cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34740/kaggle/dsv/9665452
title: e-IPO Indonesia Data - Investment
DOI: 10.15468/dl.bybiug
title: Occurrence Download

description: A dataset containing 986 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cavia aperea Erxleben, 1777"
 ]
}

 The dataset includes 986 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004405-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jhthds
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bothrops alternatus Duméril, Bibron & Duméril, 1854"
 ]
}

 The dataset includes 451 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004536-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7r78d4n
title: Generalized lithology of the conterminous United States

description: This dataset contains generalized lithologic classes (rocktypes) as reassigned from the USGS state geologic map compilation for the conterminous United States (Schweitzer, 2011). Lithology was classified into 12 generalized categories using the fields LITH62 and LITH62MINO available in Schweitzer (2011). Geospatial and tabular data associated with the generalized lithologic classes (rocktypes) are included in the data release. References: Schweitzer, Peter N., 2011, Combined geologic map data for the conterminous US derived from the USGS state geologic map compilation: U.S. Geological Survey, available at https://mrdata.usgs.gov/geology/state/geol_poly.zip.
DOI: 10.15468/dl.421j99
title: Occurrence Download

description: A dataset containing 7784 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myocastor coypus (Molina, 1782)"
 ]
}

 The dataset includes 7784 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004421-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5lonc8
title: Occurrence Download

description: A dataset containing 650 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dolichotis patagonum (Zimmermann, 1780)"
 ]
}

 The dataset includes 650 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004411-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8e8jva
title: Occurrence Download

description: A dataset containing 791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxymycterus rufus (Fischer, 1814)"
 ]
}

 The dataset includes 791 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004483-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/n4ofia
title: Global Register of Introduced and Invasive Species- Chile

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists (inventories) of introduced (alien) and invasive alien species at the country level. Phase 1 of the project has focused on developing validated and verified checklists (inventories) of countries that are Party to the Convention on Biological Diversity. This annotated checklist (inventory) is of introduced (alien) and invasive alien species known to occur in Chile.
DOI: 10.21415/t5z616
title: CHILDES Mandarin TCCM Corpus
DOI: 10.25574/cdc.260
title: Chandra X-ray Observatory Chandra Data Collection for request #260

description: Chandra Data Collection for request #260
description: DOI updated to include the publication's DOI on 2024-10-17-17:30:00
DOI: 10.34740/kaggle/ds/1516536
title: The SEE-AI Project Dataset
DOI: 10.3886/e119446v48
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.3886/icpsr02094.v1
title: Higher Education General Information Survey (HEGIS), 1968-1969: Financial Statistics
title: Version 1

description: The Higher Education General Information Survey (HEGIS) series was designed to provide comprehensive information on various aspects of postsecondary education in the United States and its territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) and Department of Defense schools outside the United States. Data are available for both public and private two-year and four-year institutions. The HEGIS Financial Statistics component for 1968-1969 offers financial data for 2,814 institutions of higher education. Variables include current funds revenues by source, current funds expenditures by function, physical plant assets, indebtedness on physical plant, endowment assets, and changes in fund balances.
description: Datasets: 
 
 DS0: Study-Level Files 
 DS1: Main Data File 
 DS2: HEGIS Record Layout
description: Higher Education General Information Survey (HEGIS) Series
description: The HEGIS Record Layout file (Part 2) is an Excel worksheet of record layouts for all components of the HEGIS survey, including the 1968-1969 Financial Statistics component.
This collection has not been processed by ICPSR staff. ICPSR is distributing the data and documentation for this collection in essentially the same form in which they were received. When appropriate, hardcopy documentation has been converted to machine-readable form and variables have been recoded to ensure respondents' anonymity.
description: All postsecondary institutions in operation during 1968-1969 in the United States and its territories (American Samoa, Guam, Puerto Rico, the Virgin Islands, and the Marshall Islands) and Department of Defense schools outside of the United States.
DOI: 10.5281/zenodo.11097395
title: VMXi Classification Dataset: Micrographs of Protein Crystallisation Experiments with Labels of Experimental Outcomes

description: The VMXi Classification Dataset consists of images of protein crystallisation experiments collected on a Rock Imager 1000 (Formulatrix, USA) automated microplate imager at the VMXi experimental facility at Diamond Light Source, UK. These images were used to train the CHiMP (Crystal Hits in My Plate) Classifier network that classifies images into categories of experimental outcome.



The directory named "VMXi_Classification_Images", consists of 18,782 JPEG images with a resolution of 3376 × 2704 pixels. 

13,951 of these images are associated with a label describing the experimental outcome depicted in the images. The labels are Clear, Crystals, Precipitate or Other.

The file "VMXi_Classification_Train.csv" contains filenames and labels for the 11,161 images in the training set used for the CHiMP Classifier network.

The file "VMXi_Classification_Validation.csv" contains filenames and labels for the 2,790 images in the validation set used for the CHiMP Classifier network.


In addition, an independent test set of images are included in the directory named "VMXI_Classification_Test_Dataset". Within this direcectory:



The subdirectory named "VMXi_Classification_Test_Images" contains 1000 JPEG images with a resolution of 3376 × 2704 pixels.

Each image is associated with a label describing the experimental outcome depicted in the images. The labels are Clear, Crystals, Precipitate or Other.

The file "unambiguous_test_dataset.csv" contains filenames and labels for the 632 images in the test set where three experts independently agreed on a label.

The file "mostly_unambiguous_test_dataset.csv" contains filenames and labels for the 949 images in the test set where at least two experts independently agreed on a label.

The file "original_expert_labels.csv" contains filenames for all 1000 images and the labels given by three experts independently. The column headed "expert_1_1" refers to labels given by expert number 1 at a timepoint 6 months prior to categorising the images again, given in the column "expert_1_2". The columns "expert_2" and "expert_3" contain the labels given by experts 2 and 3 respectively.

The unambiguous and mostly unambiguous test sets were created from the categories chosen by "expert_1_2", "expert_2" and "expert_3"
DOI: 10.5281/zenodo.11110372
title: CHiMP Detector Datasets: Images of Sitting Drop Protein Crystallisation Experiments with Associated Image Masks of Drops and Crystals

description: The CHiMP Detector Datasets consist of images of protein crystallisation experiments along with corresponding zipped NumPy archive files (.npz). All images have had their histograms adjusted using the Contrast Limited Adaptive Histogram Equalization ((CLAHE) algorithm using the OpenCV library with grid size of 12 and are in JPEG format. The .npz files contain class labels and instance segmentation masks for both the experimental droplets and any crystals that an expert annotator has deemed to be interesting/mountable. To class labels and masks can be loaded in the following way:

import numpy as np
# load in the mask and class label list from .npz file located at mask_path
mask_file = np.load(mask_path)
masks = list(mask_file["masks"].astype(int))
class_labels = list(mask_file["class_labels"])

There are two datasets within this archive:



The VMXi CHiMP Detector Dataset. This consists of 237 images of resolution 1688 × 1352 pixels with corresponding masks. These images were collected on a Rock Imager 1000 (Formulatrix, USA) automated microplate imager at the VMXi experimental facility at Diamond Light Source, UK. These images and masks were used to train the VMXi CHiMP (Crystal Hits in My Plate) Detector network that performs object detection and instance segmentation of crystals in experimental micrographs using a Mask-R-CNN architecture. The files "vmxi_detector_training.csv" and "vmxi_detector_validation.csv" provide the filenames of the members of the training and validation sets respectively.

The XChem CHiMP Detector Dataset. This consists of 350 images of resolution 1024 × 1224 pixels with corresponding masks. These images were collected on a Rock Imager 1000 (Formulatrix, USA) automated microplate imager at the Crystallisation Facility@Harwell, located in the Research Complex at Harwell (RCaH). In addition to the images in the VMXi CHiMP Detector, these images were used to train the XChem CHiMP (Crystal Hits in My Plate) Detector network that performs object detection and instance segmentation of masks and crystals in experimental micrographs using a Mask-R-CNN architecture. The files "xchem_detector_training.csv" and "xchem_detector_validation.csv" provide the filenames of the members of the training and validation sets respectively.
DOI: 10.6084/m9.figshare.24757185.v1
title: World Harbour Project water sample data

description: This project assessed sewage contamination using human fecal indicators detected by molecular methods. For harbour and coastal water samples obtained from 18 cities across five continents (<i>n</i>=442), nearly half had evidence of sewage contamination using human fecal bacteria as molecular indicators. In contrast, traditional measures using cultured <i>E. coli</i> or enterococci, were elevated in ~18% of the samples, with less than half confirmed for sewage contamination. Importantly, given the human health risk, loss of ecosystem services, and economic costs associated with contaminated coastal waters, more reliable methods are needed for quantifying sewage contamination in urban waterways.
DOI: 10.15468/dl.1sx88p
title: Occurrence Download

description: A dataset containing 1408 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lagostomus maximus (Desmarest, 1817)"
 ]
}

 The dataset includes 1408 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004422-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7vsbc
title: Occurrence Download

description: A dataset containing 769 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scapteromys Waterhouse, 1837"
 ]
}

 The dataset includes 769 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066026-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mk0lly
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dasypus hybridus (Desmarest, 1804)"
 ]
}

 The dataset includes 210 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004490-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnwqku
title: Occurrence Download

description: A dataset containing 476 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zaedyus pichiy (Desmarest, 1804)"
 ]
}

 The dataset includes 476 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004495-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3n1kg
title: Occurrence Download

description: A dataset containing 801 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Reithrodon auritus (Fischer, 1814)"
 ]
}

 The dataset includes 801 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004485-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7tozr
title: Occurrence Download

description: A dataset containing 4891 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Akodon azarae (Fischer, 1829)"
 ]
}

 The dataset includes 4891 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004429-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dsfph2349r.1
title: Monte Carlo simulation datasets of vehicle yaw moment intervention in nonlinear critical region

description: This dataset contains 48 sets of data, each set 10000 samples. The file name indicates the state of vehicle plane motion, examples are as follows: (1) The "u05_stf8_vx15" indicates the road friction coefficient is 0.5, steering angle of front wheel is -0.08 rad and the current longitudinal velocity is 15m/s. (2) The "u06_stf10_vx25" indicates the road friction coefficient is 0.6, steering angle of front wheel is -0.10 rad and the current longitudinal velocity is 25m/s. (3) The "u07_stf12_vx30" indicates the road friction coefficient is 0.7, steering angle of front wheel is -0.12 rad and the current longitudinal velocity is 30m/s. Features: (1) T1: initial torque (2) T2: stable torque (3) t: time interval (4) a: quadratic coefficient (5) SD: Standard Deviation of sideslip angle (rear wheel) This dataset is published by the team of Prof. Li Yufang from Nanjing University of Aeronautics and Astronautics, China. If you encounter any problems, please contact the author Baichuan Lou.
DOI: 10.21415/qv4v-1q83
title: CHILDES Mandarin TCCM-Reading Corpus
DOI: 10.26093/cds/vizier.36189010
title: SgrA* orbital motions with GRAVITY

description: VizieR online Data Catalogue associated with article published in journal Astronomy & Astrophysics with title 'Detection of orbital motions near the last stable circular orbit of the massive black hole SgrA*.' (bibcode: 2018A&A...618L..10G)
DOI: 10.4121/bca22ec1-32e3-4eed-826b-509c621be7bc
title: Data from the Guide Basin in the NE Tibet over the past 13.7-10 Ma

description: A total of 3700 samples (~10 cm sampling resolution) were collected after removal of the weathered outcrop surface (this removed surface corresponds to a minimum of the uppermost 0.5 m). Approximately 5 g of each sample were ground into powder and passed through a 200-mesh sieve. Samples were measured by a portable energy-dispersive Innov-X Systems X-ray fluorescence spectrometer in geochemistry mode using beam 1 (50 kv) and beam (10 kv) at the Chinese University of Geoscience (Wuhan). About 0.5 g of each powdered sample was further sieved using a 150-mesh screen, and mineral contents were subsequently determined using a Olympus Terra BTX II X-Ray Diffraction Analyzer at the Chinese University of Geoscience (Wuhan). The measurement time for each sample was at least 25 min.
DOI: 10.5281/zenodo.12188578
title: One year dataset of an education modular building

description: We propose a dataset representing the physical behavior (indoor/outdoor physico-chemical parameters and systems operating conditions) of a modular education building (NR3) located on CESI Engineering School of Nanterre (Approximate GPS coordinates: 48.9033,2.1925). NR3 building is composed of 16 shipping containers offering an available surface of ≈220m² on two levels. It integrates 4 classrooms named Turing (38 m²), Tesla (51 m²), Nobel (38 m²) and Lumière (38 m²); a IT room named Bell (8.7 m²); an office named Nobel2 (8.7m²); a technical room named Local_tech and a hall distributed on the 2 levels. Data comes from a network of more than 150 sensors and actuators.

The dataset is composed of 13 csv tables including physical indoor and outdoor parameters (temperature, humidity, particle concentration, radiation…), total electric consumption of the building, state and operating data of all systems (heat pump, CMV, shutters, windows…). Data were recorded during 1 year between the 1st of June 2023 and the 31 of May 2024. A redme.xlsx file and a map of the building helps to understand each table.
DOI: 10.5281/zenodo.13729657
title: rafaelagranzotti/stability-synchrony-PIAP: Dataset

description: Community stability, synchrony and diversity metrics from Granzotti et al 2024 - Journal of Animal Ecology
DOI: 10.5281/zenodo.3903810
title: COHERENT Collaboration data release from the first detection of coherent elastic neutrino-nucleus scattering on argon

description: Release of COHERENT collaboration data from the first detection of coherent elastic neutrino-nucleus scattering (CEvNS) on argon. This data release corresponds with the results of "Analysis A" published in arXiv:2003.10630[nucl-ex]. The data release enables further studies of CEvNS. Use of the data release is presented in the accompanying pdf document within this submission. Example code is included within the release as part of this submission. The materials here are also available at http://coherent.ornl.gov/data/, which preserves the directory structure used within the accompanying document. Note the use of the example code in this release expects the directory structure written within the accompanying pdf document.
DOI: 10.5281/zenodo.7338746
title: Processed Single-cell RNA-seq Data for Exercise Rejuvenation Intervention on Mouse Subventricular Zone

description: Exercise single-cell RNA-seq data of mouse subventricular zone (in processed Seurat object) used in the publication "Cell type-specific aging clocks to quantify aging and rejuvenation in regenerative regions of the brain" (preprint available at https://doi.org/10.1101/2022.01.10.475747).
DOI: 10.6084/m9.figshare.27021496
title: Supplementary Material for: Use of preoperative immunotherapy in locally advanced unresectable cutaneous squamous cell carcinoma – a case report

description: Introduction: Cutaneous squamous cell carcinoma (cSCC) is the second most common skin cancer. Surgery is the standard of care with curative intent of localized disease, however, for large head and neck cSCCs it is associated with high morbidity. Cemiplimab, an antibody anti programmed cell death-1 (PD-1) protein, is effective in locally advanced unresectable or metastatic cSCC. A pilot study demonstrated a high rate of pathologic complete response using cemiplimab in the neoadjuvant setting. 
Case Presentation: Here, we report the case of a 84-year-old man with two locally advanced unresectable sSCCs (a nasolabial lesion and a retroauricular lesion) treated with cemiplimab, for whom closer follow-up revealed a complete response of the retroauricular lesion and a partial response of the nasolabial lesion after 4 cycles. Patient will be submitted to nasolabial lesion resection. 
Conclusion:This illustrates the efficacy of the use of cemiplimab as preoperative therapy in advanced unresectable cSCC, facilitating a definitive surgical treatment.