cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.cjsxksnfp
title: Data from: Modeling the distribution and environmental preferences of the Ladakh urial in the arid Himalayas

description: Mountains play a crucial role in shaping the climate of an area and
 subsequently, the environments and species that are suited to those
 particular conditions. Understanding the relationships between
 environmental conditions and their influence on the occurrence of a
 species is necessary to make informed decisions when conserving relevant
 habitats. This study evaluated and compared the potential for different
 interactions between climatic variables to describe the environmental
 preferences and the range of the Ladakh urial, a narrowly distributed
 sub-species of Ovis vignei, in the arid Himalayas. Species distribution
 models were created from spatially thinned presence-only occurrence data
 of 50 locations using a Maximum Entropy (Maxent) model. For this, we
 subdivided the modeled distribution into environmental categories with
 varying degrees of suitability. We identified a high cold precipitation to
 annual precipitation ratio typical of cold desert climates well suited to
 describe the highest quality environments for urial. The inverse, low warm
 precipitation to annual precipitation ratio was found to better describe
 the urial’s range at the lower end of potential habitat. In this
 comparison, we observed that with the exclusion of unsuitable cold steppe
 habitat with a higher warm precipitation to annual precipitation ratio, we
 were able to refine the extent of this species range but at a trade-off to
 the accurate description of high quality environments. This study
 demonstrated the strong potential of cold arid climatic conditions to
 describe the distribution of urial in India which have implications for
 identifying important areas for the conservation and management of the
 species in the high altitude rangelands of Ladakh.
description: # Distribution of Ladakh Urial in Western Himalayas
 [https://doi.org/10.5061/dryad.cjsxksnfp](https://doi.org/10.5061/dryad.cjsxksnfp) #### Urial Location Data The Ladakh urial presence-only occurrence data were collected through visual surveys and recorded as decimal degree coordinates. Spatial thinning using the R package spThin eliminated locations within a prescribed distance of one another (Aiello-Lammens et al., 2015; R Core Team, 2021). #### Descriptions * All_Lat: all occurrence latitudes * All_Long: all occurrence longitudes  * SPEC: Ladakh Urial * Lat: spatially thinned occurrence latitudes  * Long: spatially thinned occurrence longitudes  #### References  Aiello-Lammens, M. E., Boria, R. A., Radosavljevic, A., Vilela, B. (2015). “spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models.” Ecography, 38(5), 541–545. R Core Team (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
DOI: 10.15468/dl.h4gqzh
title: Occurrence Download

description: A dataset containing 1643 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Dermoptera [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 1643 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004037-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.ngf1vhj3c
title: A new cicada (Hemiptera: Cicadidae) species from Brazil with a detailed description of the genus Parnisa Stål, 1862 and key to the known species

description: The new cicada species Parnisa infuscata n. sp. is described, along with
 its calling song, from Minas Gerais State in Brazil. The genus Parnisa
 Stål, 1862 is redescribed to provide additional details on its
 morphology since the abbreviated original generic description was based
 only on a few wing characters. A key for the 14 known species
 of the genus is provided.
description: # A new cicada (Hemiptera: Cicadidae) species from Brazil with a detailed
 description of the genus Parnisa Stål, 1862 and key to the known species
 [https://doi.org/10.5061/dryad.ngf1vhj3c](https://doi.org/10.5061/dryad.ngf1vhj3c) ## Supplementary Material Raw audio files of calling songs of *Parnisa infuscata* **n. sp.** that were analysed in the paper describing this new species from Minas Gerais, Brazil: Supplemental Material S1. Audio recording (.wav) of *Parnisa infuscata* **n. sp.** singing at Serra do Cipó, Minas Gerais, Brazil (15 January 2009, ASEC 17845). Recorded by L.P. Gonzaga.  Supplemental Material S2. Audio recording (.wav) of *Parnisa infuscata* **n. sp.** singing at Serra do Cipó, Minas Gerais, Brazil (15 January 2009, ASEC 17846). Recorded by L.P. Gonzaga.  Supplemental Material S3. Audio recording (.wav) of *Parnisa infuscata* **n. sp.** singing at Serra do Cipó, Minas Gerais, Brazil (15 January 2009, ASEC 17847). Recorded by L.P. Gonzaga.  Supplemental Material S4. Audio recording (.wav) of *Parnisa infuscata* **n. sp.** singing at Serra do Cipó, Minas Gerais, Brazil (15 January 2009, ASEC 17894). Recorded by L.P. Gonzaga. Video recording of *Parnisa infuscata* **n. sp. **singing at Itambé National Park.   Supplemental Material S5. Video recording (.mp4) of *Parnisa infuscata* **n. sp.** singing at Itambé State Park, Minas Gerais, Brazil (19 April 2023). Recorded by L.P. Gonzaga. Photograph of live specimen of *Parnisa infuscata* **n. sp.**, new species described in the present paper. Supplemental Material S6. Photograph (.jpg) of live specimen of *Parnisa infuscata* **n. sp.** at Itambé State Park, Minas Gerais, Brazil (19 April 2023). Taken by L.P. Gonzaga.
DOI: 10.5281/zenodo.18404593
title: Frame Sorting Dataset - Short Duration Videos

description: Video frames extracted from short duration videos (under 10 seconds) for temporal frame ordering experiments. Contains extracted frames organized by video ID.
DOI: 10.5281/zenodo.18404594
title: Frame Sorting Dataset - Short Duration Videos

description: Video frames extracted from short duration videos (under 10 seconds) for temporal frame ordering experiments. Contains extracted frames organized by video ID.
DOI: 10.5061/dryad.jdfn2z3k4
title: Data from: Neural interactions in the human frontal cortex dissociate reward and punishment learning

description: How human prefrontal and insular regions interact while maximizing rewards
 and minimizing punishments is unknown. Capitalizing on human intracranial
 recordings, we demonstrate that the functional specificity toward reward
 or punishment learning is better disentangled by interactions compared to
 local representations. Prefrontal and insular cortices display
 non-selective neural populations to reward and punishment. The
 non-selective responses, however, give rise to context-specific interareal
 interactions. We identify a reward subsystem with redundant interactions
 between the orbitofrontal and ventromedial prefrontal cortices, with a
 driving role of the latter. In addition, we find a punishment subsystem
 with redundant interactions between the insular and dorsolateral cortices,
 with a driving role of the insula. Finally, switching between reward and
 punishment learning is mediated by synergistic interactions between the
 two subsystems. These results provide a unifying explanation of
 distributed cortical representations and interactions supporting reward
 and punishment learning.
description: # Data from: Neural interactions in the human frontal cortex dissociate
 reward and punishment learning
 [https://doi.org/10.5061/dryad.jdfn2z3k4](https://doi.org/10.5061/dryad.jdfn2z3k4) Preprocessed data containing intracranial EEG high-gamma activity during a probabilistic learning task ## Data organisation The data are organized into three folders : \- **power :** netcdf files of gamma power of individual subjects. Each matrix has a shape of `(n_{trials}, n_{roi}, n_{times})`. When loading this file using Xarray, each dimension of the matrix contains the labels (i.e. whether it's a rewarding or punishing trial, the channel name and time points). \- **behavior :** behavioral xlsx of length `(n_{trials},)`. This table contains the values of the prediction error during the rewarding and punishing conditions. \- **anatomy :** xlsx file of length `(n_{roi},)` containing anatomical information (i.e. the name of the brain region) of each recording contact. To load the gamma power using Python we recommend using the Xarray python : \```python import xarray as xr data = xr.load_dataarray(".../power_subject-X.nc") ### Code/Software The Python scripts and notebooks to reproduce the results presented here are hosted on Github ([https://github.com/brainets/papercode/tree/main/combrisson_pblt_2024](https://github.com/brainets/papercode/tree/main/combrisson_pblt_2024)).
DOI: 10.15468/dl.nahp55
title: Occurrence Download

description: A dataset containing 4176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Geometry POLYGON((-123.98433 31.55862,-113.01268 31.55862,-113.01268 42.8616,-123.98433 42.8616,-123.98433 31.55862))",
 "HasGeospatialIssue is false",
 "TaxonKey is Puma concolor",
 "Year 2001-2026"
 ]
}

 The dataset includes 4176 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004038-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14655780
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5061/dryad.djh9w0w7r
title: Data from: Bristol stool scale: Patient versus expert score data

description: The Bristol Stool Scale (BSS) is one of the most commonly used tools for
 evaluation of stool consistency. BSS ranges from 1-7 and each score is
 assigned to a given consistency of the feces. Self-reported
 characterizations can differ from an expert evaluation, and the
 reliability of BSS is unclear. The dataset consists of BSS scores by
 patients with inflammatory bowel disease collected throughout a 3-year
 follow-up, matched with scores assessed by experienced bioengineers
 (experts). The purpose of the study where data was collected was to
 compare patient scores to expert scores and hence determine the
 reliability of the BSS.
description: The data set consists of Bristol Stool Scale (BSS) scores as
 assessed by patients and by experienced bioengineers (experts). The study
 is a sub-study of IBSEN-III - a population-based observational inception
 cohort with prospective follow-up (Clinical Trials ID: NCT 02727959). The cohort consist
 of newly diagnosed IBD patients and symptomatic non-IBD controls living in
 the South-Eastern Health Region of Norway, included during a 3-year period
 from 2017 to 2019.
description: # Bristol stool scale: patient versus expert score data
 [https://doi.org/10.5061/dryad.djh9w0w7r](https://doi.org/10.5061/dryad.djh9w0w7r) The dataset consists of Bristol Stool Scale (BSS) scores as assessed by patients and by experienced bioengineers (experts). **NOTICE**: The original files published on June 14, 2024, have been removed due to non-compliance with Dryad guidelines for publishing human subjects data. ## Description of the data and file structure Column 1 lists individual patient numbers. Each patient has scored 1-4 fecal (timepoints 0, 3 months, 6 months and 3 years; there may be missing values that are left out) samples by using the BSS. The patient scores are listed in column 2. Each sample has also been scored by an expert, and these values are listed in column 3. BSS is a 7-point ranking system, where types 1-2 and 6-7 correspond to abnormal defecation with constipation and diarrhea, respectively. Empty cells represent missing data.
DOI: 10.15468/dl.hk9n4n
title: Occurrence Download

description: A dataset containing 18025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sardina pilchardus",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 90",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 18025 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004039-260126135527185/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.25522459
title: The Kubernetes Security Landscape: Full Open Research Archive

description: The Kubernetes Security Landscape: AI-Driven Insights from a Comprehensive Analysis of Developer DiscussionsThis zip archive is organized into four main directories, plus a handful of supporting files. It contains everything you need to recreate the results of our research under the Open Research initiative.<i>assets/</i>: Images and compiled assets used in the research paper<i>data/</i>: Exported raw data sources, including the data dump, CSV export, and Pickle files<i>research/</i>: Jupyter Notebooks demonstrating how the data was processed within the paper<i>scripts/</i>: Python scripts for scraping - exposed by cli.py<i>cli.py</i>: Python script which exposes a command-line-interface (CLI) that allows for easier interaction with the scraping scripts in the scripts/ directory<i>poetry.lock</i>: Dependency package manifest for using with the poetry install command and poetry package manager.<i>requirements.txt</i>: Python/Pip project configuration file if you prefer to use Pip instead of Poetry.<i>README.md</i>: &lt;=== <b>START HERE: Contains instructions about files and how to get started</b>If you are looking for the raw Database dumps and/or CSV files. Those are also available on Figshare Project as independent downloads (in addition to be located in this zip archive under the <i>data/</i> directory)
DOI: 10.6084/m9.figshare.25522459.v1
title: The Kubernetes Security Landscape: Full Open Research Archive

description: The Kubernetes Security Landscape: AI-Driven Insights from a Comprehensive Analysis of Developer DiscussionsThis zip archive is organized into four main directories, plus a handful of supporting files. It contains everything you need to recreate the results of our research under the Open Research initiative.<i>assets/</i>: Images and compiled assets used in the research paper<i>data/</i>: Exported raw data sources, including the data dump, CSV export, and Pickle files<i>research/</i>: Jupyter Notebooks demonstrating how the data was processed within the paper<i>scripts/</i>: Python scripts for scraping - exposed by cli.py<i>cli.py</i>: Python script which exposes a command-line-interface (CLI) that allows for easier interaction with the scraping scripts in the scripts/ directory<i>poetry.lock</i>: Dependency package manifest for using with the poetry install command and poetry package manager.<i>requirements.txt</i>: Python/Pip project configuration file if you prefer to use Pip instead of Poetry.<i>README.md</i>: &lt;=== <b>START HERE: Contains instructions about files and how to get started</b>If you are looking for the raw Database dumps and/or CSV files. Those are also available on Figshare Project as independent downloads (in addition to be located in this zip archive under the <i>data/</i> directory)
DOI: 10.3886/e244811
title: College of Nursing Sciences, Federal Neuropsychiatric Hospital, Enugu, 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: College of Nursing Sciences, Federal Neuropsychiatric Hospital, Enugu, 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}
DOI: 10.15468/dl.z7j5g9
title: Occurrence Download

description: A dataset containing 885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "TaxonKey is Xyris hymenachne"
 ]
}

 The dataset includes 885 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003773-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n6v3se
title: Occurrence Download

description: A dataset containing 1106912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1106912 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003751-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jphjjq
title: Occurrence Download

description: A dataset containing 14181804 records in GBIF matching the query:
SELECT 
 "gbifid", "taxonkey", "phylum", "class", "order", "eventdate", "datasetkey", "countrycode", "stateprovince", "decimallongitude", "decimallatitude" 
FROM occurrence 
WHERE 
 ("hasgeospatialissues" = 'false') AND 
 ("hascoordinate" = 'true') AND 
 ("occurrencestatus" = 'PRESENT') AND 
 NOT("basisofrecord" IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')) AND 
 ("decimallatitude" &gt;= 29) AND 
 ("decimallatitude" &lt; 37) AND 
 ("decimallongitude" &gt;= -82) AND 
 ("decimallongitude" &lt; -81) AND 
 ("year" &lt;= 2025)

 The dataset's 14181804 records were derived from 893 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003771-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244812
title: College of Nursing Sciences, ESUTTH Parklane, Enugu, 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: College of Nursing Sciences, ESUTTH Parklane, Enugu, 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}
DOI: 10.15468/dl.uscfej
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((107.00816 -6.69865,106.98396 -6.77376,107.05052 -6.86087,107.06564 -6.92094,107.08985 -7.00803,107.108 -7.15514,107.15838 -7.45391,107.27334 -7.43591,107.36805 -7.52682,107.40738 -7.35883,107.41646 -7.05569,107.40133 -6.91755,107.31662 -6.83946,107.28637 -6.75535,107.23796 -6.63817,107.10787 -6.56003,106.98081 -6.51494,106.92333 -6.56303,106.92635 -6.66221,107.00816 -6.69865))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (VU, EN, CR, EW)",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 121 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003775-260129131611470/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.31223131
title: First-Cycle Action and Process Coding: Qualitative HRD Method Demonstration

description: This dataset includes de-identified qualitative interview transcripts and a coding matrix used to demonstrate initial action and process coding in qualitative Human Resource Development (HRD) research. The materials are provided for methodological transparency, educational purposes, and to show how first-cycle coding can be systematically applied to qualitative interview data. No interpretive themes or findings are included.<br>
DOI: 10.6084/m9.figshare.31223131.v1
title: First-Cycle Action and Process Coding: Qualitative HRD Method Demonstration

description: This dataset includes de-identified qualitative interview transcripts and a coding matrix used to demonstrate initial action and process coding in qualitative Human Resource Development (HRD) research. The materials are provided for methodological transparency, educational purposes, and to show how first-cycle coding can be systematically applied to qualitative interview data. No interpretive themes or findings are included.<br>