cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yj5pw6
title: Occurrence Download

description: A dataset containing 400041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Phlogophora meticulosa"
 ]
}

 The dataset includes 400041 records from 597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001324-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/73b-bzx-ymg
title: Senecio flavus (Decne.) Sch. Bip.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mb6-cp8-c9w
title: Senecio vernalis Waldst. & Kit.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr37314
title: Metastereotypes of Women in STEM
title: Archival Version

description: These data were collected from female faculty in STEM disciplines. Analyses will be reported in the Archives of Scientific Psychology.
description: Datasets:
					
						DS1: Dataset
DOI: 10.3535/3a2-44y-d67
title: Onobrychis Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j5j-xec-2qr
title: Scorpidium revolvens (Sw.) Rubers

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/spr-fzm-19a
title: Senecio vernalis Waldst. & Kit.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr37315
title: Can Looks Deceive You? Attractive Decoys Mitigate Beauty is Beastly Bias Against Women
title: Archival Version

description: Applicant attractiveness is usually beneficial in employee selection. However, under some circumstances, female applicant attractiveness can be detrimental, demonstrating a subtle form of gender bias. Little research has explored factors that accentuate or attenuate negative evaluations of attractive female job candidates (the beauty is beastly effect). In a series of studies, we find that the presence of a second attractive decoy job candidate in the hiring pool decreased the beauty is beastly effect. Mediation analysis suggests that the dominance heuristic explains the effect. The findings shed light on the beauty is beastly effect, the importance of context, and gender bias.
description: Datasets:
					
						DS1: Dataset
DOI: 10.3535/mbq-rrl-m9t
title: Polycarpaea robbairea (Kuntze) Greuter & Burdet

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nr5-62e-x8j
title: Onobrychis poikilantha Rech.f.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr37316
title: Career & Family Experiences of U.S. College Graduates with Business Majors
title: Archival Version

description: We collected qualitative and quantitative data from 70 individuals at different life stages to examine work-family management strategies adopted by men and women across four career-family centrality profiles: career-centric, family-centric, dual-centric, and other-centric. Participants were recruited by emailing business school alumni from a large southeastern U.S. university. Variables include: career and family role orientation, career satisfiers and demographics. At the end of the survey, the participants were asked if they would be interested in being interviewed about their life and career experiences, after which 283 expressed interest. Because of the in-depth nature of the follow-up study, we limited the sample to 100 participants for the interviews. To ensure heterogeneity of the sample, we intentionally selected interviewees from different age groups, with different marital and family statuses, and with diverse employment statuses in order to gather data on work-family strategies from individuals with different lifestyles and in different life stages. A total of 70 participants completed the interview process.
description: Variables include career and family role orientation, career satisfiers and demographics.
description: Participants were recruited by emailing business school alumni from a large southeastern U.S. university. At the end of the survey, the participants were asked if they would be interested in being interviewed about their life and career experiences, after which 283 expressed interest. Because of the in-depth nature of the follow-up study, we limited the sample to 100 participants for the interviews. To ensure heterogeneity of the sample, we intentionally selected interviewees from different age groups, with different marital and family statuses, and with diverse employment statuses.
description: Datasets: 
DS1: Career & Family Experiences of U.S. College Graduates with Business Majors
description: business school alumni from a large southeastern U.S. university.
description: This dataset is part of ICPSR's Archives of Scientific Psychology journal database. Users should contact the Editorial Office at the American Psychological Association for information on requesting data access.Funding was provided by Charlotte-Mecklenburg Women's Summit.
DOI: 10.15468/dl.66yvtr
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Conura enocki",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070141-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/mrk-bdx-w8m
title: Polycarpaea robbairea (Kuntze) Greuter & Burdet

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nw2-gdw-nw1
title: Capparis spinosa var. aegyptia (Lam.) Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.65pwhz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Larus cachinnans)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070139-250717081556266/datasets/export for details.
DOI: 10.21227/zvy6-k562
title: "FlexHash"

description: "Internet of Things (IoT) devices have become in-creasingly prevalent, and while convenient they pose security risksand must be monitored to keep networks safe. The problem ofidentifying IoT devices by fingerprinting their network traffichas been studied, with various approaches emerging. Whileachieving good results, many solutions require complex featureextraction, considerable computational overhead, and extensivedomain knowledge in both networking and machine learningto select relevant features and supporting ML algorithms. Inaddition, many current studies work to identify heterogeneousdevices in an artificially sterile (lab) environment. To improve theprocess we introduce FlexHash, a system that uses a combinationof locality-sensitive hashing and machine learning to identifyspecific devices based on a generic view of their network trafficcharacteristics. We successfully identify both heterogeneous andhomogeneous (identical) devices in an environment with both livenetwork noise and noise generated from other (unknown) IoTdevices. FlexHash is able to consume unprocessed network trafficin the form of .pcap files and produce feature vectors capableof highly accurate device identification and anomaly detection.To enhance the strength of this approach we develop our ownn-gram based hashing method allowing for various parametersin the algorithm to be tuned, making it possible to accuratelydifferentiate individual devices from among a field of identicalpeers as well as device genre and heterogeneous devices with asingle packet of network traffic."
DOI: 10.3535/9qj-z4b-a9g
title: Trigonella arabica Delile

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kwa-3xc-87h
title: Rubus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/z4j-m1g-q65
title: Ononis natrix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h64-pjl-p1n
title: Ononis pubescens L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mea-nkl-pv4
title: Iphiona scabra DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr34677
title: California Statewide Household Travel Survey, 2000-2001
title: Archival Version

description: The California Statewide Household Travel Survey, 2000-2001 was conducted in all 58 counties in California. Respondents were asked to record their travel and activities for either a 24- or 48-hour period. They were also asked to report detailed information regarding their trips, including trip times, mode of transportation, trip activities, trip origin, and trip destination. Demographic variables include gender, age, employment status, household size, vehicle ownership, whether household members were students on their given travel day, household income, type of housing unit, and whether respondents had a valid driver's license at the time of the survey.
description: The purpose of the study was to update the statewide database of household socioeconomic and travel information.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
description: Response Rates: The response rate for this survey was 20 percent. For additional information regarding response rates, please refer to the Original P.I. Documentation section of the ICPSR codebook.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: 2000-2001 California Statewide Household Travel Survey Main File 
 DS2: Household File 
 DS3: Location File 
 DS4: Person File 
 DS5: Trip File 
 DS6: Vehicle File
description: Metropolitan Travel Behavior Survey Series
description: mail questionnaire, telephone interview 
Due to incomplete documentation, this collection has been minimally processed by ICPSR.
 For additional information regarding the California Statewide Household Travel Survey, 2000-2001, please refer to the Metropolitan Travel Survey Archive Web site.
description: The universe for this study includes households residing in all 58 counties in California. Smallest Geographic Unit: Census Tract
description: For information regarding sampling, please refer to the Original P.I. Documentation section of the ICPSR codebook.
DOI: 10.3535/dbt-rhe-gyv
title: Thulinella chrysantha (Decne.) Roalson & J. C. Hall

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/q9t-0tn-r9g
title: Polycarpaea robbairea (Kuntze) Greuter & Burdet

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr34836
title: Talent Management Study: U.S. Workplaces In Today's Business Environment, 2009
title: Archival Version

description: The Talent Management Study: U.S. Workplaces in Today's Business Environment is a collection of information from nearly 700 United States workplaces which sought to explain variation in (1) organizational adaptation to significant socioeconomic change and the aging of the United States workforce, and (2) employer adoption of policies and programs that can support the quality of employment at the workplace. Data was collected via Web-based surveys where human resource directors or persons with equivalent responsibilities were asked a series of questions about their business environment. Questions ranged from opinions on whether various social issues had an economic impact on the businesses' economy, to polls of various programs or policies for recruitment, engagement, and career progression for specified employee groups. Organizational composition variables include number of employees, type of workplace, main industrial focus of organization, total number of work sites, approximate sales revenue, family-owned or acquired by merge.
description: The study was conducted in two phases: Pilot Phase (February 1- March 30, 2009) and Data Collection Phase (April 1-June 30, 2009). While the steps for each phase were identical, experience from the pilot phase was used to estimate the number of people that needed to be contacted in order to achieve the objective of 750 organizational respondents during the Data Collection Phase. Please refer to the Original P.I. Documentation in the ICPSR Codebook for more information on the study design.
description: This collection contains two weight variables, WEIGHT2TMS and WEIGHT1TMS, that should be used during analysis. The data were not randomly sampled and results cannot be generalized to the broader population of establishments in the United States, however these analytic weights were constructed to match the sample to the United States population of establishments with over 50 employees in terms of industry and employee size. Please refer to the Original P.I. Documentation in the ICPSR Codebook for more information on weights.
description: Response Rates: 42.7 percent
description: Quota Sampling: A stratified sampling frame was developed so that the dataset would be representative of United States workplaces that have 50 or more employees. Please refer to the Original P.I. Documentation in the ICPSR Codebook for more information on sampling.
description: Datasets: 
DS1: Talent Management Study: U.S. Workplaces In Today's Business Environment, 2009
description: United States businesses in 10 industries, with 50 or more employees. Smallest Geographic Unit: business sector
description: computer-assisted self interview (CASI); web-based surveyThere is a discrepancy between the dates given in the Original P.I. Documentation and the dates within the dataset. The data reflect dates March 11, 2009 through August 28, 2009.Please refer to the Sloan Center On Aging and Work Web site for more information on the Talent Management Study.
DOI: 10.3535/298-wd1-aan
title: Ononis natrix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2lv-mem-3wt
title: Carex riparia Curtis

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/9gg-6k9-lwm
title: Launaea spinosa (Forssk.) Sch. Bip. ex Kuntze

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/x7d-kgn-3t9
title: Pseudopodospermum papposum (DC.) Zaika, Sukhor. & N. Kilian

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/31s-mv0-qmn
title: Thulinella chrysantha (Decne.) Roalson & J. C. Hall

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k72-1xc-h4s
title: Tragopogon collinus DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/33x-7k5-sl4
title: Thulinella chrysantha (Decne.) Roalson & J. C. Hall

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jkt-j3l-7de
title: Rubus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr34636
title: National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR), 1991
title: Archival Version

description: The National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR) is a series conducted by the Census Bureau for the United States Department of the Interior Fish and Wildlife Service. This collection contains information regarding fishing, hunting, and other wildlife-associated activities for 1991. The survey is conducted every 5 years and includes 3 waves. Wave 1 is household-based and consists of a screener with the possibility of detailed interviews asking about a person's hunting, fishing or wildlife-watching activities and the likelihood that they will hunt, fish or watch wildlife. Wave 2 and Wave 3 are person-based, detailed interviews in which respondents were selected for the sample based on data collected from the screener in the first wave. The Sportsmen and Wildlife-Watching surveys for Wave 2 and Wave 3 gathered specific information about respondents' recreational participation including species hunted, fished, and watched; the state in which these activities occurred; number of trips taken; days of participation; and expenditures for food, lodging, transportation, and equipment. The questions asked throughout the 3 waves have been organized by topic into 3 datasets. The three datasets, (1) Screener, (2) Hunting and Fishing, and (3) Nonconsumptive, may contain responses from people surveyed during multiple waves. Demographic variables include sex, age, race, marital status and parental relations, education level, household income, state of residence, and type of residential area (e.g., urban or rural).
description: The purpose of the FHWAR Survey is to gather information on the number of anglers, hunters, and wildlife-watchers in the United States as well as about the activities they participate in, how often they participate, and how much they spend on these activities.
description: The data contains a weight variable for each dataset that should be used when analyzing the data. Please refer to the "Original P.I. Documentation" section in ICPSR Codebook for information on weights.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Screener 
 DS2: Hunting and Fishing 
 DS3: Nonconsumptive
description: National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR) Series
description: telephone interview 
 Additional information on the National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR) Series can be found at the United States Census Bureau Web site.
description: Persons 16 years and older residing in the United States. Smallest Geographic Unit: state
description: Please refer to the "Original P.I. Documentation" section in ICPSR Codebook for information on sampling.
DOI: 10.15468/dl.qpv5n3
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Paspalum paniculatum",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070142-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/533-tpe-4k8
title: Launaea spinosa (Forssk.) Sch. Bip. ex Kuntze

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/g5z-x5f-cet
title: Launaea spinosa (Forssk.) Sch. Bip. ex Kuntze

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qmp-f69-4pv
title: Quercus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rba-pan-0mp
title: Ononis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3886/icpsr34641
title: National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR), 1996
title: Archival Version

description: The National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR) is a series conducted by the Census Bureau for the United States Department of the Interior Fish and Wildlife Service. This collection contains information regarding fishing, hunting, and other wildlife-associated activities for 1996. The survey is conducted every 5 years and includes 3 waves. Wave 1 is household-based and consists of a screener with the possibility of detailed interviews asking about a person's hunting, fishing or wildlife-watching activities and the likelihood that they will hunt, fish or watch wildlife. Wave 2 and Wave 3 are person-based, detailed interviews in which respondents were selected for the sample based on data collected from the screener in the first wave. The Sportsman and Wildlife-Watching surveys for wave 2 and 3 gathered specific information about respondents' recreational participation, including species hunted, fished, and watched; the state in which these activities occurred; number of trips taken; days of participation; and expenditures for food, lodging, transportation, and equipment. The questions asked throughout the 3 waves have been organized by topic into 3 datasets. The three datasets, (1) Screening, (2) Sportsman (Fishing and Hunting), and (3) Wildlife Watching, may contain responses from people surveyed during multiple waves. Demographic variables include sex, age, race, marital status and parental relations, education level, household income, state of residence, and type of residential area (e.g., urban or rural).
description: The purpose of the FHWAR Survey is to gather information on the number of anglers, hunters, and wildlife-watchers in the United States as well as about the activities they participate in, how often they participate, and how much they spend on these activities.
description: The data contains a weight variable for each dataset that should be used when analyzing the data. Please refer to the "Original P.I. Documentation" section in ICPSR Codebook for information on weights.
description: Please refer to the "Original P.I. Documentation" section in ICPSR Codebook for information on sampling.
description: Datasets: DS0: Study-Level Files DS1: Screening DS2: Sportsman (Fishing and Hunting) DS3: Wildlife Watching
description: Persons 16 years and older residing in the United States. Smallest Geographic Unit: state
description: computer-assisted personal interview (CAPI); computer-assisted telephone interview (CATI)Additional information on the National Survey of Fishing, Hunting, and Wildlife-Associated Recreation (FHWAR) Series can be found at the United States Census Bureau Web site.
DOI: 10.3535/esl-gy8-711
title: Senecio glaucus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8h2-0pn-s1t
title: Ononis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/94h-vsj-nxz
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/h6f-9ea-xlh
title: Onobrychis Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jrs-188-2m4
title: Phleum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/304-1kj-ff0
title: Astragalus aureus Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7wl-em4-qgt
title: Pastinaca pimpinellifolia M. Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.