cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e189021
title: Data and Code for: Racial Gaps in Federal Flood Buyout Compensations

description: In a managed retreat, or “buyout,” program, homeowners are offered their property’s fair-market value to relocate from a flood-prone area. Using a nationwide sample of federal buyout acquisitions and the universe of US housing transactions over the last two decades, we estimate whether the discount in buyout price compensation, calculated using a hedonic prediction model, depends on a homeowner's race. We provide the first systematic evidence of inequitable compensation in a federal buyout program using nationwide, administrative data. Disproportionate compensation, in an attempt to adapt to a warming climate, may further widen the wealth and social mobility gap.
DOI: 10.3886/e189021v1
title: Data and Code for: Racial Gaps in Federal Flood Buyout Compensations

description: In a managed retreat, or “buyout,” program, homeowners are offered their property’s fair-market value to relocate from a flood-prone area. Using a nationwide sample of federal buyout acquisitions and the universe of US housing transactions over the last two decades, we estimate whether the discount in buyout price compensation, calculated using a hedonic prediction model, depends on a homeowner's race. We provide the first systematic evidence of inequitable compensation in a federal buyout program using nationwide, administrative data. Disproportionate compensation, in an attempt to adapt to a warming climate, may further widen the wealth and social mobility gap.
DOI: 10.3886/e184122
title: Code for "The 2021 Child Tax Credit: Who received it and how did they spend it?"

description: In March of 2021, Congress passed a one-year expansion of the Child Tax Credit (CTC), creating a temporary, near-universal child benefit. Despite expanding eligibility to millions of previously-ineligible children living in low-income households, only two-thirds received the monthly benefit. We illustrate that some historic gaps in receipt of the CTC remain, despite the efforts to make the credit more universal: prior tax filing, household income, and survey language were among the strongest predictors of monthly receipt. More work is needed to understand why families did not receive the CTC and how to reach these vulnerable populations.
description: low-income individuals using the Providers App. Smallest Geographic Unit: US
description: web-based survey;
DOI: 10.3886/e184122v1
title: Code for "The 2021 Child Tax Credit: Who received it and how did they spend it?"

description: In March of 2021, Congress passed a one-year expansion of the Child Tax Credit (CTC), creating a temporary, near-universal child benefit. Despite expanding eligibility to millions of previously-ineligible children living in low-income households, only two-thirds received the monthly benefit. We illustrate that some historic gaps in receipt of the CTC remain, despite the efforts to make the credit more universal: prior tax filing, household income, and survey language were among the strongest predictors of monthly receipt. More work is needed to understand why families did not receive the CTC and how to reach these vulnerable populations.
description: low-income individuals using the Providers App. Smallest Geographic Unit: US
description: web-based survey;
DOI: 10.3886/e184106
title: Data and code for: Timely Business Dynamics using Google Places

description: We introduce a new real-time method to measure business opening and closure rates by relying on Google Places, the data behind the Google Maps platform. We collect data on establishments of customer-facing industries (food, retail, accommodation) and provide evidence that the opening and closure rates reflect well the temporary closures and re-opening during the pandemic. We find that the operational or closed status of establishments is correlated with business reviews: fewer reviews are associated with impending business exit and more reviews are associated with expanding businesses posting new job vacancies. This repository provides the code to build the equivalent of Figure 1 of the paper.
DOI: 10.3886/e184106v1
title: Data and code for: Timely Business Dynamics using Google Places

description: We introduce a new real-time method to measure business opening and closure rates by relying on Google Places, the data behind the Google Maps platform. We collect data on establishments of customer-facing industries (food, retail, accommodation) and provide evidence that the opening and closure rates reflect well the temporary closures and re-opening during the pandemic. We find that the operational or closed status of establishments is correlated with business reviews: fewer reviews are associated with impending business exit and more reviews are associated with expanding businesses posting new job vacancies. This repository provides the code to build the equivalent of Figure 1 of the paper.
DOI: 10.6084/m9.figshare.22787885
title: Is a cork a legal shortcut

description: Biomechanical parameters on the amount of rotation in freestyle tricks
DOI: 10.6084/m9.figshare.22787885.v1
title: Is a cork a legal shortcut

description: Biomechanical parameters on the amount of rotation in freestyle tricks
DOI: 10.23645/epacomptox.20394501.v4
title: ToxValDB v9.3

description: This resource is a compilation of information sourced from many sites, databases and sources, including U.S. Federal and state sources and international bodies, which can save the user time by providing information in one location. The data are not reviewed by USEPA – the user must apply judgment in use of the information. You should consult the original scientific paper or data source if possible to ensure an understanding of the context of the data contained in the Dashboard. <br> Science Inventory, CCTE products: https://cfpub.epa.gov/si/si_public_search_results.cfm?advSearch=true&showCriteria=2&keyword=CCTE&TIMSType=&TIMSSubTypeID=&epaNumber=&ombCat=Any&dateBeginPublishedPresented=07/01/2017&dateEndPublishedPresented=&dateBeginUpdated=&dateEndUpdated=&DEID=&personName=&personID=&role=Any&journalName=&journalID=&publisherName=&publisherID=&sortBy=pubDate&count=25
DOI: 10.48373/0pwd-c575
title: EnvThes
DOI: 10.25380/iastate.19719071
title: Global 1 km resolution daily near-surface air temperature for 2005

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2005 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185 <br> Change log: All 2005 files were updated 5/9/23 <br>
DOI: 10.25380/iastate.19719071.v3
title: Global 1 km resolution daily near-surface air temperature for 2005

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2005 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185 <br> Change log: All 2005 files were updated 5/9/23 <br>
DOI: 10.25380/iastate.19719071.v2
title: Global 1 km resolution daily near-surface air temperature for 2005

description: A gridded 1 km resolution global (50°S ~79°N) daily maximum and minimum near-surface air temperature dataset for 2005 that was generated using a seamless 1 km resolution land surface temperature dataset, a 30-arc second (~1 km) resolution digital elevation model (DEM) data, and air temperature observations at weather stations and a spatially varying coefficient model with sign preservation (SVCM-SP) algorithm. The gridded air temperature dataset is of great use in global studies of urban, climate, and hydrology. Documentation for this dataset can be found with the 2003 data. Data from other years is available at: https://doi.org/10.25380/iastate.c.6005185
DOI: 10.5281/zenodo.7900544
title: Supporting data for manuscript "Chemical and visual characterisation of EGRIP glacial ice and cloudy bands within "

description: Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) offers micron-resolution 2D chemical imaging, which has been adapted recently to ice core analysis. The datasets are supporting information for the manuscript "Chemical and visual characterisation of EGRIP glacial ice and cloudy bands within" accepted for publication in "The Cryosphere" (https://doi.org/10.5194/tc-2022-250). Measurements were performed at the Ca’Foscari University of Venice, considered as analytes are 23Na, 24Mg, 27Al, 48Ti, 56Fe and 88Sr. Background and drift correction as well as image construction were performed using the software HDIP (Teledyne Photon Machines, Bozeman, MT, USA). Impurity maps are acquired as a pattern of lines, without overlap in the direction perpendicular to that of the scan, and without any further spatial interpolation. For each of the maps, for every chemical channel the intensities (in counts, after background and drift correction) are provided as a separate file. These maps were obtained using a 20 µm square spot. Samples are referred to using the original identifier of the manuscript, e.g. S2 for sample 2 from 1367.05 m depth.
DOI: 10.5281/zenodo.7900543
title: Supporting data for manuscript "Chemical and visual characterisation of EGRIP glacial ice and cloudy bands within "

description: Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) offers micron-resolution 2D chemical imaging, which has been adapted recently to ice core analysis. The datasets are supporting information for the manuscript "Chemical and visual characterisation of EGRIP glacial ice and cloudy bands within" accepted for publication in "The Cryosphere" (https://doi.org/10.5194/tc-2022-250). Measurements were performed at the Ca’Foscari University of Venice, considered as analytes are 23Na, 24Mg, 27Al, 48Ti, 56Fe and 88Sr. Background and drift correction as well as image construction were performed using the software HDIP (Teledyne Photon Machines, Bozeman, MT, USA). Impurity maps are acquired as a pattern of lines, without overlap in the direction perpendicular to that of the scan, and without any further spatial interpolation. For each of the maps, for every chemical channel the intensities (in counts, after background and drift correction) are provided as a separate file. These maps were obtained using a 20 µm square spot. Samples are referred to using the original identifier of the manuscript, e.g. S2 for sample 2 from 1367.05 m depth.
DOI: 10.5281/zenodo.7786862
title: Trans-eQTL effects on risk of type 1 diabetes: a test of the sparse effector (omnigenic) hypothesis of complex trait genetics (supplementary data)

description: This repository contains summary-level data generated by performing Genomewide aggregated trans- effects (GATE) analysis in case-control study of Type 1 Diabetes (T1D).
description: This study was supported by Diabetes UK [15/0005301]. The establishment of the SDRN Type 1 Bioresource was supported by the Chief Scientist Office of the Scottish Government Health Directorates [ETM/47], by Diabetes UK [10/0004010] and by in-kind contributions from the Scottish Diabetes Research Network. Genotyping was supported by the Juvenile Diabetes Research Fund [17-2013-7]. Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6] and the Scottish Funding Council [HR03006]. The development of the GENOSCORES platform was supported by a Springboard Award [SBF006/1109] from the Academy of Medical Sciences, supported in turn by the Wellcome Trust, the UK Government Department of Business, Energy and Industrial Strategy, the British Heart Foundation and Diabetes UK.
DOI: 10.5281/zenodo.7786861
title: Trans-eQTL effects on risk of type 1 diabetes: a test of the sparse effector (omnigenic) hypothesis of complex trait genetics (supplementary data)

description: This repository contains summary-level data generated by performing Genomewide aggregated trans- effects (GATE) analysis in case-control study of Type 1 Diabetes (T1D).
description: This study was supported by Diabetes UK [15/0005301]. The establishment of the SDRN Type 1 Bioresource was supported by the Chief Scientist Office of the Scottish Government Health Directorates [ETM/47], by Diabetes UK [10/0004010] and by in-kind contributions from the Scottish Diabetes Research Network. Genotyping was supported by the Juvenile Diabetes Research Fund [17-2013-7]. Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6] and the Scottish Funding Council [HR03006]. The development of the GENOSCORES platform was supported by a Springboard Award [SBF006/1109] from the Academy of Medical Sciences, supported in turn by the Wellcome Trust, the UK Government Department of Business, Energy and Industrial Strategy, the British Heart Foundation and Diabetes UK.
DOI: 10.57967/hf/0628
title: CysPresso
DOI: 10.34740/kaggle/dsv/5644646
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7685151
title: Replication package for: Resolving Failed Banks: Uncertainty, Multiple Bidding & Auction Design

description: "Resolving Failed Banks: Uncertainty, Multiple Bidding, and Auction Design," Jason Allen, Robert Clark, Brent Hickman and Eric Richert, forthcoming, <em>Review of Economic Studies.</em> DATA AND CODE NEEDED TO REPLICATE ANALYSIS
DOI: 10.6084/m9.figshare.22787362
title: Investigating the novel acetonitrile derivatives as potential SARS-CoV-2 main protease inhibitor using molecular modeling approach

description: The COVID-19 is declared a pandemic by World Health Organization (WHO). It causes respiratory illness which leads to oxygen deficiency; it has affected millions of lives all around the globe. It has also been observed that people with diabetes condition are more likely to have severe symptoms when infected with the SARS-CoV2. So, continued efforts are being taken to design and discover potential anti-covid drugs. Earlier, a study reveals that the acetonitrile (2-phenyl-4H-benzopyrimedo [2,1-b]-thiazol-4-yliden) derivatives have potential anti-diabetic activity. Hence, drugs repurpose approach was used to identify the potential acetonitrile derivative targeting the main protease of SARS-CoV2. Here, ADMET, molecular docking, and molecular dynamics simulation techniques were employed, to identify potential acetonitrile compounds against the main protease. The acetonitrile compounds (A to M) show the drug-likeness properties. Next, the molecular docking and dynamics simulation study reveals that acetonitrile compounds A, F, G, and L show a higher binding affinity and have an effect on the structure and dynamics of the main protease. Furthermore, binding energy calculations reveal that the acetonitrile derivative F has a higher binding affinity with the main protease and derivative L has a lower binding affinity with the main protease. The binding affinity of acetonitrile derivatives decreases in the order of F &gt; A &gt; G &gt; L with the main protease. Thus, our computational modeling study provides valuable structural and energetic information of interaction of potential acetonitrile derivatives with the main protease which could be further used as potential lead molecules against the SARS-CoV2. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.22787362.v1
title: Investigating the novel acetonitrile derivatives as potential SARS-CoV-2 main protease inhibitor using molecular modeling approach

description: The COVID-19 is declared a pandemic by World Health Organization (WHO). It causes respiratory illness which leads to oxygen deficiency; it has affected millions of lives all around the globe. It has also been observed that people with diabetes condition are more likely to have severe symptoms when infected with the SARS-CoV2. So, continued efforts are being taken to design and discover potential anti-covid drugs. Earlier, a study reveals that the acetonitrile (2-phenyl-4H-benzopyrimedo [2,1-b]-thiazol-4-yliden) derivatives have potential anti-diabetic activity. Hence, drugs repurpose approach was used to identify the potential acetonitrile derivative targeting the main protease of SARS-CoV2. Here, ADMET, molecular docking, and molecular dynamics simulation techniques were employed, to identify potential acetonitrile compounds against the main protease. The acetonitrile compounds (A to M) show the drug-likeness properties. Next, the molecular docking and dynamics simulation study reveals that acetonitrile compounds A, F, G, and L show a higher binding affinity and have an effect on the structure and dynamics of the main protease. Furthermore, binding energy calculations reveal that the acetonitrile derivative F has a higher binding affinity with the main protease and derivative L has a lower binding affinity with the main protease. The binding affinity of acetonitrile derivatives decreases in the order of F &gt; A &gt; G &gt; L with the main protease. Thus, our computational modeling study provides valuable structural and energetic information of interaction of potential acetonitrile derivatives with the main protease which could be further used as potential lead molecules against the SARS-CoV2. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.19519174
title: Biophysical and molecular modeling evidences for the binding of sulfa molecules with hemoglobin

description: The molecular mechanism of the heme protein, hemoglobin (Hb) interaction with sulfa molecule, sulfadiazine (SDZ) has been investigated through spectroscopic, neutron scattering and molecular modeling techniques. Absorption and emission spectroscopic studies showed that SDZ molecules were bound to Hb protein, non-cooperatively. The binding affinityof SDZ-Hb complex at standard experimental condition was evaluated to be around (4.2 ± 0.07) ×10<sup>4</sup>, M<sup>−1</sup>with 1:1 stoichiometry. Drug induced structural perturbation of the 3 D protein moiety was confirmed through circular dichroism (CD), synchronous fluorescence and small angle neutron scattering methods. From the temperature dependent spectrofluorometric studies, the negative standard molar Gibbs energy change suggested the spontaneity of the reaction. The negative enthalpy and positive entropy change(s) indicated towards the involvement of both electrostatic and hydrophobic forces during the association process. Salt dependent fluorescence study revealed major contributions from non-poly-electrolytic forces. Molecular modeling studies determined the probable binding sites, types of interaction involved and the conformational alteration of the compactness of the Hb structure upon interaction with SDZ molecule. Overall, the study provides detailed insights into the binding mechanism of SDZ antibiotics to Hb protein. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.19519174.v1
title: Biophysical and molecular modeling evidences for the binding of sulfa molecules with hemoglobin

description: The molecular mechanism of the heme protein, hemoglobin (Hb) interaction with sulfa molecule, sulfadiazine (SDZ) has been investigated through spectroscopic, neutron scattering and molecular modeling techniques. Absorption and emission spectroscopic studies showed that SDZ molecules were bound to Hb protein, non-cooperatively. The binding affinityof SDZ-Hb complex at standard experimental condition was evaluated to be around (4.2 ± 0.07) ×10<sup>4</sup>, M<sup>−1</sup>with 1:1 stoichiometry. Drug induced structural perturbation of the 3 D protein moiety was confirmed through circular dichroism (CD), synchronous fluorescence and small angle neutron scattering methods. From the temperature dependent spectrofluorometric studies, the negative standard molar Gibbs energy change suggested the spontaneity of the reaction. The negative enthalpy and positive entropy change(s) indicated towards the involvement of both electrostatic and hydrophobic forces during the association process. Salt dependent fluorescence study revealed major contributions from non-poly-electrolytic forces. Molecular modeling studies determined the probable binding sites, types of interaction involved and the conformational alteration of the compactness of the Hb structure upon interaction with SDZ molecule. Overall, the study provides detailed insights into the binding mechanism of SDZ antibiotics to Hb protein. Communicated by Ramaswamy H. Sarma
DOI: 10.17608/k6.auckland.22786718
title: Matlab scripts

description: These data accompany the following manuscript: Wilson, L., Constantine, R., Pine, M.K. Farcas, A. Radford, C.A. Impact of small boat sound on the listening space of Pempheris adspersa, Forsterygion lapillum, Alpheus richardsoni and Ovalipes catharus. Sci Rep 13, 7007 (2023). https://doi.org/10.1038/s41598-023-33684-0 <br> Please note that the functions find_closest4_fast.m, linterp.m, linterp2d.m, and extract_rec_value_update.m were provided by Charlotte Findlay and Adrian Farcas. Charlotte Findlay can be contacted at charlotte_findlay@hotmail.co.uk or charlotte.findlay@bio.au.dk. <br> The following required functions are available from the Matlab file exchange: Jonathan Sullivan (2023). Automatic Map Scale Generation (https://www.mathworks.com/matlabcentral/fileexchange/33545-automatic-map-scale-generation), MATLAB Central File Exchange. Retrieved April 28, 2023. Rafael Palacios (2023). deg2utm (https://www.mathworks.com/matlabcentral/fileexchange/10915-deg2utm), MATLAB Central File Exchange. Retrieved April 28, 2023. Rafael Palacios (2023). utm2deg (https://www.mathworks.com/matlabcentral/fileexchange/10914-utm2deg), MATLAB Central File Exchange. Retrieved April 28, 2023. <br> The required function PG_DFT.m accompanies the folllowing manuscript: Merchant, N. D., Fristrup, K. M., Johnson, M. P., Tyack, P. L., Witt, M. J., Blondel, P., & Parks, S. E. (2015). Measuring acoustic habitats. Methods in Ecology and Evolution, 6, 257–265. https://doi.org/10.1111/2041-210X.12330 <br> Audiogram data can be obtained from the cited literature. <br> Please contact me with any questions: lwil634@aucklanduni.ac.nz.
DOI: 10.18430/m37v0i
title: X-ray diffraction data for the crystal structure of a CelR catalytic domain active site mutant with bound cellohexaose substrate (7V0I)
DOI: 10.18430/m37v0j
title: X-ray diffraction data for the crystal structure of a CelR catalytic domain active site mutant with bound cellobiose product (7V0J)
DOI: 10.18430/m38fhj
title: X-ray diffraction data for the crystal structure of a FAD monooxygenease from Methylocystis sp. Strain SB2 (8FHJ)
DOI: 10.5281/zenodo.7908907
title: Data: Modification of ground state chemical reactivity via light-matter coherence in infrared cavities

description: Data to reproduce Figures in paper "Modification of ground state chemical reactivity via light-matter coherence in infrared cavities" published in DOI:0000/0000000
DOI: 10.5281/zenodo.7908908
title: Data: Modification of ground state chemical reactivity via light-matter coherence in infrared cavities

description: Data to reproduce Figures in paper "Modification of ground state chemical reactivity via light-matter coherence in infrared cavities" published in DOI:0000/0000000