cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110813723
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.25549/inscriptifact-ouc110813648
title: Neo-Assyrian Linear Style Stone Cylinder Seal, BMC S.178

description: [Text Description:] Neo-Assyrian (Late Assyrian) ❧ [Text or Publication Number Note:] BMC S.178 ❧ [Medium:] Stone ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Stone Cylinder Seal
DOI: 10.25549/inscriptifact-ouc110813457
title: Attic White-Ground Lekythos (Oil Bottle) with Tomb Visitation Scene, BMC P.3222

description: [Text Description:] Attributed to Aischines Painter, Classical ❧ [Text or Publication Number Note:] BMC P.3222 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, White-Ground Lekythos (Oil Bottle) ❧ [Physical Object Note:] 7 1/2 x 2 9/16 x 2 9/16 in. (19 x 6.5 x 6.5 cm) ❧ [Physical Object Note:] Lekythoi
DOI: 10.25549/inscriptifact-ouc110813587
title: Neo-Assyrian Stamp Seal with Multi-figured Scene, BMC S.114

description: [Text Description:] Neo-Assyrian ❧ [Text or Publication Number Note:] BMC S.114 ❧ [Medium:] Stone ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Stone Stamp Seal ❧ [Physical Object Note:] 1 x 23/32 x 3/4 in. (2.5 x 1.8 x 1.9 cm)
DOI: 10.25549/inscriptifact-ouc110813635
title: Neo-Assyrian Linear Style Stone Cylinder Seal, BMC S.178

description: [Text Description:] Neo-Assyrian (Late Assyrian) ❧ [Text or Publication Number Note:] BMC S.178 ❧ [Medium:] Stone ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Stone Cylinder Seal
DOI: 10.25549/inscriptifact-ouc110813348
title: Apulian Red-Figure Krater (Mixing Bowl), BMC P.3138

description: [Text Description:] Associate of the Lycurgus Painter, Classical ❧ [Text or Publication Number Note:] BMC P.3138 ❧ [Medium:] Clay ❧ [Script Note:] Non-Text ❧ [Physical Object Description:] Clay, Red-Figure Krater (Mixing Bowl) ❧ [Physical Object Note:] 20 1/2 x 13 1/2 x 17 1/2 in. (52 x 34.3 x 44.5 cm) ❧ [Physical Object Note:] Kraters
DOI: 10.7910/dvn/untfdq
title: Wright Files I-Z Edited; Docketed Case: 79-2483
DOI: 10.15468/dl.atneb6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myrciaria cauliflora (Mart.) O.Berg",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 11 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015391-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dpdmp6
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abronia antauges"
 ]
}

 The dataset includes 21 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001188-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne7wnb
title: Occurrence Download

description: A dataset containing 4308 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 500",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 "TaxonKey is Eucalyptus sideroxylon"
 ]
}

 The dataset includes 4308 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001187-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyp5vq
title: Occurrence Download

description: A dataset containing 242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is February",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes vulpes",
 "Year 2024-2024"
 ]
}

 The dataset includes 242 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001189-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5gm82257
title: MassIVE MSV000099974 - Acute in vivo proximity labeling for membrane targeted proteomics in neuronal circuits
title: The field of molecular systems neuroscience aims to bridge neuronal circuit activity patterns with changes in protein expression and localization in the context of specific animal behaviors. However, there are limited tools for capturing changes in subcellulary-defined proteomes within neuronal circuits during activity-gated timescales in vivo. Here, we engineered targeted versions of the proximity labeling enzyme TurboID, to tag proteins at the neuronal membrane during a user-delivered biotin injection. We optimized a labeling strategy that enables a one-to-two-hour labeling window to tag proteins in prefrontal cortex (PFC) cell bodies and corresponding axons in two downstream projections. We performed proteomics to identify proteins enriched across different projections, and identified membrane associated proteins in the PFC cell bodies that are enriched at the membrane following an acute cocaine injection. These advancements enable the detection of proteins at the subcellular level within short labeling windows, allowing identification of stimulus-specific proteomes in behaving mice.
DOI: 10.15468/dl.bj5x8m
title: Occurrence Download

description: A dataset containing 1128704 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)"
 ]
}

 The dataset includes 1128704 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001180-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d99q2m
title: Occurrence Download

description: A dataset containing 313658 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is LBBG_ADULT - Lesser black-backed gulls (Larus fuscus, Laridae) breeding in Belgium"
 ]
}

 The dataset includes 313658 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001182-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zt93gf
title: Occurrence Download

description: A dataset containing 1801214 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)"
 ]
}

 The dataset includes 1801214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001183-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/y4fh-4y19
title: "Pre_Trained LLM"

description: "This dataset was created to provide comparative statistics on various general-purpose and pre-trained financial large language models (LLMs) based on their financial capabilities. We also emphasize on which specific characteristics contributed to their financial capacity. We also provide data on whether the models were open- or closed-sourced. Our intent was to generate a categorical heatmap from the CSV data. The listed LLMs possess wide range of financial task capabilities which includes Real-time forecasting, Quantitative trading, Insolvency forecasting, Mergers and Acquisition Forecasting, Stock Prediction, News Headlines, Named Entity Recognition, Relation Extraction, Causal Classification, Sentiment Analysis, Financial News Multi-Label Classification, Financial Question Answering, Structured Financial Reasoning, Credit Scoring, Fraud Detection, Portfolio Optimization, Financial Reporting Analysis. The specialty of these models often stems from their training data, efficiency, or architectural adaptations:\u2022 Data and Specialization: Models like BloombergGPT were few-shot trained and used 9 specific finance datasets. Mixed data approach which provided data quality and specificity was key. FinBERT uses automated labeling and reinforcement learning of stock prices to improve prediction.\u2022 Efficiency and Cost: FinGPT and Instruct FinGPT are highlighted as cost-effective options. FinGPT improves financial reasoning while demonstrating cost-effectiveness by leveraging lightweight adaptation methods such as LoRA and QLoRA. Instruct FinGPT is trained on LLaMA 7B and is noted as costing less than $300.\u2022 Architectural Features: GPT4 emphasizes learning cross-sequence patterns, multi-modal learning, and handling vast amounts of data. Models like FLANG-BERT and FLANG-ELECTRA are domain-independent LLMs that utilize differential masked 8200 words and phrases.\u2022 Multi-modal Integration: FinTral is distinguished by its capability for multi-modal data processing, specializing in financial understanding, real-time analysis, and decision-making tool integration for quantitative tasks.The key idea to take from the categorical heatmap is to identify and acknowledge the huge variety of Financial Language Models that are present in the industry. "
DOI: 10.15468/dl.xxa9dn
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Handroanthus albus"
 ]
}

 The dataset includes 223 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001194-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17485928
title: Global Pasture Watch - Annual buffalo density layers at 1-km for 2000–2022 (including 95% prediction interval)

description: Global annual layers of buffalo density at 1-km spatial resolution convering the period of 2000–2022. The layers were produced using harmonized and used as reference data (55,336 census polygons and 313,604 individual data entries), random forest predictive models and a large stack of multi-source harmonized gridded/raster spatial layers (128 individual raster spatial layers harmonized at 1 km spatial resolution). 

Raster cell values represent heads km2 including:



Mean predicted values (_m_)

Upper prediction interval based on 97.5th percentiles (_p.975_)

Lower prediction interval based on 2.5th percentiles (_p.025_)


Based on 95% probability quantiles, prediction intervals are relatively wide; therefore, for a more effective use, we recommend converting them to standard deviation by dividing the range (p.975 - p.025) by four.

Raw/Uncalibrated headcounts are also provided and were computed by multiplying the density values by the actual area of potential land for livestock production.

In line with a request from our funders, livestock Layers will remain under embargo in Zenodo until the final acceptance of peer-reviewed publication. They can be accessed during the reviewing process by filling-in a form via Global Pasture Watch Early Access data program (https://survey.alchemer.com/S3/7859804/Pasture-Early-Adopters). All modeling framework presented in this work is publicly available at: https://github.com/wri/global-pasture-watch. We are currently preparing the data to be ingested in STAC and Google Earth Engine.

Related resources



Maps of livestock headcount for 2000—2022 (FAOSTAT-adjusted):All animals (Part-1)  All animals (Part-2)

Maps of livestock density for 2000—2022 (including 95% prediction interval):Cattle  Goats   Sheep  Horses Buffaloes

Livestock reference census data (2000–2022):CSV and GeoPackage files

Maps potential land for livestock production for 2000—2022 (including production systems)Raster files

Data catalogues:OpenLandMap STAC Google Earth Engine
DOI: 10.5281/zenodo.14926056
title: Global Pasture Watch - Livestock reference samples based on multi-source sub-national census data (2000—2022)

description: Harmonized collection from various national agencies, FAOSTAT and existing livestock data sources. Data were downloaded, curated and standardized using an ontology framework, and later integrated with existing livestock polygonal data. For each polygon administrative unit name, reference year, livestock animal type and headcount were aassigned.

The dataset includes information for cattle, horses, goats and sheep is composed by:



GPW: Time series of livestock census data obtained from various national agencies organized by Global Pasture Watch project.

GLW: Subset of the input census polygons used for producing Gridded Livestock of the World v4 (Wisser & Cinardi, 2024)

Malek et al. (2024): Including European census data of cattle and sheep headcounts for 2020 and 2010

FAOSTAT: Used to backfill data gaps in small countries (total national area smaller than 226 thousands km2)


Processing pipeline implementes using arealDB, ontologics, tabshiftr, Pandas and GeoPandas are publicly available in https://github.com/wri/global-pasture-watch.

Related resources



Maps of livestock headcount for 2000—2022 (FAOSTAT-adjusted):All animals

Maps of livestock density for 2000—2022 (including prediction interval):Cattle  Goat   Sheep  Horse

Livestock reference census data (2000–2022):CSV and GeoPackage files

Maps potential land for livestock production for 2000—2022 (including production systems)Raster files

Data catalogues:OpenLandMap STAC Google Earth Engine
DOI: 10.5281/zenodo.17214895
title: Supplemental file. S1. Spreadsheet with data retrieved from publications of Stellifer naso and Stellifer punctatissimus.
DOI: 10.5281/zenodo.17664772
title: Supplemental file. S1. Spreadsheet with data retrieved from publications of Stellifer naso and Stellifer punctatissimus.
DOI: 10.15468/dl.mdjbee
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenodecticus masferreri"
 ]
}

 The dataset includes 28 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001197-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbpw38
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((20 30,36 30,36 40,20 40,20 30))",
 "OccurrenceStatus is Present",
 "TaxonKey is Holothuroidea",
 "Year 1993-2023"
 ]
}

 The dataset includes 394 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001196-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.erm3bw
title: Occurrence Download

description: A dataset containing 102081 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is India Biodiversity Portal publication grade dataset"
 ]
}

 The dataset includes 102081 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001193-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqpmex
title: Occurrence Download

description: A dataset containing 1209 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coccinella septempunctata"
 ]
}

 The dataset includes 1209 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001200-251120083545085/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.26771125
title: The magnetostratigraphic and stable carbon and oxygen isotopic dataset for the Zarzur Formation in Wadi ash Shati, Libya

description: The Fazzan Basin, south-west Libya, is one of the few regions to document North Africa’s palaeohydrological history in the form of lacustrine-related sedimentary deposits. These belongs to the Al Mahruqah Group, deposited by the hypothesised Lake Megafazzan.To develop and extend knowledge of the basin during the Neogene, magnetostratigraphic, geochemical and sedimentological analyses have been conducted on sediments from four stratigraphic sections from the Wadi ash Shati area (southern Libya), which cover the Zarzur Formation of the Al Mahruqah Group. Magnetostratigraphic dating demonstrates these units range through the Messinian into the early Pliocene. The stable isotope data and sedimentology suggests the lacustrine units developed in fresh to hypersaline lake systems caught between linear dune systems much like in this part of the modern Awbari Sand sea. The isotope data from carbonates associated with groundwater formed cements and the lacustrine carbonates hints at the strong groundwater control on the carbonate systems.This dataset contains the entire magnetostratigraphic dataset plus, the stable isotope data and the age model assessments.
DOI: 10.6084/m9.figshare.26771125.v1
title: The magnetostratigraphic and stable carbon and oxygen isotopic dataset for the Zarzur Formation in Wadi ash Shati, Libya

description: The Fazzan Basin, south-west Libya, is one of the few regions to document North Africa’s palaeohydrological history in the form of lacustrine-related sedimentary deposits. These belongs to the Al Mahruqah Group, deposited by the hypothesised Lake Megafazzan.To develop and extend knowledge of the basin during the Neogene, magnetostratigraphic, geochemical and sedimentological analyses have been conducted on sediments from four stratigraphic sections from the Wadi ash Shati area (southern Libya), which cover the Zarzur Formation of the Al Mahruqah Group. Magnetostratigraphic dating demonstrates these units range through the Messinian into the early Pliocene. The stable isotope data and sedimentology suggests the lacustrine units developed in fresh to hypersaline lake systems caught between linear dune systems much like in this part of the modern Awbari Sand sea. The isotope data from carbonates associated with groundwater formed cements and the lacustrine carbonates hints at the strong groundwater control on the carbonate systems.This dataset contains the entire magnetostratigraphic dataset plus, the stable isotope data and the age model assessments.
DOI: 10.15468/dl.sxpzwb
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen)",
 "Continent is South America",
 "Country is Colombia",
 "DatasetKey is one of (Registros Primates Neotropicales Convocatoria APC, iNaturalist Research-grade Observations, Inventario de fauna presente en la jurisdicción de Corantioquia, Monitoreo de vertebrados registrados a través de transectos en la cuenca media del Río Magdalena en el 2015 en el marco del Proyecto Vida Silvestre, Monitoreos trianuales de fauna y flora en el Valle del Cerrejón, La Guajira, LACM Vertebrate Collection, Colección Mastozoológica de la Universidad Industrial de Santander, Colecta de muestras fecales de primates (Atelidae y Cebidae) para la determinación de prevalencia de Plasmodium sp., Colección de Mamíferos del Museo de Historia Natural C.J. Marinkelle, Field Museum of Natural History (Zoology) Mammal Collection)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Ateles hybridus"
 ]
}

 The dataset includes 135 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001203-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsqsd9
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-74.22158 4.21711,-73.89976 4.21711,-73.90472 4.91993,-74.22158 4.8231,-74.22158 4.21711))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Eulaema"
 ]
}

 The dataset includes 17 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001204-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2eghjd
title: Occurrence Download

description: A dataset containing 923851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2025-09-25",
 "EventDate is less than or equal to 2025-10-25",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 },
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 923851 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001192-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhb8nk
title: Occurrence Download

description: A dataset containing 634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Month is May",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes vulpes",
 "Year 2023-2023"
 ]
}

 The dataset includes 634 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001206-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b6p5ak
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "GadmGid is PER.3_1",
 "TaxonKey is Neobartsia"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001205-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5683/sp3/wt1lnx
title: Dataset for the paper : Quantifying bulk density of boreal peat using X-ray computed tomography

description: Contains the following:
- two python scripts;
- scans of 4 peat cores in wet and dry conditions
- processed examples