cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24428992.v1
title: Time-domain observation of interlayer exciton formation and thermalization in a MoSe2/WSe2 heterostructure

description: Additional details of experimental conditions for all data herein are presented in the associated manuscript. // LinearAbsorption_MoSe2WSe2-77k.txt for Figure 1b 77K linear absorption spectrum of MoSe2/WSe2 HS. The first column is photon energy with the spectrum the second column. PL_MoSe2WSe2-77k.txt for Figure 1b 77K Photoluminescence spectrum of MoSe2/WSe2 HS. The first column is photon energy with the spectrum the second column. // TA_HighRepRate_MoSe2WSe2-4deg-77k-CCP.txt for Figure 2c Transient absorption measurement of a 4° twist angle MoSe2/WSe2 TMD HS; measurements are performed on a high repetition rate, monochromatically-resolved instrument at 77K and with co-circularly polarized pump and probe. The pump is tuned to 1.58 eV. Data is preprocessed in the following way: differential spectrum are calculated; the data is chirp corrected by fitting the rise to a polynomial; pump scatter is subtracted using spectrum before time zero. Data presented in matrix format: time delay across rows in units of femtoseconds photon energy across columns in units of eletronvolts Transient absorption difference spectra (T_pumpon - T_pumpoff)/T_pumpoff) // TA_SpectrallyResolved_MoSe2WSe2-4deg-77k-CCP.txt for Figure 2a&b Transient absorption measurement of a 4° twist angle MoSe2/WSe2 TMD HS; measurements are performed on a spectrally-resolved instrument at 77K and with co-circularly polarized pump and probe. The pump is tuned to 1.58 eV. Data is preprocessed in the following way: differential spectrum are calculated; the data is chirp corrected by fitting the rise to a polynomial; pump scatter is subtracted using spectrum before time zero. Data presented in matrix format: time delay across columns in units of femtoseconds photon energy across rows in units of eletronvolts Transient absorption difference spectra (T_pumpon - T_pumpoff)/T_pumpoff) // Data for Figure 3e-h: Pulses.dat; Delta_T_hetero_W.dat; Delta_T_hetero_M.dat; Delta_T_hetero_aligned_IL.dat Calculated DTS signatures for the optical response of the A_W (..._W), A_Mo (..._M), and ILX (..._IL) states. The first column in each file corresponds to the pump probe time delay; the columns that follow are the data of the traces organized according to the key in Figure 3e-h. Pulse.dat shows the optical pulse where the first column is the time and the second column is the pulse envelope. // Data for Figure 4b: DWfile.dat; DILfile.dat; ksnapshots_77K_h2_e1_TT_1s.dat, where TT = [400, 800, 2000, 8000, 20000]. Calculated Pauli Blocking weights (DWfile & DILfile) for the A_W and ILX, respectively. The first column corresponds to the COM and the second to the weighting factors. Calculated momentum-dependent excitonic populations of the ILX (ksnapshot...) for pump probe delays of 400, 800, 2000, 8000, and 20000 fs. The first column corresponds to the COM and the second to the excitonic populations.
DOI: 10.6084/m9.figshare.24428992
title: Time-domain observation of interlayer exciton formation and thermalization in a MoSe2/WSe2 heterostructure

description: Additional details of experimental conditions for all data herein are presented in the associated manuscript. // LinearAbsorption_MoSe2WSe2-77k.txt for Figure 1b 77K linear absorption spectrum of MoSe2/WSe2 HS. The first column is photon energy with the spectrum the second column. PL_MoSe2WSe2-77k.txt for Figure 1b 77K Photoluminescence spectrum of MoSe2/WSe2 HS. The first column is photon energy with the spectrum the second column. // TA_HighRepRate_MoSe2WSe2-4deg-77k-CCP.txt for Figure 2c Transient absorption measurement of a 4° twist angle MoSe2/WSe2 TMD HS; measurements are performed on a high repetition rate, monochromatically-resolved instrument at 77K and with co-circularly polarized pump and probe. The pump is tuned to 1.58 eV. Data is preprocessed in the following way: differential spectrum are calculated; the data is chirp corrected by fitting the rise to a polynomial; pump scatter is subtracted using spectrum before time zero. Data presented in matrix format: time delay across rows in units of femtoseconds photon energy across columns in units of eletronvolts Transient absorption difference spectra (T_pumpon - T_pumpoff)/T_pumpoff) // TA_SpectrallyResolved_MoSe2WSe2-4deg-77k-CCP.txt for Figure 2a&b Transient absorption measurement of a 4° twist angle MoSe2/WSe2 TMD HS; measurements are performed on a spectrally-resolved instrument at 77K and with co-circularly polarized pump and probe. The pump is tuned to 1.58 eV. Data is preprocessed in the following way: differential spectrum are calculated; the data is chirp corrected by fitting the rise to a polynomial; pump scatter is subtracted using spectrum before time zero. Data presented in matrix format: time delay across columns in units of femtoseconds photon energy across rows in units of eletronvolts Transient absorption difference spectra (T_pumpon - T_pumpoff)/T_pumpoff) // Data for Figure 3e-h: Pulses.dat; Delta_T_hetero_W.dat; Delta_T_hetero_M.dat; Delta_T_hetero_aligned_IL.dat Calculated DTS signatures for the optical response of the A_W (..._W), A_Mo (..._M), and ILX (..._IL) states. The first column in each file corresponds to the pump probe time delay; the columns that follow are the data of the traces organized according to the key in Figure 3e-h. Pulse.dat shows the optical pulse where the first column is the time and the second column is the pulse envelope. // Data for Figure 4b: DWfile.dat; DILfile.dat; ksnapshots_77K_h2_e1_TT_1s.dat, where TT = [400, 800, 2000, 8000, 20000]. Calculated Pauli Blocking weights (DWfile & DILfile) for the A_W and ILX, respectively. The first column corresponds to the COM and the second to the weighting factors. Calculated momentum-dependent excitonic populations of the ILX (ksnapshot...) for pump probe delays of 400, 800, 2000, 8000, and 20000 fs. The first column corresponds to the COM and the second to the excitonic populations.
DOI: 10.6084/m9.figshare.23266703
title: Supplementary Data for multi-group fine-mapping of GLGC lipids traits in five population groups

description: This Supplementary Data contains four Supplementary Data Tables that gives details on our fine-mapping results for the Global Lipids Genetics Consortium (GLGC). This includes region definitions, 99% credible set sizes, prioritised variants, and comparisons of our fine-mapping results with those of GLGC.
DOI: 10.6084/m9.figshare.23266703.v1
title: Supplementary Data for multi-group fine-mapping of GLGC lipids traits in five population groups

description: This Supplementary Data contains four Supplementary Data Tables that gives details on our fine-mapping results for the Global Lipids Genetics Consortium (GLGC). This includes region definitions, 99% credible set sizes, prioritised variants, and comparisons of our fine-mapping results with those of GLGC.
DOI: 10.6084/m9.figshare.24547201
title: Technology addiction

description: This study examines the mediating role of self-handicapping in the balance between technology addiction and psychological well-being in university students. 162 university students participated in this descriptive-correlational study between April and June 2023. Technology Addiction Scale, Psychological Well-Being Scale and Self-Handicapping Scale were used. AMOS program were used to evaluate the mediating effect in the research. The study showed that technology addiction reduces psychological well-being and increases self-handicapping tendency and that higher self-handicapping tendency leads to decreased psychological well-being in university students. When the mediating effect was examined, self-handicapping was a full mediator in the balance between technology addiction and psychological well-being (β:-0.216; p&lt;0.001). Accordingly, increasing technology addiction increases self-handicapping tendency, and increasing self-handicapping tendency reduces psychological well-being. Based on these results, it is recommended that health professionals encourage the correct use of technology to improve the psychological well-being of university students and plan awareness interventions to reduce self-handicapping tendencies.
DOI: 10.6084/m9.figshare.23826378
title: Data for ONTbarcoder 2.0: Rapid species discovery and identification with real-time barcoding facilitated by Oxford Nanopore R10.4

description: Nanopore raw data relating to the study "Rapid species discovery and identification with real-time barcoding facilitated by ONTbarcoder 2.0 and Oxford Nanopore R10.4"
DOI: 10.6084/m9.figshare.24547216
title: Appendix: What We Do Not See

description: Appendix and data on article on using fire data and satellite imagery to detect unreported instances of intercommunal violence
DOI: 10.6084/m9.figshare.24547216.v1
title: Appendix: What We Do Not See

description: Appendix and data on article on using fire data and satellite imagery to detect unreported instances of intercommunal violence
DOI: 10.6084/m9.figshare.24547099.v1
title: An Analytical Formulation for Correcting the Relative Permeability of Gas-Water Flow in Propped Fractures Considering the Effect of Brinkman Flow

description: Brinkman flow can impose a strong effect on the fluid transportation within propped fractures, as well as on the well productivity.
DOI: 10.6084/m9.figshare.24547099
title: An Analytical Formulation for Correcting the Relative Permeability of Gas-Water Flow in Propped Fractures Considering the Effect of Brinkman Flow

description: Brinkman flow can impose a strong effect on the fluid transportation within propped fractures, as well as on the well productivity.
DOI: 10.34740/kaggle/dsv/6942843
title: AutoXGB
DOI: 10.34740/kaggle/dsv/6942845
title: OnlineFree
DOI: 10.5281/zenodo.8406759
title: Dataset of CCFs and 3D Vs model beneath the Tangshan Fault zone

description: The detailed shallow shear wave velocity model has a format of "longitude (deg), latitude (deg), depth (km), Vs (km/s)".
DOI: 10.5281/zenodo.10109909
title: Dataset of CCFs and 3D Vs model beneath the Tangshan Fault zone

description: This project contains the datasets needed to produce the 3D detailed shallow shear wave velocity model beneath the Tangshan Fault zone.
 
The zip file has the following files:
Z-Z_CCFs_SAC: Rayleigh wave cross-correlation functions (CCFs)
3DVelocityModel: 3D Vs model
Readme: Readme
station.txt: Station coordinates
 
Each of the  Z-Z_CCFs_SAC folders contains the final stacked CCFs in SAC format between all available station pairs, e.g., 
COR_TS001_TS002.SAC
COR_TS004_TS017.SAC
COR_TS009_TS080.SAC
 
The CCF file name show the names of station pairs (e.g., TS001, TS004, TS009).
 
The 3DVelocityModel folders contains the 3D detailed shallow shear wave velocity model with the format of "longitude (deg), latitude (deg), depth (km),  Vs (km/s)".
 
The station.txt has a format of "sta_name, longitude (deg), latitude (deg)".
DOI: 10.5281/zenodo.8294140
title: Dataset of CCFs and 3D Vs model beneath the Tangshan Fault zone

description: This project contains the datasets needed to produce the 3D detailed shallow shear wave velocity model beneath the Tangshan Fault zone.
 
The zip file has the following files:
Z-Z_CCFs_SAC: Rayleigh wave cross-correlation functions (CCFs)
3DVelocityModel: 3D Vs model
Readme: Readme
station.txt: Station coordinates
 
Each of the  Z-Z_CCFs_SAC folders contains the final stacked CCFs in SAC format between all available station pairs, e.g., 
COR_TS001_TS002.SAC
COR_TS004_TS017.SAC
COR_TS009_TS080.SAC
 
The CCF file name show the names of station pairs (e.g., TS001, TS004, TS009).
 
The 3DVelocityModel folders contains the 3D detailed shallow shear wave velocity model with the format of "longitude (deg), latitude (deg), depth (km),  Vs (km/s)".
 
The station.txt has a format of "sta_name, longitude (deg), latitude (deg)".
DOI: 10.5281/zenodo.8294141
title: 3D Vs model beneath the Tangshan Fault zone

description: The detailed shallow shear wave velocity model in the Tangshan fault Zone. The dataset has a format of "longitude (deg), latitude (deg), depth (km), Vs (km/s)".
DOI: 10.5281/zenodo.10082678
title: Replication package for: "Corruption and firm growth: evidence from around the world"

description: Guriev, S., Fisman, R., Ioramashvili, C., & Plekhanov, A. (2023). Corruption and firm growth: evidence from around the world. The Economic Journal.
DOI: 10.5281/zenodo.10082679
title: Replication package for: "Corruption and firm growth: evidence from around the world"

description: Guriev, S., Fisman, R., Ioramashvili, C., & Plekhanov, A. (2023). Corruption and firm growth: evidence from around the world. The Economic Journal.
DOI: 10.5281/zenodo.10111965
title: info_flights_meteo_barajas

description: Dataset de la información de salidas reales de vuelos del Aeropuerto de Madrid Barajas y los datos de salidas programadas de estos mismos vuelos junto con los datos meteorológicos de este aeropuerto.
Los campos son los que se detallan a continuación:

id_flight: identificador del vuelo. Se compone del flight_num con el departure_day separados por un _.
flight_num: número de vuelo
aircraft: tipo de aeronave.
destination: el destino al que se dirige el avión.
departure_day: fecha/día real de la salida del vuelo. Se sigue la nomenclatura AAAAMMdd
departure_time: hora real de la salida del vuelo. Se sigue la nomenclatura HH:MM
schedule_day: fecha/día programado para la salida del vuelo. Se sigue la nomenclatura AAAAMMdd
schedule_time: hora programada para la salida del vuelo. Se sigue la nomenclatura HH:MM
id_date_hour: id creado para juntar los datos de la web Flightware con los datos de la web Aemet. Se utiliza la fecha, seguida de un _ con la hora sin los minutos (AAAAMMdd_HH)
temp: temperatura en grados centígrados ºC
wind_speed: velocidad del viento. La unidad empleada es km/h
wind_gust: rachas de viento. La unidad que se utiliza es km/h
rainfall: dato de las precipitaciones. La unidad utilizada es mm.
DOI: 10.5281/zenodo.10070458
title: info_flights_meteo_barajas

description: Dataset de la información de salidas reales de vuelos del Aeropuerto de Madrid Barajas y los datos de salidas programadas de estos mismos vuelos junto con los datos meteorológicos de este aeropuerto.
Los campos son los que se detallan a continuación:

id_flight: identificador del vuelo. Se compone del flight_num con el departure_day separados por un _.
flight_num: número de vuelo
aircraft: tipo de aeronave.
destination: el destino al que se dirige el avión.
departure_day: fecha/día real de la salida del vuelo. Se sigue la nomenclatura AAAAMMdd
departure_time: hora real de la salida del vuelo. Se sigue la nomenclatura HH:MM
schedule_day: fecha/día programado para la salida del vuelo. Se sigue la nomenclatura AAAAMMdd
schedule_time: hora programada para la salida del vuelo. Se sigue la nomenclatura HH:MM
id_date_hour: id creado para juntar los datos de la web Flightware con los datos de la web Aemet. Se utiliza la fecha, seguida de un _ con la hora sin los minutos (AAAAMMdd_HH)
temp: temperatura en grados centígrados ºC
wind_speed: velocidad del viento. La unidad empleada es km/h
wind_gust: rachas de viento. La unidad que se utiliza es km/h
rainfall: dato de las precipitaciones. La unidad utilizada es mm.
DOI: 10.5281/zenodo.10070459
title: Info_Vuelos_Retrasos

description: Dataset de la información de vuelo del Aeropuerto de Madrid Barajas y los datos meteorológicos de este aeropuerto.
DOI: 10.17632/pg8hnttzkm.2
title: Data from an online survey on initial trust in artificial intelligence for production management tasks

description: In an online survey with n = 130 participants potential factors influencing initial trust in AI were asked. These are (1) digital affinity of the respondent, (2) expert status in production management of the respondent, (3) perceived capabilities of the AI, (4) perceived explainablitiy of the AI, (5) predictability of the decision situation and (6) costs of a wrong decision in the present decision situation. The factors (1) and (2) were measured as between subjects, whereas the factors (3) - (6) are within subject factors.
DOI: 10.5281/zenodo.7496594
title: Khaos

description: Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques
DOI: 10.5281/zenodo.7579987
title: Nudging the tropical Indian Ocean Applied to the IPSL-CM6A-LR model - Control Experiments

description: This experiment applies monthly nudging of -2, -1, +1, and +2 degree C to the tropical Indian Ocean region in the IPSL-CM6A-LR pre-industrial control run. The methods of nudging are defined in Ferster et al. (2021), where we apply a constant nudging and refer to the experiments as TIOxC, where "x" is the monthly nudging value (as in Ferster et al., 2021). Additional experiments were simulated for a paper within the submission process (to be included and updated within future versions) including the "TIOc" and "C0C" experiments, where the TIOC nudges towards towards the time-mean climatology and the C0C nudges at each monthly time step towards the pre-industrial control's corresponding monthly value (similar to adding white noise at each time step). The datasets are included from the experiments to help share our results and reproducibility of the figures within our manuscripts, the original model output is stored on the TGCC computing machine Irene. All datasets are saved on this data repository are saved as annual means! These datasets represent the C0C (TIO=0C) and TIOc control experiments. Please use the additional thredds link to access the full IPSL output for the experiments: https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/Control-0C-TIO/1950-01-01/Control-0C-TIO1950-01/catalog.html https://thredds-su.ipsl.fr/thredds/catalog/tgcc_thredds/store/fersterb/IPSLCM6/DEVT/TIO-Experiment/TIOc/1950-01-01/TIOc1950-01/catalog.html The pre-industrial control from IPSL can be found on the CMIP6-ESGF servers and the TGCC computing machine Irene. Please contact us for additional explanations, datasets, or collaboration. *The datasets are created from the IPSL-CM6A-LR output files **This version serves as a preliminary version of the dataset for publication purposes, additional output is available and the experiment output exceeds the 50gb of storage offered through this platform (TGCC Irene). ***Contact: brady.ferster@locean.ipsl.fr or brady.ferster@yale.edu
DOI: 10.5281/zenodo.7713144
title: DNA-HDXMS_XchangeDB: A dataset of Hydrogen-Deuterium eXchange native Mass Spectrometry experiments on DNA oligonucleotides

description: The DNA-HDXMS_XchangeDB dataset contains HDX/native MS exchange kinetics and metadata of a reference set of DNA oligonucleotides.
description: The dataset is provided as a text file, a .xlsx Microsoft Excel file, and an Rda file (for import in R).
DOI: 10.15479/at:ista:13126
title: Research data for the publication "Imaging brain tissue architecture across millimeter to nanometer scales"

description: Mapping the complex and dense arrangement of cells and their connectivity in brain tissue demands nanoscale spatial resolution imaging. Super-resolution optical microscopy excels at visualizing specific molecules and individual cells but fails to provide tissue context. Here, we developed Comprehensive Analysis of Tissues across Scales (CATS), a technology to densely map brain tissue architecture from millimeter regional to nanometer synaptic scales in diverse chemically fixed brain preparations, including rodent and human. CATS uses fixation-compatible extracellular labeling and optical imaging, including stimulated emission depletion or expansion microscopy, to comprehensively delineate cellular structures. It enables three-dimensional reconstruction of single synapses and mapping of synaptic connectivity by identification and analysis of putative synaptic cleft regions. Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed and quantified the synaptic input and output structure of identified neurons. We furthermore demonstrate applicability to clinically derived human tissue samples, including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing the cellular architecture of brain tissue in health and disease.
DOI: 10.3886/icpsr08512.v1
title: National Survey of Black Americans, 1979-1980
title: Version 1

description: The purpose of this data collection is to provide an appropriate theoretical and empirical approach to concepts, measures, and methods in the study of Black Americans. The questionnaire was developed over two years, with input from social scientists, students, and a national advisory panel of Black scholars. The final instrument encompasses several broad areas related to Black American life. The study explores neighborhood-community integration, services, crime and community contact, the role of religion and the church, physical and mental health, and self-esteem. It also examines employment, the effects of chronic unemployment, the effects of race on the job, and interaction with family and friends. In addition, the survey provides information on racial attitudes, race identity, group stereotypes, and race ideology. Demographic variables include education, income, occupation, and political behavior and affiliation.
description: National multistage probability sample. The sample is self-weighting. Every Black American household in the continental United States had an equal probability of being selected.
description: Datasets: DS1: Main Data File
description: Black United States citizens 18 years of age or older.
description: (1) Users should note that data for the "state and county" codes (Variables 1405, 1407, and 1410) were entered in COUNTY/STATE order and not STATE/COUNTY order. This is the reverse of how Note 3 describes the interpretation of these variables. (2) The age distribution for the 2,107 persons interviewed was ages 17-54 (N = 1,526), 55-64 (N = 239), 65-74 (N = 230), 75-84 (N = 100), and 85+ (N = 12). (3) The data in this collection are superseded by the Wave 1 data in NATIONAL SURVEY OF BLACK AMERICANS, WAVES 1-4, 1979-1980, 1987-1988, 1988-1989, 1992 (ICPSR 6668)
DOI: 10.25502/wdh5-6c13/d
title: ISFM/SOM long-term trials soil data

description: Collecting long-term data from ISFM maize trials and modelling them with the DayCent model
DOI: 10.17632/dkp376g3m8.1
title: WLTP-based Real-World Brake Wear Cycle

description: WLTP based brake wear cycle including: Second-by-second data of the speed/time trace. Location and duration of trip breaks. Cycle edges: Since the cycle is rectified there are only certain points needed to reproduce the cycle. These data points that build up the speed/time trace are listed here. Stop overview: Each of the 303 stops is listed with indiviudal stop nr., start time within the cycle (without any trip breaks), initial and final velocity as well as brake duration and deceleration.