cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/xmm5-4v08
title: Nelson Lake plant macrofossil dataset

description: Raw data for the Nelson Lake plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.bfnguz
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cephaloscyllium pictum Last, Séret & White, 2008"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021063-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/4m8y-vh63
title: New Croton Reservoir diatom surface sample dataset

description: Raw data for the New Croton Reservoir diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.57841/casdc.0005431
title: 激酶-磷酸酶转录因子调控拟南芥根下胚轴节点不定根发生机制
DOI: 10.21233/rc8q-je06
title: Blue Lake Wetlands pollen dataset

description: Raw data for the Blue Lake Wetlands pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.zayshy
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mytella strigata (Hanley, 1843)"
 ]
}

 The dataset includes 318 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021065-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/ybqr-ca35
title: ELA 115 (Enache et al 2011) diatom dataset

description: Raw data for the ELA 115 (Enache et al 2011) diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.n6vdgt
title: Occurrence Download

description: A dataset containing 35675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anthemis cotula L."
 ]
}

 The dataset includes 35675 records from 1018 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021064-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/rz3f-t740
title: Upper Pahranagat Lake water chemistry dataset

description: Raw data for the Upper Pahranagat Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/q77g-nv67
title: Tannersville Bog testate amoebae surface sample dataset

description: Raw data for the Tannersville Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9sfa-d651
title: Bois de Bilanko pollen dataset

description: Raw data for the Bois de Bilanko pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/m9zf-zz14
title: Milk Lake diatom surface sample dataset

description: Raw data for the Milk Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/phs4-0b11
title: Lac Suprin pollen surface sample dataset

description: Raw data for the Lac Suprin pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.rzympt
title: Occurrence Download

description: A dataset containing 3848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Vincetoxicum rossicum (Kleopow) Barbar.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Canada",
 "Year is one of (1900, 1901, 1902, 1903, 1904, 1905, 1906, 1907, 1908, 1909, 1910, 1911, 1912, 1913, 1914, 1915, 1916, 1917, 1918, 1919, 1920, 1921, 1922, 1923, 1924, 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935, 1936, 1937, 1938, 1939, 1940, 1941, 1942, 1943, 1944, 1945, 1946, 1947, 1948, 1949, 1950, 1951, 1952, 1953, 1954, 1955, 1956, 1957, 1958, 1959, 1960, 1961, 1962, 1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024)"
 ]
}

 The dataset includes 3848 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021066-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/x7g1-nd54
title: CHUS11 pollen surface sample dataset

description: Raw data for the CHUS11 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/gm0s-1y60
title: LDDsite3550 ostracode surface sample dataset

description: Raw data for the LDDsite3550 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/g24m-3v63
title: Chalk Bluff Rockshelter macroinvertebrate dataset

description: Raw data for the Chalk Bluff Rockshelter macroinvertebrate dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/yx2j-t272
title: Labaz lake pollen dataset

description: Raw data for the Labaz lake pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/1dsp-at13
title: Waneta Lake water chemistry dataset

description: Raw data for the Waneta Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/gvk8-r723
title: Ballyduff pollen dataset

description: Raw data for the Ballyduff pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/p80p-zb12
title: Trälhultet pollen dataset

description: Raw data for the Trälhultet pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/h1pk-a630
title: LDDsite1827 ostracode surface sample dataset

description: Raw data for the LDDsite1827 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/he0j-5335
title: Union Pond water chemistry dataset

description: Raw data for the Union Pond water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/e2vm-zc08
title: Mississippi Lake ostracode surface sample dataset

description: Raw data for the Mississippi Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/b2sp-9154
title: Gull Lake ostracode surface sample dataset

description: Raw data for the Gull Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/mx4c-6q39
title: Sidney Bog testate amoebae surface sample dataset

description: Raw data for the Sidney Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/91yx-xp26
title: Swiftcurrent Creek ostracode surface sample dataset

description: Raw data for the Swiftcurrent Creek ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ge73-rp83
title: Sturgeon River water chemistry dataset

description: Raw data for the Sturgeon River water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.34810/data37/1
title: Martinez-Subira_et_al_2021_Foods_2021_10.tab

description: :unav
DOI: 10.34810/data37/2
title: readme.txt

description: :unav
DOI: 10.15468/dl.t938df
title: Occurrence Download

description: A dataset containing 471 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is iNaturalist Research-grade Observations",
 "IucnRedListCategory is NE",
 "TaxonKey is Themeda triandra Forssk.",
 "Year 2024-2025"
 ]
}

 The dataset includes 471 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021068-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12565594
title: BizDevOps Business Capability Research

description: Release:



BizDevOps Business Capability
DOI: 10.5281/zenodo.12578915
title: BizDevOps Business Capability Research

description: Release:



Update data
DOI: 10.6084/m9.figshare.28955354
title: Date of Carbon Monoxide Cycling in the Marginal Sea.xlsx

description: Date for Carbon Monoxide Cycling in the Marginal Sea
DOI: 10.21233/pkvh-wk18
title: LDDsite3621 water chemistry dataset

description: Raw data for the LDDsite3621 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.28955336
title: Data The Impact of Family Cultural Capital on Pragmatic Ability The Multiple Mediating Roles of Executive Function and Social Competence.docx

description:  This dataset accompanies the study “The Impact of Family Cultural Capital on Pragmatic Ability: The Multiple Mediating Roles of Executive Function and Social Competence.” It comprises cross-sectional survey and observational data from a stratified sample of 244 Mandarin-speaking 3–6-year-olds in Fujian Province, China (data collection July–August 2024).
<strong>Contents:</strong>

 <strong>Demographics</strong>
 
 <code>Gender</code>: Male / Female
 <code>Grade</code>: Lower (3–4 yrs), Middle (4–5 yrs), Upper (5–6 yrs)
 
 
 <strong>Family Cultural Capital (FCC)</strong>
 
 Institutionalized Capital
 Embodied Capital
 Objectified Capital
 Total FCC Score
 
 
 <strong>Executive Function (EF)</strong>
 
 Inhibitory Control
 Working Memory
 Cognitive Flexibility
 Total EF Score
 
 
 <strong>Social Competence (SC, via CIAS)</strong>
 
 Social Initiative
 Verbal & Non-verbal Communication
 Prosocial Behavior
 Social Disorder (reverse-scored)
 Total SC Score
 
 
 <strong>Pragmatic Ability (via POM)</strong>
 
 Introduction & Responsiveness
 Non-verbal Communication
 Social-emotional Attunement
 Metapragmatic Competence
 Negotiation Skills
 Total Pragmatic Score
 
 
 <strong>Scale Properties</strong>
 
 Descriptive statistics (mean, SD) for each subscale and total scores
 Cronbach’s α for all scales and subscales (all ≥ 0.80)
 Confirmatory Factor Analysis fit indices (χ²/df, RMSEA, CFI, TLI all within recommended thresholds)
 
 
 <strong>Structural Equation Model Results</strong>
 
 Overall fit: χ²/df = 1.67; RMSEA = 0.052; CFI = 0.953; TLI = 0.943
 Standardized path coefficients and significance (e.g., FCC → EF β = 0.425, p &lt; 0.001; EF → SC β = 0.471, p &lt; 0.001; etc.
 Bootstrap mediation results (total indirect effect = 0.346, representing 73% of the total effect)
 
 

<strong>Notes:</strong>

 All items were scored on a 5-point Likert scale (higher = greater level of capital or ability).
 Teacher ratings (EF, SC, Pragmatic Ability) and parent questionnaires (FCC) were collected, double-checked for missing or uniform responses, and cleaned to yield 244 complete cases.
 This dataset enables replication of the reported mediation model and further secondary analyses of how family cultural capital operates through cognitive and social pathways to shape pragmatic language development in early childhood.
DOI: 10.5281/zenodo.13592138
title: Glosario: A multilingual glossary for computing and data science terms.

description: glosario is an open-source glossary of terms used in data science that is available online and also as a library in both R and Python. By adding glossary keys to a lesson’s metadata, authors can indicate what the lesson teaches, what learners ought to know before they start, and where they can go to find that knowledge. Authors can also use the library’s functions to insert consistent hyperlinks for terms and definitions in their lessons in any of several languages. The master copy of the glossary lives in the glossary.yml file. 
description: To advance data science knowledge and accessibility for our diverse community, we have developed Glosario, a multilingual glossary of data science terms. The easiest way to contribute is to use our Google Form, which does not require any technical experience.

If you are comfortable using GitHub, you can also contribute there. You do not need to know any programming language — a basic familiarity with the GitHub web interface is sufficient. We have prepared a detailed and accessible guide to assist you. To support contributors further, we have also created short YouTube videos demonstrating how to contribute:



Recording in English

Recording in Español

or you can Auto Translate a YouTube Video into your Language


Contributions are welcome in any language, not only those currently represented in the glossary. If you need help with your contribution, you can ask questions in the #glosario Slack channel or email us at community@carpentries.org. If you are not yet a member of The Carpentries Slack, you may request access here.
description: The Carpentries would like to express our gratitude to all the collaborators who have contributed to Glosario. You can view the full list of contributors here: Glosario Contributors.
DOI: 10.5281/zenodo.14266397
title: Glosario: A multilingual glossary for computing and data science terms.

description: glosario is an open-source glossary of terms used in data science that is available online and also as a library in both R and Python. By adding glossary keys to a lesson’s metadata, authors can indicate what the lesson teaches, what learners ought to know before they start, and where they can go to find that knowledge. Authors can also use the library’s functions to insert consistent hyperlinks for terms and definitions in their lessons in any of several languages. The master copy of the glossary lives in the glossary.yml file. 
description: To advance data science knowledge and accessibility for our diverse community, we have developed Glosario, a multilingual glossary of data science terms. The easiest way to contribute is to use our Google Form, which does not require any technical experience.

If you are comfortable using GitHub, you can also contribute there. You do not need to know any programming language — a basic familiarity with the GitHub web interface is sufficient. We have prepared a detailed and accessible guide to assist you. To support contributors further, we have also created short YouTube videos demonstrating how to contribute:



Recording in English

Recording in Español

or you can Auto Translate a YouTube Video into your Language


Contributions are welcome in any language, not only those currently represented in the glossary. If you need help with your contribution, you can ask questions in the #glosario Slack channel or email us at community@carpentries.org. If you are not yet a member of The Carpentries Slack, you may request access here.
description: The Carpentries would like to express our gratitude to all the collaborators who have contributed to Glosario. You can view the full list of contributors here: Glosario Contributors.
DOI: 10.5281/zenodo.14958421
title: Glosario: A multilingual glossary for computing and data science terms.

description: glosario is an open-source glossary of terms used in data science that is available online and also as a library in both R and Python. By adding glossary keys to a lesson’s metadata, authors can indicate what the lesson teaches, what learners ought to know before they start, and where they can go to find that knowledge. Authors can also use the library’s functions to insert consistent hyperlinks for terms and definitions in their lessons in any of several languages. The master copy of the glossary lives in the glossary.yml file. 
description: To advance data science knowledge and accessibility for our diverse community, we have developed Glosario, a multilingual glossary of data science terms. The easiest way to contribute is to use our Google Form, which does not require any technical experience.

If you are comfortable using GitHub, you can also contribute there. You do not need to know any programming language — a basic familiarity with the GitHub web interface is sufficient. We have prepared a detailed and accessible guide to assist you. To support contributors further, we have also created short YouTube videos demonstrating how to contribute:



Recording in English

Recording in Español

or you can Auto Translate a YouTube Video into your Language


Contributions are welcome in any language, not only those currently represented in the glossary. If you need help with your contribution, you can ask questions in the #glosario Slack channel or email us at community@carpentries.org. If you are not yet a member of The Carpentries Slack, you may request access here.
description: The Carpentries would like to express our gratitude to all the collaborators who have contributed to Glosario. You can view the full list of contributors here: Glosario Contributors.
DOI: 10.21233/nn47-pc78
title: Walker (covnty) diatom bottom sample dataset

description: Raw data for the Walker (covnty) diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/y8yp-h438
title: Julianadorp bouwput genie pollen dataset

description: Raw data for the Julianadorp bouwput genie pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.