cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23671944
title: A survey of neuropsychological assessment feedback practices among neuropsychologists

description: Feedback on neuropsychological assessment is a critical part of clinical practice, but there are few empirical papers on neuropsychological feedback practices. We sought to fill this gap in the literature by surveying practicing neuropsychologists in the United States. Questions addressed how they provide verbal and written feedback to patients and referral sources. Survey questions also addressed billing practices and training in the provision of feedback. A survey was developed using Qualtrics XM to survey currently licensed, independently practicing clinical neuropsychologists in the United States about their feedback practices. The survey was completed by 184 individuals. Nearly all respondents reported that they provide verbal feedback to patients, most often in-person, within three weeks following testing. Typically, verbal feedback sessions with patients last 45 min. Verbal feedback was provided to referrals by about half of our sample, typically <i>via</i> a brief phone call. Most participants also reported providing written feedback to both the patient and referring provider, most commonly <i>via</i> the written report within three weeks after testing. Regarding billing, most respondents use neuropsychological testing evaluation codes. The COVID-19 pandemic appeared to have had a limited impact on the perceived effectiveness and quality of verbal feedback sessions. Finally, respondents reported that across major stages of professional development, training in the provision of feedback gradually increased but was considered inadequate by many participants. Results provide an empirical summary of the “state of current practice” for providing neuropsychological assessment feedback. Further experimental research is needed to develop an evidence-base for effective feedback practices.
DOI: 10.6084/m9.figshare.23671944.v1
title: A survey of neuropsychological assessment feedback practices among neuropsychologists

description: Feedback on neuropsychological assessment is a critical part of clinical practice, but there are few empirical papers on neuropsychological feedback practices. We sought to fill this gap in the literature by surveying practicing neuropsychologists in the United States. Questions addressed how they provide verbal and written feedback to patients and referral sources. Survey questions also addressed billing practices and training in the provision of feedback. A survey was developed using Qualtrics XM to survey currently licensed, independently practicing clinical neuropsychologists in the United States about their feedback practices. The survey was completed by 184 individuals. Nearly all respondents reported that they provide verbal feedback to patients, most often in-person, within three weeks following testing. Typically, verbal feedback sessions with patients last 45 min. Verbal feedback was provided to referrals by about half of our sample, typically <i>via</i> a brief phone call. Most participants also reported providing written feedback to both the patient and referring provider, most commonly <i>via</i> the written report within three weeks after testing. Regarding billing, most respondents use neuropsychological testing evaluation codes. The COVID-19 pandemic appeared to have had a limited impact on the perceived effectiveness and quality of verbal feedback sessions. Finally, respondents reported that across major stages of professional development, training in the provision of feedback gradually increased but was considered inadequate by many participants. Results provide an empirical summary of the “state of current practice” for providing neuropsychological assessment feedback. Further experimental research is needed to develop an evidence-base for effective feedback practices.
DOI: 10.5281/zenodo.10803379
title: profile01

description: A set of an STM data produced by LT STM/FM Qplus microscope with STM profile height files. The data were evaluated for publication : Jałochowski, M.; Kwapiński, T. Distribution of Electron Density in Self-Assembled One-Dimensional Chains of Si Atoms. Materials 2023, 16, 6044. https://doi.org/10.3390/ma16176044
description: Files 'profil 21*.jpg' and 'profil 22*.jpg' contain STM topographic images of the Si(553)-Au sample. The STM bias voltage is included in the file name. On each image, a box is drawn to mark the data selected for the profile line. File 'profiles001.jpg' contains the collected lin

In the sub-directory ‘profile Z22-4 -1V’, files with names from ‘01.jpg’ to ‘16.jpg’ contain STM topographic images of the Si(553)-Au sample with a line drawn to mark the profile position. STM images were recorded with a sample bias of -1V. The files with the same name but with the extension ‘.asc’ are line profiles of the corresponding images Files with the names '50pA -1V.jpg', 'Oct 26 20.34.38 2021 [27-1] STM_Spectroscopy STM +0_5V 50pA.jpg', 'profil 22-4-1_0V', 'profiles001.jpg', 'profiles002.jpg', and 'stm_profil_07.m' are intermediate files with supporting data. In the sub-sub-directory ‘profile -1V.jpg’ files with names from ’01.jpg’ to 16.jpg’ are STM topographic images of the Si(553)-Au sample with a sample bias of -1V  and a line drawn to mark the profile position.  File ‘50pA -1V.jpeg’ contains the collected the corresponding line profiles. 



In the sub-directory ‘profile Z22-5 +1V’, files with names from ‘01.jpg’ to ‘16.jpg’ contain STM topographic images of the Si(553)-Au sample with a line drawn to mark the profile position. STM images were recorded with a sample bias of +1V. The files with the same name but with the extension ‘.asc’ are line profiles of the corresponding images. Files with the names '50pA +1V.jpg', 'profiles001.jpg', 'profiles002.jpg', 'stm_profil_05.m', and 'stm_profil_07.m' are intermediate files with supporting data. In the sub-sub-directory ‘profile +1V.jpg’, files with names from ‘01.jpg’ to ‘16.jpg’ are STM topographic images of the Si(553)-Au sample with a sample bias of +1V and a line drawn to mark the profile position. File ‘50pA +1V.jpeg’ contains the corresponding collected line profiles.
DOI: 10.5281/zenodo.10803380
title: profile01

description: A set of an STM data produced by LT STM/FM Qplus microscope with STM profile height files. The data were evaluated for publication : Jałochowski, M.; Kwapiński, T. Distribution of Electron Density in Self-Assembled One-Dimensional Chains of Si Atoms. Materials 2023, 16, 6044. https://doi.org/10.3390/ma16176044
DOI: 10.5281/zenodo.10845955
title: profile01

description: A set of an STM data produced by LT STM/FM Qplus microscope with STM profile height files. The data were evaluated for publication : Jałochowski, M.; Kwapiński, T. Distribution of Electron Density in Self-Assembled One-Dimensional Chains of Si Atoms. Materials 2023, 16, 6044. https://doi.org/10.3390/ma16176044
DOI: 10.5281/zenodo.10853089
title: profile01

description: A set of an STM data produced by LT STM/FM Qplus microscope with STM profile height files. The data were evaluated for publication : Jałochowski, M.; Kwapiński, T. Distribution of Electron Density in Self-Assembled One-Dimensional Chains of Si Atoms. Materials 2023, 16, 6044. https://doi.org/10.3390/ma16176044
description: Files 'profil 21*.jpg' and 'profil 22*.jpg' contain STM topographic images of the Si(553)-Au sample. The STM bias voltage is included in the file name. On each image, a box is drawn to mark the data selected for the profile line. File 'profiles001.jpg' contains the collected lin

In the sub-directory ‘profile Z22-4 -1V’, files with names from ‘01.jpg’ to ‘16.jpg’ contain STM topographic images of the Si(553)-Au sample with a line drawn to mark the profile position. STM images were recorded with a sample bias of -1V. The files with the same name but with the extension ‘.asc’ are line profiles of the corresponding images Files with the names '50pA -1V.jpg', 'Oct 26 20.34.38 2021 [27-1] STM_Spectroscopy STM +0_5V 50pA.jpg', 'profil 22-4-1_0V', 'profiles001.jpg', 'profiles002.jpg', and 'stm_profil_07.m' are intermediate files with supporting data. In the sub-sub-directory ‘profile -1V.jpg’ files with names from ’01.jpg’ to 16.jpg’ are STM topographic images of the Si(553)-Au sample with a sample bias of -1V  and a line drawn to mark the profile position.  File ‘50pA -1V.jpeg’ contains the collected the corresponding line profiles. 



In the sub-directory ‘profile Z22-5 +1V’, files with names from ‘01.jpg’ to ‘16.jpg’ contain STM topographic images of the Si(553)-Au sample with a line drawn to mark the profile position. STM images were recorded with a sample bias of +1V. The files with the same name but with the extension ‘.asc’ are line profiles of the corresponding images. Files with the names '50pA +1V.jpg', 'profiles001.jpg', 'profiles002.jpg', 'stm_profil_05.m', and 'stm_profil_07.m' are intermediate files with supporting data. In the sub-sub-directory ‘profile +1V.jpg’, files with names from ‘01.jpg’ to ‘16.jpg’ are STM topographic images of the Si(553)-Au sample with a sample bias of +1V and a line drawn to mark the profile position. File ‘50pA +1V.jpeg’ contains the corresponding collected line profiles.
DOI: 10.5281/zenodo.10842122
title: TB calculations

description: Tight binding calculations calculations for publication in Materials:  https://doi.org/10.3390/ma16176044. Readme files explain the meaning of the data.
description: The file ‘main.f90’ contains the program code written in Fortran90 for numerical calculations of LDOS (Local Density of States), charge distribution along atomic chains placed on the surface, and for studying the STM (Scanning Tunneling Microscopy) topography of such chains. The calculations are performed within the tight-binding Hamiltonian framework, assuming a non-metallic substrate and one electronic state at each atomic site.

The directories contain files with data calculated by the main.f90 program, which include: - LDOS: Local Density of States ,- LDOS_EF: LDOS at the Fermi level,- charges: charge distribution in the chain,- bias charges: bias-window-charge (proportional to the STM current).

files 'x2' include bias-window-charges data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'. Data were obtained using main.f90 file. Each block of data represent different STM bias: V=-2.75, V=-1.0, V=-0.2, V=0.4, V=0.7, V=1.5column1: site number,column2: bias-window-charge at a given site,column3: STM bias.

Files 'lad2m3' include charges data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'. Changes were obtained from the knowledge of LDOS functions along the chain. Data were obtained using main.f90 file.column1: site number in the chain,column2: charge at each local site,column3: normalization of LDOS function (should be 1).

Files 'dos2' include LDOS data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'.

Data were obtained using main.f90 file.

column1: energy,

column2: LDOS at site 1,

column3: data of analytical calculations of LDOS,

column3: data of analytical calculations of Total DOS,

column3: LDOS at site 4,

column3: LDOS at site 5,

column3: LDOS at site 7.

 

files 'EF2' include LDOS at the Fermi level data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'.

Data were obtained using main.f90 file.

column1: site number in the chain,

column2: LDOS at the Fermi level,

column3: on-site energy.
DOI: 10.5281/zenodo.10842123
title: TB calculations

description: Tight binding calculations calculations for publication in Materials:  https://doi.org/10.3390/ma16176044. Readme files explain the meaning of the data.
DOI: 10.5281/zenodo.10853314
title: TB calculations

description: Tight binding calculations calculations for publication in Materials:  https://doi.org/10.3390/ma16176044. Readme files explain the meaning of the data.
description: The file ‘main.f90’ contains the program code written in Fortran90 for numerical calculations of LDOS (Local Density of States), charge distribution along atomic chains placed on the surface, and for studying the STM (Scanning Tunneling Microscopy) topography of such chains. The calculations are performed within the tight-binding Hamiltonian framework, assuming a non-metallic substrate and one electronic state at each atomic site.

The directories contain files with data calculated by the main.f90 program, which include: - LDOS: Local Density of States ,- LDOS_EF: LDOS at the Fermi level,- charges: charge distribution in the chain,- bias charges: bias-window-charge (proportional to the STM current).

files 'x2' include bias-window-charges data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'. Data were obtained using main.f90 file. Each block of data represent different STM bias: V=-2.75, V=-1.0, V=-0.2, V=0.4, V=0.7, V=1.5column1: site number,column2: bias-window-charge at a given site,column3: STM bias.

Files 'lad2m3' include charges data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'. Changes were obtained from the knowledge of LDOS functions along the chain. Data were obtained using main.f90 file.column1: site number in the chain,column2: charge at each local site,column3: normalization of LDOS function (should be 1).

Files 'dos2' include LDOS data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'.

Data were obtained using main.f90 file.

column1: energy,

column2: LDOS at site 1,

column3: data of analytical calculations of LDOS,

column3: data of analytical calculations of Total DOS,

column3: LDOS at site 4,

column3: LDOS at site 5,

column3: LDOS at site 7.

 

files 'EF2' include LDOS at the Fermi level data for a chain length N=35 and the coupling strength between atoms V=2eV for different on-site energies between (-2V and +2V) from 'a' to 'j'.

Data were obtained using main.f90 file.

column1: site number in the chain,

column2: LDOS at the Fermi level,

column3: on-site energy.
DOI: 10.34740/kaggle/dsv/7914133
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.10842548
title: Supplementary Material 1-3 (Spatio-temporal metabolic rifts in urban construction material circularity)
title: Supplementary data

description: Dataset 1 contains life cycle impact factors used for each stage of the urban metabolism for all spatial levels.

Dataset 2 contains the transport distances and modes from supplier locations for all spatial levels.

Dataset 3 contains material flow and life cycle impact assessment results for each year (2017-2050) and all spatial levels.
DOI: 10.5281/zenodo.10842549
title: Supplementary Material 1-3 (Spatio-temporal metabolic rifts in urban construction material circularity)
title: Supplementary data

description: Dataset 1 contains life cycle impact factors used for each stage of the urban metabolism for all spatial levels.

Dataset 2 contains the transport distances and modes from supplier locations for all spatial levels.

Dataset 3 contains material flow and life cycle impact assessment results for each year (2017-2050) and all spatial levels.
DOI: 10.48597/anqj-4vhe
title: Measurement of Heavy metals at Hallahus

description: Measurement of Heavy metals at Hallahus
DOI: 10.48597/h6vy-t65t
title: Measurement of Heavy metals at Hallahus

description: Measurement of Heavy metals at Hallahus
DOI: 10.4121/19934783.v1
title: Acceptance of a Virtual Coach for Quitting Smoking and Becoming Physically Active: Dataset

description: <strong>Study</strong> The data was gathered during a longitudinal study on the online crowdsourcing platform Prolific between 20 May 2021 and 30 June 2021. The Human Research Ethics Committee of Delft University of Technology granted ethical approval for the research (Letter of Approval number: 1523). In this study, smokers who were contemplating or preparing to quit smoking interacted with the text-based virtual coach Sam in up to five conversational sessions. In each session, participants were assigned a new preparatory activity for quitting smoking, such as thinking of and writing down reasons for quitting smoking. After the five sessions, participants filled in a post-questionnaire in which they were asked about their acceptance of Sam. Participants answered six acceptance questions, and provided a rating and a free-text response for each of them. The study was pre-registered in the Open Science Framework (OSF): https://osf.io/k2uac. This pre-registration describes the study design, measures, etc. Note that this dataset contains only part of the collected data, namely, the data related to studying the acceptance of the virtual coach. The implementation of the virtual coach Sam can be found here: https://doi.org/10.5281/zenodo.6319356. There you can also find a list of the 24 preparatory activities used in the study (Activities.xlsx). <br> <strong>Data</strong> This dataset contains four types of data: <strong>Data from participants' Prolific profiles</strong>. This includes data on demographics (e.g., age range, household size) as well as smoking and physical activity behavior (e.g., weekly exercise amount). <strong>Data from a pre-screening questionnaire</strong>. This includes, for example, the responses to informed consent questions. <strong>Data from a pre-questionnaire</strong>. This includes data on smoking and physical activity behavior, as well as personality and need for cognition. <strong>Data from a post-questionnaire</strong>. This includes data on the acceptance of the virtual coach as well as doing the preparatory activities. There is a separate data file for each type of data. <br> <strong>Analysis</strong> Parts of the dataset have been used to study the acceptance of the virtual coach. Examples include: Examining reasons for wanting to continue or stop using a virtual coach for quitting smoking and increasing physical activity (see the bachelor's thesis by Nadyne Aretz: http://resolver.tudelft.nl/uuid:cb4e9c2e-27fb-4074-95f0-307d4d964be9), and Investigating the acceptance of a virtual coach as a guided intervention for quitting smoking (see the bachelor's thesis by Jaap Dechering: http://resolver.tudelft.nl/uuid:71038d25-9a5a-4068-b22f-fa37b0be23aa).
DOI: 10.48597/yf2p-5u3q
title: Measurement of Heavy metals at Hallahus

description: Measurement of Heavy metals at Hallahus
DOI: 10.48597/7ynr-tmjs
title: Measurement of Heavy metals at Hallahus

description: Measurement of Heavy metals at Hallahus
DOI: 10.48597/rgar-c3fb
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Hallahus

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Hallahus
DOI: 10.25500/edata.bham.00000892
title: Research data for supporting the publication ''Synthesis, Structure and Electrochemical Properties of a New Cation Ordered Layered Li-Ni-Mg-Mo Oxide''
DOI: 10.5281/zenodo.10853440
title: CHIST-ERA TESLA WP1 Dielectric Measurements And Water Absorption Tests

description: Dielectric measurements and water absorption tests of selected materials suitable for making disposable biodegradable sensors for CHIST-ERA TESLA Transient Electronics for Sustainable ICT in DigitaL Agriculture project.

https://www.teslaresearchproject.eu/
DOI: 10.48597/3297-dvdz
title: Measurement of Heavy metals at Norunda Stenen

description: Measurement of Heavy metals at Norunda Stenen
DOI: 10.25500/edata.bham.00000998
title: Research data supporting the publication "Under Pressure: Offering Fundamental Insight into Structural Changes on Ball Milling Battery Materials"

description: Several different instruments used for data collection, this is outlined in the experimental aspect of the publication. The file type available in the data set is stated in the Readme file.
DOI: 10.5255/ukda-sn-857075
title: Alternative Employment Concentration Index, 2021-2023

description: The UK's median gender pay gap has substantially reduced from 36.4% in the 1970s to around 18%, yet it remains one of the highest in the EU and OECD. Previously attributed to differences in education and work experience, this explanation is outdated as women now frequently outpace men in education and are less likely to leave the workforce. However, women still earn about 10% less than men, even with similar work and qualifications. Research has shifted focus from productivity differences to the potential role of employer wage-setting practices. This research suggests that women's negotiating power may be undermined by familial responsibilities, leading to lower mobility in the job market and consequently lower wages. The study will explore how employer wage-setting power and job-to-job mobility contribute to the gender pay gap, aiming to inform effective policies. 

The collection contains a set of syntax files used to construct an alternative employment concentration index that takes into account commuting costs. The files are based on the Stata language and use the Business Structure Dataset and the UK Longitudinal Household Study to derive the index.
DOI: 10.6084/m9.figshare.25460410
title: Data and R code for a study regarding how nutrient enrichment afftects soil biodiversity and ecosystem function.

description: In the Rawdata file, the definitions of abbreviations of parameters can be found below:MineralN: mineral nitrogen; AvailableP: available phosphorus; LabileC: labile carbon; Bacterialdiversity: bacterial diversity; Fungaldiversity: fungal diversity; Nematodediversity: total nematode diversity; BFdiversity: bacterivorous nematode diversity; FFdiversity: fungivorous nematode diversity; PFdiversity: plant-parasite nematode diversity; OMdiversity: omnivorous nematode diversity; PRdiversity: predaceous nematode diversity; Microbialdiversity: microbial diversity; Microbivorediversity: microbivorous nematode diversity; Preydiversity: prey diversity; Predatordiversity: predator diversity; Bacterialbiomass: bacterial biomass; Fungalbiomass: fungal biomass; BaFu: bacterial to fungal biomass ratio; GP: Gram-positive bacterial biomass; GN: Gram-negative bacterial biomass; GPGN: Gram-positive to negative bacterial biomass ratio; SOCStorage: soil total carbon; Nstorage : soil total nitrogen; Sugardegradation: sugardegradation ; Chitindegradation: chitindegradation; Lignindegradation: lignindegradation; Polymerdegradation: polymerdegradation; Pmineralization: phosphorus mineralization; SOCdecompositionpotential: alkyl:O-alkyl; Microbialactivity: microbial activity ; MBC: microbial biomass carbon; MBN: microbial biomass nitrogen; MBP: microbial biomass phosphorus; Aggregatestability: aggregate stability; Parasiteresistance: resistance to parasite; Multifunction: multifunctionality; EMF3: multifunctionality at 30% threshold; EMF5: multifunctionality at 50% threshold; EMF7: multifunctionality at 70% threshold <br>
DOI: 10.48597/jqey-nzku
title: Measurement of Particle_number_concentration at Bondville

description: Measurement of Particle_number_concentration at Bondville