cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24316476.v1
title: Double machine learning for sample selection models+

description: This paper considers the evaluation of discretely distributed treatments when outcomes are only observed for a subpopulation due to sample selection or outcome attrition. For identification, we combine a selection-on-observables assumption for treatment assignment with either selection-on-observables or instrumental variable assumptions concerning the outcome attrition/sample selection process. We also consider dynamic confounding, meaning that covariates that jointly affect sample selection and the outcome may (at least partly) be influenced by the treatment. To control in a data-driven way for a potentially high dimensional set of pre- and/or post-treatment covariates, we adapt the double machine learning framework for treatment evaluation to sample selection problems. We make use of (a) Neyman-orthogonal, doubly robust, and efficient score functions, which imply the robustness of treatment effect estimation to moderate regularization biases in the machine learning- based estimation of the outcome, treatment, or sample selection models and (b) sample splitting (or cross-fitting) to prevent overfitting bias. We demonstrate that the proposed estimators are asymptotically normal and root-n consistent and investigate their finite sample properties in a simulation study. We also apply our proposed methodology to the Job Corps data. The estimator is available in the <i>causalweight</i> package for the statistical software R.
DOI: 10.5281/zenodo.10183658
title: Co-occurring ripple oscillations facilitate neuronal interactions between cortical locations in humans

description: Contact:
Ilya Verzhbinsky
ilya@health.ucsd.edu
 
This is the processed data used to generate the results in the manuscript:
Co-occurring ripple oscillations facilitate neuronal interactions between cortical locations in humans. PNAS (2023).
To analyze this data, please first access the code at the following repository: https://github.com/iverzh/coripple-prediction
All downloaded zip files should be uncompressed and placed in a directory named out/ in the CoRipplePredictionPNAS/ folder.
DOI: 10.5281/zenodo.10183659
title: Co-occurring ripple oscillations facilitate neuronal interactions between cortical locations in humans

description: Contact:
Ilya Verzhbinsky
ilya@health.ucsd.edu
 
This is the processed data used to generate the results in the manuscript:
Co-occurring ripple oscillations facilitate neuronal interactions between cortical locations in humans. PNAS (2023).
To analyze this data, please first access the code at the following repository: https://github.com/iverzh/coripple-prediction
All downloaded zip files should be uncompressed and placed in a directory named out/ in the CoRipplePredictionPNAS/ folder.
DOI: 10.5281/zenodo.10210539
title: Spatial data for Chaplin-Kramer et al. "Spatial heterogeneity in forest carbon storage affects priorities for reforestation"

description: Spatial data generated for the forest carbon edge effects analysis and optimization performed in Chaplin-Kramer et al. "Spatial heterogeneity in forest carbon storage affects priorities for reforestation". The files included are described below.
fc_stack_hansen_forest_cover2014_compressed_std_forest_edge_result.tif - Carbon (Mg/ha) predicted by the regression model for Hansen forest cover 2014 (this is the LULC map that produced the model with the best fit and was used in the model validation)
fig1_edge_effect_hansen_compressed_nr_md5_63366a.tif – Figure 1 in the manuscript
fig2_ipcc1_regression2_overlap3_md5_43e130.tif – Figure 2 in the manuscript
figS5_ipcc1_regression2_overlap3_avgov_md5_fe8b72.tif – Alternate styling of manuscript Fig. 2 (resampling with "average" instead of "near"), shown in Supplemental Fig. S5
ipcc_carbon_restoration_limited_md5_cd012d.tif - Carbon (Mg/ha) in restoration LULC calculated with the IPCC Tier 1 approach
ipcc_tier1_carbon_data.zip - Data needed to run the IPCC approach are contained within two files in the zip folder: the carbon table (carbon zones are rows and ESA LULC codes are columns) IPCC_carbon_table_md5_a91f7ade46871575861005764d85cfa7.csv; and the carbon zones map: carbon_zones_md5_aa16830f64d1ef66ebdf2552fb8a9c0d.gpkg
ipcc_carbon_esa_compressed_md5_5b4803.tif - Carbon (Mg/ha) in ESA 2014 LULC calculated with the IPCC Tier 1 approach (shown in Fig. S1)
PNV_jsmith_060420_md5_8dd464e0e23fefaaabe52e44aa296330.tif – Potential Natural Vegetation (PNV) created by Jeff Smith (unpublished) through a cross-walk of ESA to Dinerstein biomes
regression_carbon_esa_compressed_md5_c867a0.tif - Carbon (Mg/ha) in ESA 2014 LULC calculated with the regression approach (shown in Fig. S1)
regression_carbon_restoration_md5_1f5ca8.tif - Carbon (Mg/ha) in restoration LULC calculated with the regression approach
restoration_limited_md5_372bdfd9ffaf810b5f68ddeb4704f48f.tif – the LULC scenario of reforestation (based on PNV, but excluding agriculture and urban areas)
DOI: 10.5281/zenodo.10210540
title: Spatial data for Chaplin-Kramer et al. "Spatial heterogeneity in forest carbon storage affects priorities for reforestation"

description: Spatial data generated for the forest carbon edge effects analysis and optimization performed in Chaplin-Kramer et al. "Spatial heterogeneity in forest carbon storage affects priorities for reforestation". The files included are described below.
fc_stack_hansen_forest_cover2014_compressed_std_forest_edge_result.tif - Carbon (Mg/ha) predicted by the regression model for Hansen forest cover 2014 (this is the LULC map that produced the model with the best fit and was used in the model validation)
fig1_edge_effect_hansen_compressed_nr_md5_63366a.tif – Figure 1 in the manuscript
fig2_ipcc1_regression2_overlap3_md5_43e130.tif – Figure 2 in the manuscript
figS5_ipcc1_regression2_overlap3_avgov_md5_fe8b72.tif – Alternate styling of manuscript Fig. 2 (resampling with "average" instead of "near"), shown in Supplemental Fig. S5
ipcc_carbon_restoration_limited_md5_cd012d.tif - Carbon (Mg/ha) in restoration LULC calculated with the IPCC Tier 1 approach
ipcc_tier1_carbon_data.zip - Data needed to run the IPCC approach are contained within two files in the zip folder: the carbon table (carbon zones are rows and ESA LULC codes are columns) IPCC_carbon_table_md5_a91f7ade46871575861005764d85cfa7.csv; and the carbon zones map: carbon_zones_md5_aa16830f64d1ef66ebdf2552fb8a9c0d.gpkg
ipcc_carbon_esa_compressed_md5_5b4803.tif - Carbon (Mg/ha) in ESA 2014 LULC calculated with the IPCC Tier 1 approach (shown in Fig. S1)
PNV_jsmith_060420_md5_8dd464e0e23fefaaabe52e44aa296330.tif – Potential Natural Vegetation (PNV) created by Jeff Smith (unpublished) through a cross-walk of ESA to Dinerstein biomes
regression_carbon_esa_compressed_md5_c867a0.tif - Carbon (Mg/ha) in ESA 2014 LULC calculated with the regression approach (shown in Fig. S1)
regression_carbon_restoration_md5_1f5ca8.tif - Carbon (Mg/ha) in restoration LULC calculated with the regression approach
restoration_limited_md5_372bdfd9ffaf810b5f68ddeb4704f48f.tif – the LULC scenario of reforestation (based on PNV, but excluding agriculture and urban areas)
DOI: 10.34740/kaggle/dsv/7067569
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.6084/m9.figshare.23535237
title: Encoding a magic state with beyond break-even fidelity (datasets)

description: Data availability for research project: https://arxiv.org/abs/2305.13581. Version 2 contains updated code for error analysis.
DOI: 10.6084/m9.figshare.23535237.v1
title: Encoding a magic state with beyond break-even fidelity (datasets)

description: Data availability for research project: https://arxiv.org/abs/2305.13581.
DOI: 10.5281/zenodo.10207479
title: HDX-MS raw data for "Structural elucidation of full-length Pfs48/45 in complex with potent mAbs isolated from a naturally exposed individual"

description: These are the raw files of the HDX-MS data for the paper "Structural elucidation of full-length Pfs48/45 in complex with potent mAbs isolated from a naturally exposed individual."
Peptide identification files are provided in MGF/MZID, as well as in CSV format.
DOI: 10.5281/zenodo.10207480
title: HDX-MS raw data for "Structural elucidation of full-length Pfs48/45 in complex with potent mAbs isolated from a naturally exposed individual"

description: These are the raw files of the HDX-MS data for the paper "Structural elucidation of full-length Pfs48/45 in complex with potent mAbs isolated from a naturally exposed individual."
Peptide identification files are provided in MGF/MZID, as well as in CSV format.
DOI: 10.5517/ccdc.csd.cc2fcgfq
title: CCDC 2245343: Experimental Crystal Structure Determination

description: Related Article: Manjeet Singh, Sachin A. Nalawade, DRGKoppalu. R. Puneeth Kumar, Kuruva Veeresh, Saikat Pahan, Sanjit Dey, Hosahudya N. Gopi|2023|Eur.J.Org.Chem.|26|e202300682|doi:10.1002/ejoc.202300682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcggr
title: CCDC 2245344: Experimental Crystal Structure Determination

description: Related Article: Manjeet Singh, Sachin A. Nalawade, DRGKoppalu. R. Puneeth Kumar, Kuruva Veeresh, Saikat Pahan, Sanjit Dey, Hosahudya N. Gopi|2023|Eur.J.Org.Chem.|26|e202300682|doi:10.1002/ejoc.202300682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcghs
title: CCDC 2245345: Experimental Crystal Structure Determination

description: Related Article: Manjeet Singh, Sachin A. Nalawade, DRGKoppalu. R. Puneeth Kumar, Kuruva Veeresh, Saikat Pahan, Sanjit Dey, Hosahudya N. Gopi|2023|Eur.J.Org.Chem.|26|e202300682|doi:10.1002/ejoc.202300682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fcgjt
title: CCDC 2245346: Experimental Crystal Structure Determination

description: Related Article: Manjeet Singh, Sachin A. Nalawade, DRGKoppalu. R. Puneeth Kumar, Kuruva Veeresh, Saikat Pahan, Sanjit Dey, Hosahudya N. Gopi|2023|Eur.J.Org.Chem.|26|e202300682|doi:10.1002/ejoc.202300682
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fwwpx
title: CCDC 2261130: Experimental Crystal Structure Determination

description: Related Article: Yihuan Zhang|2023|CSD Communication|||
description: Related Article: Yihuan Zhang, Haoran Liu, Huowang He, Bo Zou, Zhaofen Zhai, Taoxing Yu, Atsuhiro Osuka, Hua-Wei Jiang|2023|Eur.J.Org.Chem.|26|e202300666|doi:10.1002/ejoc.202300666
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fwwqy
title: CCDC 2261131: Experimental Crystal Structure Determination

description: Related Article: Yihuan Zhang, Haoran Liu, Huowang He, Bo Zou, Zhaofen Zhai, Taoxing Yu, Atsuhiro Osuka, Hua-Wei Jiang|2023|Eur.J.Org.Chem.|26|e202300666|doi:10.1002/ejoc.202300666
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g7bxz
title: CCDC 2271181: Experimental Crystal Structure Determination

description: Related Article: Niki Mavragani, Alexandros A. Kitos, Diogo A. Gálico, Akseli Mansikkamäki, Muralee Murugesu|2023|Chem.Commun.|59|13970|doi:10.1039/D3CC03034B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gqnxs
title: CCDC 2285906: Experimental Crystal Structure Determination

description: Related Article: Deepak Manoharan, Shamim Ahmad, Srinu Tothadi, Franziska Emmerling, Biswajit Bhattacharya, Soumyajit Ghosh|2023|CrystEngComm|25|6416|doi:10.1039/D3CE00928A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gqnyt
title: CCDC 2285907: Experimental Crystal Structure Determination

description: Related Article: Deepak Manoharan, Shamim Ahmad, Srinu Tothadi, Franziska Emmerling, Biswajit Bhattacharya, Soumyajit Ghosh|2023|CrystEngComm|25|6416|doi:10.1039/D3CE00928A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gsxdl
title: CCDC 2288060: Experimental Crystal Structure Determination

description: Related Article: Oskar G. Wood, Leanne Jones, Chris S. Hawes|2023|CrystEngComm|25|6371|doi:10.1039/D3CE00985H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gsxfm
title: CCDC 2288061: Experimental Crystal Structure Determination

description: Related Article: Oskar G. Wood, Leanne Jones, Chris S. Hawes|2023|CrystEngComm|25|6371|doi:10.1039/D3CE00985H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gsxgn
title: CCDC 2288062: Experimental Crystal Structure Determination

description: Related Article: Oskar G. Wood, Leanne Jones, Chris S. Hawes|2023|CrystEngComm|25|6371|doi:10.1039/D3CE00985H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gsxhp
title: CCDC 2288063: Experimental Crystal Structure Determination

description: Related Article: Oskar G. Wood, Leanne Jones, Chris S. Hawes|2023|CrystEngComm|25|6371|doi:10.1039/D3CE00985H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5fn11345
title: MassIVE MSV000093511 - Zhang Plasma Extracellular Vesicle Proteomics in Healthy Donors
title: Quantitative LC/MS/MS was performed on 2 uL (1 ug) of each sample, using a nanoAcquity UPLC system (Waters Corp) coupled to a Thermo Orbitrap Fusion Lumos high resolution accurate mass tandem mass spectrometer (Thermo) equipped with a FAIMSPro device via a nanoelectrospray ionization source. Briefly, the sample was first trapped on a Symmetry C18 20 mm x 180 um trapping column (5 ul/min at 99.9/0.1 v/v water/acetonitrile), after which the analytical separation was performed using a 1.8 um Acquity HSS T3 C18 75 um x 250 mm column (Waters Corp.) with a 90-min linear gradient of 5 to 30% acetonitrile with 0.1% formic acid at a flow rate of 400 nanoliters/minute (nL/min) with a column temperature of 55C. Data collection on the Fusion Lumos mass spectrometer was performed for three difference compensation voltages (-40v, -60v, -80v). Within each CV, a data-dependent acquisition (DDA) mode of acquisition with a r 120,000 (m/z 200) full MS scan from m/z 375 - 1500 with a target AGC value of 4e5 ions was performed. MS/MS scans were acquired in the Orbitrap at r 50,000 ( m/z 200) from m/z 100 with a target AGC value of 1e5 and max fill time of 35 ms. The total cycle time for each CV was 1s, with total cycle times of 3 sec between like full MS scans. A 20s dynamic exclusion was employed to increase depth of coverage. The total analysis cycle time for each sample injection was approximately 2 hours.
DOI: 10.13020/62rc-r153
title: Data and data analysis script supporting Is Fair Representation Good for Children? Effects of Electoral Partisan Bias in State Legislatures on Policies Affecting Children’s Health and Well-Being
DOI: 10.5281/zenodo.10204976
title: Ptychographic Diffraction Images

description: X-ray ptychographic data obtained from a tungsten test pattern etched with random features. Included are raw coherent diffraction images at 963 scan points, corresponding beam positions, and the reconstructed complex object and probe images.
DOI: 10.5281/zenodo.10204977
title: Ptychographic Diffraction Images

description: X-ray ptychographic data obtained from a tungsten test pattern etched with random features. Included are raw coherent diffraction images at 963 scan points, corresponding beam positions, and the reconstructed complex object and probe images.
DOI: 10.7488/ds/7548
title: Nunchaku: Optimally partitioning data into piece-wise contiguous segments
title: Time-series data of the growth of budding yeast on fructose

description: Time-series data for the FY4 prototrophic strain of budding yeast growing in different concentrations of fructose in minimal media in a Tecan plate reader after pre-growth in SC medium with 2% pyruvate. The dataset relates to the publication 'Nunchaku: Optimally partitioning data into piece-wise linear segments' by Yu Huo, Hongpei Li, Xiao Wang, Xiaochen Du, Peter S. Swain (https://doi.org/10.1101/2023.05.26.542406).
description: README.txt - A description of how the data is gathered and explanations of the column headings. fructose_growth.tsv - A text file of time-series data of optical density in long table format.
DOI: 10.21338/era5-grids
title: EOSC era5-grids, edition 1.0
DOI: 10.5066/p9tlm9yd
title: Major- and trace-element chemical analyses of whole-rock and glass from the Kamakai?a Hills of the Southwest Rift Zone of K?lauea volcano, Hawai?i

description: This dataset includes wavelength dispersive X-ray fluorescence (WD-XRF) major-oxide and trace-element whole-rock analyses, laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) trace-element whole-rock analyses, and glass analyses by electron microprobe of scoria and lava samples from the Kamakai?a Hills of the Southwest Rift Zone of K?lauea volcano, Island of Hawai?i. Whole-rock chemical analyses were performed at the Hamilton Analytical Laboratory at Hamilton College in Clinton, New York, USA, whereas glass chemical analyses were performed at the U.S. Geological Survey in Menlo Park, California, USA.
DOI: 10.25345/c56688w0f
title: MassIVE MSV000093513 - Alcoholic hepatitis plasma degradome
title: It was hypothesized that the severe inflammatory liver injury caused by alcoholic hepatitis (AH) would yield a unique peptidome profile in human patient plasma, and degraded fragments (degradome) of hepatic and extracelluar proteomes would change between AH patient groups defined by MELD scores. Following addition of iRT standards (Biognosys), the low molecular weight proteome (peptidome) was isolated from 100uL patient K3EDTA plasma using TCA precipitation, cleaned up by solid phase extraction on Waters Oasis HLB 96-well plates, and peptide concentrations estimated by A205nm on a Nanodrop. Peptides were separated by nanoUPLC on Proxeon 1000 thermostated at 50oC prior to nanoelectrospray into an Orbitrap ELITE. High resolution MS1 (240,000) were collected in the FT and MS2 were collected by ITMS. Data were analyzed by PEAKS Studio for de novo database analysis and PTM imputation. TIC-normalized XIC data were used for statistical analyses.
DOI: 10.21338/eea-stations
title: EOSC eea-stations, edition 1.0
DOI: 10.5281/zenodo.10209960
title: Unpublished data: Quantifying CO2 Emissions and Carbon Sequestration from Digestate-Amended Soil Using Natural 13C Abundance as a Tracer

description: Unprocessed data of CO2 evolution measured daily on cavity ring-down spectroscopy analyser (G2201-i CRDS isotopic CO2/CH4 analyser, Picarro, Santa Clara, CA, USA).
DOI: 10.5281/zenodo.10209961
title: Unpublished data: Quantifying CO2 Emissions and Carbon Sequestration from Digestate-Amended Soil Using Natural 13C Abundance as a Tracer

description: Unprocessed data of CO2 evolution measured daily on cavity ring-down spectroscopy analyser (G2201-i CRDS isotopic CO2/CH4 analyser, Picarro, Santa Clara, CA, USA).
DOI: 10.5281/zenodo.10211158
title: Unpublished data: Quantifying CO2 Emissions and Carbon Sequestration from Digestate-Amended Soil Using Natural 13C Abundance as a Tracer

description: Unprocessed data of CO2 evolution measured daily on cavity ring-down spectroscopy analyser (G2201-i CRDS isotopic CO2/CH4 analyser, Picarro, Santa Clara, CA, USA).
DOI: 10.21338/eea-regions
title: EOSC eea-regions, edition 1.0
DOI: 10.21338/merged-eosc-ess10sc
title: EOSC merged-EOSC-ESS10SC, edition 1.0
DOI: 10.21338/merged-eosc-ess10
title: EOSC merged-EOSC-ESS10, edition 1.0
DOI: 10.21338/merged-eosc-ess9e03_1
title: EOSC merged-EOSC-ESS9e03_1, edition 1.0
DOI: 10.21338/merged-eosc-ess8e02_2
title: EOSC merged-EOSC-ESS8e02_2, edition 1.0
DOI: 10.21338/era5-regions
title: EOSC era5-regions, edition 1.0