cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57702/mcpdmcej
title: Technician Routing and Scheduling Problem (TRSP)

description: The dataset used in this paper is a variant of the workforce scheduling problem called TRSP. This variant incorporates several state-of-the-art constraints such as time windows, multi-depot, site-dependent, capacity constraints, etc.
DOI: 10.6084/m9.figshare.c.3662366_d727.v1
title: Full body CT scan of an Atelomycterus macleayi (RMNH.PISC.34078.c)

description: This file includes 991 DICOM files of a male Atelomycterus macleayi specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.34078.c. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d747.v1
title: Full body CT scan of a Carcharhinus amboinensis (RMNH.PISC.4264)

description: This file includes 791 DICOM files of a female Carcharhinus amboinensis specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.4264. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/jgtwsaie
title: Driver Hand Localization and Grasp Analysis: A Vision-based Real-time Approach

description: A Vision-based Real-time Approach for extracting hand instances and performing object grasp/no-grasp classification in in-vehicular images.
DOI: 10.6084/m9.figshare.c.3662366_d739.v1
title: Full body CT scan of a Scyliorhinus canicula (RMNH.PISC.4166)

description: This file includes 1147 DICOM files of a female Scyliorhinus canicula specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.4166. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d738.v1
title: Full body CT scan of a Deania calcea (RMNH.PISC.37981)

description: This file includes 1544 DICOM files of a female Deania calcea specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.37981. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d741.v1
title: Full body CT scan of a Heterodontus japonicus (RMNH.PISC.4202)

description: This file includes 911 DICOM files of a male Heterodontus japonicus specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.4202. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/75psomec
title: plants

description: The dataset used in this paper is a collection of runtime traces for different business use cases.
DOI: 10.57702/w7jq0z1k
title: NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-sourced Datasets

description: Training complex neural network models using third-party cloud-based infrastructure among multiple data sources is a promising approach among existing machine learning solutions. However, privacy concerns of large-scale data collections and recent regulations have restricted the availability and use of privacy sensitive data in the third-party infrastructure.
DOI: 10.57702/gg8v4pf0
title: Friendly Attack Dataset

description: The dataset used in the paper is a collection of modulated codewords and their corresponding noisy versions, used for training and testing the friendly attack algorithm.
DOI: 10.57702/pmubdrtb
title: ARAGPT2

description: ARAGPT2 is a stacked transformer-decoder model trained using the causal language modeling objective. The model is trained on 77GB of Arabic text.
DOI: 10.57702/28lvb4tl
title: The Liouville Generator for Producing Integrable Expressions

description: The LIOUVILLE data generation method generates integrable expressions that are guaranteed to be integrable, dubbed the LIOUVILLE method.
DOI: 10.57702/w9qgyibl
title: Clue by BioWink Dataset

description: The dataset used in this paper is a de-identified self-tracked dataset from Clue by BioWink, comprising of 117,014,597 self-tracking events over 378,694 users.
DOI: 10.57702/27edt4p5
title: TREC Deep Learning 2021 Collection

description: The TREC Deep Learning 2021 collection is a test collection for information retrieval evaluation, adopting a shallow pooling approach.
DOI: 10.57702/hg3shnnd
title: AR Dataset

description: AR dataset is a dataset of images with a single or few people in the scene in common poses and 25K images with a single person in the scene performing fitness exercises.
DOI: 10.6084/m9.figshare.c.3662366_d768.v1
title: Full body CT scan of a Sphyrna tudes

description: This file includes 968 DICOM files of a female Sphyrna tudes specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands without a registrationnumber. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d770.v1
title: Full body CT scan of a Galeorhinus galeus (RMNH.PISC.verznr.7)

description: This file includes 3264 DICOM files of a female Galeorhinus galeus specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.verznr.7. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/oxq4yo1z
title: SEAT: Sentence Encoder Association Test

description: Propose a method for evaluating gender bias in contextualised word embeddings.
DOI: 10.6084/m9.figshare.c.3662366_d761.v1
title: Full body CT scan of 2 Chiloscyllium indicum specimens (RMNH.PISC.7406.a+b)

description: This file includes 806 DICOM files of a female and male Chiloscyllium indicum specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.7406.a and RMNH.PISC.7406.b respectively. The specimens are scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d758.v1
title: Full body CT scan of a Halaelurus buergeri (RMNH.PISC.7399)

description: This file includes 775 DICOM files of a female Halaelurus buergeri specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.7399. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/62okaajc
title: MNLI: Multi-Genre Natural Language Inference

description: Propose a method for evaluating gender bias in contextualised word embeddings.
DOI: 10.57702/jpn3wrz8
title: Agglomerative Clustering of Simulation Output Distributions

description: The dataset is used for clustering simulation output distributions using the regularized Wasserstein distance.
DOI: 10.57702/03s7us8e
title: Benchmark problems for gray-box optimization

description: The dataset used in this paper is a set of benchmark problems for gray-box optimization, including the Sphere function, Rosenbrock function, REBGrid function, and others.
DOI: 10.6084/m9.figshare.c.3662366_d751.v1
title: Full body CT scan of a Carcharhinus macloti (RMNH.PISC.7373)

description: This file includes 1052 DICOM files of a female Carcharhinus macloti specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber RMNH.PISC.7373. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d786.v1
title: Full body CT scan of a Triaenodon obesus (ZMA.PISC.110760)

description: This file includes 1677 DICOM files of a female Triaenodon obesus specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.110760. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d783.v1
title: Full body CT scan of a Chiloscyllium punctatum (ZMA.PISC.109153)

description: This file includes 1615 DICOM files of a female Chiloscyllium punctatum specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.109153. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d779.v1
title: Full body CT scan of a Sphyrna zygaena (ZMA.PISC.108725)

description: This file includes 2095 DICOM files of a female Sphyrna zygaena specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.108725. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d780.v1
title: Full body CT scan of a Sphyrna tudes (ZMA.PISC.109130)

description: This file includes 1738 DICOM files of a Sphyrna tudes specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.109130. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.6084/m9.figshare.c.3662366_d774.v1
title: Full body CT scan of a Carcharhinus falciformis (ZMA.PISC.108686)

description: This file includes 1367 DICOM files of a female Carcharhinus falciformis specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.108686. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.57702/s14co1hq
title: CIGRE Medium Voltage Distribution Network

description: The CIGRE medium voltage distribution network dataset used for testing the proposed adaptive protection method.
DOI: 10.6084/m9.figshare.c.3662366_d771.v1
title: Full body CT scan of an Oxynotus centrina (ZMA.PISC.104703)

description: This file includes 843 DICOM files of a female Oxynotus centrina specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.104703. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.15468/dl.ss7upu
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Xylocopa hirsutissima Maidl, 1912"
 ]
}

 The dataset includes 64 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037229-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57702/x2oqj57u
title: JSON document with a tree structure

description: The dataset is not explicitly described in the paper, but it is mentioned that it is a JSON document with a tree structure.
DOI: 10.57702/xb7w5nih
title: auto-mpg

description: The auto-mpg dataset is a regression dataset containing information about the fuel efficiency of various car models.
DOI: 10.57702/7u84mmfg
title: Neural Certiﬁcates for Safe Control Policies

description: This paper develops an approach to learn a policy of a dynamical system that is guaranteed to be both provably safe and goal-reaching.
DOI: 10.57702/kg7xaw03
title: DSKG: A Deep Sequential Model for Knowledge Graph Completion

description: Knowledge graph (KG) completion aims to fill the missing facts in a KG, where a fact is represented as a triple in the form of (subject, relation, object).
DOI: 10.57702/kcx3a68g
title: SSP: Semantic space projection for knowledge graph embedding with text descriptions

description: SSP: Semantic space projection for knowledge graph embedding with text descriptions
DOI: 10.6084/m9.figshare.c.3666502_d28.v1
title: Egyptian fruit bat vocalizations files 220

description: Recordings of Rousettus aegyptiacus social vocalizations
DOI: 10.57702/fa4hsmfn
title: Projection Domain of the Intrinsically Disordered htau40 Protein

description: All-atom molecular dynamics simulations of the projection domain of the intrinsically disordered htau40 protein
DOI: 10.6084/m9.figshare.c.3666502_d25.v1
title: Egyptian fruit bat vocalizations files 218

description: Recordings of Rousettus aegyptiacus social vocalizations
DOI: 10.6084/m9.figshare.c.3666502_d15.v1
title: Egyptian fruit bat vocalizations files 206

description: Recordings of Rousettus aegyptiacus social vocalizations
DOI: 10.6084/m9.figshare.c.3666502_d19.v1
title: Egyptian fruit bat vocalizations files 212

description: Recordings of Rousettus aegyptiacus social vocalizations
DOI: 10.6084/m9.figshare.c.3493548_d42.v1
title: Sample image 3: long-term single-cell growth monitoring (MC4100 cells at 27C)

description: Sample image for MC4100 cells cultured at 27C
DOI: 10.6084/m9.figshare.c.3493548_d40.v1
title: Sample image 2: long-term single-cell growth monitoring (MC4100 cells at 27C).jpg

description: Sample image of cells cultured at 27C
DOI: 10.57702/a2hzn3kk
title: Electronic Circuit

description: The dataset used in the paper is an electronic circuit, described by a set of coupled differential equations.
DOI: 10.57702/ohuj7hws
title: GPU Accelerated Cascade Hashing Image Matching for Large Scale 3D Reconstruction

description: Image feature point matching is a key step in Structure from Motion(SFM). However, it is becoming more and more time consuming because the number of images is getting larger and larger. In this paper, we proposed a GPU accelerated image matching method with improved Cascade Hashing.
DOI: 10.6084/m9.figshare.c.3493548_d39.v1
title: Sample image 1: long-term single-cell growth monitoring (MC4100 cells at 27C).jpg

description: Sample image of cells cultured at 27C
DOI: 10.57702/iyhq76hx
title: Dubrovnik6K

description: The dataset Dubrovnik6K contains 6,044 images.
DOI: 10.6084/m9.figshare.c.3682042_d14.v1
title: Mountain hare raw transcriptome assembly

description: Data citation 2: Raw assembly of RNA-sequencing reads from mountain hares (sampled in Ireland and in the Alps).
DOI: 10.6084/m9.figshare.c.3682042_d15.v1
title: Raw transcriptome assembly of Irish mountain hares

description: Data citation 2: Raw assembly of RNA-sequencing reads from mountain hares sampled in Ireland.
DOI: 10.6084/m9.figshare.c.3674959_d6.v1
title: QPatch raw.zip

description: The QPatch raw folder contains all the project files (Nyborg_project568 to Nyborg_project849), as well as the Falster projects folder that contains all the assay protocol files used.
DOI: 10.57702/oh4k9u9j
title: Aos Hus

description: The dataset Aos Hus contains 811 images.
DOI: 10.6084/m9.figshare.c.3681778_d3
title: Data Citation 1: The qRT-PCR data for expression of GRs, MR and RPL7 in tissues of MR-KO and WT adult (200 days post-fertilization) medaka

description: Data for mRNA levels of GRs, MR and rpl7 are shown as means of triplicate (arbitrary units). The GR mRNA levels are normalized using rpl7 mRNA levels and shown in Figure 1
DOI: 10.6084/m9.figshare.c.3682042_d12.v1
title: FASTQC base quality reports

description: Data citation 2: Pre and post-cleaning FASTQC base quality report.
DOI: 10.6084/m9.figshare.c.3305517_d292.v1
title: ARHGAP26 siGENOME MDA-MB-231, no change in YAP/TAZ ratio.bmp

description: ARHGAP26 siGENOME MDA-MB-231, no change in YAP/TAZ ratio
DOI: 10.57702/blogj4d5
title: Neural Network-derived perfusion maps: A Model-free approach to computed tomography perfusion

description: A Convolutional Neural Network (CNN) can generate clinically relevant parametric maps from CT perfusion data in a clinical setting of patients with acute ischemic stroke.
DOI: 10.25378/janelia.24255877
title: Manual organelle segmentations (crop199) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, mitochondrial ribosome, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop199<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 79214 x 29710 x 97374 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, mitochondrial ribosome, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop199<br><br><b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<br><br><b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.25378/janelia.24255877.v1
title: Manual organelle segmentations (crop199) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, mitochondrial ribosome, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop199<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 79214 x 29710 x 97374 (x, y, z)<br><br><b>Classes annotated</b>: mitochondrial membrane, mitochondrial lumen, vesicle membrane, endosome membrane, vesicle lumen, mitochondrial ribosome, endoplasmic reticulum lumen, endoplasmic reticulum membrane, lysosome lumen, lysosome membrane, endosome lumen, cytosol, lysosome, endosome, vesicle, mitochondria, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop199<br><br><b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<br><br><b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.5066/f7v98674
title: Comparison of Acoustic Recorders and Field Observers for Monitoring Tundra Bird Communities in Northwestern Alaska

description: Acoustic recorders can detect the presence of birds and these detections may be used for the purpose of population abundance or estimation. This monitoring project compared the abundance of tundra-breeding birds detected through both acoustic monitoring and observational surveys. The data package is comprised of four tables: (1) habitat type, including vegetation height at sites where acoustic recorders and human observer point counts occurred, 2) bird detections obtained using the observer methods, 3) bird detections obtained using the acoustic monitoring method, and 4) taxonomy table of bird species detected during both observer and acoustic recorder survey methods.