cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14742252
title: Meteorological records of the three glaciers during the 2023 melt season

description: The glaciers are:

Yanong(29.33°N, 96.7°E)Parlung No.4 (29.23°N, 96.92°E) (files start with 4)Parlung No.94 (29.38°N, 96.97°E) (files start with 94)

Hourly meteorological data are provided in csv files per glacier. Data are quality controlled and obvious errors are removed. 

Filenames contain their station altitude and time range. For example, 'yanong4387_2023-08-27to2023-10-21' means altitude is 4387 meter and time range is from 2023/8/27 to 2023/10/21.
DOI: 10.5281/zenodo.14759290
title: Cooling effects of glaciers in the southeast Tibetan Plateau based on in-situ observations and WRF-LES simulation

description: For ground observation data:

The glaciers are:

Yanong(29.33°N, 96.7°E)Parlung No.4 (29.23°N, 96.92°E) (files start with 4)Parlung No.94 (29.38°N, 96.97°E) (files start with 94)

Hourly meteorological data are provided in csv files per glacier. Data are quality controlled and obvious errors are removed. 

Filenames contain their station altitude and time range. For example, 'yanong4387_2023-08-27to2023-10-21' means the station altitude is 4387 meter and time range is from 2023/8/27 to 2023/10/21. 

 

For WRF-LES simulation data:

The WRF-LES output files start with the name of "wrfout", files are in .nc format. They are the simulation result of the model domain D03 (a horizontal model resolution of 240m), detailed information about the model are written in the paper "Cooling effects of glaciers in the southeast Tibetan Plateau based on in-situ observations and WRF-LES simulation".
DOI: 10.5281/zenodo.14768460
title: Dataset for manuscript: On the Influence of Sea and Land Breezes on the –1 Spectral Scaling

description: Dataset corresponding to the article: On the Influence of Sea and Land Breezes on the –1 Spectral Scaling, by Yuechao Wang, Yaswanth Sai Jetti, Shyuan Cheng, Ostoja‐Starzewski, Leonardo P Chamorro and Bernardo Figueroa-Espinoza. 

This dataset comes from a measurement campaign using five sonic anemometers (two 3D and three 2D) installed on a 50-meter meteorological tower at a coastal meteorologic mast located at Sisal, Mexico, approximately 120 m inland from the shoreline, on the campus of Universidad Nacional Autónoma de México (UNAM).

This database contains a subset of the data collected during the original campaign, which was used to analyze the turbulence spectra of atmospheric boundary layer flows over both land and sea, with particular emphasis on the occurrence and characteristics of the −1 spectral scaling in the energy production region.

The data was compiled into an Excel file containing multiple sheets (Mexico_data.xlsx). The first sheet ("Contents") lists the dates and times of the corresponding samples, along with references to the respective sheets containing high frequency (10 Hz) raw data.

The anemometers were identified by an electronic ID, and installed at different heights above ground level, as shown in the following table:






ID



Type



z (m)







0



2D



4.43





2



2D



7.53





3



3D



12.26





1



2D



24.64





4



3D



50.27





Table 1: Heights of the anemometers above ground level

The database table headers follow this nomenclature. The recorded fields are described as follows:





Velocity components (m/s):





u: Velocity in the x-axis




v: Velocity in the y-axis




w: Velocity in the z-axis (only for 3D anemometers)





Examples of database fields:





u0: x-axis velocity (m/s) at z = 4.43m (Anemometer 1)




v0: y-axis velocity (m/s) at z = 4.43m (Anemometer 1)




u3: x-axis velocity (m/s) at z = 12.26m (Anemometer 3)




v3: y-axis velocity (m/s) at z = 12.26m (Anemometer 3)



Wind Direction Convention





0°: Wind from the east




90°: Wind from the north




Example: u = 1, v = 0 corresponds to an eastward wind, while u = 0,
	v = 1 corresponds to a northward wind (Cartesian plane orientation).



Additional Resources

🔗 Public access to the full dataset averaged values:

Averaged data (hourly or every 5 minutes) is stored in an open-source database and is accessible through the web portal (in spanish):

http://tepeu.sisal.unam.mx/vientosisal/concat.php

http://ocse.mx/en/experimento/torre-sisal
DOI: 10.5281/zenodo.14768461
title: Dataset for manuscript: On the Influence of Sea and Land Breezes on the –1 Spectral Scaling

description: Dataset corresponding to the article: On the Influence of Sea and Land Breezes on the –1 Spectral Scaling, by Yuechao Wang, Yaswanth Sai Jetti, Shyuan Cheng, Ostoja‐Starzewski, Leonardo P Chamorro and Bernardo Figueroa-Espinoza. 

This dataset comes from a measurement campaign using five sonic anemometers (two 3D and three 2D) installed on a 50-meter meteorological tower at a coastal meteorologic mast located at Sisal, Mexico, approximately 120 m inland from the shoreline, on the campus of Universidad Nacional Autónoma de México (UNAM).

This database contains a subset of the data collected during the original campaign, which was used to analyze the turbulence spectra of atmospheric boundary layer flows over both land and sea, with particular emphasis on the occurrence and characteristics of the −1 spectral scaling in the energy production region.

The data was compiled into an Excel file containing multiple sheets (Mexico_data.xlsx). The first sheet ("Contents") lists the dates and times of the corresponding samples, along with references to the respective sheets containing high frequency (10 Hz) raw data.

The anemometers were identified by an electronic ID, and installed at different heights above ground level, as shown in the following table:






ID



Type



z (m)







0



2D



4.43





2



2D



7.53





3



3D



12.26





1



2D



24.64





4



3D



50.27





Table 1: Heights of the anemometers above ground level

The database table headers follow this nomenclature. The recorded fields are described as follows:





Velocity components (m/s):





u: Velocity in the x-axis




v: Velocity in the y-axis




w: Velocity in the z-axis (only for 3D anemometers)





Examples of database fields:





u0: x-axis velocity (m/s) at z = 4.43m (Anemometer 1)




v0: y-axis velocity (m/s) at z = 4.43m (Anemometer 1)




u3: x-axis velocity (m/s) at z = 12.26m (Anemometer 3)




v3: y-axis velocity (m/s) at z = 12.26m (Anemometer 3)



Wind Direction Convention





0°: Wind from the east




90°: Wind from the north




Example: u = 1, v = 0 corresponds to an eastward wind, while u = 0,
	v = 1 corresponds to a northward wind (Cartesian plane orientation).



Additional Resources

🔗 Public access to the full dataset averaged values:

Averaged data (hourly or every 5 minutes) is stored in an open-source database and is accessible through the web portal (in spanish):

http://tepeu.sisal.unam.mx/vientosisal/concat.php

http://ocse.mx/en/experimento/torre-sisal
DOI: 10.21947/2228902
title: WFIP3 - MVCO site - NREL Thermodynamic profiler (Assist II-10) / Raw Data

description: This dataset contains raw summary data from the WFIP3 MVCO site NREL thermodynamic profiler (Assist II-10).
DOI: 10.21947/2228903
title: WFIP3 - MVCO Airport site - NREL Thermodynamic profiler (Assist II-10) / Processed Data

description: This dataset contains processed data from the MVCO Airport site NREL thermodynamic profiler (Assist II-10).
DOI: 10.15485/2406989
title: Data and scripts associated with “Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds” (v2)

description: This data package is associated with the publication “Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds” submitted to Biogeochemistry by Ryan et al., 2024 (DOI: https://doi.org/10.1007/s10533-024-01169-5). This study aims to investigate fundamental and transferable drivers of dissolved organic matter (DOM) diversity across five nested watersheds within the contiguous United States. DOM diversity was explored using ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). The samples and the unprocessed FTICR-MS data used in this study are publicly available on the Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) data repository (see DOIs below). The data for the Willamette, Gunnison, Connecticut, and Deschutes basins were collected as part of a collaboration between the Watershed Rules of Life (WROL) project and Worldwide Hydrobiogeochemistry Observation Network for Dynamic River Systems (WHONDRS). The data for the Yakima River basin (YRB) was collected by the PNNL River Corridor SFA. The raw, unprocessed FTICR-MS data with additional (meta)data can be found at doi:10.15485/1895159 for WROL samples and doi:10.15485/1898912 for YRB samples. This data package contains the processed data used in the associated manuscript. This package also contains ancillary geospatial, hydrological, and geochemical information that supports the interpretation of the FTICR-MS data within Ryan et al., 2024.This data package is associated with the GitHub repository found at https://github.com/WHONDRS-Hub/rcsfa-RC4-WROL-YRB_DOM_Diversity.This data package was originally published August 2024. It was updated January 2025 (modified files). See the change history in the readme more details. At the directory level, the data package is comprised of three folders: (1) data, (2) output, and (3) src; and five additional files including the data dictionary (file ending in "_dd.csv”) and file-level metadata (file ending in “_flmd.csv”). The “src” folder contains the scripts used to process the FTICR data, conduct the analyses, and produce the manuscript figures. The inputs for these scripts are in the “data” folder and the returned outputs in the “output” folder. Inputs include temporal and spatial metadata associated with the sampling efforts, processed FTICR data, and total and normalized putative biochemical transformations per sample. Outputs include cleaned and combined data presented as tables, descriptive statistics, and plots. The file-level metadata file lists all files contained in this data package and descriptions for each. The data dictionary describes the units and definitions for each tabular data column or row header.
DOI: 10.6084/m9.figshare.28307198.v1
title: Light Pollution Reduction during Earth Hour

description: raw data and code for replication of analysis
DOI: 10.20350/digitalcsic/17032
title: SARS-CoV-2 survey of reads data and transmission analysis of two datasets

description: [Description of methods used for collection/generation of data] A worldwide survey using the GISAID EpiCov database was conducted on 2022-06-15, resulting in the collection of a SARS-CoV-2 genome dataset. Another worldwide survey using the ENA database was conducted on 2024-12-10. The second survey returned raw reads, and so the code and main processed files are made available here. The "output" folder contains the pipeline output files, including lineage assignment and repaired deletion identification results. Then, transcluster v2.1.0 was run on these datasets. For each dataset, input files containing lists of sample identifiers are contained in the "input" folder. The "output" folder contains the pipeline output files, consisting on a separate folder for each of the input lists, as well as a "summary" folder. Each "config/config.yaml" file describes the pipeline configuration of each run.
description: [Methods for processing the data] Each compressed tarball contain files that are inputs or outputs from self-contained Snakemake workflows with per-rule conda environments that can be easily replicated via a one-line command line command. Further pipeline documentation is available at https://github.com/PathoGenOmics-Lab/ena-spike-ntd-repdel-analysis and https://github.com/PathoGenOmics-Lab/transcluster.
description: Processed data, code, configuration files and main results of a survey of raw reads data and the transmission analysis of two datasets of SARS-CoV-2 records assigned to the BA.1 Omicron lineage carrying spike NTD deletion repairs. The survey brought out 1,541,892 matching records as of 10 December 2024, of which 464,859 records selected at random for further analysis. For each, FASTQ files were retrieved from via the ENA Portal API and processed to detect the specific genetic variants. For the transmission analysis, aligned genomes were placed on a mutation-annotated tree, and transmission clusters were detected using a breadth-first search approach. Additionally, a fitness metric was estimated for each cluster. Finally, a series of figures (including sample timelines, comparisons of estimated fitness and missing data) were generated. The pipeline used for this analysis, transcluster v2.0.0, is a Snakemake workflow released as free software under the GNU GPLv3 license. The source code is included here, and is also available in GitHub (survey: https://github.com/PathoGenOmics-Lab/ena-spike-ntd-repdel-analysis; transmission estimation: https://github.com/PathoGenOmics-Lab/transcluster).
description: File List: ena-analysis.tar.xz, transcluster-ena.tar.xz, transcluster-gisaid.tar.xz
DOI: 10.15468/dl.r7nqgw
title: Occurrence Download

description: A dataset listing the 61 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.2.108_2",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 61 records were derived from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004873-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzhvmp
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (USA.29_1, USA.45_1, USA.3_1, USA.5_1)",
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Sisyrinchium radicatum E.P.Bicknell)"
 ]
 }
 ]
}

 The dataset includes 46 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004874-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.3qzxnokv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.mutcnv
title: Occurrence Download

description: A dataset containing 6703 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (USA.29_1, USA.45_1, USA.3_1, USA.5_1)",
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Yucca jaegeriana (McKelvey) L.W.Lenz)"
 ]
 }
 ]
}

 The dataset includes 6703 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004876-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4xk5r
title: Occurrence Download

description: A dataset containing 69151 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Birds Distribution from the Birds Directive 2008-2012 RN2000"
 ]
}

 The dataset includes 69151 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004875-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/a1a6-mw32
title: ATPAD: An Accessible Tool for Atmospheric Data Processing and Visualization

description: ATPAD: An Accessible Tool for Atmospheric Data Processing and Visualization is a Python-based project that enables the analysis and visualization of pre-processed databases in an easy and freely accessible manner. As an example, we apply ATPAD to process and visualize data from the University Network of Atmospheric Observatories (RUOA) of the National Autonomous University of Mexico (UNAM), using three different stations located across Mexico. The access to the analyzed data-set an be found here. For the ATPAD code, please access: https://www.bremex-steaps.net/atpad
DOI: 10.15468/dl.73wfzv
title: Occurrence Download

description: A dataset containing 69151 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Birds Distribution from the Birds Directive 2008-2012 RN2000"
 ]
}

 The dataset includes 69151 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004877-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14768719
title: Syringe Services Programs in the U.S., 2019-2020

description: The universe of syringe services programs (SSP) across U.S. Territories and Tribal Nations was created by merging datasets maintained by the North American Syringe Exchange Network (NASEN) and RTI, including:  

·        SSPs in NASEN’s directory of known SSPs in the U.S., its territories, and Tribal Nations

·        SSPs in NASEN’s directory that do not wish to be publicly listed but have agreed to be contacted for research purposes

·        SSPs that belong to NASEN’s Buyer’s Club that are not part of the directory

·        SSPs that are not in NASEN’s directory and do not participate in the Buyer’s Club, but are known to NASEN

·        SSPs that have responded to prior RTI Arnold Ventures Surveys of SSPs that are not included in the NASEN directory

·        SSPs proactively identified through SSP networks by the study team and partners (e.g., state health department websites, state networks, regional conferences, partner organization networks).
DOI: 10.5281/zenodo.14768720
title: Syringe Services Programs in the U.S., 2019-2020

description: The universe of syringe services programs (SSP) across U.S. Territories and Tribal Nations was created by merging datasets maintained by the North American Syringe Exchange Network (NASEN) and RTI, including:  

·        SSPs in NASEN’s directory of known SSPs in the U.S., its territories, and Tribal Nations

·        SSPs in NASEN’s directory that do not wish to be publicly listed but have agreed to be contacted for research purposes

·        SSPs that belong to NASEN’s Buyer’s Club that are not part of the directory

·        SSPs that are not in NASEN’s directory and do not participate in the Buyer’s Club, but are known to NASEN

·        SSPs that have responded to prior RTI Arnold Ventures Surveys of SSPs that are not included in the NASEN directory

·        SSPs proactively identified through SSP networks by the study team and partners (e.g., state health department websites, state networks, regional conferences, partner organization networks).
DOI: 10.15468/dl.xxpsjd
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Comunidad de hormigas en la Orinoquia Colombiana: estructura en tiempo y espacio"
 ]
}

 The dataset includes 301 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004878-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfaj6p
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Comunidad de hormigas en la Orinoquia Colombiana: estructura en tiempo y espacio"
 ]
}

 The dataset includes 301 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004879-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbjrab
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "GadmGid is one of (USA.29_1, USA.45_1, USA.3_1, USA.5_1)",
 "OccurrenceStatus is one of (Present)",
 "TaxonKey is one of (Phacelia parishii A.Gray)"
 ]
 }
 ]
}

 The dataset includes 58 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004880-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gfu6kr
title: Occurrence Download

description: A dataset containing 25592 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbarium Amazonense"
 ]
}

 The dataset includes 25592 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004882-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13152122
title: Binary black-hole simulation SXS:BBH:1288

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13152123
title: Binary black-hole simulation SXS:BBH:1288

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.737qp2
title: Occurrence Download

description: A dataset listing the 338 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((27.76601 -26.71874,27.88516 -26.71874,27.88516 -26.6437,27.76601 -26.6437,27.76601 -26.71874))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 338 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044367-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hcvja5
title: Occurrence Download

description: A dataset containing 5641 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Vallisneria natans (Lour.) H.Hara, Salvinia natans (L.) All.)",
 "HasCoordinate is true",
 "Year is greater than 1900",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5641 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044373-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13152130
title: Binary black-hole simulation SXS:BBH:1238

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13152132
title: Binary black-hole simulation SXS:BBH:1238

description: Simulation of a black-hole binary system evolved by the SpEC code.