cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/wpacards-c8-164676
title: WPA household census for 4680 DUNHAM ST, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.15468/dl.286w6e
title: Occurrence Download

description: A dataset listing the 13518 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Germany, Switzerland, Austria)",
 "DatasetKey is Observation.org, Nature data from around the World",
 "OccurrenceStatus is Present",
 "PublishingOrg is c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f",
 "Year 2025-2025"
 ]
}

 The dataset's 13518 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007064-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/wpacards-c8-164730
title: WPA household census for 5147 ASTOR AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.3886/e246093
title: Data and code for: Reskilling and Resilience

description: This paper shows that effective reskilling substantially reduces antidepressant use among injured workers and their partners. Exploiting institutional variation in access to higher education following work accidents in Denmark, we find that reskilling prevents antidepressant use for one in three participants, with partner spillovers of comparable magnitude. These effects emerge while workers are in school—prior to any income gains—and coincide with increased partner employment. Assuming a one-to-one mapping between prescriptions and depressive episodes, the value of these health improvements adds 50% to the direct labor earnings gains from reskilling; partner earnings gains add another 33%.
description: Universe of the Danish Population.
DOI: 10.5281/zenodo.18757935
title: Codes and app for "Mountain gorillas in Virunga: a smartphone application for on device deep learning face recognition and identification"

description: 🦍 Gorilla Identifier — Project Files

 

Notebooks > Gorilla IA.ipynb- Photo sorting and dataset preparation- YOLO gorilla detection training- ResNet50 individual identification training- Grad-CAM heatmap visualization

 

Models- best.pt → Best YOLO model (gorilla detection)- best_model.pth → Best ResNet50 model (individual identification, 70 gorillas)- class_names.txt → List of gorilla individual names (used with best_model.pth)

- export_pytorch_android.ipynb → Export model to Android format (Google Colab)

 

Android App- gorilla_model.ptl → ResNet50 model optimized for mobile (converted from best_model.pth)- labels.txt → Gorilla names for the app (same as class_names.txt)- app-debug.apk → Android app (install on phone, works offline, shows Top-3 predictions)

Abstract

Mountain gorillas (Gorilla beringei beringei) are an endangered flagship species whose long‑term recovery depends on accurate, individual‑level monitoring to inform conservation interventions, manage health risks, and quantify demographic and behavioural change. Non‑invasive, scalable identification methods that reduce disturbance and logistical costs are therefore a high conservation priority. Here we present an on‑device deep‑learning pipeline and Android application for automated face detection and individual recognition of mountain gorillas in Virunga National Park, developed from longitudinal photographic archives of two long‑monitored groups (Rugendo, Munyaga). Field images were acquired under a standardized protocol (Canon EOS 6D Mark II, 70–300 mm, no flash), annotated for face bounding boxes and stratified to train a YOLOv8 face detector and a ResNet50-based individual classifier (70 identities; mean ≈74 images/individual). The face achieved extremely high localisation performance (precision 99.5%, recall 99.9%), facilitating reliable crop extraction. The ResNet50 classifier demonstrated robust generalization with training/validation/test accuracies of 87.93%, 96.02% and 96.00% respectively; test set Top‑3 and Top‑5 accuracies were 98.54% and 99.35%. Aggregate per‑individual metrics on the test partition were mean precision = 0.96, mean recall = 0.96 and mean F1 = 0.96, with 90% of individuals achieving F1 ≥ 0.90. Attention‑map and confusion‑pair analyses indicate the model principally attends to biologically meaningful facial features, while residual errors stem from occlusion, extreme poses and class imbalance. The Android app performs all inference and storage locally, preserving data sovereignty and enabling offline field use. We discuss operational deployment, human‑in‑the‑loop validation, and targeted data‑collection strategies to further reduce ambiguous cases and support conservation monitoring at scale.

Keywords: individual identification; wildlife conservation; great apes, primates, embedded technology
DOI: 10.25549/wpacards-c8-164724
title: WPA household census for 5147 ASTOR AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.5281/zenodo.18757934
title: Codes and app for "Mountain gorillas in Virunga: a smartphone application for on device deep learning face recognition and identification"

description: 🦍 Gorilla Identifier — Project Files

 

Notebooks > Gorilla IA.ipynb- Photo sorting and dataset preparation- YOLO gorilla detection training- ResNet50 individual identification training- Grad-CAM heatmap visualization

 

Models- best.pt → Best YOLO model (gorilla detection)- best_model.pth → Best ResNet50 model (individual identification, 70 gorillas)- class_names.txt → List of gorilla individual names (used with best_model.pth)

- export_pytorch_android.ipynb → Export model to Android format (Google Colab)

 

Android App- gorilla_model.ptl → ResNet50 model optimized for mobile (converted from best_model.pth)- labels.txt → Gorilla names for the app (same as class_names.txt)- app-debug.apk → Android app (install on phone, works offline, shows Top-3 predictions)

Abstract

Mountain gorillas (Gorilla beringei beringei) are an endangered flagship species whose long‑term recovery depends on accurate, individual‑level monitoring to inform conservation interventions, manage health risks, and quantify demographic and behavioural change. Non‑invasive, scalable identification methods that reduce disturbance and logistical costs are therefore a high conservation priority. Here we present an on‑device deep‑learning pipeline and Android application for automated face detection and individual recognition of mountain gorillas in Virunga National Park, developed from longitudinal photographic archives of two long‑monitored groups (Rugendo, Munyaga). Field images were acquired under a standardized protocol (Canon EOS 6D Mark II, 70–300 mm, no flash), annotated for face bounding boxes and stratified to train a YOLOv8 face detector and a ResNet50-based individual classifier (70 identities; mean ≈74 images/individual). The face achieved extremely high localisation performance (precision 99.5%, recall 99.9%), facilitating reliable crop extraction. The ResNet50 classifier demonstrated robust generalization with training/validation/test accuracies of 87.93%, 96.02% and 96.00% respectively; test set Top‑3 and Top‑5 accuracies were 98.54% and 99.35%. Aggregate per‑individual metrics on the test partition were mean precision = 0.96, mean recall = 0.96 and mean F1 = 0.96, with 90% of individuals achieving F1 ≥ 0.90. Attention‑map and confusion‑pair analyses indicate the model principally attends to biologically meaningful facial features, while residual errors stem from occlusion, extreme poses and class imbalance. The Android app performs all inference and storage locally, preserving data sovereignty and enabling offline field use. We discuss operational deployment, human‑in‑the‑loop validation, and targeted data‑collection strategies to further reduce ambiguous cases and support conservation monitoring at scale.

Keywords: individual identification; wildlife conservation; great apes, primates, embedded technology
DOI: 10.25549/wpacards-c8-165126
title: WPA household census for 4901 JILLON ST, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-ouc11588592
title: WPA household census for 2200 COWLIN AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-77
title: WPA blocklist of household censuses for 4th, Betty, 5th, Humphreys Streets

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-ouc11588512
title: WPA household census for 2200 COWLIN AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.15468/dl.d6muc6
title: Occurrence Download

description: A dataset containing 1271 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Lutjanus novemfasciatus"
 ]
}

 The dataset includes 1271 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007072-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/wpacards-c8-17
title: WPA blocklist of household censuses for Harris, Herbert, Gage Streets

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.6084/m9.figshare.31375951.v1
title: Dataset for Multi-objective Optimization and VIKOR Ranking of a Adjustable Louver System in an Educational Space

description: This dataset contains the optimization outputs and multi-criteria decision-making (VIKOR) ranking results related to the performance evaluation of a manually adjustable external louver system implemented in an educational space.<br><br>File1: Data_Description_Document.pdf<br><br>File 2: Louver_Optimization_Output_Data.xlsx<br>Includes optimized louver configurations with corresponding objective function values (e.g., useful daylight illuminance, glare index, daylight uniformity).<br><br>File 3: VIKOR_Ranking_Results.xlsx<br>Contains S, R, and Q values derived from the VIKOR multi-criteria decision-making method, along with the final ranking of design configurations based on Q values.<br><br>These data support the findings presented in the associated journal article submitted to Building Research & Information.
DOI: 10.25549/wpacards-ouc11588500
title: WPA household census for 2200 COWLIN AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-44
title: WPA blocklist of household censuses for Dobinson, Record, Hazard, Rockwood, Bonnie Beach, Floral, Geraghty Streets

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-244
title: WPA blocklist of household censuses for Blanchard, Rowan, Winter, Townsend Streets

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-70
title: WPA blocklist of household censuses for 3rd, Ford, Gratian, Humphreys Streets

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-46
title: WPA blocklist of household censuses for Dobinson, Record, Hazard, Rockwood, Bonnie Beach, Floral, Geraghty Streets

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-165048
title: WPA household census for 2326 RANSOM ST, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-ouc11588415
title: WPA household census for 2330 RANSOM ST, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-165087
title: WPA household census for 4930 KINSIE ST, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-ouc11588616
title: WPA household census for 4934 KINSIE ST, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.
DOI: 10.25549/wpacards-c8-165021
title: WPA household census for 2409 COUTS AVE, Los Angeles County

description: The Works Progress Administration Los Angeles Household Census Cards collection dates from 1939. The physical cards which number nearly half a million items are owned by the USC Libraries. More than a quarter of the collection has been digitized.The household survey cards (or "dwelling schedules"), one for each street address in greater Los Angeles, document a wide variety of information ranging from the type of dwelling, the value of the property, the monthly rent or mortgage, to whether or not there were flush toilets. While these cards form the bulk of the collection, other digitized documents include "block face cards" and "block lists" -- documenting the census process.