cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/mef-hh7-kyp
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/ar3-kj4-4st
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/sq9-wrb-kpb
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/g7x-z0w-t8a
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/xxv-lhl-27l
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/ayz-w4y-eyr
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/tjx-yp4-nky
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.5281/zenodo.17713042
title: Interpretable Machine Learning for Daily Precipitation Forecasting: Spatiotemporal Dynamics and Extreme Event Prediction in New Jersey

description: This dataset contains the complete, processed data used in the manuscript titled "Interpretable Machine learning for Enhanced Daily Precipitation Forecasting: Spatiotemporal Dynamics and Extreme Event Prediction in New Jersey." The data is provided in a single comma-separated value (CSV) file named Final_ML_Dataset_All_Features.csv.

Dataset Characteristics:





Temporal Coverage: 2015-01-01 to 2024-12-31




Spatial Coverage: 31 meteorological stations across New Jersey, USA.




Total Observations (Rows): 113,243




Total Variables (Columns): 40 (39 predictor features + 1 target variable)




Format: Station-wise daily time series. Each row represents a single observation for one station on a specific day.



Content:The dataset integrates multiple data sources to provide a rich set of predictors for one-day-ahead daily precipitation forecasting. It includes:





Target Variable: Precipitation (daily total in mm) sourced from NASA GPM/IMERG.




Meteorological Predictors: Daily variables such as 2m air temperature, dew point temperature, surface pressure, and wind components, sourced from the ERA5-Land reanalysis dataset.




Engineered Temporal Features: Lagged variables (e.g., precip_lag1), rolling window statistics (e.g., precip_roll3), and calendar-based features (e.g., day_of_week).




Static Environmental Features: Topographic variables (elevation, slope) from the SRTM 30m DEM, and remote sensing indices (NDVI, NDBI) for the years 2015 and 2024 derived from MODIS and Sentinel-2 imagery.




Station Metadata: station name, latitude, and longitude.



A complete data dictionary detailing all 39 predictor variables is provided in the Appendix of the associated manuscript. This dataset was used to train and evaluate six machine learning models (LR, SVR, RF, ADA, KNN, XGB) and to conduct the interpretability and spatiotemporal analyses presented in the paper. All numerical predictor variables in this dataset are provided in their raw (non-normalized) format. The preprocessing steps, including Z-score normalization, are described in the manuscript's methodology section.

This dataset is shared to ensure the reproducibility of the study's findings and to facilitate future research in hydrological forecasting and interpretable machine learning.
DOI: 10.3535/1q6-f2r-qb3
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/avf-xp0-xn5
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.5281/zenodo.17713041
title: Interpretable Machine Learning for Daily Precipitation Forecasting: Spatiotemporal Dynamics and Extreme Event Prediction in New Jersey

description: This dataset contains the complete, processed data used in the manuscript titled "Interpretable Machine learning for Enhanced Daily Precipitation Forecasting: Spatiotemporal Dynamics and Extreme Event Prediction in New Jersey." The data is provided in a single comma-separated value (CSV) file named Final_ML_Dataset_All_Features.csv.

Dataset Characteristics:





Temporal Coverage: 2015-01-01 to 2024-12-31




Spatial Coverage: 31 meteorological stations across New Jersey, USA.




Total Observations (Rows): 113,243




Total Variables (Columns): 40 (39 predictor features + 1 target variable)




Format: Station-wise daily time series. Each row represents a single observation for one station on a specific day.



Content:The dataset integrates multiple data sources to provide a rich set of predictors for one-day-ahead daily precipitation forecasting. It includes:





Target Variable: Precipitation (daily total in mm) sourced from NASA GPM/IMERG.




Meteorological Predictors: Daily variables such as 2m air temperature, dew point temperature, surface pressure, and wind components, sourced from the ERA5-Land reanalysis dataset.




Engineered Temporal Features: Lagged variables (e.g., precip_lag1), rolling window statistics (e.g., precip_roll3), and calendar-based features (e.g., day_of_week).




Static Environmental Features: Topographic variables (elevation, slope) from the SRTM 30m DEM, and remote sensing indices (NDVI, NDBI) for the years 2015 and 2024 derived from MODIS and Sentinel-2 imagery.




Station Metadata: station name, latitude, and longitude.



A complete data dictionary detailing all 39 predictor variables is provided in the Appendix of the associated manuscript. This dataset was used to train and evaluate six machine learning models (LR, SVR, RF, ADA, KNN, XGB) and to conduct the interpretability and spatiotemporal analyses presented in the paper. All numerical predictor variables in this dataset are provided in their raw (non-normalized) format. The preprocessing steps, including Z-score normalization, are described in the manuscript's methodology section.

This dataset is shared to ensure the reproducibility of the study's findings and to facilitate future research in hydrological forecasting and interpretable machine learning.
DOI: 10.3535/16z-g1y-5vy
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/pha-5c7-sq5
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/3kh-pc3-vq2
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/c92-gp3-fyd
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/4r1-80b-e3k
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/66j-kpy-e8p
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/6da-8ry-758
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/dwy-ghq-dty
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.15468/dl.hm8sze
title: Occurrence Download

description: A dataset containing 1049675 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Fungal Records Database of Britain and Ireland",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 1049675 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007906-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/q05-m5h-yjp
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/x8z-344-9tw
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.15468/dl.rstasp
title: Occurrence Download

description: A dataset containing 3706622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 3706622 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007902-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/18z-9be-tgt
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/pwc-lzy-v7v
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/me1-z6n-rxm
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/zxv-h1b-dfy
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/syv-ve6-5pb
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/v4d-r5q-v8n
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/93g-cxg-eng
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/abb-hks-cwc
title: Leucothoe sp. 3

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/tsn-f2p-8aj
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/ct4-fk4-cxq
title: Leucothoe sp. 3

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/zyf-8at-bat
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/sfe-4f7-jz7
title: Leucothoe sp. 3

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/txs-nwh-c2c
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/92s-019-xqc
title: Ericthonius brasiliensis (Dana 1855)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/lw2-dbq-ef3
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/k31-g24-00p
title: Ericthonius brasiliensis (Dana 1855)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/rmb-z9v-shq
title: Aora typica Krøyer 1845

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/p9t-4w3-jh6
title: Aora typica Krøyer 1845

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/zxg-d86-fsv
title: Photidae

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/c56-rdq-ljz
title: Westwoodilla caecula (Bate 1857)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/l2s-ng1-8dx
title: Ericthonius brasiliensis (Dana 1855)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/6z5-0dw-d5t
title: Leucothoe sp. 3

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/tf2-41s-5ct
title: Aora typica Krøyer 1845

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/fd6-eee-n0r
title: Aora typica Krøyer 1845

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/vbn-2kd-l9l
title: Ericthonius brasiliensis (Dana 1855)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/kph-43r-lx3
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/rp6-hxt-c67
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/9jl-m4p-r2e
title: Scopelocheirus

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/amw-npx-les
title: Leucothoe sp. 3

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/f46-s77-5fm
title: Atylus swammerdamei (Milne-Edwards 1830)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.3535/rdw-vr3-8b7
title: Abludomelita obtusata (Montagu 1813)

description: Digital Specimen for the physical specimen hosted at Senckenberg Research Institute and Natural History Museum Frankfurt/M.
DOI: 10.15468/dl.uc23wd
title: Occurrence Download

description: A dataset containing 2188585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2023-2025"
 ]
}

 The dataset includes 2188585 records from 674 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007894-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7281/t1kk98xb
title: Forced Isotropic Turbulence Data Set (Extended)

description: The data is from a direct numerical simulation of forced isotropic turbulence on a 10243 periodic grid, using a pseudo-spectral parallel code. Time integration of the viscous term is done analytically using integrating factor. The other terms are integrated using a second-order Adams-Bashforth scheme and the nonlinear term is written in vorticity form1. The simulation is de-aliased using phase-shift and a 2√2 /3 truncation2,3. Energy is injected by keeping constant the total energy in modes such that their wave-number magnitude is less or equal to 2. After the simulation has reached a statistical stationary state, 5028 frames of data, which includes the 3 components of the velocity vector and the pressure, are generated and ingested into the database. The duration of the stored data is about five large-eddy turnover times.
DOI: 10.15468/dl.b555d2
title: Occurrence Download

description: A dataset containing 3101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Artemisia ludoviciana Nutt.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 3101 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007268-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhmhqn
title: Occurrence Download

description: A dataset containing 2361992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-117.27665 21.89033,-107.67185 21.89033,-107.67185 28.6929,-117.27665 28.6929,-117.27665 21.89033))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2361992 records from 1195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016079-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25338/b8fs5b
title: Popular flight costs and emissions data

description: This dataset gives information on 67 popular destinations for UC Davis
 employee business travel.   For each destination, we
 give a selection of possible flights, collected in Summer and Fall 2019,
 each annotated with emissions as estimated by Atmosfair.de, and also the
 probability that each flight would be chosen, based on a model of employee
 flight choice preference that we compute from survey data.
description: The destinations were chosen based on data provided by the
 University's Accounting and Financial Services, and it cannot be
 sufficiently anonymized.  We do include a file listing top destinations
 and the number of times which each one was flown to
 (<em>topDestinations.csv</em>).   There is also a zip file,
 <em>scoredCombinedFlightOptions.zip</em>, containing 67 csv
 files, one for each of the popular destinations (some were excluded for
 various reasons).  And, there is a README file, describing the files for
 the destinations.
DOI: 10.5061/dryad.ghx3ffbjq
title: Data from: Islands in the desert for cavity-nesting bees and wasps: ecology, patterns of diversity, and conservation at oases of Baja California peninsula

description: Aims: The oases of Baja California peninsula (BCP) have been proposed as
 important hotspots of biodiversity that hold an exceptional richness in
 the middle of desert conditions. We provide the effect of habitat,
 climatic, biogeographic and anthropogenic disturbance on communities of
 cavity nesting taxa, emphasizing on bees, wasps and their natural enemies.
 Location: Baja California Peninsula, Northwest Mexico. Methods: In oases
 of BCP and desert neighbor environments, trap-nesting taxa were evaluated
 in response to factors affecting the nest abundance, richness, and
 community structure. We used statistical models to find the variables
 controlling the nest abundance and ecological analyses to determine the
 habitat effect on diversity under different scenarios of disturbance and
 latitude. Results: The nest abundance varied between bees and wasps, but
 solar irradiation and relative humidity influenced the abundance of both
 groups. In general, abundance and richness were higher in oases. Bees did
 not discriminate between oasis and desert habitats to nest and mud-daubing
 wasps were highly dependent of oases. However, there were exceptions in
 both groups. The degree of anthropogenic disturbance affected the species
 composition, richness, and natural enemies. Main conclusions: The oases of
 Baja California seem to be functioning as mesic islands into the desert,
 each oasis hosting a great and unique richness of cavity-nesting taxa.
 About 65% of nest abundance and 50% of species occurred exclusively in the
 oasis. Thus, at least 21 species could be threatened if the oases of BCP
 disappear in the future. Local conditions are shaping the community
 structure of species, but also large-scale factors, e.g. climate and
 biogeographic patterns seem to be influencing the community structure.
 Since habitat loss and fragmentation can be a major problem in most oases,
 strategies to maintain the ecosystem services of pollinators and predators
 should be included in the conservation programs of these fragile habitats.
description: SF= San Fernando<br> SB = San Borja<br> ES = El
 Sauzal<br> LP = La Purisima<br> EP = El Pilar<br> SA =
 Santiago<br> <br> Disturbance level= low, medium,
 high<br> Habitat = oasis, desert
DOI: 10.5061/dryad.p2ngf1vmh
title: Inter-seasonal nitrogen loss with drought depends on fertilizer management in a semi-natural Australian grassland

description: Drought can increase nitrogen (N) loss due to enhanced asynchronicity
 between N release through mineralization and plant N uptake. Organic
 amendments of N could potentially mitigate this loss where the N is more
 slowly released and made available at times when plants need it. Drought
 (ambient vs. reduced precipitation implemented with rainout shelters) and
 fertilizer addition (compost vs. mineral fertilizer) were used to examine
 the changes in mineralization, plant uptake and loss of N during dry and
 wet periods in a grassland of Australia. Both gross N mineralization (GNM)
 and plant N uptake were high in wet summers and low in dry summers, while
 in the winter the relatively high GNM was not matched with similarly high
 plant N uptake. Drought conditions combined with mineral fertilizer
 addition resulted in the highest plant δ15N values, reflecting a more open
 N cycle (high N loss). In contrast, under drought conditions, compost
 released N more slowly and showed greater synchronicity with plant N
 demand. Because drought has become increasingly more intense and frequent,
 compost addition to grasslands could be a beneficial management strategy
 to improve soil health and increase plant productivity, and most
 importantly, to reduce N loss compared to mineral fertilizers.