cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13020/d69q3k
title: Hyperspectral image dataset for salt stress phenotyping of wheat

description: The dataset contains hyperspectral images of four wheat lines, each with a control and a salt (NaCl) treatment. Images were captured by a hyperspectral camera (PIKA II, Resonon) under natural light condition one day after salt application when there were no visual symptoms in wheat plants. The camera recorded the spectral response of both control and salt tanks of each line over 240 spectral channels in visible and near infrared region (400 nm to 900 nm) with about 2.1 nm spectral resolution, 640 spatial channels in the cross-track direction, and about 1 mm spatial resolution. Raw images were converted to radiance (Wm−2sr−1nm−1) using a vendor-provided calibration file, and then converted to reflectance (%) using a Spectralon panel. In total 25 spectral bands were disregarded due to high noise. Subsequent to noisy band removal, vegetation pixels were segmented from background using spectral vegetation indices and morphological operation. Although the goal of this study was plant phenotyping to rank salt tolerance of wheat lines, this dataset can be used for other research purposes, such as developing classification algorithms to discriminate healthy and stressed plants and developing methods for spectral feature selection to reduce the dimension of hyperspectral images.
DOI: 10.15468/llxrqq
title: Makira

description: Makira biological inventory in 2002 and 2003
DOI: 10.3886/e205102v1
title: Data and Code for: What Went Wrong with Federal Student Loans?

description: At a time when the returns to college and graduate school are at historic highs, why do so many students struggle with their student loans? The increase in aggregate student debt and the struggles of today’s student loan borrowers can be traced to changes in federal policies intended to broaden access to federal aid and educational opportunities, and which increased enrollment and borrowing in higher-risk circumstances. Starting in the late 1990s, policymakers weakened regulations that had constrained institutions from enrolling aid-dependent students. This led to rising enrollment of relatively disadvantaged students, but primarily at poor-performing, low-value institutions whose students systematically failed to complete a degree, struggled to repay their loans, defaulted at high rates, and foundered in the job market. As these new borrowers experienced similarly poor outcomes, their loans piled up, loan performance deteriorated, and with it the finances of the federal program. The crisis illustrates the important role that educational institutions play in access to postsecondary education and student outcomes, and difficulty of using broadly-available loans to subsidize investments in education when there is so much heterogeneity in outcomes across institutions and programs and in the ability to repay of students.
DOI: 10.5258/soton/384976
title: Research data for "Spatial optical phase modulating metadevice with subwavelength resolution"
DOI: 10.5281/zenodo.10513684
title: Verhältnismäßigkeit - Proportionality. An annotated dataset of GFCC decisions.

description: Information

The dataset contains 300 decisions of the German Federal Constitutional Court for which the proportionality test was annotated at sentence level. Each decision was annotated by at least two people and, in case of disagreement, a gold standard was curated by experts. The dataset provides the individual annotations (folder anno_data/) and the gold standard as single documents (folder gold_data/). Furthermore, the data is also available as a merged dataset (at sentence level sent_data.csv and aggregated for the decision level dec_agg_data.csv). Further information is available in the documentation Lüders_vhmk-data-description.pdf.

Contact

kilian.lueders@hu-berlin.de

Data Sources



Wendel, Luisa, & Möllers, Christoph (2023). Korpus der Entscheidungen des Bundesverfassungsgerichts (2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10369205

Wendel, Luisa (2023). Metadaten zu Entscheidungen des Bundesverfassungsgerichts (2.7.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10378324


Project

Leibniz Linguistic Research into Constitutional Lawhttps://www.lehrstuhl-moellers.de/llcon

Funding

DFG Gottfried Wilhelm Leibniz of Prof. Dr. Christoph Möllers, LLM.
DOI: 10.5281/zenodo.10971780
title: BepiColombo Mio MIA and MEA2 Data During the Third Mercury Flyby

description: This data set includes energy-time spectrograms of low-energy ions and electrons obtained by MIA and MEA2, respectively, during BepiColombo Mio's third Mercury flyby. The "eflux" files contain the differential energy flux in units of eV/cm^2/s/sr/eV, and the "energy" files contain the corresponding energies in units of eV/q for ions and eV for electrons.
DOI: 10.5281/zenodo.3260745
title: BIDS Data for "Effects of Acute and Chronic Reuptake Inhibitionon on Optogenetically Induced Serotonergic Activity"

description: Base data package for the “Effects of Acute and Chronic Reuptake Inhibitionon Optogenetically Induced Serotonergic Activity” article, formatted corresponding to the Brain Imaging Data Structure.
DOI: 10.6084/m9.figshare.3362152
title: Raw image data taken by a standard plenoptic camera

description: Raw image data set taken by a standard plenoptic camera.
DOI: 10.1285/i22390359v23p21
title: Web searches for learning. How language teachers search for online resources

description: This paper discusses the results of a project investigating the use of web searching for professional purpose by language teachers of different school levels. The study focuses on language teachers' actual practice: criteria for planning the web search, identifying and selecting resources, sharing and using them for their teaching practice. Resources (Open Educational Resources in particular) have been multiplying on the web, but finding specific resources is often difficult because they are not uniformly classified and organized on the net, and there are no user-friendly interface/tools that facilitate search. This research project aims at identifying best practices and developing guidelines for web searching in language teacher education. The research questions addressed are: How do (language) teachers search for resources on the Web? What categories of resources? What strategies do they adopt for selecting, assessing and sharing resources? We interviewed and recorded six expert teachers about their web searches for educational purposes; we video-recorded their web searching tasks while they were commenting on their online choices through think-aloud protocols. The results of data analysis show main trends in the strategies used by these expert teachers: personalization of the web searching process by accessing websites suggested by trusted colleagues offline or online; selecting trustworthy websites of well-known institutions; relevance of resources not created for educational purposes; need for adaptation and re-contextualization of resources; web searches for class activities as a reflection on teaching practice and personal development. Ultimately web searching is a heuristic process of personal and collective learning for professional purpose in a lifelong perspective.
DOI: 10.15468/ckcdpy
title: Macaulay Library Audio and Video Collection

description: The Macaulay Library is the world's largest and oldest scientific archive of biodiversity audio and video recordings. Our mission is to collect and preserve recordings of each species' behavior and natural history, to facilitate the ability of others to collect and preserve such recordings, and to actively promote the use of these recordings for diverse purposes spanning scientific research, education, conservation, and the arts.
DOI: 10.15468/dl.0s8yak
title: Occurrence Download

description: A dataset containing 28845 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peucaea cassinii (Woodhouse, 1852)"
 ]
}

 The dataset includes 28845 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044169-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/zwtpo2
title: FMNH Mammals Collections

description: FMNH Mammals Collections records
DOI: 10.17632/c8g7smdgzs.1
title: Fly ash concrete

description: Dataset contains 471 data point on the compressive strength of concrete using fly ash.
DOI: 10.21338/ess4e04_5
title: ESS4 - integrated file, edition 4.5 (Austria and Lithuania not included)
DOI: 10.25584/pnnldh/1884308
title: SERDP PFAS Database

description: The PNNL-PFAS database was constructed to provide quantitative infrared spectra of per- and polyfluoroalkyl substances (PFAS) in the gas phase. These fluorine-rich, organic compounds have been used as non-flammable solvents, cleaning agents, and in the manufacture of a diverse variety of consumer products. Due to their widespread use and relative inertness, PFAS have accumulated in the natural environment, and exposure to these chemicals may be linked to harmful health effects. Development of methods for detecting and remediating PFAS contamination are thus active areas of research. This database supports PFAS investigations where gas-phase infrared signatures may be measured (e.g., during treatment by thermal decomposition). The database currently contains infrared spectra for 15 compounds; these were selected based on the potential of these compounds being thermal degradation products of the manufactured chemicals mentioned above. • Additional compounds will be added to the database in the future. • Additional information about the database may be obtained from [link to future paper about the PFAS database].
DOI: 10.5281/zenodo.10887716
title: Model Weights and Data
DOI: 10.5281/zenodo.2651640
title: BIDS Data for "An Optimized Registration Workflow and Standard Geometric Space for Small Animal Brain Imaging"

description: Base data package for the “An Optimized Registration Workflow and Standard Geometric Space for Small Animal Brain Imaging” article, formatted corresponding to the Brain Imaging Data Structure.
DOI: 10.5281/zenodo.3338373
title: MUSDB18-HQ - an uncompressed version of MUSDB18

description: MUSDB18-HQ is the uncompressed version of the MUSDB18 dataset. It consists of a total of 150 full-track songs of different styles and includes both the stereo mixtures and the original sources, divided between a training subset and a test subset. Its purpose is to serve as a reference database for the design and the evaluation of source separation algorithms. The objective of such signal processing methods is to estimate one or more sources from a set of mixtures, e.g. for karaoke applications. It has been used as the official dataset in the professionally-produced music recordings task for SiSEC 2018, which is the international campaign for the evaluation of source separation algorithms. <em>musdb18-hq</em> contains two folders, a folder with a training set: “train”, composed of 100 songs, and a folder with a test set: “test”, composed of 50 songs. Supervised approaches should be trained on the training set and tested on both sets. All files from the <em>musdb18-hq</em> dataset are saved as uncompressed wav files. Within each track folder, the user finds mixture.wav drums.wav bass.wav, other.wav, vocals.wav All signals are stereophonic and encoded at 44.1kHz. <strong>LICENSE</strong> MUSDBHQ: is provided for educational purposes only and the material contained in them should not be used for any commercial purpose without the express permission of the copyright holders: 100 tracks are taken from the DSD100 data set, which is itself derived from The ‘Mixing Secrets’ Free Multitrack Download Library. Please refer to this original resource for any question regarding your rights on your use of the DSD100 data.<br> 46 tracks are taken from the MedleyDB licensed under Creative Commons (BY-NC-SA 4.0).<br> 2 tracks were kindly provided by Native Instruments originally part of their stems pack.<br> 2 tracks a from from the Canadian rock band The Easton Ellises as part of the heise stems remix competition, licensed under Creative Commons (BY-NC-SA 3.0). <strong>REFERENCE</strong> If you use the MUSDB dataset for your research - Cite the MUSDB18 Dataset <pre><code>@misc{MUSDB18HQ, author = {Rafii, Zafar and Liutkus, Antoine and Fabian-Robert St{\"o}ter and Mimilakis, Stylianos Ioannis and Bittner, Rachel}, title = {{MUSDB18-HQ} - an uncompressed version of MUSDB18}, month = dec, year = 2019, doi = {10.5281/zenodo.3338373}, url = {https://doi.org/10.5281/zenodo.3338373} }</code></pre> If compare your results with SiSEC 2018 Participants - Cite the SiSEC 2018 LVA/ICA Paper <pre><code>@inproceedings{SiSEC18, author="St{\"o}ter, Fabian-Robert and Liutkus, Antoine and Ito, Nobutaka", title="The 2018 Signal Separation Evaluation Campaign", booktitle="Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Surrey, UK", year="2018", pages="293--305" }</code></pre>
description: __LICENSE AGREEMENT__: MUSDB18HQ is provided for educational purposes only and the material contained in them should not be used for any commercial purpose without the express permission of the copyright holders.
DOI: 10.5281/zenodo.5796988
title: Medieval manuscripts and their migrations: Using SPARQL to investigate the research potential of an aggregated Knowledge Graph

description: This dataset contains the <strong>SPARQL queries</strong> presented and discussed in our article published in <em>Digital Medievalist</em> 2022 (as a PDF file), together with the <strong>results of those queries</strong> as CSV files. The query and step numbering follows that given in the article. The queries can be run against the SPARQL endpoint for the <strong>Mapping Manuscript Migrations</strong> project: https://ldf.fi/mmm/sparql The full <strong>Mapping Manuscript Migrations dataset </strong>can also be downloaded from the Zenodo repository and installed in your own triple store: https://zenodo.org/record/4440464 When copying and pasting these SPARQL queries into a SPARQL client like YASGUI, please check that the line numbering has been copied over correctly. Copying from a PDF file can sometimes break a single long line into multiple separate lines, which will cause a SPARQL validation error. The CSV files contain the results of the queries when run against the Mapping Manuscript Migrations SPARQL endpoint as of 17 December 2021. Please note that Query 2, Step 2, produces no results, so a CSV file has not been provided. The<strong> Mapping Manuscript Migrations portal </strong>can be found at https://mappingmanuscriptmigrations.org/en/ SPARQL tutorials are included in the project's <strong>GitHub documentation</strong>: https://mapping-manuscript-migrations.github.io/
description: Funded by the Trans-Atlantic Platform Digging into Data Challenge through the Economic and Social Research Council (UK), the Institute of Museum and Library Services (US), the Academy of Finland, and the Agence nationale de recherche (France).
DOI: 10.5281/zenodo.6418236
title: IoT nodes movement and job requests

description: This dataset contains information about the movements of IoT nodes in an urban area with a 22KM x 8 KM dimension. The workload that is created by these nodes is originated from the requests submitted by these IoT nodes. Every event is logged with a timestamp along with other required information. Dataset files are in CSV format.
DOI: 10.6073/pasta/b888ac006ef4ca601f63e2703d7476b9
title: Time series of high-frequency sensor data measuring water temperature, dissolved oxygen, conductivity, specific conductivity, total dissolved solids, chlorophyll a, phycocyanin, and fluorescent dissolved organic matter at discrete depths in Falling Creek Reservoir, Virginia, USA in 2018-2019

description: Depth profiles of water temperature on 1-m intervals from 0.1 to 9 m depth; dissolved oxygen at 1, 5, and 9 m depth; and conductivity, specific conductance, chlorophyll a, phycocyanin, total dissolved solids, and fluorescent dissolved organic matter at 1 m depth were collected with a suite of high-frequency sensors at Falling Creek Reservoir (Vinton, Virginia, USA) on the 10-minute scale in 2018-2019. Falling Creek Reservoir is owned and managed by the Western Virginia Water Authority as a primary drinking water source for Roanoke, Virginia. This data product consists of one dataset compiled from water temperature data measured at multiple depths by thermistors, two dissolved oxygen sensors at multiple depths, and a sonde that measures temperature, dissolved oxygen, conductivity, specific conductance, chlorophyll a, phycocyanin, total dissolved solids, and fluorescent dissolved organic matter measured at the deepest site of the reservoir adjacent to the dam.
DOI: 10.6073/pasta/ea47ae493c7025d61245287649895e60
title: Time series of high-frequency meteorological data at Falling Creek Reservoir, Virginia, USA 2015-2019

description: This dataset consists of meteorological variables measured by a research-grade Campbell Scientific meteorological station deployed on the dam of Falling Creek Reservoir. Falling Creek Reservoir (Vinton, Virginia, USA), is owned and operated by the Western Virginia Water Authority as a primary water source. The meteorological variables include photosynthetically active radiation, barometric pressure, ambient air temperature, relative humidity, rainfall, wind speed and direction, shortwave radiation, infrared radiation, and albedo. All variables were measured every 5 minutes from 2015-07-07 16:45:00 to 2015-07-13 12:20:00 (YYYY-MM-DD hh:mm:ss) and every minute thereafter to the end of the dataset at 2019-12-31 23:59:00. We applied substantial substantial quality assurance/quality control protocols to the raw observations, as described therein.
DOI: 10.6073/pasta/eecfa7ba08f9ee233ece6df0e9cbcb3a
title: Ice cover data for Falling Creek Reservoir, Vinton, Virginia, USA for 2013-2019

description: Ice cover was recorded at Falling Creek Reservoir (Vinton, Virginia, USA) using multiple methods in 2013-2019. Falling Creek Reservoir is owned and operated by the Western Virginia Water Authority as a primary drinking water source for Roanoke, Virginia, and is one of the southernmost waterbodies in the United States that exhibits ice cover during the winter. Given incipient climate change, Falling Creek Reservoir's ice cover data represents an important record of warming for waterbodies in the southeastern United States. Ice cover presence was assessed using multiple methods: visual observation of ice spanning the deep hole (from an observer standing on the reservoir's dam); water temperature data from sensors deployed at the reservoir's deepest site; and upwelling shortwave radiation from a meteorological station deployed on a metal structure that is located over the reservoir's deep hole.
DOI: 10.6084/m9.figshare.156395
title: 2nd year Drosophila Developmental Genetics practical

description: This is the teaching material for the <em>Drosophila</em> module of the Developmental Genetics RSM (research skills module) held at the Faculty of Biology, Medicine and Health of The University of Manchester each year. This practical course runs over 6 days and is organised and supervised by Andreas Prokop. This module has been taught and optimised over a few years. Emphasis is on: <em>1) Drosophila</em> as a model system in research 2) the use of fly genetics (transgenic approaches and mutations) in combination with histological techniques to study mechanisms of development 3) transferable skills including how to design figures and their legends, how to compose laboratory protocols and how to file data securely This module also shows how practical work can be intercalated with exercises on applied fly genetics training, thus filling gaps in experimental protocols with useful activities, enriching the learning outcome and enhancing the fundamental understanding of <em>Drosophila</em> as a model organism. To make this genetics training accredited even on large courses, a novel hybrid e-assessment strategy has been developed, and we regularly apply it on our courses (50-65 students). This e-assessment and its principal strategies have been published in the G3 journal and a test exam is available online (3rd link below). Please, submit any comments in the comment box below or contact me directly: Andreas.Prokop@manchester. ac.uk Note, that a Powerpoint presentation "Roote+Prokop-SupplMat-3.ppt" is required on this module. It can be accessed from the second link below. It is also directly linked out from the two manuals in this resource.
DOI: 10.6084/m9.figshare.1579166
title: Uptake of SmartFlare (Spherical Nucleic Acids) in HeLa cells: Transmission Electron Microscopy results

description: This data set is part of an open science project which aims at elucidating the fate and reliability of SmartFlares. CELL CULTURE AND LABELLING HeLa cells were seeded at 500,000 cells per well of a 35mm polystyrene dish.The Cy3-VEGF SmartFlare was reconstituted into 1 mL of nuclease free water. 20 μL of the Cy3-VEGF SmartFlare was added to 980 μL MEM medium, which also contains Fetal Bovine Serum (FBS), non-essential amino acids and 1% penicillin and streptomycin.Existing medium was removed from the settled cells and a 2 mL PBS wash was carried out twice. Once all PBS was removed 1 mL of the SmartFlare/medium mixture was added to the cells. The cells were then placed back into a 37°C, 5% CO2 incubator for 18 hours. CELL FIXATION AND PROCESSING After 18h incubation, cells were fixed with a solution containing 1% paraformaldehyde and 3% gluteraldehyde in 0.1 M cacodylate buffer (pH 7.4). They were stained first with reduced osmium (2% OsO4 + 1.5% K4[Fe(CN)6]). This was followed by a 2nd osmium staining (2% OsO4) and a uranyl acetate (1%) staining. Samples were then dehydrated in graded ethanol (30%, 50%, 70%, 90% and 2x 100%). Finally, samples were infiltrated with medium TAAB resin 812 and embedded with the same resin. The resin was cured for 48h at 60°C. Ultrathin sections of 350μm x 350μm x 74 nm were cut and placed in 200 mesh Formvar/Carbon filmed grids. They were post-stained with uranyl acetate and lead citrate before TEM imaging. IMAGING Cells were imaged on an Tecnai G3 spirit. Cells were imaged first at low magnification (~2900x) and also at higher (~6800x) magnification in the same area.