cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13176320
title: Drivers of renewable energy promotion in the EU-27,  2013-2021

description: 27 EU member states data on economic, geographical, environmental and structural indicators for the period 2013-2021
DOI: 10.6069/5r23-rq49
title: Global Burden of Disease Study 2019 (GBD 2019) Life Expectancy and Healthy Life Expectancy 1990-2019

description: "The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations.

Annual estimates for life expectancy and healthy life expectancy (HALE) are available from the GBD Results Tool. Estimates are available by age and sex for 1990-2019.

For additional GBD results and resources, visit the GBD 2019 Data Resources page."
DOI: 10.6084/m9.figshare.25762212
title: Training and testing datasets in "Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy".

description: Training and testing dataset for the MEHnet model on hydrocarbon molecules (hydrocarbons.tar.gz) and the QM9 dataset (QM9.tar.gz). We also include the raw computational data files and scripts to analyze the raw data files in Raw_data_and_scripts.zip.
DOI: 10.6084/m9.figshare.28099838
title: Supplementary Material for: A Pilot Study Using a Smartwatch to Search for Biomarkers of Heart Rate Variability in Active Ulcerative Colitis

description: Introduction: Autonomic imbalance has been reported to correlate with clinical remission in patients with ulcerative colitis (UC). This study evaluated heart rate variability (HRV), a potential digital biomarker, in patients with active UC using a smartwatch that is easy to handle.
Methods: Patients with active UC were recruited for this prospective study. The patients’ HRV was measured via the Fitbit Inspire2™ linked via Bluetooth to their smartphone. HRV during nighttime sleep was obtained from continuous data. Patients were required to input the Simple Clinical Colitis Activity Index (SCCAI) score once daily by the application on their smartphones for three months. 
Results: Nine patients with UC were included. In the clinically active phase, SCCAI scores showed a weak inverse relationship with parasympathetic activity, differences of successive R-R pulse intervals (RMSSD) (r=-0.44, p&lt;0.0001), high-frequency (HF) (r=-0.42, p&lt;0.0001), and total autonomic nervous activity, low-frequency (LF) (r=-0.43, p&lt;0.0001). Receiver Operating Characteristic analysis indicated that the RMSSD, HF, and LF were significantly higher in patients with active UC. Meanwhile, LF showed the most correlation with severity for bowel urgency scores.
Conclusion: Longitudinal nighttime HRV recorded using a smartwatch is associated with disease activity in patients with active UC. In particular, RMSSD and HF, which are indices of the parasympathetic nervous system, have been suggested as potential digital biomarkers for UC.
DOI: 10.4121/21892a06-078a-4600-8386-1abe46f42271
title: Data underlying the publication: Seed tuber microbiome is a predictor of next-season potato vigor

description: This dataset accompanies the paper "Seed tuber microbiome is a predictor of next-season potato vigor". The dataset includes drone images (.npy), arrays of lot boundaries (.npy) and canopy surface area measurements for potato plants in 2 separate years and 3 separate fields. The included script loads an image, crops a specific plot and applies the segmentation procedure to said plot. The accompanying protocol describes the techniques employed to obtain the measurements from RGB drone images of the fields.
DOI: 10.5281/zenodo.4529008
title: GNSS-A data obtained at the sites along the Japan Trench from March 2011 to June 2020

description: Contains the GNSS-A data obtained by the Japan Coast Guard at the sites along the Japan Trench from March 2011 to June 2020. Initial datasets are stored in the following directories:<br> -[initcfg]: contains initial site-parameter files<br> -[obsdata]: contains initial acoustic observation files Datasets after array determination are stored in the following directories:<br> -[single-default]: contains the results of preprocessing (non-rigid-array analysis)<br> -[cfgfix-default]: contains initial site-parameter files for rigid-array analysis These data can be processed with GARPOS. Sample shell script is also stored. Note that the site names "TU??" correspond to the sites "G??", which had deployed by the group of the Tohoku University (e.g., Kido et al., 2015; Honsho et al., 2019). The data at "TU??" are independently obtained by the Japan Coast Guard.
description: The observations were performed by the survey vessels operated by the Japan Coast Guard.
description: {"references": ["Kido et al. (2005)\u00a0\"Progress in the project for development of GPS/Acoustic technique over the last 4 years\" in GENAH, M. Hashimoto, Ed. pp. 3\u201310.\u00a0https://doi.org/10.1007/1345_2015_127", "Honsho et al. (2019)\u00a0Offshore postseismic deformation of the 2011 Tohoku earthquake revisited: application of an improved GPS-acoustic positioning method considering horizontal gradient of sound speed structure. J. Geophys. Res. Solid Earth 124, 5990\u20136009.\u00a0https://doi.org/10.1029/2018JB017135"]}
DOI: 10.5281/zenodo.8142630
title: MD Simulations of a1b2g2 GABA-A receptor

description: MD simulations in Shared structural mechanisms of general anaesthetics and benzodiazepines DOI: 10.1038/s41586-020-2654-5
DOI: 10.17592/001.2024061102
title: High resolution vertical atmospheric profiling by iMS-100 (Meisei) radiosonde at Tateno station (WMO station number: 47646) during WMO UAS-DC.

description: Meteorological drone profiling was made at the Meteorological Research Institute (MRI) / Japan Meteorological Agency (JMA), Tsukuba City, Japan, from 1 March to 30 April 2024 as a part of the WMO UAS-Demonstration Campaign. In this campaign, routine radiosonde observation using iMS-100 by Automated Radiosonde System at Tateno station was done by JMA's Aerological Observatory targeting 00 and 12 UTC. The data was used to validate the drone-born atmospheric data. JMA's Aerological Observatory made observations and provided the data. This data can be provided only for evaluating WMO UAS-DC drone meteorological data.
DOI: 10.17592/001.2024061105
title: Continuous wind measurements by a UHF wind profiler during the WMO UAS-DC at Meteorological Research Institute, Japan

description: Meteorological drone profiling was made at the Meteorological Research Institute (MRI) / Japan Meteorological Agency (JMA), Tsukuba City, Japan, from 1 March to 30 April 2024 as a part of the WMO UAS-Demonstration Campaign. In this campaign, continuous vertical wind measurements (e.g., wind speed and direction) from 150 to 5200 m with 42 layers were made by a UHF (1.3 GHz) wind profiler (LAP3000, Scintec). MRI/JMA operated the instrument and provided the data. This data can be provided only for evaluating WMO UAS-DC drone meteorological data.
DOI: 10.5281/zenodo.13346062
title: The identified boulders from the LCAM DOM image and information on all source craters

description: The derived data from the manuscript titled 'Oblique impact adjacent to Chang’E-5 sampling site: Fine-scale analysis and implication on the provenance of returned samples'.
DOI: 10.5281/zenodo.13938488
title: Implementation of a long-wavelength model for parallel magnetic fluctuations in the global GENE code

description: The data presented contains the input parameter files used to reproduce the results of the associated work with the GENE code (https://genecode.org/)
DOI: 10.6084/m9.figshare.27196350.v1
title: <i>Cannabis sativa</i> L. (Pink pepper) synteny result data set

description: BLASTp : v.2.12.0, MCScanX : https://github.com/wyp1125/MCScanX. Basic parameter.<i>Ziziphus jujuba</i> : RefSeq GCF_031755915.1<i>Humulus lupulus</i> : RefSeq GCF_963169125.1cs1 ~ cs10 : <i>Cannabis sativa </i>L. cv. Pink Pepper chromosome number.zj1 ~ zj12 : <i>Ziziphus jujuba</i> chromosome number.hl1 ~ hl10 : <i>Humulus lupulus</i> chromosome number.
DOI: 10.15468/w96h3j
title: Global Register of Introduced and Invasive Species - Armenia

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.17592/001.2024061103
title: Continuous cloud measurements by a lidar ceilometer during the WMO UAS-DC at Meteorological Research Institute, Japan

description: Meteorological drone profiling was made at the Meteorological Research Institute, Tsukuba City, Japan, from 1 March to 30 April 2024 as a part of the WMO UAS-Demonstration Campaign. In this campaign, continuous cloud structures (e.g., cloud base height and linear depolarization ratio) were observed by a lidar ceilometer CL61, Vaisala).
DOI: 10.17592/001.2024061104
title: Continuous wind measurements by a Doppler lidar during the WMO UAS-DC at Meteorological Research Institute, Japan

description: Meteorological drone profiling was made at the Meteorological Research Institute, Tsukuba City, Japan, from 1 March to 30 April 2024 as a part of the WMO UAS-Demonstration Campaign. In this campaign, continuous vertical wind measurements (e.g., wind speed and direction) from near surface to 300m were made by a Doppler lidar (WINDCUBE, Vaisala).
DOI: 10.17632/7fjtft7dzn.1
title: Eimeria tenella 21 day old sporozoites - coding transcriptome

description: Supporting data for Kruth et al., 2024. Development of a molecular assay for the determination of Eimeria tenella oocyst viability. Parasitology Research, Accepted 29 November 2024 
(DOI: 10.1007/s00436-024-08429-1)

HI.5207.007.NEBNext_dual_i7_G12---NEBNext_dual_i5_G12.1H1A_R1.rar (compressed FASTQ)
 --&gt; Sporozoites from oocysts stored for 21 days at room temperature (21 C); heat stimulated (to 41 C) for 90 minutes prior to RNA extraction

HI.5207.007.NEBNext_dual_i7_H12---NEBNext_dual_i5_H12.1R4A_R1.rar (compressed FASTQ)
 --&gt; Sporozoites from oocysts stored for 21 days at room temperature (21 C); held at steady state prior to RNA extraction
DOI: 10.17632/7grhw5tv7n.6
title: ERCPMP-v5: An Endoscopic Image and Video Dataset for Recognition of Colorectal Polyps Morphology and Pathology

description: ERCPMP-v5 is an Endoscopic Image and Video Dataset for Recognition of Colorectal Polyps Morphology and Pathology. This dataset contains demographic, morphological and pathological data, endoscopic images and videos of 217 patients (More than 430 Anonymized Images & Videos) with colorectal polyps. Morphological data is included based on the latest international gastroenterology classification references such as Paris, Pit and JNET classification. Pathological data includes the diagnosis of the polyps including Tubular, Villous, Tubulovillous, Hyperplastic, Serrated, Inflammatory and Adenocarcinoma with Dysplasia Grade & Differentiation.
ERCPMP is prepared and organized by a team of Gastroenterology, Hematology, Oncology and Artificial Intelligence Experts. 
ERCPMP-v5 is the current version of this dataset and in the later versions, the morphological and pathological data, images and videos will be completed. The latest version and more information is also available in DataBioX via: https://databiox.com
DOI: 10.17632/7m26pw6wvk.1
title: Eimeria tenella 42 day old sporozoites - coding transcriptome

description: HI.5207.007.NEBNext_dual_i7_B12---NEBNext_dual_i5_B12.4HC_R1.rar (compressed FASTQ)
--&gt; Sporozoites from oocysts stored for 42 days at room temperature (21 C); heat stimulated (to 41 C) for 90 minutes prior to RNA extraction
HI.5207.007.NEBNext_dual_i7_A12---NEBNext_dual_i5_A12.4RD_R1.rar (compressed FASTQ)
--&gt; Sporozoites from oocysts stored for 42 days at room temperature (21 C); held at steady state prior to RNA extraction
DOI: 10.17632/8dns3xbckv.1
title: IoT-DH Dataset

description: The IoT DDoS Honeypot Dataset is a comprehensive collection of data designed to enhance our understanding of Distributed Denial of Service (DDoS) attacks targeting Internet of Things (IoT) devices. This dataset likely includes a diverse range of information, such as network traffic logs, packet captures, and system-level data, generated during the operation of IoT honeypots. The dataset aims to capture the tactics, techniques, and procedures employed by malicious actors when attempting to compromise and overwhelm IoT devices with traffic, leading to denial of service. The collected data comprises information from the Internet of Things (IoT), obtained through a honeypot—a system intentionally designed to attract cyberattacks and unveil the strategies, methods, and procedures employed by attackers. The main goal of acquiring this data is to assist in monitoring attack traffic, identifying potential threats, and analyzing the techniques and approaches used by assailants. This information is logged in the PCAP data format and later converted into a CSV file for convenient data access. Within this dataset, there are 10 key attributes provided for use, which encompass dt, dur, dur_nsec, tot_dur, pktrate, protocol, port_no, tx_kbps, rx_kbps, tot_kbps, and label.
DOI: 10.17632/9sxdykm8s4.4
title: Improving the Scopus and Aurora queries to identify research that supports the United Nations Sustainable Development Goals (SDGs) 2021

description: The United Nations Sustainable Development Goals (SDGs) challenge the global community to build a world where no one is left behind.

Since 2018, Elsevier have generated SDG search queries to help researchers and institutions track and demonstrate progress towards the targets of the United Nations Sustainable Development Goals (SDGs). At the end of 2018, Elsevier worked on 2 versions of the SDG queries. One version was created by the Elsevier Analytical Services group and another by the Science-Metrix group, who had recently become part of Elsevier. At that time Science-Metrix was creating queries for 5 of the 16 SDGs, as part of pro-bono work for UNESCO.

In 2020 inspired by the earlier queries, Elsevier, through its Science-Metrix group, used a new approach to mapping publications to the SDGs. Taking customer feedback into account, they significantly increased the number of search terms used to define each SDG. Those queries were then complemented by a machine learning model, which helped increase the recall by approximately 10%.

As a result, this year’s “Elsevier 2021 SDG mapping” captures on average twice as many articles as the 2020 version, while keeping precision above 80%. The mapping also has a better overlap with SDG queries from other independent projects. Times Higher Education (THE) are using the “Elsevier 2021 SDG mapping” as part of their 2021 Impact Rankings.

The documentation below describes the methods used and shares the queries. For each SDG, you can download the query as a text file, along with an html file that describes the methodology used to create the search query, plus additional information such as the most influential keyphrases and journals. It also breaks down the query into digestable chunks. A separate folder contains the methodology for the machine learning component, along with a sample of the top 100 keyphrases per SDG and a stratified sample of 8,000 EIDs that the model identified arcoss the SDGs.
DOI: 10.17632/cmpsyncmmk.1
title: CAMSL Dataset: Smart Meter Data under Time-Of-Use Tariffs in Japan

description: CAMSL is the first public dataset for a Time-Of-Use (TOU) tariff intervention study using smart-meter data including pre, during and post TOU intervention periods. It includes 1423 households (1023 TOUusers and 400 Non-TOU users) in Tokyo between 1st July 2017 and 31st December 2018 (18 months). The dataset also includes raw data of 3337 customers who did not participate in the TOU trial. Each day has 48 half-hourly data points for energy consumption from a smart meter and each household has 579 days between 1 July 2017 to 31 December 2018, comprising a total of 27792 data points for electricity consumption obtained at each household for this dataset. The uniqueness of this dataset is the included online engagement data recorded via web-application usage, which enables further studies related to gamification effects. consumption_data.zip: half-hourly consumption data from 1st June 2017 to 31st December 2018 customer_info.csv: customer information (house_type, number_of_residents, tou) TOU users == 1 Control users == 0 As for the selection of Control users, please refer to the article. web_info.csv: web activity information (for TOU customers) (sessions, average_session_duration, bounce_rate) already padded if the value is missing. temperature_Tokyo.csv: hourly temperature data in Tokyo from 1st June 2017 to 31st December 2018 holidays.csv: Japanese national holidays non_tou.csv.gz: raw data of consumption of total 3337 customers who did not participate in the TOU trial
DOI: 10.17632/gsm7sd9gh7.1
title: Eimeria tenella 35 day old sporozoites - coding transcriptome

description: HI.5207.007.NEBNext_dual_i7_C12---NEBNext_dual_i5_C12.3RE_R1.rar (compressed FASTQ)
 --&gt; Sporozoites from oocysts stored for 35 days at room temperature (21 C); held at steady state prior to RNA extraction
HI.5207.007.NEBNext_dual_i7_D12---NEBNext_dual_i5_D12.3HF_R1.rar (compressed FASTQ)
--&gt; Sporozoites from oocysts stored for 35 days at room temperature (21 C); heat stimulated (to 41 C) for 90 minutes prior to RNA extraction
DOI: 10.17909/z91h-8a19
title: VCC 615 ACS imaging

description: HST/ACS Imaging of Virgo Cluster galaxy VCC 615 in F814W and F475W.
DOI: 10.18419/darus-4003
title: Your visualisations are going places: Performance data for scientific visualisation on gaming consoles

description: The data set contains performance data (mainly frame times) for rendering spherical glyphs and scalar fields on Xbox Series consoles, mobile game consoles and a reference PC with different GPUs.
DOI: 10.24432/c53w3x
title: Communities and Crime
DOI: 10.24432/c5pc8x
title: Communities and Crime Unnormalized
DOI: 10.3334/cdiac/spruce.005
title: SPRUCE Peat Physical and Chemical Characteristics from Experimental Plot Cores, 2012

description: This data set reports the results of physical and chemical analyses of peat core samples from the SPRUCE experimental study plots located in the S1-Bog.  On August 13-15, 2012, a team of SPRUCE investigators and collaborators collected core samples of peat in the SPRUCE experimental plots. The goal was to characterize the biological, physical, and chemical characteristics of peat, and how those characteristics changed throughout the depth profile of the bog, prior to the initialization of the SPRUCE experimental warming and CO2 treatments.  Cores were collected from 16 experimental plots; samples were collected from the hummock and hollow surfaces to depths of 200-300 cm in defined increments. Three replicate cores were collected from both hummock and hollow locations in each plot. The coring locations within each plot were mapped
DOI: 10.5066/p9e5k160
title: A comprehensive list of non-native species established in three major regions of the United States: Version 3.0

description: Invasive species are a subset of non-native (or nonindigenous) species, and knowing what species are non-native to a region is a first step to managing invasive species. This is an update to the dataset &amp;amp;amp;amp;quot;First comprehensive list of non-native species established in three major regions of the United States&amp;amp;amp;amp;quot; supporting a USGS Open File Report by the same name published on 2018-10-17. Version 2.0 of the non-native species list, as of 2019-09-09, contains 12,986 records and 11,174 unique names: 563 taxa for Alaska, 5,870 taxa for Hawaii, and 6,553 taxa for the conterminous United States. It is taxonomically refined, has tighter control of establishment status, and now includes approximate dates of introduction for 20% of its records. The list draws from 1,276 authoritative sources, was reviewed by or received input from 19 invasive species scientists, and continues to be updated with version 3.0 anticipated (but not guaranteed) in approximately 6 months. The list has been used to annotate non-native species occurrence records in the U.S. Geological Survey all-species mapping application, Biodiversity Information Serving Our Nation (BISON, https://bison.usgs.gov). For access to the deprecated Version 1.0 documents, see DeprecatedV1.0documents.zip in the attached file section below. A grateful acknowledgement to the following reviewers/contributors (and apologies to anyone we have inadvertently left out): Robert J. Blakemore, Kanagawa Prefectural Museum of Natural History; Gerald (Gerry) Carr, Emeritus Professor of Botany, University of Hawaii; Robert L. Carr, Emeritus Professor of Biology, Eastern Washington University; Jennifer Dean, New York Department of Environmental Conservation; Jonah Evans, Texas Parks and Wildlife Department; Justin Fulkerson, University of Alaska; Pam Fuller, USGS Emeritus, Wetlands and Aquatic Research Center; Alex Lau, SWCA Environmental Consultants; Andrew Liebhold, U.S. Forest Service; Mikey Lutmerding, U.S. Geological Survey; Joe MacGown, Mississippi State University; Walter E. Meshaka, Jr., State Museum of Pennsylvania; Gad Perry, Texas Tech University; Bruce Peterjohn, USGS Patuxent Wildlife Research Center; John Warren Reynolds, Oligochaetology Laboratory, Kitchener, Ontario; Noa Shenkar, Zoology Department, Tel-Aviv University; Billie J. Swalla, University of Washington Friday Harbor Labs. First posted: October 17, 2018 Revised: September 12, 2019
DOI: 10.5067/omhvsrgfx38o
title: SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 8
DOI: 10.5255/ukda-sn-7857-1
title: Low Carbon London Project: Data from the Dynamic Time-of-Use Electricity Pricing Trial, 2013