
title: The Microsoft Academic Graph in RDF: A Linked Data Source with 8 Billion Triples of Scholarly Data

description: We provide an updated version of the <strong>Microsoft Academic Knowledge Graph (MAKG.org)</strong>. The MAKG is a <strong>large RDF knowledge graph </strong>with <strong>over eight billion triples</strong> containing information about scientific <strong>publications</strong> and related entities, such as <strong>authors</strong>, <strong>institutions</strong>, <strong>journals</strong>, and <strong>fields of study</strong>. Number of instances: Papers: 238,670,900<br> Papers with URL: 224,325,750<br> Papers with abstract: 139,227,097<br> Authors: 243,042,675 / 151,355,324 after autor name disambiguation (both included)<br> Affiliations: 25,767<br> Journals: 48,942<br> Conferences: 4,468<br> Conference Instances: 16,142<br> Original fields of Study: 740,460 The provided data is based on the MAG data as of <strong>2020-06-19</strong>. Besides the MAKG core data, also the <strong>owl:sameAs-links to Wikidata</strong> were created. More information can be found at https://makg.org/ and in the papers SWJ'21 submission. ISWC'19 paper <strong>The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data</strong> (author copy available here). If you use the data set, please cite it as follows (see also in DBLP): Michael Färber: "The Microsoft Academic Knowledge Graph: A Linked Data Source with 8 Billion Triples of Scholarly Data". Proceedings of the 18th International Semantic Web Conference (ISWC'19). Auckland, New Zealand, 2019, pp. 113-129. <pre><code>@inproceedings{DBLP:conf/semweb/Farber19, author = "{Michael F{\"{a}}rber}", title = "{The Microsoft Academic Knowledge Graph: {A} Linked Data Source with 8 Billion Triples of Scholarly Data}", booktitle = "{Proceedings of the 18th International Semantic Web Conference}", series = "{ISWC'19}", location = "{Auckland, New Zealand}", pages = {113--129}, year = {2019}, url = {https://doi.org/10.1007/978-3-030-30796-7\_8}, doi = {10.1007/978-3-030-30796-7\_8} } </code></pre>
DOI: 10.5281/zenodo.800566
title: Superior Temporal Sulcus Disconnectivity During Processing Of Metaphoric Gestures In Schizophrenia

description: <strong><em>Data related to the following publication:</em></strong>

Straube, B., Green, A., Sass, K., & Kircher, T. (2014). Superior Temporal Sulcus Disconnectivity During Processing of Metaphoric Gestures in Schizophrenia. <em>Schizophrenia Bulletin</em>, <em>40</em>(4), 936–944. http://doi.org/10.1093/schbul/sbt110
DOI: 10.5281/zenodo.883444
title: Global Reforestation Potential Map

description: Global map of reforestation potential in press PNAS