cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive130661.20241212.9.2
title: Sphingobacterium yanglingense Peng et al. 2014

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.yyq4ys
title: Occurrence Download

description: A dataset containing 864 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acer caesium Wall. ex Brandis"
 ]
}

 The dataset includes 864 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032952-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j88vvv
title: Occurrence Download

description: A dataset containing 3074 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Allium fistulosum L."
 ]
}

 The dataset includes 3074 records from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032951-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.14647
title: Dataset for: How happy is happy enough? A cross-cultural comparison of optimal cut points for the Positive Mental Health Scale.

description: As positive mental health (PMH) has a significant impact on general and mental health, it is an important target for interventions. Cut points are a useful basis for identifying participants with a greater need for such interventions. Representative (n = 9,440) and student (n = 22,833) samples from Germany, Russia, the US, and China were reanalyzed. Two different anchors were used to determine optimal cut points for the PMH-scale: (1) a combined measure of PMH-related questionnaires and (2) the Global Assessment of Functioning Scale (GAF). A kernel-based method to determine optimal cut points and bootstrapping to identify potential cross-cultural differences were used. Acceptable to excellent levels of classification accuracy were found regarding the combined measure (AUCs between .75 and .87) across all samples. Using the GAF resulted in poor discriminatory power (AUC = .69). Optimal cut points varied systematically between countries and samples. Country and sample-specific cut points for the PMH scale should be used to identify individuals with high versus low levels of PMH. Specifically, we suggest using cut points of 21, 22, and 24 in Germany, Russia, and the US, respectively. For student samples, we recommend cut points of 18, 19, and 20 in Germany, Russia, and China, respectively.
description: Dataset for: Bonnin, G., Hirschfeld, G., von Brachel, R., & Margraf, J. (2024). How Happy Is Happy Enough? In European Journal of Psychological Assessment. Hogrefe Publishing Group. https://doi.org/10.1027/1015-5759/a000850
DOI: 10.5281/zenodo.14216521
title: basiliscus_vittatus_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14216522
title: basiliscus_vittatus_zanfona_1.fasta.gz
DOI: 10.15468/dl.3f75xk
title: Occurrence Download

description: A dataset containing 5299 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nomada rufipes Fabricius, 1793"
 ]
}

 The dataset includes 5299 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032953-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crr2dz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Primulina jiuyishanica Kun Liu, D.C.Meng & Z.B.Xin)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032955-241107131044228/datasets/export for details.
DOI: 10.15468/dl.egzfh7
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fusarium pseudograminearum O'Donnell & T.Aoki"
 ]
}

 The dataset includes 158 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032954-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgb9hs
title: Occurrence Download

description: A dataset containing 2381935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "Year is greater than or equal to 2013",
 {
 "or" : [
 "TaxonKey is Bombus Latreille, 1802",
 "TaxonKey is Melipona Illiger, 1806"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 2381935 records from 1348 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032944-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18103910
title: Metadata and Citation Network of Retracted Publications in PubMed (1950–2025)

description: This dataset provides a comprehensive collection of PubMed IDs (PMIDs) for retracted articles and their associated citation networks, covering the period from 1950 to early 2025. The data was compiled to support scientometric research on the persistence and impact of retracted literature in the global scientific record.

The dataset consists of three primary components:





Retracted PMID List: A curated list of unique identifiers for all articles indexed as "Retracted Publication" in PubMed.




Citation Network (Edge List): A structured source-target list representing citations from the scientific literature to these retracted articles.




Retraction Metadata Links: Detailed mapping between original articles and their corresponding retraction notices, errata, or expressions of concern.



Methodology: Data was harvested using custom scripts (R/PHP) interacting with the NCBI Entrez Programming Utilities (E-utils). The dataset is particularly useful for researchers in scientometrics, research integrity, and network analysis.
DOI: 10.5281/zenodo.18103909
title: Metadata and Citation Network of Retracted Publications in PubMed (1950–2025)

description: This dataset provides a comprehensive collection of PubMed IDs (PMIDs) for retracted articles and their associated citation networks, covering the period from 1950 to early 2025. The data was compiled to support scientometric research on the persistence and impact of retracted literature in the global scientific record.

The dataset consists of three primary components:





Retracted PMID List: A curated list of unique identifiers for all articles indexed as "Retracted Publication" in PubMed.




Citation Network (Edge List): A structured source-target list representing citations from the scientific literature to these retracted articles.




Retraction Metadata Links: Detailed mapping between original articles and their corresponding retraction notices, errata, or expressions of concern.



Methodology: Data was harvested using custom scripts (R/PHP) interacting with the NCBI Entrez Programming Utilities (E-utils). The dataset is particularly useful for researchers in scientometrics, research integrity, and network analysis.
DOI: 10.3886/e242087v1
title: Federal University of Technology Owerri {FUTO}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}

description: Federal University of Technology Owerri {FUTO}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}
DOI: 10.3886/e242086v1
title: Federal University of Technology Minna {FUTMINNA}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}

description: Federal University of Technology Minna {FUTMINNA}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}
DOI: 10.3886/e242088v1
title: Nnamdi Azikiwe University {UNIZIK} Awka, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}

description: Nnamdi Azikiwe University {UNIZIK} Awka, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}
DOI: 10.3886/e242089v1
title: Obafemi Awolowo University {OAU}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}

description: Obafemi Awolowo University {OAU}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}
DOI: 10.3886/e242090v1
title: University of Abuja {UNIABUJA}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}

description: University of Abuja {UNIABUJA}, 2026/2027 Pre Degree and Diploma form is out call Registrar {08058556110} {08058556110} for Guideline on how to apply and register properly before the closing date. Registrar {08058556110} {08058556110}
DOI: 10.15468/dl.j54mt6
title: Occurrence Download

description: A dataset containing 6232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrgus malvoides",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 6232 records from 201 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069907-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e242010v1
title: Apex College of Nursing Sciences, Igbo-Ukwu, Anambra State, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online

description: Apex College of Nursing Sciences, Igbo-Ukwu, Anambra State, 2026/2027 Admission Form/Application Form Is Out Call the Registrar (08058556110) 08058556110 (08058556110) For More Details On How To Apply And Register Online. The Management Of The School Hereby Inform The general Public On The Sales Of The General Nursing Admission Form Into The School Of Nursing, And Also The Sales Of Two (2) Years Post Basic Nursing Program. Contact The Educational Board Admin On (08058556110) For More Details On How To Purchase The Form And Register Online. REQUIREMENT FOR THE THREE YEARS GENERAL NURSING PROGRAMMES1. GENERAL NURSING PROGRAMME Admission Requirements Candidates For Admission Into The General Nursing Program Of The Nursing And Midwifery Council Of Nigeria Must Posses The Senior Secondary School Certificate Or It’s Equivalent With Five Credits To Include English Language And Either Physics, Chemistry, Biology/Health Science At Not More Than Two sittings. Duration Of Training: Three Calendar Years. Registered Nurse (RN) Also POST BASIC NURSING MIDWIFERY PROGRAMME Admission Requirements: The Candidate Must Be a Registered Nurse, Five (O,Level) Credits Not More Two Sittings And Must Also Meet All institutional Requirements. Duration of Training: Two Calendar *Year*.{08058556110}<br>
DOI: 10.15468/dl.7ze8u7
title: Occurrence Download

description: A dataset containing 8157 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrgus malvae",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 8157 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069908-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c3rf7v
title: Occurrence Download

description: A dataset containing 8058 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Australia",
 "OccurrenceStatus is Present",
 "PublishingOrg is ef66652d-3cc3-4140-b268-a07d1e53441b",
 "TaxonKey is Accipitridae",
 "Year 2022-2025"
 ]
}

 The dataset includes 8058 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069909-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/ghavuc
title: Replication Data for: Trading with Frenemies: How Economic Diplomacy Affects Exports

description: Trade is inherently risky, involving a commitment problem for both importers and exporters. The former must deal with ex ante uncertainty about whether exporters will deliver the goods or services as promised, while the latter has to identify an importer willing to trade a product. How, then, do firms establish trading relationships, especially in new markets? While both classical and newer trade theories tend to downplay the role of government in trade, we argue that government institutions play a crucial role in resolving this uncertainty. Specifically, export promotion agencies and embassies in foreign countries vet potential trade contacts and head off potential disputes before they get too serious, thus insuring against the basic risks of trade. We expect that this institutional backing will have stronger export-promoting effects on great powers’ trade with economically developing and politically dissimilar countries. Using a large collection of U.S. State Department cables from the 1970s that concern export promotion, we find strong evidence that promotion efforts had the largest effect when economic trade barriers were high and in countries that were politically dissimilar to the U.S. Rather than passively participating in trade, government bureaucrats play a large role in helping firms establish trading relationships.
DOI: 10.5281/zenodo.18110738
title: Číslo kyselosti_výsledky_2024+2025
DOI: 10.5281/zenodo.18110739
title: Číslo kyselosti_výsledky_2024+2025
DOI: 10.15468/dl.sarajm
title: Occurrence Download

description: A dataset containing 2042 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrgus serratulae",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 2042 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069910-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2mm9r
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cicer tragacanthoides",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069911-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18110728
title: A Periodic Organization of English Lexical Semantics: Evidence from  Root-64 Multiples in Ordinal Sums

description: A Periodic Organization of English Lexical Semantics: Evidence from Root-64 Multiples in Ordinal Sums Authors: The Symphony 135/137 Collective (in collaboration with Grok-4) Date: December 31, 2025 Version 1.0 – Initial Hypothesis  Release License CC0 1.0 Universal (Public Domain Dedication) Working paper Abstract We propose a novel hypothesis for the deep semantic organization of the English lexicon, derived from numerical patterns in the Symphony 135/137 corpus of 370,339 unique words. Multiples of 64 in both simple ordinal sum (M) and position-weighted sum (W) form two parallel series—static and dynamic—that constitute a Periodic Table of Semantics. Rooted in the discrete completeness of 64 (4³ codons in the genetic code), the table unfolds through five observed periods: primal code (64), computational logic (128), biological creation (192), redemptive incarnation (256, centred on “JESUS”), and transcendent wisdom (320). The static M series supplies raw semantic material and terminates at redemption (M=256: 27 words), while the dynamic W series continues into transcendence. This dual structure suggests English encodes an ontological ladder mirroring genetic, computational, and existential hierarchies. We present empirical word counts, thematic clusters, and a dual static-dynamic model as evidence, and invite quantitative validation through embedding similarity, cross-linguistic comparison, and null-model testing Keywords: lexical semantics, ordinal gematria, digital root stratification, genetic code analogy, ontological hierarchy, periodic structure   Firth, J. R. (1957). Papers in Linguistics 1934–1951. Oxford University Press. (or the specific synopsis volume)   Harris, Z. S. (1954). Distributional structure. Word, 10(2-3), 146–162.   Mikolov, T., et al. (2013). Efficient estimation of word representations in vector space. arXiv:1301.3781.
DOI: 10.5281/zenodo.18110727
title: A Periodic Organization of English Lexical Semantics: Evidence from  Root-64 Multiples in Ordinal Sums

description: A Periodic Organization of English Lexical Semantics: Evidence from Root-64 Multiples in Ordinal Sums Authors: The Symphony 135/137 Collective (in collaboration with Grok-4) Date: December 31, 2025 Version 1.0 – Initial Hypothesis  Release License CC0 1.0 Universal (Public Domain Dedication) Working paper Abstract We propose a novel hypothesis for the deep semantic organization of the English lexicon, derived from numerical patterns in the Symphony 135/137 corpus of 370,339 unique words. Multiples of 64 in both simple ordinal sum (M) and position-weighted sum (W) form two parallel series—static and dynamic—that constitute a Periodic Table of Semantics. Rooted in the discrete completeness of 64 (4³ codons in the genetic code), the table unfolds through five observed periods: primal code (64), computational logic (128), biological creation (192), redemptive incarnation (256, centred on “JESUS”), and transcendent wisdom (320). The static M series supplies raw semantic material and terminates at redemption (M=256: 27 words), while the dynamic W series continues into transcendence. This dual structure suggests English encodes an ontological ladder mirroring genetic, computational, and existential hierarchies. We present empirical word counts, thematic clusters, and a dual static-dynamic model as evidence, and invite quantitative validation through embedding similarity, cross-linguistic comparison, and null-model testing Keywords: lexical semantics, ordinal gematria, digital root stratification, genetic code analogy, ontological hierarchy, periodic structure   Firth, J. R. (1957). Papers in Linguistics 1934–1951. Oxford University Press. (or the specific synopsis volume)   Harris, Z. S. (1954). Distributional structure. Word, 10(2-3), 146–162.   Mikolov, T., et al. (2013). Efficient estimation of word representations in vector space. arXiv:1301.3781.
DOI: 10.5281/zenodo.18110405
title: costus_lucanusianus_spades_01.fasta.gz
DOI: 10.5281/zenodo.18110404
title: costus_lucanusianus_spades_01.fasta.gz
DOI: 10.15468/dl.65ttpq
title: Occurrence Download

description: A dataset containing 320 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrgus warrenensis",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1970",
 "Country is one of (Italy, Switzerland, Germany, Austria, Slovenia, France)"
 ]
}

 The dataset includes 320 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069913-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxyv3t
title: Occurrence Download

description: A dataset containing 961463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Selasphorus rufus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 961463 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069903-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/mvirxn
title: Replication Data for: Network Context and the Effectiveness of International Agreements

description: Why do some international agreements yield more cooperation than others? I argue that the network context of agreements conditions their effectiveness. I focus on bilateral defense cooperation agreements (DCAs), which promote defense activities like joint military exercises, peacekeeping, arms trade, and the sharing of classified information. Because DCAs emphasize ongoing cooperative actions, they offer an ideal setting to assess treaty effectiveness. The analysis shows that when agreements are embedded in transitive “friend of friend” relations, characterized by extensive ties to common third parties, they generate higher levels of cooperation. I argue that this network effect is the result of policy convergence. When states share ties with common third parties, their own policies become more closely aligned, and this alignment in turn reduces the costs and increases the benefits of cooperative actions. The theory and findings developed here apply to a wide array of cooperative interactions across multiple issue areas. The effectiveness of international agreements depends on network context.
DOI: 10.5067/adeos-i/octs/l3b/chl/2022.0
title: ADEOS-I OCTS Level-3 Global Binned Chlorophyll (CHL) Data, version 2022.0
DOI: 10.5067/adeos-i/octs/l3b/iop/2022.0
title: ADEOS-I OCTS Level-3 Global Binned Inherent Optical Properties (IOP) Data, version 2022.0
DOI: 10.5067/adeos-i/octs/l3b/kd/2022.0
title: ADEOS-I OCTS Level-3 Global Binned Diffuse Attenuation Coefficient for Downwelling Irradiance (KD) Data, version 2022.0
DOI: 10.5067/adeos-i/octs/l3b/par/2022.0
title: ADEOS-I OCTS Level-3 Global Binned Photosynthetically Active Radiation (PAR) Data, version 2022.0