cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6085/aa/ybhx00_xxxitv2xhsr01_20110616.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr01_20120409.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr01_20120409.50.1
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2012-04-09. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitv2xhsr01_20111002.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitbdxmmr01_20060325.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xhsr01_20111130.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xhsr01_20120109.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20101204.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xhsr01_20120409.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20110516.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20110616.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20110715.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20110829.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20120109.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20120309.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr03_20120409.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr02_20101203.40.1
title: (:unkn)
DOI: 10.5281/zenodo.3686652
title: Augmented emission maps: 1199 cc 55 kW Euro 4 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1199 cc 55 kW Euro 4 petrol engine that has been applied in the Opel Corsa, Agila, and Astra. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI 10.5281/zenodo refers to a meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.3686653
title: Augmented emission maps: 1199 cc 55 kW Euro 4 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1199 cc 55 kW Euro 4 petrol engine that has been applied in the Opel Corsa, Agila, and Astra. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI 10.5281/zenodo refers to a meta-data document that provides the full description of the standardized emission map.
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr02_20110616.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr02_20110715.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr02_20110829.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr02_20111002.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20101108.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr02_20120310.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xlsr02_20120409.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20110320.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20110422.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20110616.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20110715.40.1
title: (:unkn)
DOI: 10.5285/093ddaf1-789a-4b8f-aaca-af4d2f070134
title: Plagioclase and clinopyroxene mineral chemical and Sr isotope data from Unit 10, Rum Layered Suite, NW Scotland

description: These plagioclase and clinopyroxene mineral chemical and Sr isotope data come from Unit 10, Rum Layered Suite, NW Scotland. They underpin a publication entitled 'Rapid crystallisation of precious metal-mineralised layers in mafic magmatic systems', to be published in Nature Geoscience in 2020.
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20101204.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20111130.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20120309.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20110320.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr03_20120409.40.1
title: (:unkn)
DOI: 10.5281/zenodo.3702235
title: Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking

description: <pre>Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking by the 2018 event workflow (https://github.com/qfo/benchmark-webservice/tree/elixir). It is used specifically by the old variant of the generalized species tree discordance benchmark and defines the multifurcating reference species tree with collapsed edges for some of the more debated splits.</pre>
DOI: 10.5281/zenodo.3702236
title: Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking

description: <pre>Eukaryota, Luca, Vertebrata and Fungi Species Tree used in Quest for Orthologs Benchmarking by the 2018 event workflow (https://github.com/qfo/benchmark-webservice/tree/elixir). It is used specifically by the old variant of the generalized species tree discordance benchmark and defines the multifurcating reference species tree with collapsed edges for some of the more debated splits.</pre>
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20110417.40.1
title: (:unkn)
DOI: 10.5281/zenodo.3686632
title: Augmented emission maps: the 1461 cc 81 kW Euro 6 diesel engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1461 cc 81 kW Euro 6 diesel engine that has been applied in several Renault, Nissan and Mercedes-Benz models (Kadjar, Megane, Scenic, Talisman, Captur, Clio, Kangoo; Qashqai, Juke, Pulsar, NV200; Citan). The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI 10.5281/zenodo refers to a meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.3686631
title: Augmented emission maps: the 1461 cc 81 kW Euro 6 diesel engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1461 cc 81 kW Euro 6 diesel engine that has been applied in several Renault, Nissan and Mercedes-Benz models (Kadjar, Megane, Scenic, Talisman, Captur, Clio, Kangoo; Qashqai, Juke, Pulsar, NV200; Citan). The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI 10.5281/zenodo refers to a meta-data document that provides the full description of the standardized emission map.
DOI: 10.5519/qd.hm53mozk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4537968 records)
DOI: 10.21227/7g8z-bd84
title: Error-related potentials (Primary and secondary ErrP) and P300 event related potentials – BCI-Double-ErrP-Dataset

description: BCI-Double-ErrP-Dataset is an EEG dataset recorded while participants used a P300-based BCI speller. This speller uses a P300 post-detection based on Error-related potentials (ErrPs) to detect and correct errors (i.e. when the detected symbol does not match the user’s intention). After the P300 detection, an automatic correction is made when an ErrP is detected (this is called a “Primary ErrP”). The correction proposed by the system is also evaluated, eventually eliciting a “Secondary ErrP” if the correction is wrong. The overall approach is called “Double-ErrP detection and correction” [1]. The recorded datasets are useful to research the use of ErrPs to increase BCI reliability and to research how “Secondary ErrPs” can be used to increase the naturalness of Human-machine interaction. The datasets are also useful to research ErrP variability across subjects and across sessions in different days. The EEG signals were recorded from nine able-bodied participants (S1-S9) and one tetraplegic participant (P1) with medullar injury (C4/C5 level) with ages between 24 and 43 years old. However, the data set comprises only 8 subjects because two participants (S7 and S8) took part only in the first session of the experiments. Scalp EEG was recorded at 256 Hz with a g.USBamp bioamplifier (g.tec, Austria).A detailed description of the approach and experiments is given in [1] and a video in [2]. References[1] A. Cruz, G. Pires, U. Nunes (2018), "Double ErrP Detection for Automatic Error Correction in an ERP-Based BCI Speller", IEEE Transactions on Neural Systems and Rehabilitation Engineering, 99, January 2018, doi: 10.1109/TNSRE.2017.2755018. https://ieeexplore.ieee.org/document/8048036 [2] Demonstrative video in http://home.isr.uc.pt/~gpires/ErrP/ Acknowledgement: This data collection was supported in part by Project B-RELIABLE funded by FEDER/FNR/OE through programs CENTRO2020 and Portuguese foundation for science and technology (FCT), under grant SAICT/30935/2017.
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20110422.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20110516.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20110616.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20110715.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20111130.40.1
title: (:unkn)
DOI: 10.5519/qd.dy2yv2bk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (102 records)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20120309.40.1
title: (:unkn)
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20120309.50.1
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2012-03-09. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20120409.40.1
title: (:unkn)
DOI: 10.17632/kcj8wcfkyf.1
title: Data for: Discovery of kyanite in typical cordierite/sillimanite-bearing low- to medium-pressure pelitic granulites: constraint on Paleoproterozoic plate tectonics

description: Supplementary Data Table S1. Rutile (inclusions within garnet) geochemistry for samples 17SD05, 17SD06 and 17SD07 Supplementary Data Table S2. Garnet geochemistry (ppm) for samples 17SD06 and 17SD07 Supplementary Data Table S3. SIMS monazite U-Pb results Supplementary Data Table S4. LA-ICP-MS zircon U-Pb results Supplementary Data Table S5. LA-ICP-MS zircon REE data (ppm) and Ti-in-zircon thermometric results
DOI: 10.6085/aa/ybhx00_xxxitv2xmmr02_20120409.50.1
title: PISCO: Intertidal: mussel growth temperature data: Yachats Beach, Oregon, USA (YBHX00)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Yachats Beach, Oregon, USA by PISCO. Measurements were collected using Onset Tidbit V2 Temp Data Logger (Onset Computer Corp. UTBI-001) beginning 2012-04-09. Site temperature loggers are bolted down in a wire cage at various locations within each site. Mussel growth temperature loggers are bolted down in a wire cage at high, mid, or low positions within a mussel bed. Temperature is recorded at 2.0 minute intervals.
DOI: 10.3886/e112444v1-22905
title: Replication data for: From Financial Crash to Debt Crisis

description: Newly developed historical time series on public debt, along with data on external debts, allow a deeper analysis of the debt cycles underlying serial debt and banking crises. We test three related hypotheses at both "world" aggregate levels and on an individual country basis. First, external debt surges are an antecedent to banking crises. Second, banking crises (domestic and those in financial centers) often precede or accompany sovereign debt crises; we find they help predict them. Third, public borrowing surges ahead of external sovereign default, as governments have "hidden domestic debts" that exceed the better documented levels of external debt. (JEL E44, F34, F44, G01, H63, N20)
DOI: 10.5281/zenodo.3702258
title: Edinburgh Bike Sharing Data

description: Accompanying datasets for the simulation study found here: doi / GitHub Please note the restricted usecases defined in the LICENSE.
DOI: 10.5281/zenodo.3702259
title: Edinburgh Bike Sharing Data

description: Accompanying datasets for the simulation study found here: doi / GitHub Please note the restricted usecases defined in the LICENSE.
DOI: 10.5281/zenodo.3702309
title: Exploring Blink-Rate Behaviors for Cybersickness Detection in VR

description: This Dataset was constructed for the paper "Exploring Blink-Rate Behaviors for Cybersickness Detection in VR" by Lopes, Tian and Boulic; published at the IEEE VR conference in 2020. All data was recorded using the HTC Vive Pro Eye at a sampling rate of 120hz. Furthermore, this dataset also includes the SSQ responses obtained from the participants. Further details are included in the .zip file on how to interpret and process this data.
DOI: 10.5281/zenodo.3702308
title: Exploring Blink-Rate Behaviors for Cybersickness Detection in VR

description: This Dataset was constructed for the paper "Exploring Blink-Rate Behaviors for Cybersickness Detection in VR" by Lopes, Tian and Boulic; published at the IEEE VR conference in 2020. All data was recorded using the HTC Vive Pro Eye at a sampling rate of 120hz. Furthermore, this dataset also includes the SSQ responses obtained from the participants. Further details are included in the .zip file on how to interpret and process this data.
DOI: 10.5281/zenodo.3673624
title: Removal of glycerol from enzymatically produced 2-α-D-glucosylglycerol by discontinuous diafiltration

description: We provide here the underlying data of the scientific publication "Removal of glycerol from enzymatically produced 2-α-D-glucosylglycerol by discontinuous diafiltration". Please find the abstract below: 2-α-D-Glucosyl-glycerol (2-GG) is a natural glycoside that acts as a biological extremolyte. 2-<br> GG is a promising ingredient for cosmetic products. Industrially, 2-GG is synthesised from<br> sucrose in the presence of a high excess of glycerol using the enzyme sucrose<br> phosphorylase. For commercial applications, the surplus glycerol must be removed and an<br> efficient purification strategy is therefore demanded. Here, we demonstrate nanofiltration for<br> the separation of glycerol from 2-GG. Based on membrane screening performed at varied<br> pressure and temperature, we identified a 150 – 300 Da cut-off polyamide membrane for the<br> selective removal of glycerol at high permeate throughput. An enzymatically produced 2-GG<br> solution was purified with multicycle discontinuous diafiltration on the litre scale. The process<br> was operated at constant permeate flux (13 kg m² h-1) and at a temperature of 30 °C. A<br> complete removal of glycerol was achieved after six diafiltration cycles. This was in<br> accordance with the simulation results of a mass balance model. The purity of the product<br> solution increased to 80%, which is comparable with commercially products containing<br> functional carbohydrates. The achieved product recovery was around 84%.
DOI: 10.5281/zenodo.3673623
title: Removal of glycerol from enzymatically produced 2-α-D-glucosylglycerol by discontinuous diafiltration

description: We provide here the underlying data of the scientific publication "Removal of glycerol from enzymatically produced 2-α-D-glucosylglycerol by discontinuous diafiltration". Please find the abstract below: 2-α-D-Glucosyl-glycerol (2-GG) is a natural glycoside that acts as a biological extremolyte. 2-<br> GG is a promising ingredient for cosmetic products. Industrially, 2-GG is synthesised from<br> sucrose in the presence of a high excess of glycerol using the enzyme sucrose<br> phosphorylase. For commercial applications, the surplus glycerol must be removed and an<br> efficient purification strategy is therefore demanded. Here, we demonstrate nanofiltration for<br> the separation of glycerol from 2-GG. Based on membrane screening performed at varied<br> pressure and temperature, we identified a 150 – 300 Da cut-off polyamide membrane for the<br> selective removal of glycerol at high permeate throughput. An enzymatically produced 2-GG<br> solution was purified with multicycle discontinuous diafiltration on the litre scale. The process<br> was operated at constant permeate flux (13 kg m² h-1) and at a temperature of 30 °C. A<br> complete removal of glycerol was achieved after six diafiltration cycles. This was in<br> accordance with the simulation results of a mass balance model. The purity of the product<br> solution increased to 80%, which is comparable with commercially products containing<br> functional carbohydrates. The achieved product recovery was around 84%.
DOI: 10.17034/5e2783ad-eada-4eec-b28a-b9ace3c201e9
title: Dynamically parameterising CAD models using sensitivities for optimisation - Automated mesh deformation for CAD models which exhibit boundary topology changes

description: Models and code created as part of the above project, and published in the paper Automated mesh deformation for CAD models which exhibit boundary topology changes
DOI: 10.5281/zenodo.3702328
title: Gemini/TEXES Spectroscopic Observations of Jupiter (March 12-14 2017)

description: This dataset contains Gemini/TEXES spectroscopic maps of Jupiter, acquired between March 12-14 2017 in support of NASA's Juno mission. The data and its reduction/analysis is fully described in <em>Fletcher et al. (2020), Jupiter's Equatorial Plumes and Hot Spots: Spectral Mapping from Gemini/TEXES and Juno/MWR, Journal of Geophysical Research - Planets.</em> As described in that paper, TEXES scan maps were acquired in seven groups (three on March 12, three on March 13, and one on March 14), with each group containing scan maps at 9 spectral settings (539, 587, 745, 819, 900, 960, 1165, 1248 and 2145 cm-1). Each setting spans approximately 10-20 cm-1, with variable spectral resolution as described in the article. Each scan map has been geometrically registered (i.e., latitudes, longitudes, and emission angles have been assigned), wavelength calibrated, and destriped. Radiometric calibration is in its raw form, based on TEXES observations of the telluric sky emission and a blank card in the instrument. However, we found it necessary to scale these spectra to match observations from Cassini/CIRS, using the following scale factors for all spectra: fac538= 0.9 fac587= 0.687705 fac744= 0.872656 fac819= 0.600016 fac901= 0.544984 fac960= 0.427803 fac1161=0.636066 fac1248=1.0 fac2145=1.0 The format of the individual files (IDL "save" files) is as follows: EMMIMG FLOAT = Array[721, 361] - emission angles for each point in the map HDR STRING = Array[126] - header containing information about each observation IMAGE_REDUCT FLOAT = Array[149, 183] - summed image of Jupiter from all points in a spectral scan. IMG FLOAT = Array[374, 721, 361] - cylindrically mapped Jupiter data at 374 wavenumber positions. OLAT FLOAT = Array[361] - planetographic latitudes OLON FLOAT = Array[721] - System III West longitudes. SKY FLOAT = Array[374] - sky emission on the wavenumber grid. SUBLAT FLOAT - sub-observer latitude SUBLON FLOAT - sub-observer longitude TRUESKY FLOAT = Array[374] - sky emission on the wavenumber grid. WAVENUMBER DOUBLE = Array[374] - wavenumber array
DOI: 10.5281/zenodo.3702329
title: Gemini/TEXES Spectroscopic Observations of Jupiter (March 12-14 2017)

description: This dataset contains Gemini/TEXES spectroscopic maps of Jupiter, acquired between March 12-14 2017 in support of NASA's Juno mission. The data and its reduction/analysis is fully described in <em>Fletcher et al. (2020), Jupiter's Equatorial Plumes and Hot Spots: Spectral Mapping from Gemini/TEXES and Juno/MWR, Journal of Geophysical Research - Planets.</em> As described in that paper, TEXES scan maps were acquired in seven groups (three on March 12, three on March 13, and one on March 14), with each group containing scan maps at 9 spectral settings (539, 587, 745, 819, 900, 960, 1165, 1248 and 2145 cm-1). Each setting spans approximately 10-20 cm-1, with variable spectral resolution as described in the article. Each scan map has been geometrically registered (i.e., latitudes, longitudes, and emission angles have been assigned), wavelength calibrated, and destriped. Radiometric calibration is in its raw form, based on TEXES observations of the telluric sky emission and a blank card in the instrument. However, we found it necessary to scale these spectra to match observations from Cassini/CIRS, using the following scale factors for all spectra: fac538= 0.9 fac587= 0.687705 fac744= 0.872656 fac819= 0.600016 fac901= 0.544984 fac960= 0.427803 fac1161=0.636066 fac1248=1.0 fac2145=1.0 The format of the individual files (IDL "save" files) is as follows: EMMIMG FLOAT = Array[721, 361] - emission angles for each point in the map HDR STRING = Array[126] - header containing information about each observation IMAGE_REDUCT FLOAT = Array[149, 183] - summed image of Jupiter from all points in a spectral scan. IMG FLOAT = Array[374, 721, 361] - cylindrically mapped Jupiter data at 374 wavenumber positions. OLAT FLOAT = Array[361] - planetographic latitudes OLON FLOAT = Array[721] - System III West longitudes. SKY FLOAT = Array[374] - sky emission on the wavenumber grid. SUBLAT FLOAT - sub-observer latitude SUBLON FLOAT - sub-observer longitude TRUESKY FLOAT = Array[374] - sky emission on the wavenumber grid. WAVENUMBER DOUBLE = Array[374] - wavenumber array
DOI: 10.17632/7h6s9cj4g7.1
title: List of the regulted proteins

description: List of proteins regulated in 22Rv1 cells under the SAB-13 treatment and discovered by proteomics
DOI: 10.17632/cyr8wxnjp6.1
title: disclosing personal name better predicts learning outcomes

description: Study 1&3.xlsx is for Study 1 and 3. Study 2a.xlsx and Study 2b.xlsx are for study 2a and 2b, respectively.