cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/5c99c0be-6902-43fb-acf9-80bb4b2f29b8
title: Shotgun sequences of Malus domestica and Ribes buds

description: Shotgun sequences of Malus domestica and Ribes buds (n=18) related to the article "Cultivar-dependent differences in plant bud microbiome and functional gene pathways in woody plants commonly used in urban green space".
Forward Reverse Species
2_1B_1.fq.gz 2_1B_2.fq.gz Malus_domestica_lobo
2_2B_1.fq.gz 2_2B_2.fq.gz Malus_domestica_lobo
2_3B_1.fq.gz 2_3B_2.fq.gz Malus_domestica_lobo
3_1B_1.fq.gz 3_1B_2.fq.gz Malus_domestica_sandra
3_2B_1.fq.gz 3_2B_2.fq.gz Malus_domestica_sandra
3_3B_1.fq.gz 3_3B_2.fq.gz Malus_domestica_sandra
13_1B_1.fq.gz 13_1B_2.fq.gz Ribes_Rubrum_Piikkion_Helmi
13_2B_1.fq.gz 13_2B_2.fq.gz Ribes_Rubrum_Piikkion_Helmi
13_3B_1.fq.gz 13_3B_2.fq.gz Ribes_Rubrum_Piikkion_Helmi
14_1B_1.fq.gz 14_1B_2.fq.gz Ribes_Rubrum_Punahilkka
14_2B_1.fq.gz 14_2B_2.fq.gz Ribes_Rubrum_Punahilkka
14_3B_1.fq.gz 14_3B_2.fq.gz Ribes_Rubrum_Punahilkka
15_1B_1.fq.gz 15_1B_2.fq.gz Ribes_nigrum_Venny
15_2B_1.fq.gz 15_2B_2.fq.gz Ribes_nigrum_Venny
15_3B_1.fq.gz 15_3B_2.fq.gz Ribes_nigrum_Venny
17_1B_1.fq.gz 17_1B_2.fq.gz Ribes_uva_crispa_Lepaan_Punainen
17_2B_1.fq.gz 17_2B_2.fq.gz Ribes_uva_crispa_Lepaan_Punainen
17_3B_1.fq.gz 17_3B_2.fq.gz Ribes_uva_crispa_Lepaan_Punainen
DOI: 10.15468/dl.6jdua9
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Physalaemus camacan Pimenta, Cruz & Silvano, 2005"
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007710-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14rret6
title: DRAFT: Supplementary Data Release for Framework for Mapping Liquefaction Hazard-Targeted Design Ground Motions

description: These data are supplementary to the journal article Makdisi, A.J., Kramer, S.L. (In-Review). Framework for Mapping Liquefaction Hazard-Targeted Design Ground Motions (doi to be updated on full publication). This dataset includes tabular data summarizing mean and standard deviation liquefaction factor of safety (FSL) ratios, effective FSL return periods, and example reference liquefaction-targeted design peak ground acceleration parameters (PGAL) for 96 geographic locations throughout the conterminous United States. These data were used to generate Figure 4, Figure 5, Figure 7, and Table 2 and Table 5 in the article.
 
Notes:

Procedures for calculating PGAL and FSL are detailed in Section 4.1 (Equations 2 and 3 and Figure 6) of the corresponding journal article.
Mean magnitude Mw was calculated using the procedures outlined in the Appendix (Equation A.4a and A.4b) of the corresponding journal article.
Blank entries in the "SummaryData_Tr*.csv" files should be interpreted as NaN, and correspond to study locations where the computed liquefaction factors of safety (FSL) were above 3.0 for all soil conditions considered (i.e., liquefaction hazard was considered sufficiently low at these sites)
DOI: 10.5066/p9i0r4o6
title: Gridded earthquake ground motions for the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard

description: For designing buildings and other structures, the 2020 NEHRP Recommended Seismic Provisions and the 2022 ASCE/SEI 7 Standard provide Risk-Targeted Maximum Considered Earthquake (MCER) spectral response accelerations and Maximum Considered Earthquake Geometric Mean (MCEG) peak ground accelerations. The MCER ground motions are also expected to be in the 2023 ASCE/SEI 41 Standard and the 2024 and 2027 editions of the International Building Code. Both sets of ground motions are derived from USGS National Seismic Hazard Models via the gridded values of this data release. The files in the "Child Items" below also underlie corresponding USGS Seismic Design Web Services. See the "Related External Resources" below for links to the building code reference documents (which include explanations of differences with respect to prior editions), the USGS National Seismic Hazard Models used, and the corresponding USGS web services.
DOI: 10.5281/zenodo.10287455
title: Mount Holyoke College Laser Induced Breakdown Spectra; SuperLIBS 10K; Earth and vacuum atmospheres

description: Laser induced breakdown spectra of reference targets with known composition. Spectra were acquired on the SuperLIBS instrument at Mount Holyoke College under a ambient (Earth) and vacuum atmospheric conditions at laser energies of 2.4 mJ, 3.2 mJ, and 4.0 mJ (Earth) and 2.4 mJ, 4.0 mJ, 5.6 mJ, and 7.2 mJ (vacuum). Processing includes baseline removal (airPLS) and normalization within each spectral region (UV, VIS, and VIS-NIR). This is a subset of a larger LIBS reference database that will be available on the NASA PDS Geosciences node at: https://doi.org/10.17189/b2aj-cz96. This research was supported by NASA grant 80NSSC21K0888.
DOI: 10.5281/zenodo.10684357
title: Assessing and Correcting Neighborhood Socioeconomic Spatial Sampling Biases in Citizen Science Mosquito Data Collection

description: Reporting data from the Mosquito Alert citizen science system used in "Assessing and Correcting Neighborhood Socioeconomic Spatial Sampling Biases in Citizen Science Mosquito Data Collection." The data includes all adult mosquito and mosquito bite reports received from Barcelona Municipality from the start of the Mosqiuto Alert project in 2014 through the end of 2023. The data is stored as an RDS file and contains the following fields:



year - the year in which the report was made. Class = dbl.

date - the date om which the report was made. Class = date.

type - the report type, either adult mosquito ("adult") or mosquito breeding site ("site"). Class = chr.

lon - the longitude of the report location. Class = dbl.

lat - the latitude of the report location. Class = dbl.
DOI: 10.5281/zenodo.13301031
title: Dataset of Cliff notching due to swash abrasion: Insights from physical experiments (v2)

description: This dataset contains all the cliff and beach profile data in the manuscript "Cliff Notching Due to Swash Abrasion: Insights from Physical Experiments" by Yaxiong Shen, Colin Whittaker, and Mark DicksonThe MATLAB script plotprofile.m is used to visualise cliff and beach profiles in different experiments.This is a revised version incorporating the reviewers' suggestions, which recommend renaming the experiments. The data remains unchanged from the previous version.The only modification is the updated experiment names.

If you have any questions about this code and data, please contact Yaxiong Shen (yaxiong.shen@auckland.ac.nz)
DOI: 10.5281/zenodo.7928599
title: Data for "The use of bibliometrics in nursing research: topics, data sources and applications"

description: Dataset to reproduce the analysis of the paper "The use of bibliometrics in nursing research: topics, data sources and applications". It contains a list of 129 nursing bibliometric articles and, or each article, the topic of the study, the data source employed to gather the literature, the time frame, the number of records considered, and whether the article analysed, or not, fourteen variables.
DOI: 10.7278/s50d-nsy5-8bje
title: Dataset for: Alta-Collins Snow and Liquid Precipitation Equivalent Observations 2000–2023
DOI: 10.5066/p9ombjpq
title: High-Water Marks in the Five Boroughs of New York City from Flash Flooding Caused by the Remnants of Hurricane Ida, September 1, 2021

description: This data release contains results of a high-water mark survey across the five boroughs of New York City following flash flooding caused by the remnants of Hurricane Ida, September 1, 2021.� The survey was conducted between September 7 and November 23, 2021, and is based on observations of mud, debris, and seed lines left by the flooding.� Real time and static GNSS surveying as well as available lidar data were used to determine high-water mark elevations at 83 locations.� Additional data associated with Hurricane Ida flooding can be found in the USGS Flood Event Viewer, https://stn.wim.usgs.gov/fev/#2021Ida
DOI: 10.5281/zenodo.10530510
title: Protocol for certifying entanglement in surface spin systems using a scanning tunneling microscope

description: This folder contains all data for the paper titled "Protocol for certifying entanglement in a surface spin system using a scanning tunneling microscope". See readme file for more information.
DOI: 10.5281/zenodo.13731575
title: Stable isotope records and bulk chemical compositions of the early Paleogene intervals of ODP Hole 762C

description: In this study, we examined marine carbonate sediments of the late Paleocene to middle Eocene interval from the ODP Hole 762C, located on the Exmouth Plateau in the mid-latitude eastern Indian Ocean. This new dataset includes bulk carbonate δ13C and δ18O records, as well as bulk chemical composition of the sediments. By combining δ13C data with previously published magneto-biostratigraphic records, we revised the age model based on the newly identified hyperthermal event layers.

Description of files:



Supporting Table S3 : Bulk δ13C and δ18O data of ODP Hole 762C.

Supporting Table S4 : Major and trace element data of ODP Hole 762C
DOI: 10.57967/hf/2770
title: GPT-Narratives-for-Materials
DOI: 10.17632/ck824h3xrc.1
title: Complete Sankey diagram

description: Sankey diagram showing the clustering of all ninety-two combinations

On the left x axis, the first author of the included study is depicted. Each curved line represents a study. The width of the curves is proportional to the number of patients with NVO and its synonyms included, reaching the middle x axis (year of publication). From years of publication axis, until the right x axis (showing the possible combinations of diagnostic criteria), curves are not anymore proportional to the number of patients, to improve readability.

Diagnostic criteria combination data legend: 
1- Clinical features (symptoms, signs, patient history)
2- Inflammatory biomarkers (CRP; ESR; WBC)
3- MRI (with or without contrast medium)
4- Other imaging techniques (plain films, CT scan, PET/CT, scintigraphy or other nuclear medicine technique)
5- Microbiological evidence from blood cultures
6- Microbiological evidence from spinal cultures
7- Histopathology
8- Clinical improvement after antimicrobial treatment
DOI: 10.17632/wjwbwrn28p.1
title: AI Applications in Climate Research Dataset

description: This contains the files for the paper "Climate Change and Artificial Intelligence: Assessing the Global Research Landscape."
 
File 1 contains research clusters that are in the 95th percentile of containing climate focused literature. 
File 2 contains research clusters with at least 5 percent R climate publications and 5 percent AI-related publications plus an average publication citation of two or more and the top country being either the United States or China.
DOI: 10.5066/p94l6mtz
title: Wyoming Roads (Updated to 2015 Aerial Photography)

description: A dataset comprised of road centerlines in Wyoming, USA, digitized to 2015 aerial photography from the National Agriculture Imagery Program. This dataset is an update to a former U.S. Geological Survey Data Series (?Large scale Wyoming transportation data: a resource planning tool?: O'Donnell and others, 2014) digitized to 2009 aerial photography. The U.S. Geological Survey Fort Collins Science Center created statewide roads data for the Bureau of Land Management Wyoming State Office using 2015 aerial photography from the National Agriculture Imagery Program. To ensure a systematic and repeatable approach of capturing roads on the landscape using on-screen digitizing from true color National Agriculture Imagery Program imagery, we developed a photogrammetry key and quality assurance/quality control protocols (O'Donnell and others, 2014). The updated statewide roads data will support the Bureau of Land Management?s resource management requirements with a standardized map product representing 2015 ground conditions. The data product, represented at 1:4,000 and +/- 10 meters spatial accuracy, contains 397,603 kilometers (O'Donnell and others, 2014 included 425,275 kilometers) within seven attribute classes. The quality control of these products indicated a 97.2 percent accuracy of aspatial information and 98.8 percent accuracy of spatial locations (an 86.3% accuracy was determined when considering spatial accuracy of mapped roads, commission errors, and omission errors). All errors identified during quality assurance assessments were corrected in the final product. Approximately 52 percent of the updated roads data were corrected for spatial errors of greater than 1 meters relative to the pre-existing road data (O'Donnell and others, 2014). Twenty percent of the updated roads involved correcting spatial errors of greater than 5 meters and 16 percent of the updated roads involved correcting spatial errors greater than 9 meters. The updated dataset includes the following improvements:1) Roads developed since 2009 but not roads developed after 2015; 2) Removal of commission errors (roads that were digitized but did not exist in imagery) was a principal focus of this dataset.
DOI: 10.5281/zenodo.1476844
title: Predicted USDA soil great groups at 250 m (probabilities)

description: Distribution of the USDA soil great groups based on machine learning predictions from global compilation of soil profiles (&gt;350,000 training points). To learn more about soil great groups please refer to the Illustrated Guide to Soil Taxonomy - NRCS - USDA. Processing steps are described in detail <strong>here</strong>. Antarctica is not included. To access and visualize maps use: OpenLandMap.org A back-up copy of all predictions (&gt;65GB) can be downloaded from: http://gofile.me/6J25n/mQ3cHOOMr If you discover a bug, artifact or inconsistency in the maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creation option in GDAL. File naming convention: sol = theme: soil, grtgroup = variable: USDA great group, usda.argiustolls = determination method: USDA soil taxonomy class Argiustolls, p = probability, 250m = spatial resolution / block support: 250 m, s0..0cm = vertical reference: soil surface, 1950..2017 = time reference: period 1950-2017, v0.2 = version number: 0.2,
description: {"references": ["USDA-NRCS, (2014). Illustrated Guide to Soil Taxonomy: Version 1.0, September 20014, U.S. Department of Agriculture, Natural Resources Conservation Service, National Soil Survey Center.", "Hengl T, Mendes de Jesus J, Heuvelink GBM, Ruiperez Gonzalez M, Kilibarda M, Blagoti\u0107 A, et al. (2017) SoilGrids250m: Global gridded soil information based on machine learning. PLoS ONE 12(2): e0169748.", "Hengl, T., MacMillan, R.A., (2019). Predictive Soil Mapping with R. OpenGeoHub foundation, Wageningen, the Netherlands, 370 pages, www.soilmapper.org, ISBN: 978-0-359-30635-0.", "Silva, B. P. C., Silva, M. L. N., Avalos, F. A. P., de Menezes, M. D., & Curi, N. (2019). Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil. Scientific reports, 9(1), 1-12.", "Samuel-Rosa, A., Dalmolin, R. S. D., MOURA-BRUNO, J. M., Teixeira, W. G., & FILIPPINI ALBA, J. M. (2018). Open legacy soil survey data in Brazil: geospatial data quality and how to improve it. Embrapa Clima Temperado-Artigo em peri\u00f3dico indexado (ALICE)."]}
DOI: 10.5281/zenodo.4420849
title: Predicted carbon-13 NMR data of Natural Products (PNMRNP)

description: PNMRNP is an SDF file that reports the structure, properties and classification of 211,280 natural products. The starting point of this work (January 2019) was ISDB which contains csv files of the UNPD data base (Gu J et al., PLOS ONE 2013, 8, e62839, doi:10.1371/journal.pone.0062839) and which are packaged with the ISDB mass spectrometry fragmentation database (Allard PM et al., <em>Anal. Chem.</em> 2016, 88, 6, 3317-3323, doi: 10.1021/acs.analchem.5b04804). Starting from InChI strings of compounds, 2D structures with configuration data were produced mainly from the RDKit cheminformatic toolkit. Pubchem identifiers were searched for the compounds and used as keys to give names and synonyms to molecules. Carbon atoms in molecular structures were associated to <sup>13</sup>C NMR chemical shift values using nmrshiftdb2. A three-level classification of compounds according to sub-structure presence is proposed. A compound may be classified as a terpene (level 1) as a sesquiterpene (level 2) and as an eudesmane (level 3). Version 2 of PNMRNP includes the classification of organic compounds according to ClassyFire. Version 3 of PNMRNP includes <sup>13</sup>C NMR chemical shifts calculated using ACD/Labs C+H NMR Predictors and DB.
DOI: 10.5281/zenodo.4625639
title: UCSCXenaShiny Extra Data Repository

description: This is the extra data repository for UCSCXenaShiny project. All datasets are obtained either from the public database UCSC Xena/GDC portal, or publications. The datasets are cleaned and stored in RData format and most data source can be obtained by `attr(obj, "data_source)"` in R.

If you use the data in your academic project, please cite regarding data source and our project paper:

Wang, S., Xiong, Y., Zhao, L., Gu, K., Li, Y., Zhao, F., ... & Liu, X. S. (2022). UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data. Bioinformatics, 38(2), 527-529.
description: add data for supporting cross analysis
DOI: 10.5281/zenodo.7845968
title: Scholix dump of the OpenAIRE inferred citations

description: This dataset contains the set of citations extracted for the large by the OpenAIRE Information Inference Service (IIS). It consists of tar archives, each containing gzip-compressed files, including new-line delimited JSON records in Scholix format. The dataset counts 36.430.057 citations, from citing scientific products. The type of PIDs among the citing and the cited products include: DOI PMC PMID ArXiv Handle
DOI: 10.6084/m9.figshare.25715292.v1
title: Island data

description: Polygons of islands measured in Google Earth. Data of size estimation measured in Google Earth.
DOI: 10.5281/zenodo.11077130
title: Data and Code for: Nitrogen deposition contributed to a global increase in nitrous oxide emissions from forest soils

description: Nitrous oxide (N2O) is a potent greenhouse gas (GHG). Anthropogenically enhanced nitrogen (N) deposition causes natural forest soils to release more N2O, exacerbating global warming. The data from the N addition experiments conducted in forests worldwide were used to quantify the spatially varying sensitivity (sN) of soil N2O emission (RN2O) to N deposition (Ndepo). This was done in order to infer soil RN2O dynamics from N deposition data. From 1985 to 2015, global forest soil N2O emissions increased from 3.55 TgN2O-N yr–1 to 3.85 TgN2O-N yr–1. N deposition was found to contribute directly to 9.0% of global forest soil N2O emissions. The derived sN for 145 countries could be employed as localized emission factors for national inventories of N2O emissions from forestlands. This study sheds light on a process-augmented data-driven approach to estimating global N2O emissions by synthesizing experimental and observational data.
DOI: 10.5281/zenodo.13223516
title: The datasets of PepNet
DOI: 10.5281/zenodo.4613099
title: CSP.guru

description: This is the third version of CSP.guru produced during the openCSP project and reflects the state of play at the beginning of 2021.
DOI: 10.5279/dk-sa-dda-1
title: Socialforskningsinstituttets omnibusundersøgelse, november 1972
title: Danish Omnibus Survey, November 1972

description: Omnibus november 1972 er den første i en serie af vidtspændende interviewundersøgelser, som kendetegnes ved bl.a. ensartethed m.h.t. baggrundsvariablene: husstandssammensætning, boligbetingelser i vid betydning samt en del individuelle baggrundsoplysninger for respondenten og andre husstandsmedlemmer. Der kan (jvf. begrebet omnibus) ikke gives en kortfattet dækkende indholdsoversigt for Omnibus 1972. De vigtigste temaer er:
            For indtil 6 personer i husstanden gives detaljerede tidsbudgetter over tidsanvendelse og hyppighed af indkøb af dagligvarer/småærinder, afhentning/udbringning af børn i pleje, etc. Ligeledes gives en oversigt over erhvervsmæssigt arbejdes tidsmæssige placering.
            For interviewpersonen gives særligt detaljeret arbejdsmæssig information, som indbefatter dag-for-dag tidsbudget i en arbejdsuge, samt ferieoplysninger. Arbejdspladsskift eller arbejdsfunktionsændringer (beskæftigelsesmobilitet) vurderes af den interviewede.
            Anskaffelser inden for det sidste år af varige forbrugsgoder belyses m.h.t. købsbetingelser og tilfredshed; planer/ønsker om anskaffelser i det kommende år er medtaget.
            Tidsbudgetter for specificeret radio/TV-forbrug opstilles. Kendskab til statslige forbrugerorganer belyses. Holdninger til skilsmisselovgivning afdækkes. Videre sammenlignes respondentens fortid, nutid og fremtid på det økonomiske område. Endelig giver respondenten sin egen vurdering af helbredstilstand på en særlig skala.
            Flere emner (ofte fra forskellige opdragsgivere) i samme spørgeskema.
            M.h.t. Danmarks Statistiks spørgsmål i denne omnibusundersøgelse se DDA-0752: ''Omnibusundersøgelsesregistret''
description: -
description: See abstract
DOI: 10.5279/dk-sa-dda-2
title: Handicapundersøgelsen 1961-1962
title: Danish Handicap Survey, 1961-1962

description: Til belysning af handicappedes forhold ønskedes en stikprøve på ca. 600 tilfældigt udvalgte handicappede, idet man mente at eksisterende kartoteker var ufuldstændige og derfor ubrugelige. Desuden ønskede man at sammenligne forholdene for de handicappede og den øvrige befolkning. Man valgte derfor at udvælge en stikprøve af hele befolkningen (over 15 år), således at man med stor sandsynlighed ville opnå interview med ca. 600 handicappede. Datamaterialet består af grundoplysninger for samtlige interviewede
description: The aim of the survey was to give a reasonably reliable picture of physically handicapped people in Denmark both as regards number and as regards distribution on diagnostic groups, i.e. handicap, sex, age, education, occupation, income, housing conditions, etc. Information was also wanted about the effectiveness of existing social services for handicapped people and the need for further measures to be taken, in particular rehabilitation measures.     #For this purpose, a representative sample of 600 physically handicapped persons was drawn. The general impression was that existing files were incomplete and therefore useless. So, as one of the aims of the survey was to compare the conditions of handicapped people with the conditions of the general population, it was decided to draw a large sample from the total population of Denmark (i.e. persons aged 15 or more) which would yield approx. 600 handicapped persons. The data material contains basic information about the total number of respondents in the sample
description: Belysning af handicappedes forhold
description: See abstract