cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13907203
title: Lateral Variations in Upper Mantle Discontinuities beneath Northeast China Revealed by Seismic Ambient Noise

description: Data description:

 

CCdata.zip:

Re-sampling Cross-Correlation functions (4Hz) which contain three seismic arrays.

CEA contains HL, JL, LN and NM networks. 

NECESSarray contains YP network. NECsaids contains DB network. 

All the stations are located east of 122E, between 41N and 46N. 

The cross-correlations are used to retrieved body-wave reflections from mantle transition zone discontinuities.

 

Syntheticdata.zip:

contains two parts: 1Dtests and 2D tests

 

1Dtets: 

synthetic waveforms calculated by Qseis (Wang, 1999) after data-processings.

H is increased from 0 to 30 km. 

The distance is 100 km.  

 

2Dtests: 

raw synthetic waveforms calculated by SPECFEM2D (Tromp et al., 2008).

Three models with depressed d660 (model 1-3) and with a slab on the d660 (model 4).  

100 receiver stations (surface), from 305 km to 1295 km in 10 km increments.

49 vertical single-force sources (surface), from 320 km to 1280 km in 20 km increments 

 

NECsaidsDescription.docx:

Detailed description about the NECsaids project conducted in northeast China from October, 2010 to September, 2017.

 

station_loc.txt:

Coordinate file (station, longitude, latitude) of the stations.

 

Reference

Wang, R. (1999). A simple orthonormalization method for stable and efficient computation of Green's functions. Bulletin of the Seismological Society of America, 89(3), 733-741. doi: 10.1785/BSSA0890030733

Tromp, J., Komatitsch, D. and Liu, Q. Y. (2008). Spectral-element and adjoint methods in seismology. Commun Comput Phys 3, 1-32.
DOI: 10.5281/zenodo.13918246
title: Lateral Variations in Upper Mantle Discontinuities beneath Northeast China Revealed by Seismic Ambient Noise

description: Data description:

 

CCdata.zip:

Re-sampling Cross-Correlation functions (4Hz) which contain three seismic arrays.

CEA contains HL, JL, LN and NM networks. 

NECESSarray contains YP network. NECsaids contains DB network. 

All the stations are located east of 122E, between 41N and 46N. 

The cross-correlations are used to retrieved body-wave reflections from mantle transition zone discontinuities.

 

Syntheticdata.zip:

contains four parts: rawdata1d, rawdata2d, stackedwaveform-2d, and compare-1d

 

rawdata1d: 

raw synthetic waveforms calculated by Qseis (Wang, 1999) after data-processings.

H is increased from 0 to 30 km. 

The distance is 100 km.  

 

rawdata2d: 

raw synthetic waveforms calculated by SPECFEM2D (Tromp et al., 2008).

Three models with depressed d660 (model 1-3) and with a slab on the d660 (model 4).  

100 receiver stations (surface), from 305 km to 1295 km in 10 km increments.

49 vertical single-force sources (surface), from 320 km to 1280 km in 20 km increments 

 

stackedwaveform-2d:

The final depth results with different models.

 

compare-1d:

The waveforms used to compare the rf and cc.

 

Code:

These codes can be used to make the figures of synthetic and NCFs results. 

 

 

NECsaidsDescription.docx:

Detailed description about the NECsaids project conducted in northeast China from October, 2010 to September, 2017.

 

station_loc.txt:

Coordinate file (station, longitude, latitude) of the stations.

 

Reference

Wang, R. (1999). A simple orthonormalization method for stable and efficient computation of Green's functions. Bulletin of the Seismological Society of America, 89(3), 733-741. doi: 10.1785/BSSA0890030733

Tromp, J., Komatitsch, D. and Liu, Q. Y. (2008). Spectral-element and adjoint methods in seismology. Commun Comput Phys 3, 1-32.
DOI: 10.5281/zenodo.15287293
title: hypoatherina_temminckii_spades_01.fasta.gz
DOI: 10.5281/zenodo.15287294
title: hypoatherina_temminckii_spades_01.fasta.gz
DOI: 10.5281/zenodo.15287312
title: test2
DOI: 10.5281/zenodo.15287313
title: test2
DOI: 10.5281/zenodo.15287318
title: hypsolebias_ghisolfii_spades_01.fasta.gz
DOI: 10.5281/zenodo.15287319
title: hypsolebias_ghisolfii_spades_01.fasta.gz
DOI: 10.21227/yyt2-8v66
title: Time cost test results for authentication schemes

description: This dataset comprises the time cost of ten cryptographic operations on our testing platform, as well as the required number of operations and corresponding time consumption at each phase of the authentication schemes from six selected literature sources. The data is utilized for comparative analysis and evaluation of the operational efficiency among various identity authentication schemes.
DOI: 10.5281/zenodo.15287331
title: hypsolebias_flavicaudatus_spades_01.fasta.gz
DOI: 10.5281/zenodo.15287332
title: hypsolebias_flavicaudatus_spades_01.fasta.gz
DOI: 10.25438/wes02.26124355.v1
title: g2022 adid var

description: <b>Cross-platform Election Advertising Transparency Initiative (CREATIVE):</b> dataset of final variables including ad metadata, labels, and classification results for all advertising obtained from Google that ran during the 2022 general election period. Raw textual fields are excluded for ease of general user.<br>For more information, please visit our website: https://www.creativewmp.com/.<br>The Variable Description Table file contains brief descriptions for each variable in the dataset. The Variable Description Table is identical across all four repositories, so it only needs to be downloaded once.<b>NOTE</b>: Files are password locked. To get instant access to the password please fill out this form<br>
DOI: 10.15468/dl.e2atbs
title: Occurrence Download

description: A dataset containing 439785 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global distribution of marine forests [literature records]"
 ]
}

 The dataset includes 439785 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000129-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmw8qh
title: Occurrence Download

description: A dataset containing 444149 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NIEK_NES_2024"
 ]
}

 The dataset includes 444149 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000128-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25438/wes02.26124295.v1
title: fb 2022 adid text

description: <b>Cross-platform Election Advertising Transparency Initiative (CREATIVE):</b> dataset of fields pulled from Meta through keyword-based identification of all pages whose advertising possibly mentions 2022 federal candidates for office. It also includes creative elements extracted from audiovisual ads, including video transcriptions and overlaid text to images and videos.<br>For more information, please visit our website: https://www.creativewmp.com/.<br>The Variable Description Table file contains brief descriptions for each variable in the dataset. The Variable Description Table is identical across all four repositories, so it only needs to be downloaded once.<b>NOTE</b>: Files are password locked. To get instant access to the password please fill out this form<br>
DOI: 10.25438/wes02.26124325.v1
title: fb 2022 adid var

description: <b>Cross-platform Election Advertising Transparency Initiative (CREATIVE): </b>dataset of final variables including ad metadata, labels, and classification results for all advertising obtained from Meta through keyword-based identification of all pages whose advertising possibly feature 2022 federal candidates for office during the general election period. Raw textual fields are excluded for ease of general user.<br>For more information, please visit our website: https://www.creativewmp.com/.<br>The Variable Description Table file contains brief descriptions for each variable in the dataset. The Variable Description Table is identical across all four repositories, so it only needs to be downloaded once.<b>NOTE</b>: Files are password locked. To get instant access to the password please fill out this form
DOI: 10.25438/wes02.26124343.v1
title: g2022 adid text

description: <b>Cross-platform Election Advertising Transparency Initiative (CREATIVE):</b> dataset of fields pulled from Google for advertising that ran during the 2022 general election period. It also includes creative elements extracted from audiovisual ads, including video transcriptions and overlaid text to images and videos.<br>For more information, please visit our website: https://www.creativewmp.com/.<br>The Variable Description Table file contains brief descriptions for each variable in the dataset. The Variable Description Table is identical across all four repositories, so it only needs to be downloaded once.<b>NOTE</b>: Files are password locked. To get instant access to the password please fill out this form.<br>
DOI: 10.15468/dl.c6xfb8
title: Occurrence Download

description: A dataset containing 439012 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lithuanian Lepidoptera and Odonata"
 ]
}

 The dataset includes 439012 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000130-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3v8xbt
title: Occurrence Download

description: A dataset containing 68250 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anser erythropus (Linnaeus, 1758)"
 ]
}

 The dataset includes 68250 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000127-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15287329
title: Parametric Data for Both Elbows
DOI: 10.5281/zenodo.15287330
title: Parametric Data for Both Elbows
DOI: 10.5281/zenodo.14735403
title: Pre-Post Survey Data on the Effectiveness of Microlearning on Sustainable Digitalization

description: In this dataset, we survey data obtained in study on the effectiveness of microlearning to enhance competencies related to climate change. The study was conducted as an online field experiment with 140 participants who engaged in a microlearning activity on the sustainable use of smartphones between April 8, 2024, and May 31, 2024. Data was collected based on online surveys administered to participants before and after the microlearning intervention.

The dataset includes information on:



Socio-demographic characteristics of participants (age, gender, employment status)

Results from knowledge quizzes on sustainable smartphone use

Assessments of sustainability action competencies (knowledge of action possibilities, confidence in one's influence, willingness to act)

Data on learner satisfaction with the microlearning activity


The codebook as well as the description of scales and measurement provides detailed descriptions of all variables included in the dataset. Furthermore, to illustrate the microlearning activity, we have added an animated GIF. 

 

List of data:



Pre-post-survey data Microlearning4Sustainability (*.xlsx)

Pre-post-survey data Microlearning4Sustainability (*.csv)

Codebook Microlearning4Sustainability (*.xlsx), Original survey items in German

Scales and Measurement Microlearning4Sustainability (*.pdf) with additional information on indicators we used and how we measured them (includes also English version of survey items used)

Illustrative example of microlearning unit on sustainable digitalization (Screencast as animated *.gif)


 

Data acquisition and processing

The methods are described in Frosch, K., & Lindauer, F. (2025). Short bursts, big impacts? How effectively can we build competencies in climate change-related areas based on microlearning?  European Journal of Education (Special Issue Identifying Challenges in Education, Training and Capacity Building to Adapt to Climate Change Risks, 60(3): e70088. https://doi.org/10.1111/ejed.70088

 

Acknowledgments

The authors thank their student assistant Svenja Hädicke for designing the microlearning units used in the study. Further thanks go to Maximilian Bollow, Angelina Grunz, Rabina Judge, and Emilia Steinhauer for their assistance in recruiting participants for the study. Special thanks go to Olga Levina for co-curating the microlearning units on sustainable digitalization. 

 

Notes

Once the related research paper, which is currently under review, is published, the information will appear here.
DOI: 10.5281/zenodo.14735404
title: Pre-Post Survey Data on the Effectiveness of Microlearning on Sustainable Digitalization

description: In this dataset, we survey data obtained in study on the effectiveness of microlearning to enhance competencies related to climate change. The study was conducted as an online field experiment with 140 participants who engaged in a microlearning activity on the sustainable use of smartphones between April 8, 2024, and May 31, 2024. Data was collected based on online surveys administered to participants before and after the microlearning intervention.

The dataset includes information on:



Socio-demographic characteristics of participants (age, gender, employment status)

Results from knowledge quizzes on sustainable smartphone use

Assessments of sustainability action competencies (knowledge of action possibilities, confidence in one's influence, willingness to act)

Data on learner satisfaction with the microlearning activity


The codebook as well as the description of scales and measurement provides detailed descriptions of all variables included in the dataset. Furthermore, to illustrate the microlearning activity, we have added an animated GIF. 

 

List of data:



Pre-post-survey data Microlearning4Sustainability (*.xlsx)

Pre-post-survey data Microlearning4Sustainability (*.csv)

Codebook Microlearning4Sustainability (*.xlsx), Original survey items in German

Scales and Measurement Microlearning4Sustainability (*.pdf) with additional information on indicators we used and how we measured them (includes also English version of survey items used)

Illustrative example of microlearning unit on sustainable digitalization (Screencast as animated *.gif)


 

Data acquisition and processing

The methods are described in Frosch, K., & Lindauer, F. (2025). Short bursts, big impacts? How effectively can we build competencies in climate change-related areas based on microlearning?  European Journal of Education (Special Issue Identifying Challenges in Education, Training and Capacity Building to Adapt to Climate Change Risks, 60(3): e70088. https://doi.org/10.1111/ejed.70088

 

Acknowledgments

The authors thank their student assistant Svenja Hädicke for designing the microlearning units used in the study. Further thanks go to Maximilian Bollow, Angelina Grunz, Rabina Judge, and Emilia Steinhauer for their assistance in recruiting participants for the study. Special thanks go to Olga Levina for co-curating the microlearning units on sustainable digitalization. 

 

Notes

Once the related research paper, which is currently under review, is published, the information will appear here.
DOI: 10.6084/m9.figshare.28875404
title: Comparison of microbial assemblages associated with the stalked barnacle <i>Neolepas marisindica</i> from two adjacent hydrothermal vent fields on the Central Indian Ridge

description: In this study, we analyzed the bacterial composition and predicted functional profiles of <i>Neolepas</i><i> marisindica</i><i> </i>collected from two geographically adjacent hydrothermal vent fields, Solitaire (Site A) and Onnuri (Site D), located along the CIR.
DOI: 10.6084/m9.figshare.28875365
title: <b>A dataset of carbon parameters for the 24,366 lakes in China from 40-year Landsat observations</b>

description: Lakes function as receivers, regulators, reactors, and reservoirs in the global carbon cycle. However, long-term and national-scale monitoring data on lake carbon parameters are not available. Alternatively, long-term archived Landsat data have potential for enhancing the spatial and temporal retrievals of lake carbon parameters. Using Landsat reflectance during 1984-2023 and in-situ measurements at 5,503 stations, this study developed two-step Random Forest algorithms and remotely retrieved concentrations and storage of dissolved organic carbon (DOC), particulate organic carbon (POC), and dissolved inorganic carbon (DIC) across 24,366 lakes in China, named the China Lake Carbon Parameter (CLCP) dataset. The generated dataset exhibits a spatial resolution of 0.1° with an annual temporal resolution.
DOI: 10.5281/zenodo.15262450
title: Dataset of "Correlating spatially resolved catalysis and Raman spectroscopy during CO oxidation over Cu/CeO2 catalysts"

description: This zip file contains the dataset of the publication "Correlating spatially resolved catalysis and Raman spectroscopy during CO oxidation over Cu/CeO2 catalysts". The authors are Simone Stolz, Henrik Hoyer and Christan Hess*. The zip file includes the data for figures 1-4 in the manuscript and the data for figures S3-S10 in the SI.

*email: christian.hess@tu-darmstadt.de
description: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German research foundation) – CRC 1487, „Iron, upgraded!“ – project number 443703006 as well as project HE 4515/11-2.
DOI: 10.5281/zenodo.15262451
title: Dataset of "Correlating spatially resolved catalysis and Raman spectroscopy during CO oxidation over Cu/CeO2 catalysts"

description: This zip file contains the dataset of the publication "Correlating spatially resolved catalysis and Raman spectroscopy during CO oxidation over Cu/CeO2 catalysts". The authors are Simone Stolz, Henrik Hoyer and Christan Hess*. The zip file includes the data for figures 1-4 in the manuscript and the data for figures S3-S10 in the SI.

*email: christian.hess@tu-darmstadt.de
description: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German research foundation) – CRC 1487, „Iron, upgraded!“ – project number 443703006 as well as project HE 4515/11-2.
DOI: 10.25574/29975
title: Chandra X-ray Observatory ObsId 29975

description: SMBH Growth in Local Low-Mass Mergers
DOI: 10.25574/30906
title: Chandra X-ray Observatory ObsId 30906

description: Calibration of the quasar Hubble diagram with z &lt;~ 0.7 quasars as CATs
DOI: 10.5517/ccdc.csd.cc2jtf3x
title: CCDC 2348129: Experimental Crystal Structure Determination

description: Related Article: Minitha Radha, T. K. Sindhu, S. Santhosh Kumar, A. Abhilash|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15468/dl.kgb7am
title: Occurrence Download

description: A dataset containing 5380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Symplocos cochinchinensis (Lour.) S.Moore"
 ]
}

 The dataset includes 5380 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012274-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29114669
title: SEA300_417rDNA_variant_calls

description: Variant call file from short read sequencing for near isogenic C. elegans line with ~417 rDNA copies (SEA300)
DOI: 10.15468/dl.9d6x77
title: Occurrence Download

description: A dataset containing 784 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies nordmanniana",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 784 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084072-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/5yn3-r842
title: "SCIMD-6: Source Camera Identification \u2014 Mobile Devices Dataset"

description: "# \ud83d\udcf7 SCIMD-6: Source Camera Identification \u2014 Mobile Devices Dataset## \ud83d\udcc2 Overview**SCIMD-6** is a carefully curated image dataset developed at **Bapatla Engineering College** to support research in **source camera identification** using images from **mobile devices**. The dataset contains **6315 RGB images**, acquired from **six different smartphones** under **diverse real-world conditions**.## \ud83d\udcf1 Devices UsedMobile DeviceNumber of ImagesMoto G64 5G         1006Moto G85 5G         1037Nothing A0011036Realme 8 Pro         1001Redmi 14C 5G1014Xiaomi M2101K6P     1221Total6315 \ud83d\udccc *Note*: Slight imbalance exists across classes but overall distribution is fairly uniform.## \ud83c\udf04 Image Characteristics- \ud83d\udcd0 **Resolution**: All images are resized to **224\u00d7224** pixels for compatibility with CNN architectures.- \ud83c\udf24\ufe0f **Conditions**: Captured in a variety of **uncontrolled environments**, including:  - Indoor and outdoor  - Sunny and rainy weather  - Casual perspectives and variable lighting- \ud83e\udd33 **Capture Style**: Intentional lack of discipline in framing adds **real-world complexity** for model robustness testing."
DOI: 10.15468/dl.3yz2aj
title: Occurrence Download

description: A dataset containing 3668 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bradornis comitatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 3668 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084074-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hwy5xp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pachytroctes aegyptius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084075-250717081556266/datasets/export for details.
DOI: 10.15468/dl.j22b5x
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.7371 36.75758,-4.72821 36.75206,-4.71883 36.75825,-4.73009 36.76609,-4.74069 36.76384,-4.7371 36.75758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2001-2025"
 ]
}

 The dataset's 5 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010850-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynb8u2
title: Occurrence Download

description: A dataset containing 2106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lumnitzera racemosa Willd."
 ]
}

 The dataset includes 2106 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077052-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.