cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.d7qqvc
title: Occurrence Download

description: A dataset containing 1670385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.01501 49.011,-94.46803 49.011,-94.46803 54.82198,-117.01501 54.82198,-117.01501 49.011))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 1670385 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026216-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16915253
title: Human Neural Organoid Modeling of Diffuse Midline Glioma Faithfully Captures the Complexity of Patient Tumors

description: Diffuse Midline Glioma H2K27-altered (DMG) is an extremely aggressive and lethal childhood brain cancer that grows within the midline structure of the brain. Current treatment options are only palliative, making DMG in desperate need for therapeutic breakthroughs. One of the major challenges limiting the study of DMG is the lack of reliable preclinical models. In vivo mouse models are expensive and technically challenging and in vitro cell culture models lack the essential components of tumor microenvironment (TME) needed to recapitulate the complex biology of these tumors. Scalable human neural organoids with multi-cellular make-up can serve as a cost effective and reliable model system to capture DMG biology and allow effective species matched drug testing in vitro. Using 3 separate DMG PDX cell lines, we spatially profiled a novel scalable human iPSC-derived neural organoid system containing neurons, functional astrocytes and microglia using the NanoString GEOMX spatial transcriptomics system. We found that all three cell lines interact with and integrate into the human neural organoids, demonstrating favorable growth conditions in a complex co-culture. Across spatially resolved regions of interest (ROI’s) tumor cells individually interact with microglia and astrocytes and transcriptomic profiling of these mixed cell ROI’s shows differences in the genetic signatures of both the normal cells (microglia/astrocytes) and the tumor cells. When compared to biopsies obtained directly from DMG patients, DMG cells within neural organoids correlate strongly at both transcriptomic and proteomic levels. The multi-cellular neural organoids also enabled drug target bystander toxicity screening not possible in a traditional tumor cell only monoculture. This study provides a proof-of-concept for scalable neural organoid modeling for DMG and underscores the translational relevance of this model system.
DOI: 10.5281/zenodo.16915254
title: Human Neural Organoid Modeling of Diffuse Midline Glioma Faithfully Captures the Complexity of Patient Tumors

description: Diffuse Midline Glioma H2K27-altered (DMG) is an extremely aggressive and lethal childhood brain cancer that grows within the midline structure of the brain. Current treatment options are only palliative, making DMG in desperate need for therapeutic breakthroughs. One of the major challenges limiting the study of DMG is the lack of reliable preclinical models. In vivo mouse models are expensive and technically challenging and in vitro cell culture models lack the essential components of tumor microenvironment (TME) needed to recapitulate the complex biology of these tumors. Scalable human neural organoids with multi-cellular make-up can serve as a cost effective and reliable model system to capture DMG biology and allow effective species matched drug testing in vitro. Using 3 separate DMG PDX cell lines, we spatially profiled a novel scalable human iPSC-derived neural organoid system containing neurons, functional astrocytes and microglia using the NanoString GEOMX spatial transcriptomics system. We found that all three cell lines interact with and integrate into the human neural organoids, demonstrating favorable growth conditions in a complex co-culture. Across spatially resolved regions of interest (ROI’s) tumor cells individually interact with microglia and astrocytes and transcriptomic profiling of these mixed cell ROI’s shows differences in the genetic signatures of both the normal cells (microglia/astrocytes) and the tumor cells. When compared to biopsies obtained directly from DMG patients, DMG cells within neural organoids correlate strongly at both transcriptomic and proteomic levels. The multi-cellular neural organoids also enabled drug target bystander toxicity screening not possible in a traditional tumor cell only monoculture. This study provides a proof-of-concept for scalable neural organoid modeling for DMG and underscores the translational relevance of this model system.
DOI: 10.58053/mapbiomas/sgxczu
title: Coverage and transitions statistics by special territories - Legal Amazon - MapBiomas Brasil Collection 10

description: Area data (ha) of land cover class for the Legal Amazon territory from 1985 to 2024, based on MapBiomas Brazil Collection 10.
DOI: 10.15468/dl.nu7pph
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laubuka varuna)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026256-250811113504898/datasets/export for details.
DOI: 10.15468/dl.p97cjn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maconellicoccus hirsutus",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026258-250811113504898/datasets/export for details.
DOI: 10.15468/dl.93scn3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maconellicoccus hirsutus",
 "Country is Sudan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026257-250811113504898/datasets/export for details.
DOI: 10.18430/m39d6y
title: X-ray diffraction data for the crystal structure of Apo Human Prostaglandin reductase 1 (PTGR1) (Orthorhombic C form) (9D6Y)
DOI: 10.6084/m9.figshare.29585576.v1
title: Data&Scripts.zip

description: Data and R scripts used in the paper "High β-diversity in fig wasp communities driven by species turnover in widely distributed Neotropical fig trees". Data is preserved in CSV files (semicolon as column separator and comma as decimal separator).
DOI: 10.15468/dl.e3sat3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ompok pluriradiatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026270-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8436v6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maconellicoccus hirsutus",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026271-250811113504898/datasets/export for details.
DOI: 10.15468/dl.ev473h
title: Occurrence Download

description: A dataset containing 237975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Draba verna"
 ]
}

 The dataset includes 237975 records from 1630 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026217-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3eh5v
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ixora coccinea",
 "Country is Maldives",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025066-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuu9e4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ixora coccinea",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025065-250811113504898/datasets/export for details.
DOI: 10.21227/4ttz-p423
title: "Antarctic Landsat 8 single-channel sea surface temperature algorithm supporting data"

description: "Ocean heat transport drives approximately half of the ice mass loss in Antarctica and measurements near glacier ice fronts are crucial for understanding the processes driving that loss. However, field observations in these remote, harsh environments are exceedingly difficult to acquire and are concomitantly sparse. Remotely sensed sea surface temperature (SST) acquisitions consistently capture ocean heat transport in these regions offering a potential alternative to field observations. This alternative has been widely underutilized to date, in part because polar SST products have historically been considered less reliable than those at lower latitudes. SST products suffer from complex and poorly known sub-pixel-scale ice-ocean processes, mixed surface states that prevent clean ocean surface observations, and limited calibration and validation datasets, underscoring the need for improved methods in polar regions. Landsat\u2019s thermal infrared record, extending back to 1982, has not produced a dedicated SST algorithm, and no temperature product of any sort for polar regions. Yet with its relatively high spatial resolution and long time series, Landsat has substantial potential for observing partially ice-covered seas. Here, we provide data that supports the development and validation of an open-source, cloud-native Landsat 8 single-channel SST algorithm for West Antarctica that can be adapted and transferred to previous Landsat sensors that only had one thermal infrared band. Cross-calibration of this new SST product with MODIS SSTs found a root mean square error of 0.26 degrees C and yielded a 30% improvement upon the existing Landsat Surface Temperature algorithm used by the mission elsewhere around the world. Validation with seven iQuam Argo SST measurements over the last 12 years showed a strong, nearly one-to-one agreement with a calculated RMSE of 0.15 degrees C, although the scarcity of field observations prevented us from sampling the entire range of variability. The publicly available pipeline is fully open-source and replicable with the exception of the electromagnetic atmospheric propagation model (MODTRAN). The automated and cloud-optimized nature of our pipeline processes a new Landsat image from discovery to calibration in approximately 86 seconds, accelerating science by reducing data searches to mere seconds with only a few lines of Python code, eliminating manual downloads, and enabling near-instant replication when new collections are released."
DOI: 10.15468/dl.nyjv2w
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Prognathodes obliquus (Lubbock & Edwards, 1980)"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002006-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y39fbr
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mauritia flexuosa L.f."
 ]
}

 The dataset includes 750 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002010-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.begeyj
title: Occurrence Download

description: A dataset containing 1560 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lactarius decipiens Quél., Cortinarius ohlone Bojantchev)"
 ]
}

 The dataset includes 1560 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002009-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zj7h5
title: Occurrence Download

description: A dataset containing 391 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Loxodonta africana (Blumenbach, 1797)"
 ]
}

 The dataset includes 391 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002012-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15283733
title: THE SIGNIFICANCE OF LITERATURE FOR SOCIETY. PROBLEMS OF MODERN LITERATURE

description: the article examines modern problems of Russian literature. Also, the main examples with a detailed explanation of the presented material are given. This scientific work also examines the options for the revival of modern Russian literature.
DOI: 10.5281/zenodo.15283734
title: THE SIGNIFICANCE OF LITERATURE FOR SOCIETY. PROBLEMS OF MODERN LITERATURE

description: the article examines modern problems of Russian literature. Also, the main examples with a detailed explanation of the presented material are given. This scientific work also examines the options for the revival of modern Russian literature.
DOI: 10.15468/dl.2xj5yh
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Brazil",
 "TaxonKey is Feijoa sellowiana (O.Berg) O.Berg"
 ]
}

 The dataset includes 65 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002011-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.273shs
title: Occurrence Download

description: A dataset containing 87 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphilotes pallescens pallescens"
 ]
}

 The dataset includes 87 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002013-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vthr9m
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z ((-46.79903309699995 -4.387863172999971 0, -46.79928558599988 -4.388230857999929 0, -46.800488976999816 -4.388381761999881 0, -46.802716808999946 -4.388661124999885 0, -46.80342086499991 -4.388338781999948 0, -46.807754547999934 -4.388839630999939 0, -46.810461835999945 -4.388857748999897 0, -46.811733671999946 -4.388900774999911 0, -46.81200961499991 -4.388569518999873 0, -46.813195518999976 -4.388280538999936 0, -46.8171995589999 -4.3874011089999385 0, -46.81902059899994 -4.387056862999941 0, -46.82089291599988 -4.387131323999881 0, -46.82132598599992 -4.387591239999949 0, -46.82266267099993 -4.38793004199988 0, -46.82331106699996 -4.387953594999885 0, -46.82448933599983 -4.388384377999898 0, -46.829918813999825 -4.390308634999883 0, -46.83215967399997 -4.391051732999927 0, -46.83425803399996 -4.391799331999948 0, -46.835391641999934 -4.392198735999955 0, -46.835391634553076 -4.392198759995836 0, -46.8342580337031 -4.391799358159752 0, -46.83215967369801 -4.3910517589327664 0, -46.8299188131199 -4.390308661274078 0, -46.8244893358631 -4.388384403626283 0, -46.82331106604559 -4.3879536202671545 0, -46.8226626706872 -4.387930067726479 0, -46.8213259856098 -4.387591265411932 0, -46.8208929157919 -4.387131349537676 0, -46.8190205981757 -4.387056888293907 0, -46.81719955865631 -4.387401134545802 0, -46.81319551810321 -4.388280564465031 0, -46.81200961454071 -4.388569544590423 0, -46.8117336718223 -4.388900800883422 0, -46.8104618351496 -4.388857774297495 0, -46.8077545478656 -4.38883965708589 0, -46.8034208646642 -4.388338807330425 0, -46.80271680878361 -4.388661150477786 0, -46.79928558579171 -4.388230883750377 0, -46.79903309605229 -4.387863198149747 0, -46.7956737363798 -4.387498205784642 0, -46.79171912144871 -4.387072505731061 0, -46.7910408214866 -4.387243588879355 0, -46.7903901856425 -4.387418131666369 0, -46.7898290042736 -4.387592459359215 0, -46.788734036281 -4.3877181530333775 0, -46.7881557187199 -4.387203128325598 0, -46.78737083305851 -4.386687512675048 0, -46.7862503515373 -4.386160944118591 0, -46.78481960331389 -4.385591711798526 0, -46.78481437737687 -4.385588734219291 0, -46.784814514871094 -4.385588786370109 0, -46.78481960399989 -4.385591685999941 0, -46.78625035199997 -4.386160918999963 0, -46.787370833999944 -4.386687486999961 0, -46.788155718999974 -4.387203102999877 0, -46.78873403699993 -4.38771812799996 0, -46.789829004999945 -4.3875924339999415 0, -46.79039018599991 -4.387418105999927 0, -46.79104082199996 -4.387243562999856 0, -46.791719121999904 -4.387072479999972 0, -46.7956737369999 -4.387498179999966 0, -46.79903309699995 -4.387863172999971 0))",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002014-250424135625364/datasets/export for details.
DOI: 10.15468/dl.yhcgg9
title: Occurrence Download

description: A dataset containing 2302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Antilocapra americana (Ord, 1815)"
 ]
}

 The dataset includes 2302 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002015-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p14fus2b
title: Lake Erie Pelagic Prey Fish Community Data, 2022-2024

description: Since 2005, the U.S. Geological Survey - Great Lakes Science Center's Lake Erie Biological Station (LEBS) has participated in a collaborative, multiagency effort to assess pelagic prey fish populations in the western (WB), central (CB), and eastern (EB) basins of Lake Erie through a combination of hydroacoustic and midwater trawl sampling. Assessing lake-wide distribution and abundance of pelagic prey species over time facilitates evaluation of large-scale drivers of fish production while also considering food-web dynamics at a smaller sub-basin scale. Information from this survey will support decision making within an ecosystem-based fishery management framework. In support of binational Great Lakes fishery management, the objectives of this survey are to provide density estimates of key pelagic prey species across Lake Erie, to assess spatial distributions of fishes, and annual fluctuations in abundance. A stratified-random sampling approach including 24 strata was carried out during July (Summer), starting in 2022. This data release adds 2024 data to the set for a total of 3 years using the standardized survey design and data processing workflow.
DOI: 10.3886/e211601v1
title: The Historical and Expected Equity Risk Premium in Spain: A Long-Run View, 1900-2020

description: Replication data for manuscript "The Historical and Expected Equity Risk Premium in Spain: A Long-Run View, 1900-2020". We present revised estimates of the historical (ex post) equity risk premium and an
original estimate of the expected (ex
ante) premium for the Madrid stock market over a period of 120 years. The
results are based on a new equity index, the H-IBEX (1900-1987), built on
high-quality monthly data hand-collected from primary sources and methodologically
aligned with the modern Spanish index, IBEX35. We also reconstructed an
original weighted index of government bonds (1900-1987) which can be smoothly
connected with recent data. Data include original series for equities, bonds and bills for the Madrid Stock Exchange from 1900 to 1987, at monthly and annual frequency, spliced with more recent data on equities (IBEX35) and bonds, to cover the period until 2020. Documentation includes three Excel files (monthly series, annual series and summary of annual data) and one Eviews13 file with main regressions.
description: Equities and bonds traded in the Madrid Stock Exchange.
DOI: 10.3886/e211601v2
title: The Historical and Expected Equity Risk Premium in Spain: A Long-Run View, 1900-2020

description: Replication data for manuscript "The Historical and Expected Equity Risk Premium in Spain: A Long-Run View, 1900-2020". We present revised estimates of the historical (ex post) equity risk premium and an
original estimate of the expected (ex
ante) premium for the Madrid stock market over a period of 120 years. The
results are based on a new equity index, the H-IBEX (1900-1987), built on
high-quality monthly data hand-collected from primary sources and methodologically
aligned with the modern Spanish index, IBEX35. We also reconstructed an
original weighted index of government bonds (1900-1987) which can be smoothly
connected with recent data. Data include original series for equities, bonds and bills for the Madrid Stock Exchange from 1900 to 1987, at monthly and annual frequency, spliced with more recent data on equities (IBEX35) and bonds, to cover the period until 2020. Documentation includes three Excel files: monthly series, annual series and a summary of annual data.
description: Equities and bonds traded in the Madrid Stock Exchange.