cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28691960
title: Monsoon Climate and Anthropogenic Influences Shape Primate Distributions across the Southeastern Edge of the Qinghai-Tibet Plateau

description: Abstract The southeastern edge of the Qinghai-Tibet Plateau (Yunnan, China) exhibits high biodiversity but stark differences in species richness between its western Longitudinal Range Gorge (LRG) and eastern Yunnan Plateau (YP). We collected distribution data for 16 primate species in Yunnan and analyzed palynological records over the past 20 ka from 21 localities to identify the biogeographic, climatic, and anthropogenic factors that have driven the present-day distribution of primates in this region. By integrating local ecological records, field surveys, species distribution models, niche utilization rates, and historical vegetation and land use changes, we found that spatial-temporal shifts in monsoonal climate have been a critical factor in shaping primate species richness on the southeastern edge of the Qinghai-Tibet Plateau. Compared to the YP, the LRG receives more precipitation, has more limited seasonal temperature variation, and has higher minimum temperature of coldest month. These conditions have facilitated the development of moist evergreen deciduous forests, which represent a more suitable habitat for the 14 primate species that inhabit this area. In contrast, the drought-adapted forests of the YP support only one primate species. Palynological records indicate that the differentiation of the LRG and YP predates human influence. However, over the past 2,000 years, anthropogenic habitat loss and hunting have significantly affected the distribution of primates. The ranges of gibbons, langurs, and snub-nosed monkeys are now restricted to the central and northern regions of the LRG and have disappeared from lower elevations. Lorises have disappeared from their northernmost range. In contrast, the distribution of macaques has remained relatively stable. The Yangtze-Red River-24°N line marks the biogeographic boundary of high primate species richness and biodiversity in the LRG and southeastern Yunnan. Our research suggests that changes in monsoon climate have fundamentally shaped contemporary species richness, while recent anthropogenic pressures have caused 'range contraction' for many taxa.
DOI: 10.6084/m9.figshare.28692125
title: Species distributions (SDMs)

description: This dataset compiles the results of potential distribution modeling for the three seahorse species found in Brazil (<i>Hippocampus reidi</i>, <i>Hippocampus erectus</i>, and <i>Hippocampus patagonicus</i>). The models were generated using the <b>ENMTML</b> package in R, incorporating multiple machine learning algorithms and ensemble techniques to enhance predictive robustness.The models were calibrated using occurrence records from public databases and scientific literature, combined with marine environmental variables such as sea surface temperature, salinity, and primary productivity. The goal was to identify suitable areas for each species, supporting conservation planning and management efforts.The available files include:<b>Predictive maps</b> of the potential distribution of each species.<b>Raster layers</b> with weighted mean ensemble model outputs.<b>Model performance metrics</b> for evaluation.<b>Script</b> detailing the analytical procedures.This dataset is valuable for researchers studying seahorse ecology and conservation, as well as for environmental managers seeking spatially explicit information on these species.
DOI: 10.15468/dl.m8nqte
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Revision of the leafhopper genus Okubasca Dworakowska (Hemiptera: Cicadellidae: Typhlocybinae), with description of a new species from kiwifruit in China"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006688-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rwkeem
title: Occurrence Download

description: A dataset containing 6282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Nuphar lutea (L.) Sibth. & Sm."
 ]
}

 The dataset includes 6282 records from 301 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006689-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmnwb9
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Regulus regulus sanctaemariae Vaurie, 1954",
 "Year 1975-2025"
 ]
}

 The dataset includes 61 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006691-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sh3jb
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-33.97689 34.73452,-19.73564 34.73452,-19.73564 41.26282,-33.97689 41.26282,-33.97689 34.73452))",
 "HasGeospatialIssue is false",
 "TaxonKey is Regulus regulus sanctaemariae Vaurie, 1954",
 "Year 1975-2025"
 ]
}

 The dataset includes 61 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006692-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15106501
title: NRevisit: A Cognitive Behavioral Metric for Code Understandability Assessment

description: This dataset supports the research on NRevisit, a novel cognitive-behavioral metric designed to assess code understandability. The study integrates EEG and eye-tracking data to analyze developer cognition while performing code comprehension tasks. The dataset contains raw and preprocessed EEG signals, eye-tracking recordings, and code region mappings used in the study.

Contents

The dataset includes:





EEG Data: Preprocessed signals from 35 participants performing 4 randomized code tasks.




Eye-Tracking Data: Gaze coordinates and fixation durations mapped to code regions.




Code Regions: Defined areas of interest within the experimental code snippets.




Survey Responses: Developer background and experience assessment.



Data Collection and Preprocessing

EEG preprocessing was conducted using EEGLAB in MATLAB, including:





High-pass filtering (1Hz), low-pass filtering (40Hz)




ICA-based artifact removal




Average referencing



Eye-tracking data was calibrated against code task images to ensure accuracy.

Usage

This dataset can be used for:





Replicating and validating code understandability experiments




Developing new cognitive-behavioral metrics for software engineering




Enhancing AI models for predicting developer cognitive load



Access & Citation

To ensure transparency and reproducibility, this dataset follows Open Science principles and is made publicly available. Please cite this dataset using the DOI provided by Zenodo.
DOI: 10.5281/zenodo.15106502
title: NRevisit: A Cognitive Behavioral Metric for Code Understandability Assessment

description: This dataset supports the research on NRevisit, a novel cognitive-behavioral metric designed to assess code understandability. The study integrates EEG and eye-tracking data to analyze developer cognition while performing code comprehension tasks. The dataset contains raw and preprocessed EEG signals, eye-tracking recordings, and code region mappings used in the study.

Contents

The dataset includes:





EEG Data: Preprocessed signals from 35 participants performing 4 randomized code tasks.




Eye-Tracking Data: Gaze coordinates and fixation durations mapped to code regions.




Code Regions: Defined areas of interest within the experimental code snippets.




Survey Responses: Developer background and experience assessment.



Data Collection and Preprocessing

EEG preprocessing was conducted using EEGLAB in MATLAB, including:





High-pass filtering (1Hz), low-pass filtering (40Hz)




ICA-based artifact removal




Average referencing



Eye-tracking data was calibrated against code task images to ensure accuracy.

Usage

This dataset can be used for:





Replicating and validating code understandability experiments




Developing new cognitive-behavioral metrics for software engineering




Enhancing AI models for predicting developer cognitive load



Access & Citation

To ensure transparency and reproducibility, this dataset follows Open Science principles and is made publicly available. Please cite this dataset using the DOI provided by Zenodo.
DOI: 10.15468/dl.mwvrma
title: Occurrence Download

description: A dataset containing 0 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '7b492540-e944-4d90-bf12-cbe82532c3c1'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 0 records were derived from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006690-250325103851331/datasets/export for details.
DOI: 10.15468/dl.pkpakb
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-22.49081 33.30761,23.49081 33.30761,23.49081 51.69239,-22.49081 51.69239,-22.49081 33.30761))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Valeriana apula Pourr.",
 "Year 1980-2010"
 ]
}

 The dataset includes 83 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006693-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15108605
title: DATA
DOI: 10.5281/zenodo.15108606
title: DATA
DOI: 10.5281/zenodo.15108383
title: Skot4 upon learned people. From Shimkevich to Nazarenko [Скот4 по ученым людям: от Шимкевича до Назаренко]

description: This is a presentation of my conference talk given 09 June 2022 at the Vinogradov Institute of Russian language in Moscow. The conference was dedicated to the memory of Alexander V. Nazarenko (1948 – 2022).

I discuss an important observation made by Nazarenko (2012) about the special use of the Russian word skotъ, which assumes a borrowed meaning 'money, tax' owing to the influence Old Scandinavian word skattR. A similar observation has been made in a different context by the Russian linguist of the early XIX century, Fyodor S. Shimkevitsch (1802 – 1843). Both Shimkevitsch and Nazarenko developed a correct intuition concerning the relation of the Old Russian and Old Scandinavian words, since they read both Old Russian and Old Scandinavian texts and compared them directly. My own contribution to this tradition is the proof that the word  skotъ4 = 'money' has been borrowed into the Old Novgorod dialect of Russian but was generally avoided in bookish texts including the First Novgorod Chronicle since it was considered colloquial if not vulgar. A remarkable exception is the 1018 episode with Prince Jaroslav and posadnik Konstantin who collected tax (нача емати скотъ4) and hired a Varangian army. This episode has clear Novgorod roots. Скотъ4 is also documented in the earliest layers of "Russkaja Pravda", which originated as an oral text and was influenced by the Varangian oral law.

Comments. 



The title of the talk refers to the Old Russian collocation скотъ по людям '<to collect> tax upon people' attested in the 1018 AD episode from the First Novgorod Chronicle. Shimkevich and Nazarenko both contributed to the understanding of this episode and clarifying the meaning of the word skotъ in it. Since I collect opinions and interpretations of my prominent predecessors, I kinda collect tax from the learned people.

The index skotъ4 for the meaning 'money, tax' has been introduced in the Dictionary of the Russian Language of the XI - XVII century. I adopt it and prove formally that the Old Russian word skotъ was polysemous. 

This is a substantially revised version of the talk I gave in December 2021 at the Institute of Slavic Studies, see here: https://zenodo.org/records/14990682  . This version has a new preambulum with the discussion of Nazarenko's proposal (slides 3 to 15), a brief discussion of some issues related to the versions of 'Russkaja Pravda' (slides 22,  32, 45) and added references to the scholarly works by Nazarenko, Tolochko and Kuleshov. At the same time, this 2022 version drops the parts of the 2021 talk devoted to Indo-European etymologies.  

New finds of Novgorod birch bark letters (2022 - 2024) seem to support the view that the word skotъ4 was colloquial-to-vulgar in the medieval Novgorod.
DOI: 10.5281/zenodo.15108382
title: Skot4 upon learned people. From Shimkevich to Nazarenko [Скот4 по ученым людям: от Шимкевича до Назаренко]

description: This is a presentation of my conference talk given 09 June 2022 at the Vinogradov Institute of Russian language in Moscow. The conference was dedicated to the memory of Alexander V. Nazarenko (1948 – 2022).

I discuss an important observation made by Nazarenko (2012) about the special use of the Russian word skotъ, which assumes a borrowed meaning 'money, tax' owing to the influence Old Scandinavian word skattR. A similar observation has been made in a different context by the Russian linguist of the early XIX century, Fyodor S. Shimkevitsch (1802 – 1843). Both Shimkevitsch and Nazarenko developed a correct intuition concerning the relation of the Old Russian and Old Scandinavian words, since they read both Old Russian and Old Scandinavian texts and compared them directly. My own contribution to this tradition is the proof that the word  skotъ4 = 'money' has been borrowed into the Old Novgorod dialect of Russian but was generally avoided in bookish texts including the First Novgorod Chronicle since it was considered colloquial if not vulgar. A remarkable exception is the 1018 episode with Prince Jaroslav and posadnik Konstantin who collected tax (нача емати скотъ4) and hired a Varangian army. This episode has clear Novgorod roots. Скотъ4 is also documented in the earliest layers of "Russkaja Pravda", which originated as an oral text and was influenced by the Varangian oral law.

Comments. 



The title of the talk refers to the Old Russian collocation скотъ по людям '<to collect> tax upon people' attested in the 1018 AD episode from the First Novgorod Chronicle. Shimkevich and Nazarenko both contributed to the understanding of this episode and clarifying the meaning of the word skotъ in it. Since I collect opinions and interpretations of my prominent predecessors, I kinda collect tax from the learned people.

The index skotъ4 for the meaning 'money, tax' has been introduced in the Dictionary of the Russian Language of the XI - XVII century. I adopt it and prove formally that the Old Russian word skotъ was polysemous. 

This is a substantially revised version of the talk I gave in December 2021 at the Institute of Slavic Studies, see here: https://zenodo.org/records/14990682  . This version has a new preambulum with the discussion of Nazarenko's proposal (slides 3 to 15), a brief discussion of some issues related to the versions of 'Russkaja Pravda' (slides 22,  32, 45) and added references to the scholarly works by Nazarenko, Tolochko and Kuleshov. At the same time, this 2022 version drops the parts of the 2021 talk devoted to Indo-European etymologies.  

New finds of Novgorod birch bark letters (2022 - 2024) seem to support the view that the word skotъ4 was colloquial-to-vulgar in the medieval Novgorod.
DOI: 10.15468/dl.264czx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pseudomonas syringae van Hall, 1902",
 "Year 2015-2025"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006694-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnn8tt
title: Occurrence Download

description: A dataset containing 3500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-33.0727 35.34709,-22.28468 35.34709,-22.28468 40.68022,-33.0727 40.68022,-33.0727 35.34709))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pyrrhula murina Godman, 1866",
 "Year 1975-2025"
 ]
}

 The dataset includes 3500 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006695-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5rqscw
title: Occurrence Download

description: A dataset containing 2136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-34.41057 34.4108,-18.05799 34.4108,-18.05799 41.72666,-34.41057 41.72666,-34.41057 34.4108))",
 "HasGeospatialIssue is false",
 "TaxonKey is Balaenoptera borealis Lesson, 1828",
 "Year 1975-2025"
 ]
}

 The dataset includes 2136 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006696-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3rdbz
title: Occurrence Download

description: A dataset containing 2146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-34.27311 34.46107,-17.71158 34.46107,-17.71158 41.45585,-34.27311 41.45585,-34.27311 34.46107))",
 "HasGeospatialIssue is false",
 "TaxonKey is Bulweria bulwerii (Jardine & Selby, 1828)",
 "Year 1975-2025"
 ]
}

 The dataset includes 2146 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006697-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sa88m8
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Maxillaria caespitifica Rchb.f."
 ]
}

 The dataset includes 53 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006700-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se7z99
title: Occurrence Download

description: A dataset containing 614 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-33.93173 34.29314,-19.31327 34.29314,-19.31327 41.86246,-33.93173 41.86246,-33.93173 34.29314))",
 "HasGeospatialIssue is false",
 "TaxonKey is Puffinus puffinus (Brunnich, 1764)",
 "Year 1975-2025"
 ]
}

 The dataset includes 614 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006701-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hphhkg
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-22.94458 25.02944,61.94458 25.02944,61.94458 58.97056,-22.94458 58.97056,-22.94458 25.02944))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Scandix australis L.",
 "Year 1980-2010"
 ]
}

 The dataset includes 323 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006702-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k87tdk
title: Occurrence Download

description: A dataset containing 2404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amanoa Aubl."
 ]
}

 The dataset includes 2404 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006703-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28692179
title: expert_dpail.png

description: test
DOI: 10.6084/m9.figshare.28692179.v1
title: expert_dpail.png

description: test
DOI: 10.15468/dl.n3g92x
title: Occurrence Download

description: A dataset containing 140859 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus (Skuse, 1894)"
 ]
}

 The dataset includes 140859 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006699-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3awju
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((102.21298 20.86901,105.93245 20.86901,105.93245 22.43227,102.21298 22.43227,102.21298 20.86901))",
 "TaxonKey is Ophryophryne pachyproctus Kou, 1985"
 ]
}

 The dataset includes 318 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050103-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.