cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25581/spruce.092/1784060
title: SPRUCE Vertical Profiles of CO2 and H2O Concentrations in Air in Experimental Plots Beginning in 2015

description: This dataset provides a record of hourly average CO2 and H2O concentrations in air at 4 vertical locations (0.5, 1, 2, and 4 m above ground level (agl)) on the central tower location for each of 13 SPRUCE experimental plots. Ten plots have enclosures (plots 4, 6, 8, 10, 11, 13, 16, 17, 19, and 20) and three plots (5, 7 and 21) are ambients without enclosures. Data are included for measurement periods beginning in 2015 and extend throughout the whole ecosystem warming (WEW) manipulations for the SPRUCE Project (Hanson et al. 2016, 2017). In August 2015, WEW was initiated at 5 warming levels (+0, +2. +4.5, +6.75 and +9 °C) with 2 plots per warming level. DPH measurements were underway before the initiation of WEW heating treatments and both are expected to operate through 2025. Elevated CO2 treatments were initiated within 5 experimental plots (Plots 4, 10, 11, 16 and 19) in June of 2016.All measurements were made at the 8.1-ha S1 bog forest site in northern Minnesota, 40 km north of Grand Rapids, in the USDA Forest Service Marcell Experimental Forest (MEF).
DOI: 10.5066/p9ca6xp8
title: Data release: Process-based predictions of lake water temperature in the Midwest US

description: Climate change has been shown to influence lake temperatures in different ways. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes, we focused on improving prediction accuracy for daily water temperature profiles in 7,150 lakes in Minnesota and Wisconsin during 1980-2019. The data are organized into these items: Spatial data - A lake metadata file, and one shapefile of polygons for all 7,150 lakes in this study (.shp, .shx, .dbf, and .prj files) Model configurations - Model parameters and metadata used to configure models (1 JSON file, with metadata for each of 7,150 lakes, and one zip file with each lake's glm2.nml file) Temperature observations - Data formatted as model inputs for training, calibrating, or evaluating temperature models Model inputs - Data used to drive predictive models (35 zip files with ice-flags; 35 zip files with daily meteorological data) Prediction data - Predictions calibrated and uncalibrated PB models (35 zip files) Predicted habitat - Data formatted for ecological use This study was funded by the Department of the Interior Northeast and North Central Climate Adaptation Science Centers. Access to computing facilities was provided by USGS Core Science Analytics and Synthesis Advanced Research Computing, USGS Yeti Supercomputer (https://doi.org/10.5066/F7D798MJ).
DOI: 10.5281/zenodo.10366932
title: Drag force on submerged flexible vegetation in an open-channel flow
DOI: 10.5281/zenodo.10538456
title: Supplementary Data for Manuscript "Examining the mid to long-term variability in saturated hydraulic conductivity of sandy soils and its influencing factors under constant head test in the laboratory"
DOI: 10.5281/zenodo.11632188
title: Supplementary Material from: Extreme mantle heterogeneity revealed by geochemical investigation of in-situ lavas at the central Mohns Ridge, Arctic Mid-Ocean Ridges

description: Geochemical data (major and trace elements + Pb, Sr and Nd isotopes) from the Mohns and Knipovich Ridges generated during the study: Extreme mantle heterogeneity revealed by geochemical investigation of in-situ lavas at the central Mohns Ridge, Arctic Mid-Ocean Ridges
DOI: 10.5281/zenodo.13149420
title: Mechanism for Vipp1 spiral formation, ring biogenesis and membrane repair

description: Here, we collect an image dataset of Vipp1 polymerization dynamics on supported lipid bilayers using atomic force microscopy (AFM). A JPK NanoWizard Ultraspeed AFM (Bruker and JPK BioAFM) equipped with USC-F0.3-k0.3-10 cantilevers with spring constant of 0.3N nm−1, resonance frequency of about 300 kHz (Nanoworld), was employed for image acquisition. The AFM was operated in tapping mode with a cantilever oscillation frequency near to 150kHz. Both topographic and phase images were analysed using JPKSPM Data Processing, ImageJ, and WSxM software.
DOI: 10.5281/zenodo.13923371
title: H5N1 Peninsula Valdes 2023
DOI: 10.5281/zenodo.6773028
title: Co-Creation Database

description: The Co-Creation Database groups scientific references on co-creation. It mainly contains the title, abstract, DOI, and authors. Two versions are available: <strong>Version 1.5</strong> includes 13,501 references, from PubMed, ProQuest and CINAHL, from January 1970 to November 2021. Available in RIS (Research Information Systems) format and CSV (CSV UTF-8). <em>Quality metrics: 9.38% false negatives; 20.35% false positives.</em> <strong>Version 2.0 </strong>is an update from a classification model trained with version 1.5. It includes references from Scopus and Web of Science from January 1970 to March 2023, with an update of the previous databases used for version 1.5 from December 2021 to March 2023. Two CSV (CSV UTF-8) files are available. The "Co-Creation Database v2.0 - full.csv" combines the last version, 1.5 and the update, with 52,821 references. The file "Co-Creation Database v2.0 - adding.csv" has only the update, with 39,219 references. <em>Quality metrics: 13.98% false negatives; 36.43% false positives.</em> <strong>To perform your search:</strong> we recommend you extend your search to the title and abstract since some data are initially missing. The RIS file can be uploaded to any references manager (e.g., Zotero, Mendeley, etc.), where you will have the feature to search. For example, here is the link for advanced search instructions in Zotero: https://www.zotero.org/support/searching. Additionally, You can run a Boolean search for CSV files using a Python script. <strong>To improve the database in further updates: </strong>we make available an online form to submit any irrelevant references you may find or to submit any relevant reference not inside the last version. The form is available at the following link: https://forms.office.com/e/6vu9X0kBcw It was produced as part of Health CASCADE, a Marie Skłodowska-Curie Innovative Training Network funded by the European Union's Horizon 2020 research and innovation programme under Marie Skłodowska-Curie grant agreement n° 956501. The work is made available under the terms of the license CC-BY-NC-4.0 (Creative Common Attribution - NonCommercial - NoDerivatives 4.0 International).
DOI: 10.6084/m9.figshare.25334854.v1
title: Site-scale Water Table Level at a Moderately Degraded and Heavily Degraded Site within a Peat Swamp Forest in the Northern Peruvian Amazon.

description: This dataset contains site-scale water table level (WT) data at a moderately degraded (PE-mDeg) and heavily degraded (PE-hDeg) site within a peat swamp forest in the Northern Peruvian Amazon. The spatially stratified WT data from Hergoualc’h et al. (2020) was site-scaled using the following hummock to hollow relative proportions for the PE-mDeg and PE-hDeg sites:PE-mDegLive-hummock: 0.08Live-hollow: 0.79Cut-hummock: 0.01Cut-hollow: 0.12PE-hDegLive-hummock: 0.02Live-hollow: 0.59Cut-hummock: 0.02Cut-hollow: 0.38This data was used to validate a WT-retrieval model based on Landsat 8 surface reflectance data. Therefore, in addition to the in-situ WT measurement dates, the acquisition dates of each Landsat 8 image are provided as well.
DOI: 10.15468/dl.3kv29u
title: Occurrence Download

description: A dataset containing 1616 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nothofagus pumilio (Poepp. & Endl.) Krasser"
 ]
}

 The dataset includes 1616 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061452-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/zce3-jp96
title: The Lung Image Database Consortium image collection (LIDC-IDRI)

description: The Lung Image Database Consortium image collection (LIDC-IDRI) consists of diagnostic and lung cancer screening thoracic computed tomography (CT) scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis. Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and accompanied by the Food and Drug Administration (FDA) through active participation, this public-private partnership demonstrates the success of a consortium founded on a consensus-based process.Seven academic centers and eight medical imaging companies collaborated to create this data set which contains 1018 cases. Each subject includes images from a clinical thoracic CT scan and an associated XML file that records the results of a two-phase image annotation process performed by four experienced thoracic radiologists. In the initial blinded-read phase, each radiologist independently reviewed each CT scan and marked lesions belonging to one of three categories ("nodule or =3 mm," "nodule 3 mm," and "non-nodule or =3 mm"). In the subsequent unblinded-read phase, each radiologist independently reviewed their own marks along with the anonymized marks of the three other radiologists to render a final opinion. The goal of this process was to identify as completely as possible all lung nodules in each CT scan without requiring forced consensus.
DOI: 10.25452/figshare.plus.25512334
title: ChinaExtreDroEventSet (v1.0): Extreme meteorological drought events over China (1951-2022)

description: The Dataset and Event list prefixed with <i>ChinaExtreDroEventSet(v1.0)_</i> are the supplement files of the manuscript entitled “Extreme Meteorological Droughts over China (1951—2022): event detection, migration pattern, and diversity of temperature extremes”. The manuscript has been submitted to <i>Advanced in Atmospheric Sciences</i> (AAS) for the second-round review.<br>(1) Dataset<i>ChinaExtreDroEventSet(v1.0)_01_Dataset_AAS_LiuZhou2024_20240330.zip</i> contains data files of Extreme Meteorological Droughts over China (1951—2022).The first-level file name (e.g., Dro-06_P0_m1p0_40pts) consists of a drought event order (e.g., Dro-06), patch code (e.g., P0), parameter configuration for event detection (e.g., m1p0_40pts). Regarding patch code, <i>P0</i> means the unique patch representing the drought event, while <i>Pi</i> (i=1,2,.., N) are separated patches belonged to a complete drought event. Regarding parameter configuration for event detection, (e.g., m1p0_40pts). The string <i>m1p0</i> represents that the input 3D discrete gridded dataset for the DBSCAN algorithm, with SPAI less than −1.0. The string <i>40pts</i>, one significant parameter (i.e., min_samples) of the DBSCAN algorithm (Ester et al., 1996), is the number of sample points within a given search distance. Details are provided in Liu et al. (2023, AOSL).Regarding the specific files of each drought event, the formats and meanings are identical to those in the Glo3DHydroClimEventSet(v1.0) database (Liu and Zhou, 2023).<br>(2) Event ListThe ChinaExtreDroEventSet(v1.0)_02_EventList_AAS_LiuZhou2024_20240330.docx list metrics and ranks of all drought events, as part of the manuscript.
DOI: 10.3886/icpsr38879.v4
title: National Wellbeing Survey, United States, 2021
title: Version 4

description: The National Wellbeing Survey (NWS) is a population-based survey on the wellbeing of adults aged 18 to 64 in the United States. Specific survey domains include psychological well-being, social relationships and support, physical health, mental health, health behaviors, COVID-19 experiences and impacts, socioeconomic measures, political orientation, and demographic measures.
description: The purpose of this study was to develop an overall understanding of wellbeing of adults aged 18 to 64 in the United States.
description: Sample participants were recruited online through Qualtrics Panels. The sample design included an oversample of rural residents; 28.3 percent of respondents (N = 1,136) reside in a non-metropolitan county.
description: The variables in this study pertain to psychosocial wellbeing, social relationships and support, participation in social activities, physical health, mental health, health behaviors, health care use, employment quality and experiences, COVID-19 experiences, socioeconomic measures, political orientation, and demographic measures (race/ethnicity, sex/gender, and age).
description: A post-stratification final person weight (<strong>FINAL_WGT</strong>) is included to make the analyses nationally representative of the United States working-age population by age, sex, race, Hispanic ethnicity, educational attainment, and rural-urban continuum. Educational attainment was not incorporated into the weight for respondents ages 18-24. Because of the rural oversample built into the sampling design, users should apply the weight to all analyses.
description: Response Rates: Of the 11,580 Qualtrics Panel members who accessed the landing page and reviewed the informed consent, 4,014 met the age eligibility criteria and data quality threshold, resulting in a completion rate of 40.4 percent.
description: Presence of Common Scales: 
Diemer Satisfaction with Life Scale
Patient Health Questionnaire-4 (PHQ-4)
Brief Resilience Scale (BRS)
description: Non-probability, opt-in, online panel of 4,014 adults in the United States administered through Qualtrics Panels.
description: Datasets: 
DS0: Study-Level Files
DS1: Public-Use Data
DS2: Restricted-Use Data
description: Noninstitutionalized adults in the United States who ranged in age from 18 to 64 years old and who were able to read English. Smallest Geographic Unit: County
description: web-based surveyThe restricted-use version of the data include geographic identifiers and variables for states (N = 51) and counties (N = 1,430). The public-use data have these variables masked.For additional information on this study, please visit the Syracuse University Maxwell School of Citizenship and Public Affairs website.
DOI: 10.5066/f7f76bss
title: Data Release for Secondary Hydrogeologic Regions of the Conterminous United States (ver. 2.0, June 2022)

description: The U.S. Geological Survey (USGS) previously identified 62 Principal Aquifers (PAs) in the U.S., with 57 located in the conterminous states. The USGS characterized areas outside of PAs as ?other rocks;? other rocks account for about 40% of the area of the conterminous states. This paper subdivides the large area identified as other rocks into Secondary Hydrogeologic Regions (SHRs). SHRs are defined as areas of other rock within which the rocks are of comparable geologic age, lithology, and relationship to the presence or absence of underling PAs or overlying glacial deposits. A total of 69 SHRs were identified. SHRs were identified in two phases. In the first phase, Other Rock Regions (ORRs) were defined as regions underlain by geologic units of comparable age, lithology, and geologic or physiographic setting. ORRs were an intermediate product. In the second phase, ORRs were evaluated relative to the presence of PAs that may underlie the ORRs and (or) glacial deposits that may overly the ORRs. The presence or absence of stream-valley aquifers overlying an SHR was not considered, which is consistent with the identification of PAs. Identification and mapping of ORRs and SHRs was facilitated using digital databases and geographic information system tools. The SHRs were classified using three criteria: (1) presence or absence of underlying PAs or overlying glacial deposits, (2) primary lithology, and (3) geologic province and subprovince. The number and size of SHRs identified in this paper are comparable to the number and size of PAs previously identified by the USGS. With the identification of SHRs, all areas of the conterminous U.S. belong to an internally-consistent mapped feature, thus providing a comprehensive framework for assessing groundwater at regional and national scales. Figures 1-3 are included for reference. Files are provided in Adobe PDF (get Adobe Reader here: https://get.adobe.com/reader/): Figure 1. Map showing the 69 Secondary Hydrogeologic Regions of the conterminous United States. Figure 2. Maps showing Secondary Hydrogeologic Regions (SHRs) classified by (A) Type; (B) Lithologic class, and (C) Geologic province and subprovince. Figure 3. Map showing Community Supply Wells (Price and Maupin, 2014) classified by the type of Secondary Hydrogeologic Region (SHR) that the well plots within. Type refers to the presence of a Principal Aquifer beneath (first letter) or glacial deposits above an SHR (second letter); Y= yes, present, and N = no, not present. There are about 143,000 wells shown: 9% are in SHRs classified as Type NN, 13% in Type NY, 3% in type YN, and 4 % in Type YY; 71% are in Principal Aquifers.
DOI: 10.5281/zenodo.10054109
title: SNPs and InDels identified in 390 peanut accessions

description: SNPs and InDels identified in 390 peanut accessions
DOI: 10.5281/zenodo.11400950
title: Paradoxical Leadership and Employee Proactive Work Behavior: Exploring the Mediating Role of Perceived Psychological Contract Fulfillment.

description: Abstract

Background

This study delves into the intricate interplay among paradoxical leadership (PL), employees' proactive work behaviour (EPWB), and perceived psychological contract fulfilment (PPCF). PL, characterized by its simultaneous emphasis on apparently contradictory behaviours, has garnered attention due to its potential to foster innovation, adaptability, and creativity. The study's main objective is to thoroughly explore the complexities of PL, its influence on EPWB, and whether the PPCF serves as a mediator.  

Methods

A survey was distributed to 338 hotel and travel agency employees to gather data. The data was analysed using structural equation modelling through a SmartPLS program. 

Results 

The results reveal a positive correlation between PL and EPWB. Additionally, PPCF partially mediates this relationship, indicating its vital role in exploring the positive impact of PL on boosting proactive behaviours. 

Conclusions 

This research brings forth meaningful contributions to both theoretical and practical dimensions. Theoretically, it enhances our comprehension of how PL manifests in the distinctive landscape of the hospitality and tourism domain, substantiating its potential to drive proactive behaviours among employees. The mediation of PPCF enriches our grasp of the underlying mechanisms, accentuating the significance of maintaining harmonized and consistent leadership practices. From a practical vantage point, these findings offer valuable insights for hospitality and tourism establishments aspiring to optimize their leadership strategies for cultivating proactive work behaviour among their workforces.

 Keywords:

Paradoxical leadership; proactive behavior; hotel industry; tourism industry; psychological contract.
DOI: 10.5281/zenodo.11633346
title: Supplementary to "Quantifying the wind-induced bias of rainfall measurements for the Thies optical disdrometer"

description: Supplementary material for the paper "Quantifying the wind-induced bias of rainfall measurements for the Thies optical disdrometer" submitted to the journal Water Resources Research
DOI: 10.5281/zenodo.13869918
title: Data set for "EghiFit: Smartphone based Behaviour Monitoring and Health Recommendation in a Weight Loss Intervention Study"

description: Dataset has been created for "EghiFit: Smartphone based Behaviour Monitoring and Health Recommendation in a Weight Loss Intervention Study" paper.

We have created a smartphone based behaviour monitoring and recommendation system to aid patients recruited in a weight loss intervention programme.The main interaction element for the patients is EghiFit application which was used in context of this dataset for data acquisition and secure transmission to our servers.

The data consists of application usage per patient, steps achieved, nutritional information of meals logged, heart rate data, interaction data and more.For more information about the dataset, please take a look at readme.md file and our paper.
DOI: 10.5281/zenodo.13907274
title: Sample SpottedPy dataset for tutorial
DOI: 10.5281/zenodo.4072701
title: Data for "Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network"

description: <strong>Data for the paper "Rainfall-Runoff Prediction at Multiple Timescales with a Single Long Short-Term Memory Network"</strong> GitHub: https://github.com/gauchm/mts-lstm This dataset contains the hourly NLDAS forcings and USGS streamflow data. For training with our codebase, we recommend using the combined NetCDF file, but you can also use the csv files (but it will take much longer to load the data). <em>Related Datasets: </em>https://doi.org/10.5281/zenodo.4071885 contains the models trained with the forcings and streamflow from this dataset.
DOI: 10.5281/zenodo.7081863
title: A spatiotemporally resolved single cell atlas of the Plasmodium liver stage

description: This code is associated with the paper "A spatiotemporally resolved single cell atlas of the <em>Plasmodium</em> liver stage" Data generated in this study have been deposited in Gene Expression Omnibus with the accession code GSE181725. The code used to process the raw data to a Scanpy/Seurat structure used for analysis is available at https://github.com/AmichayAfriat/SpatioTemporal_malaria_liver_stage_atlas/. In this repository, you will find processed scRNAseq data and the codes used for further analysis and data visualization. Codes written in R (4.0.2; packages include seurat, dplyr, tidyr, ggpubr, stats, and EnhancedVolcano) and MATLAB (2019a). <strong>Folder: Additional data</strong> Metadata used in the analysis NZ_data.txt - Zonation data extracted from smFISH images using the 'analyze_neighborhood_intensity.m' function <strong>Folder: Figures_source_data</strong> Data underlying the graphical representations used in figures Each file contains clearly labeled sheets for distinct subplots <strong>Folder: functions</strong> Functions used in Matlab scripts <strong>Folder: GSEA_OUTPUT</strong> Gene Set Enrichment Analysis (GSEA, v3.0) output. Curated KEGG and HALLMARK annotations were used Filtered for minimum 15 genes in set and maximum 500. Default setting of 1,000 permutation was used to establish significance. For abortive cells DGE stricter thresholds were used - relative expression &gt; 10<sup>-4</sup>, and minimum 30 genes in set
DOI: 10.5281/zenodo.7276971
title: Summary statistics of cell-type specific cis-eQTLs in eight brain cell-types

description: This dataset contains eQTL summary statistics for all SNPs-gene pairs in 8 major brain cell types (within 1MB window surrounding the TSS of each expressed gene). For each cell type, there is one file per chromosome. Column description: 1. Gene_id 2. SNP_id 3. Distance to TSS 4. Nominal p-value 5. Beta In addition, a file contains the SNP positions (snp_pos.txt) and tested allele. Update February 2023: The summary statistics from our 'tissue-like' analysis were added (pb[1-22].gz). These file contain eQTL summary statistics after aggregating all reads from all nuclei for each individual (instead of per cell type).