cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/gatp
title: Spatial Distribution of Near-surface Air Temperature in the Glacierized Areas of the Tibetan Plateau

description: Project: Heat Island Intensity Prediction in an Intelligent Sponge Urban System in the Qinghai-Tibet Plateau - This project investigates how intelligent sponge city technologies can mitigate urban heat islands (UHI) in the Qinghai-Tibet Plateau. It aims to develop scalable models for climate-resilient urban planning in high-altitude regions through a series of targeted experiments.
Supported by grant LJ200080773 ('Intelligent Urban Rainwater Collection Module System Application'), this project develops a machine learning framework for urban heat island (UHI) prediction in sponge cities. The framework integrates thermal infrared remote sensing and meteorological data to jointly analyze UHI intensity and rainwater storage capacity, supporting ecological runoff management and heat mitigation strategies.
Summary: This dataset contains spatial distribution of near-surface air temperature in the glacierized areas of the Tibetan Plateau, which has been processed using meteorological observation data, thermal infrared remote sensing data and glacier boundaries from China's Second Glacier Inventory. The data covers a high-altitude area of the Qinghai-Tibet Plateau for seven glacier regions (Guliya, Aru, Naimona'nyi, Gagze, Dunde, Parlung, and XiaodongKemadi), with a spatial resolution of 30 meters, spanning elevations of 3,924-6,078 m and temperatures of -42°C to +21°C. The original temperature data were obtained from multiple sources, including thermal infrared remote sensing data from Landsat 8 (L8) and Landsat 9 (L9) Collection 2 (C2) Level 2 (L2) products, as well as ground station measurements from National Tibetan Plateau/Third Pole Environment Data Center. Missing values were reconstructed through masked nearest-neighbor interpolation, followed by spatial smoothing to minimize residual inaccuracies during the temperature field updating process. This approach (gap-filling, bias-correction, smoothing) ensured robust spatialization of near-surface air temperature data. Technical validations are detailed in Accuracy and Completeness Reports. The dataset provides temperature distributions for glacier-covered areas of the Qinghai-Tibet Plateau. This dataset is suitable for climate research, environmental monitoring, and cryosphere.

The experiment's temporal coverage is discontinuous; the eight datasets have different time ranges. The temporal coverage includes Southeastern data (2023-01 to 2023-03), Xiaodongkemadi data (2012-05 to 2015-08), and Aru, Dagze, Dunde, Guliya, Naimona'nyi, and Parlung data (all from 2019-01, with end dates ranging from 2019-10 to 2019-11).
Southeastern data: 2023-01 to 2023-03
Xiaodongkemadi data: 2012-05 to 2015-08
Aru data: 2019-01 to 2019-10
Dagze data: 2019-01 to 2019-10
Dunde data: 2019-01 to 2019-11
Guliya data: 2019-01 to 2019-10
Naimona'nyi data: 2019-01 to 2019-10
Parlung data: 2019-01 to 2019-10
DOI: 10.15468/dl.kyz9hu
title: Occurrence Download

description: A dataset containing 890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amorpha fruticosa L.",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 890 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080300-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34847/nkl.5ea3mofl
title: AGRINION - Blocco con iscrizione onorifica
title: Agrinion 53

description: buono
description: numero di inventario
description: Source: Socal, Michela
description: Provenance: 1.0
description: Provenance: Dorsoduro 3484/D Venezia
description: Provenance: Italia
description: Provenance: Università Ca' Foscari
description: Provenance: Venezia
description: Provenance: primo piano
description: Provenance: 2.0
description: created: 1981-1985
DOI: 10.17026/ar/h6b0od
title: Plangebied Burgerdijkseweg 16 te De Lier, gemeente Westland.
title: Archeologisch vooronderzoek: een bureauonderzoek en inventariserend veldonderzoek (verkennend booronderzoek).
title: RAAP RAPPORT 7248

description: &lt;/p&gt;
In opdracht van Familie Noordam heeft RAAP in de periode mei -juni 2024 een archeologisch vooronderzoek in de vorm van een bureauonderzoek uitgevoerd voor het plangebied Burgerdijkseweg 16 te De Lier in de gemeente Westland (figuur 1).
&lt;/p&gt;&lt;/p&gt;
Het onderzoek vond plaats in het kader van een omgevingsvergunning ten behoeve van de bouw van twee woningen.
&lt;/p&gt;&lt;/p&gt;
Op grond van de onderzoeksresultaten en onder verwijzing naar de doelstellingen, kunnen de volgende uitspraken worden gedaan:
&lt;/p&gt;&lt;/p&gt;
• Op basis van de resultaten van het bureauonderzoek gold er een middelhoge verwachting voor de periode ijzertijd – Romeinse tijd en late middeleeuwen – nieuwe tijd.
&lt;/p&gt;&lt;/p&gt;
• Tijdens het booronderzoek zijn geen lagen aangetroffen die duiden op een archeologisch niveau. De aangetroffen kreekoevers en kwelders waren overwegend kalkrijk of lijken op enige afstand van de kreek te zijn gevormd om een geschikte woonlocatie te zijn geweest.
&lt;/p&gt;&lt;/p&gt;
• De verwachte huisterp is tijdens het onderzoek niet aangetroffen. Het gaat hier
hoogstwaarschijnlijk om een recente ophoging. De ophoging heeft vermoedelijk in de jaren 80 van de vorige eeuw plaatsgevonden ten behoeve van de bouw van de voormalige kippenschuur. Hierdoor is de middelhoge verwachting naar laag bijgesteld.
&lt;/p&gt;&lt;/p&gt;
Op basis van de resultaten van dit onderzoek blijkt dat in het plangebied geen archeologische resten bedreigd worden aangezien geen aanwijzingen voor de terp zijn aangetroffen. Daarom wordt in het kader van de voorgenomen bodemingrepen geen vervolgstap uit het proces van de Archeologische
Monumentenzorg (AMZ) noodzakelijk geacht.
&lt;/p&gt;&lt;/p&gt;
Dit rapport geeft (selectie)adviezen. Het is aan de bevoegde overheid, de gemeente Westland, deze al dan niet over te nemen in de vorm van een (selectie)besluit.
&lt;/p&gt;
DOI: 10.34810/data340
title: PANACEA Spanish V-SUBCAT Gold Standard lexicon ENV domain

description: This is a domain-specific gold-standard for Spanish subcategorization frames, in the case, for environment (ENV) domain. This gold-standard was manually developed, choosing a set of 30 verbs and 200 senteces for each verb. For each sentence, the SCFs present for the studied verb were manually annotated. The sentences were selected from crawled Web pages that were automatically detected to be in the Spanish language and were automatically classified as relevant to the ENV domain. Data collection took place in the summer of 2011. This gold-standard was created in the context of PANACEA (http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064.
DOI: 10.57967/hf/5893
title: pat_df_all
DOI: 10.15468/dl.assgjt
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amorpha fruticosa L.",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 103 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080304-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfp4qu
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amorpha fruticosa L.",
 "Country is Serbia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 81 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080303-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rr25gc
title: Occurrence Download

description: A dataset containing 449113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 449113 records from 2572 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080278-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/icpsr33527.v1
title: Uniform Crime Reporting Program Data: Supplementary Homicide Reports, 2010
title: Version 1

description: The UNIFORM CRIME REPORTING PROGRAM DATA: SUPPLEMENTARY HOMICIDE REPORTS, 2010 (SHR) provide detailed information on criminal homicides reported to the police. These homicides consist of murders; non-negligent killings also called non-negligent manslaughter; and justifiable homicides. UCR Program contributors compile and submit their crime data by one of two means: either directly to the FBI or through their State UCR Programs. State UCR Programs frequently impose mandatory reporting requirements which have been effective in increasing both the number of reporting agencies as well as the number and accuracy of each participating agency's reports. Each agency may be identified by its numeric state code, alpha-numeric agency ("ORI") code, jurisdiction population, and population group. In addition, each homicide incident is identified by month of occurrence and situation type, allowing flexibility in creating aggregations and subsets.
description: Datasets: 
DS1: Uniform Crime Reporting Program Data: Supplementary Homicide Reports, 2010
description: Homicide incidents reported by law enforcement agencies in the United States.
description: mail questionnaireStarting with the year 1998, each of the four parts of the UCR data collection archived by ICPSR is released as a separate study under its own study number. The Supplementary Homicide Reports data for the years 1975-1997 can be found in UNIFORM CRIME REPORTING PROGRAM DATA: 1975-1997 (ICPSR 9028).This data collection was produced by the United States Department of Justice, Federal Bureau of Investigation.The unit of analysis in this dataset is the homicide "incident" as defined by the Uniform Crime Reporting (UCR) Program. Thus, information on the victim(s), the offender(s), the relationship between these individuals, the weapons used, and the circumstances surrounding the homicide are provided by incident. Up to eleven offenders can be involved in an incident. The Uniform Crime Reporting Program (UCR) is a data collection effort designed to provide an overall view of crime in the United States. Data for the UCR have been gathered by the Federal Bureau of Investigation (FBI) since 1930. The data are compiled from law enforcement agencies on a monthly basis. UCR data housed at the Inter-university Consortium for Political and Social Research (ICPSR) include: OFFENSES KNOWN AND CLEARANCES BY ARREST (also know as RETURN A), PROPERTY STOLEN AND RECOVERED (also known as SUPPLEMENT TO RETURN A), SUPPLEMENTARY HOMICIDE REPORTS (SHR), and POLICE EMPLOYEE (LEOKA) DATA. The UCR data for 1975-1997 are archived under ICPSR study number 9028. Starting with the 1998 UCR data each of the main data files comprising the UCR has been given its own ICPSR study number. New study numbers will be issued each year for OFFENSES KNOWN AND CLEARANCES BY ARREST, PROPERTY STOLEN AND RECOVERED, SUPPLEMENTAL HOMICIDE REPORTS, and POLICE EMPLOYEE (LEOKA) DATA. Each UCR data file, regardless of study number, has its own documentation specific to it.
DOI: 10.15468/dl.9kkaxd
title: Occurrence Download

description: A dataset containing 76145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pelophylax lessonae (Camerano, 1882))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76145 records from 595 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003959-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed9ug6
title: Occurrence Download

description: A dataset containing 521069 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pavo cristatus Linnaeus, 1758)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 521069 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003958-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15009790
title: Global Insulated Gate Bipolar Transistors Market 2024 To 2033

description: Insulated Gate Bipolar Transistors Market Size, Trends and Insights By Type (Discrete IGBT, Modular IGBT), By Application (Consumer Electronics, Industrial Equipment, Renewable Energy, Automotive, Others), By Power Rating (Low Power (Below 300V), Medium Power (300V-1.7kV), High Power (Above 1.7kV)), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Insulated Gate Bipolar Transistors Market is expected to record a CAGR of 7.6% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 8.1 Billion. By 2033, the valuation is anticipated to reach USD 15.8 Billion.

The Insulated Gate Bipolar Transistors market is a dynamic sector witnessing robust growth driven by its pivotal role in power electronics. IGBTs facilitate efficient control and conversion of electrical power across applications such as automotive, industrial machinery, renewable energy systems, and consumer electronics.

Technological advancements, including the integration of advanced materials, contribute to enhanced performance. The market’s trajectory is further propelled by the surge in electric vehicle adoption, the push for energy-efficient solutions, and the global emphasis on renewable energy, underscoring IGBTs’ significance in modern power management and conversion applications.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=43473
DOI: 10.5281/zenodo.15009791
title: Global Insulated Gate Bipolar Transistors Market 2024 To 2033

description: Insulated Gate Bipolar Transistors Market Size, Trends and Insights By Type (Discrete IGBT, Modular IGBT), By Application (Consumer Electronics, Industrial Equipment, Renewable Energy, Automotive, Others), By Power Rating (Low Power (Below 300V), Medium Power (300V-1.7kV), High Power (Above 1.7kV)), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

As per the current market research conducted by the CMI Team, the global Insulated Gate Bipolar Transistors Market is expected to record a CAGR of 7.6% from 2024 to 2033. In 2024, the market size is projected to reach a valuation of USD 8.1 Billion. By 2033, the valuation is anticipated to reach USD 15.8 Billion.

The Insulated Gate Bipolar Transistors market is a dynamic sector witnessing robust growth driven by its pivotal role in power electronics. IGBTs facilitate efficient control and conversion of electrical power across applications such as automotive, industrial machinery, renewable energy systems, and consumer electronics.

Technological advancements, including the integration of advanced materials, contribute to enhanced performance. The market’s trajectory is further propelled by the surge in electric vehicle adoption, the push for energy-efficient solutions, and the global emphasis on renewable energy, underscoring IGBTs’ significance in modern power management and conversion applications.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=43473
DOI: 10.15468/dl.vj7cps
title: Occurrence Download

description: A dataset containing 2047473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stellaria L."
 ]
}

 The dataset includes 2047473 records from 4095 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003939-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10905672
title: Hacker News Cumulative Data
DOI: 10.60712/si-id1.2
title: StrainInfo SI-ID 1.2

description: StrainInfo dataset 1 about a strain of Acetobacter cerevisiae. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id2.2
title: StrainInfo SI-ID 2.2

description: StrainInfo dataset 2 about a strain of Acetobacter malorum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id3.2
title: StrainInfo SI-ID 3.2

description: StrainInfo dataset 3 about a strain of Acetobacter malorum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id4.2
title: StrainInfo SI-ID 4.2

description: StrainInfo dataset 4 about a strain of Acetobacter fabarum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id5.3
title: StrainInfo SI-ID 5.3

description: StrainInfo dataset 5 about a strain of Acetobacter malorum. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id6.2
title: StrainInfo SI-ID 6.2

description: StrainInfo dataset 6 about a strain of Acetobacter tropicalis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id7.2
title: StrainInfo SI-ID 7.2

description: StrainInfo dataset 7 about a strain of Acetobacter pasteurianus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id8.2
title: StrainInfo SI-ID 8.2

description: StrainInfo dataset 8 about a strain of Acetobacter pasteurianus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id9.2
title: StrainInfo SI-ID 9.2

description: StrainInfo dataset 9 about a strain of Acetobacter pasteurianus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id10.2
title: StrainInfo SI-ID 10.2

description: StrainInfo dataset 10 about a strain of Komagataeibacter europaeus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id11.2
title: StrainInfo SI-ID 11.2

description: StrainInfo dataset 11 about a strain of Bombella apis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id13.1
title: StrainInfo SI-ID 13.1

description: StrainInfo dataset 13 about a strain of Talaromyces. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id14.2
title: StrainInfo SI-ID 14.2

description: StrainInfo dataset 14 about a strain of a not identified species. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id15.1
title: StrainInfo SI-ID 15.1

description: StrainInfo dataset 15 about a strain of Rhizoctonia solani. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id16.2
title: StrainInfo SI-ID 16.2

description: StrainInfo dataset 16 about a strain of Acetobacter aceti. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id17.2
title: StrainInfo SI-ID 17.2

description: StrainInfo dataset 17 about a strain of Acetobacter aceti. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id18.2
title: StrainInfo SI-ID 18.2

description: StrainInfo dataset 18 about a strain of Acetobacter. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id19.2
title: StrainInfo SI-ID 19.2

description: StrainInfo dataset 19 about a strain of Acetobacter. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id20.2
title: StrainInfo SI-ID 20.2

description: StrainInfo dataset 20 about a strain of Acetobacter aceti. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id21.2
title: StrainInfo SI-ID 21.2

description: StrainInfo dataset 21 about a strain of Acetobacter pasteurianus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id22.2
title: StrainInfo SI-ID 22.2

description: StrainInfo dataset 22 about a strain of Acetobacter pasteurianus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id23.2
title: StrainInfo SI-ID 23.2

description: StrainInfo dataset 23 about a strain of Acetobacter. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id24.2
title: StrainInfo SI-ID 24.2

description: StrainInfo dataset 24 about a strain of Acetobacter pasteurianus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.
DOI: 10.60712/si-id25.2
title: StrainInfo SI-ID 25.2

description: StrainInfo dataset 25 about a strain of Acetobacter pasteurianus. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and culture-associated data.