cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17876/plate/dr.3/plates/104_26784
title: Digital object identifier (DOI) for the plate 26784 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26785
title: Digital object identifier (DOI) for the plate 26785 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26786
title: Digital object identifier (DOI) for the plate 26786 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26787
title: Digital object identifier (DOI) for the plate 26787 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26788
title: Digital object identifier (DOI) for the plate 26788 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26789
title: Digital object identifier (DOI) for the plate 26789 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26790
title: Digital object identifier (DOI) for the plate 26790 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26791
title: Digital object identifier (DOI) for the plate 26791 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26792
title: Digital object identifier (DOI) for the plate 26792 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26793
title: Digital object identifier (DOI) for the plate 26793 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26794
title: Digital object identifier (DOI) for the plate 26794 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26795
title: Digital object identifier (DOI) for the plate 26795 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26796
title: Digital object identifier (DOI) for the plate 26796 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26797
title: Digital object identifier (DOI) for the plate 26797 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26798
title: Digital object identifier (DOI) for the plate 26798 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26799
title: Digital object identifier (DOI) for the plate 26799 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26800
title: Digital object identifier (DOI) for the plate 26800 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26801
title: Digital object identifier (DOI) for the plate 26801 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26802
title: Digital object identifier (DOI) for the plate 26802 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26803
title: Digital object identifier (DOI) for the plate 26803 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26804
title: Digital object identifier (DOI) for the plate 26804 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26805
title: Digital object identifier (DOI) for the plate 26805 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26806
title: Digital object identifier (DOI) for the plate 26806 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26807
title: Digital object identifier (DOI) for the plate 26807 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26808
title: Digital object identifier (DOI) for the plate 26808 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26809
title: Digital object identifier (DOI) for the plate 26809 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26810
title: Digital object identifier (DOI) for the plate 26810 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26811
title: Digital object identifier (DOI) for the plate 26811 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26812
title: Digital object identifier (DOI) for the plate 26812 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26813
title: Digital object identifier (DOI) for the plate 26813 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26814
title: Digital object identifier (DOI) for the plate 26814 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26815
title: Digital object identifier (DOI) for the plate 26815 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26816
title: Digital object identifier (DOI) for the plate 26816 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26817
title: Digital object identifier (DOI) for the plate 26817 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26818
title: Digital object identifier (DOI) for the plate 26818 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26819
title: Digital object identifier (DOI) for the plate 26819 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26820
title: Digital object identifier (DOI) for the plate 26820 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26821
title: Digital object identifier (DOI) for the plate 26821 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26822
title: Digital object identifier (DOI) for the plate 26822 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26823
title: Digital object identifier (DOI) for the plate 26823 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26824
title: Digital object identifier (DOI) for the plate 26824 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26825
title: Digital object identifier (DOI) for the plate 26825 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26826
title: Digital object identifier (DOI) for the plate 26826 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26827
title: Digital object identifier (DOI) for the plate 26827 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26828
title: Digital object identifier (DOI) for the plate 26828 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26829
title: Digital object identifier (DOI) for the plate 26829 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26830
title: Digital object identifier (DOI) for the plate 26830 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26831
title: Digital object identifier (DOI) for the plate 26831 in archive 104 from the APPLAUSE DR3
DOI: 10.17876/plate/dr.3/plates/104_26832
title: Digital object identifier (DOI) for the plate 26832 in archive 104 from the APPLAUSE DR3
DOI: 10.5281/zenodo.3378921
title: YSI Data from Chalgrove Lake; 2019-05-30 to 2019-06-12

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br>
DOI: 10.5281/zenodo.3378922
title: YSI Data from Chalgrove Lake; 2019-05-30 to 2019-06-12

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br>
DOI: 10.25739/w560-2114
title: GenomesToFields 2017 Dataset

description: Data types in this directory tree are: hybrid agronomic and performance traits; inbred genotypic data; soil data and environmental data collected from the Genomes To Fields (G2F) project sites in the 2017 season. G2F has developed a living infrastructure of researchers across disciplines and a network of field phenotyping sites. During the 2017 growing season, G2F conducted experiments in over 15,000 plots across 32 unique locations with 26 Principal Investigators. The overall goal is leveraging these datasets to improve phenomic predictability and facilitate the development and deployment of tools and resources that help address fundamental problems of sustainable agricultural productivity.
DOI: 10.3886/e111586
title: Intergenerational Education Mobility Trends by Race and Gender in the United States

description: Researchers have examined racial and gender patterns of intergenerational education mobility, but less attention has been given to the ways that race and gender interact to further shape these relationships. Based on data from the General Social Survey, this study examined the trajectories of education mobility among Blacks and Whites by gender over the past century. Ordinary least squares and logistic regression models revealed three noteworthy patterns. First, Black men and women have closed substantial gaps with their White counterparts in intergenerational education mobility. At relatively low levels of parental education, these gains have been experienced equally among Black men and women. However, Black men are most disadvantaged at the highest levels of parental education relative to Black women and Whites in general. Finally, the advantages in education mobility experienced by White men in the early and midpart of the 20th century have largely eroded. White women, in contrast, have made steady gains in education mobility across a variety of parental education levels.
description: see General Social Survey website: https://gss.norc.org
description: Non-institutionalized U.S. adults
DOI: 10.3886/e111586v1
title: Intergenerational Education Mobility Trends by Race and Gender in the United States

description: Researchers have examined racial and gender patterns of intergenerational education mobility, but less attention has been given to the ways that race and gender interact to further shape these relationships. Based on data from the General Social Survey, this study examined the trajectories of education mobility among Blacks and Whites by gender over the past century. Ordinary least squares and logistic regression models revealed three noteworthy patterns. First, Black men and women have closed substantial gaps with their White counterparts in intergenerational education mobility. At relatively low levels of parental education, these gains have been experienced equally among Black men and women. However, Black men are most disadvantaged at the highest levels of parental education relative to Black women and Whites in general. Finally, the advantages in education mobility experienced by White men in the early and midpart of the 20th century have largely eroded. White women, in contrast, have made steady gains in education mobility across a variety of parental education levels.
description: see General Social Survey website: https://gss.norc.org
description: Non-institutionalized U.S. adults
DOI: 10.5066/p9fhn3rk
title: Chemical and Physical Controls on Mercury Source Signatures in Stream Fish from the Northeastern United States

description: The Northeast Stream Quality Assessment (NESQA) performed mercury (Hg) isotope analysis of prey fish, game fish, and sediments from 29 sites across an urban to forested land-use gradient. The data presented here includes the chemical analysis of Hg concentrations and isotopes, capture information for fish species, land use, and stream water quality variables. Using these parameters it was determined that the preservation of Hg isotope signatures, which are indicative of source (e.g. atmospheric deposition, industrial point discharge), were dependent on land use, proximity to point sources, and variables related urbanization (e.g. road density and impervious surface cover). Additional Information regarding the interpretation of this data set can be found in the corresponding journal article in Environmental Science and Technology (http://doi.org/10.1021/acs.est.9b03394).
DOI: 10.7910/dvn/9ia7cs/a944tl
title: trough length.tab

description: excel sheet for trough length mesurment
DOI: 10.5281/zenodo.3378929
title: What is learned in approach-avoidance tasks? On the scope and generalizability of approach-avoidance effects

description: Previous research has shown that approaching a stimulus makes it more positive, while avoiding a stimulus makes it more negative. The present research demonstrates that approach-avoidance behaviors have the potential to charge stimulus attributes such as color with evaluative meaning. This evaluation carries over to other stimuli with that feature. We address the latter point by assessing the influence of colors that were approached or avoided on the perceived attractiveness of persons wearing those colors. We show that wearing a certain color makes people appear more attractive when this color is associated with approach rather than avoidance. In line with a self-perception account of these effects, we obtained approach-avoidance effects on stimulus attributes only when participants carried out approach-avoidance behaviors towards these colors or imagined doing so. This set of experiments adds to the evaluative learning literature by demonstrating approach-avoidance effects on stimulus attributes and that these effects carry over to new classes of stimuli and new tasks. Moreover, we systematically investigated boundary conditions for these effects. Finally, with this research we introduce an ontogenetic perspective to research into colors and their influence on psychological functioning.
description: This work was supported by a Heisenberg grant from the German Research Foundation awarded to Mandy Hütter (HU 1978/7-1).
DOI: 10.5281/zenodo.3378934
title: YSI Data from Chalgrove Lake; 2019-06-12 to 2019-07-01

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br> <br>
DOI: 10.5281/zenodo.3378935
title: YSI Data from Chalgrove Lake; 2019-06-12 to 2019-07-01

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br> <br>
DOI: 10.7910/dvn/9ia7cs/lvmok1
title: taste buds number.tab

description: excel sheet for taste buds number counting
DOI: 10.25739/9wjm-eq41
title: GenomesToFields 2014 Dataset

description: Data types in this directory tree are: updated hybrid and inbred agronomic and performance traits; inbred genotypic data; soil data and environmental data collected from the Genomes To Fields (G2F) project sites in the 2014 season. G2F has developed a living infrastructure of researchers across disciplines and a network of field phenotyping sites. During the 2014 growing seasons, G2F conducted experiments in over 12,000 plots across 42 unique locations with 22 Principal Investigators. The overall goal is leveraging these datasets to improve phenomic predictability and facilitate the development and deployment of tools and resources that help address fundamental problems of sustainable agricultural productivity.
DOI: 10.5281/zenodo.3378936
title: YSI Data from Chalgrove Lake; 2019-07-01 to 2019-07-26

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br> <br>
DOI: 10.5281/zenodo.3378937
title: YSI Data from Chalgrove Lake; 2019-07-01 to 2019-07-26

description: # General Metadata for Chalgrove Lake YSI Data ## Files Specific metadata for each deployment can be found as text files with the file format of: chalgrove_lake_DDMonthYYYY_metadata.txt<br> <br> Where DDMonthYYY is the date that the deployment ended. ## File Created * 2019-04-12 by KF<br> <br> ## File Modified ## Description These data are from a YSI EXO2 multiparameter sonde deployed at approximatly 0.7 m in Chalgrove Lake (37.242983 N, -78.464116 W) in approximately 4 m of water. ## Sonde Specifics The specific sensors and SNs deployed are on the metadata specific to each deployment but generally the sonde has:<br> <br> * Temperature<br> * Conductivity<br> * pH<br> * ODO<br> * Total Algae<br> <br> ## Measurement Parameters, units, and Variable Names * date.time = the combined date and time of the measurement (YYYY-MM-DD HH:MM:SS)<br> * date = the sampling date reported by the YSI (M/D/YYYY)<br> * time = the sampling time reported by the YSI (HH:MM:SS)<br> * fract_sec = the smapling fractions of a second reported by the YSI<br> * site_name = the site name on the YSI deployment (left blank)<br> * cond = the conductivity (uS/cm)<br> * nLF_cond = the nLF conductivity (uS/cm)<br> * perc_ODO = the percent oxygen saturation<br> * perc_local_ODO = the percent local oxygen saturation<br> * ODO_conc = the dissolved oxygen concentration (mg/L)<br> * sal = the salinity (psu)<br> * sp_cond = the specific conductivity (uS/cm)<br> * TDS = the total dissolved solids (mg/L)<br> * pH = the pH<br> * pH mV = the millivolts of the pH sensor<br> * temp = the temperature (dC)<br> * battery = the battery voltage<br> * cable_pwr = the cable power<br> <br>