cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gfr13z
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laelia aurea A.V.Navarro"
 ]
}

 The dataset includes 8 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001157-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.920682
title: Pre-stack depth and time migrated ocean bottom hydrophone data of the young Juan de Fuca Plate during SONNE cruise SO111

description: The provided data are pre-stack depth (psdm) and pre-stack time (pstm) migrated Ocean Bottom Hydrophone datasets for the lines RFR96-01, RFR96-03, RFR96-05, and RFR96-08. In addition to seismic data, the picks of the shallowest and deepest events are provided.
DOI: 10.15468/dl.xp4sq8
title: Occurrence Download

description: A dataset containing 208888 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myioborus miniatus (Swainson, 1827)"
 ]
}

 The dataset includes 208888 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230914-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j7nz2v
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lumbricillus kaloensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 111 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040374-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9dg5y
title: Occurrence Download

description: A dataset containing 12194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Living Specimen)",
 "Country is one of (Angola, Bangladesh, Benin, Botswana, Burkina Faso, Burundi, Cambodia, Cameroon, Central African Republic, Chad, Congo, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, India, Kenya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Namibia, Nepal, Niger, Nigeria, Pakistan, Philippines, Rwanda, Senegal, Sierra Leone, Tanzania, United Republic of, Thailand, Togo, Uganda, Australia, Yemen, Zambia, Zimbabwe)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bauhinia"
 ]
}

 The dataset includes 12194 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040377-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ackjqe
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.634 0.814184, 99.56373000000001 0.808617, 99.49519100000001 0.7920509999999999, 99.43007 0.764896, 99.369972 0.72782, 99.316377 0.681735, 99.27060299999999 0.6277779999999999, 99.233779 0.567277, 99.20681 0.501721, 99.19036 0.432726, 99.184833 0.361989, 99.19036699999999 0.291253, 99.206823 0.222258, 99.233797 0.156705, 99.270625 0.096207, 99.316399 0.042253, 99.36999400000001 -0.003828, 99.430088 -0.040901, 99.495204 -0.068054, 99.563737 -0.084618, 99.634 -0.090185, 99.704263 -0.084618, 99.772796 -0.068054, 99.837912 -0.040901, 99.898006 -0.003828, 99.951601 0.042253, 99.99737500000001 0.096207, 100.034203 0.156705, 100.061177 0.222258, 100.077633 0.291253, 100.083167 0.361989, 100.07764 0.432726, 100.06119 0.501721, 100.034221 0.567277, 99.99739700000001 0.6277779999999999, 99.951623 0.681735, 99.898028 0.72782, 99.83793 0.764896, 99.772809 0.7920509999999999, 99.70426999999999 0.808617, 99.634 0.814184))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040378-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/hnvriq
title: PAN-00171963 - wall fragment (Roman smooth ware pottery)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00171963&lt;/p&gt;
description: Modified: 2025-10-21T16:19:17+02:00
DOI: 10.15468/dl.n6qgvv
title: Occurrence Download

description: A dataset listing the 4133536 species recorded in GBIF matching the query:
{
 "OccurrenceStatus" : [
 "is Present"
 ]
}

 The dataset's 4133536 records were derived from 87647 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040356-251120083545085/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.28713016
title: From parents to their adolescent children: reexamining the link between parental and adolescent internet addiction

description: This study explores the complex relationship between parental behaviours and adolescent problematic internet use (PIU), contributing to a growing understanding of how family dynamics influence digital habits in children. Using a sample of 236 Arab parents, we investigated the impact of parental PIU, the frequency of parental monitoring, and serious arguments about internet use on adolescent PIU. The findings demonstrated significant associations between parental and adolescent PIU levels, highlighting shared patterns in specific symptoms. Regression analysis identified parental PIU and frequent serious arguments as significant predictors of adolescent PIU, indicating the heightened risk among adolescents with PIU-affected parents. Additionally, the study uncovered a partial mediation effect, with the frequency of serious arguments serving as a pathway linking parental and adolescent PIU. By examining these relationships within a culturally distinct context, the research broadens the scope of PIU studies beyond western populations, offering new insights into underexplored Arab families. The results indicate the importance of family-centered intervention strategies, including positive parental role modelling and promoting constructive discussions about internet use. These findings have practical implications for developing culturally sensitive programmes aimed at mitigating adolescent PIU through improved family dynamics and healthy digital practices.
DOI: 10.6084/m9.figshare.28713016.v2
title: From parents to their adolescent children: reexamining the link between parental and adolescent internet addiction

description: This study explores the complex relationship between parental behaviours and adolescent problematic internet use (PIU), contributing to a growing understanding of how family dynamics influence digital habits in children. Using a sample of 236 Arab parents, we investigated the impact of parental PIU, the frequency of parental monitoring, and serious arguments about internet use on adolescent PIU. The findings demonstrated significant associations between parental and adolescent PIU levels, highlighting shared patterns in specific symptoms. Regression analysis identified parental PIU and frequent serious arguments as significant predictors of adolescent PIU, indicating the heightened risk among adolescents with PIU-affected parents. Additionally, the study uncovered a partial mediation effect, with the frequency of serious arguments serving as a pathway linking parental and adolescent PIU. By examining these relationships within a culturally distinct context, the research broadens the scope of PIU studies beyond western populations, offering new insights into underexplored Arab families. The results indicate the importance of family-centered intervention strategies, including positive parental role modelling and promoting constructive discussions about internet use. These findings have practical implications for developing culturally sensitive programmes aimed at mitigating adolescent PIU through improved family dynamics and healthy digital practices.
DOI: 10.6084/m9.figshare.28713016.v1
title: From parents to their adolescent children: reexamining the link between parental and adolescent internet addiction

description: This study explores the complex relationship between parental behaviours and adolescent problematic internet use (PIU), contributing to a growing understanding of how family dynamics influence digital habits in children. Using a sample of 236 Arab parents, we investigated the impact of parental PIU, the frequency of parental monitoring, and serious arguments about internet use on adolescent PIU. The findings demonstrated significant associations between parental and adolescent PIU levels, highlighting shared patterns in specific symptoms. Regression analysis identified parental PIU and frequent serious arguments as significant predictors of adolescent PIU, indicating the heightened risk among adolescents with PIU-affected parents. Additionally, the study uncovered a partial mediation effect, with the frequency of serious arguments serving as a pathway linking parental and adolescent PIU. By examining these relationships within a culturally distinct context, the research broadens the scope of PIU studies beyond western populations, offering new insights into underexplored Arab families. The results indicate the importance of family-centered intervention strategies, including positive parental role modelling and promoting constructive discussions about internet use. These findings have practical implications for developing culturally sensitive programmes aimed at mitigating adolescent PIU through improved family dynamics and healthy digital practices.
DOI: 10.6084/m9.figshare.30833894
title: Tectonic response of the Qaidam Block to Paleo-Tethys Oceanic subduction and the origin of the Songpan–Ganzi remnant oceanic basin

description: supporting information subbitted to GRL
DOI: 10.6084/m9.figshare.30833894.v1
title: Tectonic response of the Qaidam Block to Paleo-Tethys Oceanic subduction and the origin of the Songpan–Ganzi remnant oceanic basin

description: supporting information subbitted to GRL
DOI: 10.5281/zenodo.17206892
title: Detecting Electricity Theft with a Dual-Meter IoT System That Tracks Real-Time Energy Discrepancies

description: Abstract— Electricity theft (a form of non-technical loss) is a pervasive global problem causing substantial financial and operational challenges for utilities. Current estimates place global non-technical losses from energy theft at on the order of $80–100 billion annually, with some utilities losing over 10% of delivered energy. These losses force higher tariffs, reduce investment in infrastructure, and even trigger load shedding in affected regions. In this work, we propose a novel IoT-enabled theft detection and control system that continuously monitors customer usage and flags anomalies in real time. The system uses low-cost microcontrollers (e.g. 32-bit ARM or AVR) equipped with current and voltage sensors to measure both supply line parameters and meter-reported consumption. Readings are streamed via GSM/Wi-Fi to a cloud server (e.g. ThingSpeak or MQTT broker) for analytics. A simple rule-based algorithm compares the two data streams: if the measured usage and metered usage diverge by more than a preset threshold (e.g. 5–10% of nominal load), the system logs an alarm, notifies the utility via SMS/e-mail, and (optionally) trips a relay to isolate the load. In prototype testing, this architecture achieved approximately 95% theft-detection accuracy with a false alarm rate below 5%. It reliably detected unauthorized draws as small as ~10 W (≈5% of typical household load) and identified energy discrepancies of ~5–10 kWh per day. We estimate that such a system could reduce a utility’s billing losses by roughly 10–15% (on the order of hundreds of kWh per meter per year), translating to hundreds of dollars saved per year in high-theft areas. The hardware cost of a unit is on the order of US$30–$50 (for microcontroller, sensors, and comms), enabling widespread deployment. In summary, our key contributions are (1) an integrated IoT-cloud-control architecture for simultaneous detection of meter tampering and illegal hookups; (2) an embedded proof-of-concept implementation demonstrating real-time analytics and remote actuation; and (3) quantitative evaluation showing high detection accuracy (~95%) and concrete savings potential. The proposed system advances the state of the art by providing a unified, low-cost platform for automated energy-theft mitigation with demonstrated performance.
DOI: 10.5281/zenodo.17206893
title: Detecting Electricity Theft with a Dual-Meter IoT System That Tracks Real-Time Energy Discrepancies

description: Abstract— Electricity theft (a form of non-technical loss) is a pervasive global problem causing substantial financial and operational challenges for utilities. Current estimates place global non-technical losses from energy theft at on the order of $80–100 billion annually, with some utilities losing over 10% of delivered energy. These losses force higher tariffs, reduce investment in infrastructure, and even trigger load shedding in affected regions. In this work, we propose a novel IoT-enabled theft detection and control system that continuously monitors customer usage and flags anomalies in real time. The system uses low-cost microcontrollers (e.g. 32-bit ARM or AVR) equipped with current and voltage sensors to measure both supply line parameters and meter-reported consumption. Readings are streamed via GSM/Wi-Fi to a cloud server (e.g. ThingSpeak or MQTT broker) for analytics. A simple rule-based algorithm compares the two data streams: if the measured usage and metered usage diverge by more than a preset threshold (e.g. 5–10% of nominal load), the system logs an alarm, notifies the utility via SMS/e-mail, and (optionally) trips a relay to isolate the load. In prototype testing, this architecture achieved approximately 95% theft-detection accuracy with a false alarm rate below 5%. It reliably detected unauthorized draws as small as ~10 W (≈5% of typical household load) and identified energy discrepancies of ~5–10 kWh per day. We estimate that such a system could reduce a utility’s billing losses by roughly 10–15% (on the order of hundreds of kWh per meter per year), translating to hundreds of dollars saved per year in high-theft areas. The hardware cost of a unit is on the order of US$30–$50 (for microcontroller, sensors, and comms), enabling widespread deployment. In summary, our key contributions are (1) an integrated IoT-cloud-control architecture for simultaneous detection of meter tampering and illegal hookups; (2) an embedded proof-of-concept implementation demonstrating real-time analytics and remote actuation; and (3) quantitative evaluation showing high detection accuracy (~95%) and concrete savings potential. The proposed system advances the state of the art by providing a unified, low-cost platform for automated energy-theft mitigation with demonstrated performance.
DOI: 10.15468/dl.ms5mfr
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lumbricillus knoellneri",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 36 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040379-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15879991
title: Dataset related to article "Very-low-field MRI scanners: from the ideal to the real permanent magnet array"

description: Dataset related to simulations described in article:



Very-low-field MRI scanners: from the ideal to the real permanent magnet array.

IEEE Transactions on Instrumentation and Measurement

Print ISSN: 0018-9456Online ISSN: 1557-9662Digital Object Identifier: 10.1109/TIM.2025.3638912
DOI: 10.5281/zenodo.15879992
title: Dataset related to article "Very-low-field MRI scanners: from the ideal to the real permanent magnet array"

description: Dataset related to simulations described in article:



Very-low-field MRI scanners: from the ideal to the real permanent magnet array.

IEEE Transactions on Instrumentation and Measurement

Print ISSN: 0018-9456Online ISSN: 1557-9662Digital Object Identifier: 10.1109/TIM.2025.3638912
DOI: 10.15468/dl.m65fhs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((99.30800000000001 0.819184, 99.23773 0.813617, 99.169191 0.797051, 99.10406999999999 0.769896, 99.043972 0.73282, 98.990377 0.686735, 98.944603 0.632778, 98.907779 0.572277, 98.88081 0.506721, 98.86435899999999 0.437725, 98.858833 0.366989, 98.864366 0.296252, 98.88082300000001 0.227258, 98.907797 0.161705, 98.944625 0.101207, 98.990399 0.047253, 99.043994 0.001172, 99.104088 -0.035901, 99.16920399999999 -0.063054, 99.237737 -0.07961799999999999, 99.30800000000001 -0.085185, 99.378263 -0.07961799999999999, 99.44679600000001 -0.063054, 99.511912 -0.035901, 99.572006 0.001172, 99.625601 0.047253, 99.671375 0.101207, 99.708203 0.161705, 99.73517699999999 0.227258, 99.751634 0.296252, 99.757167 0.366989, 99.75164100000001 0.437725, 99.73519 0.506721, 99.70822099999999 0.572277, 99.671397 0.632778, 99.625623 0.686735, 99.572028 0.73282, 99.51193000000001 0.769896, 99.446809 0.797051, 99.37827 0.813617, 99.30800000000001 0.819184))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040380-251120083545085/datasets/export for details.
DOI: 10.17026/ar/p4cefu
title: PAN-00163947 - terra sigillata kom type Drag. 37 (EG)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00163947&lt;/p&gt;
description: Modified: 2025-10-18T16:40:15+02:00
DOI: 10.5281/zenodo.17865095
title: Accelign benchmark data
DOI: 10.5281/zenodo.17865094
title: Accelign benchmark data
DOI: 10.5281/zenodo.17866103
title: Kuibyshev Reservoir Processed flux maps (GeoTIFF format, 10-m resolution)

description: Data on the assessment of emissions/fluxes of major greenhouse gases from the shallow water area (up to 3 m) of the Kuibyshev Reservoir, obtained based on Sentinel-2 data for 2025 (non-ice period). The methodology and source code are available on GitHub: https://github.com/noaakwey/shallow-water-ghg

 

CO2_Annual_Fluxes_Rate_umol_s-*:

Number of band:    3




Number    
Band


1
Reco_annual_rate


2
GPP_annual_rate


3
NEE_annual_rate




CH4_Annual_Fluxes-*:

Number of band:    2




Number    
Band


1
CH4_annual_g_m2


2
CH4_CO2eq_g_m2
DOI: 10.5281/zenodo.17866104
title: Kuibyshev Reservoir Processed flux maps (GeoTIFF format, 10-m resolution)

description: Data on the assessment of emissions/fluxes of major greenhouse gases from the shallow water area (up to 3 m) of the Kuibyshev Reservoir, obtained based on Sentinel-2 data for 2025 (non-ice period). The methodology and source code are available on GitHub: https://github.com/noaakwey/shallow-water-ghg

 

CO2_Annual_Fluxes_Rate_umol_s-*:

Number of band:    3




Number    
Band


1
Reco_annual_rate


2
GPP_annual_rate


3
NEE_annual_rate




CH4_Annual_Fluxes-*:

Number of band:    2




Number    
Band


1
CH4_annual_g_m2


2
CH4_CO2eq_g_m2
DOI: 10.6084/m9.figshare.30833903
title: rRNAs and tRNAs of <i>S. californicus</i> ADR1

description: <b>Complete genome sequence of </b><b><i>Streptomyces californicus</i></b><b> ADR1 isolated from </b><b><i>Datura metel</i></b>
DOI: 10.6084/m9.figshare.30833903.v1
title: rRNAs and tRNAs of <i>S. californicus</i> ADR1

description: <b>Complete genome sequence of </b><b><i>Streptomyces californicus</i></b><b> ADR1 isolated from </b><b><i>Datura metel</i></b>
DOI: 10.25574/26574
title: Chandra X-ray Observatory ObsId 26574

description: A Test to Establish that SS 433 is an Ultraluminous X-ray Source
DOI: 10.5281/zenodo.17656611
title: Toward Purely Unsupervised Label-Free EEG-Based Imagined Speech Synthesis: A Review
DOI: 10.5281/zenodo.17656610
title: Toward Purely Unsupervised Label-Free EEG-Based Imagined Speech Synthesis: A Review
DOI: 10.6084/m9.figshare.30833924
title: QM9

description: QM9 dataset preprocessed by EPT
DOI: 10.6084/m9.figshare.30833924.v1
title: QM9

description: QM9 dataset preprocessed by EPT
DOI: 10.15468/dl.r3x4nm
title: Occurrence Download

description: A dataset containing 1176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lumbricillus lineatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1176 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040381-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/pcwyub
title: PAN-00181463 - oracle rod type 2a

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00181463&lt;/p&gt;
description: Modified: 2025-10-24T13:35:38+02:00