cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15787/vtt1/1t9k49
title: Evaluation Tools for Low-Speed Automated Vehicle (LSAV) Transit Readiness of the Area (05-113)

description: Project Description: Automated shuttles are small, low-speed (generally less than 25 mph) vehicles that "do not require a human operator. Although early demonstrations all have included an onboard human attendant to observe passengers, record data, answer questions, and serve as a safety operator if needed" (Valdes et al., 2018). This project aims to assess the limitations that the EasyMile EZ10 Gen 3 low-speed automated vehicle (LSAV) encountered while operating on public roadways. The primary interests are to evaluate the infrastructure elements that posed the most challenges for the LSAV during its deployment. The primary research questions are as follows: Based on the results from the safety analysis, what are the infrastructure elements and traffic conditions that have negative effects on LSAV performance? What limitations should be considered while planning for a potential LSAV or automated transit vehicle deployment? How can transit planners adjust and improve the deployment program as it unfolds? Data Scope: A total of 41 safety-critical events were identified based on the reduction of the triggered events. There were five cameras installed onboard the LSAV shuttle, each of which collected continuous video when the LSAV was in operation. These five cameras recorded (1) the forward view, (2) inside the shuttle, (3) toward the left side of the shuttle, (4) the rearward view, and (5) toward the right side of the shuttle. The external cameras provided 360-degree coverage around the LSAV, allowing the research team adequate visibility of conditions around the vehicle during the disengagement events. These camera views were selected to capture traffic interactions with a wide variety of road users, including pedestrians and pedal-cyclists, as well as the impact of the disengagements on any passengers onboard at the time of the event. This data contains all categorical variables. Data Specification: Please see Data Specification document attached below.
DOI: 10.48567/h965-m930
title: Margaret Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/9nh9-2206
title: Marilyn Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.5519/qd.w8xdywf5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.48567/t3y8-hj02
title: Mary Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.5519/qd.qep54vqj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (14 records)
DOI: 10.48567/7tz1-qe98
title: Minna Bluff Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/j5na-y824
title: Mizuho Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.6084/m9.figshare.19771810
title: Matlab codes.zip

description: The Matlab code for the Bilevel programming model is included in the zip folder. The dataset used in the program is also included.
DOI: 10.48567/qbdh-qg95
title: Mount Fleming Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.5519/qd.aiwq0rnm
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (10 records)
DOI: 10.48567/v5fp-nf11
title: Mount Siple Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/fxpn-jv08
title: Mulock Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/ay7d-5m66
title: Nico Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/9dyx-em92
title: PANDA-South Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/xhsx-rn71
title: Pegasus North Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/tm6f-kc02
title: Possession Island Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/8q38-d842
title: Relay Station Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/z334-pj03
title: Sabrina Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/nsdd-gq63
title: Schwerdtfeger Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.15787/vtt1/aohi5n
title: Autonomous Vehicle Rural Road Dataset (06-004)

description: Project Description: A large number of rural roads in the U.S. do not have lane markings and have irregular boundaries. This trait is common to many small and rural communities (SRCs). The goal of this project is to develop and test efficient algorithms to enable the deployment of Autonomous Vehicles (AV's) in SRC's by leveraging crowd sourced topological maps such as the Open Street Maps that provides high level road network information in concert with onboard sensing systems that include LIDAR and cameras to localize and navigate an autonomous vehicle. Data Scope: The dataset contains: LIDAR Intensity Images: 2818 LIDAR Intensity Images LIDAR Multi-channel Images: 2818 Images with 3 channels- Signal, Range and Reflectivity Road Segmentation Masks: 2818 Segmentation masks of road surfaces for Intensity and Multi-channel images. Annotated LIDAR Point-Clouds: 2577 Point-Clouds with road point labelling. Bag Files: Bag files with 10 minutes of driving data including data from IMU, GPS, and wheel speed sensors. Data Specification: Please refer attached file "Rural_Road_Dataset_Specifications.pdf"
DOI: 10.48567/c0y9-6k87
title: Siple Dome Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/vy25-wy23
title: Sky Blu Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/6xfj-3613
title: Swithinbank Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/2g4n-r734
title: Theresa Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.48567/8hnc-tc87
title: Vito Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.5281/zenodo.6561124
title: RayTracesQcAnalysis

description: Dataset of the seismic rays and traces used for the Qc multifrequencies analysis at Deception Island volcano.
DOI: 10.48567/zcjb-hn85
title: Willie Field Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.5281/zenodo.6561123
title: RayTracesQcAnalysis

description: Dataset of the seismic rays and traces used for the Qc multifrequencies analysis at Deception Island volcano.
DOI: 10.48567/sfd9-jj59
title: Windless Bight Automatic Weather Station, 2010 quality-controlled observational data.
DOI: 10.6084/m9.figshare.19790014
title: hERG Inhibition Data on Novel NL-Compounds

description: Compound 1 is NL221-75 Compound 2 is NL33-104 Compound 3 is NL34-113 Compound 4 is NL350-02 <br>
DOI: 10.25921/phc3-1s12
title: EM302 Water Column Sonar Data Collected During EQT20210202
DOI: 10.6084/m9.figshare.19790020
title: Higher Admin’s Readiness and Response - Interview Guide

description: This interview guide was used to asses higher administrator's familiarity and level of prepardness to deal with technology facilitated violence abuse aimed at facutly.
DOI: 10.48567/88ym-zq90
title: Baldrick Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/ps2b-h936
title: Bonaparte Point Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/y463-bd16
title: Brianna Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/gckh-yg75
title: Butler Island Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/ctkg-pw14
title: Byrd Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.34740/kaggle/dsv/3658727
title: Printed Digits Dataset
DOI: 10.48567/zdqc-ee96
title: Cape Bird Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/7xj4-2a11
title: Cape Denison Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/pj1b-f133
title: Carolyn Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/vxpy-y364
title: D-10 Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/tb88-6s93
title: D-47 Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/vr5g-0s50
title: D-85 Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/1e4e-5g85
title: Dismal Island Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/022x-te15
title: Dome C II Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/rj6e-eb89
title: E-66 Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/e2qh-k787
title: Elaine Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/4mke-6w91
title: Elizabeth Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/pvsj-2w36
title: Emilia Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/hrfw-qm79
title: Eric Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/5v86-8x90
title: Erin Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/3z40-bx86
title: Ferrell Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/1c2x-bz66
title: Fossil Bluff Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/whhk-q054
title: Gill Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/3y3s-8p92
title: Harry Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/rrp0-6325
title: Henry Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/s9dx-s577
title: Hugo Island Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/dtj5-j664
title: JASE2007 Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.13020/t9h9-bq76
title: ETL for Mexican American Art Since 1848

description: This repository represents an extract, transform, load (ETL) platform for the Mexican American Art Since 1848 (MAAS1848) project. The ETL project is intended to transform data from diverse repositories into a standardized format for ingest into the Omeka-based MAAS1848 platform. This repository leverages Python and a series of scripts to handle the transformation stage. It outputs CSV files with an Omeka-compatible structure.
DOI: 10.48567/vkkd-xr56
title: Kominko-Slade Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/svf0-4a61
title: Larsen Ice Shelf Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/ccpx-jk91
title: Laurie II Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/s0fx-1c11
title: Lettau Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/xssv-3y09
title: Limbert Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.6084/m9.figshare.19789930
title: MAGs genome sequences

description: Here, 134 publicly available metagenomes derived from different biogas reactors were used to recover 1635 metagenome-assembled genomes (MAGs) representing different biogas bacterial and archaeal species. All genomes were estimated to be &gt; 50% complete and nearly half ≥ 90% complete with ≤ 5% contamination. If you find this resource useful please cite https://link.springer.com/article/10.1186/s13068-020-01679-y <br> Campanaro S, Treu L, Rodriguez-R LM, Kovalovszki A, Ziels RM, Maus I, Zhu X, Kougias PG, Basile A, Luo G, Schlüter A, Konstantinidis KT, Angelidaki I. New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters. Biotechnol Biofuels. 2020 Feb 24;13:25. doi: 10.1186/s13068-020-01679-y. PMID: 32123542; PMCID: PMC7038595.
DOI: 10.6084/m9.figshare.19789930.v1
title: MAGs genome sequences

description: Here, 134 publicly available metagenomes derived from different biogas reactors were used to recover 1635 metagenome-assembled genomes (MAGs) representing different biogas bacterial and archaeal species. All genomes were estimated to be &gt; 50% complete and nearly half ≥ 90% complete with ≤ 5% contamination. If you find this resource useful please cite https://link.springer.com/article/10.1186/s13068-020-01679-y <br> Campanaro S, Treu L, Rodriguez-R LM, Kovalovszki A, Ziels RM, Maus I, Zhu X, Kougias PG, Basile A, Luo G, Schlüter A, Konstantinidis KT, Angelidaki I. New insights from the biogas microbiome by comprehensive genome-resolved metagenomics of nearly 1600 species originating from multiple anaerobic digesters. Biotechnol Biofuels. 2020 Feb 24;13:25. doi: 10.1186/s13068-020-01679-y. PMID: 32123542; PMCID: PMC7038595.
DOI: 10.48567/wkb9-gy53
title: Linda Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/7qvr-w622
title: Lorne Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/e4ra-7v03
title: Manuela Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/57m6-h806
title: Marble Point Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/ahhp-wc11
title: Margaret Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/3k4v-f287
title: Marilyn Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/616w-gz95
title: Mary Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/rq5g-vk95
title: Minna Bluff Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/gt7v-6c65
title: Mizuho Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/cb69-bp44
title: Mount Fleming Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/0599-2b72
title: Mount Siple Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/ve9k-xr89
title: Mulock Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/8y6g-rm18
title: Nico Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/9cw0-qb80
title: PANDA-South Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/3qtj-qe14
title: Pegasus North Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/7mvy-1065
title: Pegasus South Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/3vr3-hj15
title: Possession Island Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/rw06-7s56
title: Sabrina Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/ctvh-ns98
title: Schwerdtfeger Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.6073/pasta/54fdcc0e208fa49c390cfe9b3097ada7
title: Mohonk Preserve Forest Health Monitoring Data 2018

description: In 2018, the Mohonk Preserve’s Daniel Smiley Research Center implemented a long-term research project aimed at inventorying forest vegetation and monitoring forest health. The protocol was adapted from the National Park Service’s Northeast Temperate Network (https://www.nps.gov/im/netn/forest-health.htm). This project monitors the composition and structure of the Mohonk Preserve forests, and collects data for assessing forest soil condition, impacts of white-tailed deer herbivory, and land cover. In 2018, 24 plots were established in four habitat types: Eastern hemlock forest (n = 6), white ash forest (n = 6), historic prescribed burn forest (n = 6), and randomly selected forest (n = 6). In 2021, an additional 14 plots were established in two historic Breeding Bird Survey research areas: Eastern hemlock forest (n = 8) and pitch pine forest (n = 6). All data collection occurred between the months of June through August. Plots are scheduled to be resampled every four years.
DOI: 10.48567/3w1c-8543
title: Siple Dome Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/rwat-xm12
title: Sky Blu Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/3rjk-ss50
title: Swithinbank Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/z5c0-w773
title: Theresa Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/vzsp-8697
title: Vito Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/t34b-wy27
title: Willie Field Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.48567/q69v-dy43
title: Windless Bight Automatic Weather Station, 2009 quality-controlled observational data.
DOI: 10.3886/e120246v2-118480
title: Data and Code for: Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics

description: The credibility revolution in economics has promoted causal identification using randomized control trials (RCT), difference-in-differences (DID), instrumental variables (IV) and regression discontinuity design (RDD). Applying multiple approaches to over 21,000 hypothesis tests published in 25 leading economics journals we find that the extent of p-hacking and publication bias varies greatly by method. IV (and to a lesser extent DID) are particularly problematic. We find no evidence that: (1) Papers published in the `Top 5' journals are different to other; (2) The journal revise and resubmit process mitigates the problem; (3) Things are improving through time.<br>
DOI: 10.25422/azu.data.19686555
title: Data for "Hydration-Mediated G-Protein-Coupled Receptor Activation"

description: This data repository includes the follwing data. <strong>Tabulated data indicating effects on ln </strong><em><strong>K </strong></em><strong>by the small osmolytes PEG 200, PEG 300, PEG 400, PEG 600 and Sucrose.</strong> Listed are the weight percentages of each osmolyte in the sample solution, the calculated osmotic pressures. <strong>Tabulated</strong> <strong>data</strong> <strong>indicating</strong> <strong>effects</strong> <strong>on</strong> <strong>ln</strong> <em><strong>K</strong></em> <strong>by</strong> <strong>the</strong> <strong>large</strong> <strong>osmolytes</strong> <strong>PEG</strong> <strong>1000,</strong> <strong>PEG</strong> <strong>1500, PEG 2000, PEG 3000, PEG 4000</strong> <strong>and</strong> <strong>PEG</strong> <strong>6000.</strong> Listed are the weight percentages of each osmolyte in the sample, the calculated osmotic pressures. <strong>The numbers of hydrating water molecules and curvature term</strong>, reflected by a change in virial coefficient Δ<em>C </em>or change in compressibility Δ<em>κ </em>for a standard-state MI-MII transition were calculated for the response of rhodopsin to various molecular weight osmolytes. <strong>Tabulated pH</strong> <strong>titration</strong> <strong>data,</strong> where MII fractions (<em>θ</em>) are taken from the fitting of basis spectra to the experimental spectra. <strong>Tabulated p</strong><em><strong>K</strong></em><sub><strong>A</strong></sub> <strong>values and alkaline endpoints. </strong> <i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.5517/ccdc.csd.cc24f8ql
title: CCDC 1978969: Experimental Crystal Structure Determination

description: Related Article: Han-Yue Zhang|2022|Chemical Science|13|5006|doi:10.1039/D1SC06909H
DOI: 10.5517/ccdc.csd.cc24f8rm
title: CCDC 1978970: Experimental Crystal Structure Determination

description: Related Article: Han-Yue Zhang|2022|Chemical Science|13|5006|doi:10.1039/D1SC06909H
DOI: 10.5517/ccdc.csd.cc24f8vq
title: CCDC 1978973: Experimental Crystal Structure Determination

description: Related Article: Han-Yue Zhang|2022|Chemical Science|13|5006|doi:10.1039/D1SC06909H
DOI: 10.5517/ccdc.csd.cc24f8tp
title: CCDC 1978972: Experimental Crystal Structure Determination

description: Related Article: Han-Yue Zhang|2022|Chemical Science|13|5006|doi:10.1039/D1SC06909H
DOI: 10.5517/ccdc.csd.cc24f8sn
title: CCDC 1978971: Experimental Crystal Structure Determination

description: Related Article: Han-Yue Zhang|2022|Chemical Science|13|5006|doi:10.1039/D1SC06909H
DOI: 10.6073/pasta/6c7f8aa81db275b7d4a7f3aa3206e74f
title: Mohonk Preserve Forest Health Monitoring Data 2018-2021

description: In 2018, the Mohonk Preserve’s Daniel Smiley Research Center implemented a long-term research project aimed at inventorying forest vegetation and monitoring forest health. The protocol was adapted from the National Park Service’s Northeast Temperate Network (https://www.nps.gov/im/netn/forest-health.htm). This project monitors the composition and structure of the Mohonk Preserve forests, and collects data for assessing forest soil condition, impacts of white-tailed deer herbivory, and land cover. In 2018, 24 plots were established in four habitat types: Eastern hemlock forest (n = 6), white ash forest (n = 6), historic prescribed burn forest (n = 6), and randomly selected forest (n = 6). In 2021, an additional 14 plots were established in two historic Breeding Bird Survey research areas: Eastern hemlock forest (n = 8) and pitch pine forest (n = 6). All data collection occurred between the months of June through August. Plots are scheduled to be resampled every four years.
DOI: 10.5281/zenodo.6561410
title: EvaNIL: silver standard dataset for large-scale NIL entity linking evaluation

description: The EvaNIL dataset can be used to train or evaluate approaches developed for NIL entity linking. It was built from several Biomedical and Life Sciences corpora: PubMed DS CRAFT corpus MedMentions These corpora contain entities associated with knowledge base concepts. To build the EvaNIL dataset, we assumed that those knowledge base concepts did not exist in the respective knowledge bases, so each entity is associated instead with the direct ancestors of those original concepts. The EvaNIL dataset is divided into 6 partitions including annotations from several knowledge bases: "medic" (CTD-MEDIC) "ctd_anatomy" (CTD-Anatomy) "ctd_chemicals" (CTD-Chemicals) "chebi" (ChEBI) "go_bp" (GO-Biological Process) "hp" (HPO)
description: Funding by Fundação para a Ciência e a Tecnologia (FCT) through the following grants: 2020.05393.BD, PTDC/CCI-BIO/28685/2017, UIDB/00408/2020, UIDP/00408/2020
DOI: 10.5281/zenodo.5849230
title: EvaNIL: silver standard dataset for large-scale NIL entity linking evaluation

description: The EvaNIL dataset can be used to train or evaluate approaches developed for NIL entity linking. It was built from several Biomedical and Life Sciences corpora: PubMed DS CRAFT corpus MedMentions These corpora contain entities associated with knowledge base concepts. To build the EvaNIL dataset, we assumed that those knowledge base concepts did not exist in the respective knowledge bases, so each entity is associated instead with the direct ancestors of those original concepts. The EvaNIL dataset is divided into 6 partitions including annotations from several knowledge bases: "medic" (CTD-MEDIC) "ctd_anatomy" (CTD-Anatomy) "ctd_chemicals" (CTD-Chemicals) "chebi" (ChEBI) "go_bp" (GO-Biological Process) "hp" (HPO)
description: Funding by Fundação para a Ciência e a Tecnologia (FCT) through the following grants: 2020.05393.BD, PTDC/CCI-BIO/28685/2017, UIDB/00408/2020, UIDP/00408/2020