cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18326065
title: Digitised fragment bindings at the University Library of Southern Denmark

description: This dataset contains images of 38 books held by the University Library of Southern Denmark. These books were selected for digitisation because their bindings are made of fragments of medieval manuscripts or early printed books, an important corpus of material for studying the medieval Latin heritage of Northern Europe.

Images of the fragments and relevant parts of their host volumes were for the most part acquired with a resolution of 300 dpi using different techniques: visible light (all items), infrared-reflected imaging (relevant items only), and hyperspectral imaging (relevant items only). The images were acquired with a Canon EOS 800D camera, modified for the UV-VIS-IR range, using Elio halogen lights and the Robertina filter set produced by Cultural Heritage Open Source. The images were processed with RawTherapee. The hyperspectral data were captured using Newtec's hyperspectral imaging (HSI) system, Buteo, which employs the Oculus Vis-NIR camera. This camera captures a spectral range of 430–1000 nm and provides a spatial sampling swath of 1840 pixels.

Since a full-scale digitisation of every page of each item would have cost more time and resources than available, partial digitisation was carried out. The following parts of each item were photographed: 



Covers (front and back)

Spine

Title page, incipit, and/or colophon

Any pages with provenance information


Of one item, only the outside of the covers was photographed due to the fragile state of the binding (Herlufsholm 671.2).
DOI: 10.15468/dl.68cwxa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.75198399999999 24.049613, 88.675088 24.044036, 88.600105 24.027444, 88.528898 24.000249, 88.463235 23.963128, 88.404741 23.917002, 88.35486 23.863016, 88.314815 23.802508, 88.285585 23.736975, 88.267875 23.668037, 88.262103 23.597396, 88.268393 23.526793, 88.286571 23.457963, 88.31617199999999 23.392598, 88.356454 23.332302, 88.406418 23.27855, 88.46483000000001 23.232659, 88.530255 23.195749, 88.60109 23.168723, 88.675606 23.152238, 88.75198399999999 23.146699, 88.828362 23.152238, 88.902878 23.168723, 88.973713 23.195749, 89.03913799999999 23.232659, 89.09755 23.27855, 89.147514 23.332302, 89.18779600000001 23.392598, 89.21739700000001 23.457963, 89.235575 23.526793, 89.241865 23.597396, 89.236093 23.668037, 89.218383 23.736975, 89.189153 23.802508, 89.149108 23.863016, 89.099227 23.917002, 89.040733 23.963128, 88.97507 24.000249, 88.903863 24.027444, 88.82888 24.044036, 88.75198399999999 24.049613))"},{"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/0007539-260120142942310/datasets/export for details.
DOI: 10.15468/dl.wsembg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.795351 23.834013, 88.718583 23.828436, 88.64372400000001 23.811844, 88.57263500000001 23.784649, 88.507079 23.747528, 88.44868099999999 23.701402, 88.39888000000001 23.647415, 88.35890000000001 23.586907, 88.32971499999999 23.521373, 88.312031 23.452434, 88.30626599999999 23.381791, 88.31254300000001 23.311185, 88.33068900000001 23.242353, 88.36024 23.176986, 88.40045600000001 23.116686, 88.450338 23.062932, 88.508655 23.017039, 88.573975 22.980127, 88.64469800000001 22.953099, 88.719095 22.936613, 88.795351 22.931073, 88.871607 22.936613, 88.946004 22.953099, 89.016727 22.980127, 89.082047 23.017039, 89.14036400000001 23.062932, 89.190246 23.116686, 89.230462 23.176986, 89.260013 23.242353, 89.278159 23.311185, 89.284436 23.381791, 89.278671 23.452434, 89.260987 23.521373, 89.231802 23.586907, 89.191822 23.647415, 89.142021 23.701402, 89.083623 23.747528, 89.018067 23.784649, 88.946978 23.811844, 88.872119 23.828436, 88.795351 23.834013))"},{"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/0007541-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18352400
title: BOSHLANG'ICH MAKTAB KURSIDA UCHBURCHAKLARGA OID TEOREMALARNI O'RGATISHNING ZAMONAVIY VA SAMARALI USULLARI

description: Mazkur maqolada boshlang‘ich sinf matematika ta’limida uchburchak teoremalarini o‘qitishga doir zamonaviy pedagogik yondashuvlar tahlil qilinadi. Maqolada an’anaviy yodlashga asoslangan o‘qitish usullari bilan kashfiyotga yo‘naltirilgan. Induktiv yondashuv, dinamik geometriya vositalari va hayotiy analogiyalar asosida tushuntirish usullarining o‘quvchilarning mantiqiy tafakkuri hamda fazoviy   tasavvurini rivojlantirishdagi o‘rni sharhlanadi. GeoGebra dasturidan foydalanish tajribasi mavjud ilmiy-metodik manbalar asosida umumlashtiriladi. Shuningdek, muammoli vaziyatlar va provokatsion savollar orqali tanqidiy fikrlashni shakllantirish imkoniyatlari ko‘rib chiqiladi. Maqolada grafik organayzerlar va vizual isbotlarning didaktik samaradorligi tahlil qilinadi. Keltirilgan tajriba-sinov natijalari AKT vositalari asosida tashkil etilgan darslarning natijadorligini tasdiqlaydi. Sharh davomida boshlang‘ich sinf o‘qituvchilari uchun amaliy tavsiyalar ishlab chiqilgan. Mazkur maqola geometriya ta’limini takomillashtirishga qaratilgan metodik qarashlarni tizimli yoritib beradi. Ushbu maqolada geometriya kursining "yuragi" hisoblangan uchburchaklar va ularga oid teoremalarni o‘quvchilarga sodda, qiziqarli va xotirada qoladigan usullar bilan o‘rgatish  metodikasi tahlil qilinadi.
DOI: 10.5281/zenodo.18352401
title: BOSHLANG'ICH MAKTAB KURSIDA UCHBURCHAKLARGA OID TEOREMALARNI O'RGATISHNING ZAMONAVIY VA SAMARALI USULLARI

description: Mazkur maqolada boshlang‘ich sinf matematika ta’limida uchburchak teoremalarini o‘qitishga doir zamonaviy pedagogik yondashuvlar tahlil qilinadi. Maqolada an’anaviy yodlashga asoslangan o‘qitish usullari bilan kashfiyotga yo‘naltirilgan. Induktiv yondashuv, dinamik geometriya vositalari va hayotiy analogiyalar asosida tushuntirish usullarining o‘quvchilarning mantiqiy tafakkuri hamda fazoviy   tasavvurini rivojlantirishdagi o‘rni sharhlanadi. GeoGebra dasturidan foydalanish tajribasi mavjud ilmiy-metodik manbalar asosida umumlashtiriladi. Shuningdek, muammoli vaziyatlar va provokatsion savollar orqali tanqidiy fikrlashni shakllantirish imkoniyatlari ko‘rib chiqiladi. Maqolada grafik organayzerlar va vizual isbotlarning didaktik samaradorligi tahlil qilinadi. Keltirilgan tajriba-sinov natijalari AKT vositalari asosida tashkil etilgan darslarning natijadorligini tasdiqlaydi. Sharh davomida boshlang‘ich sinf o‘qituvchilari uchun amaliy tavsiyalar ishlab chiqilgan. Mazkur maqola geometriya ta’limini takomillashtirishga qaratilgan metodik qarashlarni tizimli yoritib beradi. Ushbu maqolada geometriya kursining "yuragi" hisoblangan uchburchaklar va ularga oid teoremalarni o‘quvchilarga sodda, qiziqarli va xotirada qoladigan usullar bilan o‘rgatish  metodikasi tahlil qilinadi.
DOI: 10.15468/dl.rdpdtd
title: Occurrence Download

description: A dataset containing 523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-96.11298 40.02519,-67.98798 40.02519,-67.98798 51.27519,-96.11298 51.27519,-96.11298 40.02519))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis lucifugus",
 "Year 2000-2025"
 ]
}

 The dataset includes 523 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007542-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nv2uky
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sternochetus mangiferae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Specimen, Material sample, Occurrence evidence)"
 ]
}

 The dataset includes 294 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007544-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jb2hz7
title: Occurrence Download

description: A dataset containing 8535688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Poecile atricapillus",
 "Year 2010-2020"
 ]
}

 The dataset includes 8535688 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007489-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5wx6an
title: Occurrence Download

description: A dataset containing 425624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "PublishingOrg is 898ba450-1627-11df-bd84-b8a03c50a862"
 ]
}

 The dataset includes 425624 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007533-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244590
title: Are footballers rewarded for luck? A surprise test

description: Performance related pay is a solution to an incentive problem that is optimal when inputs are unobservable and employees lack incentives to provide effort; it also makes pay contingent on luck (Bertrand and Mullainathan (2001)). This paper uses wage payments by professional English football clubs and bookmaker betting odds to test whether player pay is contingent on luck. The results suggest that luck plays no role in determining player wages. This is consistent with the commonsense view that player inputs are largely observable or motivated by career concerns, avoiding the need for performance related pay.
DOI: 10.3886/e244590v1
title: Are footballers rewarded for luck? A surprise test

description: Performance related pay is a solution to an incentive problem that is optimal when inputs are unobservable and employees lack incentives to provide effort; it also makes pay contingent on luck (Bertrand and Mullainathan (2001)). This paper uses wage payments by professional English football clubs and bookmaker betting odds to test whether player pay is contingent on luck. The results suggest that luck plays no role in determining player wages. This is consistent with the commonsense view that player inputs are largely observable or motivated by career concerns, avoiding the need for performance related pay.
DOI: 10.15468/dl.v4uxk8
title: Occurrence Download

description: A dataset containing 16141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lacerta viridis",
 "Country is one of (Albania, Austria, Bosnia and Herzegovina, Belgium, Bulgaria, Belarus, Switzerland, Cyprus, Czechia, Germany, Denmark, Estonia, Spain, Finland, France, United Kingdom of Great Britain and Northern Ireland, Greece, Croatia, Hungary, Ireland, Italy, Lithuania, Luxembourg, Latvia, Moldova, Republic of, Montenegro, North Macedonia, Malta, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Sweden, Slovenia, Slovakia, Türkiye, Ukraine, Kosovo)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16141 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007545-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18352428
title: ENGLISH PRAGMATIC STRATEGIES BETWEEN SPEAKER AND LISTENER

description: Pragmatics is a crucial branch of linguistics that focuses on meaning in context and examines how speakers and listeners negotiate meaning in real communicative situations. This article explores pragmatic strategies used in English communication between speakers and listeners, emphasizing speech acts, politeness strategies, implicature, deixis, and conversational cooperation. The study highlights how effective pragmatic competence enables successful interaction, reduces misunderstanding, and enhances communicative efficiency. Through theoretical analysis and illustrative examples, the paper demonstrates how pragmatic strategies operate in spoken English and how listeners interpret intended meanings beyond literal expressions. The findings suggest that pragmatic awareness is essential for language learners and plays a significant role in intercultural communication.
DOI: 10.5281/zenodo.18352429
title: ENGLISH PRAGMATIC STRATEGIES BETWEEN SPEAKER AND LISTENER

description: Pragmatics is a crucial branch of linguistics that focuses on meaning in context and examines how speakers and listeners negotiate meaning in real communicative situations. This article explores pragmatic strategies used in English communication between speakers and listeners, emphasizing speech acts, politeness strategies, implicature, deixis, and conversational cooperation. The study highlights how effective pragmatic competence enables successful interaction, reduces misunderstanding, and enhances communicative efficiency. Through theoretical analysis and illustrative examples, the paper demonstrates how pragmatic strategies operate in spoken English and how listeners interpret intended meanings beyond literal expressions. The findings suggest that pragmatic awareness is essential for language learners and plays a significant role in intercultural communication.
DOI: 10.5281/zenodo.18352310
title: panulirus_penicillatus_spades_01.fasta.gz
DOI: 10.5281/zenodo.18352311
title: panulirus_penicillatus_spades_01.fasta.gz
DOI: 10.15468/dl.wyh7ju
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Populus cathayana",
 "Year 1970-2000"
 ]
}

 The dataset includes 56 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007546-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku7f45
title: Occurrence Download

description: A dataset containing 364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ammoselinum popei",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 364 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007549-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfxbgf
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Metelectrona ventralis",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "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 329 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007547-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57906/ks2s-qx24
title: Annual Business Survey - GB
DOI: 10.15468/dl.w8uxe3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.723985 24.096255, 88.64706099999999 24.090678, 88.572051 24.074086, 88.50081900000001 24.046892, 88.435132 24.00977, 88.376617 23.963644, 88.326718 23.909658, 88.28666 23.84915, 88.25742 23.783617, 88.239704 23.71468, 88.233931 23.64404, 88.240223 23.573436, 88.258408 23.504607, 88.28802 23.439243, 88.328317 23.378947, 88.378298 23.325196, 88.43673099999999 23.279306, 88.502179 23.242396, 88.57303899999999 23.21537, 88.647581 23.198886, 88.723985 23.193346, 88.800389 23.198886, 88.874931 23.21537, 88.945791 23.242396, 89.011239 23.279306, 89.069672 23.325196, 89.119653 23.378947, 89.15994999999999 23.439243, 89.189562 23.504607, 89.207747 23.573436, 89.214039 23.64404, 89.20826599999999 23.71468, 89.19055 23.783617, 89.16131 23.84915, 89.121252 23.909658, 89.071353 23.963644, 89.012838 24.00977, 88.94715100000001 24.046892, 88.875919 24.074086, 88.800909 24.090678, 88.723985 24.096255))"},{"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/0007550-260120142942310/datasets/export for details.
DOI: 10.5281/zenodo.18255855
title: Measurement Data HCCI and SI with Gasoline and Ethanol

description: This dataset contains comprehensive measurement data from a single cylinder HCCI (Homogeneous Charge Compression Ignition) research engine test bench. The experiments were conducted to investigate various operating strategies and fuel blends, with a focus on advanced combustion concepts and real-time control approaches. The dataset includes the following measurement series:



HCCI Operating Maps: Systematic variation of negative valve overlap and injection duration was performed to generate HCCI operating maps using gasoline (selected points) and ethanol as fuels.

SI Operation Reference Points: Comparable load points in conventional spark ignition (SI) mode were recorded with both gasoline and ethanol.

Reference Motored Measurements: Baseline motored measurements (engine driven without combustion) were taken at several time points to monitor system drift and repeatability.

HCCI with Ethanol-Water Blends: Detailed HCCI measurements were carried out using ethanol-based fuels with water admixtures of 0%, 5%, 10%, 15%, 20%, and 25%. For each blend, three stationary operating points and approximately fifteen dynamic operating points are included; in the dynamic cases, actuator setpoints were systematically varied.

RL-Controlled Dynamic HCCI Points: Two dynamic HCCI operation points with gasoline are included where a reinforcement learning agent tracked load transients—one during training phase, one after convergence.


For each operating point, between 500 and 1000 consecutive engine cycles were recorded. The raw data comprises cycle-resolved in-cylinder pressure traces, individual-cycle emissions data, as well as stationary values for all relevant parameters such as pressures, temperatures, emission concentrations, mass flows, etc. These stationary signals are available either as mean values per measurement point or as continuous time series sampled at 10 Hz.

A documentation file accompanies every dataset. It provides metadata for every measurement point including experimental conditions, actuator settings, fuel composition details, sensor specifications and calibration status.

This dataset enables in-depth analysis of advanced combustion phenomena under varied fuel compositions and control strategies. It supports research on cycle-to-cycle variability, transient behavior in HCCI engines, effects of water addition to ethanol fuel blends, comparison between SI and HCCI operation modes, and the application of machine learning methods for engine control.
DOI: 10.5281/zenodo.18255856
title: Measurement Data HCCI and SI with Gasoline and Ethanol

description: This dataset contains comprehensive measurement data from a single cylinder HCCI (Homogeneous Charge Compression Ignition) research engine test bench. The experiments were conducted to investigate various operating strategies and fuel blends, with a focus on advanced combustion concepts and real-time control approaches. The dataset includes the following measurement series:



HCCI Operating Maps: Systematic variation of negative valve overlap and injection duration was performed to generate HCCI operating maps using gasoline (selected points) and ethanol as fuels.

SI Operation Reference Points: Comparable load points in conventional spark ignition (SI) mode were recorded with both gasoline and ethanol.

Reference Motored Measurements: Baseline motored measurements (engine driven without combustion) were taken at several time points to monitor system drift and repeatability.

HCCI with Ethanol-Water Blends: Detailed HCCI measurements were carried out using ethanol-based fuels with water admixtures of 0%, 5%, 10%, 15%, 20%, and 25%. For each blend, three stationary operating points and approximately fifteen dynamic operating points are included; in the dynamic cases, actuator setpoints were systematically varied.

RL-Controlled Dynamic HCCI Points: Two dynamic HCCI operation points with gasoline are included where a reinforcement learning agent tracked load transients—one during training phase, one after convergence.


For each operating point, between 500 and 1000 consecutive engine cycles were recorded. The raw data comprises cycle-resolved in-cylinder pressure traces, individual-cycle emissions data, as well as stationary values for all relevant parameters such as pressures, temperatures, emission concentrations, mass flows, etc. These stationary signals are available either as mean values per measurement point or as continuous time series sampled at 10 Hz.

A documentation file accompanies every dataset. It provides metadata for every measurement point including experimental conditions, actuator settings, fuel composition details, sensor specifications and calibration status.

This dataset enables in-depth analysis of advanced combustion phenomena under varied fuel compositions and control strategies. It supports research on cycle-to-cycle variability, transient behavior in HCCI engines, effects of water addition to ethanol fuel blends, comparison between SI and HCCI operation modes, and the application of machine learning methods for engine control.