cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28652519.v2
title: Unique immune and other responses of human nasal epithelial cells infected with H5N1 avian influenza virus compared to seasonal human influenza A and B viruses

description: Highly pathogenic avian influenza (HPAI) virus (e.g. H5N1) infects the lower airway to cause severe infections, and constitute a prime candidate for the emergence of disease X. The nasal epithelium is the primary portal of entry for respiratory pathogens, serving as the airway's physical and immune barrier. While HPAI virus predominantly infects the lower airway, not much is known about its interactions with the nasal epithelium. Hence, we sought to elucidate and compare the differential responses of the nasal epithelium against HPAI infection that may contribute to its pathology, and to identify critical response markers. We infected human nasal epithelial cells (hNECs) cultured at the air–liquid interface from multiple healthy donors with clinical isolates of major human seasonal influenza viruses (H1N1, H3N2, influenza B) and HPAI H5N1. The infected cells were subjected to virologic, transcriptomic and secretory protein analyses. While less adapted to infecting the nasal epithelium, HPAI H5N1 elicited unique host responses unlike seasonal influenza. Interestingly, H5N1 infection of hNECs induced responses indicative of subdued antiviral activity (e.g. reduced expression of IFNβ, and inflammasome mediators, IL-1α and IL-1β); decreased wound healing; suppressed re-epithelialization; compromised epithelial barrier integrity; diminished responses to oxidative stress; and increased transmembrane solute and ion carrier gene expression. These unique molecular changes in response to H5N1 infection may represent potential targets for enhancing diagnostic and therapeutic strategies for better surveillance and management of HPAI infection in humans.
DOI: 10.6084/m9.figshare.28652519.v1
title: Unique Immune and Other Responses of Human Nasal Epithelial Cells Infected with H5N1 Avian Influenza Virus Compared to Seasonal Human Influenza A and B Viruses

description: Highly pathogenic avian influenza (HPAI) virus (e.g. H5N1) infects the lower airway to cause severe infections, and constitute a prime candidate for the emergence of disease X. The nasal epithelium is the primary portal of entry for respiratory pathogens, serving as the airway’s physical and immune barrier. While HPAI virus predominantly infects the lower airway, not much is known about its interactions with the nasal epithelium. Hence, we sought to elucidate and compare the differential responses of the nasal epithelium against HPAI infection that may contribute to its pathology, and to identify critical response markers. We infected human nasal epithelial cells (hNECs) cultured at the air-liquid interface from multiple healthy donors with clinical isolates of major human seasonal influenza viruses (H1N1, H3N2, influenza B) and HPAI H5N1. The infected cells were subjected to virologic, transcriptomic and secretory protein analyses. While less adapted to infecting the nasal epithelium, HPAI H5N1 elicited unique host responses unlike seasonal influenza. Interestingly, H5N1 infection of hNECs induced responses indicative of subdued antiviral activity (e.g. reduced expression of IFNβ, and inflammasome mediators, IL-1α and IL-1β); decreased wound healing; suppressed re-epithelialization; compromised epithelial barrier integrity; diminished responses to oxidative stress; and increased transmembrane solute and ion carrier gene expression. These unique molecular changes in response to H5N1 infection may represent potential targets for enhancing diagnostic and therapeutic strategies for better surveillance and management of HPAI infection in humans.
DOI: 10.15468/dl.amv4ds
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crataegus rivulopugnensis J.B.Phipps & O'Kennon"
 ]
}

 The dataset includes 65 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008742-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcjbrh
title: Occurrence Download

description: A dataset containing 724904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium palustre (L.) Scop.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 724904 records from 1805 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008727-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0191315.10fu
title: SH0191315.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191316.10fu
title: SH0191316.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191317.10fu
title: SH0191317.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191318.10fu
title: SH0191318.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191319.10fu
title: SH0191319.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0191320.10fu
title: SH0191320.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.8mmpdm
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 {
 "or" : [
 "Country is Angola",
 "Country is Bahrain",
 "Country is Benin",
 "Country is Cameroon",
 "Country is Comoros",
 "Country is Congo",
 "Country is Congo, Democratic Republic of the",
 "Country is Côte d’Ivoire",
 "Country is Djibouti",
 "Country is Egypt",
 "Country is Eritrea",
 "Country is Equatorial Guinea",
 "Country is Gabon",
 "Country is Gambia",
 "Country is Ghana",
 "Country is Guinea",
 "Country is Guinea-Bissau",
 "Country is Iran (Islamic Republic of)",
 "Country is Iraq",
 "Country is Jordan",
 "Country is Kenya",
 "Country is Kuwait",
 "Country is Liberia",
 "Country is Madagascar",
 "Country is Mauritania",
 "Country is Mauritius",
 "Country is Mozambique",
 "Country is Nigeria",
 "Country is Oman",
 "Country is Qatar",
 "Country is Réunion",
 "Country is Saudi Arabia",
 "Country is Senegal",
 "Country is Seychelles",
 "Country is Sierra Leone",
 "Country is Somalia",
 "Country is South Africa",
 "Country is South Sudan",
 "Country is Sudan",
 "Country is Tanzania, United Republic of",
 "Country is Togo",
 "Country is United Arab Emirates",
 "Country is Yemen",
 "Country is Zambia",
 "Country is Zimbabwe"
 ]
 },
 "TaxonKey is Rhizophora ×harrisonii Leechm.",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (VAGRANT)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "DegreeOfEstablishment" : [
 "is one of (CULTIVATED)"
 ]
 }
 },
 "DegreeOfEstablishment is null"
 ]
 }
 ]
}

 The dataset includes 159 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022796-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr08975
title: National Survey of Lawyers' Career Satisfaction, Wave I, 1984, and Wave II, 1990
title: Archival Version

description: The purpose of this data collection was to assess career satisfaction among young lawyers throughout the United States. The questionnaire was designed to include as many factors as possible that might reasonably affect job satisfaction. The 1984 survey solicited information on lawyers' job descriptions, educational background, psychological characteristics, and basic demographics. Other questions pertained to job setting, substantive law areas of the respondent, geographical area in which the law firm was located, time spent each day on certain projects, and job stress. The 1990 survey posed questions identical to those in the 1984 survey, and added items covering part-time work, referral plans, sexual harassment in the workplace, gender and racial biases, reasons for changing jobs, drug use, disabilities, law school activities, and weighted job satisfaction scales.
description: In 1984, three target groups were identified: lawyers 36 years of age and over who belonged to the American Bar Association (ABA), members of the ABA under 36 years old, excluding law students, and all lawyers in the nonmember files kept by the ABA. A systematic random probability sample was drawn to represent each of the three groups of lawyers involved in the survey. The group of lawyers under 36 years of age was oversampled. In the 1990 survey, the 1984 respondents were reinterviewed. Also, a systematic random sample was drawn of all lawyers admitted to the Bar after 1983.
description: Datasets: DS0: Study-Level Files DS1: 1984 Survey Data DS2: 1990 Survey Data DS3: SAS Control Cards for 1984 Survey Data DS4: SAS Control Cards for 1990 Survey Data
description: For 1984 data: all lawyers admitted to the ABA in the United States prior to 1983. For 1990 data: all lawyers admitted to the ABA in the United States after 1983.
description: In Part 1, 1984 Survey Data, the variable MATCHID can be used to match subjects in the 1984 data file with those in the 1990 data file (both files are already sorted by MATCHID). The variable RESPOND can be used to select those 1984 subjects present in the 1990 file. Missing data was not standardized in Part 2, 1990 Survey Data.
DOI: 10.5281/zenodo.14845691
title: 4DHydro_Results_Tetis_Sentinel_Po_30sec_daily_SC12_20191110_20191231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 30 sec, and temporal resolution daily. Experiment SC12. Earth observation Sentinel.

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2


Additional, a .csv file with discharge values at certain points, for each day in cubic meters per second.
DOI: 10.5281/zenodo.14845692
title: 4DHydro_Results_Tetis_Sentinel_Po_30sec_daily_SC12_20191110_20191231

description: Modeling results with TETIS software, for Po River with a spatial resolution of 30 sec, and temporal resolution daily. Experiment SC12. Earth observation Sentinel.

Includes results for the following variables:



Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2

Total evapotranspiration flux in kg m-2 s-1

Snow water equivalent in kg m-2


Additional, a .csv file with discharge values at certain points, for each day in cubic meters per second.
DOI: 10.3886/icpsr08672
title: British Crime Survey, 1982
title: Archival Version

description: The primary purpose of the British Crime Survey was to estimate how many of the public in England and Wales are victims of selected types of crime over a year, describing the circumstances under which people become victims, and the consequences of crime for victims. Other aims included providing background information on fear of crime among the public and on public contact with the police. Respondents were asked a series of screening questions to establish whether or not they or their households had been victims of relevant crimes during the one-year reference period. They were then asked a series of very detailed questions about the incidents they reported. Basic descriptive background information on respondents and their households was collected to allow analysis of the sorts of people who do and do not become victims. Information was also collected on other areas which were of intrinsic interest and which could usefully be related to experience as a victim, namely, fear of crime, contact with the police, lifestyle, and self-reported offending.
description: Multistage probability sample using electoral registers as the frame.
description: Datasets: DS0: Study-Level Files DS1: Main DS2: Victim DS3: Followup DS4: Hierarchical DS5: Padded
description: People aged 16 and over living in private households in England and Wales and whose addresses appear in the electoral registers.
description: This collection offers three distinct representations of British Crime Survey data. They are Parts 1-3, Part 4, and Part 5. Part 1 consists of data captured on the Main Questionnaire. Part 2 represents data from the Victim Form. Part 3 consists of data collected via the Followup Questionnaire. Parts 1-3 are documented with SPSS Control Cards and the nonnumeric codes "-1" and "-2" are used to represent missing data. Part 4 is a hierarchically structured file consisting of 5 cards per resondent containing data from the Main Questionnaire (approx. 188 variables), followed by 5 cards per Victim Form (approx. 290 variables) for up to four Victim Forms per respondent, followed by 5 cards containing data from the Followup Questionnaire (approx. 230 variables). Only respondents reporting incidents of victimization have Victim Forms. The Followup Questionnaire was administered to all respondents reporting incidents of victimization and to 2 in 5 other respondents. Part 5 is identical to Part 4 except that it has been "padded" by inserting blank cards so that there are thirty 80-column cards for each respondent. The codebook describes Parts 4 and 5 only. Hardcopy documentation describes interviews with 5,031 people in Scotland, however, data for Scotland are not included in this dataset.
DOI: 10.15468/dl.sxxxt3
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"in","key":"TAXON_KEY","values":["5658284"],"matchCase":false},{"type":"in","key":"LICENSE","values":["CC0 1.0","CC-BY 4.0"],"matchCase":false},{"type":"equals","key":"MEDIA_TYPE","value":"StillImage","matchCase":false}]}

 The dataset includes 82 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022799-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr09210
title: Capital Punishment in the United States, 1973-1987
title: Archival Version

description: This data collection provides annual data on prisoners under a sentence of death and on prisoners whose sentences were commuted or vacated. The data furnish basic sociodemographic classifications including age, sex, race and ethnicity, marital status at time of imprisonment, level of education, and state and region of incarceration. Criminal history information includes prior felony convictions, prior convictions for criminal homicide, and legal status at the time of the capital offense. Additional information is provided on those inmates removed from death row by yearend 1986, inmates receiving a second capital punishment sentence in 1987, and inmates who were executed.
description: Datasets: DS1: Capital Punishment in the United States, 1973-1987
description: All persons in the United States under sentence of death between 1973 and 1987.
description: (1) Information in this dataset collected prior to 1972 is in many cases incomplete and reflects vestiges in the reporting process. (2) Users should note that Part 1, the Combined File contains duplicate identification numbers due to changes in the status of some inmates. These identification numbers were assigned by the Bureau of the Census and have no purpose outside this dataset.
DOI: 10.3886/icpsr09229
title: CBS News/New York Times Monthly Poll, January 1989
title: Archival Version

description: This data collection is part of a continuing series of monthly surveys that evaluates the Reagan presidency and solicits opinions on a variety of political and social issues. Topics covered include a retrospective evaluation of Ronald Reagan's presidency, the death penalty, pay increases for congressional representatives, federal defense spending, crime, the national economy, ethics in government, poverty, abortion, the Palestine Liberation Organization, and important problems facing the nation such as homelessness, nuclear war, unemployment, drugs, and the problems of farmers. In addition, respondents were asked if they were optimistic or pessimistic about the Bush presidency, if Bush would ask Congress to increase taxes, and if Bush would be able to accomplish his goals of significantly improving the environment, education, and relations with the Soviet Union, reducing drug problems in the country, balancing the federal budget, and alleviating the problem of homelessness. Background information on individuals includes party affiliation, age, marital status, income, sex, religious preference, education, and race.
description: Stratified random digit dialing.
description: Datasets: DS1: CBS News/New York Times Monthly Poll, January 1989
description: Adults aged 18 and over in the United States.
description: This file contains a weight variable that must be used in any analysis. The data contain blanks, ampersands (&), and dashes (-). Telephone exchanges have been recoded to '999' for reasons of confidentiality.