cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.y6q2um
title: Occurrence Download

description: A dataset containing 7607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pilosella officinarum Vaill.",
 "Year 2000-2023"
 ]
}

 The dataset includes 7607 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067104-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-183563
title: Proydennyy put' = [Distance travelled], 2005

description: [description english/roman)] Nikolai Egorov. Proydennyy put' = [Distance travelled]. Maloyaroslavets, Russia: Evangelist Publishing, 2005.
DOI: 10.15468/dl.tazuys
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus beirensis (Samp.) Samp."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0105663-230530130749713/datasets/export for details.
DOI: 10.25549/pcra-c14-183656
title: Proydennyy put' = [Distance travelled], 2005

description: [description english/roman)] Nikolai Egorov. Proydennyy put' = [Distance travelled]. Maloyaroslavets, Russia: Evangelist Publishing, 2005.
DOI: 10.15468/dl.g6bau8
title: Occurrence Download

description: A dataset containing 990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Cisticola pipiens",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 990 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067136-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-183716
title: Proydennyy put' = [Distance travelled], 2005

description: [description english/roman)] Nikolai Egorov. Proydennyy put' = [Distance travelled]. Maloyaroslavets, Russia: Evangelist Publishing, 2005.
DOI: 10.15468/dl.mk492j
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Hemiptera de la Colección entomológica de la Universidad del Atlántico UARC"
 ]
}

 The dataset includes 150 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146611-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uq4wf
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estudio poblacional y conservación del mono araña (Ateles geoffroyi yucatanensis) en la región nororiental Península de Yucatán"
 ]
}

 The dataset includes 84 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0273377-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-183698
title: Proydennyy put' = [Distance travelled], 2005

description: [description english/roman)] Nikolai Egorov. Proydennyy put' = [Distance travelled]. Maloyaroslavets, Russia: Evangelist Publishing, 2005.
DOI: 10.15468/dl.b2jm4d
title: Occurrence Download

description: A dataset containing 55202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capsicum annuum L."
 ]
}

 The dataset includes 55202 records from 563 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063092-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vudkg
title: Occurrence Download

description: A dataset containing 835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corbicula fluminea (O.F.Müller, 1774)",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 835 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077907-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15715939
title: stefanocoretta/grni-vitality: v1.0

description: Vitality assessment of Gallo-Romance of Northern Italy
DOI: 10.5281/zenodo.15715938
title: stefanocoretta/grni-vitality: v1.0

description: Vitality assessment of Gallo-Romance of Northern Italy
DOI: 10.15468/dl.9bgr35
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corbicula fluminea (O.F.Müller, 1774)",
 "Country is Uruguay",
 "HasCoordinate is true"
 ]
}

 The dataset includes 32 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077909-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15768954
title: Supplementary material of the study "An Ontology-based Approach for Developing Systems to Identify Who Knows What in Software Organizations"

description: Supplementary MaterialContext: Software development is a knowledge-intensive process, and its success in an organization relies deeply on knowledge sharing. Knowledge management challenges are often increased in agile environments, which involve a lot of tacit knowledge, commonly acquired through experiences and hard to make explicit. Thus, knowledge sharing among practitioners is crucial. However, identifying suitable experts to share specific knowledge is not trivial. It involves not only discovering the individuals with the desired knowledge but also considering other factors that may improve the expert's responsiveness, such as social connections and availability. Moreover, the data overload problem and the specific nature of the experts’ knowledge can hinder people from finding experts with the required knowledge. Expert-finding systems address this issue by identifying and ranking experts. Developing such systems is challenging and involves complex concepts such as expertise, skill, and knowledge, among others. Additionally, integrating diverse heterogeneous sources that offer evidence of expertise poses a difficulty. Ontologies can be helpful in this matter by providing semantics to data and addressing semantic conflicts that can lead to data misuse or misinterpretation. Objective: We aim to help organizations develop expert-finding systems to identify who knows what in a software organization considering data stored in the organization repositories and non-technical factors that may affect knowledge sharing. Method: We developed iKnow, an ontology-based approach that supports developing systems that use data on skill manifestations to identify who knows what. Results: iKnow was applied to develop the ExpertFY system, which was used by members of a software organization. ExpertFY helped identify experts the members had not identified themselves. Conclusion: the results suggest that iKnow is a useful and promising approach to developing expert-finding systems and ExpertFY improves the identification of who knows what.This package contains supplementary material of the performed study. It contains:

EXPERTFY EVALUATION ARTIFACTS



Instructions that were followed by the participants: instructions.pdf

The questionaire participants answered: forms.pdf

The response of the participants (in Portuguese): responses.pdf


EXPERTFY DEVELOPMENT REPORT



A report regarding ExpertFY development: iknow-application-report.pdf
description: This research is supported by Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) - Finance Code 001, and Espírito Santo Research and Innovation Support Foundation (FAPES) - Processes 2023-5L1FC, 2021-GL60J, 2022-NGKM5, and T.O. 1022/2022.
DOI: 10.5281/zenodo.15768953
title: Supplementary material of the study "An Ontology-based Approach for Developing Systems to Identify Who Knows What in Software Organizations"

description: Supplementary MaterialContext: Software development is a knowledge-intensive process, and its success in an organization relies deeply on knowledge sharing. Knowledge management challenges are often increased in agile environments, which involve a lot of tacit knowledge, commonly acquired through experiences and hard to make explicit. Thus, knowledge sharing among practitioners is crucial. However, identifying suitable experts to share specific knowledge is not trivial. It involves not only discovering the individuals with the desired knowledge but also considering other factors that may improve the expert's responsiveness, such as social connections and availability. Moreover, the data overload problem and the specific nature of the experts’ knowledge can hinder people from finding experts with the required knowledge. Expert-finding systems address this issue by identifying and ranking experts. Developing such systems is challenging and involves complex concepts such as expertise, skill, and knowledge, among others. Additionally, integrating diverse heterogeneous sources that offer evidence of expertise poses a difficulty. Ontologies can be helpful in this matter by providing semantics to data and addressing semantic conflicts that can lead to data misuse or misinterpretation. Objective: We aim to help organizations develop expert-finding systems to identify who knows what in a software organization considering data stored in the organization repositories and non-technical factors that may affect knowledge sharing. Method: We developed iKnow, an ontology-based approach that supports developing systems that use data on skill manifestations to identify who knows what. Results: iKnow was applied to develop the ExpertFY system, which was used by members of a software organization. ExpertFY helped identify experts the members had not identified themselves. Conclusion: the results suggest that iKnow is a useful and promising approach to developing expert-finding systems and ExpertFY improves the identification of who knows what.This package contains supplementary material of the performed study. It contains:

EXPERTFY EVALUATION ARTIFACTS



Instructions that were followed by the participants: instructions.pdf

The questionaire participants answered: forms.pdf

The response of the participants (in Portuguese): responses.pdf


EXPERTFY DEVELOPMENT REPORT



A report regarding ExpertFY development: iknow-application-report.pdf
description: This research is supported by Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) - Finance Code 001, and Espírito Santo Research and Innovation Support Foundation (FAPES) - Processes 2023-5L1FC, 2021-GL60J, 2022-NGKM5, and T.O. 1022/2022.
DOI: 10.3886/icpsr13573.v1
title: Census of Population and Housing, 2000 [United States]: Equal Employment Opportunity (EEO) Tabulation
title: Version 1

description: The United States Census Bureau entered into a reimbursable
 agreement with a consortium of four federal agencies, consisting of
 the Equal Employment Opportunity Commission (EEOC), the Department of
 Justice (DOJ), the Department of Labor (DOL), and the Office of
 Personnel Management (OPM), to create a special tabulation identified
 as the Census 2000 Special Equal Employment Opportunity (EEO)
 Tabulation. This tabulation was created according to the specifications
 of the agencies in the consortium. However, it contains information
 similar to comparable tabulations from the 1970, 1980, and 1990
 Censuses. The Census 2000 Special EEO Tabulation serves as the primary
 external benchmark for comparing the race, ethnicity, and sex
 composition of an organization's internal workforce, and the analogous
external labor market, within a specified geography and job category.
description: Datasets: 
DS0: Study-Level Files
DS1: United States, Except Hawaii Table 1
DS2: United States, Except Hawaii Table 2
DS3: United States, Except Hawaii Table 3
DS4: United States, Except Hawaii Table 4
DS5: United States, Except Hawaii Table 5
DS6: United States, Except Hawaii Table 6
DS7: United States, Except Hawaii Table 7
DS8: United States, Except Hawaii Table 8
DS9: United States, Except Hawaii Table 9
DS10: United States, Except Hawaii Table 10
DS11: United States, Except Hawaii Table 11
DS12: United States, Except Hawaii Table 12
DS13: United States, Except Hawaii Table 13
DS14: United States, Except Hawaii Table 14
DS15: United States, Except Hawaii Table 15
DS16: United States, Except Hawaii Table 16
DS17: United States, Except Hawaii Table 17
DS18: United States, Except Hawaii Table 18
DS19: United States, Except Hawaii Table 19
DS20: United States, Except Hawaii Table 20
DS21: United States, Except Hawaii Table 21
DS22: United States, Except Hawaii Table 22
DS23: United States, Except Hawaii Table 23
DS24: United States, Except Hawaii Table 24
DS25: Hawaii Table 1
DS26: Hawaii Table 2
DS27: Hawaii Table 3
DS28: Hawaii Table 4
DS29: Hawaii Table 5
DS30: Hawaii Table 6
DS31: Hawaii Table 7
DS32: Hawaii Table 8
DS33: Hawaii Table 9
DS34: Hawaii Table 10
DS35: Hawaii Table 11
DS36: Hawaii Table 12
DS37: Hawaii Table 13
DS38: Hawaii Table 14
DS39: Hawaii Table 15
DS40: Hawaii Table 16
DS41: Hawaii Table 17
DS42: Hawaii Table 18
DS43: Hawaii Table 19
DS44: Hawaii Table 21
DS45: Hawaii Table 22
DS46: Hawaii Table 23
DS47: Hawaii Table 24
description: All persons and housing units in the United States in
2000.
description: The Special EEO Tabulation consists of 24 separate
 datasets. Each dataset is really a set of two datasets or versions.
 One version covers all areas except Hawaii, and the second covers
 Hawaii only. The only difference between the versions is that the
 Hawaii version has 15 race/ethnicity categories while the version for
all areas except Hawaii contains only 12.
DOI: 10.3886/icpsr13573
title: Census of Population and Housing, 2000 [United States]: Equal Employment Opportunity (EEO) Tabulation
title: Archival Version

description: The United States Census Bureau entered into a reimbursable
 agreement with a consortium of four federal agencies, consisting of
 the Equal Employment Opportunity Commission (EEOC), the Department of
 Justice (DOJ), the Department of Labor (DOL), and the Office of
 Personnel Management (OPM), to create a special tabulation identified
 as the Census 2000 Special Equal Employment Opportunity (EEO)
 Tabulation. This tabulation was created according to the specifications
 of the agencies in the consortium. However, it contains information
 similar to comparable tabulations from the 1970, 1980, and 1990
 Censuses. The Census 2000 Special EEO Tabulation serves as the primary
 external benchmark for comparing the race, ethnicity, and sex
 composition of an organization's internal workforce, and the analogous
external labor market, within a specified geography and job category.
description: Datasets: 
DS0: Study-Level Files
DS1: United States, Except Hawaii Table 1
DS2: United States, Except Hawaii Table 2
DS3: United States, Except Hawaii Table 3
DS4: United States, Except Hawaii Table 4
DS5: United States, Except Hawaii Table 5
DS6: United States, Except Hawaii Table 6
DS7: United States, Except Hawaii Table 7
DS8: United States, Except Hawaii Table 8
DS9: United States, Except Hawaii Table 9
DS10: United States, Except Hawaii Table 10
DS11: United States, Except Hawaii Table 11
DS12: United States, Except Hawaii Table 12
DS13: United States, Except Hawaii Table 13
DS14: United States, Except Hawaii Table 14
DS15: United States, Except Hawaii Table 15
DS16: United States, Except Hawaii Table 16
DS17: United States, Except Hawaii Table 17
DS18: United States, Except Hawaii Table 18
DS19: United States, Except Hawaii Table 19
DS20: United States, Except Hawaii Table 20
DS21: United States, Except Hawaii Table 21
DS22: United States, Except Hawaii Table 22
DS23: United States, Except Hawaii Table 23
DS24: United States, Except Hawaii Table 24
DS25: Hawaii Table 1
DS26: Hawaii Table 2
DS27: Hawaii Table 3
DS28: Hawaii Table 4
DS29: Hawaii Table 5
DS30: Hawaii Table 6
DS31: Hawaii Table 7
DS32: Hawaii Table 8
DS33: Hawaii Table 9
DS34: Hawaii Table 10
DS35: Hawaii Table 11
DS36: Hawaii Table 12
DS37: Hawaii Table 13
DS38: Hawaii Table 14
DS39: Hawaii Table 15
DS40: Hawaii Table 16
DS41: Hawaii Table 17
DS42: Hawaii Table 18
DS43: Hawaii Table 19
DS44: Hawaii Table 21
DS45: Hawaii Table 22
DS46: Hawaii Table 23
DS47: Hawaii Table 24
description: All persons and housing units in the United States in
2000.
description: The Special EEO Tabulation consists of 24 separate
 datasets. Each dataset is really a set of two datasets or versions.
 One version covers all areas except Hawaii, and the second covers
 Hawaii only. The only difference between the versions is that the
 Hawaii version has 15 race/ethnicity categories while the version for
all areas except Hawaii contains only 12.
DOI: 10.15468/dl.m62247
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Corbicula fluminea (O.F.Müller, 1774)",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077910-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fggmd5
title: Occurrence Download

description: A dataset containing 127742 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eupsittula pertinax (Linnaeus, 1758)"
 ]
}

 The dataset includes 127742 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077860-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/mgip9a
title: MADRS_MaddenDissertation_ExternalExaminer_RewrittenDecisionScores

description: This dataset contains the original and rewritten (i.e.: simplified) texts from 3 different judicial decisions. It also contains an Excel spreadsheet that shows the MADRS (readability) results for the original and rewritten texts.
DOI: 10.15468/dl.89u5cq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077913-250525065834625/datasets/export for details.
DOI: 10.3886/icpsr09830.v1
title: National Ambulatory Medical Care Survey, 1989
title: Version 1

description: The National Ambulatory Medical Care Surveys (NAMCS) supply 
 data on ambulatory medical care provided in physicians' offices. The 
 1989 survey contains information from 38,384 patient visits to 1,421 
 physicians. Data are available on the patient's reason for the visit, 
 the physician's diagnosis, and the kinds of diagnostic and therapeutic 
 services rendered. Information is included on the physician's 
 specialization and geographic location. Demographic information on 
patients, such as age, sex, race, and ethnicity, was also collected.
description: The 1989 NAMCS utilized a multistage probability sample 
 design. Primary sampling units were selected in the first stage, 
 physician practices within PSUs in the second stage, and patient visits 
to selected physicians in the third stage.
description: Datasets: 
DS1: National Ambulatory Medical Care Survey, 1989
description: Office visits made within the United States by patients of 
 nonfederally employed physicians who were primarily involved in 
 office-based patient care activities, but not engaged in the 
specialties of radiology, pathology, or anesthesiology.
description: Per agreement with NCHS, ICPSR distributes the data 
 file(s) and technical documentation in this collection in their 
original form as prepared by NCHS.
DOI: 10.5281/zenodo.15769029
title: Towards Trustworthy Digital Finance: Ethical and Privacy-Based Dilemma
DOI: 10.5281/zenodo.15769030
title: Towards Trustworthy Digital Finance: Ethical and Privacy-Based Dilemma
DOI: 10.34847/nkl.4e87wld6
title: GA 460 f.207v-f.216v TEI/XML
title: NT.VMR Doc ID 30460

description: GA 460 or Gr. Z 11(=379), f.207v-f.216v, Epistle to the Galatians; TEI/XML transcription by Sara Schulthess (SNSF HumaReC; humarec.org; ISSN 2504-5075, https://humarec.org).
description: Bibliographic citation: GA 460
description: Provenance: Marciana Library, Venice
description: date: 12th century CE
DOI: 10.3886/icpsr38178.v1
title: The University of Georgia (UGA) Patent Litigation Datafile, United States, 1929-2006
title: Version 1

description: The centerpiece of these patent litigation data are decisions from US courts. The data include litigated patents themselves, a set of random patents matched to the litigated patents, and numerous decision-specific and patent-specific variables. Before using these data, please read the following paper:

Henry, Matthew D.; McGahee, Thomas P.; Turner, John L. 2013.
Dynamics of Patent Precedent and Enforcement: An Introduction to the UGA Patent Litigation Datafile.
description: The data combine two separately-gathered data sets, one for district court decisions published in the United States Patents Quarterly (USPQ) and another for appeals court decisions published in the (USPQ). In both cases,
decisions span 1929-2006. District court decisions are matched to the first appeals court decision
in the case, using the USPQ and case histories from Westlaw. In cases where the district court decision is not published but the appellate court decision is published, the district court decision from the appellate court decision is observed. Hence, the data include many district court
decisions that are unpublished.
description: Variables include information about the patents, such as the date the patent was issued and where in the United States the patent originated from, updates to the patents, and the results of litigation surrounding those patents.
description: Patent Litigation decisions come from the United States Patents Quarterly. Patent-specific information comes from the The United States Patent and Trademark Office (USPTO).
description: Datasets: 
DS0: Study-Level Files
DS1: Master File
DS2: Matched File
description: record abstracts
DOI: 10.15468/dl.ufeqf9
title: Occurrence Download

description: A dataset containing 45589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Zonotrichia capensis (P.L.S.Müller, 1776)",
 "Year 2023-2024"
 ]
}

 The dataset includes 45589 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077915-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.