cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24069466
title: Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes

description: In many applications, the interest is in treatment effects on random quantities of subjects, where those random quantities are not directly observable but can be estimated based on data from each subject. In this article, we propose a general framework for conducting causal inference in a hierarchical data generation setting. The identifiability of causal parameters of interest is shown under a condition on the biasedness of subject level estimates and an ignorability condition on the treatment assignment. Estimation of the treatment effects is constructed by inverse propensity score weighting on the estimated subject level parameters. A multiple testing procedure able to control the false discovery proportion is proposed to identify the nonzero treatment effects. Theoretical results are developed to investigate the proposed procedure, and numerical simulations are carried out to evaluate its empirical performance. A case study of medication effects on brain functional connectivity of patients with Autism spectrum disorder (ASD) using fMRI data is conducted to demonstrate the utility of the proposed method. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24069466.v1
title: Unveiling the Unobservable: Causal Inference on Multiple Derived Outcomes

description: In many applications, the interest is in treatment effects on random quantities of subjects, where those random quantities are not directly observable but can be estimated based on data from each subject. In this article, we propose a general framework for conducting causal inference in a hierarchical data generation setting. The identifiability of causal parameters of interest is shown under a condition on the biasedness of subject level estimates and an ignorability condition on the treatment assignment. Estimation of the treatment effects is constructed by inverse propensity score weighting on the estimated subject level parameters. A multiple testing procedure able to control the false discovery proportion is proposed to identify the nonzero treatment effects. Theoretical results are developed to investigate the proposed procedure, and numerical simulations are carried out to evaluate its empirical performance. A case study of medication effects on brain functional connectivity of patients with Autism spectrum disorder (ASD) using fMRI data is conducted to demonstrate the utility of the proposed method. Supplementary materials for this article are available online.
DOI: 10.5281/zenodo.8403985
title: The Responses of Students using Online Loans at the Institut Teknologi Sepuluh Nopember

description: The dataset of responses of students using online loans at the ITS. We remove privacy information, such as the birth of data and home address. We only store the gender. The dataset is in CSV file
DOI: 10.5281/zenodo.8403984
title: The Responses of Students using Online Loans at the Institut Teknologi Sepuluh Nopember

description: The dataset of responses of students using online loans at the ITS. We remove privacy information, such as the birth of data and home address. We only store the gender. The dataset is in CSV file
DOI: 10.21223/1fjz5g/zuujgv
title: 08_Material_list.txt

description: :unav
DOI: 10.21223/1fjz5g/vouljb
title: 07_Fieldbook_RBIO200610_LAVICT_Phureja_Collection_.txt

description: :unav
DOI: 10.21223/1fjz5g/wy6060
title: RBIO200610_LAVICT_Phureja_Collection_Field.xls

description: :unav
DOI: 10.21223/1fjz5g/pyjqsy
title: MORP200610_LAVICT_Phureja_Collection_Field.xls

description: :unav
DOI: 10.21223/1fjz5g/sousta
title: 02_Fieldbook_TMIN200610_LAVICT_Phureja_Collection_.txt

description: :unav
DOI: 10.21223/1fjz5g/u9x4hn
title: 04_Fieldbook_TCAR200610_LAVICT_Phureja_Collection_.txt

description: :unav
DOI: 10.21223/1fjz5g/lggnww
title: TMIN200610_LAVICT_Phureja_Collection_Field.xls

description: :unav
DOI: 10.21223/1fjz5g/a0q5ot
title: 01_Fieldbook_PTYL200610_LAVICT_Phureja_Collection_.txt

description: :unav
DOI: 10.21223/1fjz5g/h8ycb1
title: 03_Fieldbook_TVIT200610_LAVICT_Phureja_Collection_.txt

description: :unav
DOI: 10.21223/1fjz5g/rctwes
title: 06_Fieldbook_TMORP200610_LAVICT_Phureja_Collection_.txt

description: :unav
DOI: 10.21223/1fjz5g/etrzwb
title: TCAR200610_LAVICT_Phureja_Collection_Field.xls

description: :unav
DOI: 10.21223/1fjz5g/jbrnwo
title: PTYL200610_LAVICT_Phureja_Collection_Field.xls

description: :unav
DOI: 10.21223/1fjz5g/xr6sjm
title: 09_Datadictionary.txt

description: :unav
DOI: 10.21223/1fjz5g/kw4fwy
title: 05_Fieldbook_TPHEN200610_LAVICT_Phureja_Collection_.txt

description: :unav
DOI: 10.21223/1fjz5g/hkww2u
title: TVIT200610_LAVICT_Phureja_Collection_Field.xls

description: :unav
DOI: 10.21223/1fjz5g/ddt5ss
title: TPHE200610_LAVICT_Phureja_Collection_Field.xls

description: :unav
DOI: 10.15482/usda.adc/1529765
title: Data from: Performance of a cotton gin machine that removes plastic contamination from seed cotton

description: This is USDA-ARS data from the publication: "Performance of a cotton gin machine that removes plastic contamination from seed cotton." The study was conducted during the Fall of 2020 with continued data analysis thru September 2021. Plastic contamination is the most pressing issue for the U.S. cotton industry today. Due to this problem, U.S. cotton has lost the 7 cents per pound premium it brought on international cotton markets. Plastic contaminants are often introduced prior to ginning, but cotton gin machinery can tear and shred the plastics so that they become more difficult to remove.  A cotton gin machine developed and used to combat the plastic contamination problem in Chinese cotton was tested to compare its performance at removing typical plastics found in U.S. cotton to that of conventional cotton gin seed cotton cleaners.
DOI: 10.5281/zenodo.8403711
title: The Responses of Students using Online Loans at the Institut Teknologi Sepuluh Nopember

description: The dataset of responses of students using online loans at the ITS. We remove privacy information, such as the birth of data and home address. We only store the gender. The dataset is in CSV file
DOI: 10.5281/zenodo.8403710
title: The Responses of Students using Online Loans at the Institut Teknologi Sepuluh Nopember

description: The dataset of responses of students using online loans at the ITS. We remove privacy information, such as the birth of data and home address. We only store the gender. The dataset is in CSV file
DOI: 10.6073/pasta/c6eb828ea85cec9334ab19b2cbe911d1
title: NBP01 Nitrogen and phosphorus in bulk precipitation at Konza Prairie

description: Measurements include rainfall amounts, nitrate (NO3-N), ammonia (NH4-H), soluble reactive phosphate (SRP), and total nitrogen and phosphorus concentrations in bulk precipitation collected at multiple locations. Changes effective July 2022: As of July 2022, we have discontinued the collection of bulk precipitation chemistry data. Data on wetfall chemistry at the Konza Prairie Biological Station from 1982-present is available through the National Atmospheric Deposition Program (NADP - https://nadp.slh.wisc.edu/). Konza Prairie is listed as site #KS31 in the National Trends Network’s database (https://nadp.slh.wisc.edu/sites/ntn-KS31/). Additional data on dry deposition and total (wetfall + dryfall) deposition rates of N and S are also available through the CASTNET site (https://www.epa.gov/castnet/download-data) using SiteID: KNZ184.
DOI: 10.5281/zenodo.8377390
title: Data_3D

description: Data
DOI: 10.5281/zenodo.8377391
title: Data_2022WR034207

description: The raw data related to an under review research paper.
DOI: 10.5281/zenodo.8403987
title: Data_3D

description: Data
DOI: 10.5517/ccdc.csd.ccxthmt
title: CCDC 858657: Experimental Crystal Structure Determination

description: Related Article: S.Bajwa,T.Storr,L.Hatcher,T.Williams,C.Baumann,A.Whitwood,D.Allan,S.Teat,P.Raithby,I.Fairlamb|2023|CSD Communication|||
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.cczx2tr
title: CCDC 920725: Experimental Crystal Structure Determination

description: Related Article: Paul R. Raithby|2023|CSD Communication|||
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.cc10cp57
title: CCDC 934748: Experimental Crystal Structure Determination

description: Related Article: V.V.Gurzhiy|2023|CSD Communication|||
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.cc10cp46
title: CCDC 934747: Experimental Crystal Structure Determination

description: Related Article: V.V.Gurzhiy|2023|CSD Communication|||
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.cc10pg9g
title: CCDC 944145: Experimental Crystal Structure Determination

description: Related Article: Vladislav V. Gurzhiy|2023|CSD Communication|||
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.cc1nx6nf
title: CCDC 1546455: Experimental Crystal Structure Determination

description: Related Article: A.V. Eremin, V.V. Gurzhiy|2023|CSD Communication|||
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.cc24hd79
title: CCDC 1981000: Experimental Crystal Structure Determination

description: Related Article: A.V. Paderina, E.V. Gracheva, V.V. Gurzhiy|2023|CSD Communication|||
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.cc2713w9
title: CCDC 2056660: Experimental Crystal Structure Determination

description: Related Article: Guorong Lei|2023|CSD Communication|||
description: Related Article: Guorong Lei, Ye Zhong, Yiqiang Xu, Fan Yang, Jiandong Bai, Zhimin Li, Jianguo Zhang, Tonglai Zhang|2021|Chin.J.Chem.|39|1193|doi:10.1002/cjoc.202000672
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: 10.21223/ygtzmk/4oorwb
title: 04_Material_list.txt

description: :unav
DOI: 10.21223/ygtzmk/e8hdwk
title: TPHEN200412_LAVICT.xls

description: :unav
DOI: 10.21223/ygtzmk/ebmtkv
title: TVIT200412_LAVICT.xls

description: :unav
DOI: 10.5517/ccdc.csd.cc28wj2s
title: CCDC 2111815: Experimental Crystal Structure Determination

description: Related Article: Masoud Kazem-Rostami|2023|CSD Communication|||
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: 10.21223/ygtzmk/lsqjwp
title: 05_Datadictionary.txt

description: :unav
DOI: 10.5517/ccdc.csd.cc2d010h
title: CCDC 2204565: Experimental Crystal Structure Determination

description: Related Article: Serhii Vasylevskyi|2023|CSD Communication|||
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: 10.21223/ygtzmk/v35l8q
title: 03_Fieldbook_TPHEN200412_LAVICT.txt

description: :unav
DOI: 10.5517/ccdc.csd.cc2g4j9g
title: CCDC 2268465: Experimental Crystal Structure Determination

description: Related Article: Dmitry Yufit|2023|CSD Communication|||
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: 10.21223/ygtzmk/vgotwp
title: 02_Fieldbook_TVIT200412_LAVICT.txt

description: :unav
DOI: 10.21223/ygtzmk/lx5fsh
title: 01_Fieldbook_TMIN200412_LAVICT.txt

description: :unav
DOI: 10.21223/ygtzmk/w2wc0y
title: TMIN200412_LAVICT.xls

description: :unav
DOI: 10.5517/ccdc.csd.cc2g4lw3
title: CCDC 2268545: Experimental Crystal Structure Determination

description: Related Article: chengqi gao|2023|CSD Communication|||
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.cc2g4wh0
title: CCDC 2268812: Experimental Crystal Structure Determination

description: Related Article: Dmitry Yufit|2023|CSD Communication|||
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: 10.6073/pasta/5c37cfd643632feca27f07aa8fe508c2
title: NBP01 Nitrogen and phosphorus in bulk precipitation at Konza Prairie

description: Measurements include rainfall amounts, nitrate (NO3-N), ammonia (NH4-H), soluble reactive phosphate (SRP), and total nitrogen and phosphorus concentrations in bulk precipitation collected at multiple locations. Changes effective July 2022: As of July 2022, we have discontinued the collection of bulk precipitation chemistry data. Data on wetfall chemistry at the Konza Prairie Biological Station from 1982-present is available through the National Atmospheric Deposition Program (NADP - https://nadp.slh.wisc.edu/). Konza Prairie is listed as site #KS31 in the National Trends Network’s database (https://nadp.slh.wisc.edu/sites/ntn-KS31/). Additional data on dry deposition and total (wetfall + dryfall) deposition rates of N and S are also available through the CASTNET site (https://www.epa.gov/castnet/download-data) using SiteID: KNZ184.
DOI: 10.5281/zenodo.8401334
title: Dataset: Metabolic shift toward ketosis in asocial cavefish increases social-like affinity -1

description: These are video dataset 1 for the publication at BMC Biology 2023 whose summary is: Background: Social affinity and collective behavior are nearly ubiquitous in the animal kingdom, but many lineages feature evolutionarily asocial species. These solitary species may have evolved to conserve energy in food-sparse environments. However, the mechanism by which metabolic shifts regulate social affinity is not well investigated. Results: In this study, we used the Mexican tetra (<em>Astyanax mexicanus</em>), which features riverine sighted surface (surface fish) and cave-dwelling populations (cavefish), to address the impact of metabolic shifts on asociality and other cave-associated behaviors in cavefish, including repetitive turning, sleeplessness, swimming longer distances, and enhanced foraging behavior. After one month of ketosis-inducing ketogenic diet feeding, asocial cavefish exhibited significantly higher social affinity, whereas social affinity regressed in cavefish fed the standard diet. The ketogenic diet also reduced repetitive turning and swimming in cavefish. No major behavioral shifts were found regarding sleeplessness and foraging behavior, suggesting that other evolved behaviors are not largely regulated by ketosis. We further examined the effects of the ketogenic diet via supplementation with exogenous ketone bodies, revealing that ketone bodies are pivotal molecules positively associated with social affinity. Conclusions: Our study indicated that fish that evolved to be asocial remain capable of exhibiting social affinity under ketosis, possibly linking the seasonal food availability and sociality.
DOI: 10.5281/zenodo.8401333
title: Dataset: Metabolic shift toward ketosis in asocial cavefish increases social-like affinity -1

description: These are video dataset 1 for the publication at BMC Biology 2023 whose summary is: Background: Social affinity and collective behavior are nearly ubiquitous in the animal kingdom, but many lineages feature evolutionarily asocial species. These solitary species may have evolved to conserve energy in food-sparse environments. However, the mechanism by which metabolic shifts regulate social affinity is not well investigated. Results: In this study, we used the Mexican tetra (<em>Astyanax mexicanus</em>), which features riverine sighted surface (surface fish) and cave-dwelling populations (cavefish), to address the impact of metabolic shifts on asociality and other cave-associated behaviors in cavefish, including repetitive turning, sleeplessness, swimming longer distances, and enhanced foraging behavior. After one month of ketosis-inducing ketogenic diet feeding, asocial cavefish exhibited significantly higher social affinity, whereas social affinity regressed in cavefish fed the standard diet. The ketogenic diet also reduced repetitive turning and swimming in cavefish. No major behavioral shifts were found regarding sleeplessness and foraging behavior, suggesting that other evolved behaviors are not largely regulated by ketosis. We further examined the effects of the ketogenic diet via supplementation with exogenous ketone bodies, revealing that ketone bodies are pivotal molecules positively associated with social affinity. Conclusions: Our study indicated that fish that evolved to be asocial remain capable of exhibiting social affinity under ketosis, possibly linking the seasonal food availability and sociality.
DOI: 10.21223/ygtzmk
title: Dataset for: Nutritional Analysis of native potato in Huancayo - Junin, 2004

description: An assessment of micronutrients was conducted on 38 varieties of native potatoes using a Completely Randomized Design (CRD). This evaluation took place with planted materials in the Junin region during the year 2004, and it also included an assessment of vitamin C and phenolic compounds.
DOI: 10.6084/m9.figshare.23620479
title: Data Repository

description: Raw data products from Widespread Presense of Endogenized Polintoviruses in Scleretina Coral Genomes
DOI: 10.6084/m9.figshare.23620479.v5
title: Data Repository

description: Raw data products from Widespread Presense of Endogenized Polintoviruses in Scleretina Coral Genomes
DOI: 10.48366/r642407
title: Overview of methods applied in creation of rainfall intensity-duration-frequency curves

description: The comparison represents the collected substantial information about methods related to creation of rainfall IDF curves (intensity-duration-frequency). Creation of IDF curves usually include two steps - primary and secondary processing. Primary processing is the process of choosing adequate high intensities of rainfall, of both short duration (less than 1 or 2 hours) and long durations (greater than 1 or 2 hours). Secondary processing is the process of determination of probabilities related to rainfall of specific durations and intensities, in order to obtain frequency characteristics (return periods), and later providing od IDF curves.

- data type - defines which data was used for creation of IDF curves
- data observation stations - defines the number of stations used in the research
- extreme values choice - usually annual maximums or peak over threshold
- primary processing of rainfall data - defines wether observed rainfall depths and durations were primary processed in order to obtain maximum intensities for each rainfall duration (usually 5, 10, 20, 30,...,1080, 1440 minutes), e.g., by sliding window approach with fixed duration. In some cases, intensities or depths for different durations are on disposition
- temporal downscaling - defines wether rainfall data of low resolution was downscaled (dissagregated) to obtain intensities or depths of lower rainfall durations
- spatial downscaling - defines wether intensity - duration - frequency curves were obtained by spatial downscaling, e.g., from climate models outputs or satellite observations or radar observations
- multivariate freqency analysis - defines wether intensity - duration - frequency curves were obtained by multivariate analysis or univariate analysis
- uncertainty estimation - defines wether confidence intervals for rainfall intensities (or depths), that is, for curves, were obtained
DOI: 10.5281/zenodo.8057227
title: WACCPD-MURaM-RawData

description: Here are the raw data for the plots used in the WACCPD 2023 paper submission titled "Analysis of MURaM, a Solar Physics Application for Scalability, Performance and Portability" Here is the GitHub link to where the code resides https://github.com/NCAR/MURaM_main