cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/06cf98cb0491508a3b0d2e8f116389ee
title: North Temperate Lakes LTER: Chemical Limnology of Primary Study Lakes: Nutrients, pH and Carbon 1981 - current

description: Parameters characterizing the nutrient chemistry of the eleven primary lakes (Allequash, Big Muskellunge, Crystal, Sparkling, and Trout lakes, unnamed lakes 27-02 [Crystal Bog] and 12-15 [Trout Bog], Mendota, Monona, Wingra, and Fish) are measured at multiple depths throughout the year. These parameters include total nitrogen, total dissolved nitrogen, nitrite+nitrate-N, ammonium-N, total phosphorus, total dissolved phosphorus, dissolved reactive phosphorus (only in the southern lakes and not in Wingra and Fish after 2003), bicarbonate-reactive filtered and unfiltered silica (both discontinued in 2003), dissolved reactive silica, pH, air equilibrated pH (discontinued in 2014 in the northern lakes and in 2020 in the southern lakes), total alkalinity, total inorganic carbon, dissolved inorganic carbon, total organic carbon, dissolved organic carbon, and total particulate matter (only in the northern lakes in this data set; total particulate matter in southern lakes starting in 2000 is available in a separate dataset). Sampling Frequency: Northern lakes- monthly during ice-free season - every 5 weeks during ice-covered season. Southern lakes- Southern lakes samples are collected every 2-4 weeks during the summer stratified period, at least monthly during the fall, and typically only once during the winter, depending on ice conditions. Number of sites: 11
DOI: 10.25549/usctheses-ouc11399khof
title: SOUND AS STRUCTURE: REORIENTING PERFORMANCE THROUGH MOVEMENT, SPACE, AND MEMORY
DOI: 10.25549/usctheses-ouc11399khnu
title: Three Essays on Race, Gender, and Institutional Constraints Shaping Representation in U.S. Legislatures
DOI: 10.5281/zenodo.15125050
title: iPhone 8 barbell squat form measurments

description: About the dataset

This data was obtained using Iphone8. Created a Swift program that can access sensors like: accelerometer, gyroscope and other values. Magnometer was not included because a bunch of sources told that it was dependent on the surroudings. If you have a Iphone and a Mac you can use Xcode to measure squats. IMUREADER - https://github.com/likaiZnazis/IMUReader. Keep in mind that there is a sensor that is best suited for segmenting the signal (finding where the individual squats were made).

Datasets.zip file contains two datasets: 50hz and 100hz sampling rate. Meaning the sensor registered changes every 20 or 10 ms. Both 50 and 100 hz folders contain a bunch of csv files. These csv files where raw squat data is. Their names correspond to what type of form was performed, each csv file contains 10 squat segments. Total amount of squats per dataset are 240. Every single class is balanced both trough timestamps and segment amount.

100hz sampling rate is much better than 50hz.

How the dataset was made

You can view the full code of how this dataset was made at https://github.com/likaiZnazis/squat-Posture. First you will probably want to install all the dependency's, nice that I stored them inside a file - requierments.txt. Matplotlib must be installed also.

It's saved inside a numpy file. It's dimensions are (segments, features, timestamps). You can view this by:







import numpy as np





import os









data1 = os.path.join(os.getcwd(),"dataset","hz100","train_dataset.npy")



data = np.load(data1)

print(data.shape)


Making your own dataset

You can use code from both repos to make your own forms and squats. Keep in mind the phone placement (I placed it on the right thigh). By running command-line.py it will give you a interface on how you should run your commands to make a quality dataset.
DOI: 10.5281/zenodo.15125051
title: iPhone 8 barbell squat form measurments

description: INTRODUCTION

This dataset contains 6 different barbell squat forms: [squat forms]. These forms where chosen as the most common forms for barbell squat performers. There are 3 correct and 3 incorrect forms. This is done so that the dataset classes are balanced torugh the whole dataset.

Experimental protocol - when squats where measured the phone was placed inside the pocket. No additional straping was used. Sets and reps where perfored so that each form would hold the same amout of reps, making sure that the dataset is balanced.

Make your own dataset

https://github.com/likaiZnazis/IMUReader

First you will need a iPhone device, perferiablly one that atleast has iOS 15. Also you will need a MAC book to place the software on your iPhone trough Xcode (there are probably other ways but thats how I did it). Lets start with the squat meassuring part:

write about the setup

 

Now that you can measure and label your squats with your own forms. It is time for you to dome some squats and make some csv files.

Now that you have couple of csv files with squat meassurments, time to combine them into a single file:

write about the setup

Things to consider
DOI: 10.5281/zenodo.15467637
title: iPhone 8 barbell squat form measurments

description: About the dataset

This data was obtained using Iphone8. Created a Swift program that can access sensors like: accelerometer, gyroscope and other values. Magnometer was not included because a bunch of sources told that it was dependent on the surroudings. If you have a Iphone and a Mac you can use Xcode to measure squats. IMUREADER - https://github.com/likaiZnazis/IMUReader. Keep in mind that there is a sensor that is best suited for segmenting the signal (finding where the individual squats were made).

Datasets.zip file contains two datasets: 50hz and 100hz sampling rate. Meaning the sensor registered changes every 20 or 10 ms. Both 50 and 100 hz folders contain a bunch of csv files. These csv files where raw squat data is. Their names correspond to what type of form was performed, each csv file contains 10 squat segments. Total amount of squats per dataset are 240. Every single class is balanced both trough timestamps and segment amount.

100hz sampling rate is much better than 50hz.

How the dataset was made

You can view the full code of how this dataset was made at https://github.com/likaiZnazis/squat-Posture. First you will probably want to install all the dependency's, nice that I stored them inside a file - requierments.txt. Matplotlib must be installed also.

It's saved inside a numpy file. It's dimensions are (segments, features, timestamps). You can view this by:







import numpy as np





import os









data1 = os.path.join(os.getcwd(),"dataset","hz100","train_dataset.npy")



data = np.load(data1)

print(data.shape)


Making your own dataset

You can use code from both repos to make your own forms and squats. Keep in mind the phone placement (I placed it on the right thigh). By running command-line.py it will give you a interface on how you should run your commands to make a quality dataset.
DOI: 10.15468/dl.b9tz47
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Scaphinotus ridingsii (Bland, 1863)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 29 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008207-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/usctheses-ouc11399khou
title: Improvising Contact: Race, Gender, and Sexuality in Textual Scenes of Dance
DOI: 10.34740/kaggle/dsv/11875863
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25549/usctheses-ouc11399kho3
title: High-Performance Configurable Number Theoretic Transform Architectures for Enhanced Efficiency in Fully Homomorphic Encryption Accelerators
DOI: 10.25549/usctheses-ouc11399kho4
title: Guilty of Not Being White: Decolonial Literary Praxis After Afro-Punk
DOI: 10.25549/usctheses-ouc11399kho8
title: THE NEWTRO GLOBAL VIDEO VILLAGE: NAM JUNE PAIKâ€™S LEGACY AND THE HYBRIDIZATION OF K-POP
DOI: 10.25549/usctheses-ouc11399khow
title: Identifying a Quiescent Stem-like Phenotype and Its Regulator in Brain-Metastatic Cells by Characterizing Reduced Metabolic Activity, Associated With Enhanced Chemoresistance
DOI: 10.25549/usctheses-ouc11399khp5
title: MATERNAL AND FETAL SERPINA3 POLYMORPHISMS AND RISK OF PREECLAMPSIA: A DYAD- AND TRIAD-BASED CASE-CONTROL STUDY
DOI: 10.17909/sfym-p902
title: Data from "A High-Resolution NUV Transmission Spectrum of KELT-9b: Mg II and Fe II Escaping from the Hottest Known Giant Planet"

description: All HST/STIS E230M observations used in the paper entitled "A High-Resolution NUV Transmission Spectrum of KELT-9b: Mg II and Fe II Escaping from the Hottest Known Giant Planet"
DOI: 10.5281/zenodo.14501398
title: Rock Glacier Inventories (RoGI) in 12 areas worldwide using a multi-operator consensus-based procedure

description: The Rock Glacier Inventories and Kinematics community (RGIK) has defined standards for generating Rock Glacier Inventories (RoGI). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the World. Each RoGI team was composed of five to ten operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers.The dataset consists of three GeoPackage files for each area: 1) the Primary Markers (PM) locating and characterising the identified Rock Glacier Units (RGU), 2) the Moving Areas (MA) delineating areas with surface movement associated with the rock glacier creep, based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and 3) the Geomorphological Outlines (GO) delineating the restricted and extended RGU boundaries. Here we describe the content, structure, and naming convention of the final PM/MA/GO dataset. The RoGI guidelines, the GeoPackage (gpkg) templates for performing similar RoGI in other areas, and exercises based on the QGIS tool are available on the RGIK website. The data can be viewed in a dedicated WebGIS tool.

Associated ESSD paper: Rouyet, L. et al. 2025. Rock Glacier Inventories (RoGI) in 12 areas worldwide using a multi-operator consensus-based procedure, Earth Syst. Sci. Data. https://doi.org/10.5194/essd-2024-598.

Funding: The initiative is funded by the European Space Agency Permafrost Climate Change Initiative (ESA CCI Permafrost, contract 4000123681/18/I-NB). The work of the Rock Glacier Inventories and Kinematics (RGIK) community has been supported by the International Permafrost Association (IPA), GCOS Switzerland, and SwissUniversities.
DOI: 10.5281/zenodo.14501399
title: Rock Glacier Inventories (RoGI) in 12 areas worldwide using a multi-operator consensus-based procedure

description: The Rock Glacier Inventories and Kinematics community (RGIK) has defined standards for generating Rock Glacier Inventories (RoGI). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the World. Each RoGI team was composed of five to ten operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers.The dataset consists of three GeoPackage files for each area: 1) the Primary Markers (PM) locating and characterising the identified Rock Glacier Units (RGU), 2) the Moving Areas (MA) delineating areas with surface movement associated with the rock glacier creep, based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and 3) the Geomorphological Outlines (GO) delineating the restricted and extended RGU boundaries. Here we describe the content, structure, and naming convention of the final PM/MA/GO dataset. The RoGI guidelines, the GeoPackage (gpkg) templates for performing similar RoGI in other areas, and exercises based on the QGIS tool are available on the RGIK website.

Funding: The initiative is funded by the European Space Agency Permafrost Climate Change Initiative (ESA CCI Permafrost, contract 4000123681/18/I-NB). The work of the Rock Glacier Inventories and Kinematics (RGIK) community has been supported by the International Permafrost Association (IPA), GCOS Switzerland, and SwissUniversities.
DOI: 10.5281/zenodo.15467203
title: Rock Glacier Inventories (RoGI) in 12 areas worldwide using a multi-operator consensus-based procedure

description: The Rock Glacier Inventories and Kinematics community (RGIK) has defined standards for generating Rock Glacier Inventories (RoGI). In the framework of the European Space Agency Climate Change Initiative for Permafrost (ESA CCI Permafrost), we set up a multi-operator mapping exercise in 12 areas around the World. Each RoGI team was composed of five to ten operators, involving 41 persons in total. Each operator performed similar steps following the RGIK guidelines and using a similar QGIS tool. The individual results were compared and combined after common meetings to agree on the final consensus-based solutions. In total, 337 “certain” rock glaciers have been identified and characterised, and 222 additional landforms have been identified as “uncertain” rock glaciers.The dataset consists of three GeoPackage files for each area: 1) the Primary Markers (PM) locating and characterising the identified Rock Glacier Units (RGU), 2) the Moving Areas (MA) delineating areas with surface movement associated with the rock glacier creep, based on spaceborne Interferometric Synthetic Aperture Radar (InSAR), and 3) the Geomorphological Outlines (GO) delineating the restricted and extended RGU boundaries. Here we describe the content, structure, and naming convention of the final PM/MA/GO dataset. The RoGI guidelines, the GeoPackage (gpkg) templates for performing similar RoGI in other areas, and exercises based on the QGIS tool are available on the RGIK website. The data can be viewed in a dedicated WebGIS tool.

Associated ESSD paper: Rouyet, L. et al. 2025. Rock Glacier Inventories (RoGI) in 12 areas worldwide using a multi-operator consensus-based procedure, Earth Syst. Sci. Data. https://doi.org/10.5194/essd-2024-598.

Funding: The initiative is funded by the European Space Agency Permafrost Climate Change Initiative (ESA CCI Permafrost, contract 4000123681/18/I-NB). The work of the Rock Glacier Inventories and Kinematics (RGIK) community has been supported by the International Permafrost Association (IPA), GCOS Switzerland, and SwissUniversities.
DOI: 10.25549/usctheses-ouc11399khod
title: Bulk and Edge Asymptotics in The Laguerre Ensemble
DOI: 10.25549/usctheses-ouc11399khoe
title: Toward the Shadow-Side of the Rocks: Palimpsest and Petropoiesis in the Prose of H.D.
DOI: 10.5066/p1hltahd
title: Eelgrass (Zostera marina) Maps from 2016 and 2020, Izembek Lagoon, Alaska

description: This data package includes 40 geospatial rasters (maps) depicting various metrics about eelgrass (Zostera marina) coverage at Izembek Lagoon, Alaska, during 2016 and 2020. Two maps were produced from two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020. Spectral classes derived from each satellite image were annotated and mapped based on data collected in the field at plots within each spectral class.
DOI: 10.5281/zenodo.15467796
title: SLR (2019-2025)
DOI: 10.5281/zenodo.15467797
title: SLR (2019-2025)
DOI: 10.15468/dl.g3kgcs
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Cyclotrachelus iuvenis (Freitag, 1969)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008209-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jen8y
title: Occurrence Download

description: A dataset containing 82659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Greece",
 "Geometry POLYGON((23.57804 36.89145,27.75411 36.82184,27.17465 40.36298,26.8145 41.13712,22.08162 41.06752,23.57804 36.89145))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 82659 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008181-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wrewb
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polychrus liogaster Boulenger, 1908"
 ]
}

 The dataset includes 158 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008212-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mar6vk
title: Occurrence Download

description: A dataset containing 35540 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-200.0",
 "GadmGid is one of (USA.6.40_1, USA.6.18_1, USA.6.37_1, USA.6.26_1, USA.6.56_1, USA.6.15_1, USA.6.34_1, USA.6.57_1, USA.6.50_1, USA.6.48_1, USA.6.2_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 35540 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008211-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26093/cds/vizier.36760136
title: SED of Magellanic Clouds classical Cepheids

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Spectral energy distributions of classical Cepheids in the Magellanic Clouds.' (bibcode: 2023A&A...676A.136G)
DOI: 10.26093/cds/vizier.36780158
title: APOGEE red-giant stars spectroscopic age estimates

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Spectroscopic age estimates for APOGEE red-giant stars: Precise spatial and kinematic trends with age in the Galactic disc.' (bibcode: 2023A&A...678A.158A)
DOI: 10.26093/cds/vizier.36900066
title: The host of GRB 171205A

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' The host of GRB 171205A in 3D. A resolved multiwavelength study of a rare grand-design spiral GRB host.' (bibcode: 2024A&A...690A..66T)
DOI: 10.26093/cds/vizier.36950075
title: Mapping the Milky Way with Gaia Bp/Rp spectra

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Mapping the Milky Way with Gaia Bp/Rp spectra. I. Systematic flux corrections and atmospheric parameters for 68 million stars.' (bibcode: 2025A&A...695A..75Y)
DOI: 10.15468/dl.tzrd4d
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bradycellus badipennis (Haldeman, 1843)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 42 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008213-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxr9e4
title: Occurrence Download

description: A dataset containing 1211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Tordylium apulum L.",
 "Year 1975-2025"
 ]
}

 The dataset includes 1211 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008215-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcxpu7
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isopora crateriformis (Gardiner, 1898)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 73 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008216-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arhfj5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Thymelaea gussonei Boreau",
 "Year 1975-2025"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008217-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14048074
title: Supporting data for "DamageDetective: detecting damage in scRNA-seq through probabilistic cytoplasmic RNA depletion"
DOI: 10.5281/zenodo.14048075
title: Supporting data for "Damage control: Benchmarking damaged cell detection strategies in single-cell RNA sequencing"
DOI: 10.5281/zenodo.15425648
title: Supporting data for "DamageDetective: detecting damage in scRNA-seq through probabilistic cytoplasmic RNA depletion"
DOI: 10.15468/dl.trt5v9
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Harpalus cordatus (LeConte, 1853)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 114 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008218-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.