cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5032307
title: Scholastic Theology [IO Bijapur 191] الحاشیة القدیمة

description: Scholastic Theology.

This manuscript is now IO Bijapur 191 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 419 here with further notations and hyperlinks].


419.

B 191. Size 8 in. by 41/4 in.; foll. 202. Twenty-one lines in a page.

Another imperfect copy of the same work, ending with the words قوله و فیه نظر لانا لا نم (=fol. 116v. of no. 417).

Written in a clear Nasta’liḳ, of the tenth century; with some marginal notes by the author. A small ornament at the beginning; red lines round the pages.
DOI: 10.13012/b2idb-0982994_v2
title: Data for Operation of a high frequency, phase slip qubit

description: This dataset contains all the raw and processed data used to generate the figures presented in the main text and the supplementary information of the paper "Operation of a high frequency, phase slip qubit." It also includes code for data analysis and code for generating the figures.

<b>Note:</b> V2 includes time domain analysis that also accounts for the thermal dephasing from the f state (see readme in Time domain Device A).
DOI: 10.17632/y7xfffjh6z.1
title: FER2025 :- A Deep Learning Approach to Facial Emotion Recognition with Gender Classification Using CNN

description: This dataset was developed for a deep learning project focused on facial emotion recognition with gender classification using Convolutional Neural Networks (CNNs). It comprises a total of 3,176 images and 5,160 annotations, collected exclusively from reputable sources offering copyright-free or royalty-free images, such as Unsplash, iStock, Shutterstock, Getty Images etc. These platforms explicitly permit usage for personal and commercial purposes without requiring attribution.
The dataset includes 12 distinct classes, corresponding to six emotion categories (e.g., happy, sad, angry, fear, surprised, sleepy), each labeled separately for male and female subjects, resulting in a total of 12 unique class labels.

To facilitate effective model training and evaluation, the dataset is organized into three subsets:
Training Set: 70% of the data
Validation Set: 20% of the data
Test Set: 10% of the data

All annotations were carefully curated to ensure compliance with licensing terms and legal usage rights.
DOI: 10.17632/y7xfffjh6z.2
title: FER2025 :- A Deep Learning Approach to Facial Emotion Recognition with Gender Classification Using CNN

description: This dataset was developed for a deep learning project focused on facial emotion recognition with gender classification using Convolutional Neural Networks (CNNs). It comprises a total of 3,176 images and 5,160 annotations, collected exclusively from reputable sources offering copyright-free or royalty-free images, such as Unsplash, iStock, Shutterstock, Getty Images etc. These platforms explicitly permit usage for personal and commercial purposes without requiring attribution.
The dataset includes 12 distinct classes, corresponding to six emotion categories (e.g., happy, sad, angry, fear, surprised, sleepy), each labeled separately for male and female subjects, resulting in a total of 12 unique class labels.

To facilitate effective model training and evaluation, the dataset is organized into three subsets:
Training Set: 70% of the data
Validation Set: 20% of the data
Test Set: 10% of the data

All annotations were carefully curated to ensure compliance with licensing terms and legal usage rights.
DOI: 10.17632/y7xfffjh6z.3
title: FER2025 :- A Deep Learning Approach to Facial Emotion Recognition with Gender Classification Using CNN

description: This dataset was developed for a deep learning project focused on facial emotion recognition with gender classification using Convolutional Neural Networks (CNNs). It comprises a total of 3,176 images and 5,160 annotations, collected exclusively from reputable sources offering copyright-free or royalty-free images, such as Unsplash, iStock, Shutterstock, Getty Images etc. These platforms explicitly permit usage for personal and commercial purposes without requiring attribution.

The dataset includes 12 distinct classes, corresponding to six emotion categories (e.g., happy, sad, angry, fear, surprised, sleepy), each labeled separately for male and female subjects, resulting in a total of 12 unique class labels.

To facilitate effective model training and evaluation, the dataset is organized into three subsets:
Training Set: 70% of the data
Validation Set: 20% of the data
Test Set: 10% of the data

The metadata_FER2025.csv file lists each image of a facial emotion with its name, set type (Train/Valid/Test), Class ID, Class Name, and bounding box details (X, Y, Width, Height). It organizes the dataset for efficient object detection model training.

All annotations were carefully curated to ensure compliance with licensing terms and legal usage rights.
DOI: 10.15468/dl.purdby
title: Occurrence Download

description: A dataset containing 10481 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.continent = 'ASIA'
 AND occurrence.countrycode = 'IN'
 AND occurrence.datasetkey = '4fa7b334-ce0d-4e88-aaae-2e0c138d049e'
 AND (occurrence.level0gid IN ('IND.20.17_1', 'IND.20.18_1', 'IND.25.1.1_1', 'IND.25_1') OR occurrence.level1gid IN ('IND.20.17_1', 'IND.20.18_1', 'IND.25.1.1_1', 'IND.25_1') OR occurrence.level2gid IN ('IND.20.17_1', 'IND.20.18_1', 'IND.25.1.1_1', 'IND.25_1') OR occurrence.level3gid IN ('IND.20.17_1', 'IND.20.18_1', 'IND.25.1.1_1', 'IND.25_1'))
 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 10481 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013606-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqev3f
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus sericea",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049138-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25500/00001515
title: Data for "An understanding of ‘strengths’ and ‘Strengths based approach’ within older people from ethnic minorities in the UK. A Qualitative Systematic Review"

description: Prisma Checklist and Prisma Abstract checklist
DOI: 10.15468/dl.yy4j7f
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhinolophus affinis",
 "Year 2016-2026"
 ]
}

 The dataset includes 267 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002427-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ffbaes
title: Occurrence Download

description: A dataset containing 2263444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation)",
 "Issue is one of (Geodetic datum assumed WGS84, Coordinate reprojection suspicious, Coordinate precision/uncertainty mismatch, Footprint WKT mismatch, Country derived from coordinates, Continent derived from country, Continent derived from coordinates, Taxon match fuzzy, Taxon match higher rank, Taxon match aggregate, The scientific name ID was not used in backbone matching, The taxon concept ID was not used in backbone matching, Depth min max swapped, Elevation min max swapped, Elevation not metric, Elevation non numeric, Multimedia date invalid, Individual count conflicts with occurrence status, Occurrence status inferred from individual count, Occurrence status inferred from basis of record, Ambiguous institution, Ambiguous collection, Institution match none, Collection match none)",
 "OccurrenceStatus is Present",
 "TaxonKey is Acanthis flammea",
 "Year 2000-2025"
 ]
}

 The dataset includes 2263444 records from 495 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002372-260120142942310/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.31112524
title: Forecast uploaded on January 21 regarding the performance of Google stock ("Will Alphabet (Google) stock be higher on February 17, 2026, than on January 21, 2026?")

description: These data concern the collection of predictions about a specific financial event. The data were collected using two different prediction market methods: a traditional approach and a method currently under development and testing, referred to as the “intuition market”.
DOI: 10.6084/m9.figshare.31112524.v1
title: Forecast uploaded on January 21 regarding the performance of Google stock ("Will Alphabet (Google) stock be higher on February 17, 2026, than on January 21, 2026?")

description: These data concern the collection of predictions about a specific financial event. The data were collected using two different prediction market methods: a traditional approach and a method currently under development and testing, referred to as the “intuition market”.
DOI: 10.15468/dl.wz62nj
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Carex microglochin",
 "Year 1970-2000"
 ]
}

 The dataset includes 66 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002429-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vswpwd
title: Occurrence Download

description: A dataset containing 93474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "GadmGid is one of (ARE.3_1, BRA.25.109_2, CAN.9.53_1, CHE.25_1, CZE.13_1, DEU.15_1, ESP.4_1, FIN.5_1, FRA.1_1, FRA.7_1, GBR.1.44_1, GBR.1.48_1, IND.12.5_1, IND.31.26_1, MYS.9_1, SVK.4_1, SWE.12_1, SWE.14_1, TWN.7.2_1, TWN.7.3_1, USA.4.16_1, USA.5.16_1, USA.14.64_1, USA.34.18_1, USA.34.7_1, USA.31.14_1, USA.44.92_1)",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "Year 2023-2026"
 ]
}

 The dataset includes 93474 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002361-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5bv7dt6
title: Partial pressure (or fugacity) of carbon dioxide, salinity, oxygen and other variables collected from time series observations from Mooring Maria_Island_42S_148E deployed in the Tasman Sea, Pacific Ocean (NCEI Accession 0165305)

description: This dataset includes chemical, meteorological, physical time series data collected from Mooring Maria_Island_42S_148E deployed in the Tasman Sea, Pacific Ocean from 2011-04-20 to 2025-10-29. These data include mole fraction of CO2 in the equilibrator head space, mole fraction of CO2 in the atmosphere, fugacity of carbon dioxide at surface water, corrected for water vapour at surface water salinity and temperature, delta fCO2 = (fCO2_WET_SW - fCO2_WET_AIR), atmospheric pressure, equilibrator pressure, sea surface temperature, equilibrator temperature, sea surface salinity and concentration O2 in surface sea water. Measurements in the dataset are made with a Battelle Seaology pCO2 monitoring system (MApCO2), a Seabird SBE16plusV2 CTD, mounted on a surface buoy similar to the system described in Sutton et al. (2014), with an Aanderaa optode used to measure dissolved oxygen concentrations. The seawater sensor intakes for the MapCO2, SBE16Plus V2 and the optode are located at about 1m water depth. The CO2 measurement uses a bubble equilibrator (Sutton et al., 2014), where the air from the equilibrator headspace is circulated through a LI-COR 820 non-dispersive infrared detector (NDIR) for measurement of CO2. The system carries out an automated measurement sequence every 2 or 3 hours, depending on the instrumentation setup. At the beginning of each measurement sequence, the NDIR undergoes a two point calibration with a zero CO2 gas and a high CO2 standard span gas (typically 450-550 micromol/mol), which bracket the range of CO2 mole fractions in seawater and air. The zero CO2 gas is generated by cycling air through a soda lime chamber and silica gel to remove CO2 and water vapour, respectively. The CO2 span gas is prepared by the NOAA Earth Systems Research Laboratory in the USA and calibrated on the WMO X2007 scale with a standard deviation of 0.06 micromol/mol. Each measurement cycle of zero and span gas, equilibrator headspace, and air takes 20 minutes with the equilibrator headspace measurement occurring at about 17 minutes followed by the air measurement. The pressure measurements are considered the same for the equilibrator headspace gas and air measurements due to the design of the MapCO2 system (Sutton et al., 2014) as are the temperature and salinity of the surface seawater and the equilibrator measured by the Seabird SBE16PlusV2.
DOI: 10.6084/m9.figshare.30810270
title: Chikungunya virus replicates in the human testis <i>ex vivo</i> and impacts peritubular myoid cells functional markers

description: Chikungunya virus (CHIKV) is an emerging, mosquito-borne alphavirus responsible for debilitating, long-lasting arthralgia and myalgia. In light of recent findings of prolonged CHIKV RNA shedding in human semen and testicular tropism in animals infected with related alphaviruses, it is imperative to investigate CHIKV's capacity to infect the human testis, an established reservoir for arboviruses like Zika, and to delineate its implications for testicular function. Using an <i>ex vivo</i> human testicular tissue model, we demonstrate that CHIKV rapidly infects peritubular myoid cells (PMCs) and a range of interstitial cells, with robust viral production peaking at day 3 before declining. Importantly, seminiferous tubule cells and isolated testicular germ cells proved nonpermissive to CHIKV infection, indicating a potential limitation for seminal shedding of virions. Infected testicular explants exhibited a broad antiviral response but limited pro-inflammatory cytokines upregulation. CHIKV replication in the testis induced apoptosis and cell death, with a marked impact on PMC markers including decreased transcriptional expression of genes crucial for PMC contractile properties and extracellular matrix production. In summary, our study highlights the susceptibility of human testicular tissue to CHIKV infection, marked by robust viral replication that primarily compromises PMC function. The observed cellular impairment and damage suggest that CHIKV infection might negatively affect key testicular functions, such as tubular contractility and sperm release. These findings warrant further investigation into semen parameters and viral shedding in CHIKV-infected men.
DOI: 10.6084/m9.figshare.30810270.v2
title: Chikungunya virus replicates in the human testis <i>ex vivo</i> and impacts peritubular myoid cells functional markers

description: Chikungunya virus (CHIKV) is an emerging, mosquito-borne alphavirus responsible for debilitating, long-lasting arthralgia and myalgia. In light of recent findings of prolonged CHIKV RNA shedding in human semen and testicular tropism in animals infected with related alphaviruses, it is imperative to investigate CHIKV's capacity to infect the human testis, an established reservoir for arboviruses like Zika, and to delineate its implications for testicular function. Using an <i>ex vivo</i> human testicular tissue model, we demonstrate that CHIKV rapidly infects peritubular myoid cells (PMCs) and a range of interstitial cells, with robust viral production peaking at day 3 before declining. Importantly, seminiferous tubule cells and isolated testicular germ cells proved nonpermissive to CHIKV infection, indicating a potential limitation for seminal shedding of virions. Infected testicular explants exhibited a broad antiviral response but limited pro-inflammatory cytokines upregulation. CHIKV replication in the testis induced apoptosis and cell death, with a marked impact on PMC markers including decreased transcriptional expression of genes crucial for PMC contractile properties and extracellular matrix production. In summary, our study highlights the susceptibility of human testicular tissue to CHIKV infection, marked by robust viral replication that primarily compromises PMC function. The observed cellular impairment and damage suggest that CHIKV infection might negatively affect key testicular functions, such as tubular contractility and sperm release. These findings warrant further investigation into semen parameters and viral shedding in CHIKV-infected men.
DOI: 10.6084/m9.figshare.30810270.v1
title: Chikungunya virus replicates in the human testis <i>ex vivo</i> and impacts peritubular myoid cells functional markers

description: Chikungunya virus (CHIKV) is an emerging, mosquito-borne alphavirus responsible for debilitating, long-lasting arthralgia and myalgia. In light of recent findings of prolonged CHIKV RNA shedding in human semen and testicular tropism in animals infected with related alphaviruses, it is imperative to investigate CHIKV's capacity to infect the human testis, an established reservoir for arboviruses like Zika, and to delineate its implications for testicular function. Using an <i>ex vivo</i> human testicular tissue model, we demonstrate that CHIKV rapidly infects peritubular myoid cells (PMCs) and a range of interstitial cells, with robust viral production peaking at day 3 before declining. Importantly, seminiferous tubule cells and isolated testicular germ cells proved nonpermissive to CHIKV infection, indicating a potential limitation for seminal shedding of virions. Infected testicular explants exhibited a broad antiviral response but limited pro-inflammatory cytokines upregulation. CHIKV replication in the testis induced apoptosis and cell death, with a marked impact on PMC markers including decreased transcriptional expression of genes crucial for PMC contractile properties and extracellular matrix production. In summary, our study highlights the susceptibility of human testicular tissue to CHIKV infection, marked by robust viral replication that primarily compromises PMC function. The observed cellular impairment and damage suggest that CHIKV infection might negatively affect key testicular functions, such as tubular contractility and sperm release. These findings warrant further investigation into semen parameters and viral shedding in CHIKV-infected men.
DOI: 10.15468/dl.y4upaa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.767 1.591182, 99.69671 1.585614, 99.628152 1.569047, 99.56301499999999 1.541889, 99.502903 1.50481, 99.449297 1.458722, 99.40351699999999 1.404761, 99.36668899999999 1.344257, 99.33972 1.278699, 99.323274 1.209702, 99.31775399999999 1.138965, 99.323296 1.068229, 99.33976199999999 0.999237, 99.36674600000001 0.933687, 99.403583 0.873192, 99.449367 0.819242, 99.50297 0.773165, 99.56307200000001 0.7360950000000001, 99.628193 0.708945, 99.696732 0.692383, 99.767 0.686816, 99.83726799999999 0.692383, 99.905807 0.708945, 99.970928 0.7360950000000001, 100.03103 0.773165, 100.084633 0.819242, 100.130417 0.873192, 100.167254 0.933687, 100.194238 0.999237, 100.210704 1.068229, 100.216246 1.138965, 100.210726 1.209702, 100.19428 1.278699, 100.167311 1.344257, 100.130483 1.404761, 100.084703 1.458722, 100.031097 1.50481, 99.970985 1.541889, 99.90584800000001 1.569047, 99.83729 1.585614, 99.767 1.591182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002430-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.28510976
title: Integrated exclusive hypothesis test for response missing at random

description: This study presents a novel method with its computational scheme for testing the exclusive hypothesis in regression models with missing responses under the missing at random (MAR) mechanism. The proposed integrated exclusive hypothesis test addresses the challenge of testing whether a response variable is associated with at most one or multiple factors among a set of predictors, based on the inverse probability weighted (IPW) estimation and the -2-loss-difference test statistics, which are combined to form an integrated decision criterion. The asymptotic properties are established, showing high theoretical and computational efficiency. Numerical experiments demonstrate the validation and robustness of the proposed methodology. As an application, the proposed test is used on an AIDS clinical dataset collected from AIDS Clinical Trials Group Protocol 175.