cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/00495
title: Chandra X-ray Observatory ObsId 00495

description: THE MASSIVE COOLING FLOW IN A1835
DOI: 10.25574/00536
title: Chandra X-ray Observatory ObsId 00536

description: DETERMINATION OF H0/Q0
DOI: 10.25574/00541
title: Chandra X-ray Observatory ObsId 00541

description: DETERMINATION OF H0/Q0
DOI: 10.25574/00576
title: Chandra X-ray Observatory ObsId 00576

description: DEMONSTRATION SPECTRUM OF A COOLING FLOW CLUSTER: HYDRA A
DOI: 10.25574/00577
title: Chandra X-ray Observatory ObsId 00577

description: DEMONSTRATION IMAGES OF CLUSTERS
DOI: 10.25574/00578
title: Chandra X-ray Observatory ObsId 00578

description: DEMONSTRATION IMAGES OF CLUSTERS
DOI: 10.25574/00901
title: Chandra X-ray Observatory ObsId 00901

description: A521, A CLUSTER FORMING AT THE CROSSING OF TWO FILAMENTS?
DOI: 10.25574/00921
title: Chandra X-ray Observatory ObsId 00921

description: THE ORIGIN AND DISTRIBUTION OF HEAVY ELEMENTS IN THE COMPACT GROUP HCG 62
DOI: 10.25574/00928
title: Chandra X-ray Observatory ObsId 00928

description: X-RAY ABSORPTION FROM COLD GAS IN THE CLUSTER MS2137.3-2353
DOI: 10.25574/01190
title: Chandra X-ray Observatory ObsId 01190
DOI: 10.25574/01196
title: Chandra X-ray Observatory ObsId 01196
DOI: 10.25574/01226
title: Chandra X-ray Observatory ObsId 01226
DOI: 10.25574/01228
title: Chandra X-ray Observatory ObsId 01228
DOI: 10.25574/01386
title: Chandra X-ray Observatory ObsId 01386

description: MASS DISTRIBUTIONS OF RELAXED CLUSTERS
DOI: 10.25574/01454
title: Chandra X-ray Observatory ObsId 01454

description: ACIS STUDY OF DARK MATTER IN CLUSTERS
DOI: 10.5281/zenodo.15358227
title: Data and codes for Rising Global Species Loss Embodied in Oil Crop Supply Chains

description: This Zenodo repository provides comprehensive data and code supporting the draft "Rising Global Species Loss Embodied in Oil Crop Supply Chains." The datasets encompass:



Harmonized Global Spatial Distribution of Oil Crops (2020): Detailed maps for 19 major oil crops at a five-arcminute resolution, synthesized from FAOSTAT, SPAM 2020, CROPGRIDS, and remote sensing data.

Spatially Explicit Biodiversity Impacts (2020): Potential Global Species Loss (PSLglo) associated with oil crop cultivation, calculated by combining the spatial distribution and land use intensity (LUI) of oil crops with global species loss factors.

Biodiversity Impact Time Series (1995-2020): National-level PSLglo for various oil crops, derived using FAOSTAT harvested area data and 2020 impact intensities.

Hybridized FABIO and REX3 MRIO Model (1995-2020): A novel multi-regional input-output framework combining the detailed agricultural and food product classifications of FABIO with the extensive non-food sector coverage and high regional resolution of REX3.

5D Supply Chain Impact Matrices: Multidimensional arrays for food and non-food final uses, enabling detailed tracking of biodiversity impacts from cultivation through intermediate processing to final consumption.

Structural Decomposition Analysis (SDA) Results: Quantitative assessment of socio-economic drivers (e.g., per-capita consumption, population growth, agricultural efficiency) of changes in biodiversity impacts from 1995 to 2020.


The accompanying code were also included in this repository,  and will publicly available on GitHub (ecological-systems-design/oilcrop-biodiversity-impact), facilitates the replication of all important analytical steps, including oil crop distribution assimilation, biodiversity impact assessment, hybridization of MRIO tables, supply chain impact mapping, and structural decomposition analysis. These resources enable further research into the biodiversity footprints of global commodity supply chains.
DOI: 10.5281/zenodo.15484562
title: Data and codes for Rising Global Species Loss Embodied in Oil Crop Supply Chains

description: This Zenodo repository provides comprehensive data and code supporting the draft "Rising Global Species Loss Embodied in Oil Crop Supply Chains" for peer review. The datasets encompass:



Harmonized Global Spatial Distribution of Oil Crops (2020): Detailed maps for 19 major oil crops at a five-arcminute resolution, synthesized from FAOSTAT, SPAM 2020, CROPGRIDS, and remote sensing data.

Spatially Explicit Biodiversity Impacts (2020): Potential Global Species Loss (PSLglo) associated with oil crop cultivation, calculated by combining the spatial distribution and land use intensity (LUI) of oil crops with global species loss factors.

Biodiversity Impact Time Series (1995-2020): National-level PSLglo for various oil crops, derived using FAOSTAT harvested area data and 2020 impact intensities.

Hybridized FABIO and REX3 MRIO Model (1995-2020): A novel multi-regional input-output framework combining the detailed agricultural and food product classifications of FABIO with the extensive non-food sector coverage and high regional resolution of REX3.

5D Supply Chain Impact Matrices: Multidimensional arrays for food and non-food final uses, enabling detailed tracking of biodiversity impacts from cultivation through intermediate processing to final consumption.

Structural Decomposition Analysis (SDA) Results: Quantitative assessment of socio-economic drivers (e.g., per-capita consumption, population growth, agricultural efficiency) of changes in biodiversity impacts from 1995 to 2020.


The accompanying code were also included in this repository,  and will publicly available on GitHub (ecological-systems-design/oilcrop-biodiversity-impact), facilitates the replication of all important analytical steps, including oil crop distribution assimilation, biodiversity impact assessment, hybridization of MRIO tables, supply chain impact mapping, and structural decomposition analysis. These resources enable further research into the biodiversity footprints of global commodity supply chains.
DOI: 10.25824/redu/46utop
title: Neuroimagem e COVID-19

description: Dados provenientes do estudo neuroCOVID da UNICAMP. Neste estudo avaliamos dados de neuropsicologia, exame físico neurológico e neuroimagem funcional e estrutural dos participantes. Os participantes se cadastravam através de um QR code - o qual, após nosso acesso, permitia a convocação destes participantes. Deixamos as publicações aqui e não disponibilizaremos os dados devido a questões éticas. Solicitações podem ser realizadas através de contato pessoal e solicitação justificada.
DOI: 10.5281/zenodo.15484597
title: Anexo 2. Movimientos sociales y liberales por los derechos civiles en el posicionamiento del bienestar en el centro de las políticas públicas.
DOI: 10.5281/zenodo.15484598
title: Anexo 2. Movimientos sociales y liberales por los derechos civiles en el posicionamiento del bienestar en el centro de las políticas públicas.
DOI: 10.5066/f7cv4gx2
title: Satellite Telemetry Data for Greater White-fronted Geese (Anser albifrons) Captured on the Arctic Coastal Plain of Alaska, 2013-2017

description: This data release contains one table of data from a four-year study of Greater White-fronted Goose (Anser albifrons frontalis) breeding ecology conducted in the National Petroleum Reserve - Alaska during 2013-2017. Location data depict habitat use of 5 marked female birds throughout the annual cycle.
DOI: 10.34740/kaggle/dsv/11900387
title: Balochi Language to English Translation Dataset
DOI: 10.34740/kaggle/dsv/11900389
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25574/cdc.389
title: Chandra X-ray Observatory Chandra Data Collection for request #389

description: Chandra Data Collection for request #389
DOI: 10.25574/cdc.241
title: Chandra X-ray Observatory Chandra Data Collection for request #241

description: Chandra Data Collection for request #241
description: DOI updated to include the publication's DOI on 2024-11-26-10:30:00
DOI: 10.25345/c55m62k8v
title: MassIVE MSV000097957 - Jmod: Joint modeling of mass spectra for empowering multiplexed DIA proteomics
title: The throughput of mass spectrometry (MS) proteomics can be increased substantially by multiplexing that enables parallelization of data acquisition. Such parallelization in the mass domain (plexDIA) and the time domain (timePlex) increases the density of mass spectra and the overlap between ions originating from different precursors. To enhance sequence identification and quantification from such spectra, we developed an open source software for joint modeling: JMod. It uses the intrinsic structure in the spectra and explicitly models overlapping peaks as linear superpositions of their components. This modeling enabled performing 9-plexDIA using 2 Da offset PSMtags by deconvolving the resulting overlapping isotopic envelopes in both MS1 and MS2 space. The results demonstrate 9-fold higher throughput with preserved quantitative accuracy and coverage depth. This support for smaller mass offsets increases multiplexing capacity and thus proteomic throughput for a given plexDIA tag, and we demonstrate this generalizability with diethyl labeling. By supporting enhanced decoding of DIA spectra multiplexed in the mass and time domains, JMod provides an open and flexible software for increasing the throughput of sensitive proteomics.
DOI: 10.25574/cdc.312
title: Chandra X-ray Observatory Chandra Data Collection for request #312

description: Chandra Data Collection for request #312
description: DOI updated to include the publication's DOI on 2025-01-31-16:00:00
DOI: 10.34740/kaggle/dsv/8196285
title: ArYSL: Arabic Yemeni_Sign_Language
DOI: 10.15139/s3/wv4sdp
title: Behavioral Data

description: This folder contains behavioral data for the Immune and Social Reward Processing Study.
DOI: 10.25574/cdc.286
title: Chandra X-ray Observatory Chandra Data Collection for request #286

description: Chandra Data Collection for request #286
description: DOI updated to include the publication's DOI on 2025-01-27-12:00:00
DOI: 10.5281/zenodo.15484072
title: TABLE 1 in A New Bernardia (Euphorbiaceae) with Stellate Trichomes from the Brazilian Cerrado

description: TABLE 1. Distinctive morphological features of B. allemii and B. gardneri.
CharactersB. allemiiB. gardneriHabitMulti-stemmed subshrub, usually with leaves near the base of the stemSingle-stemmed shrub, without leaves near the base of the stemOld branches (indumentum)Densely tomentoseGlabrous to puberulousLeaf size (cm)2.5–8.2 X 2.2–4.51–4.2 X 0.5–2VenationPalmati-pinnatePinnate to palmati-pinnateGland number and position on leavesAlways present (2–14), usually aggregated close to the blade base, sometimes near the apexSometimes absent or with 1–2(3) glands near the blade baseBracteole shapeUsually reniform to flabellateUsually linear to oblanceolateStamen number7–115–8Filament length (mm)1.3–20.6–1.2Pistillate bract size (mm)2.5–4.5 X 2.2–3.81–2 X 1–2.5Pistillate sepal size (mm)2.6–3.5 X 1.6–2.80.8–1.7 X 0.8–1.5
description: Published as part of Carrión, Juan F., Cordeiro, Inês & Amorim, André M., 2019, A New Bernardia (Euphorbiaceae) with Stellate Trichomes from the Brazilian Cerrado, pp. 830 in Systematic Botany (Basel, Switzerland) 44 (4) on page 830, DOI: 10.1600/036364419X15710776741431, http://zenodo.org/record/15483340
DOI: 10.6084/m9.figshare.29120588
title: artefato.rar

description: AAAA
DOI: 10.5281/zenodo.15484634
title: Modular Stabilization of Symbolic Fields: Falsifiable Tests of the KN Function in Quantum-Like Systems

description: This paper introduces a falsifiable symbolic framework for modeling quantum phenomena using a nonlinear stabilizer termed the KN function. In contrast to the observer-dependent collapse postulates of the Copenhagen Interpretation, we propose that quantum behaviors—such as interference, entanglement, memory persistence, and decoherence—can be modeled as resonance interactions in a modular symbolic field.

Through a series of four computational tests, we demonstrate that:





Linear interference fails under KN modulation (Δφ = π)




Symbolic memory decays without modular feedback




Entangled symbolic fields collapse synchronously via shared phase structure




Decoherence arises from symbolic drift, not external measurement



This framework preserves the empirical predictions of quantum mechanics while offering a deterministic, resonance-based interpretation of collapse and coherence. It provides a structural foundation for reconceiving the Standard Model as a symbolic field theory—where intelligence, matter, and measurement emerge from shared symbolic resonance.

The appendix includes the full simulation results used to support all four falsification tests.
DOI: 10.5281/zenodo.15484635
title: Modular Stabilization of Symbolic Fields: Falsifiable Tests of the KN Function in Quantum-Like Systems

description: This paper introduces a falsifiable symbolic framework for modeling quantum phenomena using a nonlinear stabilizer termed the KN function. In contrast to the observer-dependent collapse postulates of the Copenhagen Interpretation, we propose that quantum behaviors—such as interference, entanglement, memory persistence, and decoherence—can be modeled as resonance interactions in a modular symbolic field.

Through a series of four computational tests, we demonstrate that:





Linear interference fails under KN modulation (Δφ = π)




Symbolic memory decays without modular feedback




Entangled symbolic fields collapse synchronously via shared phase structure




Decoherence arises from symbolic drift, not external measurement



This framework preserves the empirical predictions of quantum mechanics while offering a deterministic, resonance-based interpretation of collapse and coherence. It provides a structural foundation for reconceiving the Standard Model as a symbolic field theory—where intelligence, matter, and measurement emerge from shared symbolic resonance.

The appendix includes the full simulation results used to support all four falsification tests.
DOI: 10.25574/cdc.194
title: Chandra X-ray Observatory Chandra Data Collection for request #194

description: Chandra Data Collection for request #194
description: DOI updated to include the publication's DOI on 2024-04-15-19:0:00
DOI: 10.25574/cdc.248
title: Chandra X-ray Observatory Chandra Data Collection for request #248

description: Chandra Data Collection for request #248
description: DOI updated to include the publication's DOI on 2024-07-24-12:00:00
DOI: 10.25574/cdc.257
title: Chandra X-ray Observatory Chandra Data Collection for request #257

description: Chandra Data Collection for request #257
DOI: 10.25574/cdc.237
title: Chandra X-ray Observatory Chandra Data Collection for request #237

description: Chandra Data Collection for request #237
description: DOI updated to include the publication's DOI on 2024-05-23-10:00:00
DOI: 10.25574/cdc.195
title: Chandra X-ray Observatory Chandra Data Collection for request #195

description: Chandra Data Collection for request #195
description: DOI updated to include the publication's DOI on 2024-05-23-16:30:00
DOI: 10.25574/cdc.360
title: Chandra X-ray Observatory Chandra Data Collection for request #360

description: Chandra Data Collection for request #360
description: DOI updated to include the publication's DOI on 2025-05-15-15:00:00
DOI: 10.25574/cdc.184
title: Chandra X-ray Observatory Chandra Data Collection for request #184

description: Chandra Data Collection for request #cdc.184
description: DOI updated to include the publication's DOI on 2024:01:30T09:20:00
DOI: 10.57830/2306543
title: Everglades National Park Florida Bay water quality monitoring (2017-2024) dataset

description: Florida Bay has been exposed to a series of events in the past that has led to major ecological changes. Beginning with the seagrass die-off of 2015, water quality began to deteriorate, and a subsequent phytoplankton bloom began in the late wet season of 2016. Since then, Hurricane Irma along with other wind and rain events appear to have contributed to the persistence and intensification of these blooms.

During the last decade, Everglades National Park (EVER) has conducted extensive monitoring and research of the Florida Bay ecosystem to document long term trends in water quality and to gain insights into the dynamics of these phytoplankton blooms. Monitoring typically occurs every other month beginning in January over the course of 5 days.
DOI: 10.5066/p14ajh9j
title: Suspended sediment statistical analyses results for nontidal and tidal stations of the Chesapeake Bay and watershed between 1984-2021

description: Results of statistical analyses of nontidal and tidal station measurements of suspended sediment concentrations in the Chesapeake Bay and watershed, collected from 1984-2021 by Chesapeake Bay Program and partners and the U.S. Geological Survey. Original measurements were retrieved from online data repositories.
DOI: 10.6084/m9.figshare.29119517
title: SP25_IS_Research experience_Coral juveniles

description: Research experience provided for semester students attending the island school, they focussed on the health and resilience of coral juveniles after a massive bleching event reported in 2023.
DOI: 10.6084/m9.figshare.29119517.v1
title: SP25_IS_Research experience_Coral juveniles

description: Research experience provided for semester students attending the island school, they focussed on the health and resilience of coral juveniles after a massive bleching event reported in 2023.
DOI: 10.25574/cdc.231
title: Chandra X-ray Observatory Chandra Data Collection for request #231

description: Chandra Data Collection for request #231
description: DOI updated to include the publication's DOI on 2024-08-30-10:30:00
DOI: 10.15468/dl.r44hgd
title: Occurrence Download

description: A dataset containing 9206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calendulauda albescens)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 9206 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084585-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/qk5s-6n34
title: Nubanusit diatom bottom sample dataset

description: Raw data for the Nubanusit diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/d01m-be63
title: Bicentennial Park testate amoebae surface sample dataset

description: Raw data for the Bicentennial Park testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pxzg-ec29
title: LDDsite1578 ostracode surface sample dataset

description: Raw data for the LDDsite1578 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/wce6-fc07
title: Sagamore Lake diatom dataset

description: Raw data for the Sagamore Lake diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/v0sf-7z64
title: Wally Creek testate amoebae surface sample dataset

description: Raw data for the Wally Creek testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/6sb8-hd27
title: 6 [HFL6] water chemistry dataset

description: Raw data for the 6 [HFL6] water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/eyg0-vb15
title: Sutimska Jama cave ostracode surface sample dataset

description: Raw data for the Sutimska Jama cave ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hdr0-vv44
title: Tucson Mountains, Pima Co., AZ plant macrofossil dataset

description: Raw data for the Tucson Mountains, Pima Co., AZ plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.u9582a
title: Occurrence Download

description: A dataset containing 7528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 7528 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026756-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/wjv0-vy76
title: Moidach More testate amoebae surface sample dataset

description: Raw data for the Moidach More testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ahjp-xm42
title: Bison Alcove [42GR538] plant macrofossil dataset

description: Raw data for the Bison Alcove [42GR538] plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/synw-sm54
title: LDDsite350 water chemistry dataset

description: Raw data for the LDDsite350 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/becn-9j23
title: San Andres Canyon plant macrofossil dataset

description: Raw data for the San Andres Canyon plant macrofossil dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5519/qd.bsbkkfk2
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (146 records)