cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.6nbmw3
title: Occurrence Download

description: A dataset containing 28491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Masaryk University - Herbarium BRNU, iNaturalist Research-grade Observations, Pl@ntNet observations, Herbarium GAT, Pladias SK, A global database for the distributions of crop wild relatives, Charles University Prague - Herbarium PRC, EURISCO, The European Genetic Resources Search Catalogue)",
 "Geometry POLYGON((17.31709 49.22139,16.74616 48.79338,17.3404 48.65502,18.10941 48.70887,18.43565 49.05368,18.09776 49.35818,17.31709 49.22139))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 28491 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007048-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12608975
title: Characteristic buffering time against sulfate acidification
DOI: 10.48659/j01q-rh96
title: Runaway Advertisements from Jamaica, 1781-2

description: Newspaper advertisements written and published by enslavers seeking the capture and return of enslaved people who had escaped. Published in the Gazette of St Jago (Spanish Town), Jamaica, February 1781 to October 1782.
DOI: 10.15468/dl.cz8k7h
title: Occurrence Download

description: A dataset containing 7990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.58327 39.15175,3.78134 39.15175,3.78134 40.03061,1.58327 40.03061,1.58327 39.15175))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coleoptera"
 ]
}

 The dataset includes 7990 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007050-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5255/ukda-sn-857283
title: The Underpinnings of Linguistic Optimisation in Comprehension, 2020-2024

description: It is now well-established that sleep, plasticity, and memory consolidation mechanisms are crucial for successful adult communication, particularly when a language involves a clearly novel item such as a new word. Recently, an intriguing addition to this literature opened up a new potential role for memory consolidation, this time moving beyond simple novelty. A recent study from our group suggested that sleep and memory consolidation may also operate to support everyday language comprehension even in the absence of new linguistic units. Here we comprehensively address whether and how these memory systems underpin comprehension. Three possible roles for sleep and memory consolidation in comprehension are considered here: 1) They help us to refine the mental representations of words to ensure optimal future comprehension. 2) They help us to track the linguistic events that are referred to during conversation, facilitating effective dialogue over a range of time-spans. 3) They help us to identify and maintain speaker-specific preferences in the way language is used. All of these roles can be thought of as ways of optimising our ability to use language in conversation, or in reading and writing. Indeed any or all of these roles may turn out to be correct, and an exciting possibility is that at some level there might be a framework for unifying these disparate aspects of language comprehension based on the same underlying memory processes. The current proposal develops and tests these accounts, allowing us to understand for the first time the extent to which sleep and memory consolidation underpin and maintain our day-to-day ability to use language. The data collections are available following the links provided in Related Resources.
DOI: 10.5281/zenodo.12582477
title: Impact of atmospheric water-soluble iron on α-pinene-derived SOA formation and transformation in the presence of aqueous droplets

description: The following data sets belong to the article "Impact of atmospheric water-soluble iron on α-pinene-derived SOA formation and transformation in the presence of aqueous droplets" The impact of water-soluble atmospheric iron on formation, growth and aging of secondary organic aerosol (SOA) is a controversial subject in the literature. Iron chemistry drives Fenton-like reactions in the aqueous phase which is dependent on pH. Flow reactor experiments in the dark and under humid conditions were conducted to investigate systematically the influence of ferrous iron in the aqueous phase on α-pinene SOA by online physical analysis and offline high-resolution mass spectrometry. In total 31 flow reactor experiments were conducted in four sets of experiments. All SMPS data and mass spectra in negative mode are uploaded sorted by set of experiments and figures in the paper. You can find the workflow of SMPS data analysis as well as the retention times of the target analysis in the paper and SI.
DOI: 10.5281/zenodo.12582478
title: Impact of atmospheric water-soluble iron on α-pinene-derived SOA formation and transformation in the presence of aqueous droplets

description: The following data sets belong to the article "Impact of atmospheric water-soluble iron on α-pinene-derived SOA formation and transformation in the presence of aqueous droplets" The impact of water-soluble atmospheric iron on formation, growth and aging of secondary organic aerosol (SOA) is a controversial subject in the literature. Iron chemistry drives Fenton-like reactions in the aqueous phase which is dependent on pH. Flow reactor experiments in the dark and under humid conditions were conducted to investigate systematically the influence of ferrous iron in the aqueous phase on α-pinene SOA by online physical analysis and offline high-resolution mass spectrometry. In total 31 flow reactor experiments were conducted in four sets of experiments. All SMPS data and mass spectra in negative mode are uploaded sorted by set of experiments and figures in the paper. You can find the workflow of SMPS data analysis as well as the retention times of the target analysis in the paper and SI.
DOI: 10.5281/zenodo.12608993
title: Project Tycho Level 2 data: Counts of multiple diseases reported in UNITED STATES OF AMERICA, 1888-2014

description: Project Tycho data include counts of infectious disease cases or deaths per time interval. A count is equivalent to a data point.
Project Tycho level 2 version 1.1.0 data include data counts that have been filtered from the raw data to render standardized data that can be used immediately for analysis. All level 2 data were originally reported in a consistent format and have not been transformed into a standard format by Project Tycho staff, except for smallpox records that included repeated counts for the same location and week, but sometimes with different numbers. These duplicate smallpox records have been averaged into one count for each location and week. Level 2 data include counts for a wide variety of diseases and locations for varying time periods. Because we removed data in an inconsistent format from level 2 data, counts may be missing for certain diseases, locations, or years. For the most complete collection of standardized data, we encourage users to use Project Tycho version 2.0 datasets.
More detailed methods and additional information about the origin of Projec Tycho level 2 version 1.1.0 data can be found in our original publication in the New England Journal of Medicine: http://www.nejm.org/doi/full/10.1056/NEJMms1215400
Level 2 version 1.1.0 data is represented in a CSV file with 11 columns:

epi_week: a six digit number that represents the year and epidemiological week for which disease cases or deaths were reported (yyyyww)
country: a two digit country abbreviation, only including "US" in version 1.1.0
state: the two digit postal code state abbreviation that represents the state for which a count has been reported
loc: the name of a state or city for which a count has been reported, capitalized
loc_type: the type of location (STATE or CITY) for which a count has been reported
disease: the disease for which a count has been reported, in all capitals
event: an indicator representing the disease outcome reported, including "CASES" or "DEATHS"
number: the reported number of cases or deaths
from_date: the start date of the time interval for which a count was reported, as yyyy-mm-dd
to_date: the end date of the time interval for which a count was reported, as yyyy-mm-dd
url: the URL of the source document from which the count was obtained
DOI: 10.5281/zenodo.12608994
title: Project Tycho Level 2 data: Counts of multiple diseases reported in UNITED STATES OF AMERICA, 1888-2014

description: Project Tycho data include counts of infectious disease cases or deaths per time interval. A count is equivalent to a data point.
Project Tycho level 2 version 1.1.0 data include data counts that have been filtered from the raw data to render standardized data that can be used immediately for analysis. All level 2 data were originally reported in a consistent format and have not been transformed into a standard format by Project Tycho staff, except for smallpox records that included repeated counts for the same location and week, but sometimes with different numbers. These duplicate smallpox records have been averaged into one count for each location and week. Level 2 data include counts for a wide variety of diseases and locations for varying time periods. Because we removed data in an inconsistent format from level 2 data, counts may be missing for certain diseases, locations, or years. For the most complete collection of standardized data, we encourage users to use Project Tycho version 2.0 datasets.
More detailed methods and additional information about the origin of Projec Tycho level 2 version 1.1.0 data can be found in our original publication in the New England Journal of Medicine: http://www.nejm.org/doi/full/10.1056/NEJMms1215400
Level 2 version 1.1.0 data is represented in a CSV file with 11 columns:

epi_week: a six digit number that represents the year and epidemiological week for which disease cases or deaths were reported (yyyyww)
country: a two digit country abbreviation, only including "US" in version 1.1.0
state: the two digit postal code state abbreviation that represents the state for which a count has been reported
loc: the name of a state or city for which a count has been reported, capitalized
loc_type: the type of location (STATE or CITY) for which a count has been reported
disease: the disease for which a count has been reported, in all capitals
event: an indicator representing the disease outcome reported, including "CASES" or "DEATHS"
number: the reported number of cases or deaths
from_date: the start date of the time interval for which a count was reported, as yyyy-mm-dd
to_date: the end date of the time interval for which a count was reported, as yyyy-mm-dd
url: the URL of the source document from which the count was obtained
DOI: 10.6084/m9.figshare.26139649
title: Supplementary Table 3.docx

description: <b>Supplementary Table 3. </b>List of 100 <i>P. aeruginosa </i>transcripts profiled in the GeoMx experiments and corresponding Nanostring detection probes.
DOI: 10.6084/m9.figshare.26139649.v1
title: Supplementary Table 3.docx

description: <b>Supplementary Table 3. </b>List of 100 <i>P. aeruginosa </i>transcripts profiled in the GeoMx experiments and corresponding Nanostring detection probes.
DOI: 10.6084/m9.figshare.26139652.v1
title: Supplementary Table 4.xlsx

description: <b>Supplementary Table 4</b>. Enrichment analysis reflecting <i>P. aeruginosa </i>PAO1 bacterial transcript fold changes at 24h post-challenge.
DOI: 10.6084/m9.figshare.26139652
title: Supplementary Table 4.xlsx

description: <b>Supplementary Table 4</b>. Enrichment analysis reflecting <i>P. aeruginosa </i>PAO1 bacterial transcript fold changes at 24h post-challenge.
DOI: 10.5281/zenodo.12608991
title: Project Tycho Level 1 data: Counts of multiple diseases reported in UNITED STATES OF AMERICA, 1916-2011

description: Project Tycho data include counts of infectious disease cases or deaths per time interval. A count is equivalent to a data point. Project Tycho level 1 data include data counts that have been standardized for a specific, published, analysis. Standardization of level 1 data included representing various types of data counts into a common format and excluding data counts that are not required for the intended analysis. In addition, external data such as population data may have been integrated with disease data to derive rates or for other applications.
Version 1.0.0 of level 1 data includes counts at the state level for smallpox, polio, measles, mumps, rubella, hepatitis A, and whooping cough and at the city level for diphtheria. The time period of data varies per disease somewhere between 1916 and 2011. This version includes cases as well as incidence rates per 100,000 population based on historical population estimates. These data have been used by investigators at the University of Pittsburgh to estimate the impact of vaccination programs in the United States, published in the New England Journal of Medicine: http://www.nejm.org/doi/full/10.1056/NEJMms1215400. See this paper for additional methods and detail about the origin of level 1 version 1.0.0 data.
Level 1 version 1.0.0 data is represented in a CSV file with 7 columns:

epi_week: a six digit number that represents the year and epidemiological week for which disease cases or deaths were reported (yyyyww)
state: the two digit postal code state abbreviation that represents the state for which a count has been reported
loc: the name of a state or city for which a count has been reported, capitalized
loc_type: the type of location (STATE or CITY) for which a count has been reported
disease: the disease for which a count has been reported: HEPATITIS A, MEASLES, MUMPS, PERTUSSIS, POLIO, RUBELLA, SMALLPOX, or DIPHTHERIA
cases: the number of cases reported for the specified disease, epidemiological week, and location
incidence_per_100000: the number of cases per 100,000 people, computed using historical population counts for cities and states as reported by the US Census Bureau
DOI: 10.5281/zenodo.12608992
title: Project Tycho Level 1 data: Counts of multiple diseases reported in UNITED STATES OF AMERICA, 1916-2011

description: Project Tycho data include counts of infectious disease cases or deaths per time interval. A count is equivalent to a data point. Project Tycho level 1 data include data counts that have been standardized for a specific, published, analysis. Standardization of level 1 data included representing various types of data counts into a common format and excluding data counts that are not required for the intended analysis. In addition, external data such as population data may have been integrated with disease data to derive rates or for other applications.
Version 1.0.0 of level 1 data includes counts at the state level for smallpox, polio, measles, mumps, rubella, hepatitis A, and whooping cough and at the city level for diphtheria. The time period of data varies per disease somewhere between 1916 and 2011. This version includes cases as well as incidence rates per 100,000 population based on historical population estimates. These data have been used by investigators at the University of Pittsburgh to estimate the impact of vaccination programs in the United States, published in the New England Journal of Medicine: http://www.nejm.org/doi/full/10.1056/NEJMms1215400. See this paper for additional methods and detail about the origin of level 1 version 1.0.0 data.
Level 1 version 1.0.0 data is represented in a CSV file with 7 columns:

epi_week: a six digit number that represents the year and epidemiological week for which disease cases or deaths were reported (yyyyww)
state: the two digit postal code state abbreviation that represents the state for which a count has been reported
loc: the name of a state or city for which a count has been reported, capitalized
loc_type: the type of location (STATE or CITY) for which a count has been reported
disease: the disease for which a count has been reported: HEPATITIS A, MEASLES, MUMPS, PERTUSSIS, POLIO, RUBELLA, SMALLPOX, or DIPHTHERIA
cases: the number of cases reported for the specified disease, epidemiological week, and location
incidence_per_100000: the number of cases per 100,000 people, computed using historical population counts for cities and states as reported by the US Census Bureau
DOI: 10.6084/m9.figshare.26139655.v1
title: Supplementary Table 2.xlsx

description: <b>Supplementary Table 2. </b>List of genes differentially expressed in infected epithelial and stromal ROIs when comparing 48-hour infection to 24-hour infection.
DOI: 10.6084/m9.figshare.26139655
title: Supplementary Table 2.xlsx

description: <b>Supplementary Table 2. </b>List of genes differentially expressed in infected epithelial and stromal ROIs when comparing 48-hour infection to 24-hour infection.
DOI: 10.6084/m9.figshare.26139643
title: Supplementary Table 1.xlsx

description: <b>Supplementary Table 1. </b>Host-specific transcriptional changes induced by infection at 24 hours ost-challenge. This includes GO enrichment analysis results (Supplementary data to Figure 1D).
DOI: 10.6084/m9.figshare.26139643.v1
title: Supplementary Table 1.xlsx

description: <b>Supplementary Table 1. </b>Host-specific transcriptional changes induced by infection at 24 hours ost-challenge. This includes GO enrichment analysis results (Supplementary data to Figure 1D).
DOI: 10.34740/kaggle/dsv/8833743
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.6084/m9.figshare.26139646
title: Supplementary Table 5.xlsx

description: <b>Supplementary Table 5. </b>Enrichment analysis reflecting <i>P. aeruginosa </i>PA14 bacterial transcript fold changes at 48h post-challenge.
DOI: 10.6084/m9.figshare.26139646.v1
title: Supplementary Table 5.xlsx

description: <b>Supplementary Table 5. </b>Enrichment analysis reflecting <i>P. aeruginosa </i>PA14 bacterial transcript fold changes at 48h post-challenge.
DOI: 10.15468/dl.cfsvga
title: Occurrence Download

description: A dataset containing 399286376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ruprechtia albida Pendry, Ruprechtia aperta Pendry, Ruprechtia apetala Wedd., Ruprechtia chiapensis Lundell ex Standl. & Steyerm., Ruprechtia coriacea (H.Karst.) S.F.Blake, Ruprechtia costaricensis Pendry, Ruprechtia costata Meisn., Ruprechtia cruegeri Griseb. ex Lindau, Ruprechtia fagifolia Meisn., Ruprechtia fusca Fernald, Ruprechtia laevigata Pendry, Ruprechtia latifunda Pendry, Ruprechtia laxiflora Meisn., Ruprechtia lundii Meisn., Ruprechtia nicaraguensis Pendry, Ruprechtia obovata Pendry, Ruprechtia pallida Standl., Ruprechtia ramiflora (Jacq.) C.A.Mey., Ruprechtia salicifolia (Cham. & Schltdl.) C.A.Mey., Ruprechtia tenuiflora Benth., Tracheophyta, Triplaris cumingiana Fisch. & C.A.Mey. ex C.A.Mey., Triplaris dugandii Brandbyge, Triplaris gardneriana Wedd., Triplaris longifolia Huber, Triplaris melaenodendron (Bertol.) Standl. & Steyerm., Triplaris peruviana Fisch. & C.A.Mey. ex C.A.Mey., Triplaris poeppigiana Wedd., Triplaris punctata Standl., Triplaris purdiei Meisn., Triplaris setosa Rusby, Triplaris weigeltiana (Rchb.) Kuntze)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 399286376 records from 12669 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007036-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-25595
title: Examiner serial, Greatest story ever told, Fulton Oursler, 1951

description: 8 images. Examiner serial, Greatest story ever told, Fulton Oursler, 03 December 1951. Copy negatives of Chapter 8, 9, 10, 13.
DOI: 10.15468/dl.td3f4t
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "License is CC-BY 4.0",
 "TaxonKey is Sironidae"
 ]
}

 The dataset includes 177 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195847-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgghrc
title: Occurrence Download

description: A dataset containing 10512 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cinclodes excelsior P.L.Sclater, 1860"
 ]
}

 The dataset includes 10512 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022007-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-26030
title: Divorce, 1951

description: 3 images. Divorce, 20 November 1951. Helen O'Connell, singer, getting divorce; Joanne Dru, actress, witness.; Caption slip reads: "Photographer: Gaze. Date: 1951-11-20. Reporter: Gaze. Assignment: Helen O'Connell divorce. #18-24: L to R: Singer Helen O'Connell, who won interlocutory decree of divorce from Clifford Smith Jr. today and Actress Joanne Dru, her cooborating (sic) witness. #23: L to R: Joanne Dru and Helen O'Connell. All pictures made in corridor outside Superior Judge Orlando Rhodes' courtroom".
DOI: 10.15468/dl.oejmia
title: Occurrence Download

description: A dataset containing 3342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vespa velutina Lepeletier, 1836"
 ]
}

 The dataset includes 3342 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055848-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft3yxg
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Abies nebrodensis (Lojac.) Mattei",
 "Year 1914-2022"
 ]
}

 The dataset includes 47 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0195856-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/examiner-c44-26166
title: Turkey Dinner at Salvation Army Day Nursery (836 Stanford Avenue), 1951

description: 6 images. Turkey Dinner at Salvation Army Day Nursery (836 Stanford Avenue), 21 November 1951. Mrs. Mildred Straight (Cook); Darlene Ortez -- 4 years; David Laird -- 4 years; David Duran -- 2 1/2 years.
DOI: 10.15468/dl.c9nytk
title: Occurrence Download

description: A dataset containing 9973 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cranioleuca curtata (P.L.Sclater, 1870)"
 ]
}

 The dataset includes 9973 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022094-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ul97ig
title: Occurrence Download

description: A dataset containing 82605 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Merops apiaster Linnaeus, 1758"
 ]
}

 The dataset includes 82605 records from 137 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055849-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.