cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5128627
title: Hull Springs Wetland Conductivity and Water Temperature Data from 2021-05-04 to 2021-06-11

description: <pre># General Metadata for Hull Springs Restored Wetland Sampling Station ## Files Specific metadata for each deployment and sensor can be found as text files with the file format of: HS_wetland_DO_YYYY-MM-DD_metadata.txt HS_wetland_pressure_trans_YYYY-MM-DD_metadata.txt HS_wetland_CT_YYYY-MM-DD_metadata.txt Where YYYY-MM-DD is the date that the sampling period ended. NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. Details on how the data were cleaned and variables created can be found at in the cleaning scripts on Gitlab [https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts](https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts). ## File Created * 2021-06-16 by KF ## File Modified * 2021-07-22 by KF - added general metadata for the pressure transducer and the CT sensor. ## Description These data are from the sampling station in the restored wetland at Hull Springs. The sensors are in the NE corner of the shallow pond portion of the restored wetland (38.119289, -76.667252). All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/ ## Station Specifics The specific at each site are: * Temperature (dC) and Dissolved Oxygen (mg/l) are collected with a Onset HOBO U26-001 Dissolved Oxygen Logger * Temperature (dC) and Pressure (mmHg) are collected with an Onset HOBO U20-001-01 Water Level Logger * Temperature (dC) and Conductivity are collected with an Onset HOBO U24-001 Conductivity Logger The sensors are sampled every 15 minutes ## Measurement Parameters, units, and Variable Names * date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * date.time.adj - the date and time of the pressure measurement that was adjusted to match the barometric pressure measurement from the weather station. * observation - the incremental number of each observation * timestamp - the data and time that the record was collected, as reported by the data logger (MM/DD/YY HH:MM:SS A/PM) * DO - the concentration of dissolved oxygen in the water (mg/L) * Temp - the temperature of the water (dC) * Pressure - the pressure recorded by the underwater pressure transducer (mmHg) * Low_Range_CT - the conductivity read from 0 - 2500 uS/cm (uS/cm) * Full_Range_CT - the conductivity read from 0 - 15000 uS/cm (mmHg) </pre>
DOI: 10.34810/data72/1198
title: 01AC_1.MR.0004.0205.2013.03.10.14.06.27.296875.165387037.IMA
DOI: 10.5281/zenodo.3642653
title: Chromosome walking

description: The complete project folder that includes all datasets and code used to produce the results described in Vernone et al. 2020, "Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position"
DOI: 10.5281/zenodo.3642652
title: Chromosome walking

description: The complete project folder that includes all datasets and code used to produce the results described in Vernone et al. 2020, "Chromosome Walking: A Novel Approach to Analyse Amino Acid Content of Human Proteins Ordered by Gene Position"
DOI: 10.25810/0azg-vg46
title: FIRED Bolivia

description: This is event- and daily-level polygons for the Fire event delineation (FIRED) product for Bolivia from November 2001 to May 2021. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v006/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (www.github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixel and 5 days. The primary benefit to this dataset over others is the ability to calculate fire spread rate. For each of these products (events and daily) the event identification numbers are the same, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the accompanying metadata files for the statistics provided by each data set. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.25345/c5br7v
title: MassIVE MSV000087872 - GNPS - UM Matthaei botanical garden & Herbarium
title: Plant metabolic extracts. Plant tissues as specified in file name were collected from adult live plants in the University of Michigan Matthaei Botanical Garden. 0.2g fresh weight tissue were frozen, ground in a Tissuelyzer for 2min at 6m/s with 10 2.3mm silica beads in 2mL vials. Ground tissue was extracted with 3mL methanol for 1h at 37 celsius shaking. Methanol was separated from insoluble material and dried under nitrogen. Dried crude methanol extracts were resuspended in water, partitioned twice with 3 mL hexane, 3 mL ethyl acetate and finally extracted with 3 mL n-butanol. n-butanol extracts were dried in a speedvac concentrator, resuspended in 1 mL methanol and analyzed by LC-MS/MS on an Thermo QExactive orbitrap with a ESI source. LC-MS settings were as follows: Injection volume 5 uL, LC - Phenomenex Kinetex 2.6 um C18 reverse phase 100 A 150 x 3 mm LC column, LC gradient: solvent A - 0.1% formic acid, solvent B - acetonitrile (0.1% formic acid), 0 min: 10% B, 5 min: min: 60% B, 5.1 min: 95% B, 6 min: 95% B, 6.1 min: 10% B, 9.9 min: 10% B, 0.5 mL/min, MS - positive ion mode, Full MS: Resolution 70000, mass range 400-1200 m/z, dd-MS2 (data-dependent MS/MS): resolution 17500, AGC target 1e5, Loop count 5, Isolation width 1.0 m/z, Collision energy 25 eV, dynamic exclusion 0.5 s.
DOI: 10.6084/m9.figshare.15043944
title: Clinical significance and biological functions of chemokine CXCL3 in head and neck squamous cell carcinoma

description: microarray data
DOI: 10.6084/m9.figshare.15043944.v1
title: Clinical significance and biological functions of chemokine CXCL3 in head and neck squamous cell carcinoma

description: microarray data
DOI: 10.34810/data72/1199
title: 01AC_1.MR.0004.0226.2013.03.10.14.06.27.296875.165387415.IMA
DOI: 10.25345/c5724w
title: MassIVE MSV000087873 - BuOH soluble fraction of Djulis (Chenopodium formosanum)
title: The LCMS data of BuOH soluble fraction of Djulis (Chenopodium formosanum)
DOI: 10.5281/zenodo.5128772
title: Metagenome assembled genome (MAG) annotations for Columbia River sediment bacteria and archaea

description: Excel spreadsheet containing all annotations for metagenome assembled genomes (MAGs) that form part of a publication to be submitted titled: "<strong>Microbial genome-resolved metaproteomic analyses frame intertwined carbon and nitrogen cycles in river hyporheic sediments". </strong>
DOI: 10.5281/zenodo.5128771
title: Metagenome assembled genome (MAG) annotations for Columbia River sediment bacteria and archaea

description: Excel spreadsheet containing all annotations for metagenome assembled genomes (MAGs) that form part of a publication to be submitted titled: "<strong>Microbial genome-resolved metaproteomic analyses frame intertwined carbon and nitrogen cycles in river hyporheic sediments". </strong>
DOI: 10.5281/zenodo.5128910
title: Hull Springs Wetland Water Depth and Temperature Data from 2021-06-11 to 2021-07-16

description: <pre># General Metadata for Hull Springs Restored Wetland Sampling Station ## Files Specific metadata for each deployment and sensor can be found as text files with the file format of: HS_wetland_DO_YYYY-MM-DD_metadata.txt HS_wetland_pressure_trans_YYYY-MM-DD_metadata.txt HS_wetland_CT_YYYY-MM-DD_metadata.txt Where YYYY-MM-DD is the date that the sampling period ended. NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. Details on how the data were cleaned and variables created can be found at in the cleaning scripts on Gitlab [https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts](https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts). ## File Created * 2021-06-16 by KF ## File Modified * 2021-07-22 by KF - added general metadata for the pressure transducer and the CT sensor. ## Description These data are from the sampling station in the restored wetland at Hull Springs. The sensors are in the NE corner of the shallow pond portion of the restored wetland (38.119289, -76.667252). All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/ ## Station Specifics The specific at each site are: * Temperature (dC) and Dissolved Oxygen (mg/l) are collected with a Onset HOBO U26-001 Dissolved Oxygen Logger * Temperature (dC) and Pressure (mmHg) are collected with an Onset HOBO U20-001-01 Water Level Logger * Temperature (dC) and Conductivity are collected with an Onset HOBO U24-001 Conductivity Logger The sensors are sampled every 15 minutes ## Measurement Parameters, units, and Variable Names * date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * date.time.adj - the date and time of the pressure measurement that was adjusted to match the barometric pressure measurement from the weather station. * observation - the incremental number of each observation * timestamp - the data and time that the record was collected, as reported by the data logger (MM/DD/YY HH:MM:SS A/PM) * DO - the concentration of dissolved oxygen in the water (mg/L) * Temp - the temperature of the water (dC) * Pressure - the pressure recorded by the underwater pressure transducer (kPa) * press_mmHg - the pressure recorded by the underwater pressure transducer (mm Hg) * BP_mmHg - the barometric pressure recorded by the weather station at the Yellow House (mm Hg) * Z - the depth of the water at the wetland sampling station (cm) * Low_Range_CT - the conductivity read from 0 - 2500 uS/cm (uS/cm) * Full_Range_CT - the conductivity read from 0 - 15000 uS/cm (mmHg) </pre>
DOI: 10.5281/zenodo.5128909
title: Hull Springs Wetland Water Depth and Temperature Data from 2021-06-11 to 2021-07-16

description: <pre># General Metadata for Hull Springs Restored Wetland Sampling Station ## Files Specific metadata for each deployment and sensor can be found as text files with the file format of: HS_wetland_DO_YYYY-MM-DD_metadata.txt HS_wetland_pressure_trans_YYYY-MM-DD_metadata.txt HS_wetland_CT_YYYY-MM-DD_metadata.txt Where YYYY-MM-DD is the date that the sampling period ended. NOTE: The metadata in the above file is collected from the data logger and does not have all of fields present in the final data set, because some were created during data cleaning. Details on how the data were cleaned and variables created can be found at in the cleaning scripts on Gitlab [https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts](https://gitlab.com/leo147/leo/-/tree/master/lab_notebook/data_processing/cleaning_scripts). ## File Created * 2021-06-16 by KF ## File Modified * 2021-07-22 by KF - added general metadata for the pressure transducer and the CT sensor. ## Description These data are from the sampling station in the restored wetland at Hull Springs. The sensors are in the NE corner of the shallow pond portion of the restored wetland (38.119289, -76.667252). All data are CC-BY and should be cited using the DOI available at https://zenodo.org/communities/leo/ ## Station Specifics The specific at each site are: * Temperature (dC) and Dissolved Oxygen (mg/l) are collected with a Onset HOBO U26-001 Dissolved Oxygen Logger * Temperature (dC) and Pressure (mmHg) are collected with an Onset HOBO U20-001-01 Water Level Logger * Temperature (dC) and Conductivity are collected with an Onset HOBO U24-001 Conductivity Logger The sensors are sampled every 15 minutes ## Measurement Parameters, units, and Variable Names * date.time - the date and time that the record was collected, reported in POSIX standard time (YYYY-MM-DD HH:MM:SS) * date.time.adj - the date and time of the pressure measurement that was adjusted to match the barometric pressure measurement from the weather station. * observation - the incremental number of each observation * timestamp - the data and time that the record was collected, as reported by the data logger (MM/DD/YY HH:MM:SS A/PM) * DO - the concentration of dissolved oxygen in the water (mg/L) * Temp - the temperature of the water (dC) * Pressure - the pressure recorded by the underwater pressure transducer (kPa) * press_mmHg - the pressure recorded by the underwater pressure transducer (mm Hg) * BP_mmHg - the barometric pressure recorded by the weather station at the Yellow House (mm Hg) * Z - the depth of the water at the wetland sampling station (cm) * Low_Range_CT - the conductivity read from 0 - 2500 uS/cm (uS/cm) * Full_Range_CT - the conductivity read from 0 - 15000 uS/cm (mmHg) </pre>
DOI: 10.15129/70f24ecf-d135-4c27-a650-31b040096803
title: Data for: "Vacuum ultraviolet coherent undulator radiation from attosecond electron bunches"

description: This dataset contains simulation results obtained with the codes SPECTRA 10.2 (https://spectrax.org/spectra/) and GPT 3.4 (http://www.pulsar.nl/gpt/) on coherent synchrotron radiation driven by attosecond electron bunches. This is the basis of the paper by Brunetti et al. "Vacuum ultraviolet coherent undulator radiation from attosecond electron bunches" accepted in Scientific Reports.
DOI: 10.3886/e145901v1
title: Contact Network Analysis of Covid-19 in Tourist Areas —— Based on 333 Confirmed Cases in China

description: Based on the confirmed cases of COVID-19 in two major tourist provinces in southern China (Hainan and Yunnan), this study analyzed the epidemiological characteristics and dynamic contact network structure of patients in these two places.
DOI: 10.34810/data72/1200
title: 01AC_1.MR.0004.0080.2013.03.10.14.06.27.296875.165384780.IMA
DOI: 10.15468/7pqbpn
title: Placoneis cocquytiae, a new raphid diatom (Bacillariophyceae) from the Senegal River (Senegal, West Africa)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Fofana, Cheikh Abdoul Kader, Sow, El Hadji, Taylor, Jonathan, Ector, Luc, Vijver, Bart Van De (2014): Placoneis cocquytiae, a new raphid diatom (Bacillariophyceae) from the Senegal River (Senegal, West Africa). Phytotaxa 161 (2): 139-147, DOI: 10.11646/phytotaxa.161.2.5, URL: http://dx.doi.org/10.11646/phytotaxa.161.2.5
DOI: 10.17632/kvjd6nj2bh.2
title: Smc_collisions

description: Raw data files for viability spotting assays, western blottings, ChIP-qPCR, entrapment assay and expression analysis of HaloTagged protein variants. The data comes from the paper addressing Smc-Smc collisions in B. subtilis (A low Smc flux avoids collisions and facilitates chromosome organization in B. subtilis).
DOI: 10.17632/vgbyvchff6.1
title: Supplementary data for MG

description: Two supplementary datasets related to this article are available in the online supplementary data.
DOI: 10.17632/kggx8xp89c.1
title: Supplementary_Tables_JDS_2020_20023_Bernard_et_al.pdf

description: Primer and probe sequences and conditions used for real-time RT-PCR for analysis of studying mammary lipogenic gene expression and milk fatty acid composition of cows fed concentrates supplemented with free palmitic acid or rapeseed oil
DOI: 10.17632/t8gzm96zc7.1
title: Mineral Exploration along the Eastern Coastal regions of Tamil Nadu by using Hyperion data

description: Hyperion data set
DOI: 10.17632/sk8hcz6y9x.1
title: The Democratization of Investment Research (Data)

description: This file contains the main dataset, the code, and a data dictionary to allow users to replicate the main results of the paper: "The Democratization of Investment Research and the Informativeness of Retail Investor Trading." The SAS code is documented and there is a separate data dictionary defining the variables.
DOI: 10.34810/data72/1201
title: 01AC_1.MR.0004.0208.2013.03.10.14.06.27.296875.165387091.IMA
DOI: 10.17632/4gdcpp82bv.2
title: Comunicar los resultados de la investigación arquitectónica. Cómo diseñar un artículo científico digital en el ámbito arquitectónico

description: The scientific paper is the preferred method through advancements in any scientific field are communicated. The publishing of scientific journals has undergone a digital transformation, even in areas such as architecture, where this process has been paradoxically slow. However, papers that make it in architectural journals are still written and published as if they were still in a printed format, the conventional system inaugurated by Gutenberg. Such traditional publications are limited to a two-dimensional format, which does not recognize the way of communicating ideas in architecture today. This article explores the possibilities of this new digital format, closer to the architectural gesture, which, while valuing traditional forms such as sketches, plans or photographs, incorporates new possibilities offered by digital magazines such as digital models and evolving infographics. These types of projective representations multiply the communication possibilities of researchers and creators. As a result, the contemporary paper can and should be representative of the innovation that underlies its existence. Its content is a vivid reflection of the natural evolution of architectural, urban or landscape research. This makes it necessary for the scientific paper to include new types of dynamic formats. This article presents some of these formats and methods for communicating the results of architectural research today: hypertexts, embedded resources, geo-referenced images, 3D models and linked bibliography, among others. This article is in turn an invitation to the authors to enrich their practices with the resources of visual, graphic and textual language.
DOI: 10.17632/5k32zg23b8.1
title: Correspondence of specific cause items and distribution of cause characteristics

description: This dataset is for storing the data used in the paper named 'Study on the Reliability of Accident Analysis Results: Analyzing Samples of 13 Accident Analysis References based on the 24Model'. This article evaluates the reliability of the accident analysis results by comparing the consistency of the output among different analysts. The data sampled from 4 groups, a total of 8 master’s and doctor’s theses These theses all used 24Model as an accident analysis method to analyze the major gas explosion accidents that occurred in China in some years. The data consists of unsafe acts obtained from the accident analysis results. Please refer to the article for the process of data screening, the detailed procedure for comparing accident analysis results, and the specific information of the theses. The dataset document is divided into five parts. The first part is a legend of the expression used for data comparison. The second part to the fifth part respectively presents the comparison results of the four comparison groups. The data used in this dataset has been authorized for use.
DOI: 10.17632/9pyhyy6yvm.2
title: ANN assisted optimization of a multimode linearly tapered bimorph PYT-5 cantilever beam for low frequency energy harvesting

description: The data on the cantilever's dimensions are considered as input and the output resonant frequency of the first mode and the generated power are considered as output. They are used for training the artificial neural network (ANN) that would provide us with the fitting function that we modify (scalarize) and use in algorithms for the optimization aiming to achieve minimal resonant frequency and maximal generated power. Two methods were used for the training of the ANN, Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG). For optimization we used the goal attainment method (GAM) and genetic algorithm (GA).
DOI: 10.17632/dtsn3xn3n6.4
title: Global chronostratigraphical correlation table for the last 2.7 million years v.2019 (Poster version)

description: This 'version 4' upload is the 2021-updated poster-version of Figure 1 of the Quaternary International 500 article (version 1). The Figure 2 inset from that paper, is also included here, for completeness. Cohen, K.M. & Gibbard, P.L. 2019 Global chronostratigraphical correlation table for the last 2.7 million years. Quaternary International vol. 500. Fig. 1. https://doi.org/10.1016/j.quaint.2019.03.009 See abstract and full text of the linked paper for details, research history and citations/references to materials included in the chart: it makes extensive use of published data sets and schemes, all cited in the main text, many of which have data repositories. The 2020 update comprised the ratification of a GSSP for the Middle Pleistocene (introducing the Chibanian Stage), the splitting of the Subseries and Stages column and the way the GSSPs are indicated, and the lowering of the provisional numeric age for the Late Pleistocene Subseries/Stage from 0.129 to 0.126 (affecting the dashed horizontal line that serves as a left-right guide across the chart). The 2021 update corrected a MIS misnumbering at the top of the Olduvai (63, 65) present in older editions, spotted after over a decade of updating the figure/poster. Otherwise, the undivided poster version only differs from the 3-page spread figure in the QI paper in placement and font size of title and version, placement of logotypes, inclusion of Utrecht University and University of Cambridge logo's on the poster (continued from earlier releases of the chart), reference to the Quaternary International v-500 2019 paper. All data featured on the chart, is referenced in brief in the text below, and referenced in full and documented in brief in the 2019 paper. The 2019 QI-500 paper publication followed up the Episodes 2008 Gibbard & Cohen paper. The 2021 and 2020 edition of the chart (versions 4, 3, 2 in this repository) follow up editions in 2019 (QI-500/INQUA-Dublin; version 4) and the 2016 IUGS' Cape town IGC version (web-released at the time). The release of the poster version via data.mendeley.com, cross-referenced from the QI paper, was coordinated with the QI journal management (Elsevier) and editorship (INQUA). Use of the IUGS-ICS and INQUA logo's was coordinated with the respective organisations (and is continued from earlier releases of the chart). The PDF files contain scale-able vector graphics only and therefore should suit reproductions to mini-poster (A4, A3) and poster size (e.g. A1) formats alike. Before seeking far zoomed in usage of the chart: take notice of the discussion in the QI paper of chosen graphical resolution, versus achievable geological and chronometric correlation accuracy limits.
DOI: 10.17632/fhypn5wk9b.1
title: Ring Finger protein 213 (RNF213) assembles into a sensor for ISGylated proteins with antimicrobial activiy

description: Contains raw images from western-blot analysis, high resolution microscopy pictures and excel files compiling all quantification data plotted in the corresponding research article.
DOI: 10.34848/fk2/wlb6eh/j2dgml
title: db_permanent link.xlsx

description: Business, Management, and Accounting journals mission statement
DOI: 10.17632/hc47g6bdfz.1
title: Ethiotelecom customer comment: Sentiment Analysis

description: This dataset is used for sentiment analysis of customer comment which is gathered from official Facebook page of Ethiopian telecom company (Ethiotelecom). The dataset includes customer comment about the different service given by the company.