cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17906912
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2025-12-12 — cumulative data.
DOI: 10.17026/ar/to7mv2
title: PAN-00095928 - axe

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00095928&lt;/p&gt;
description: Modified: 2025-07-04T15:12:14+02:00
DOI: 10.17026/ar/pyhoqc
title: PAN-00071574 - Roman conical spindle whorl (metal)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00071574&lt;/p&gt;
description: Modified: 2025-10-13T10:16:14+02:00
DOI: 10.17026/ar/oraplj
title: PAN-00162036 - smelt waste or lump of copper-alloy

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00162036&lt;/p&gt;
description: Modified: 2025-05-06T11:37:51+02:00
DOI: 10.5281/zenodo.17906947
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.5281/zenodo.17906946
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.5281/zenodo.17906913
title: MODERN DEVELOPMENT TRENDS IN ANALYTICAL CHEMISTRY.

description: This article provides a systematic analysis of the modern development trends in analytical chemistry, highlights the strengths and weaknesses of current technologies, and evaluates future prospects.
DOI: 10.5281/zenodo.17906914
title: MODERN DEVELOPMENT TRENDS IN ANALYTICAL CHEMISTRY.

description: This article provides a systematic analysis of the modern development trends in analytical chemistry, highlights the strengths and weaknesses of current technologies, and evaluates future prospects.
DOI: 10.48320/5dbc7921-d11b-4458-ad9c-16b92b2641fd
title: NDI: Public attitudes in Georgia (2014-2023)
DOI: 10.17026/ar/rdamye
title: PAN-00178327 - stern rudder (wood)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00178327&lt;/p&gt;
description: Modified: 2025-08-12T10:43:46+02:00
DOI: 10.5281/zenodo.17906954
title: NDI: Public attitudes in Georgia (2014-2023)

description: NDI: Public Attitudes in Georgia – Summary of All Waves

The NDI Public Attitudes in Georgia surveys are recurring national studies aimed at understanding the political views, priorities, and social attitudes of Georgian citizens aged 18 and older. Conducted regularly since 2014, these surveys use a mix of face-to-face and telephone interviews, covering a representative sample across regions, urban/rural areas, and minority populations. The results help inform public discourse, policymaking, and international organizations on the evolving attitudes of the Georgian public.

Objective:
To assess knowledge and attitudes of Georgia's adult population (18+) towards political issues and current events.

Population:
Nationwide adult population, excluding residents in conflict-affected regions (Abkhazia and South Ossetia).

Survey Coverage (Geographic Representation):

2020–2023: Tbilisi, urban, and rural areas.

2017–2019: Tbilisi, large/small urban, rural, and minority settlements.

2015–2016: Tbilisi, urban, rural, and minority settlements; some waves include self-governing cities and regions.

2014: Wide representation including 12 self-governing cities and both East/West Georgia.

Sampling Methods:

CATI (Telephone, Random Digit Dialing):
Used mostly between 2020 and 2023.

CAPI (Face-to-Face, Cluster Sampling):
Used in most waves before 2020, and also in select waves in 2022–2023.

Sample Sizes:

Range: From ~1,000 (e.g., March 2023) to over 4,400 (e.g., August 2015).

Typical recent size (2020–2023): Around 2,000 respondents per wave.

Response Rates Over Time:

Recent years (2020–2023): 14%–35%

Earlier years (2014–2017): Up to 75%

Trend: Gradual decline in response rate over time, especially with shift to telephone interviews.

Languages Used in Interviews:

Most recent years: Georgian, Armenian, Azerbaijani, and Russian.

Earlier years (2014–2015): Primarily Georgian.

Data Notes:

All results are weighted.

Contact for further info: Tinatin Bandzeladze – t.bandzeladze@crrccenters.org
description: Published on Discuss Data, https://discuss-data.net/dataset/5dbc7921-d11b-4458-ad9c-16b92b2641fd/
description: Method(s) of data collection: Cati (Computer-Assisted Telephone Interviews), Face-To-Face Survey, Quantitative Survey
DOI: 10.5281/zenodo.17906955
title: NDI: Public attitudes in Georgia (2014-2023)

description: NDI: Public Attitudes in Georgia – Summary of All Waves

The NDI Public Attitudes in Georgia surveys are recurring national studies aimed at understanding the political views, priorities, and social attitudes of Georgian citizens aged 18 and older. Conducted regularly since 2014, these surveys use a mix of face-to-face and telephone interviews, covering a representative sample across regions, urban/rural areas, and minority populations. The results help inform public discourse, policymaking, and international organizations on the evolving attitudes of the Georgian public.

Objective:
To assess knowledge and attitudes of Georgia's adult population (18+) towards political issues and current events.

Population:
Nationwide adult population, excluding residents in conflict-affected regions (Abkhazia and South Ossetia).

Survey Coverage (Geographic Representation):

2020–2023: Tbilisi, urban, and rural areas.

2017–2019: Tbilisi, large/small urban, rural, and minority settlements.

2015–2016: Tbilisi, urban, rural, and minority settlements; some waves include self-governing cities and regions.

2014: Wide representation including 12 self-governing cities and both East/West Georgia.

Sampling Methods:

CATI (Telephone, Random Digit Dialing):
Used mostly between 2020 and 2023.

CAPI (Face-to-Face, Cluster Sampling):
Used in most waves before 2020, and also in select waves in 2022–2023.

Sample Sizes:

Range: From ~1,000 (e.g., March 2023) to over 4,400 (e.g., August 2015).

Typical recent size (2020–2023): Around 2,000 respondents per wave.

Response Rates Over Time:

Recent years (2020–2023): 14%–35%

Earlier years (2014–2017): Up to 75%

Trend: Gradual decline in response rate over time, especially with shift to telephone interviews.

Languages Used in Interviews:

Most recent years: Georgian, Armenian, Azerbaijani, and Russian.

Earlier years (2014–2015): Primarily Georgian.

Data Notes:

All results are weighted.

Contact for further info: Tinatin Bandzeladze – t.bandzeladze@crrccenters.org
description: Published on Discuss Data, https://discuss-data.net/dataset/5dbc7921-d11b-4458-ad9c-16b92b2641fd/
description: Method(s) of data collection: Cati (Computer-Assisted Telephone Interviews), Face-To-Face Survey, Quantitative Survey
DOI: 10.15468/dl.y3f5vq
title: Occurrence Download

description: A dataset containing 12376 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UNH - Coastal New England MBON - Atlantic cod"
 ]
}

 The dataset includes 12376 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048641-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17906943
title: FI_Dataset
DOI: 10.5281/zenodo.17906971
title: THE SCIENTIFIC AND THEORETICAL FOUNDATIONS OF MODELING EXPERIMENTAL PROCESSES BASED ON ARTIFICIAL INTELLIGENCE

description: This article examines the scientific and theoretical foundations of modeling experimental processes using artificial intelligence (AI). It provides a comprehensive analysis of how AI technologies enable the reconstruction of experimental systems in digital environments, the development of virtual models that closely resemble real conditions, and the prediction of probabilistic outcomes under complex interactions. Machine learning, mathematical modeling, statistical analysis, digital twin technology, neural networks, and algorithmic forecasting are discussed as modern methodological tools that significantly enhance research efficiency. The article highlights the relevance and importance of AI-based experimental modeling, identifies existing challenges, explores scientifically grounded solutions, and proposes recommendations for further development.
DOI: 10.5281/zenodo.17906942
title: FI_Dataset
DOI: 10.5281/zenodo.17906970
title: THE SCIENTIFIC AND THEORETICAL FOUNDATIONS OF MODELING EXPERIMENTAL PROCESSES BASED ON ARTIFICIAL INTELLIGENCE

description: This article examines the scientific and theoretical foundations of modeling experimental processes using artificial intelligence (AI). It provides a comprehensive analysis of how AI technologies enable the reconstruction of experimental systems in digital environments, the development of virtual models that closely resemble real conditions, and the prediction of probabilistic outcomes under complex interactions. Machine learning, mathematical modeling, statistical analysis, digital twin technology, neural networks, and algorithmic forecasting are discussed as modern methodological tools that significantly enhance research efficiency. The article highlights the relevance and importance of AI-based experimental modeling, identifies existing challenges, explores scientifically grounded solutions, and proposes recommendations for further development.
DOI: 10.5281/zenodo.17777725
title: Wavelength-specific Urban Nighttime Light Modulates Expressed Sentiment Across China

description: The code used to generate the results of the study titled "Wavelength-specific Urban Nighttime Light Modulates Expressed Sentiment Across China"

The data required to execute the code is detailed in the 'Data Availability' section of the manuscript. Due to file size limitations exceeding upload restrictions, and given that all necessary data is publicly available, please download the relevant Weibo data and TIFF files. Once the data is organized into the directory structure specified in the code, the script can be executed

Correspondence should be addressed to Chaoqun Zhang (cqzhang@mail.bnu.edu.cn) or Ziyue Chen (zychen@bnu.edu.cn).
DOI: 10.5281/zenodo.15166453
title: Wavelength-specific Urban Nighttime Light Modulates Expressed Sentiment Across China

description: The code used to generate the results of the study titled "Wavelength-specific Urban Nighttime Light Modulates Expressed Sentiment Across China"

The data required to execute the code is detailed in the 'Data Availability' section of the manuscript. Due to file size limitations exceeding upload restrictions, and given that all necessary data is publicly available, please download the relevant Weibo data and TIFF files. Once the data is organized into the directory structure specified in the code, the script can be executed

Correspondence should be addressed to Chaoqun Zhang (cqzhang@mail.bnu.edu.cn) or Ziyue Chen (zychen@bnu.edu.cn).
DOI: 10.17026/ar/jsxqof
title: PAN-00180232 - breast pin

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180232&lt;/p&gt;
description: Modified: 2025-09-30T16:05:27+02:00
DOI: 10.15468/dl.ptqzet
title: Occurrence Download

description: A dataset containing 127931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Nucifraga columbiana)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 127931 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048633-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/c4h3-r651
title: "Sealdah Suburban division timetable, Rake link and operational data logs for Jan to Jun, 2023"

description: "This image contains views of the different datasets used in this research. The timetable, rake link and operational data logs are csv files, whereas the network topology is a networkx multidigraph, saved as a pickle file and displayed using networkx library. "
DOI: 10.17026/ar/pax8or
title: PAN-00106013 - coin/coin-related, Tetricus I (271-274), naar, antoninianus

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00106013&lt;/p&gt;
description: Modified: 2025-06-02T07:47:04+02:00
DOI: 10.15468/dl.8rq26s
title: Occurrence Download

description: A dataset containing 1217821 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1217821 records from 2361 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048630-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p39umr
title: Occurrence Download

description: A dataset containing 248 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Eleutherodactylus wightmanae Schmidt, 1920"
 ]
}

 The dataset includes 248 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024216-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgvce8
title: Occurrence Download

description: A dataset containing 2626 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Salix nigra Marshall",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2626 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033635-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha5ezu
title: Occurrence Download

description: A dataset containing 277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Perdix perdix (Linnaeus, 1758)",
 "Year 1989-1989"
 ]
}

 The dataset includes 277 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155446-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sqcara
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arctostaphylos cratericola (Donn.Sm.) Donn.Sm."
 ]
}

 The dataset includes 131 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0146798-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.enzcja
title: Occurrence Download

description: A dataset containing 678 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bufo japonicus Temminck & Schlegel, 1838"
 ]
}

 The dataset includes 678 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024240-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.appzqn
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Dendroctonus valens LeConte, 1859",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 193 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033636-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqpe46
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Perdix perdix (Linnaeus, 1758)",
 "Year 1993-1993"
 ]
}

 The dataset includes 635 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0155454-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98s4vy
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium stenolobum C.Chr."
 ]
}

 The dataset includes 36 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030944-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/4779892
title: [🍅Rotten Tomatoes] Toy Story Movies 1-4 Reviews
DOI: 10.15468/dl.czd0s8
title: Occurrence Download

description: A dataset containing 6375 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-180 20,180 20,180 90,-180 90,-180 20))",
 "HasCoordinate is true",
 "TaxonKey is Ursus americanus Pallas, 1780",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6375 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033639-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mj886
title: Occurrence Download

description: A dataset containing 2677 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Ecuador",
 "Country is Brazil",
 "Country is Argentina",
 "Country is Panama",
 "Country is Colombia",
 "Country is Venezuela (Bolivarian Republic of)",
 "Country is Guyana",
 "Country is Peru"
 ]
 },
 "TaxonKey is Harpia harpyja (Linnaeus, 1758)"
 ]
}

 The dataset includes 2677 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184878-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vdb8az
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hibiscus mandrarensis Humbert ex Hochr."
 ]
}

 The dataset includes 68 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021098-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbsp48
title: Occurrence Download

description: A dataset containing 1520 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sceloporus nelsoni Cochran, 1923"
 ]
}

 The dataset includes 1520 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033642-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wgzqzj
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Machine Observation"
 ]
 },
 "Geometry POLYGON((-65.83008 -60.19616,-16.34766 -60.67318,-15.11719 -42.81152,-13.71094 -12.89749,-31.28906 10.83331,-43.24219 24.84657,-38.32031 36.87962,-25.83984 65.58572,-36.38672 67.54217,-47.63672 67.54217,-68.68652 67.25506,-69.16992 65.54937,-77.21191 64.68032,-78.00293 63.33241,-77.3877 62.20651,-72.68555 59.04055,-70.13672 53.85253,-76.24512 48.95137,-78.83789 41.83683,-82.44141 37.30028,-95.80078 33.57801,-101.77734 27.21556,-98.10791 18.16673,-94.81201 17.28771,-90.06592 14.96601,-87.60498 15.00846,-85.18799 13.94473,-84.35303 10.2933,-82.33154 8.68964,-81.10107 8.47237,-80.52979 8.6462,-79.29932 9.25394,-78.46436 8.9936,-77.03613 7.4932,-69.60937 2.1089,-50.97656 -14.26438,-68.99414 -40.5138,-72.1582 -51.01375,-68.4668 -54.41893,-65.83008 -60.19616))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Anasterias studeri Perrier, 1891"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188728-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.