cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10946720
title: ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (2005_335-349)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE surface longwave upward radiation (SLUR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016).

 

This is the ELITE SLUR product in 2005 (DOY: 335-349). Please click here to download the ELITE SLUR product in 2005 (DOY: 350-365).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2005-12-01 ~ 2005-12-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


 

Citation (Please cite these papers when using the data):



Cheng, J., & Liang, S. (2016). Global estimates for high spatial resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 54, 4115-4129.
DOI: 10.5281/zenodo.10946721
title: ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (2005_335-349)

description: The Essential thermal Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

 

This dataset is ELITE surface longwave upward radiation (SLUR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016).

 

This is the ELITE SLUR product in 2005 (DOY: 335-349). Please click here to download the ELITE SLUR product in 2005 (DOY: 350-365).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2005-12-01 ~ 2005-12-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


 

Citation (Please cite these papers when using the data):



Cheng, J., & Liang, S. (2016). Global estimates for high spatial resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 54, 4115-4129.
DOI: 10.15468/dl.as3wy9
title: Occurrence Download

description: A dataset containing 207976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Occurrence records of southern African aquatic biodiversity"
 ]
}

 The dataset includes 207976 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0140005-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjquc4
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Homocodon brevipes (Hemsl.) D.Y.Hong"
 ]
}

 The dataset includes 79 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027750-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vksu65
title: Occurrence Download

description: A dataset containing 356362 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Dryocopus martius (Linnaeus, 1758)"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 356362 records from 294 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012729-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92rwvf
title: Occurrence Download

description: A dataset containing 13274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helianthus annuus L.",
 "Country is one of (United States of America, Canada)",
 "Year is greater than or equal to 1979"
 ]
}

 The dataset includes 13274 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0143083-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yz5fdd
title: Occurrence Download

description: A dataset containing 30131 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry MULTIPOLYGON(((-100.38664 25.61415,-100.3707 25.60651,-100.36824 25.60395,-100.36287 25.60032,-100.35886 25.59905,-100.34787 25.59215,-100.34516 25.59013,-100.34031 25.5854,-100.33862 25.58455,-100.33244 25.57977,-100.33078 25.57902,-100.32901 25.57669,-100.32715 25.58327,-100.3265 25.58773,-100.32472 25.59065,-100.32269 25.59113,-100.31377 25.59068,-100.30817 25.607,-100.30667 25.61003,-100.30674 25.61109,-100.30808 25.61047,-100.3147 25.61202,-100.32249 25.61185,-100.32259 25.61611,-100.3218 25.61662,-100.32133 25.61997,-100.31647 25.61966,-100.31262 25.61859,-100.31996 25.62577,-100.32084 25.625,-100.3213 25.62748,-100.32457 25.62751,-100.326 25.62543,-100.32259 25.6234,-100.32581 25.61829,-100.33051 25.61816,-100.33188 25.61865,-100.33232 25.61703,-100.33511 25.6138,-100.33704 25.61523,-100.33664 25.61313,-100.33695 25.61212,-100.34191 25.61488,-100.34461 25.61522,-100.34494 25.61518,-100.34499 25.61193,-100.34549 25.61127,-100.3476 25.61167,-100.34601 25.61857,-100.34659 25.61857,-100.34665 25.61798,-100.35332 25.62032,-100.35315 25.6212,-100.36409 25.61949,-100.36564 25.61658,-100.36558 25.61582,-100.36691 25.61454,-100.36785 25.61254,-100.3698 25.61236,-100.37069 25.6131,-100.37187 25.61339,-100.37316 25.61304,-100.37462 25.61407,-100.37595 25.61409,-100.37645 25.61541,-100.37825 25.61731,-100.37954 25.61715,-100.38259 25.6193,-100.38453 25.61903,-100.38677 25.62121,-100.38664 25.61415)))",
 "Geometry POLYGON((-100.39704 25.57108,-100.29469 25.57108,-100.29469 25.63502,-100.39704 25.63502,-100.39704 25.57108))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 30131 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020202-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqeuox
title: Occurrence Download

description: A dataset containing 1827896 species occurrences available in GBIF matching the query:
{
 "or" : [
 "TaxonKey is Emberiza hortulana Linnaeus, 1758",
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "TaxonKey is Oenanthe oenanthe (Linnaeus, 1758)"
 ]
}

 The dataset includes 1827896 records from 857 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012732-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sgvev
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peltigera canina (L.) Willd.",
 "HasCoordinate is true",
 "Country is Iceland",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135245-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3zf49
title: Occurrence Download

description: A dataset containing 9441 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum mauritianum Scop."
 ]
}

 The dataset includes 9441 records from 169 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000377-190307172214381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zr8vv8
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bidens bipinnata",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015764-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.276qja
title: Occurrence Download

description: A dataset containing 7342 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heliotropium supinum"
 ]
}

 The dataset includes 7342 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015763-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptaq3n
title: Occurrence Download

description: A dataset containing 1175 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Surveys of Select Pollinators on Powerline Right-of-Ways in Central Vermont, USA"
 ]
}

 The dataset includes 1175 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015765-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15961004
title: Marine magnetic measurements acquired in Project NUCLEU in August 2015, most of the lines being for the mapping for mapsheets L-35-132-A & C, scale 1:50.000

description: Marine magnetic measurements (total geomagnetic field) acquired in August 2015 onboard R/V Mare Nigrum, during the sea cruise MN-141 most of the lines being for the mapping of the mapsheets L-35-132-A & C, scale 1:50.000
DOI: 10.5281/zenodo.15961005
title: Marine magnetic measurements acquired in Project NUCLEU in August 2015, most of the lines being for the mapping for mapsheets L-35-132-A & C, scale 1:50.000

description: Marine magnetic measurements (total geomagnetic field) acquired in August 2015 onboard R/V Mare Nigrum, during the sea cruise MN-141 most of the lines being for the mapping of the mapsheets L-35-132-A & C, scale 1:50.000
DOI: 10.48597/vg3v-d9kc
title: VOC (volatile organic compounds) at Hyytiälä

description: Measurement of VOC (volatile organic compounds) at Hyytiälä
DOI: 10.48597/z2mc-h7yf
title: Measurement of VOC (volatile organic compounds) at Hyytiälä

description: Measurement of VOC (volatile organic compounds) at Hyytiälä
DOI: 10.48597/5v2r-2dwq
title: Measurement of VOC (volatile organic compounds) at Hyytiälä

description: Measurement of VOC (volatile organic compounds) at Hyytiälä
DOI: 10.15493/dea.mims.26052214
title: African Coelecanth Ecology Programme (ACEP) Cruise on the Algoa Voyage 130, July 2004

description: The African Coelecanth Ecology Programme (ACEP) Cruise was on the Algoa Voyage 130, July 2004. The area covered includes the Western Indian Ocean; South African East Coast; Delago Bight - Mozambique; Tanzanian Coast; Comoros.
DOI: 10.15468/dl.kqnkfc
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cistus cyprius"
 ]
}

 The dataset includes 98 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015766-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqquzg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (c(2288891, 7718373, 5793721, 2287366, 10938597, 5793674, 6531941, 5189057, 5189291, 4373026, 4372000, 4373124, 2285755, 7680552, 4372146, 7472103, 2287622, 2286847, 5188847, 4374605, 9450610, 2285762, 4372407, 5188986, 5729088, 4371449, 4372803, 5189389, 6531912, 6531872, 4609349, 4369339, 10778988, 4362813, 6507639, 5191459, 2293883, 7546960, 4362895, 8632060, 8124703, 11017027, 9746127, 2291593, 11095447, 5189061, 5189484, 2287835, 8659199, 4372764, 6528471, 4372551, 9676775, 2287705, 4372053, \n5729430, 4374099, 6527876, 5189497, 4372055, 5729042, 6531334, 8765466, 4595294, 6531311, 8761891, 4588631, 4357845, 4368880, 5191257, 5189992, 4357847, 7503775, 8514118, 6496637, 4363957, 4359292, 9496971, 5724835, 5725465, 4368369, 2284994, 4371482, 2287777, 5729462, 5729175, 4593794, 4372072, 4373480, 5189383, 4374596, 4373234, 5729473, 2286383, 4371857, 4374719, 5729643, 4372673, 2285653, 4374880, 4371917, 9810295, 5794424, 5729461, 4372561, 4362907, 4362204, 6489949, 4361146, 4374764, 5189285, \n4374632, 2285357, 5729648, 4372070, 2285838, 6788770, 2286266, 2287248, 2287251, 2288792, 6520605, 5795619, 8426303))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015767-250827131500795/datasets/export for details.
DOI: 10.6084/m9.figshare.29831286
title: State-level opportunities to advance biomarker testing in patients with advanced cancers and state-regulated plans

description: This study evaluated the landscape and opportunities for improved testing coverage/reimbursement in state-regulated health plans. Upfront biomarker testing reimbursements (multigene panel testing [MGPT]/single gene testing/no testing; ≤ 90 days after advanced non-small cell lung cancer [aNSCLC] or metastatic colorectal cancer [mCRC] diagnosis) from the IQVIA PharMetrics Plus claims database were assessed by health plan (fully insured, self-funded) and state (2018–2022; via adjusted generalized linear models; bivariate state comparisons via χ<sup>2</sup> tests). Among 20,261 patients with aNSCLC (50.3%) or mCRC (49.7%), odds for claims for upfront testing and MGPT, respectively, were 10% (odds ratio [OR]: 0.90 [0.84–0.97], <i>P</i> &lt; 0.01) and 44% lower (OR: 0.56 [0.51–0.62], <i>P</i> &lt; 0.01) for fully insured versus self-funded plans. MGPT claims were identified for &lt; 5% of patients in 13 states and &lt; 10% in 41. Compared with self-funded plans, significantly lower proportions of patients with fully insured plans had upfront testing claims in 6 states (<i>P</i> &lt; 0.05) and MGPT in 10 (differences: 5.7–14.3%, <i>P</i> &lt; 0.05). Lower upfront testing and MGPT reimbursement among fully insured versus self-funded health plans suggests an opportunity for state-level legislation to improve testing coverage and access. In this study, researchers looked at patients with lung or colorectal cancer with different health insurance plans. The goal was to understand if there were differences in cancer biomarker testing plans depending on whether these could or could not be affected by a U.S. state law increasing health insurance coverage of testing. Biomarker testing allows us to find specific biological markers that can help us to understand what the best treatment option is for an individual patient. The study results showed that patients with health insurance plans that could be impacted by a state law had lower biomarker testing coverage than patients with plans not impacted by a state law. In particular, coverage of biomarker tests was much lower for tests which examine multiple biomarkers at once. The study also found that testing coverage varied across U.S. states. The results of this study suggest that state laws could improve coverage and access to biomarker testing for patients with lung or colorectal cancer.
DOI: 10.6084/m9.figshare.29831286.v1
title: State-level opportunities to advance biomarker testing in patients with advanced cancers and state-regulated plans

description: This study evaluated the landscape and opportunities for improved testing coverage/reimbursement in state-regulated health plans. Upfront biomarker testing reimbursements (multigene panel testing [MGPT]/single gene testing/no testing; ≤ 90 days after advanced non-small cell lung cancer [aNSCLC] or metastatic colorectal cancer [mCRC] diagnosis) from the IQVIA PharMetrics Plus claims database were assessed by health plan (fully insured, self-funded) and state (2018–2022; via adjusted generalized linear models; bivariate state comparisons via χ<sup>2</sup> tests). Among 20,261 patients with aNSCLC (50.3%) or mCRC (49.7%), odds for claims for upfront testing and MGPT, respectively, were 10% (odds ratio [OR]: 0.90 [0.84–0.97], <i>P</i> &lt; 0.01) and 44% lower (OR: 0.56 [0.51–0.62], <i>P</i> &lt; 0.01) for fully insured versus self-funded plans. MGPT claims were identified for &lt; 5% of patients in 13 states and &lt; 10% in 41. Compared with self-funded plans, significantly lower proportions of patients with fully insured plans had upfront testing claims in 6 states (<i>P</i> &lt; 0.05) and MGPT in 10 (differences: 5.7–14.3%, <i>P</i> &lt; 0.05). Lower upfront testing and MGPT reimbursement among fully insured versus self-funded health plans suggests an opportunity for state-level legislation to improve testing coverage and access. In this study, researchers looked at patients with lung or colorectal cancer with different health insurance plans. The goal was to understand if there were differences in cancer biomarker testing plans depending on whether these could or could not be affected by a U.S. state law increasing health insurance coverage of testing. Biomarker testing allows us to find specific biological markers that can help us to understand what the best treatment option is for an individual patient. The study results showed that patients with health insurance plans that could be impacted by a state law had lower biomarker testing coverage than patients with plans not impacted by a state law. In particular, coverage of biomarker tests was much lower for tests which examine multiple biomarkers at once. The study also found that testing coverage varied across U.S. states. The results of this study suggest that state laws could improve coverage and access to biomarker testing for patients with lung or colorectal cancer.
DOI: 10.6084/m9.figshare.29875332
title: Individual patient data meta-analysis of NEPA versus aprepitant-based antiemetic regimens for preventing chemotherapy-induced nausea and vomiting

description: Because no conclusive data demonstrate superiority among NK<sub>1</sub> receptor antagonists (RA), existing antiemetic guidelines regard them as interchangeable. This individual patient data (IPD) meta-analysis compared the efficacy of NEPA (netupitant/fosnetupitant) and aprepitant/fosaprepitant-based regimens in preventing chemotherapy-induced nausea and vomiting (CINV). Head-to-head comparative studies published between 2003 and 2022 that evaluated antiemetic prophylaxis of aprepitant or fosaprepitant versus oral or intravenous (IV) NEPA in patients with various cancers receiving highly (HEC) or moderately emetogenic chemotherapy (MEC) were identified through a literature search. We combined individual patient data to assess complete response (no emesis/no rescue medication) and no significant nausea using a two-stage approach. A total of six studies involving 2,767 patients were included evaluating NEPA plus dexamethasone versus aprepitant/fosaprepitant plus any 5-HT<sub>3</sub>RA plus dexamethasone for patients with cancer receiving HEC/MEC. Complete response and no significant nausea rates were similar during the acute (0–24 h) phase but NEPA showed significantly higher rates than aprepitant during the delayed ( &gt; 24–120 h) and overall (0–120 h) phases and on Days 3–5 following chemotherapy. Improved CINV prevention was observed with NEPA-based regimens, particularly during Days 3–5, highlighting its potential for managing prolonged nausea and vomiting associated with emerging anticancer targeted therapies. This study examined two types of medicine to help cancer patients feel less sick during chemotherapy. Both types try to stop nausea and vomiting. One kind is called NEPA, and the other is called aprepitant. Both include drugs taken by mouth or given through an IV. All patients also took other common medicines to help with side effects. The researchers looked at six studies with a total of 2,767 patients. They wanted to see which medicine worked better. On the first day of chemotherapy, both types worked about the same. But in the days after chemotherapy, NEPA worked better. It helped prevent vomiting and more severe nausea. It also meant fewer people needed extra medicine to feel better. This improvement was true from day 2 to day 5 after treatment. The study shows that NEPA may give better long-term relief from chemotherapy side effects, which may be especially helpful for patients who are using newer cancer drugs that can cause longer-lasting nausea.