cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e149441v1
title: Data and code for ``Natural gas policy position of university energy centers relates to their funders''

description: Methane is 28 to 86 times more potent a driver of global warming than CO2 and global methane concentration growth rates have increased linearly since 2004. Yet, the role of fossil fuels and revitalized natural gas extraction and distribution in accelerating methane concentrations is poorly recognized. Here, we examine the policy positioning of university-based energy centers towards natural gas, given their growing influence on climate discourse and policy. We conducted sentiment analysis using a lexicon- and rule-based sentiment scoring tool on 1,168,194 sentences in 1,706 reports from 26 universities, some of which receive their primary funding from the natural gas industry. We found that fossil-funded energy centers are more favorable in their reports toward natural gas than toward renewable energy, and tweets are more favorable when they mention funders by name. Centers less dependent on fossil funding show a reversed pattern with neutral sentiment toward gas and favoring solar and hydro power. <br>
DOI: 10.48443/9e56-pj39
title: Soil temperature (DP1.00041.001)
title: RELEASE-2022

description: Soil temperature is measured at various depths below the soil surface from approximately 2 cm up to 200 cm at non-permafrost sites (up to 300 cm at Alaskan sites). Soil temperature influences the rate of biogeochemical cycling, decomposition, and root and soil biota activity. In addition, soil temperature can impact the hydrologic cycle since it controls whether soil water is in a liquid or solid state. Measurements are made in vertical profiles consisting of up to nine depths in all five instrumented soil plots at each terrestrial site, and presented as 1-minute and 30-minute averages.

Latency:
Data collected in any given month are published during the second full week of the following month.
description: When possible the soil plots were arranged in a transect with the first plot approximately 15-40 m from the tower in the expected dominant airshed. The middle of airshed was used as the transect vector and plot spacing was based on the distance required for surface soil temperature and moisture measurements to be spatially independent at the 1 hectare scale during site characterization (capped at approximately 40 m due to logistical constraints). Soil plots were microsited as necessary to avoid obstacles (e.g., boulders, streams, and paths) and more compact plot layouts were used at small sites. Soil temperature is measured at up to nine depths within each plot, with the mid-point of the shallowest sensors at approximately 2, 6, 16, and 26 cm. Depths for deeper sensors vary among sites and are based on megapit soil horizon data (NEON.DP1.00097) and depth to restrictive feature (see NEON.DOC.003146). Instrumentation: Thermometrics - Climate RTD 100-ohm Probe
DOI: 10.48443/w9nf-k476
title: Relative humidity (DP1.00098.001)
title: RELEASE-2022

description: This data product contains the relative humidity, air temperature, and  dew point/frost point temperature measurements made at all NEON sites. It is reported as 1-minute mean measurements and 30-minute mean values.

Latency:
Data collected in any given month are published during the second full week of the following month.
description: The sensors are installed at the top level of the tower infrastructure, at the soil array and on the aquatic met station at a standard height above ground level. Instrumentation: Vaisala HUMICAP Humidity and Temperature Probe - HMP 155
DOI: 10.5281/zenodo.3922069
title: Templates for FAIRness evaluation criteria - RDA-SHARC ig

description: The SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment with the FAIR principles. It takes considerable time, energy, expertise and motivation. It is imperative to facilitate the processes to encourage scientists to share their data. To that aim, supporting FAIR principles compliance processes and increasing the human understanding of FAIRness criteria – i.e., promoting FAIRness literacy – and not only the machine-readability of the criteria, are critical steps in the data sharing process. Appropriate human-understandable criteria must be the first identified in the FAIRness assessment processes and roadmap. This document is a reusable template that aims to support FAIRification assessment with human understandable criteria. The level of compliance for each criterion can be used to prioritise the most appropriate and sufficient training, support and actions.
DOI: 10.5281/zenodo.3973353
title: RHARM (Radiosounding HARMonization) dataset - subset

description: In the context of the Copernicus Climate Change Service (C3S), a novel approach, named RHARM (Radiosounding HARMonization), has been developed to provide a harmonized dataset of temperature, humidity and wind profiles along with an estimation of the measurement uncertainties for about 650 radiosounding stations globally. The RHARM method is applied to the Integrated Global Radiosonde Archive (IGRA) Version 2 which is the most comprehensive collection of historical and near-real-time radiosonde and pilot balloon observations from around the globe, maintained and distributed by the National Oceanic and Atmospheric Administration’s National Centers for Environmental Information (NCEI). The daily (0000 and 1200 UTC) radiosonde data holdings on 16 standard pressure levels (from 1000 to 10 hPa) from 1978 to present are post-processed or statistically homogenized using the RHARM approach. The applied adjustments are interpolated to all reported significant levels to retain information content contained within each individual ascent profile. The dataset made available here is a subset of RHARM (Radiosounding HARMonization) related to the IGRA radiosonde observations for which adequate metadata exist and a post-processing chain based upon a combination of reference measurements, provided by GRUAN, and comparative performance measurements, collected during the 2010 WMO/CIMO campaign, is applicable. The RHARM algorithm is the first to provide homogenized time series of temperature, relative humidity and wind profiles alongside an estimation of the observational uncertainty for each single observation at each pressure level. A copy of the RHARM dataset is stored in the Copernicus Climate Data Store (CDS) although not publicly available yet. For review purposes only, a subset has been made available here.
DOI: 10.5281/zenodo.7189381
title: HR-GLDD: A globally distributed high resolution landslide dataset

description: HR-GLDD, a high-resolution (HR) dataset for landslide mapping composed of landslide instances from ten different physiographical regions globally: South and South-East Asia, East Asia, South America, and Central America. The dataset contains five rainfall triggered and five earthquake-triggered multiple landslide events that occurred in varying geomorphological and topographical regions.
DOI: 10.6084/m9.figshare.12323732
title: Single particle diffusion in anisotropic MHD turbulence

description: This is ASCII data for Figure 1 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence".<br><br>The figure shows the evolution of mean-square distance from the initial<br>position for three simulations (HNOVIS: incompressible isotropic<br>hydrodynamic turbulence, ANOVIS0: isotropic magnetohydrodynamic<br>turbulence, and ANOVIS3: anisotropic magnetohydrodynamic turbulence). The<br>mean-square distance for the anisotropic MHD simulation ANOVIS3 is<br>separated into distances parallel and perpendicular to the mean magnetic<br>field. Each curve is produced from the average of at least 4<br>independent initial times
DOI: 10.6084/m9.figshare.12323771
title: Two-particle dispersion in anisotropic MHD turbulence

description: This is ASCII data for Figure 3 from Pratt, Busse, Mueller 2020<br>"Lagrangian Statistics for Dispersion in Magnetohydrodynamic<br>Turbulence". The time values are provided with Figure 1.<br><br>The figure shows the evolution of the mean-square relative dispersion in<br>homogeneous isotropic Navier-Stokes turbulence (simulation HNOVIS),<br>homogeneous isotropic MHD turbulence (simulation ANOVIS0), and<br>homogeneous anisotropic MHD turbulence (simulation ANOVIS3). The<br>behavior for pairs with an initial separation of 2 eta_kol<br>is shown (a) for particles initially separated in the direction<br>perpendicular to the mean magnetic field and separation distance<br>perpendicular to the field measured, and (b) for particles initially<br>separated in the direction parallel to the mean magnetic field,<br>separation distance aligned with the mean magnetic field is measured.<br><br>
DOI: 10.6084/m9.figshare.21641522
title: Supplementary Material for: Left perforated colonic tumor with synchronous locally advanced right colonic tumor.

description: Colorectal cancer is one of the most common malignant neoplasms worldwide. Overall mortality is 33%. Synchronous colorectal cancer refers to more than one malignant tumor detected in different segments of the colon, simultaneously or within 6 months of initial diagnosis. The development of colorectal cancer is a multistep process that originates with a genetic mutation leading to a malignant phenotype and generating a growth advantage. Colorectal cancer presents up to 16% of hypermutations, of which 75% are characterized by microsatellite instability which in turn leads to poorer cell differentiation. Patients with synchronous tumors appear to have a higher proportion of microsatellite instability than patients with single tumors. It is presented the clinical case of a 35-year-old man with a perforated left colon tumor and a locally advanced synchronous tumor of the right colon and signs of acute abdomen. The treatment should be based on the location of the synchronous tumors, stage at the time of approach, and the patient's condition. However, when faced with a complication secondary to colonic cancer, adhering to the principles of oncological surgery can be overcome by the nature of the emergency.
DOI: 10.6084/m9.figshare.21673412
title: Supplementary Material for: The Potential of Transcranial Alternating Current Stimulation to Alleviate Dual-Task Gait Costs in Older Adults: Insights from a Double-Blinded Pilot Study

description: <b><i>Background:</i></b> The performance of an attention-demanding task while walking, i.e., dual-tasking, leads to dual-task costs (e.g., reduced gait speed) in older adults. Previous studies have shown that dual-task costs in gait are associated with future falls and cognitive decline. According to the communication through coherence hypothesis, transcranial alternating current stimulation (tACS) might help alleviate this problem. <b><i>Objective:</i></b> The aim of this study was to examine the effects of a single session of theta-tACS targeting the left fronto-parietal network (L-FPN) on dual-task walking and cognitive function compared to sham stimulation and transcranial direct current stimulation (tDCS) targeting the left dorsolateral prefrontal cortex, a node within the L-FPN. <b><i>Methods:</i></b> Twenty older adults completed a four-visit, double-blinded, within-subject, cross-over study in which usual-walking, dual-task walking, and cognitive function were evaluated before and immediately after 20 min of tACS, tDCS, or sham (order randomized) stimulation. Dual-task costs to gait speed (primary outcome) and other measures were analyzed. <b><i>Results:</i></b> The dual-task cost to gait speed tended to be lower (i.e., better) after tACS (<i>p</i> = 0.067, Cohen’s d = 0.433∼small); tDCS significantly reduced this dual-task cost (<i>p</i> = 0.012, Cohen’s d = 0.618∼medium), and sham stimulation had no effect (<i>p</i> = 0.467). tACS significantly reduced the dual-task cost to step length (<i>p</i> = 0.037, Cohen’s d = 0.502∼medium); a trend was seen after tDCS (<i>p</i> = 0.069, Cohen’s d = 0.443∼small). No statistical differences were found for other measures of gait or cognitive function. <b><i>Conclusions:</i></b> The positive effects of tACS on dual-task gait speed and step length were roughly similar to those seen with tDCS. These results suggest that tACS affects the fronto-parietal network and, similar to tDCS, tACS may improve dual-tasking. Nonetheless, to achieve larger benefits and differentiate the effects of tACS and tDCS on brain function and dual-task walking in older adults, other stimulation montages and protocols should be tested.
DOI: 10.6084/m9.figshare.5803152
title: HELCATS HCME_WP2_V03

description: The FP7 Heliospheric Cataloguing, Analysis and Technique Service (HELCATS) project capitalises on European expertise in heliospheric imaging built up over the last decade, particularly by lead involvement in NASA’s STEREO mission, whilst also exploiting the vast wealth of long established European expertise in such areas as solar and coronal imaging, as well as the interpretation of in-situ and radio measurements of solar wind phenomena.The HCME_WP2 is a catalogue of manually identified CME events observed by the STEREO A and B heliospheric imaging cameras. This catalogue underpins the other work within the project by providing a complete list of CMEs detected by HI. These are then assessed and modelled using different techniques as part of other work packages within the project.Version 05 of this catalogue is the latest formal release and covers the period from April 2007 to September 2017. Event IDs are tied to the corresponding event and will not change in future versions even if events are added or removed.
DOI: 10.5281/zenodo.2537721
title: Index of supplementary files from "Perils of Zero-Interaction Security in the Internet of Things"

description: This record serves an an index to the other dataset releases that are part of the paper "Perils of Zero Interaction Security in the Internet of Things" by Mikhail Fomichev, Max Maass, Lars Almon, Alejandro Molina, Matthias Hollick, in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol. 3, Issue 1.

We have chosen to split the dataset into several parts to meet Zenodo size requirements and make it easier to find specific pieces of data. In total, the following datasets exist:


	<strong>Raw data</strong><br>
	These datasets contain raw data, as collected directly from the devices doing the recording. It includes readings from several different sensors, as well as observed WiFi and BLE signals with their signal strength, and in one case, audio recordings. This raw data can be used to repeat our own experiments, or to apply different schemes to it to have a baseline for comparisons. Four datasets exist, mapped to the three scenarios discussed in the paper:
	
		Car Scenario
		Office Scenario
		Mobile Scenario + audio data in separate deposit (with access control)
	
	
	<strong>Processed Data</strong><br>
	The processed data is generated from the raw data using the processing code (which can be found in the code repository). The resulting data contains computed features from the five papers under investigation plus derived machine learning datasets, and can be used to see in detail how the schemes behave in specific situations. These datasets tend to be fairly large. Three datasets exist:
	
		Car Scenario
		Office Scenario
		Mobile Scenario
	
	
	<strong>Result Data</strong><br>
	Finally, the result datasets contain the results of the evaluation (i.e., the computed error rates and generated plots, plus associated caches). The code used to derive these results can once again be found in the source code repository. Here, five datasets exist, one for each investigated paper:
	
		Karapanos et al.
		Schürmann and Sigg
		Miettinen et al.
		Truong et al.
		Shrestha et al.
DOI: 10.6084/m9.figshare.12377135
title: Metadata record for: Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types

description: This dataset contains key characteristics about the data described in the Data Descriptor Dataset of segmented nuclei in hematoxylin and eosin stained histopathology images of ten cancer types. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.17188/1354963
title: Materials Data on Te2Mo by Materials Project

description: MoTe2 is Molybdenite-like structured and crystallizes in the hexagonal P-6m2 space group. The structure is two-dimensional and consists of one MoTe2 sheet oriented in the (0, 0, 1) direction. Mo4+ is bonded to six equivalent Te2- atoms to form distorted edge-sharing MoTe6 pentagonal pyramids. All Mo–Te bond lengths are 2.74 Å. Te2- is bonded in a 3-coordinate geometry to three equivalent Mo4+ atoms.
DOI: 10.5281/zenodo.5821125
title: Source code and data for Ou et al. (2021) Updates to Paris climate pledges improve chances of limiting global warming to well below 2°C

description: There are two folders in this repository. The <strong>GCAM-model</strong> folder contains the version of GCAM5.3 used to estimate emission pathways for this analysis. The <strong>data</strong> folder contains source data for our main results. Please check readme.pdf and our original paper for details.
description: add omitted files in v1.
DOI: 10.5281/zenodo.6304000
title: Spectroscopic data from PHS (lab characterization)

description: Visible and Near infrared spectroscopic data from PHS deposit taken in lab condition.
DOI: 10.6084/m9.figshare.16415907
title: Project data

description: iSALE input parameters, model set-up info, simulation info from Marchi et al (2020) and final crater sizes.<br>
DOI: 10.17188/1194174
title: Materials Data on WO3 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.25364/wegc/wps7.1:2019.1
title: WegenerNet climate station network Level 2 data
title: version 7.1 (2007–2018)

description: The WegenerNet weather and climate station network dataset provides highly space-time resolved measurements of meteorological parameters for two regions in the state of Styria, Austria. The WegenerNet Feldbach region is located in the southeast of Styria and has an extent of about 22 km x 16 km. It comprises 155 meteorological stations which are placed on a tightly spaced grid, with an average station density of 1 station per ~2 km². Data are available at a temporal sampling rate of 5 min. The WegenerNet Johnsbachtal is a smaller "sister network" of the WegenerNet Feldbach region. It comprises 11 meteorological and one hydrographic station located in an alpine environment, with station altitudes ranging from below 600 m to over 2100 m. The network extends over an area of about 16 km x 17 km and data are collected at 10 min sampling rate. This dataset contains station time series (as .csv files) for a large number of meteorological parameters and gridded data (as NetCDF files) for air temperature, relative humidity, precipitation, heat index, wind speed and direction, and wind gust speed and direction.
DOI: 10.5281/zenodo.3708278
title: Database of mechanism of action paths for selected drug-disease indications

description: Mechanistic paths that lead from drug to disease in a heterogeneous network. Version 1.1.0 includes a new tab `metapaths_biolink` where the majority of node and edge types have been mapped to entities and relationship slots in the biolink model. Concepts unable to be mapped at this time are represented in ALL CAPS. JSON version of the paths available on GitHub
DOI: 10.5281/zenodo.3992541
title: Spectroscopic and XRD data from PHS

description: Visible and Near infrared as well as Mid infrared spectroscopic data from PHS deposit along with their XRD analysis.
DOI: 10.5281/zenodo.6981719
title: NMR_T2_evaporation-of-water_porous-media

description: Nuclear magnetic resonance (NMR) transversal relaxation time T2 during evaporation of water from porous media was collected. Both homogeneous and inhomogeneous porous media was applied in experiments. Homogeneous porous media was made of uniform-sized glass beads with diameter at either 25 μm or 150 μm. Inhomogeneous porous media included two parts with top and bottom part made of fine and coarse beads respectively. By adjusting the proportion of each part, multiple inhomogeneous porous media was made. The temperature during experiment was controlled at 50 °C and T2 data was recorded every 30 minutes (individual experiment lasted from 3 to 5 days). Carr-Purcell-Meiboom-Gill (CPMG) sequence was applied in data recording and parameters were set at TE=0.2 ms and NECH=18000. Each recording collects 5000 pairs of T2 and corresponding signal amplitude, based on which the transient water content and distribution could be obtained.
DOI: 10.6073/pasta/0cc0072a1d9a32b1fcd6f44b65d0a604
title: Data for “Herbivory damage but not plant disease under experimental warming is dependent on weather for three subalpine grass species”, Rocky Mountain Biological Laboratory, Gothic, Colorado, 2015-2017.

description: Both theory and prior studies predict that climate warming should increase attack rates by herbivores and pathogens on plants. However, past work has often assumed that variation in abiotic conditions other than temperature (e.g., precipitation) do not alter warming responses of plant damage by natural enemies. Studies over short time periods span low variation in weather, and studies over long-time scales often neglect to account for fine-scale weather conditions. Here, we used a 20+ year field warming experiment to investigate if warming affects herbivory and disease are dependent on variation in ambient weather observed over three years. We studied three common grass species in a subalpine meadow in the Colorado Rocky Mountains, USA. We visually estimated herbivory and disease every two-weeks during the growing season and evaluated weather conditions during the previous two- or four-week time interval (two-week average air temperature, two- and four-week cumulative precipitation) as predictors of the probability and amount of damage. Herbivore attack was 13% more likely and amount of damage was 29% greater in warmed plots than controls across the focal species, but warming treatment had little affect on plant disease. Herbivory presence and damage increased the most with experimental warming when preceded by wetter, rather than drier, fine-scale weather, but preceding ambient temperature did not strongly interact with elevated warming to influence herbivory. Disease presence and damage increased, on average, with warmer weather and more precipitation regardless of warming. The effect of warming over reference climate on herbivore damage is dependent on and amplified by fine-scale weather variation, suggesting more boom-and-bust damage dynamics with increasing climate variability. However, the mean effect of regional climate change is likely reduced monsoon rainfall, for which we predict a reduction in insect herbivore damage. Plant disease was generally unrelated to warming or weather, which may be a consequence of our coarse disease estimates that did not track specific pathogen species or guilds. The results point towards temperature as an important but not sufficient determinant and regulator of species interactions, where precipitation and other constraints may determine the effect of warming.