cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/454kxn8jrg.2
title: Quantified images plus videos of iron and manganese reduction of IRIS films in hypersaline soils

description: These data belong to the research project (AQUASALT), EraNET that in Spain has been supported by grant PCI2018-09299 funded by MCIN/AEI/10.13039/50110 0 011033 and co-funded by the European Union. The data corresponds to the Spanish study area, the Salineta inland saline wetland (41°28'55.34"N, 0° 9'23.59"W) located 60 km far from Zaragoza city, in one of the most arid areas of the Central Ebro Basin, NE Spain. In this project we studied the redox conditions of the hypersaline soils in Salineta playa-lake, which are subjected to intermittent flooding, along a period of 17 months, in 2019 and 2020. The data were obtained during the monitoring of the soil redox conditions using IRIS (Indicators of Reduction in Soils) films and clear IRIS tubes coated with iron oxide and manganese oxide and supplied by the Prof. Martin Rabenhorst and Dr. Brian Scott, from the University of Maryland, USA. The monitoring of the IRIS films consisted on the quantification of the oxide-coating removed from the films. The oxide-coating of the films was reduced and then dissolved due to the microbial action. Firstly, the manganese-oxide coated films and later the iron-oxide coated films lost gradually their cover paint until showing the white underlying PVC film without paint.
Content: This dataset comprises 20 folders corresponding to the 10 iron plus 10 manganese IRIS film samplings in Salineta playa-lake. Each IRIS sampling includes also a video obtained with the clear IRIS tubes installed close to the IRIS films. We followed the method and camera instrument described in Scott et al. (2021) (DOI: 10.1002/saj2.20171). The videos of the soil allowed the direct monitoring of the oxide-paint removal and guided the successive sampling of the IRIS films. Each sampling included the video-image monitoring of the clear-IRIS tubes and the retrieval of three replicates of Fe and Mn IRIS films. Each folder contains the field photographs of the three iron or manganese films sampled. The photographs were processed: after cropping to the area of interest, they were binarized and the reduced (white) area of the film was then quantified. The numbering of the folders follows the order of sampling, from 1 to 10, and folders are labeled with F for iron and with M for manganese films.
The Excel worksheet included in the present dataset contains the quantification data of the oxide-coating removed from iron and manganese films, together with the quantification of the black sulfides deposited on the iron films. The film area under reducing conditions (white PVC film) is expressed in percentage of the total film area. This percentage of paint removed has been calculated: 1) for every cm of the film depth (50 cm), 2) in the upper 0-30 cm of the film, and 3) in the total length of the film (0-50 cm). The removal rate indicates the reducing conditions evolution and intensity in the studied soils of the saline wetland.
DOI: 10.57754/fdat.785z8-g0r75
title: ERP experiment on the processing of idiomatic expressions

description: This experimental data was created in the context of the project B9 Getting a Grip on Non-Literal Meaning; The Dynamics of Understanding Idiomatic Expressions in Language Learners. It is an ERP experiment.
In this experiment we tested online processing mechnisms for idiomatic expressions in native adults and ten-year-old children. Participants listened (adults and children) or listened (adults) to idiomatic expressions. The final words were either (i) correct idiomatatic completions, (ii)  words semantically related to the correct idiomatic completion or (iii) unrelated words. We measured amplitudes using EEG methods to compare event-related potentials  to final words. Using this paradigm we aimed to measure (1) whether participant groups predict idiom-final words and (2) whether they activate constituent meanings within idioms.
description: Research carried out in work package B09 of the SFB 833.
DOI: 10.17632/3fcrrdjjvk.1
title: Main engine journal bearings vibrations dataset of automobile internal combustion under diverse climatic and varying operating conditions

description: The dataset includes vibration signatures from both healthy and faulty main engine journal bearings, captured with a tri-axial accelerometer mounted on the bearings' housing of an internal combustion engine. The engine was exposed to various climatic and operational conditions following MIL-STD-810G and was tested in a state-of-the-art climatic and vibration chamber to simulate real-world scenarios. The dataset comprises more than 500 files, with healthy and faulty bearings, each recorded under a range of climatic and operational conditions. This dataset is a valuable and reliable benchmark for researchers and practitioners to validate their diagnostic algorithms and models against real engine conditions as no such dataset is publicly available..
DOI: 10.17632/k527rfpyfw.1
title: A cell-based model for size control in the multiple fission alga Chlamydomonas reinhardtii

description: Original microscopy data and ImageJ plugins in the article "A cell-based model for size control in the multiple fission alga Chlamydomonas reinhardtii"
DOI: 10.17632/jfhgf47gzf.1
title: Chimpanzee ground and tree nest half-lives

description: Dataset, basic script and work spaces to estimate the chimpanzee ground and tree nest nest half-lives.
DOI: 10.17632/rgytsxdtrx.1
title: Alkalinity and major ions in the water column of the Gdańsk Basin (southern Baltic Sea) in summer 2023

description: Total alkalinity and concentration of major ions (chloride, sulfate, sodium and calcium) was was analyzed in the water column of three stations located in the Gdańsk Basin (southern Baltic Sea). Samples were collected during a cruise aboard the RV Oceanograf (owned by the University of Gdańsk) from July 28 to July 31, 2023. Station depths were 52 m for MET2 and 82 m for MET1-MP and MET1-REF.
DOI: 10.17632/ftkktcpmjy.1
title: Visual progression of chimpanzee ground and tree nests decay

description: Visual progression (photos of nests taken at each revisit) of the nest decay of 15 ground and 19 tree nests (nest sites NS135 and NS191). The study has been conducted in the Central Forest Reserve of Bugoma, Uganda.
DOI: 10.17632/7kkw3fvmp7
title: LDHU3_18.0160

description: Serine/threonine protein phosphatase type 5 | PP5; Leishmania donovani (HU3 strain)
DOI: 10.17632/7kkw3fvmp7.1
title: LDHU3_18.0160

description: Serine/threonine protein phosphatase type 5 | PP5; Leishmania donovani (HU3 strain)
DOI: 10.17632/jj4sskstft.1
title: LDHU3_18.0090

description: NADH-ubiquinone oxidoreductase complex I subunit | NDUFA9 ortholog; Leishmania donovani (HU3 strain)
DOI: 10.17632/ncthx3yzs9.1
title: Chimpanzee nest decay time lapse sequences

description: Time-lapse sequences of ground nests N135B, N135F and N191J and tree nest N135D. The study has been conducted in the Central forest Reserve of Bugoma, Uganda.
DOI: 10.17632/7fx3xgmj75.1
title: LDHU3_09.1840

description: Cytochrome b5-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/s3jmtty2dd.1
title: Contrasting alterations in brain chemistry in a crustacean intermediate host of two acanthocephalan parasites

description: Raw data on brain chemistry (total protein, antioxidant capacity and monoamines) in the amphipod Gammarus fossarum, infected with acanthocephalan parasites (Pomphorhynchus terreticollis and Polymorphus minutus):
• Parasite-induced behavioral changes may rely on host adaptive behavioral flexibility 
• Brain chemistry mediating flexibility may be altered in acanthocephalan-infected host
• Brain total protein is higher in intermediate host infected by two acanthocephalans
• Antioxidant capacity is decreased by one parasite, dopamine content is increased by the other
• Species- and season-specific neurochemical changes reflect variable host response
DOI: 10.17632/6htty9nxjz.1
title: A PARP2 active site alpha-helix melts to permit DNA damage-induced enzymatic activation; Smith-Pillet, et al

description: Original gel images
DOI: 10.17632/tpm84dntr9.1
title: LINF_330042900

description: delta-12 fatty acid desaturase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fnkg2zc76f.1
title: Ga concentration in 142°E section

description: The original data of Ga concentration, salinity, temperature and dissolved oxygen in 142°E section.
DOI: 10.17632/85rdyyzxnf.1
title: LDHU3_10.0010

description: delta-12 fatty acid desaturase; Leishmania donovani (HU3 strain)
DOI: 10.17632/cz624xm3pr.1
title: LDHU3_09.1850

description: Cytochrome b5-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/w942hgr73b.1
title: LDHU3_18.0270

description: 60S ribosomal protein L7; Leishmania donovani (HU3 strain)
DOI: 10.17632/wznn9rzzr4.1
title: LINF_340009950

description: Hypothetical protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/3mdyg53c94.1
title: ROI: A method for identifying organizations receiving personal data

description: Article Contributions
This file enumerates and explains the distribution of the datasets in the files.

Privacy Policies dataset
This dataset ["Policies_urls.csv"] contains 142 privacy policy URLs with the corresponding organization. These URLs were obtained with the two
methods (Selenium & Google) described in the article. This is the reason for duplicated URLs.

300 Domain Holders
This dataset ["300_domain_holders.xlsx"] contains three different sheets for each of the datasets used for the validations
described in the article i.e. Fortune 500, PII_receivers_1 (for the technique's evaluation) and PII_receivers_2 (for ROI's evaluation).

Recipient Domains
this dataset ["Domains_receiving_PII.csv"] contains the 40,493 dataflows corresponding to the 1,112 unique domains receiving personal
data from Android apps.
DOI: 10.17632/pjtn6gdtjf.1
title: LINF_340008800

description: Conserved oligomeric complex 6 | COG6; Leishmania infantum (strain JPCM5)
DOI: 10.17632/9x52spycxx.1
title: LDHU3_10.0150

description: Dehydrogenase-like protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/pd6jvxmnff.1
title: LINF_340008700

description: RNA polymerase III subunit | RPC1; Leishmania infantum (strain JPCM5)
DOI: 10.17632/gy9n77rw6x
title: LDHU3_10.0080

description: Hypothetical protein - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/gy9n77rw6x.1
title: LDHU3_10.0080

description: Hypothetical protein - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/bfrt75n8wh.3
title: Data Management Planning Institutional Underpinnings Outputs at the University of Canberra

description: This data set is a collection of materials used to integrate Research Data Management Planning into the University of Canberra (UC). 

This work was completed as part of the outputs for the Australian Research Data Commons (ARDC) Institutional Underpinnings Project in 2022. The aim of sharing these materials is to provide awareness and allow the reproduction of the outcomes of this project at other institutions. 

Below, we briefly describe two components of this project: (1) Integration and (2) Engagement:

(1) Integrating a data management planning (DMP) tool (ReDBox) with UC's research manager (Pure) in accordance with new UC DMP Policy. We wanted a seamless workflow for researchers to create and develop a data management plan for new research projects. That is, an integrated system that is initiated when a project is awarded in Pure, spurring the creation of a ReDBox data management plan with fields pre-filled with information from the Pure project so that researchers do not need to re-fill the same information in different platforms.

(2) Raise awareness of this integration and the benefits of DMP for researchers. We wanted to educate researchers on the aims of DMP (specifically risk-management and data governance) as well as how to engage with that at UC, i.e. using Pure and ReDBox for their research projects and associated data management.

Please refer to the README contained in the Outputs folder for additional information.
DOI: 10.17632/bfrt75n8wh.4
title: Data Management Planning Institutional Underpinnings Outputs at the University of Canberra

description: This data set is a collection of materials used to integrate Research Data Management Planning into the University of Canberra (UC).

This work was completed as part of the outputs for the  (ARDC) Institutional Underpinnings (IU) Project in 2022:  https://ardc.edu.au/multi_project/australias-research-data-management-framework/ 

The aim of sharing these materials is to provide awareness and allow the reproduction of the outcomes of this project at other institutions. Below, we briefly describe two components of this project: (1) Integration and (2) Engagement:

(1) Integrating a data management planning (DMP) tool (ReDBox) with UC's research manager (Pure) in accordance with new UC DMP Policy. We wanted a seamless workflow for researchers to create and develop a data management plan for new research projects. That is, an integrated system that is initiated when a project is awarded in Pure, spurring the creation of a ReDBox data management plan with fields pre-filled with information from the Pure project so that researchers do not need to re-fill the same information in different platforms.

(2) Raise awareness of this integration and the benefits of DMP for researchers. We wanted to educate researchers on the aims of DMP (specifically risk-management and data governance) as well as how to engage with that at UC, i.e. using Pure and ReDBox for their research projects and associated data management.

Please refer to the README contained in the Outputs folder for additional information, and the project page: DOI: 10.5281/zenodo.7655390. This project was one of 25 funded in the IU initative.
DOI: 10.17632/bfrt75n8wh.1
title: Data Management Planning Institutional Underpinnings Outputs at the University of Canberra

description: This data set is a collection of materials used to establish Research Data Management Planning at the University of Canberra (UC). 

We describe two components of this project, (1) Integration and (2) Engagement. THis work was completed as part of the Outputs for the Australian Research Data Commons (ARDC) Institutional Underpinnings Project in 2022. The aim of sharing these materials is to provide awareness and allow the reproduction of these projects at other institutions. This data set consists of several items from (1) and (2). Briefly, we describe the aims of each project below:

(1) Integrating a data mangement planning (DMP) tool (ReDBox) with UC's research manager (Pure) in accordance with new UC DMP Policy. We wanted a seemless workflow for researchers to create and develop a data management plan for new research project. That is, an integrated system initiated when a project is awarded in Pure, spurring the creation of a ReDBox data management plan, with fields pre-filled with information from the Pure project.

(2) Raise awareness of this integration and the benefits of data mangement planning (DMP) for researchers. We wanted to educate researchers on the aims of DMP (risk-management and data governance) as well as how to engage in that at UC, i.e. using Pure and ReDBox for their research projects and associated data management.

Please refer to the README contained in the Outputs folder for additional information.
DOI: 10.17632/xf6rggrsn6.1
title: Eimeria tenella whole genome NGS, unsporulated oocysts and oocysts at 8 hours of sporulation

description: Unsporulated Eimeria tenella oocysts (0 hours of sporulation elapsed): 22-024020-0001_S1_L001_R_001.fasta
Eimeria tenella oocysts at 8 hours of sporulation elapsed: 22-024020-0002_S2_L001_R_001.fasta

Six additional timepoints were sequenced, see:
DOI: 10.17632/547wwd5jfr.1 (Eimeria tenella whole genome NGS, oocysts at 16 hours of sporulation and 24 hours of sporulation)
DOI: 10.17632/962ypgjnmj.1 (Eimeria tenella whole genome NGS, oocysts at 32 hours of sporulation and 64 hours of sporulation)
DOI: 10.17632/frxnm8vyys.1 (Eimeria tenella whole genome NGS, oocysts at 381 hours of sporulation and 835 hours of sporulation)

Relative abundance of each organellar genome was estimated based on the proportion of reads at each time point that mapped to the mitochondrial, apicoplast, and nuclear genomes, see: 
Kruth, P.S. (2024). Molecular Investigation of Exogenous Stages of Eimeria tenella: Expression of Fragmented Mitochondrial rDNA, Organellar Genome Dynamics, and Development of a Transcriptional Activity-Based Assay for Measuring Oocyst Viability. [Doctoral dissertation, University of Guelph, Ontario Veterinary College, Department of Pathobiology]. UofG Atrium, https://hdl.handle.net/10214/28208.
DOI: 10.17632/477hc78r4z.1
title: LINF_340011760

description: Hypothetical protein - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zzm6rv2ygy.1
title: LDHU3_18.0300

description: Hypothetical protein - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/jhk4fbzmzk
title: Data of "Dynamic Response Diagnosis of Ultrasound Field in Water Utilizing Birefringence-Zeeman Dual-Frequency Laser"

description: There are 3 types of data used in this paper，

I.Data collected from Laser Heterodyne Interferometry System
A.Spectral data measured with birefringent-Zeeman dual-frequency Laser Heterodyne Interferometry System with the ultrasonic transducer placed 4 cm directly above the laser.

II.Data collected from Laser Self-Mixing Interference System
A.The ultrasound transducer is 4cm directly above the laser and the signal generator outputs a 10Vpp sinusoidal signal with different frequencies (100kHz-900kHz) . This database is named as “Spectral data h4 output frequency 100to900(50)400to600(20)460to540(10)”
B.The ultrasound transducer is 4cm above the laser, and the signal generator outputs a 500kHz, 10Vpp sinusoidal signal, changing the ultrasound transducer in parallel relative to the laser at different positions. This database is named as “Spectral data h4 position”
C.The ultrasound transducer is directly above the laser, the signal generator outputs a 500Khz, 10Vpp sinusoidal signal, while the position of the ultrasound transducer relative to the laser is vertically varied (4cm-1cm). This database is named as “Spectral data h4-h1”
D.The ultrasonic transducer is 4 cm directly above the laser, and the signal generator outputs a 500 kHz, 10 Vpp sinusoidal signal, with spectral data measured using the Laser Self-Mixing Interference System.
E.The ultrasound transducer is 4cm directly above the laser and the signal generator outputs a 500kHz, 10Vpp rectangular wave signal, a sawtooth wave (100) signal. This database is named as “Waveform Data”

III.Data collected from Birefringence-Zeeman Dual Frequency Laser Cavity Length Measurement 
A.Frequency domain signal of Birefringence-Zeeman Dual Frequency Laser.

Description of data use：

Data II.A.B.C can be used to determine, under self-mixing interference conditions, the relationship between the number of peaks in the measured frequency domain and the independent variable, as well as the relationship between the amplitude of the sub-peaks and the independent variable. This relationship is described in detail in the Discussion section of the paper.

Data I.A and Data II.D can be used to compare the measurement results of two methods: laser heterodyne interference and laser self-mixing interference. These are described in detail in the Experiments section of the paper.

Data II.E can be observed for the ultrasonic modulation results corresponding to different waveforms generated by the ultrasonic transducer in the time domain. This relationship is described in detail in the Discussion section of the paper.

Data III.A can be used to measure the cavity length of the resonator.
DOI: 10.17632/jhk4fbzmzk.1
title: Data of "Dynamic Response Diagnosis of Ultrasound Field in Water Utilizing Birefringence-Zeeman Dual-Frequency Laser"

description: There are 3 types of data used in this paper，

I.Data collected from Laser Heterodyne Interferometry System
A.Spectral data measured with birefringent-Zeeman dual-frequency Laser Heterodyne Interferometry System with the ultrasonic transducer placed 4 cm directly above the laser.

II.Data collected from Laser Self-Mixing Interference System
A.The ultrasound transducer is 4cm directly above the laser and the signal generator outputs a 10Vpp sinusoidal signal with different frequencies (100kHz-900kHz) . This database is named as “Spectral data h4 output frequency 100to900(50)400to600(20)460to540(10)”
B.The ultrasound transducer is 4cm above the laser, and the signal generator outputs a 500kHz, 10Vpp sinusoidal signal, changing the ultrasound transducer in parallel relative to the laser at different positions. This database is named as “Spectral data h4 position”
C.The ultrasound transducer is directly above the laser, the signal generator outputs a 500Khz, 10Vpp sinusoidal signal, while the position of the ultrasound transducer relative to the laser is vertically varied (4cm-1cm). This database is named as “Spectral data h4-h1”
D.The ultrasonic transducer is 4 cm directly above the laser, and the signal generator outputs a 500 kHz, 10 Vpp sinusoidal signal, with spectral data measured using the Laser Self-Mixing Interference System.
E.The ultrasound transducer is 4cm directly above the laser and the signal generator outputs a 500kHz, 10Vpp rectangular wave signal, a sawtooth wave (100) signal. This database is named as “Waveform Data”

III.Data collected from Birefringence-Zeeman Dual Frequency Laser Cavity Length Measurement 
A.Frequency domain signal of Birefringence-Zeeman Dual Frequency Laser.

Description of data use：

Data II.A.B.C can be used to determine, under self-mixing interference conditions, the relationship between the number of peaks in the measured frequency domain and the independent variable, as well as the relationship between the amplitude of the sub-peaks and the independent variable. This relationship is described in detail in the Discussion section of the paper.

Data I.A and Data II.D can be used to compare the measurement results of two methods: laser heterodyne interference and laser self-mixing interference. These are described in detail in the Experiments section of the paper.

Data II.E can be observed for the ultrasonic modulation results corresponding to different waveforms generated by the ultrasonic transducer in the time domain. This relationship is described in detail in the Discussion section of the paper.

Data III.A can be used to measure the cavity length of the resonator.
DOI: 10.17632/5sypgsryzs.1
title: LDHU3_10.0160

description: NOP127; Leishmania donovani (HU3 strain)