cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.35077/age-get
title: Vib_1_Fly_1: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)

description: Confocal z-stacks (.tiff stacks) of single labeled mechanosensory neurons that innervate specific bristles on the Drosophila melanogaster head. The bristle mechanosensory neurons (BMNs) were labeled by dye filling from specific head bristles using the dye DiD. The processed images of the BMNs are published in Figure 4 and Figure 4 – figure supplements 1-5 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the specific bristle filled (e.g. Oc or Ant_1 bristles) and the individual fly that was tested (e.g. Fly_1 and Fly_2).
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'Vib_1_Fly_1: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)', GeneralModality:'other', Technique:'other', Other:'Bristle dye fill' SPECIMEN METADATA: LocalID:'Vib_1_Fly_1', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w, C155-GAL4, UAS-nSyb.e GFP', OrganName:'Brain', SampleLocalID:'20190531_VH_major_1_left_brain_1_DID_nsyb_GFP', Locations:'Subesophageal zone (SEZ)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8)', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'
DOI: 10.35077/age-gin
title: Vib_1_Fly_2: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)

description: Confocal z-stacks (.tiff stacks) of single labeled mechanosensory neurons that innervate specific bristles on the Drosophila melanogaster head. The bristle mechanosensory neurons (BMNs) were labeled by dye filling from specific head bristles using the dye DiD. The processed images of the BMNs are published in Figure 4 and Figure 4 – figure supplements 1-5 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the specific bristle filled (e.g. Oc or Ant_1 bristles) and the individual fly that was tested (e.g. Fly_1 and Fly_2).
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'Vib_1_Fly_2: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)', GeneralModality:'other', Technique:'other', Other:'Bristle dye fill' SPECIMEN METADATA: LocalID:'Vib_1_Fly_2', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w, C155-GAL4, UAS-nSyb.e GFP', OrganName:'Brain', SampleLocalID:'20190329_VH_major_1_left__brain_2_DID_48h_fix', Locations:'Subesophageal zone (SEZ)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8)', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'
DOI: 10.35077/age-got
title: Vib_1_Fly_3: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)

description: Confocal z-stacks (.tiff stacks) of single labeled mechanosensory neurons that innervate specific bristles on the Drosophila melanogaster head. The bristle mechanosensory neurons (BMNs) were labeled by dye filling from specific head bristles using the dye DiD. The processed images of the BMNs are published in Figure 4 and Figure 4 – figure supplements 1-5 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the specific bristle filled (e.g. Oc or Ant_1 bristles) and the individual fly that was tested (e.g. Fly_1 and Fly_2).
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'Vib_1_Fly_3: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)', GeneralModality:'other', Technique:'other', Other:'Bristle dye fill' SPECIMEN METADATA: LocalID:'Vib_1_Fly_3', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w, C155-GAL4, UAS-nSyb.e GFP', OrganName:'Brain', SampleLocalID:'20190329_VH_major_1_left__brain_3_DID_48h_fix', Locations:'Subesophageal zone (SEZ)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8)', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'
DOI: 10.35077/age-gum
title: Vib_2_Fly_1: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)

description: Confocal z-stacks (.tiff stacks) of single labeled mechanosensory neurons that innervate specific bristles on the Drosophila melanogaster head. The bristle mechanosensory neurons (BMNs) were labeled by dye filling from specific head bristles using the dye DiD. The processed images of the BMNs are published in Figure 4 and Figure 4 – figure supplements 1-5 of the manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”. The confocal stacks used to produce these images are organized based on the specific bristle filled (e.g. Oc or Ant_1 bristles) and the individual fly that was tested (e.g. Fly_1 and Fly_2).
description: A full protocol describing this work is available in the associated manuscript at manuscript “Somatotopic organization among parallel sensory pathways that promote a grooming sequence in Drosophila (https://doi.org/10.1101/2023.02.11.528119)”.
description: DATASET METADATA: title:'Vib_2_Fly_1: Whole brain confocal imaging of fly driver line C155-GAL4, UAS-nSyb.eGFP (red channel) with the indicated bristle dye filled using DiD (green channel)', GeneralModality:'other', Technique:'other', Other:'Bristle dye fill' SPECIMEN METADATA: LocalID:'Vib_2_Fly_1', Species:'Fruit fly', NCBITaxonomy:'NCBI:txid7227', Age:'5 to 8', Ageunit:'Days', Sex:'Male', Genotype:'w, C155-GAL4, UAS-nSyb.e GFP', OrganName:'Brain', SampleLocalID:'20190411_VH_major_2_left_brain3_DID', Locations:'Subesophageal zone (SEZ)' INSTRUMENT METADATA: MicroscopeType:'Confocal', MicroscopeManufacturerAndModel:'Zeiss LSM 800 Axio Imager.Z2', ObjectiveName:'Zeiss 20x objective (Plan-Apochromat 20x/0.8)', ObjectiveNA:'0.8', ObjectiveMagnification:'20x' IMAGE METADATA: xAxis:'left-to-right', yAxis:'left-to-right', zAxis:'left-to-right', Number:'1,2,red,green', displayColor:'(1.0, 0.0, 0.0),(0.0, 1.0, 0.0)', stepSizeX:'0.6239', stepSizeY:'0.6239'
DOI: 10.3886/e100486v1
title: American Community Survey 2010-2014 ACS 5-Year PUMS File

description: The Public Use Microdata Sample (PUMS) contains a sample of actual responses to the American Community Survey (ACS). The PUMS dataset includes variables for nearly every question on the survey, as well as many new variables that were derived after the fact from multiple survey responses (such as poverty status). Each record in the file represents a single person, or--in the household-level dataset--a single housing unit. In the person-level file, individuals are organized into households, making possible the study of people within the contexts of their families and other household members. PUMS files for an individual year, such as 2014, contain records of data from approximately one percent of the United States population. As such, PUMS files covering a five-year period, such as 2010-2014, contain records of data from approximately five percent of the United States population.<br><br>The PUMS files are much more flexible than the aggregate data available on American FactFinder, though the PUMS also tend to be more complicated to use. Working with PUMS data generally involves downloading large datasets onto a local computer and analyzing the data using statistical software such as R, SPSS, Stata, or SAS.<br><br>Since all ACS responses are strictly confidential, many variables in the PUMS file have been modified in order to protect the confidentiality of survey respondents. For instance, particularly high incomes are "top-coded," uncommon birthplace or ancestry responses are grouped into broader categories, and the PUMS file provides a very limited set of geographic variables
description: For additional years of ACS data, please see
ICPSR's American Community Survey (ACS) Series, which is available at www.icpsr.umich.edu/icpsrweb/ICPSR/series/205 or the Census Bureau's ACS PUMS page at https://www.census.gov/programs-surveys/acs/technical-documentation/pums/about.html.
description: All persons and housing units in the United States.
DOI: 10.5281/zenodo.556121
title: Synthetic population housing and person records for the United States

description: The synthetic population was generated from the 2010-2014 ACS PUMS housing and person files. United States Department of Commerce. Bureau of the Census. (2017-03-06).<br> American Community Survey 2010-2014 ACS 5-Year PUMS File [Data set].<br> Ann Arbor, MI: Inter-university Consortium of Political and Social<br> Research [distributor]. http://doi.org/10.3886/E100486V1 <strong>Outputs</strong> There are 17 housing files<br> - repHus0.csv, repHus1.csv, ... repHus16.csv<br> and 32 person files<br> - rep_recode_ACSpus0.csv, rep_recode_ACSpus1.csv, ... rep_recode_ACSpus31.csv. Files are split to be roughly equal in size. The files contain data for the entire country. Files are not split along any demographic characteristic. The person files and housing files must be concatenated to form a complete person file and a complete housing file, respectively. If desired, person and housing records should be merged on 'id'. Variable description is below. <strong>Data Dictionary</strong><br> See [2010-2014 ACS PUMS data dictionary](http://doi.org/10.3886/E100486V1). All variables from the ACS PUMS housing files are present in the synthetic housing files and all variables from the ACS PUMS person files are present in the synthetic person files. Variables have not been modified in any way. Theoretically, variables like `person weight` no longer have any use in the synthetic population. See README.md for more details.
description: This work is supported under Grant G-2015-13903 from the Alfred P. Sloan Foundation on "The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies" (PI: John M. Abowd, https://www.ilr.cornell.edu/labor-dynamics-institute/research/project-19)
DOI: 10.5281/zenodo.796824
title: Synthetic population housing and person records for the United States

description: The synthetic population was generated from the 2010-2014 ACS PUMS housing and person files. United States Department of Commerce. Bureau of the Census. (2017-03-06).<br> American Community Survey 2010-2014 ACS 5-Year PUMS File [Data set].<br> Ann Arbor, MI: Inter-university Consortium of Political and Social<br> Research [distributor]. http://doi.org/10.3886/E100486V1 <strong>Outputs</strong> There are 17 housing files<br> - repHus0.csv, repHus1.csv, ... repHus16.csv<br> and 32 person files<br> - rep_recode_ACSpus0.csv, rep_recode_ACSpus1.csv, ... rep_recode_ACSpus31.csv. Files are split to be roughly equal in size. The files contain data for the entire country. Files are not split along any demographic characteristic. The person files and housing files must be concatenated to form a complete person file and a complete housing file, respectively. If desired, person and housing records should be merged on 'id'. Variable description is below. <strong>Data Dictionary</strong><br> See [2010-2014 ACS PUMS data dictionary](http://doi.org/10.3886/E100486V1). All variables from the ACS PUMS housing files are present in the synthetic housing files and all variables from the ACS PUMS person files are present in the synthetic person files. Variables have not been modified in any way. Theoretically, variables like `person weight` no longer have any use in the synthetic population. See README.md for more details.
description: This work is supported under Grant G-2015-13903 from the Alfred P. Sloan Foundation on "The Economics of Socially-Efficient Privacy and Confidentiality Management for Statistical Agencies" (PI: John M. Abowd, https://www.ilr.cornell.edu/labor-dynamics-institute/research/project-19)
DOI: 10.25345/c5dv1cz86
title: MassIVE MSV000092720 - Non-targeted 2D LC-MS/MS analysis of NEHLA Dissolved Organic Matter
title: Non-targeted 2D LC-MS/MS analysis (pos/neg ESI) of PPL solid phase extracted Dissolved Organic Matter from the NEHLA pipeline.
DOI: 10.5281/zenodo.8273311
title: BioGraph Quality Score and Genotype Classifer Models

description: BioGraph Quality Score and Genotype Classifer Models v7.1.0 for use with BioGraph software available at https://github.com/spiralgenetics/biograph
DOI: 10.5281/zenodo.8273310
title: BioGraph Quality Score and Genotype Classifer Models

description: BioGraph Quality Score and Genotype Classifer Models v7.1.0 for use with BioGraph software available at https://github.com/spiralgenetics/biograph
DOI: 10.17909/6w5y-hh50
title: Data from "Standardized Luminosity of the Tip of the Red Giant Branch utilizing Multiple Fields in NGC 4258 and the CATs Algorithm"

description: Observations corresponding to the NGC 4258 fields analyzed in "Standardized Luminosity of the Tip of the Red Giant Branch utilizing Multiple Fields in NGC 4258 and the CATs Algorithm" by Li et al.
DOI: 10.5517/ccdc.csd.cc22clfh
title: CCDC 1917766: Experimental Crystal Structure Determination

description: Related Article: Peng Huang, Min Huang, Hai Hu, Yuan Zhong, Chao Lai, Shulei Chou|2019|J.Mater.Chem.A|7|26513|doi:10.1039/C9TA10633B
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.cc20t444
title: CCDC 1871195: Experimental Crystal Structure Determination

description: Related Article: Javier Castells-Gil, Natalia M. Padial, Neyvis Almora-Barrios, Ivan da Silva, Diego Mateo, Josep Albero, Hermenegildo García, Carlos Martí-Gastaldo|2019|Chemical Science|10|4313|doi:10.1039/C8SC05218B
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.cc23yzpr
title: CCDC 1965235: Experimental Crystal Structure Determination

description: Related Article: Natalia M. Padial,  Belén Lerma-Berlanga,  Neyvis Almora-Barrios,  Javier Castells-Gil,  Iván da Silva,  Marı́a de la Mata,  Sergio I. Molina,  Jesús Hernández-Saz,  Ana E. Platero-Prats,  Sergio Tatay,  Carlos Martı́-Gastaldo|2019|J.Am.Chem.Soc.|142|6638|doi:10.1021/jacs.0c00117
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.cc25v0pr
title: CCDC 2021004: Experimental Crystal Structure Determination

description: Related Article: Jun Jiang, Lulu Liu, Guoping Liu, Dan Wang, Yan Zhang, Lijuan Chen, Junwei Zhao|2020|Inorg.Chem.|59|15355|doi:10.1021/acs.inorgchem.0c02318
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: 10.6084/m9.figshare.24008616
title: 20230823_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24008616.v1
title: 20230823_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.3886/e181661v1-138925
title: Data and Code for "An Alternative Explanation for the 'Fed Information Effect'"

description: High-frequency changes in interest rates around FOMC announcements are a standard method of measuring monetary policy shocks. However, some recent studies have documented puzzling effects of these shocks on private-sector forecasts of GDP, unemployment, or inflation that are opposite in sign to what standard macroeconomic models would predict. This evidence has been viewed as supportive of a "Fed information effect" channel of monetary policy, whereby an FOMC tightening (easing) communicates that the economy is stronger (weaker) than the public had expected. We show that these empirical results are also consistent with a "Fed response to news" channel, in which incoming, publicly available economic news causes both the Fed to change monetary policy and the private sector to revise its forecasts. We provide substantial new evidence that distinguishes between these two channels and strongly favors the latter; for example, (i) regressions that include the previously omitted public economic news, (ii) a new survey that we conduct of Blue Chip forecasters, and (iii) high-frequency financial market responses to FOMC announcements all suggest that the Fed and private sector are simply responding to the same public news, with relatively little role for a "Fed information effect".
DOI: 10.3886/e181661
title: Data and Code for "An Alternative Explanation for the 'Fed Information Effect'"

description: High-frequency changes in interest rates around FOMC announcements are a standard method of measuring monetary policy shocks. However, some recent studies have documented puzzling effects of these shocks on private-sector forecasts of GDP, unemployment, or inflation that are opposite in sign to what standard macroeconomic models would predict. This evidence has been viewed as supportive of a "Fed information effect" channel of monetary policy, whereby an FOMC tightening (easing) communicates that the economy is stronger (weaker) than the public had expected. We show that these empirical results are also consistent with a "Fed response to news" channel, in which incoming, publicly available economic news causes both the Fed to change monetary policy and the private sector to revise its forecasts. We provide substantial new evidence that distinguishes between these two channels and strongly favors the latter; for example, (i) regressions that include the previously omitted public economic news, (ii) a new survey that we conduct of Blue Chip forecasters, and (iii) high-frequency financial market responses to FOMC announcements all suggest that the Fed and private sector are simply responding to the same public news, with relatively little role for a "Fed information effect".
DOI: 10.3886/e181661v1
title: Data and Code for "An Alternative Explanation for the 'Fed Information Effect'"

description: High-frequency changes in interest rates around FOMC announcements are a standard method of measuring monetary policy shocks. However, some recent studies have documented puzzling effects of these shocks on private-sector forecasts of GDP, unemployment, or inflation that are opposite in sign to what standard macroeconomic models would predict. This evidence has been viewed as supportive of a "Fed information effect" channel of monetary policy, whereby an FOMC tightening (easing) communicates that the economy is stronger (weaker) than the public had expected. We show that these empirical results are also consistent with a "Fed response to news" channel, in which incoming, publicly available economic news causes both the Fed to change monetary policy and the private sector to revise its forecasts. We provide substantial new evidence that distinguishes between these two channels and strongly favors the latter; for example, (i) regressions that include the previously omitted public economic news, (ii) a new survey that we conduct of Blue Chip forecasters, and (iii) high-frequency financial market responses to FOMC announcements all suggest that the Fed and private sector are simply responding to the same public news, with relatively little role for a "Fed information effect".
DOI: 10.3886/e181661v2
title: Data and Code for "An Alternative Explanation for the 'Fed Information Effect'"

description: High-frequency changes in interest rates around FOMC announcements are a standard method of measuring monetary policy shocks. However, some recent studies have documented puzzling effects of these shocks on private-sector forecasts of GDP, unemployment, or inflation that are opposite in sign to what standard macroeconomic models would predict. This evidence has been viewed as supportive of a "Fed information effect" channel of monetary policy, whereby an FOMC tightening (easing) communicates that the economy is stronger (weaker) than the public had expected. We show that these empirical results are also consistent with a "Fed response to news" channel, in which incoming, publicly available economic news causes both the Fed to change monetary policy and the private sector to revise its forecasts. We provide substantial new evidence that distinguishes between these two channels and strongly favors the latter; for example, (i) regressions that include the previously omitted public economic news, (ii) a new survey that we conduct of Blue Chip forecasters, and (iii) high-frequency financial market responses to FOMC announcements all suggest that the Fed and private sector are simply responding to the same public news, with relatively little role for a "Fed information effect".