cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/1178080
title: Eastern Potato Variety Development Database, (NE1231)

description: This is an interactive potato variety database that allows researchers and end-users to access and obtain potato variety trial results in one centralized site. It was developed primarily for scientists interested in potato variety development, growers, and allied industry members. The database is populated with the results of potato variety trials conducted in eight states (Florida, Maine, New Jersey, New York, North Carolina, Ohio, Pennsylvania, and Virginia) and two Canadian provinces (Prince Edward Island and Quebec). 
New potato varieties are needed in the East to serve a wide range of markets including fresh market, chipping, French fry processing, and seed industries. However, developing new high quality, pest resistant potato varieties adapted to broad geographic regions or specifically suited for new niche markets is no small task. In today's economic climate these efforts increasingly require a multi-disciplinary, regionalized approach to meet tomorrow's demands. 

The Eastern Potato Variety Development team is composed of breeders, molecular biologists, cultural management specialists, plant pathologists, entomologists and extension specialists from over 8 states and 2 Canadian provinces. The overall goal is to develop an array of attractive, high yielding, disease- and insect- resistant, table-stock, processing and/or specialty-type potato varieties that can be employed by potato producers in the eastern United States.

The database currently contains over 35 data features and was developed primarily for scientists interested in potato variety development, growers, and allied industry members. Data points that can be selected include: Released varieties, Tuber Color, End Use. Vine Maturity, Specific Gravity, Appearance Score, Year Evaluated, many Primary Harvest Data categories (yield by hundredweight, shape, texture, color), Defects categories, Plant Maturity,  Number of Replications, Days to Harvest, Total Rainfall, Parents, Degree Days, and Expected Use.

This is a project sponsored byN U.S. Department of Agriculture, Cooperative State Research, Education, and Extension Service (USDA-CSREES)
DOI: 10.5255/ukda-sn-851837
title: Hungarian and Romanian Migrant Workers in the UK: Racism without Racial Difference?
DOI: 10.5255/ukda-sn-851824
title: Women in the Russian Penal System: the role of distance in the theory and practice of imprisonment in Russia
DOI: 10.5255/ukda-sn-851830
title: The Oxford Aesop Corpus 2010
DOI: 10.5255/ukda-sn-851831
title: Developing Skills for Government: Political Mentoring
DOI: 10.5255/ukda-sn-851832
title: Gender and the Conservative Party
DOI: 10.5255/ukda-sn-851825
title: Religious nurture in Muslim families
DOI: 10.5255/ukda-sn-851826
title: Negotiating Managed Consumption: Young People, Branding and Social Identification Processes
DOI: 10.6073/pasta/b9466bae6875d16982b19649167dca5a
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1986-06-14
DOI: 10.6073/pasta/622502a127660f96a96697a8da1439e2
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1986-06-30
DOI: 10.3886/e32030v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.6073/pasta/8f79c3aeef6e6fbbf1705cd65907e769
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1986-09-18
DOI: 10.6073/pasta/bda974bd88f1120b0b54a6bbf3611f60
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1986-08-01
DOI: 10.3886/e31727v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.3886/e31731v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.3886/e31975v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.3886/e32003v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.3886/e32039v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.3886/e32048v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.3886/e32057v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.6073/pasta/b16261c37bbd798f10b542beda5ff5ea
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1986-10-20
DOI: 10.6073/pasta/c26cb7e91cb4d9009fcaca1c913ad1fb
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1986-12-07
DOI: 10.3886/e32012v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.3886/e32021v1
title: Mortality: 1960-1966 [United States]

description: This data collection describes every death or fetal death registered per year in the United States from 1960-1966. Information includes the month of death for all years and the day of death for deaths from 1962-1966, the sex of the deceased, the age of the deceased at the time of death, the deceased's place of residence, place of death, and cause of death.
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DOI: 10.6073/pasta/e709bd1d79dc86c24fabf35469cdf1d4
title: Land Owner Decisions and Consequences in North Central Massachusetts 1950-2009
DOI: 10.6073/pasta/7f2842f609540a5ffc2999e2c4ad1021
title: Plant cover in precipitation and nitrogen treatment plots (by species)
DOI: 10.6073/pasta/a7eea66c88144be6732782a456dda3e3
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1992-06-05
DOI: 10.5255/ukda-sn-6809-3
title: Annual Population Survey, January - December, 2010
DOI: 10.6073/pasta/0b499ff4580a2a25a84cd089815c9bc4
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1987-11-06
DOI: 10.6073/pasta/3f1346dc0fdab9ac649e9881094d88f1
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1992-07-23
DOI: 10.6073/pasta/7e75169721c044747e0187c88c28fe9b
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1988-07-19
DOI: 10.5061/dryad.8s459/1
title: HA412_trinity_noAltSplice_400bpmin.fa

description: Link to reference transcriptome described in Renaut et al. 2013 (NatCom), used for all alignments, and previously deposited in Dryad as part of http://dx.doi.org/10.5061/dryad.9q1n4.
DOI: 10.6073/pasta/1f471ca5989ab6f4034cc4ec5abf6df3
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1989-08-07
DOI: 10.6073/pasta/6a06fdbfa3fb602110c48778c3b919e4
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1989-10-10
DOI: 10.6073/pasta/8ba6bc3774d5a3c9a361113454bdc7a0
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-07-15
DOI: 10.6073/pasta/90d5d43f8022c910391350fb8f8e3cef
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-06-29
DOI: 10.6073/pasta/913e0ea99e22a232ef273f0e22a056af
title: Plant cover in precipitation and nitrogen treatment plots (by species)
DOI: 10.6073/pasta/d42b54b0b95970bc69c0635f9f4f7bb0
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-05-12
DOI: 10.6073/pasta/f8296c69989ef1e989272eeb3338d613
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1992-08-31
DOI: 10.6073/pasta/3b3d94019ab7d36907677092bcc02077
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-10-03
DOI: 10.6073/pasta/477b6915b70404102570dc396c1aca29
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-09-01
DOI: 10.6073/pasta/4b2055faf5e52ef4a8cb8a5634e62be1
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1989-07-29
DOI: 10.6073/pasta/622f921fce19c873b8024baf7414368f
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1987-11-13
DOI: 10.6073/pasta/76093dfab179a9e377ba3810e0fc4689
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-08-16
DOI: 10.6073/pasta/bfd845a863bf4167ff9ce4c7a8b858f5
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1988-05-23
DOI: 10.6073/pasta/ce7c7b3a901a941ace2d346a37dc9c90
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-10-19
DOI: 10.6073/pasta/ffd156fd9f46d0a983ff7f975f7b41e0
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1986-12-23
DOI: 10.6073/pasta/d14ecec12421813ca6df3d9169cb60f2
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1992-08-06
DOI: 10.6073/pasta/cd22bc625d134c001f947f2ded80613c
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-11-04
DOI: 10.3886/e32182v1
title: Precision and Disclosure in Text and Voice Interviews on Smartphones: 2012 [United States]

description: As people increasingly communicate via asynchronous non-spoken modes on mobile devices, particularly text messaging (e.g., SMS), longstanding assumptions and practices of social measurement via telephone survey interviewing are being challenged. This dataset contains 1,282 cases, 634 cases that completed an interview and 648 cases that were invited to participate, but did not start or complete an interview on their iPhone. Participants were randomly assigned to answer 32 questions from US social surveys via text messaging or speech, administered either by a human interviewer or by an automated interviewing system. 10 interviewers from the University of Michigan Survey Research Center administered voice and text interviews; automated systems launched parallel text and voice interviews at the same time as the human interviews were launched. The key question was how the interview mode affected the quality of the response data, in particular the precision of numerical answers (how many were not rounded), variation in answers to multiple questions with the same response scale (differentiation), and disclosure of socially undesirable information. Texting led to higher quality data—fewer rounded numerical answers, more differentiated answers to a battery of questions, and more disclosure of sensitive information—than voice interviews, both with human and automated interviewers. Text respondents also reported a strong preference for future interviews by text. The findings suggest that people interviewed on mobile devices at a time and place that is convenient for them, even when they are multitasking, can give more trustworthy and accurate answers than those in more traditional spoken interviews. The findings also suggest that answers from text interviews, when aggregated across a sample, can tell a different story about a population than answers from voice interviews, potentially altering the policy implications from a survey.
DOI: 10.6073/pasta/133d0baebd87fcfb1f5392fdaea0dfa6
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-11-20
DOI: 10.6073/pasta/5b383275d209954162fb85fc37596268
title: Biomarker assessment of spatial and temporal changes in the composition of flocculent material (floc) in the subtropical wetland of the Florida Coastal Everglades (FCE) from May 2007 to December 2009
DOI: 10.6073/pasta/ad71a666c0375d0dc73ccafe992732c2
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2009-12-06
DOI: 10.6073/pasta/f0f3b23b53fc2be58bd8c10f9cad8d11
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1985-11-17
DOI: 10.3886/e31912v1
title: Precision and Disclosure in Text and Voice Interviews on Smartphones: 2012 [United States]

description: As people increasingly communicate via asynchronous non-spoken modes on mobile devices, particularly text messaging (e.g., SMS), longstanding assumptions and practices of social measurement via telephone survey interviewing are being challenged. This dataset contains 1,282 cases, 634 cases that completed an interview and 648 cases that were invited to participate, but did not start or complete an interview on their iPhone. Participants were randomly assigned to answer 32 questions from US social surveys via text messaging or speech, administered either by a human interviewer or by an automated interviewing system. 10 interviewers from the University of Michigan Survey Research Center administered voice and text interviews; automated systems launched parallel text and voice interviews at the same time as the human interviews were launched. The key question was how the interview mode affected the quality of the response data, in particular the precision of numerical answers (how many were not rounded), variation in answers to multiple questions with the same response scale (differentiation), and disclosure of socially undesirable information. Texting led to higher quality data—fewer rounded numerical answers, more differentiated answers to a battery of questions, and more disclosure of sensitive information—than voice interviews, both with human and automated interviewers. Text respondents also reported a strong preference for future interviews by text. The findings suggest that people interviewed on mobile devices at a time and place that is convenient for them, even when they are multitasking, can give more trustworthy and accurate answers than those in more traditional spoken interviews. The findings also suggest that answers from text interviews, when aggregated across a sample, can tell a different story about a population than answers from voice interviews, potentially altering the policy implications from a survey.
DOI: 10.3886/e32155v1
title: Precision and Disclosure in Text and Voice Interviews on Smartphones: 2012 [United States]

description: As people increasingly communicate via asynchronous non-spoken modes on mobile devices, particularly text messaging (e.g., SMS), longstanding assumptions and practices of social measurement via telephone survey interviewing are being challenged. This dataset contains 1,282 cases, 634 cases that completed an interview and 648 cases that were invited to participate, but did not start or complete an interview on their iPhone. Participants were randomly assigned to answer 32 questions from US social surveys via text messaging or speech, administered either by a human interviewer or by an automated interviewing system. 10 interviewers from the University of Michigan Survey Research Center administered voice and text interviews; automated systems launched parallel text and voice interviews at the same time as the human interviews were launched. The key question was how the interview mode affected the quality of the response data, in particular the precision of numerical answers (how many were not rounded), variation in answers to multiple questions with the same response scale (differentiation), and disclosure of socially undesirable information. Texting led to higher quality data—fewer rounded numerical answers, more differentiated answers to a battery of questions, and more disclosure of sensitive information—than voice interviews, both with human and automated interviewers. Text respondents also reported a strong preference for future interviews by text. The findings suggest that people interviewed on mobile devices at a time and place that is convenient for them, even when they are multitasking, can give more trustworthy and accurate answers than those in more traditional spoken interviews. The findings also suggest that answers from text interviews, when aggregated across a sample, can tell a different story about a population than answers from voice interviews, potentially altering the policy implications from a survey.
DOI: 10.5255/ukda-sn-7059-3
title: Annual Population Survey, January - December, 2011
DOI: 10.6073/pasta/2e4d92a43bee8bfa0452075352c5bb7e
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2010-01-23
DOI: 10.6073/pasta/36d78554fbc292998e56009a4a49c9d4
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2010-02-08
DOI: 10.6073/pasta/c18a0e5e11f01c902871ca02d1b7b9eb
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 2010-04-29
DOI: 10.6073/pasta/39c689d92f525fdd903109417fe268a2
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-01-08
DOI: 10.6073/pasta/f456228c0cd9a8e400698056754889d9
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1986-05-28
DOI: 10.6073/pasta/f6b72909d300af84410f81bb2a7c1990
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-01-24
DOI: 10.6073/pasta/2a1a121de379333df4d10e74236f5b7d
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-03-13
DOI: 10.6073/pasta/719d63a117e0c5c2a8ad461b8805bc01
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-04-14
DOI: 10.6073/pasta/88b61d57855040c0c04255cd67cbcbee
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-03-29
DOI: 10.6073/pasta/e84cc609ffbc63bb45bd484810e6746b
title: Biomarker assessment of spatial and temporal changes in the composition of flocculent material (floc) in the subtropical wetland of the Florida Coastal Everglades (FCE) from May 2007 to December 2009
DOI: 10.6073/pasta/ee66230978726dfd1b84743136b5b7d2
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-02-25
DOI: 10.6073/pasta/f695e5b55ef5665bec4c7049083f6acc
title: Historical GIS Data for Harvard Forest Properties from 1908 to Present
DOI: 10.6073/pasta/225c69ffe624ea0b66312807096ab2b5
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-07-03
DOI: 10.6073/pasta/44813e9b93a8f98d2f1cd0fd7e5ae569
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-06-01
DOI: 10.6073/pasta/630a68fca05bac1868836a0733d2cdac
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-05-16
DOI: 10.6073/pasta/b2aacd4df712073b1d43b22da5286311
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-06-17
DOI: 10.6073/pasta/c641e6c5340846903409cda638221366
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-04-30
DOI: 10.6073/pasta/36032703542559ac9fa3eedc6d401803
title: Core Research Site Web Seasonal Biomass and Seasonal and Annual NPP Data for the Net Primary Production Study at the Sevilleta National Wildlife Refuge, New Mexico (1999- )
DOI: 10.6073/pasta/46e3f340f01e31f1537ccaa2e944929d
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-08-04
DOI: 10.6073/pasta/9b18b80c84f64c67824b98ff8d19e78f
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-07-19
DOI: 10.6073/pasta/fcd74c7d6885cff0023b363e947b95ae
title: Monsoon Rainfall Manipulation Experiment (MRME): Seasonal Biomass and Seasonal and Annual NPP Data at the Sevilleta National Wildlife Refuge, New Mexico (2006- )
DOI: 10.6073/pasta/2e1357dd764f0e7a1656e387c80b59f6
title: LEDAPS corrected Landsat Enhanced Thematic Mapper image data for Arctic LTER collected on 1986-06-13
DOI: 10.6073/pasta/4329b79e764cf2d17526188abfc264fd
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-10-07
DOI: 10.6073/pasta/eb7748e71dcf9c480408ee44278c332c
title: Warming-El Nino-Nitrogen Deposition Experiment (WENNDEx): Seasonal Biomass and Seasonal and Annual NPP at the Sevilleta National Wildlife Refuge, New Mexico (2006- )
DOI: 10.6073/pasta/4283b4d69653c533bccd055cce5f1c39
title: Biome Transition Along Elevational Gradients in New Mexico (SEON) Study: Flux Tower Seasonal Biomass and Seasonal and Annual NPP Data at the Sevilleta National Wildlife Refuge, New Mexico
DOI: 10.6073/pasta/4bf774bb97bdac39ffc51f3052bcf769
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1988-01-27
DOI: 10.6073/pasta/730cbc33391726bd1431d8f0373af22d
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1988-03-15
DOI: 10.6073/pasta/766f539ee0653ec6a23775c358011eee
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1987-10-23
DOI: 10.6073/pasta/77fd4b8f97920af62ab4ebe94c11baab
title: Landsat Enhanced Thematic Mapper image data for Baltimore Ecosystem Study collected on 1988-03-31