cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/uschist-ouc113232083
title: Daily Trojan, vol. 62, no. 119, May 7, 1971

description: University of Southern California Daily Trojan, vol. 62, no. 119, May 7, 1971.
DOI: 10.25549/uschist-ouc113242788
title: Daily Trojan, vol. 68, no. 113, Apr 21, 1976

description: Daily Trojan, vol. 68, no. 113, April 21, 1976.
DOI: 10.25549/uschist-ouc113242708
title: Daily Trojan, vol. 68, no. 119, Apr 29, 1976

description: Daily Trojan, vol. 68, no. 118 [sic, i.e. 119], April 29, 1976.
DOI: 10.25549/uschist-ouc113242743
title: Daily Trojan, vol. 68, no. 122, May 4, 1976

description: Daily Trojan, vol. 68, no. 122, May 4, 1976.
DOI: 10.25549/uschist-ouc113242704
title: Daily Trojan, vol. 68, no. 126, May 10, 1976

description: Daily Trojan SoCal, vol. 68, no. 126, May 10, 1976.
DOI: 10.25549/uschist-ouc113242741
title: Daily Trojan, vol. 68, no. 128, May 12, 1976

description: Daily Trojan, vol. 68, no. 128, May 12, 1976.
DOI: 10.25549/uschist-ouc113229613
title: Summer Trojan, vol. 63, no. 9, July 13, 1971

description: University of Southern California Summer Trojan, vol. 63, no. 9, July 13, 1971.
DOI: 10.25549/uschist-ouc113231871
title: Summer Trojan, vol. 63, no. 14, Aug 11, 1971

description: University of Southern California Summer Trojan, vol. 63, no. 14, August 11, 1971.
DOI: 10.5281/zenodo.18720356
title: TRENINGLARDA O'YIN VA ROLLI O'YIN METODLARIDAN FOYDALANISH

description: Maqolada trening jarayonida o‘yin va rolli o‘yin metodlarining psixologik va pedagogik samaradorligi tahlil qilinadi. Tadqiqotning maqsadi trening mashg‘ulotlarida o‘yin va rolli o‘yin metodlarini qo‘llash orqali ishtirokchilarning motivatsiyasini oshirish, kommunikativ ko‘nikmalarini rivojlantirish, stressga chidamlilik va ijtimoiy moslashuvchanlikni mustahkamlash imkoniyatlarini aniqlashdan iborat. Tadqiqot nazariy tahlil va empirik eksperiment asosida o‘tkazildi. Empirik qismda guruhiy trening mashg‘ulotlarida o‘yin va rolli o‘yin metodlari tatbiq etildi, ishtirokchilarning psixologik holati, faolligi va o‘zaro muloqot qobiliyatlari kuzatildi va baholandi. Tadqiqot natijalari shuni ko‘rsatdiki, o‘yin va rolli o‘yin metodlari trening jarayonida shaxsning ijtimoiy faolligini oshirish, o‘zini anglash va boshqarish qobiliyatlarini rivojlantirish hamda stressga chidamliligini kuchaytirishda samarali vosita hisoblanadi. Natijalar pedagogika, psixologiya va trening amaliyoti sohalarida qo‘llanilishi mumkin.
DOI: 10.25549/uschist-ouc113231750
title: Summer Trojan, vol. 63, no. 16, Aug 25, 1971

description: University of Southern California Summer Trojan, vol. 63, no. 16, August 25, 1971.
DOI: 10.5281/zenodo.18720355
title: TRENINGLARDA O'YIN VA ROLLI O'YIN METODLARIDAN FOYDALANISH

description: Maqolada trening jarayonida o‘yin va rolli o‘yin metodlarining psixologik va pedagogik samaradorligi tahlil qilinadi. Tadqiqotning maqsadi trening mashg‘ulotlarida o‘yin va rolli o‘yin metodlarini qo‘llash orqali ishtirokchilarning motivatsiyasini oshirish, kommunikativ ko‘nikmalarini rivojlantirish, stressga chidamlilik va ijtimoiy moslashuvchanlikni mustahkamlash imkoniyatlarini aniqlashdan iborat. Tadqiqot nazariy tahlil va empirik eksperiment asosida o‘tkazildi. Empirik qismda guruhiy trening mashg‘ulotlarida o‘yin va rolli o‘yin metodlari tatbiq etildi, ishtirokchilarning psixologik holati, faolligi va o‘zaro muloqot qobiliyatlari kuzatildi va baholandi. Tadqiqot natijalari shuni ko‘rsatdiki, o‘yin va rolli o‘yin metodlari trening jarayonida shaxsning ijtimoiy faolligini oshirish, o‘zini anglash va boshqarish qobiliyatlarini rivojlantirish hamda stressga chidamliligini kuchaytirishda samarali vosita hisoblanadi. Natijalar pedagogika, psixologiya va trening amaliyoti sohalarida qo‘llanilishi mumkin.
DOI: 10.25549/uschist-ouc113231709
title: Daily Trojan, vol. 64, no. 6, Sep 27, 1971

description: University of Southern California Daily Trojan, vol. 64, no. 6, September 27, 1971.
DOI: 10.25549/uschist-ouc113231801
title: Daily Trojan, vol. 64, no. 9, Sep 30, 1971

description: University of Southern California Daily Trojan, vol. 64, no. 9, September 30, 1971.
DOI: 10.25549/uschist-ouc113242845
title: Daily Trojan, vol. 68, no. 86, Mar 4, 1976

description: Daily Trojan, vol. 68, no. 85 [sic, i.e. 86], March 4, 1976.
DOI: 10.25549/uschist-ouc113242755
title: Daily Trojan, vol. 68, no. 87, Mar 5, 1976

description: Daily Trojan, vol. 68, no. 86 [sic, i.e. 87], March 5, 1976.
DOI: 10.25549/uschist-ouc113242757
title: Daily Trojan, vol. 68, no. 88, Mar 8, 1976

description: Daily Trojan, vol. 68, no. 88, March 8, 1976.
DOI: 10.5281/zenodo.14865237
title: BDF-18K Dataset(ForestFireDataset)

description: BDF-18K Dataset (BoWFire - Dataset for Fire and Smoke - Forest FireDataset)

This dataset is designed to support forest fire detection tasks, combining public and proprietary datasets, and is named BDF-18K. It contains images from the BoWFire and DFS public datasets, as well as a self-collected dataset captured in a forest area in Shifeng District, Zhuzhou City, Hunan Province, China. This dataset covers various forest fire scenarios and features.

Dataset Composition:





Public Datasets:



BoWFire: Includes 122 images, mainly for building fires, industrial fires, etc.

DFS Dataset: Includes 9462 images, involving static images of flames, smoke, and background.





Self-collected Dataset:



ForestFireDataset: Captured using drones and handheld devices, emphasizing dynamic scenes, multiple perspectives, and complex backgrounds. This dataset provides valuable data for simulating real-world forest fire rescue scenarios.

Capture Equipment:



DJI Mavic 2 Dual (Low altitude capture, covering different perspectives, lighting conditions)

DJI Matrice 300 RTK with Zenmuse H20T camera (High-altitude capture, supports infrared and visible light modes)

Moto Edge X30 phone (Simulating the perspective of a firefighter, capturing close-up fire details)



Capture Location: A typical forest area in Zhuzhou, Hunan Province, representing the natural environment and climate of Southern China.




Dataset Content:



Flames (small and large scale), smoke (light and dense smoke), firefighters, volunteers, and environmental backgrounds (vegetation, bare ground).

Image resolution: 1920x1080, frames extracted at 30 FPS.


Dataset Labeling:



The dataset uses the "fire" label for marking fire spots, suitable for training models such as YOLO.


Dataset Splits:



The dataset is split into 70% for the training set, 20% for the validation set, and 10% for the test set. Each subset is balanced in terms of class distribution to ensure fair training and evaluation.


Public Datasets Download:



The BoWFire and DFS datasets are public and can be downloaded independently. Specific download links can be found in the relevant documentation or release channels.



BoWFire Dataset: Includes building fires, industrial fires, and other scenarios, as well as images with no obvious flames (e.g., sunsets or red/yellow objects), making it useful for fire detection.

DFS Dataset: Contains flames, smoke, and background images, suitable for fire and smoke detection tasks.




Dataset Citation:



Yu, Q., Xiao, J., Liu, W. (2026). BDF-18K Dataset (Forest Fire Detection). Zenodo. https://doi.org/10.5281/zenodo.14865237


Citation Requirement:

If you use the BDF-18K dataset in your research, please cite both the dataset and the following publication:

Q. Yu et al., “FFDNet: An End-to-End Lightweight Real-Time Fire Detection Model for Forest Fire Environments,” Physics and Chemistry of the Earth, 2026.https://doi.org/10.1016/j.pce.2026.104325

Failure to cite the associated publication may constitute misuse of the dataset.
DOI: 10.5281/zenodo.14865236
title: BDF-18K Dataset(ForestFireDataset)

description: BDF-18K Dataset (BoWFire - Dataset for Fire and Smoke - Forest FireDataset)

This dataset is designed to support forest fire detection tasks, combining public and proprietary datasets, and is named BDF-18K. It contains images from the BoWFire and DFS public datasets, as well as a self-collected dataset captured in a forest area in Shifeng District, Zhuzhou City, Hunan Province, China. This dataset covers various forest fire scenarios and features.

Dataset Composition:





Public Datasets:



BoWFire: Includes 122 images, mainly for building fires, industrial fires, etc.

DFS Dataset: Includes 9462 images, involving static images of flames, smoke, and background.





Self-collected Dataset:



ForestFireDataset: Captured using drones and handheld devices, emphasizing dynamic scenes, multiple perspectives, and complex backgrounds. This dataset provides valuable data for simulating real-world forest fire rescue scenarios.

Capture Equipment:



DJI Mavic 2 Dual (Low altitude capture, covering different perspectives, lighting conditions)

DJI Matrice 300 RTK with Zenmuse H20T camera (High-altitude capture, supports infrared and visible light modes)

Moto Edge X30 phone (Simulating the perspective of a firefighter, capturing close-up fire details)



Capture Location: A typical forest area in Zhuzhou, Hunan Province, representing the natural environment and climate of Southern China.




Dataset Content:



Flames (small and large scale), smoke (light and dense smoke), firefighters, volunteers, and environmental backgrounds (vegetation, bare ground).

Image resolution: 1920x1080, frames extracted at 30 FPS.


Dataset Labeling:



The dataset uses the "fire" label for marking fire spots, suitable for training models such as YOLO.


Dataset Splits:



The dataset is split into 70% for the training set, 20% for the validation set, and 10% for the test set. Each subset is balanced in terms of class distribution to ensure fair training and evaluation.


Public Datasets Download:



The BoWFire and DFS datasets are public and can be downloaded independently. Specific download links can be found in the relevant documentation or release channels.



BoWFire Dataset: Includes building fires, industrial fires, and other scenarios, as well as images with no obvious flames (e.g., sunsets or red/yellow objects), making it useful for fire detection.

DFS Dataset: Contains flames, smoke, and background images, suitable for fire and smoke detection tasks.




Dataset Citation:



Yu, Q., Xiao, J., Liu, W. (2026). BDF-18K Dataset (Forest Fire Detection). Zenodo. https://doi.org/10.5281/zenodo.14865237


Citation Requirement:

If you use the BDF-18K dataset in your research, please cite both the dataset and the following publication:

Q. Yu et al., “FFDNet: An End-to-End Lightweight Real-Time Fire Detection Model for Forest Fire Environments,” Physics and Chemistry of the Earth, 2026.https://doi.org/10.1016/j.pce.2026.104325

Failure to cite the associated publication may constitute misuse of the dataset.
DOI: 10.25549/uschist-ouc113242801
title: Daily Trojan, vol. 68, no. 101, Mar 25, 1976

description: Daily Trojan, vol. 68, no. 101, March 25, 1976.
DOI: 10.25549/uschist-ouc113242835
title: Daily Trojan, vol. 68, no. 105, Mar 31, 1976

description: Daily Trojan, vol. 68, no. 105, March 31, 1976.
DOI: 10.25549/uschist-ouc113242915
title: Daily Trojan, vol. 68, no. 107, Apr 2, 1976

description: Daily Trojan, vol. 68, no. 107, April 2, 1976.
DOI: 10.25549/uschist-ouc113242837
title: Daily Trojan, vol. 68, no. 108, Apr 5, 1976

description: Daily Trojan SoCal, vol. 68, no. 108, April 5, 1976.
DOI: 10.25549/uschist-ouc113242830
title: Daily Trojan, vol. 68, no. 124, May 6, 1976

description: Daily Trojan, vol. 68, no. 124, May 6, 1976.
DOI: 10.25549/uschist-ouc113242626
title: Summer Trojan, vol. 69, no. 8, July 13, 1976

description: Summer Trojan, vol. 69, no. 8, July 13, 1976.
DOI: 10.25549/uschist-ouc113242812
title: Daily Trojan, vol. 70, no. 12, Oct 5, 1976

description: Daily Trojan, vol. 70, no. 12, October 5, 1976.
DOI: 10.25549/uschist-ouc113236326
title: Daily Trojan, vol. 67, no. 15, Oct 4, 1974

description: Daily Trojan, vol. 67, no. 15, October 4, 1974.
DOI: 10.25549/uschist-ouc113236410
title: Daily Trojan, vol. 67, no. 16, Oct 7, 1974

description: Daily Trojan SoCal Magazine, vol. 67, no. 16, October 7, 1974.
DOI: 10.25549/uschist-ouc113236250
title: Daily Trojan, vol. 67, no. 20, Oct 11, 1974

description: Daily Trojan, vol. 67, no. 20, October 11, 1974.
DOI: 10.25549/uschist-ouc113236129
title: Daily Trojan, vol. 67, no. 38, Nov 7, 1974

description: Daily Trojan, vol. 67, no. 38, November 7, 1974.
DOI: 10.25549/uschist-ouc113236100
title: Daily Trojan, vol. 67, no. 44, Nov 19, 1974

description: Daily Trojan, vol. 67, no. 44, November 19, 1974.
DOI: 10.25549/uschist-ouc113242521
title: Daily Trojan, vol. 67, no. 77, Feb 21, 1975

description: Daily Trojan, vol. 67, no. 77, February 21, 1975.
DOI: 10.25549/uschist-ouc113242495
title: Daily Trojan, vol. 67, no. 84, Mar 4, 1975

description: Daily Trojan, vol. 67, no. 84, March 4, 1975.
DOI: 10.25549/uschist-ouc113242494
title: Daily Trojan, vol. 67, no. 85, Mar 5, 1975

description: Daily Trojan, vol. 67, no. 85, March 5, 1975.
DOI: 10.25549/uschist-ouc113242489
title: Daily Trojan, vol. 67, no. 109, Apr 17, 1975

description: Daily Trojan, vol. 67, no. 109, April 17, 1975.
DOI: 10.25549/uschist-ouc113242453
title: Daily Trojan, vol. 67, no. 110, Apr 18, 1975

description: Daily Trojan, vol. 67, no. 110, April 18, 1975.
DOI: 10.25549/uschist-ouc113235966
title: Daily Trojan, vol. 67, no. 48, Nov 25, 1974

description: Daily Trojan SoCal Magazine, vol. 67, no. 48, November 25, 1974.
DOI: 10.25549/uschist-ouc113236015
title: Daily Trojan, vol. 67, no. 58, Dec 13, 1974

description: Daily Trojan, vol. 67, no. 58, December 13, 1974.
DOI: 10.25549/uschist-ouc113242395
title: Daily Trojan, vol. 67, no. 70, Feb 10, 1975

description: Daily Trojan SoCal, vol. 68 [sic, i.e. 67], no. 70, February 10, 1975.
DOI: 10.25549/uschist-ouc113242463
title: Daily Trojan, vol. 67, no. 72, Feb 12, 1975

description: Daily Trojan, vol. 67, no. 72, February 12, 1975.
DOI: 10.25549/uschist-ouc113242623
title: Daily Trojan, vol. 67, no. 75, Feb 19, 1975

description: Daily Trojan, vol. 67, no. 75, February 19, 1975.
DOI: 10.5281/zenodo.14913874
title: Data from: Interpretable machine learning reveals context-dependent decision-making by migratory songbirds

description: This dataset contains data and analysis code used to generate the results presented in our paper "Context-dependent decision-making in migratory birds: The roles of regional climate and preceding weather". It is structured as follows:



data: preproceseed datasets used to train, test, and analyse FluxRGNN+ bird migration models



preprocessed: hourly NEXRAD weather radar data combined with ERA5 reanalysis data and H3 tessellation details

shapes: geographical shapes used for plotting



raw: raw NEXRAD weather radar data used to generate the preprocessed datasets.



nexrad: vertically integrated bird densities and average velocities used to train and evaluate FluxRGNN+ models

nexrad_vp_avg: average vertical profiles per radar and season used to determine ERA5 model levels



analysis: all relevant data and code used for the final analysis of FluxRGNN+ predictions. The environment.yml file can be used to install all required Python packages with conda.



artifacts: trained models, predictions, and Shapley values. The .csv files in the analysis folder can be used to find specific files in this folder (e.g. the file final_model_artifacts.csv contains the path to the trained models for spring and fall migration seasons respectively)

shap_values: processed (filtered and grouped) Shapley values generated by the script process_explanations.py

plots: figures generated by the Jupyter notebooks evaluate_models.ipynb, plot_predictions.ipynb, and analyse_explanations.ipynb




Model training and Shapley value computations were performed using the FluxRGNN and shap Github repositories.
DOI: 10.5281/zenodo.14913875
title: Data from: Interpretable machine learning reveals context-dependent decision-making by migratory songbirds

description: This dataset contains data and analysis code used to generate the results presented in our paper "Context-dependent decision-making in migratory birds: The roles of regional climate and preceding weather". It is structured as follows:



data: preproceseed datasets used to train, test, and analyse FluxRGNN+ bird migration models



preprocessed: hourly NEXRAD weather radar data combined with ERA5 reanalysis data and H3 tessellation details

shapes: geographical shapes used for plotting



raw: raw NEXRAD weather radar data used to generate the preprocessed datasets.



nexrad: vertically integrated bird densities and average velocities used to train and evaluate FluxRGNN+ models

nexrad_vp_avg: average vertical profiles per radar and season used to determine ERA5 model levels



analysis: all relevant data and code used for the final analysis of FluxRGNN+ predictions. The environment.yml file can be used to install all required Python packages with conda.



artifacts: trained models, predictions, and Shapley values. The .csv files in the analysis folder can be used to find specific files in this folder (e.g. the file final_model_artifacts.csv contains the path to the trained models for spring and fall migration seasons respectively)

shap_values: processed (filtered and grouped) Shapley values generated by the script process_explanations.py

plots: figures generated by the Jupyter notebooks evaluate_models.ipynb, plot_predictions.ipynb, and analyse_explanations.ipynb




Model training and Shapley value computations were performed using the FluxRGNN and shap Github repositories.
DOI: 10.25549/uschist-ouc113242710
title: Daily Trojan, vol. 70, no. 16, Oct 12, 1976

description: Daily Trojan, vol. 70, no. 16, October 12, 1976.
DOI: 10.25549/uschist-ouc113242595
title: Daily Trojan, vol. 70, no. 22, Oct 20, 1976

description: Daily Trojan, vol. 70, no. 22, October 20, 1976.
DOI: 10.25549/uschist-ouc113242548
title: Daily Trojan, vol. 70, no. 30, Nov 1, 1976

description: Daily Trojan SoCal, vol. 70, no. 30, November 1, 1976.
DOI: 10.25549/uschist-ouc113242588
title: Daily Trojan, vol. 70, no. 46, Dec 2, 1976

description: Daily Trojan, vol. 70, no. 46, December 2, 1976.
DOI: 10.25549/uschist-ouc113243341
title: Daily Trojan, vol. 70, no. 56, Jan 4, 1977

description: Daily Trojan, vol. 70, no. 56, January 4, 1977.
DOI: 10.5281/zenodo.18720380
title: Ipseity Daily Data

description: At what rate do individuals say they are X?

Begining on 2025-07-08, I surveyed a small random sample of American adults on a daily cadence.  They responded to many items of the form: Does <signifier> describe you today?

The file ipseity-daily-aggregated.csv in this repository contains the aggregated results through 2025-07-28.  The columns are as follows:



signifier - a word, phrase or emoji

yes_count - the number of respondents who answered yes (aggregated all-time).

no_count - the number of respondents who answered no (aggregated all-time).

prevalence_per_10k - an estimate of the prevalence per 10,000.  If we were to survey 10,000 American adults, how many would we expect to respond yes to this signifier?  The number is calculated as yes_count / (yes_count + no_count) * 10,000.

earliest_obs_date - this date represents the first time this particular signifier was ever displayed to a respondent.  Signifiers are chosen with stochasticity from a long list; new signifiers are sometimes added, old signifiers are sometimes deleted, and a signifier may be moved higher or lower in priority for sampling.

latest_obs_date - the date closest to the present date on which signifier was most recently presented to a respondent.


Version created on 2026-02-21 — cumulative data.
DOI: 10.25549/uschist-ouc113242865
title: Daily Trojan, vol. 68, no. 130, May 14, 1976

description: Daily Trojan, vol. 67 [sic, i.e. 68], no. 130, May 14, 1976.
DOI: 10.25549/uschist-ouc113242659
title: Summer Trojan, vol. 69, no. 7, July 9, 1976

description: Summer Trojan, vol. 69, no. 7, July 9, 1976.
DOI: 10.25549/uschist-ouc113242731
title: Summer Trojan, vol. 69, no. 13, July 30, 1976

description: Summer Trojan, vol. 69, no. 13, July 30, 1976.
DOI: 10.25549/uschist-ouc113242701
title: Daily Trojan, vol. 70, no. 2, Sep 21, 1976

description: Daily Trojan, vol. 70, no. 2, September 21, 1976.
DOI: 10.25549/uschist-ouc113242764
title: Daily Trojan, vol. 70, no. 5, Sep 24, 1976

description: Daily Trojan, vol. 70, no. 5, September 24, 1976.
DOI: 10.25549/uschist-ouc113242613
title: Daily Trojan, vol. 67, no. 86, Mar 6, 1975

description: Daily Trojan, vol. 67, no. 86, March 6, 1975.
DOI: 10.25549/uschist-ouc113242457
title: Daily Trojan, vol. 67, no. 89, Mar 11, 1975

description: Daily Trojan, vol. 67, no. 89, March 11, 1975.
DOI: 10.25549/uschist-ouc113242447
title: Daily Trojan, vol. 67, no. 91, Mar 13, 1975

description: Daily Trojan, vol. 67, no. 91, March 13, 1975.
DOI: 10.25549/uschist-ouc113242515
title: Daily Trojan, vol. 67, no. 95, Mar 19, 1975

description: Daily Trojan, vol. 67, no. 95, March 19, 1975.
DOI: 10.25549/uschist-ouc113242446
title: Daily Trojan, vol. 67, no. 98, Apr 2, 1975

description: Daily Trojan, vol. 67, no. 98, April 2, 1975.
DOI: 10.25549/uschist-ouc113242510
title: Daily Trojan, vol. 67, no. 103, Apr 9, 1975

description: Daily Trojan, vol. 67, no. 103, April 9, 1975.
DOI: 10.25549/uschist-ouc113242452
title: Daily Trojan, vol. 67, no. 104, Apr 10, 1975

description: Daily Trojan, vol. 67, no. 104, April 10, 1975.
DOI: 10.25549/uschist-ouc113242340
title: Daily Trojan, vol. 67, no. 116, Apr 28, 1975

description: Daily Trojan SoCal, vol. 67, no. 116, April 28, 1975.
DOI: 10.25549/uschist-ouc113242467
title: Daily Trojan, vol. 67, no. 117, Apr 29, 1975

description: Daily Trojan, vol. 67, no. 117, April 29, 1975.
DOI: 10.25549/uschist-ouc113242428
title: Daily Trojan, vol. 67, no. 128, May 14, 1975

description: Daily Trojan, vol. 67, no. 128, May 14, 1975.
DOI: 10.25549/uschist-ouc113242348
title: Daily Trojan, vol. 67, no. 112, Apr 22, 1975

description: Daily Trojan, vol. 67, no. 112, April 22, 1975.
DOI: 10.25549/uschist-ouc113242383
title: Daily Trojan, vol. 67, no. 120, May 2, 1975

description: Daily Trojan, vol. 67, no. 120, May 2, 1975.
DOI: 10.25549/uschist-ouc113242381
title: Daily Trojan, vol. 67, no. 121, May 5, 1975

description: Daily Trojan SoCal, vol. 67, no. 121, May 5, 1975.
DOI: 10.25549/uschist-ouc113242432
title: Daily Trojan, vol. 67, no. 124, May 8, 1975

description: Daily Trojan, vol. 67, no. 124, May 8, 1975.
DOI: 10.25549/uschist-ouc113242336
title: Summer Trojan, vol. 68, no. 14, Aug 13, 1975

description: Summer Trojan, vol. 68, no. 14, August 13, 1975.
DOI: 10.25549/uschist-ouc113242458
title: Daily Trojan, vol. 67, no. 101, Apr 7, 1975

description: Daily Trojan SoCal, vol. 67, no. 101, April 7, 1975.
DOI: 10.25549/uschist-ouc113242493
title: Daily Trojan, vol. 67, no. 102, Apr 8, 1975

description: Daily Trojan, vol. 67, no. 102, April 8, 1975.
DOI: 10.25549/uschist-ouc113242431
title: Daily Trojan, vol. 67, no. 118, Apr 30, 1975

description: Daily Trojan, vol. 67, no. 118, April 30, 1975.
DOI: 10.25549/uschist-ouc113242308
title: Daily Trojan, vol. 67, no. 122, May 6, 1975

description: Daily Trojan, vol. 67, no. 122, May 6, 1975.
DOI: 10.25549/uschist-ouc113242344
title: Daily Trojan, vol. 67, no. 123, May 7, 1975

description: Daily Trojan, vol. 67, no. 123, May 7, 1975.
DOI: 10.25549/uschist-ouc113242207
title: Summer Trojan, vol. 68, no. 3, June 24, 1975

description: Summer Trojan, vol. 67 [sic, i.e. 68], no. 3, June 24, 1975.
DOI: 10.25549/uschist-ouc113242328
title: Daily Trojan, vol. 68, no. 4, Sep 19, 1975

description: Daily Trojan, vol. 68, no. 4, September 19, 1975.
DOI: 10.25549/uschist-ouc113242193
title: Daily Trojan, vol. 68, no. 10, Sep 29, 1975

description: Daily Trojan SoCal, vol. 68, no. 10, September 29, 1975.
DOI: 10.25549/uschist-ouc113242327
title: Daily Trojan, vol. 68, no. 13, Oct 2, 1975

description: Daily Trojan, vol. 68, no. 13, October 2, 1975.