cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11047070
title: Research data management and sharing in Educational Research

description: The burgeoning volume of data generated in scientific research remains largely untapped, constraining its potential to drive advancements. Openness and accessibility of data are paramount for scientific progress, fostering transparency, replicability, and reusability. Within the educational realm, the lack of data sharing and reuse presents significant challenges. This study delves into the perceptions and practices of Educational Sciences researchers regarding data sharing in Spain through a survey-based approach.The findings reveal a diversity in data management practices, with a tendency towards publication on academic platforms and a shared responsibility among team members, albeit with some centralization in the hands of the principal investigator. While the perception towards data sharing is generally positive, a substantial proportion of researchers still refrain from engaging in this practice, coupled with a lack of formal data management plans. These findings underscore the imperative to cultivate a culture of transparency, collaboration, and accountability in data management within the educational scientific community, addressing the barriers that hinder effective data sharing and management in educational research.
DOI: 10.5281/zenodo.11047071
title: Research data management and sharing in Educational Research

description: The burgeoning volume of data generated in scientific research remains largely untapped, constraining its potential to drive advancements. Openness and accessibility of data are paramount for scientific progress, fostering transparency, replicability, and reusability. Within the educational realm, the lack of data sharing and reuse presents significant challenges. This study delves into the perceptions and practices of Educational Sciences researchers regarding data sharing in Spain through a survey-based approach.The findings reveal a diversity in data management practices, with a tendency towards publication on academic platforms and a shared responsibility among team members, albeit with some centralization in the hands of the principal investigator. While the perception towards data sharing is generally positive, a substantial proportion of researchers still refrain from engaging in this practice, coupled with a lack of formal data management plans. These findings underscore the imperative to cultivate a culture of transparency, collaboration, and accountability in data management within the educational scientific community, addressing the barriers that hinder effective data sharing and management in educational research.
DOI: 10.5281/zenodo.11047294
title: Research data management and sharing in Educational Research

description: The burgeoning volume of data generated in scientific research remains largely untapped, constraining its potential to drive advancements. Openness and accessibility of data are paramount for scientific progress, fostering transparency, replicability, and reusability. Within the educational realm, the lack of data sharing and reuse presents significant challenges. This study delves into the perceptions and practices of Educational Sciences researchers regarding data sharing in Spain through a survey-based approach.The findings reveal a diversity in data management practices, with a tendency towards publication on academic platforms and a shared responsibility among team members, albeit with some centralization in the hands of the principal investigator. While the perception towards data sharing is generally positive, a substantial proportion of researchers still refrain from engaging in this practice, coupled with a lack of formal data management plans. These findings underscore the imperative to cultivate a culture of transparency, collaboration, and accountability in data management within the educational scientific community, addressing the barriers that hinder effective data sharing and management in educational research.
DOI: 10.5281/zenodo.11057352
title: Research data management and sharing in Educational Research

description: The burgeoning volume of data generated in scientific research remains largely untapped, constraining its potential to drive advancements. Openness and accessibility of data are paramount for scientific progress, fostering transparency, replicability, and reusability. Within the educational realm, the lack of data sharing and reuse presents significant challenges. This study delves into the perceptions and practices of Educational Sciences researchers regarding data sharing in Spain through a survey-based approach.The findings reveal a diversity in data management practices, with a tendency towards publication on academic platforms and a shared responsibility among team members, albeit with some centralization in the hands of the principal investigator. While the perception towards data sharing is generally positive, a substantial proportion of researchers still refrain from engaging in this practice, coupled with a lack of formal data management plans. These findings underscore the imperative to cultivate a culture of transparency, collaboration, and accountability in data management within the educational scientific community, addressing the barriers that hinder effective data sharing and management in educational research.
DOI: 10.5281/zenodo.12592210
title: Regional Moment Tensor Catalog (Declustered-Shallow Depth) for Northern Banda Arc Region-Indonesia (2009 to 2020) with Additional 3D Synthetic Data

description: This dataset is produced using an innovative automated procedure that enhances the accuracy and reliability of moment tensor solutions, as described in Halauwet et al. (2024). The dataset includes RMT solutions for the period from 2009 to 2020 in the Northern Banda Arc Region. Additionally, synthetic data, test results and setup files used in the testing and validation of this procedure are included.When using this data, please cite the following references:



Halauwet, Y., Afnimar, Triyoso, W., Vackář, J., Daryono, Supendi, P., Daniarsyad, G., Simanjuntak, A. V. H., Pranata, B., Narwadan, H. A. A. M., & Hakim, M. L., Regional moment tensor catalog (declustered-shallow depth) for northern Banda Arc region-Indonesia (2009 to 2020) with additional 3D synthetic data [Data set]. Zenodo, 2024;, https://doi.org/10.5281/zenodo.10212539

Halauwet, Y., Afnimar, Triyoso, W., Vackář, J., Daryono, Supendi, P., Daniarsyad, G., Simanjuntak, A. V. H., Pranata, B., Narwadan, H. A. A. M., & Hakim, M. L., A new automated procedure to obtain reliable moment tensor solutions of small to moderate earthquakes (3.0 ≤ M ≤ 5.5) in the Bayesian framework, Geophysical Journal International, 2024;, ggae309, https://doi.org/10.1093/gji/ggae309


Email: yehezkiel.halauwet@bmkg.go.id
DOI: 10.3886/icpsr24127.v3
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2001
title: Version 3

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2001. These data can be linked to the primary analysis file using the unique identifier variable SEQ_NUM. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: 
DS1: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2001
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2001.
DOI: 10.15468/dl.s5tz9j
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 "TaxonKey is Verticillium terrestre (Pers.) Sacc."
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002530-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ajzme
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.38684 18.73783,-67.30774 17.76961,-64.09094 17.60214,-64.09094 18.11244,-64.82043 18.10409,-64.81165 18.77112,-67.38684 18.73783))",
 "HasCoordinate is true",
 "TaxonKey is Morisonia americana L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001173-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7xprck
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tillandsia suescana L.B.Sm."
 ]
}

 The dataset includes 59 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016860-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zs0af
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Guatemala",
 "DatasetKey is IAC - Herbário do Instituto Agronômico de Campinas"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001173-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubtb6n
title: Occurrence Download

description: A dataset containing 617 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-34 34,-22 34,-22 42,-34 42,-34 34))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Megaptera novaeangliae (Borowski, 1781)",
 "Year 2012-2018"
 ]
}

 The dataset includes 617 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284360-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6prz88
title: Occurrence Download

description: A dataset containing 54192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "TaxonKey is Araceae"
 ]
}

 The dataset includes 54192 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027240-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u76jpx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudogonatodes gasconi Avila-Pires & Hoogmoed, 2000"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284346-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.962201
title: Tropical cyclone cold wake size dataset (AVHRR-only)

description: Mixing of the upper ocean by the wind field associated with tropical cyclones (TCs) creates observable cold wakes in sea surface temperature and may potentially influence ocean heat uptake. The relationship between cold wake size and storm size, however, has yet to be explored. Here we apply two objective methods to observed daily sea surface temperature data to quantify the size of TC-induced cold wakes. The obtained cold wake sizes agree well with the TC sizes estimated from the QuikSCAT-R wind field database with a correlation coefficient of 0.51 and 0.59, respectively. Furthermore, our new estimate of the total cooling that incorporates the variations in the cold wake size provides improved estimates of TC power dissipation and TC-induced ocean heat uptake. This study thus highlights the importance of cold wake size in evaluating the climatological effects of TCs.The cold wake size (rROI) dataset uploaded here is based on the daily NOAA 1/4° Optimum Interpolation Sea Surface Temperature, AVHRR-only subset (1981–2017). This is corresponding to the AVHRR+AMSR subset (2002-2011) uploaded to doi:10.1594/PANGAEA.907551. The objective cold wake size metrics (rROI) is derived based on an image processing methods -- the Region of Interest method. More information about the pretreatment and derivation of rROI please refer to Zhang et al. (2019).
DOI: 10.1594/pangaea.962212
title: Annotated record of the detailed examination of Mn deposits from MIDPAC-1 expedition with RV Sonne (SO18)

description: The dredges, free-fall grabs, cores and camera sled photographies described in this report were taken during the Midpac '81 expedition with RV Sonne (SO 18) in the Pacific Ocean.
description: From 1983 until 1989 NOAA-NCEI compiled the NOAA-MMS Marine Minerals Geochemical Database from journal articles, technical reports and unpublished sources from other institutions. At the time it was the most extended data compilation on ferromanganese deposits world wide. Initially published in a proprietary format incompatible with present day standards it was jointly decided by AWI and NOAA to transcribe this legacy data into PANGAEA. This transfer is augmented by a careful checking of the original sources when available and the encoding of ancillary information (sample description, method of analysis...) not present in the NOAA-MMS database.
DOI: 10.15468/dl.osmdhz
title: Occurrence Download

description: A dataset containing 321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Candidatus-Phytoplasma"
 ]
}

 The dataset includes 321 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001173-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.962231
title: ADCP current measurements (38 and 150 kHz) during THALASSA cruise THA-MSM40

description: Two Teledyne RDI Ocean Surveyor systems with 38 and 150 kHz transmission frequency were used. Data was processed with a software package developed at GEOMAR following the GO-SHIP standards (Firing and Hummon, 2010). The data was subsequently averaged over one minute intervals and converted to a NetCDF based format.
DOI: 10.15468/dl.7bp9bc
title: Occurrence Download

description: A dataset listing the 5788 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Proteobacteria"
 ]
}

 The dataset's 5788 records were derived from 828 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027271-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.962537
title: Sea ice cores photos from Fort Ridge during MOSAiC 2019/20

description: Photos of ice cores are provided with file names including event label, core label, section number, and photo number. They include 35 photos of two cores from the PS122-2_19-116 event and 28 photos of a core from the PS122-2_21-124 event.
DOI: 10.15468/dl.z5ybe8
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Micrurus nebularis Roze, 1989"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284380-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.963170
title: Master tracks in different resolutions of HEINCKE cruise HE624, Bremerhaven - Bremerhaven, 2023-06-27 - 2023-06-27

description: Raw data acquired by position sensors on board RV Heincke during expedition HE624 were processed to receive a validated master track which can be used as reference of further expedition data. During HE624 the inertial navigation system IXSEA PHINS III and the GPS receivers Trimble Marine SPS461 and SAAB R5 SUPREME NAV were used as navigation sensors. Data were downloaded from DAVIS SHIP data base (https://dship.awi.de) with a resolution of 1 sec. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.
description: This dataset contains the master track in 10 min resolution, for other resolutions please see "Other version" references.
DOI: 10.15468/dl.btxsfk
title: Occurrence Download

description: A dataset containing 5937 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iseilema Andersson"
 ]
}

 The dataset includes 5937 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049082-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.962542
title: Ice salinity measurements of Fort Ridge during MOSAiC 2019/20

description: Salinity data from sea ice samples taken during MOSAiC leg 2 (PS122/2). Sea ice samples were taken from Fort Ridge and surrounding undeformed first-year ice (FYI). Sea ice cores were extracted using a 9 cm inner diameter ice corer (Kovacs Enterprise Mark II coring system) powered by a cordless electric drill. Salinity ice cores were stored in sterile U-Lines bags and transported back to the ship within 2 hours of sampling. Ice cores were stored in a -20°C walk-in freezer until processing. The ice cores were cut into sections of various lengths using a stainless steel, electric butcher band saw. The samples were placed in plastic cups with lids and melted at room temperature. Bulk salinity was measured on the melted water sample using a calibrated YSI 30 conductivity meter (practical salinity scale, unitless).The table contains the event label (1), time (2), and global coordinates (3,4) of each coring measurement. Each separate core has its local coordinates X (5) in [m] across the corresponding ridge transect (6). For each drill hole, the depth relative to the waterline of the top (7) and bottom (8) interface of each separate layer is given together with its salinity (9), isotope composition ID (10), and nutrient ID (11). The ice type (11) includes first-year ice (FYI), ridge, and ridge (water-filled) void. Each core has also measurements of the total ice thickness (12), ice draft (13), snow depth (14), and additional information on sampling (16). Photos of ice cores are additionally provided: doi:10.1594/PANGAEA.962537. Ice mass balance buoy SIMBA 2020T60 was installed at the Fort Ridge: doi:10.1594/PANGAEA.924269. Ridge thickness drilling was performed at Fort Ridge: doi:10.1594/PANGAEA.960347.
DOI: 10.15468/dl.nje8hq
title: Occurrence Download

description: A dataset containing 9147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bombus auricomus (Robertson, 1903)"
 ]
}

 The dataset includes 9147 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012177-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y7swcf
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pristimantis caprifer (Lynch, 1977)"
 ]
}

 The dataset includes 89 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299397-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.962551
title: Master tracks in different resolutions of POLARSTERN cruise PS136, Bremerhaven - Tromsø, 2023-05-22 - 2023-06-19

description: This dataset contains the master track in 10 min resolution, for other resolutions please see "Other version" references.
DOI: 10.15468/dl.6gzu0c
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hemispingus frontalis (Tschudi, 1844)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 531 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018615-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ygfuux
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Entodon luridus (Griff.) A.Jaeger",
 "Year 1970-2023"
 ]
}

 The dataset includes 29 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015398-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfwnw2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vernonia dewildemaniana Muschl."
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028887-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.