cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/0t1-8v7-xkl
title: Phlegmariurus phyllanthus (Hook. & Arn.) R. D. Dixit

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ckq-2af-qwr
title: Phlegmariurus macgregorii (Baker) A. R. Field & Bostock

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/whn-hb3-pn9
title: Potentilla verna L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/76c-wt8-kbp
title: Phlegmariurus filiformis (Sw.) W. H. Wagner

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/v2r-04f-dw2
title: Valeriana dioica L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4hq-hwq-nkj
title: Rumex palustris Sm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/xvr-mw6-87n
title: Trifolium montanum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/n2d-85l-t5s
title: Rumex crispus L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lsx-cas-z8p
title: Phlegmariurus phlegmaria (L.) Holub

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p9n-482-81x
title: Phlegmariurus phlegmaria (L.) Holub

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.tutbtk
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Noblella personina Harvey, Almendáriz, Brito-M. & Batallas-R., 2013"
 ]
}

 The dataset includes 49 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112565-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/168-040-afr
title: Phlegmariurus phlegmaria (L.) Holub

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9vr-7l2-6fk
title: Myosotis arvensis (L.) Hill

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9wl-0al-t2s
title: Poa palustris L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bhb-r7w-79m
title: Poa bulbosa L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/h0l-0lr-4nw
title: Pulmonaria officinalis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mr4-7v4-hly
title: Pastinaca sativa L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nbp-pe3-cx9
title: Pulmonaria obscura Dumort.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/66z-j01-8fz
title: Dracocephalum ruyschiana L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/qad-w04-jr1
title: Thlaspi arvense L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5hs-qsp-8td
title: Echinochloa crus-galli (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/8lp-aat-y1b
title: Silene dioica (L.) Clairv.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/748-bpf-tw0
title: Tillandsia leiboldiana Schltdl.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/crn-9h3-z5m
title: Thysselinum palustre (L.) Hoffm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/w5x-c73-wly
title: Pseudalcantarea grandis (Schltdl.) Pinzón & Barfuss

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/d5c-cx6-cy8
title: Pseudalcantarea grandis (Schltdl.) Pinzón & Barfuss

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/q7h-e3s-2sg
title: Oreoselinum nigrum Delarbre

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dw4-klb-7lh
title: Oreoselinum nigrum Delarbre

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/jz8-b5g-jd8
title: Sphaeria

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/twv-448-dtm
title: Sphaeria

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zww-f4g-mem
title: Thielaviopsis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/5ba-mh7-tzv
title: Thielaviopsis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nst-8hb-6em
title: Thielaviopsis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sr0-p6w-9ya
title: Thielaviopsis

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/lzv-q3f-txk
title: Persicaria hydropiper (L.) Spach

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/r23-j7w-13x
title: Solidago gigantea Aiton

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/9ln-c50-z2t
title: Tephroseris papposa (Rchb.) Schur

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/mxb-rex-sv4
title: Solidago canadensis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/60h-xfb-afc
title: Sisymbrium altissimum L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/4zr-jca-f1k
title: Potentilla caulescens L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/kfm-1ch-tam
title: Xanthium orientale var. albinum (Widder) Adema & M. T. Jansen

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.6084/m9.figshare.30314137
title: Datasets associated with “RTSEvo v1.0: A Retrogressive Thaw Slump Evolution Model” submited to Geoscientific Model Development

description: This dataset provides the input data and model simulation results for the three experiments presented in our manuscript, "RTSEvo v1.0: A Retrogressive Thaw Slump Evolution Model," submitted to Geoscientific Model Development. The data supports the calibration and validation of a novel dynamic model for simulating the spatiotemporal evolution of retrogressive thaw slumps (RTS).The data is organized into three folders corresponding to the experiments described in the paper:Experiment 1 – Areal demand forecasting<strong>Purpose:</strong> To test the Holt's linear trend model for forecasting total regional RTS area.<strong>Contents:</strong> Observed total annual RTS area for the Beiluhe Basin (2016–2020). Forecasted total RTS area for 2021 and 2022.Experiment 2 – Base occurrence probability mapping<strong>Purpose:</strong> To evaluate the machine learning models (Random Forest and Logistic Regression) used to map the baseline probability of RTS occurrence.<strong>Contents:</strong> Training and testing datasets from 2016–2020. Input feature layers (e.g., topography, climate, geology, permafrost). Predicted RTS occurrence probability maps for 2020, 2021, and 2022.Experiment 3 – Full evolution model simulation<strong>Purpose:</strong> To test the performance of the full, calibrated RTSEvo model in simulating RTS distributions for subsequent years.<strong>Contents:</strong> Model calibration data using the 2020 RTS map as a reference. Final simulated RTS distribution maps for 2021 and 2022 from both the LR-EM and RF-EM versions of the model. Corresponding model evaluation metrics (FoM, Kappa, F1 Score, Moran’s I).All spatial datasets are provided in GeoTIFF (.tif) format at a 10-meter spatial resolution. The coordinate reference system for all layers is WGS 84 / UTM Zone 45N.<br>
DOI: 10.6084/m9.figshare.30314137.v1
title: Datasets associated with “RTSEvo v1.0: A Retrogressive Thaw Slump Evolution Model” submited to Geoscientific Model Development

description: This dataset provides the input data and model simulation results for the three experiments presented in our manuscript, "RTSEvo v1.0: A Retrogressive Thaw Slump Evolution Model," submitted to Geoscientific Model Development. The data supports the calibration and validation of a novel dynamic model for simulating the spatiotemporal evolution of retrogressive thaw slumps (RTS).The data is organized into three folders corresponding to the experiments described in the paper:Experiment 1 – Areal demand forecasting<strong>Purpose:</strong> To test the Holt's linear trend model for forecasting total regional RTS area.<strong>Contents:</strong> Observed total annual RTS area for the Beiluhe Basin (2016–2020). Forecasted total RTS area for 2021 and 2022.Experiment 2 – Base occurrence probability mapping<strong>Purpose:</strong> To evaluate the machine learning models (Random Forest and Logistic Regression) used to map the baseline probability of RTS occurrence.<strong>Contents:</strong> Training and testing datasets from 2016–2020. Input feature layers (e.g., topography, climate, geology, permafrost). Predicted RTS occurrence probability maps for 2020, 2021, and 2022.Experiment 3 – Full evolution model simulation<strong>Purpose:</strong> To test the performance of the full, calibrated RTSEvo model in simulating RTS distributions for subsequent years.<strong>Contents:</strong> Model calibration data using the 2020 RTS map as a reference. Final simulated RTS distribution maps for 2021 and 2022 from both the LR-EM and RF-EM versions of the model. Corresponding model evaluation metrics (FoM, Kappa, F1 Score, Moran’s I).All spatial datasets are provided in GeoTIFF (.tif) format at a 10-meter spatial resolution. The coordinate reference system for all layers is WGS 84 / UTM Zone 45N.<br>
DOI: 10.15468/dl.yarrhu
title: Occurrence Download

description: A dataset containing 5357 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magicicada",
 "Year is 2025"
 ]
}

 The dataset includes 5357 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008520-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmfyh3
title: Occurrence Download

description: A dataset containing 43969 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seseli montanum L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 43969 records from 344 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0183787-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkhz5d
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hesperis sylvestris Crantz",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 104 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299042-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pect9t
title: Occurrence Download

description: A dataset containing 1094 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Micromeria nervosa (Desf.) Benth.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1094 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299415-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kjbhb4
title: Occurrence Download

description: A dataset containing 78071 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parthenocissus quinquefolia (L.) Planch.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78071 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297762-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh9cw5
title: Occurrence Download

description: A dataset containing 1053 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Elatine orthosperma Düben",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1053 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0296213-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5684/dsa-01
title: What drives academic data sharing?
DOI: 10.5157/neps:th:2.0.0
title: NEPS-Zusatzstudie Thüringen: Organisatorische Reform der Oberstufe in Thüringen(TH 2.0.0)
title: NEPS Additional Study Thuringia: Organizational Reform Study in Thuringia (TH 2.0.0)
DOI: 10.15468/dl.jvz69z
title: Occurrence Download

description: A dataset containing 1495 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus reticulata Blanco",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1495 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293925-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ku99sf
title: Occurrence Download

description: A dataset containing 32296 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agrostemma githago L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32296 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0256027-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n7g6t8
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Limonium corsicum Erben",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300594-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqhu96
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Seseli transcaucasicum (Schischk.) Pimenov & Sdobnina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416520-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbm32a
title: Occurrence Download

description: A dataset containing 1052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Knautia drymeia Heuff.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1052 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262891-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvc49q
title: Occurrence Download

description: A dataset containing 11521 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnadenia nigra (L.) Rchb.f.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11521 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416012-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pv4vcu
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorbus mougeotii Preissm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 222 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288260-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.peaqkm
title: Occurrence Download

description: A dataset containing 1633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea omorika (Pancic) Purk.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1633 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0295197-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndy4sp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heracleum ossethicum Manden.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0416044-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdxgx4
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leucanthemum cuneifolium Le Grand ex Coste",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0300762-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18527963
title: Vaccine Cold-Chain Cyber-Physical Logistics Dataset

description: The released dataset, Vaccine Cold-Chain Cyber–Physical Logistics Dataset (VCC-CPLD), comprises 445,603 time-indexed records collected at a 1-minute sampling resolution, covering observations up to 31 December 2025, 23:59:00. Each record represents a cold-chain monitoring snapshot linked to a federated operational site through a client identifier and shipment context attributes such as shipment ID, lot ID, vaccine type, packaging type, route stage, and geographic region code. This structure supports analytical modeling under heterogeneous and non-IID operating conditions distributed across multiple cold-chain logistics nodes.

The feature space integrates multiple cyber–physical dimensions. Environmental telemetry includes internal and ambient temperature, setpoint temperature, rolling minimum/maximum/standard deviation statistics, thermal excursion counts, humidity and condensation indicators, as well as vibration, shock, tilt, and door or light exposure activity. Refrigeration and electronics health signals capture compressor and fan operation, pressure levels, battery and power modes, outage events, defrost and controller resets, firmware versions, and calibration age.

Logistics and mobility descriptors include transport speed, estimated time of arrival, dwell and handoff durations, shipment load status, traffic and weather risk indices, time since pack-out, and cumulative transit duration. Cybersecurity telemetry records network traffic volume, packet transmission rate, failed authentication attempts, scan and DNS anomalies, device join events, TLS failures, and remote session activities. Host integrity logs further document process executions, privilege escalation incidents, file integrity violations, firmware updates, reboot history, CPU/memory/disk utilization, and telemetry log gaps.

Sensor trust indicators quantify telemetry reliability through time-synchronization offsets, sensor ID changes, replay likelihood scores, checksum mismatches, signal jitter, and statistical outlier measures. In parallel, potency and bio-stability proxies include vaccine vial monitor status, cumulative exposure integrals, duration above or below thermal thresholds, freeze events, thermal dose accumulation, stability classification, remaining shelf life estimates, thaw–refreeze counts, and composite potency proxy scores.

For supervised multi-task learning, the dataset provides an attack_type label with six intrusion classes and a continuous potency_remaining_pct_t_plus_H target representing predicted residual potency at a 360-minute forecasting horizon. A derived binary label, safe_to_use_flag_t_plus_H, indicates whether vaccine viability remains within safe administration thresholds at the same prediction interval.