cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5258/soton/d3523
title: Data for Thesis: Development of multiple enzyme patterning within self-assembling nanoclay gel towards an artificial Golgi Apparatus_JMcGuire_2024

description: Dataset containing experimental data for PhD Thesis: Development of multiple enzyme patterning within self-assembling nanoclay gel towards an artificial Golgi Apparatus. 

Files contain raw experimental data and data analysis files (.tiff format images and .csv files for Microsoft Excel, R Studio, Python). The data will be accessible after an embargo period of three year (1.6.28) due to patent pending.
DOI: 10.15468/dl.xvnjtx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes oblongella Ostrup, 1902",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054404-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jbw9ts
title: Occurrence Download

description: A dataset containing 4591 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is WII Herbarium Dataset"
 ]
}

 The dataset includes 4591 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054403-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wbypdb
title: Occurrence Download

description: A dataset containing 29491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervus canadensis Erxleben, 1777"
 ]
}

 The dataset includes 29491 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054401-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pwr5zzw64n.1
title: Survey Data to Evaluate Faculty Motivation, Management Support and Faculty Engagement on the Performance of Higher Educational Institutions

description: A survey was conducted to capture the antecedents of the performance of Higher Educational Institutions in Bhubaneswar, Cuttack, Ganjam, Puri and Sambalpur in the Odisha state of India. 436 faculty members from 55 higher educational institutions were contacted to elicit survey data on three exogenous variables namely, managerial support, faculty motivation, faculty engagement and the exogenous variable HEI performance. Data from the paper-based questionnaire survey was analyzed to evaluate direct and indirect causal relationships using SmartPLS 4.0 software.
DOI: 10.17632/f9zyrzcfpd
title: Deep sphingolipidomic and metabolomic analyses of ceramide synthase 2 null mice reveal complex pathway-specific effects

description: This dataset presents comprehensive sphingolipid and metabolite profiles generated from a comparative study of wild-type and ceramide synthase 2 (CerS2) null mice, encompassing quantitative measurements of 259 individual sphingolipid species across 18 distinct tissue types. The data includes detailed sphingolipid profiles focusing on key measurements such as ceramide 1-phosphate, C26-sphingolipids, and t18:0-LCB ceramides, along with metabolomic profiles spanning six major metabolic pathways. These measurements provide a thorough comparison between wild-type and CerS2 null mice, offering valuable insights into sphingolipid metabolism and its broader metabolic connections, particularly relevant for studies involving ceramide synthases and tissue-specific lipid metabolism.
DOI: 10.17632/f9zyrzcfpd.1
title: Deep sphingolipidomic and metabolomic analyses of ceramide synthase 2 null mice reveal complex pathway-specific effects

description: This dataset presents comprehensive sphingolipid and metabolite profiles generated from a comparative study of wild-type and ceramide synthase 2 (CerS2) null mice, encompassing quantitative measurements of 259 individual sphingolipid species across 18 distinct tissue types. The data includes detailed sphingolipid profiles focusing on key measurements such as ceramide 1-phosphate, C26-sphingolipids, and t18:0-LCB ceramides, along with metabolomic profiles spanning six major metabolic pathways. These measurements provide a thorough comparison between wild-type and CerS2 null mice, offering valuable insights into sphingolipid metabolism and its broader metabolic connections, particularly relevant for studies involving ceramide synthases and tissue-specific lipid metabolism.
DOI: 10.17632/ybc2ycrpkw
title: Haanes et al 2025 Measurments Stampa

description: These are alpha track detector and in-situ measurement data made outdoors and in bedrock fractures at Stampa, Western Norway, which are used in the publication of Haanes et al 2025 in Frontiers with DOI 10.3389/fenvs.2025.1599780
DOI: 10.17632/ybc2ycrpkw.1
title: Haanes et al 2025 Measurments Stampa

description: These are alpha track detector and in-situ measurement data made outdoors and in bedrock fractures at Stampa, Western Norway, which are used in the publication of Haanes et al 2025 in Frontiers with DOI 10.3389/fenvs.2025.1599780
DOI: 10.15468/dl.h25yqk
title: Occurrence Download

description: A dataset containing 13352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Living Specimen, Occurrence evidence, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chelostoma rapunculi (Lepeletier, 1841)",
 "Year 1000-2025"
 ]
}

 The dataset includes 13352 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054405-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/txk4x6dk4v
title: Programmable DNA Hairpin Locker: Dual-Layer Encrypted Carrier Communication

description: These data are applied to the Supplementary Information Figures S20, S21 and S23 of the article "Programmable DNA Hairpin Locker: Dual-Layer Encrypted Carrier Communication".
DOI: 10.17632/txk4x6dk4v.2
title: Programmable DNA Hairpin Locker: Dual-Layer Encrypted Carrier Communication

description: These data are applied to the Supplementary Information Figures S20, S21 and S23 of the article "Programmable DNA Hairpin Locker: Dual-Layer Encrypted Carrier Communication".
DOI: 10.5281/zenodo.15690316
title: Embroidered paper-based electrochemical wearable device for pH monitoring in wounds
DOI: 10.5281/zenodo.15690317
title: Embroidered paper-based electrochemical wearable device for pH monitoring in wounds
DOI: 10.15468/dl.yp6cyf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes oblongella Ostrup, 1902",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054406-250525065834625/datasets/export for details.
DOI: 10.17632/2zpg636krc.2
title: Hindu Muslim Hate Comments Dataset in Bangla (Bangladesh and India)

description: The religious dataset consisting of Hindu and Muslim hate comments from Bangladesh and India in the Bangla language is a collection of online comments that contain religious hate speech targeting either the Hindu or Muslim communities. These comments were gathered from various sources such as newspapers, social media platforms, and online forums. The purpose of collecting this data is to analyze the prevalence of religious intolerance, identify patterns in hate speech, and contribute to the development of tools for automatically detecting and mitigating such content.

Key Features of the Dataset:
Source and Collection:

Comments were sourced from both Bangladesh and India, reflecting religious sentiments in these neighboring countries where tensions between religious groups have often been a social issue.
Sources include Bangla-language social media, news articles, opinion pieces, and comments sections on websites.

Content:
The dataset contains a mix of both Hindu-targeted hate speech and Muslim-targeted hate speech, with derogatory, offensive, and inflammatory remarks based on religion.
Hate comments include stereotypical statements, incitement to violence, communal hatred, and discriminatory language directed at members of the opposing community.

Purpose and Use Cases:
Hate Speech Detection: This dataset is useful for developing machine learning models that can automatically identify and flag harmful content on social media platforms.
Social Science Research: Researchers can study the psychological and sociopolitical factors that drive such hate speech.
Policy and Moderation Tools: Governments, social media platforms, and civil society organizations can use insights from this dataset to design anti-hate speech policies and create moderation systems that reduce online hate.

Challenges:
Contextual Nuances: Understanding the cultural and religious context of Bangla comments is crucial for accurately identifying hate speech. A comment that might seem neutral in one context could be deeply offensive in another.
Code-Switching: Some comments might mix Bangla with English or regional languages, complicating the classification and sentiment analysis process.
Bias in Data: The dataset might reflect a certain level of social bias depending on the region from which it was collected, which needs to be addressed when training AI models.

Conclusion:
This dataset offers valuable insights into the dynamics of religious hate speech in Bangladesh and India, two countries with diverse religious populations and a history of interfaith tension. It can help in the development of tools for mitigating online hate speech, while also fostering better understanding and tolerance across religious communities.
DOI: 10.17632/cnmsk6jrfr.1
title: Decoupling Interfacial Tension Reduction and Wettability Alteration during Surfactant Flooding: A Lattice Boltzmann Approach

description: This is the original data for the manuscript "Decoupling Interfacial Tension Reduction and Wettability Alteration during Surfactant Flooding: A Lattice Boltzmann Approach".
DOI: 10.15468/dl.azdjpp
title: Occurrence Download

description: A dataset containing 4798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Material sample)"
 ]
 }
 },
 "TaxonKey is Bradypterus sylvaticus Sundevall, 1860",
 "Continent is one of (Africa)",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4798 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054408-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.29352659
title: Teachers' learning through post-lesson reflection in Lesson Study, how they conduct post-lesson reflection, and how do they develop and improve themselves professionally within Lesson Study

description: The study investigated the learnings gained by teachers who are involved in lesson study as they engage in post-lesson reflection/discussion each time after the lesson has been taught. The data uploaded contains transcripts of lesson presentations by the teachers, lesson observation tools, semi-structured interviews held with teachers, and post-lesson reflection discussions that teachers held after each lesson. Hence, the data was collected using video recordings, which were transcribed; lesson observation tools completed by the teachers and researcher; and interview sessions. The video-recorded lessons were transcribed into words. The data was analysed using qualitative methods of identifying themes and sub-themes that emerged from the data. Qualitative methods of analysing data were used because the researcher analysed written statements and not numeric data. Common trends were identified and captured in numerous excerpts through which meanings and interpretations were inferred. These were done in all the identified themes and were used to arrive at the research findings and discussions.
DOI: 10.25403/upresearchdata.29352659.v1
title: Teachers' learning through post-lesson reflection in Lesson Study, how they conduct post-lesson reflection, and how do they develop and improve themselves professionally within Lesson Study

description: The study investigated the learnings gained by teachers who are involved in lesson study as they engage in post-lesson reflection/discussion each time after the lesson has been taught. The data uploaded contains transcripts of lesson presentations by the teachers, lesson observation tools, semi-structured interviews held with teachers, and post-lesson reflection discussions that teachers held after each lesson. Hence, the data was collected using video recordings, which were transcribed; lesson observation tools completed by the teachers and researcher; and interview sessions. The video-recorded lessons were transcribed into words. The data was analysed using qualitative methods of identifying themes and sub-themes that emerged from the data. Qualitative methods of analysing data were used because the researcher analysed written statements and not numeric data. Common trends were identified and captured in numerous excerpts through which meanings and interpretations were inferred. These were done in all the identified themes and were used to arrive at the research findings and discussions.
DOI: 10.15468/dl.pcv2h9
title: Occurrence Download

description: A dataset containing 3658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Netherlands, Belgium)",
 "TaxonKey is Amara aenea (DeGeer, 1774)"
 ]
}

 The dataset includes 3658 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054409-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fz5rzs6w22
title: Spatial Climate Heterogeneity in Qinghai-tibet Plateau

description: This data sets includes spatial cliamte heterogeneity, quntified by Shannon Diversity Index (SHDI) at the fixed grided cell of 50km x50km. We used the SHDI analyze the relationship between climate heterogenety and vegetation migration under climate change between 1990 and 2020.
DOI: 10.15468/dl.qr7nqa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Phymaturus denotatus Lobo, Nenda & Slodki, 2012"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054410-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fz5rzs6w22.1
title: Spatial Climate Heterogeneity in Qinghai-tibet Plateau

description: This data sets includes spatial cliamte heterogeneity, quntified by Shannon Diversity Index (SHDI) at the fixed grided cell of 50km x50km. We used the SHDI analyze the relationship between climate heterogenety and vegetation migration under climate change between 1990 and 2020.
DOI: 10.17632/pkcjsc72d5
title: Group Interventions Targeting Workplace Conflict in Healthcare Teams

description: Raw CMA dataset
DOI: 10.17632/pkcjsc72d5.1
title: Group Interventions Targeting Workplace Conflict in Healthcare Teams

description: Raw CMA dataset
DOI: 10.17632/j6mxgsg6b8.1
title: Data and analysis for: Induction of immunosuppressive IL1B+ TAM in inflammatory IL-iCAF stromal niche in HNSCC

description: Data and analysis for: Induction of immunosuppressive IL1B+ TAM in inflammatory IL-iCAF stromal niche in HNSCC
DOI: 10.5281/zenodo.15691207
title: hydromt-fiat-data

description: HydroMT-FIAT build/ test data

For individual dataset licenses, check either the yaml or the original dataset provider.

v0.1.6: More designated vuln curves id's, purpose exposure grid build data. Smaller fiat model.

v0.1.5: Renaming variables, files and headers. Add model data without subtype.

v0.1.4: Added FIAT model based on HydroMT-FIAT itself

v0.1.3: Added a dummy FIAT model (based on delft-fiat testdata model); Added extra columns and renamed columns in the linking tables. 

v0.1.2: Cache data for osm, osm data catalog entries, new smaller region (extra)

v0.1.1: Better format for vulnerability data

v0.1.0: Add build data for HydroMT-FIAT (exposure, hazard & vulnerability).
DOI: 10.17632/fzrt5rh447
title: Trained YOLOv7 Models' Weights for weed detection

description: best_yolov7.pt
This file contains the trained weights of the YOLOv7 base model for weed and cotton detection using UAV imagery. The model was trained on annotated agricultural field images to classify and localize cotton plants and weeds with high precision. This checkpoint represents the best-performing epoch based on mAP@0.5 evaluation.

best_yolov7w6.pt
This is the trained weight file of the YOLOv7-w6 variant, a larger and deeper model architecture optimized for higher capacity and better generalization in complex agricultural environments. The model was trained on the same UAV dataset and achieved competitive performance.

best_yolov7x.pt
This .pt file contains the trained weights for the YOLOv7-x variant, the most advanced version used in this study. It was trained on UAV-captured agricultural imagery for cotton and weed detection, and it showed the highest overall precision among the tested variants. This model is suitable for tasks requiring enhanced accuracy and robustness.
DOI: 10.17632/fzrt5rh447.1
title: Trained YOLOv7 Models' Weights for weed detection

description: best_yolov7.pt
This file contains the trained weights of the YOLOv7 base model for weed and cotton detection using UAV imagery. The model was trained on annotated agricultural field images to classify and localize cotton plants and weeds with high precision. This checkpoint represents the best-performing epoch based on mAP@0.5 evaluation.

best_yolov7w6.pt
This is the trained weight file of the YOLOv7-w6 variant, a larger and deeper model architecture optimized for higher capacity and better generalization in complex agricultural environments. The model was trained on the same UAV dataset and achieved competitive performance.

best_yolov7x.pt
This .pt file contains the trained weights for the YOLOv7-x variant, the most advanced version used in this study. It was trained on UAV-captured agricultural imagery for cotton and weed detection, and it showed the highest overall precision among the tested variants. This model is suitable for tasks requiring enhanced accuracy and robustness.
DOI: 10.17632/mdpdp2nm6g
title: CATENA Manuscript Data

description: Research data of the manuscript
DOI: 10.17632/mdpdp2nm6g.1
title: CATENA Manuscript Data

description: Research data of the manuscript
DOI: 10.17632/rnmz2kgt3j
title: Olink proteomics analysis of scalp seborrheic dermatitis reveals partial pathophysiological similarity with psoriasis

description: The raw data supporting the results of this article.
DOI: 10.17632/rnmz2kgt3j.2
title: Olink proteomics analysis of scalp seborrheic dermatitis reveals partial pathophysiological similarity with psoriasis

description: The raw data supporting the results of this article.
DOI: 10.17632/ck75k2k5p7
title: Tikhonov-GCV, RNN, LSTM, and Bi LSTM inversion curve data based on measured impact load data

description: This data is the Tikhonov-GCV, RNN, LSTM, and Bi LSTM inversion curve data based on impact load measurement data. The experimental data comes from the impact load test on the reinforced plate. The specific operation is as follows: six fixed position sensors are set at the bottom of the reinforced plate, and symmetry is avoided between each position. During the experiment, a force hammer is used to strike the top of the reinforced plate. The data collector is responsible for collecting the load curve of the force hammer and the response data collected by the six sensors. The reinforced plate is divided into small areas and each small area is calibrated and used as a training sample. Then, 36 sets of tests are conducted, and each set of tests uses four algorithms to invert the response data and obtain the load curve. The file includes 36 sets of inversion data, each set containing 9 columns of data. The first column is the timeline, and every two columns are the real load data and the corresponding method inversion load data. The order of the corresponding methods is Tikhonov-GCV, RNN, LSTM, and Bi LSTM.
DOI: 10.17632/ck75k2k5p7.1
title: Tikhonov-GCV, RNN, LSTM, and Bi LSTM inversion curve data based on measured impact load data

description: This data is the Tikhonov-GCV, RNN, LSTM, and Bi LSTM inversion curve data based on impact load measurement data. The experimental data comes from the impact load test on the reinforced plate. The specific operation is as follows: six fixed position sensors are set at the bottom of the reinforced plate, and symmetry is avoided between each position. During the experiment, a force hammer is used to strike the top of the reinforced plate. The data collector is responsible for collecting the load curve of the force hammer and the response data collected by the six sensors. The reinforced plate is divided into small areas and each small area is calibrated and used as a training sample. Then, 36 sets of tests are conducted, and each set of tests uses four algorithms to invert the response data and obtain the load curve. The file includes 36 sets of inversion data, each set containing 9 columns of data. The first column is the timeline, and every two columns are the real load data and the corresponding method inversion load data. The order of the corresponding methods is Tikhonov-GCV, RNN, LSTM, and Bi LSTM.
DOI: 10.15468/dl.r8s4v2
title: Occurrence Download

description: A dataset containing 985 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Colletes kincaidii Cockerell, 1898",
 "Year 1000-2025"
 ]
}

 The dataset includes 985 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054411-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.