cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/155419
title: TSG (Thermosalinograph) data collected during research cruise AT50-10 using a SeaBird SBE-45 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.4121/6e5f65f6-530f-438d-8e43-3593e259aaba.v2
title: Data underlying the publication: Hydrological consequences of controlled drainage with subirrigation

description: Controlled drainage with subirrigation (CD-SI) could be a viable measure to i) retain, ii) recharge, and iii) discharge recharge fresh water in agricultural fields. Four field CD-SI pilots with varying geohydrological conditions in the sandy Pleistocene uplands in the Netherlands were monitored (minimum 5 years) to study the effects on groundwater level, soil moisture content and soil water potential. Measurements include time series of groundwater level, soil moisture content, ditch level and CD-SI crest level, pit levels, and water supply. Field data were used for dynamic modelling with the agro-hydrological model Soil-Water-Atmosphere-Plant (SWAP). Calibrated SWAP models were used to i) model CD-SI systems dynamically and ii) model the hydrological consequences of subirrigation. Field measurements on four experimental plots showed that the water supply by to CD-SI systems can be high (ranging between roughly 500 mm to 1000 mm in the field sites), but CD-SI systems are able to raises the groundwater level such that soil water availability for crops increases. Furthermore, this study showed that CD-SI systems alter the hydrological fluxes significantly. Comparison of the four experimental fields also showed that a resistance to downward flow is needed to reduce downward seepage losses. Excessive downward seepage, or drainage losses towards surface water, increase the required water supply. However, unnecessary ditch drainage losses can be avoided by adapting the surface water level to the groundwater level. The data of these field experiments are required to understand the real-world situation better, leading to better models in terms of schematization, processes modelled, and model parameter values. This study showed that field pilots varying in geohydrological conditions could be modelled acceptably well with using SWAP. Both the required water supply and the water level in the control pit of the CD-SI system were simulated dynamically, which is a key element in understanding the functioning of CD-SI systems. The process-based model results lead to insight in the water balance components, also those components that cannot be (easily) measured in the field, and for in (extreme dry or wet) meteorological conditions that were not part of the experimental periods. Based on this research a number of recommendations are given to improve the implementation and operation of CD-SI systems.
DOI: 10.5258/soton/wp00769
title: Census disaggregated gridded population estimates for Uganda (2022), version 2.0

description: Version 2.0 Updated estimates of numbers of people per grid square for 2022, using Ecopia version 2 building footprints.
DOI: 10.6084/m9.figshare.24088590
title: PV potential at national level from the publication "Europe's transport infrastructure as a solar photovoltaic energy hub".

description: PV potential at national level from the publication "Europe's transport infrastructure as a solar photovoltaic energy hub". Present the PV technical potential installed capacity and electricity generation along line transport infrastructure.
DOI: 10.6084/m9.figshare.24088590.v3
title: PV potential at national level from the publication "Europe's transport infrastructure as a solar photovoltaic energy hub".

description: PV potential at national level from the publication "Europe's transport infrastructure as a solar photovoltaic energy hub". Present the PV technical potential installed capacity and electricity generation along line transport infrastructure.
DOI: 10.7284/152793
title: Multiplexed data collected during research cruise AT50-04 using a WHOI dsLog instrument system onboard the platform RV Atlantis

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/152791
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AT50-04 using a Hawaii UHDAS instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152794
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AT50-04 using a SeaBird SBE-911+ instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152801
title: Flowmeter data collected during research cruise AT50-04 using a Thiel Thiel Flowmeter instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152795
title: Fluorometer data collected during research cruise AT50-04 using a WETLabs WETStar instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152790
title: GNSS (Global Navigation Satellite System) data collected during research cruise AT50-04 using a CCTech C-Nav 3050 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152792
title: Gravimeter data collected during research cruise AT50-04 using a Bell BGM-3 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152802
title: INS (Inertial Navigation System) data collected during research cruise AT50-04 using a iXblue Phins Surface instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152796
title: Meteorological Station data collected during research cruise AT50-04 using a Vaisala WXT520 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152797
title: Meteorological Station data collected during research cruise AT50-04 using a Vaisala WXT520 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152803
title: Multibeam Echosounder data collected during research cruise AT50-04 using a Kongsberg EM124 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152804
title: Multibeam Echosounder data collected during research cruise AT50-04 using a Kongsberg EM124 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152800
title: Radiometer data collected during research cruise AT50-04 using a Eppley RAD instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152805
title: Speedlog data collected during research cruise AT50-04 using a Furuno DS-60 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152798
title: Water Temperature data collected during research cruise AT50-04 using a SeaBird SBE-48 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/152799
title: TSG (Thermosalinograph) data collected during research cruise AT50-04 using a SeaBird SBE-45 instrument system onboard the platform RV Atlantis

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.15151/esrf-dc-1415266543
title: Modelisation of the beam spectra at BM18 as a function of the experimental setup

description: Providing an excel calculator. Parameters can be adjusted: different attenuators, filters, distance, sample environment, slits, scintillator, optics, detector. The effective spectral shape is given. Contains two excel sheets already configured to produce the spectra used for the EPR algorithm validation.
DOI: 10.5258/soton/d1437
title: Dataset supporting the University of Southampton Doctoral Thesis 'Water droplet erosion of aeroengine fan blades'

description: This dataset supports the University of Southampton Doctoral Thesis entitled 'Water Droplet Erosion of aeroengine fan blades' by Charles Burson-Thomas, 2020. The data includes raw images of high-speed videos to characterise curved-fronted jets. Nineteen sets of 128 images (captured at a rate of 500 kHz) (.tiff file format); 2432 images in total, that were used to characterised the high-speed jets, described in Chapter 4. The images were captured at a rate of 500 kHz with a Shimadzu HPV-X2 ultra-high speed camera and Sigma 105 lens. A Bowens Gemini 1000 Pro (set to 4.7) used to provide additional illumination. Licence: CC-BY Related projects/Funders: Engineering and Physical Sciences Research Council (EPSRC): PhD Studentship ref. 1685710 and Established Career Fellowship ref. EP/L026910/1.
DOI: 10.5255/ukda-sn-856797
title: Reducing Plastic Packaging and Food Waste Through Product Innovation Simulation: Packaging Innovation and Development, 2022-2023

description: This dataset was produced as part of the project: Reducing plastic packaging and food waste through product innovation simulation, funded by the NERC (Ref: NE/V010654/1). The wider project was concerned with building a Discrete Event Simulation (DES) model that can simulate food and food packaging as it moves through a household, from purchase to disposal. The dataset is qualitative in nature. The motivation for the research was to inform current and future modelling efforts, to enhance project impact. 9 semi-structured, key informant interviews were conducted with a number of packaging industry experts, recruited through Packaging Industry trade shows, LinkedIn contacts, personal networking, and through participation in the project advisory board membership. These interviews were conducted remotely and informed consent was gained for each interview. The data collection contains 8 of these interviews, as one participant withdrew from the research at the anonymisation stage. Interview transcripts are stored as .docx files. Consent forms and information sheets can be viewed as part of the data documentation.
DOI: 10.48432/9ouydx
title: LiDAR survey on 244 hectares in Ucayali, Peru in 2017.

description: The LiDAR data Ucayali (PRU_A26_2017_LiDAR) refers to the survey carried out in Ucayali region, Peru. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.5519/qd.mnx3c0ko
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4347 records)
DOI: 10.48432/4n8xsq
title: LiDAR survey on 1000 hectares in Andiroba, Paragominas, Pará, Brasil in 2013 - optional dataset.

description: The LiDAR data Fazenda Andiroba (AND_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Paragominas municipality, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/qmlxys
title: LiDAR survey on 1020 hectares in Saracá-Taquera, Oriximiná, Pará, Brasil in 2013.

description: The LiDAR data Floresta Nacional de Saracá-Taquera (FST_A01_2013_LiDAR) refers to the survey carried out in Saracá-Taquera National Forest, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.12751/g-node.ikzki6
title: Data to Brodhun et al: Neural correlates of word processing influenced by painful primes

description: Here you can find the data to the study: Brodhun C, Borelli E, Weiss T (2023). Neural correlates of word processing influenced by painful primes. PLOS ONE. DOI 10.1371/journal.pone.0295148 Abstract: The administration of painful primes has been shown to influence the perception of successively presented semantic stimuli. Painful primes lead to more negative valence ratings of pain-related, negative, and positive words than no prime. This effect was greater for pain-related than negative words. The identities of this effect’s neural correlates remain unknown. In this EEG experiment, 48 healthy subjects received noxious electrical stimuli of moderate intensity. During this priming, they were presented with adjectives of variable valence (pain-related, negative, positive, an neutral). The triggered event-related potentials were analyzed during N1 (120–180 ms), P2 (170–260 ms), P3 (300–350 ms), N400 (370–550 ms), and two late positive complex components (LPC1 [650–750 ms] and LPC2 [750–1000 ms]). Larger eventrelated potentials were found for negative and pain-related words compared to positive words in later components (N400, LPC1, and LPC2), mainly in the frontal regions. Early components (N1, P2, and P3) were less affected by the word category but were by the prime condition (painful vs. no stimulation). Later components (LPC1, LPC2) were not affected by the prime condition. An interaction effect involving prime and word category was found on the behavioral level but not the electrophysiological level. This finding indicates that the interaction effect does not directly translate from the behavioral to the electrophysiological level. Possible reasons for this discrepancy are discussed. The data repository contains raw EEG data and EEG log files as well as trigger information for Brain Vision Analyzer (compatible with EEGLAB), and subjective parameters about pain and control conditions for 48 individuals. Meta information about data structure are included. Detailed information about methods and data analysis are presented in the above-mentioned paper.
description: IsSupplementTo: Brodhun C, Borelli E, Weiss T (2023) Neural correlates of word processing influenced by painful primes. PLOS ONE. DOI:10.1371/journal.pone.0295148. (https://doi.org/10.1371/journal.pone.0295148)
DOI: 10.5281/zenodo.10192995
title: Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem

description: Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem
M. Mahdian1, R. Noori2,3,*, M.M. Salamattalab1, E. Heggy4,5, S.M. Bateni6, A. Nohegar2, M. Hosseinzadeh1, S.M. Siadatmousavi1, M.R. Fadaei7, S. Abolfathi81School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran 1684613114, Iran. 2Graduate Faculty of Environment, University of Tehran, Tehran, 1417853111, Iran. 3Faculty of Governance, University of Tehran, Tehran 1439814151, Iran. 4Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA. 5Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA. 6Department of Civil and Environmental Engineering and Water Resources Research Center, University of Hawaii at Manoa, Honolulu, HI 96822, USA. 7Niroo Research Institute, Tehran 1468613113, Iran. 8School of Engineering, University of Warwick, Coventry CV4 7AL, UK.
*Corresponding author: Roohollah Noori (noor@ut.ac.ir); ORCID: http://orcid.org/0000-0002-7463-8563
This manuscript is submitted to JGR: Atmospheres
DOI: 10.5281/zenodo.10192996
title: Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem

description: Anzali Wetland Crisis: Unraveling the Decline of Iran's Ecological Gem
M. Mahdian1, R. Noori2,3,*, M.M. Salamattalab1, E. Heggy4,5, S.M. Bateni6, A. Nohegar2, M. Hosseinzadeh1, S.M. Siadatmousavi1, M.R. Fadaei7, S. Abolfathi81School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran 1684613114, Iran. 2Graduate Faculty of Environment, University of Tehran, Tehran, 1417853111, Iran. 3Faculty of Governance, University of Tehran, Tehran 1439814151, Iran. 4Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA. 5Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA. 6Department of Civil and Environmental Engineering and Water Resources Research Center, University of Hawaii at Manoa, Honolulu, HI 96822, USA. 7Niroo Research Institute, Tehran 1468613113, Iran. 8School of Engineering, University of Warwick, Coventry CV4 7AL, UK.
*Corresponding author: Roohollah Noori (noor@ut.ac.ir); ORCID: http://orcid.org/0000-0002-7463-8563
This manuscript is submitted to JGR: Atmospheres
DOI: 10.15151/esrf-dc-1415281265
title: Demo for the Eikonal Phase Retrieval Algorithm

description: This demo consists in experimental data, instruction to install the code, scripts and configuration files to perform a reconstruction from raw data using the EPR algorithm
DOI: 10.48432/i98osl
title: LiDAR survey on 176.2 hectares in Ucayali, Peru in 2017.

description: The LiDAR data Ucayali (PRU_A01_2017_LiDAR) refers to the survey carried out in Ucayali region, Peru. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/i5brgd
title: LiDAR survey on 1000 hectares in Doutor Pedrinho, Santa Catarina, Brasil in 2013.

description: The LiDAR data Cerro Azul (CAG_A01_2013_LiDAR) refers to the survey carried out in Doutor Pedrinho municipality, Santa Catarina state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.48432/dwpqoc
title: LiDAR survey on 100 hectares in Paragominas II, Pará, Brasil in 2013 - optional dataset.

description: The LiDAR data Paragominas (PRG_A01_2013_LiDAR_optional_data_set) refers to the survey carried out in Paragominas municipality, Pará state, Brazil. The data were collected under the project Sustainable Landscapes, a project supported by the United States Agency for International Development (USAID) and US Department of State. The United States Forest Service working in collaboration with the Brazilian Agricultural Research Corporation (Embrapa) have made possible the provision of high accuracy LiDAR data aiming at developing new methods and generating knowledge in the field. This dataset contains: a. Classified LAS formatted point cloud data – compressed LAS files: LAZ format (vendor delivered); b. Digital Terrain Model (vendor delivered); c. Map of LiDAR coverage area and block boundaries; “Data were acquired by the Sustainable Landscapes Brazil project supported by the Brazilian Agricultural Research Corporation (Embrapa), the US Forest Service, USAID and the US Department of State."
DOI: 10.15139/s3/n1licv
title: Early Relationship Experiences Study (EROS), [2023]

description: The study is a dyadic longitudinal study spanning seven time points over 1.5 years. Couples were recruited online from Canada and the United States. At the first time point, couples (N=200) were between 6 and 12 months into their relationship (i.e., in the first year of dating). The study was approved by our research ethics board at York University (e2019-041) See the attached document for an overview of the measures across timepoints. We asked about their sex life and relationship (including gratitude, appreciation, sacrifice) at each timepoint.