cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18446725
title: Completeness of police reporting of traffic crashes in Nepal: Evaluation using a community crash recording system

description: Accurate road crash reporting is essential for evaluating road safety interventions and plans. Under-reporting of road traffic crashes, injuries, and fatalities in police records has been widely described. The aim of this study was to apply and evaluate a community crash recording system, and assess the quality of the data in comparison with traffic police data in Nepal. The crash data collection methodology involved recruiting Local Record Keepers working and living at locations known to be at a high risk of crashes. Six shopkeepers were recruited at three crash locations and trained to complete collision incident forms for crashes occurring over one year on the section of road visible from their premises. Manual traffic volume and pedestrian counts, and spot speed surveys were conducted. Data were compared with District police records for the same period and locations. Over 12 months, 110 crashes were recorded by the Local Record Keepers. Of these, 70 resulted in 145 injuries (5 fatalities, 62 severe, and 78 minor injuries), while 40 resulted only in property damage. Comparable police data recorded 23 crashes, of which 18 crashes resulted in 27 injuries (8 fatalities, 13 serious, and 6 minor injuries), and 5 crashes in property damage only. The difference in recording of fatal and serious injuries was statistically significant (χ<sup>2</sup>(1) = 19.94, p &lt; 0.001). The police reporting rate was highest for fatalities (62.5%) but only 11.6% and 7.1% for property damage cases and minor injuries respectively, and 3.8% for single-vehicle crashes. Compared to the Local Record Keeper data, the overall police crash reporting rate was 19.7%. Local Record Keepers’ recording of road traffic crashes and casualties is feasible and provides a more complete record than routinely collected police data. The low reporting rate in the police records of minor injury, property damage, and single-vehicle crashes suggest significant underestimation and bias in the reporting of the actual burden of road traffic crashes. Local Record Keeper recording is a viable method for validating police reports.
DOI: 10.6084/m9.figshare.18446725.v1
title: Completeness of police reporting of traffic crashes in Nepal: Evaluation using a community crash recording system

description: Accurate road crash reporting is essential for evaluating road safety interventions and plans. Under-reporting of road traffic crashes, injuries, and fatalities in police records has been widely described. The aim of this study was to apply and evaluate a community crash recording system, and assess the quality of the data in comparison with traffic police data in Nepal. The crash data collection methodology involved recruiting Local Record Keepers working and living at locations known to be at a high risk of crashes. Six shopkeepers were recruited at three crash locations and trained to complete collision incident forms for crashes occurring over one year on the section of road visible from their premises. Manual traffic volume and pedestrian counts, and spot speed surveys were conducted. Data were compared with District police records for the same period and locations. Over 12 months, 110 crashes were recorded by the Local Record Keepers. Of these, 70 resulted in 145 injuries (5 fatalities, 62 severe, and 78 minor injuries), while 40 resulted only in property damage. Comparable police data recorded 23 crashes, of which 18 crashes resulted in 27 injuries (8 fatalities, 13 serious, and 6 minor injuries), and 5 crashes in property damage only. The difference in recording of fatal and serious injuries was statistically significant (χ<sup>2</sup>(1) = 19.94, p &lt; 0.001). The police reporting rate was highest for fatalities (62.5%) but only 11.6% and 7.1% for property damage cases and minor injuries respectively, and 3.8% for single-vehicle crashes. Compared to the Local Record Keeper data, the overall police crash reporting rate was 19.7%. Local Record Keepers’ recording of road traffic crashes and casualties is feasible and provides a more complete record than routinely collected police data. The low reporting rate in the police records of minor injury, property damage, and single-vehicle crashes suggest significant underestimation and bias in the reporting of the actual burden of road traffic crashes. Local Record Keeper recording is a viable method for validating police reports.
DOI: 10.22003/xfel.eu-data-006136-00
title: Analysis on the correlation between micro-crystal characteristics and hit rate
DOI: 10.6073/pasta/0ca3ecc8cd8ae54b50362780d1750ec7
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP C-CALI met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.21223/oyxagl/6ip3uk
title: 02_Material_list.txt

description: :unav
DOI: 10.21223/oyxagl/kgnr8u
title: PTYL200410_ANDAHUAYLAS.xls

description: :unav
DOI: 10.21223/oyxagl/lw9hvh
title: 01_Fieldbook_PTYL200410_ANDAHUAYLAS.txt

description: :unav
DOI: 10.21223/oyxagl/efurap
title: 03_Datadictionary.txt

description: :unav
DOI: 10.6084/m9.figshare.15048669
title: On the construction of trend resistant PBIB designs

description: In agricultural, animal, fisheries and industrial experimentation under block design setup, systematic trend may affect the response under consideration. Although remote, these effects may still have high influence on response and hence should be incorporated in the model for proper model specification. Completely trend resistant block designs, also known as trend free block designs, are an important class of designs where the analysis can be done in usual manner as in case of normal block designs since trend effects and treatment effects are orthogonal. Literature is available on different aspects of trend resistant incomplete block designs mainly focusing on balanced incomplete block designs. This article deals with the construction of completely trend resistant Partially Balanced Incomplete Block (TR-PBIB) designs. Two methods of constructing such designs have been discussed. The information matrices for the class of designs developed have been derived and SAS code for the generation of the developed designs has also been provided.
DOI: 10.6084/m9.figshare.15196480
title: Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff

description: The regression discontinuity design (RDD) is one of the most credible methods for causal inference that is often regarded as a missing data problem in the potential outcomes framework. However, the methods for missing data such as multiple imputation are rarely used as a method for causal inference. This article proposes multiple imputation regression discontinuity designs (MIRDDs), an alternative way of estimating the local average treatment effect at the cutoff point by multiply-imputing potential outcomes. To assess the performance of the proposed method, Monte Carlo simulations are conducted under 112 different settings, each repeated 5,000 times. The simulation results show that MIRDDs perform well in terms of bias, root mean squared error, coverage, and interval length compared to the standard RDD method. Also, additional simulations exhibit promising results compared to the state-of-the-art RDD methods. Finally, this article proposes to use MIRDDs as a graphical diagnostic tool for RDDs. We illustrate the proposed method with data on the incumbency advantage in U.S. House elections. To implement the proposed method, an easy-to-use software program is also provided.
DOI: 10.6084/m9.figshare.15048669.v1
title: On the construction of trend resistant PBIB designs

description: In agricultural, animal, fisheries and industrial experimentation under block design setup, systematic trend may affect the response under consideration. Although remote, these effects may still have high influence on response and hence should be incorporated in the model for proper model specification. Completely trend resistant block designs, also known as trend free block designs, are an important class of designs where the analysis can be done in usual manner as in case of normal block designs since trend effects and treatment effects are orthogonal. Literature is available on different aspects of trend resistant incomplete block designs mainly focusing on balanced incomplete block designs. This article deals with the construction of completely trend resistant Partially Balanced Incomplete Block (TR-PBIB) designs. Two methods of constructing such designs have been discussed. The information matrices for the class of designs developed have been derived and SAS code for the generation of the developed designs has also been provided.
DOI: 10.6084/m9.figshare.15196480.v1
title: Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff

description: The regression discontinuity design (RDD) is one of the most credible methods for causal inference that is often regarded as a missing data problem in the potential outcomes framework. However, the methods for missing data such as multiple imputation are rarely used as a method for causal inference. This article proposes multiple imputation regression discontinuity designs (MIRDDs), an alternative way of estimating the local average treatment effect at the cutoff point by multiply-imputing potential outcomes. To assess the performance of the proposed method, Monte Carlo simulations are conducted under 112 different settings, each repeated 5,000 times. The simulation results show that MIRDDs perform well in terms of bias, root mean squared error, coverage, and interval length compared to the standard RDD method. Also, additional simulations exhibit promising results compared to the state-of-the-art RDD methods. Finally, this article proposes to use MIRDDs as a graphical diagnostic tool for RDDs. We illustrate the proposed method with data on the incumbency advantage in U.S. House elections. To implement the proposed method, an easy-to-use software program is also provided.
DOI: 10.5281/zenodo.7762058
title: Public Data files for MassFormer

description: Public data files for experiments in MassFormer. See the Github repository for instructions on how to use this data. casmi_2016.tgz - Critical Assessment of Small Molecules 2016, used for model evaluation. mb_na_msms.msp.gz - MassBank of North America export of LC-MS/MS spectra, used for model evaluation. Note: this dataset does not contain any data from the NIST 2020 mass spectrometry library, which is commercial. Refer to the massformer repository for instructions on how to obtain this data and request pretrained models.
DOI: 10.5281/zenodo.7874421
title: Public Data files for MassFormer

description: Public data files for experiments in MassFormer. See the Github repository for instructions on how to use this data. <strong>Raw Data:</strong> casmi_2016.tgz - Critical Assessment of Small Molecules 2016, used for model evaluation. mb_na_msms.msp.gz - MassBank of North America export of LC-MS/MS spectra, used for model evaluation. cid_smiles.tsv.gz - Mapping of CID to SMILES strings, obtained from PubChem. <strong>Processed Data:</strong> casmi.tgz - Processed spectrum and molecule data for the CASMI benchmark. pcasmi.tgz - Processed spectrum and molecule data for the pseudo-CASMI (pCASMI) benchmark. proc_demo.tgz - Processed spectrum and molecule data for the demo (refer to code repository for more information). <strong>Model Checkpoints:</strong> demo.pkl - Checkpoint of a MassFormer model trained on MoNA data, for the purposes of running the demo.
DOI: 10.5281/zenodo.8111839
title: Public Data files for MassFormer

description: Public data files for experiments in MassFormer. See the Github repository for instructions on how to use this data. <strong>Raw Data:</strong> casmi_2016.tgz - Critical Assessment of Small Molecules 2016, used for model evaluation. mb_na_msms.msp.gz - MassBank of North America export of LC-MS/MS spectra, used for model evaluation. cid_smiles.tsv.gz - Mapping of CID to SMILES strings, obtained from PubChem. <strong>Processed Data:</strong> casmi.tgz - Processed spectrum and molecule data for the CASMI benchmark. pcasmi.tgz - Processed spectrum and molecule data for the pseudo-CASMI (pCASMI) benchmark. proc_demo.tgz - Processed spectrum and molecule data for the demo (refer to code repository for more information). <strong>Model Checkpoints:</strong> demo.pkl - Checkpoint of a MassFormer model trained on MoNA data, for the purposes of running the demo. checkpoint_best_pcqm4mv2.pt - Checkpoint of a Graphormer model pretrained on the PCQM4M dataset, used for initialization of some MassFormer models. Copied from this url. Please refer to the Graphormer repository for more information.
DOI: 10.5281/zenodo.8371041
title: Public Data files for MassFormer

description: Public data files for experiments in MassFormer. See the Github repository for instructions on how to use this data. <strong>Raw Data:</strong> casmi_2016.tgz - Critical Assessment of Small Molecule Identification 2016, used for model evaluation. casmi_2022.tgz - Critical Assessment of Small Molecule Identification 2022, used for model evaluation. mb_na_msms.msp.gz - MassBank of North America export of LC-MS/MS spectra, used for model evaluation. cid_smiles.tsv.gz - Mapping of CID to SMILES strings, obtained from PubChem. <strong>Processed Data:</strong> proc_casmi_2016.tgz - Processed spectrum and molecule data for the CASMI 2016 benchmark. proc_casmi_2022.tgz - Processed spectrum and molecule data for the CASMI 2022 benchmark. proc_nist20_outlier.tgz - Processed spectrum and molecule data for the NIST20 Outlier benchmark (formerly called pseudo-CASMI). proc_demo.tgz - Processed spectrum and molecule data for the demo (refer to code repository for more information). cfm.tgz - Predicted spectra for the Competitive Fragmentation Modelling (CFM) baseline. <strong>Model Checkpoints:</strong> demo.pkl - Checkpoint of a MassFormer model trained on MoNA data, for the purposes of running the demo. checkpoint_best_pcqm4mv2.pt - Checkpoint of a Graphormer model pretrained on the PCQM4M dataset, used for initialization of some MassFormer models. Copied from this url. Please refer to the Graphormer repository for more information.
DOI: 10.5281/zenodo.7762057
title: Public Data files for MassFormer

description: Public data files for experiments in MassFormer. See the Github repository for instructions on how to use this data. <strong>Raw Data:</strong> casmi_2016.tgz - Critical Assessment of Small Molecule Identification 2016, used for model evaluation. casmi_2022.tgz - Critical Assessment of Small Molecule Identification 2022, used for model evaluation. mb_na_msms.msp.gz - MassBank of North America export of LC-MS/MS spectra, used for model evaluation. cid_smiles.tsv.gz - Mapping of CID to SMILES strings, obtained from PubChem. <strong>Processed Data:</strong> proc_casmi_2016.tgz - Processed spectrum and molecule data for the CASMI 2016 benchmark. proc_casmi_2022.tgz - Processed spectrum and molecule data for the CASMI 2022 benchmark. proc_nist20_outlier.tgz - Processed spectrum and molecule data for the NIST20 Outlier benchmark (formerly called pseudo-CASMI). proc_demo.tgz - Processed spectrum and molecule data for the demo (refer to code repository for more information). cfm.tgz - Predicted spectra for the Competitive Fragmentation Modelling (CFM) baseline. <strong>Model Checkpoints:</strong> demo.pkl - Checkpoint of a MassFormer model trained on MoNA data, for the purposes of running the demo. checkpoint_best_pcqm4mv2.pt - Checkpoint of a Graphormer model pretrained on the PCQM4M dataset, used for initialization of some MassFormer models. Copied from this url. Please refer to the Graphormer repository for more information.
DOI: 10.5281/zenodo.8371051
title: Public Data files for MassFormer

description: Public data files for experiments in MassFormer. See the Github repository for instructions on how to use this data. <strong>Raw Data:</strong> casmi_2016.tgz - Critical Assessment of Small Molecule Identification 2016, used for model evaluation. casmi_2022.tgz - Critical Assessment of Small Molecule Identification 2022, used for model evaluation. mb_na_msms.msp.gz - MassBank of North America export of LC-MS/MS spectra, used for model evaluation. cid_smiles.tsv.gz - Mapping of CID to SMILES strings, obtained from PubChem. <strong>Processed Data:</strong> proc_casmi_2016.tgz - Processed spectrum and molecule data for the CASMI 2016 benchmark. proc_casmi_2022.tgz - Processed spectrum and molecule data for the CASMI 2022 benchmark. proc_nist20_outlier.tgz - Processed spectrum and molecule data for the NIST20 Outlier benchmark (formerly called pseudo-CASMI). proc_demo.tgz - Processed spectrum and molecule data for the demo (refer to code repository for more information). cfm.tgz - Predicted spectra for the Competitive Fragmentation Modelling (CFM) baseline. <strong>Model Checkpoints:</strong> demo.pkl - Checkpoint of a MassFormer model trained on MoNA data, for the purposes of running the demo. checkpoint_best_pcqm4mv2.pt - Checkpoint of a Graphormer model pretrained on the PCQM4M dataset, used for initialization of some MassFormer models. Copied from this url. Please refer to the Graphormer repository for more information.
DOI: 10.5281/zenodo.8399738
title: Public Data files for MassFormer

description: Public data files for experiments in MassFormer. See the Github repository for instructions on how to use this data. <strong>Raw Data:</strong> casmi_2016.tgz - Critical Assessment of Small Molecule Identification 2016, used for model evaluation. casmi_2022.tgz - Critical Assessment of Small Molecule Identification 2022, used for model evaluation. mb_na_msms.msp.gz - MassBank of North America export of LC-MS/MS spectra, used for model evaluation. cid_smiles.tsv.gz - Mapping of CID to SMILES strings, obtained from PubChem. <strong>Processed Data:</strong> proc_casmi_2016.tgz - Processed spectrum and molecule data for the CASMI 2016 benchmark. proc_casmi_2022.tgz - Processed spectrum and molecule data for the CASMI 2022 benchmark. proc_nist20_outlier.tgz - Processed spectrum and molecule data for the NIST20 Outlier benchmark (formerly called pseudo-CASMI). proc_demo.tgz - Processed spectrum and molecule data for the demo (refer to code repository for more information). cfm.tgz - Predicted spectra for the Competitive Fragmentation Modelling (CFM) baseline. <strong>Model Checkpoints:</strong> demo.pkl - Checkpoint of a MassFormer model trained on MoNA data, for the purposes of running the demo. checkpoint_best_pcqm4mv2.pt - Checkpoint of a Graphormer model pretrained on the PCQM4M dataset, used for initialization of some MassFormer models. Copied from this url. Please refer to the Graphormer repository for more information.
DOI: 10.6073/pasta/503b842fb3ade90a391eb21319b49f81
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP C-CALI met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/3c9fdf07ab228b3afc2c61cc2f8e7174
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP C-CALI met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP C-CALI site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute, hourly, or data summary datasets to determine if there are missing periods in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437016, knb-lter-jrn.210437031, and knb-lter-jrn.210437046 for the NPP C-CALI met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/3de9a531551a041f3672c4629f1f1cf4
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP C-CALI met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP C-CALI site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/07aa0e61d8867416c691962fa3780987
title: Jornada Basin LTER: Wireless meteorological station at NPP C-CALI site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP C-CALI met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP C-CALI site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.21223/3hwwbv/alwf4h
title: PTYL200412_LAVICT_Ranchitos.xls

description: :unav
DOI: 10.21223/3hwwbv/wspf4g
title: 01_Fieldbook_PTYL200412_LAVICT.txt

description: :unav
DOI: 10.21223/3hwwbv/03c5gz
title: 03_Datadictionary.txt

description: :unav
DOI: 10.21223/3hwwbv/jssiln
title: 02_Material_list.txt

description: :unav
DOI: 10.6073/pasta/752128a668d8fc2b71932f40e280a0dc
title: Jornada Basin LTER: Wireless meteorological station at NPP C-GRAV site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP C-GRAV met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP C-GRAV site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.