cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/ar/zeovfd
title: QuickScan archeologie 2025-004 Herinrichting Picustoren, Gasfabriek (ongenummerd), Eindhoven, gemeente Eindhoven

description: Uit de uitgevoerde Quickscan wordt duidelijk dat de archeologische verwachting van het gebied, als gevolg van de intensieve activiteiten in het plangebied in het kader van het gebruik als Gasfabriek terrein, de aanwezige riolering, kabels, leidingen en de uitgevoerde sanering, voor het hele plangebied bijgesteld moet worden naar laag voor alle archeologische periodes. Wel is er een kans op het
aantreffen van losse vondsten.

Omdat de geplande werkzaamheden ten behoeve van de bouw tot een diepte van maximaal 200 cm - mv gaan, en het plangebied voor een groot deel tot deze diepte gesaneerd is, lijkt de kans om een intacte archeologische vindplaats aan te treffen tijdens de werkzaamheden laag te zijn.

Daarom wordt geadviseerd het plangebied vrij te geven voor de geplande werkzaamheden. Dat betekent dat geen archeologisch vervolgonderzoek nodig is. Dit advies geldt voor het hele plangebied. Wel geldt daarbij dat de aanwezigheid van archeologische resten niet geheel kan worden uitgesloten op
basis van het uitgevoerde onderzoek. De meldingsplicht ten aanzien van archeologische vondsten conform de Erfgoedwet blijft gelden.
DOI: 10.15468/dl.khd5y8
title: Occurrence Download

description: A dataset containing 40590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40590 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021202-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/bflk2r
title: QuickScan archeologie 2025-003 Herinrichting Lemmenslaan Eindhoven, gemeente Eindhoven

description: Uit de uitgevoerde Quickscan wordt duidelijk dat de bekende archeologische gegevens voldoende concrete aanwijzingen geven voor een lage archeologische verwachting voor het aantreffen van resten van jachtkampjes uit de periode Laat- Paleolithicum- Mesolithicum, een lage verwachting voor het aantreffen van resten van bewoning en begraving uit de periode Neolithicum tot en met de Volle
Middeleeuwen en een middelhoge kans op het aantreffen van off-site vondsten uit de periode Neolithicum tot en met de Volle Middeleeuwen in het opgehoogde/ zuidelijke deel van het plangebied. De kans op het aantreffen van resten van bewoning en erfindeling uit de Late Middeleeuwen en Nieuwe Tijd is, vanwege de afwezigheid van bewoning, laag. Wel is er een hoge kans op het aantreffen van
resten van de op historische kaarten ingetekende Bennekelstraat. Daarnaast zijn in het plangebied diverse verstoringen aanwezig, die zijn ontstaan door egalisatie van de dekzandvlakte/ afschuiving zand richting het beekdal, de aanleg van de weg en de riolering, kabels en leidingen. 

Wanneer deze verstoringen worden afgezet tegen de diepte van de geplande
werkzaamheden, wordt duidelijk dat de meeste werkzaamheden in reeds verstoorde/ geroerde grond zullen gaan plaatsvinden of zich beperken tot de ophooglaag. Hierdoor lijkt hier de kans klein dat waardevolle archeologische resten aangetast zullen worden bij de graafwerkzaamheden.

Vanwege bovenstaande wordt geen vervolgonderzoek geadviseerd. Het plangebied kan vrijgegeven worden voor de geplande werkzaamheden.
Wel geldt dat de aanwezigheid van archeologische resten nooit geheel kan worden uitgesloten op basis van het uitgevoerde onderzoek. Daarom blijft de meldingsplicht ten aanzien van archeologische vondsten conform de Erfgoedwet gelden.
DOI: 10.17026/ar/i4k0gg
title: QuickScan archeologie 2025-002 Herinrichting Helmerslaan Eindhoven, gemeente Eindhoven

description: Uit de uitgevoerde Quickscan wordt duidelijk dat de bekende archeologische gegevens voldoende concrete aanwijzingen geven voor een lage archeologische verwachting voor het aantreffen van resten uit de periode Laat- Paleolithicum tot en met de Nieuwe Tijd. Daarnaast zijn in het plangebied diverse verstoringen aanwezig, die zijn ontstaan door de aanleg van de weg en de riolering, kabels en leidingen. Wanneer deze worden afgezet tegen de diepte van de geplande werkzaamheden, wordt duidelijk dat de meeste werkzaamheden reeds verstoorde/ geroerde grond zullen gaan plaatsvinden. Hierdoor lijkt hier de kans klein dat waardevolle archeologische resten aangetast zullen worden bij de
graafwerkzaamheden.

Vanwege bovenstaande wordt geen vervolgonderzoek geadviseerd. Het plangebied kan vrijgegeven worden voor de geplande werkzaamheden.

Wel geldt dat de aanwezigheid van archeologische resten nooit geheel kan worden uitgesloten op basis van het uitgevoerde onderzoek. Daarom blijft de meldingsplicht ten aanzien van archeologische vondsten conform de Erfgoedwet gelden.
DOI: 10.17026/ar/oh5niv
title: QuikScan archeologie 2025-001 Herinrichting Vredeoord Eindhoven Gemeente Eindhoven

description: Uit de uitgevoerde Quickscan wordt duidelijk dat de bekende archeologische gegevens voldoende concrete aanwijzingen geven voor een lage archeologische verwachting voor het aantreffen van resten uit de periode Laat- Paleolithicum tot en met de Nieuwe Tijd. De kans op het aantreffen van leemkuilen uit de nieuwste tijd wordt wel als hoog ingeschat. Daarbij moet gezegd worden dat de het om
leemkuilen gaat, die op de topografische kaart van 1955 zichtbaar zijn. De kans is klein dat het onderzoek van deze leemkuilen archeologisch relevante informatie op kan leveren, die nog niet bekend is uit historische bronnen en historische kaarten.

Vanwege de lage archeologische verwachting en lage archeologische relevantie van de leemkuilen wordt geen vervolgonderzoek geadviseerd. Het plangebied kan vrijgegeven worden voor de geplande werkzaamheden.

Wel geldt dat de aanwezigheid van archeologische resten nooit geheel kan worden uitgesloten op basis van het uitgevoerde onderzoek. Daarom blijft de meldingsplicht ten aanzien van archeologische vondsten conform de Erfgoedwet gelden.
DOI: 10.15468/dl.jjh3pd
title: Occurrence Download

description: A dataset listing the 3838 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 0-2019"
 ]
}

 The dataset's 3838 records were derived from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055581-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8r59c
title: Occurrence Download

description: A dataset containing 312 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andropogon arenarius"
 ]
}

 The dataset includes 312 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021204-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5bth5xryth.4
title: Regulatory effects of Xylooligosaccharides on methane production, rumen microbiome and serum metabolism in Jersey cow

description: Supplemental material for Zhou Xiaonan's article"Regulatory effects of Xylooligosaccharides on methane production, rumen microbiome and serum metabolism in Jersey cow"
DOI: 10.17632/8kb7h5rnnf
title: Quality alerts from a manufacturing company

description: It is a file that contains data related to quality alerts from a metalworking manufacturing company.
DOI: 10.17632/8kb7h5rnnf.1
title: Quality alerts from a manufacturing company

description: It is a file that contains data related to quality alerts from a metalworking manufacturing company.
DOI: 10.17632/yzsw3ff6rn
title: MDER-MA: Multimodal Emotion Recognition Dataset for the Moroccan Arabic

description: MDER-MA, a Multimodal Emotion Recognition Dataset for Moroccan Arabic, contain 5288 data items that express one of the four emotions: Happy, Sad, Angry, and Neutral, expressed in four different modalities: audio, text, spectrogram, and Mel-spectrogram images. Each modality contains 1,322 samples. The samples were collected from various regions across Morocco to ensure the creation of a representative dataset that is not biased toward any single geographic or linguistic area. MDER-MA supports multiple applications, including emotion recognition, audio transcription, age and gender identification from both speech, text, and image modalities. Annotation was conducted by five native Moroccan speakers, ensuring high linguistic reliability for real-time emotion recognition tasks. This work aims to bridge the gap between high-resource and low-resource languages in the field of emotion-aware and humanized intelligent systems, and to foster the development of Arabic language technologies, with particular focus on regional dialects such as Moroccan Arabic.
DOI: 10.15468/dl.b8w8ej
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kali tragus",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021205-250717081556266/datasets/export for details.
DOI: 10.15468/dl.esqpwz
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Maldives",
 "TaxonKey is Rhynchobatus australiae"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021206-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yzsw3ff6rn.1
title: MDER-MA: Multimodal Emotion Recognition Dataset for the Moroccan Arabic

description: MDER-MA, a Multimodal Emotion Recognition Dataset for Moroccan Arabic, contain 5288 data items that express one of the four emotions: Happy, Sad, Angry, and Neutral, expressed in four different modalities: audio, text, spectrogram, and Mel-spectrogram images. Each modality contains 1,322 samples. The samples were collected from various regions across Morocco to ensure the creation of a representative dataset that is not biased toward any single geographic or linguistic area. MDER-MA supports multiple applications, including emotion recognition, audio transcription, age and gender identification from both speech, text, and image modalities. Annotation was conducted by five native Moroccan speakers, ensuring high linguistic reliability for real-time emotion recognition tasks. This work aims to bridge the gap between high-resource and low-resource languages in the field of emotion-aware and humanized intelligent systems, and to foster the development of Arabic language technologies, with particular focus on regional dialects such as Moroccan Arabic.
DOI: 10.5281/zenodo.15430178
title: Using Artificial Neural Networks to Accelerate Thermo-elastohydrodynamic Lubrication Simulations

description: Supplementary material to journal paper.
DOI: 10.17632/trt7d4b6s8
title: TDR Review

description: References used in the TDR review
DOI: 10.17632/trt7d4b6s8.1
title: TDR Review

description: References used in the TDR review
DOI: 10.15468/dl.mq8947
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "TaxonKey is Combretum indicum"
 ]
}

 The dataset includes 259 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021207-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pz9s2ph94d
title: Information about a laboratory railway system: a dataset that integrates dynamic parameters and images of wheel wear

description: The dataset provides a comprehensive record of the behavior of a 1:20 scale railway system, including:

Monitoring of crucial dynamic parameters: Data on acceleration (on three axes), angular velocity (on three axes), linear train speed, and current were collected using a variety of integrated sensors.

Recording of input parameters: Key experimental conditions were documented, including three train speed levels (0.75 m/s, 1.15 m/s, 1.4 m/s) and two braking areas (straight to curve and curve to straight), replicated in 19 runs for each combination.

Wear evolution results: High-resolution images of the wheel profile (with and without pulley) were obtained using a digital optical microscope, capturing surface wear at different stages.

These data allow direct linking of dynamic parameters to wheel wear evolution under various operating conditions.
DOI: 10.17632/pz9s2ph94d.1
title: Information about a laboratory railway system: a dataset that integrates dynamic parameters and images of wheel wear

description: The dataset provides a comprehensive record of the behavior of a 1:20 scale railway system, including:

Monitoring of crucial dynamic parameters: Data on acceleration (on three axes), angular velocity (on three axes), linear train speed, and current were collected using a variety of integrated sensors.

Recording of input parameters: Key experimental conditions were documented, including three train speed levels (0.75 m/s, 1.15 m/s, 1.4 m/s) and two braking areas (straight to curve and curve to straight), replicated in 19 runs for each combination.

Wear evolution results: High-resolution images of the wheel profile (with and without pulley) were obtained using a digital optical microscope, capturing surface wear at different stages.

These data allow direct linking of dynamic parameters to wheel wear evolution under various operating conditions.
DOI: 10.17632/2s4m9f67mc
title: Disease characteristics in adult-onset dermatomyositis are associated with neighborhood-level area deprivation index

description: Supplement material for "Disease characteristics in adult-onset dermatomyositis are associated with neighborhood-level area deprivation index," published in the Journal of the American Academy of Dermatology.
DOI: 10.7910/dvn/14ct0s
title: Bangladesh Women's Life Choices and Attitudes Survey

description: WiLCAS 2014 (Women's Life Choices and Attitudes Survey) is a nationally representative survey of women in Bangladesh between the ages of 20 and 39, designed to investigate how improved access to secondary schooling for women impact upon long-term outcomes related to employment, migration, marriage, childbirth and investment in children.

The survey is being conducted by the University of Kent and the University of Malaya in collaboration with DATA, Bangladesh (Data Analysis and Technical Assistance).

In the first phase of the survey, the enumeration team visited, between May and July 2014, all households included in the rural sample of the 2010 Bangladesh Household Income and Expenditures Survey which included at least one woman aged between 16 and 35 in 2010, and a random 50% of households in the same sample without any women in this age group. In addition, the enumeration team conducted a census of 75 urban primary sampling units (PSU) in Bangladesh, and 20 households were randomly chosen from each to be included in the survey.

For each household included in WiLCAS 2014, the team implemented a short household questionnaire and an individual questionnaire for each female household member between the ages of 20 and 39. The individual questionnaire included modules on education, marriage, childbirth and child-related investments, social networks, subjective well-being, aspirations, and attitudes towards traditional norms.
DOI: 10.17632/2s4m9f67mc.1
title: Disease characteristics in adult-onset dermatomyositis are associated with neighborhood-level area deprivation index

description: Supplement material for "Disease characteristics in adult-onset dermatomyositis are associated with neighborhood-level area deprivation index," published in the Journal of the American Academy of Dermatology.
DOI: 10.17632/wdy439h384
title: Supplemental Materials: Assessing the Protective Role of Sirolimus Against Non-Melanoma Skin Cancer: A Case Series

description: Supplementary tables 1-2 and figures 1-3 for "Assessing the Protective Role of Sirolimus Against Non-Melanoma Skin Cancer: A Case Series."
DOI: 10.17632/wdy439h384.1
title: Supplemental Materials: Assessing the Protective Role of Sirolimus Against Non-Melanoma Skin Cancer: A Case Series

description: Supplementary tables 1-2 and figures 1-3 for "Assessing the Protective Role of Sirolimus Against Non-Melanoma Skin Cancer: A Case Series."
DOI: 10.34740/kaggle/dsv/12532443
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.n4c2nn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pithecia monachus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021208-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16263027
title: Data for SPDC in FNLC
DOI: 10.5281/zenodo.16263026
title: Data for SPDC in FNLC
DOI: 10.15468/dl.ykh87c
title: Occurrence Download

description: A dataset containing 2231 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus palustris"
 ]
}

 The dataset includes 2231 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021209-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anffvk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pithecia monachus)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021212-250717081556266/datasets/export for details.
DOI: 10.15468/dl.5d25z7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Pithecia monachus)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021213-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16263056
title: Chebifier 2: An ensemble for chemistry - supplementary data
DOI: 10.5281/zenodo.16263057
title: Chebifier 2: An ensemble for chemistry - supplementary data
DOI: 10.17632/sbcwcb7g9h
title: GenAI-LA-LD Survey Dataset – Educator Perceptions on Integration of Generative AI, Learning Analytics, and Learning Design

description: Overview:
This dataset was collected as part of a quantitative survey-based study conducted in higher education institutions in the UAE and India. The study explores educators' and instructional designers’ perceptions of integrating Generative AI (GenAI), Learning Analytics (LA), and Learning Design (LD) to inform educational decision-making and instructional improvement.

Purpose:
To validate the GenAI-LA-LD Synergy Framework and identify key predictors of adoption intent, usability, and institutional readiness for integrating GenAI, LA, and LD in higher education pedagogy.

📋 Data Collection
Method: Online structured survey

Participants: 312 respondents (university faculty and instructional designers)

Countries: United Arab Emirates and India

Timeframe: March–May 2025

Format: CSV/Excel compatible with Jamovi, SPSS, and R

📁 Variables Included
Variable Name Description Type Scale
Respondent_ID Unique anonymized ID per respondent Categorical Nominal
Country Country of respondent (UAE or India) Categorical Nominal
DigitalConfidence Confidence in using digital tools Numeric 1–5 Likert
InstitutionalTraining Perception of institutional training and support Numeric 1–5 Likert
PedagogicalAlignment Degree of alignment between GenAI/LA tools and pedagogy Numeric 1–5 Likert
PerceivedUsefulness Usefulness of GenAI and LA tools for instruction Numeric 1–5 Likert
EaseOfIntegration Ease of integrating these tools in teaching workflows Numeric 1–5 Likert
EthicalConcerns Concern about ethics, privacy, and responsible AI use Numeric 1–5 Likert
IntentionToAdopt Likelihood of adopting GenAI-LA-LD integration in future practices Numeric 1–5 Likert

📊 Use Cases for Analysis
Descriptive statistics and visualization

Reliability analysis (Cronbach’s alpha)

Correlation and multiple regression

One-way ANOVA for country-based comparisons

Factor analysis and validation of the GenAI-LA-LD Synergy model

🧪 Potential Applications
Policy research on AI in education

Learning design innovation tracking

Faculty development and digital readiness assessment

Comparative studies between countries or institutions