cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/1zg-w3c-8s7
title: Blepharita amica Treitschke, 1825

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/97t-x8a-2ah
title: Pyrausta sanguinalis Linnaeus, 1767

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/deq-1rq-jhe
title: Udea inquinatalis Zeller, 1846

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/acf-7hn-lpc
title: Indalia lutarella (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0jj-v03-g1r
title: Vanessa atalanta (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/mfp-rq8-1xy
title: Hyppa rectilinea (Esper, 1788)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/2ed-5yg-n7p
title: Eurois occulta Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/gfx-l1j-jaj
title: Patania Moore, 1888

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lv6-xse-npk
title: Ochropleura plecta Linnaeus, 1761

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/7tk-aez-08c
title: Syngrapha interrogationis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/q2g-wnr-4a3
title: Vanessa atalanta (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.6084/m9.figshare.30910928
title: <b>Climate change sensitivity</b>

description: The uploaded dataset includes:excel/ folder: Excel files containing environmental factors, elevation distribution, and geographic coordinates of the ULMDB in 28 mountain ranges. Column names include: “Z” (elevation), “sdxy” (mountaintop effect), “坡向” (aspect), “起伏度” (terrain relief), “tmeanc” (January mean temperature), “meanpr” (annual mean precipitation), and “slope” (NDVI change rate).matlab code/ folder: MATLAB scripts for constructing the elevation cloud model and the influencing factor weight coefficient cloud model.shp/ folder: Shapefiles of ULMDB locations and associated environmental variables.tiff/ folder: Raster datasets used to derive influencing factors, including DEM, January mean temperature, annual precipitation, and NDVI change rate. These were used to extract ULMDB elevation and calculate aspect, terrain relief, and mountaintop effect.Data Operation.xlsx includes:Table 1: Comparison between ULMDB values from literature and those extracted from remote sensing.Table 2: Cloud model parameters and sensitivity indices for each influencing factor, along with contribution rates.https://doi.org/10.6084/m9.figshare.21789074Table 3: Contribution rates of each influencing factor to the elevation distribution of ULMDB.
DOI: 10.6084/m9.figshare.30910928.v1
title: <b>Climate change sensitivity</b>

description: The uploaded dataset includes:excel/ folder: Excel files containing environmental factors, elevation distribution, and geographic coordinates of the ULMDB in 28 mountain ranges. Column names include: “Z” (elevation), “sdxy” (mountaintop effect), “坡向” (aspect), “起伏度” (terrain relief), “tmeanc” (January mean temperature), “meanpr” (annual mean precipitation), and “slope” (NDVI change rate).matlab code/ folder: MATLAB scripts for constructing the elevation cloud model and the influencing factor weight coefficient cloud model.shp/ folder: Shapefiles of ULMDB locations and associated environmental variables.tiff/ folder: Raster datasets used to derive influencing factors, including DEM, January mean temperature, annual precipitation, and NDVI change rate. These were used to extract ULMDB elevation and calculate aspect, terrain relief, and mountaintop effect.Data Operation.xlsx includes:Table 1: Comparison between ULMDB values from literature and those extracted from remote sensing.Table 2: Cloud model parameters and sensitivity indices for each influencing factor, along with contribution rates.https://doi.org/10.6084/m9.figshare.21789074Table 3: Contribution rates of each influencing factor to the elevation distribution of ULMDB.
DOI: 10.3535/2hj-xtx-swk
title: Xanthia (Xanthia) togata Esper

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/6qc-q6k-6h3
title: Diachrysia chrysitis (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pyq-4cc-6cc
title: Apamea (Apamea) sordens (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cjw-tb1-w95
title: Callophrys rubi (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/rxs-y09-wdm
title: Diacrisia sannio (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/v1h-x29-fw7
title: Epipsilia grisescens Fabricius, 1794

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/9qp-ntk-5dk
title: Arctia (Arctia) caja (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/m80-nkr-9t1
title: Scopariinae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/nll-5zd-jga
title: Xestia (Xestia) sexstrigata Haworth, 1809

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/tgc-51v-k7j
title: Indalia lutarella (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/0ct-qn9-5ns
title: Orgyia (Orgyia) antiqua (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/4aj-zqq-e6m
title: Erebia lappona Thunberg, 1791

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/2d8-rt9-c8z
title: Scopariinae

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/tcs-5bv-7t7
title: Xestia (Xestia) castanea Esper, 1798

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/y48-p4g-xph
title: Ipimorpha subtusa ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/jzr-ec2-3ma
title: Indalia lutarella (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/sky-g4p-esf
title: Parnassius apollo (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17786312
title: Synergistic enhancement of CO2 photoreduction over Mo-CeO2@MICROSCAFS® materials

description: Highlights:



Mo doping increases oxygen vacancies and improves CO2 surface activation.

MICROSCAFS® support enhances charge separation and light harvesting.

Mo-CeO2 shows the highest CO2 photoreduction efficiency among samples.

Mo incorporation boosts Ce4+/Ce3+ redox cycling during photocatalysis.

Structure–performance correlation reveals pathways for improved CO2 conversion.


Keywords: CeO2, SiO2-TiO2 porous microspheres, CO2 photoreduction, photocatalysis
DOI: 10.3535/5f0-1al-3vg
title: Catoptria falsella [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/99j-prp-tkb
title: Trisateles emortualis ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.17786311
title: Synergistic enhancement of CO2 photoreduction over Mo-CeO2@MICROSCAFS® materials

description: Highlights:



Mo doping increases oxygen vacancies and improves CO2 surface activation.

MICROSCAFS® support enhances charge separation and light harvesting.

Mo-CeO2 shows the highest CO2 photoreduction efficiency among samples.

Mo incorporation boosts Ce4+/Ce3+ redox cycling during photocatalysis.

Structure–performance correlation reveals pathways for improved CO2 conversion.


Keywords: CeO2, SiO2-TiO2 porous microspheres, CO2 photoreduction, photocatalysis
DOI: 10.3535/asm-jmw-gve
title: Cyaniris semiargus (von Rottemburg, 1775)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/23n-f1m-w52
title: Catoptria permutatellus Herrich-Schäffer, 1849

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/x52-wvq-jan
title: Ochropacha duplaris (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/qff-llf-cc8
title: Pyrausta purpuralis Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lxa-67r-90k
title: Patania Moore, 1888

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/t0r-1qa-t6m
title: Hyppa rectilinea (Esper, 1788)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/a9p-hjw-198
title: Phycitodes albatella Ragonot, 1887

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/5l3-q4t-58w
title: Lymantria (Lymantria) monacha (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fx1-x0v-71g
title: Denisia similella (Hübner, 1796)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.nskzcg
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mytilisepta virgata, Dreissena purpurascens, Septifer crassus, Septifer herrmannseni, Septifer virgatus, Tichogonia virgata)",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 105 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057908-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/yw8-xj8-ttk
title: Plebejus argus (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/3rj-166-edj
title: Polopeustis altensis Wocke, 1862

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/71l-hvd-4xz
title: Mythimna (Mythimna) pallens Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/lzf-6vj-45e
title: Agrochola (Anchoscelis) Guenée, 1839

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vwn-4jw-zsj
title: Apamea (Apamea) monoglypha (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/b1z-nqw-vr7
title: Pyrausta porphyralis [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pbe-svh-rdh
title: Agrochola (Anchoscelis) Guenée, 1839

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fb9-qf8-dnr
title: Epipsilia grisescens Fabricius, 1794

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/mvb-1dw-hdt
title: Drepana falcataria (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/by6-ckw-9ht
title: Eudonia lacustrata Panzer, 1804

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/c5k-70n-4t0
title: Lycaena phlaeas (Linnaeus, 1761)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/8ge-9h4-b2d
title: Orthosia (Semiophora) gothica Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/2af-r3a-at7
title: Xestia (Xestia) baja [Denis & Schiffermüller], 1775

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/fex-cze-ysk
title: Pyrausta sanguinalis Linnaeus, 1767

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/08l-r22-z4s
title: Agrochola (Anchoscelis) Guenée, 1839

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.12723989
title: Experimenting with Adaptive Bitrate Algorithms for Virtual Reality Streaming over Wi-Fi
title: ALVR-WN over Wi-Fi Dataset: Metrics validation and ABR comparison

description: Dataset of resulting files from capturing VR traffic in Wi-Fi 6 of a fork of the Air Light Virtual Reality (ALVR) software, used to stream games from a PC to a VR HMD in real time. The dataset includes: 



Parsed Wireshark captures in TSV format, both captured from server and network emulator, and corresponding ALVR session log are found for each experiment. In each folder, all files of netem, server or ALVR are found (with names corresponding to the emulated network effect, which is applied via the netem computer). We are using Constant BitRate (CBR) for each test, at 100 Mbps. The plots are added in the corresponding folder for each effect, and a metric comparison between WS and ALVR. 

ALVR session logs for a comparison on the logged metrics under tests of Mobility, using different strategies for bitrate adaptation: CBR, ABR and our own contribution.

ALVR session logs for a comparison on the logged metrics under tests of emulated capacity drops, using different strategies for bitrate adaptation: CBR, ABR and our own contribution.


The Wireshark captures have been parsed from a PCAPNG into a CSV file (via tshark) containing the principal fields of each packet separated by a space (TSV format). Since the PCAPNG captures were over 1 GB each, we keep only a subset of the first bytes of the payload and the main fields, and discard the rest. There are additional CSV files for TCP UL packets, which we parsed separately from the same captures for us to validate the measured RTT of ALVR.

The ALVR session logs contain raw json strings in .txt format, logged from the server using our fork of ALVR. We're using some additional events from the ones ALVR originally used, in order to log our metrics at arbitrary points in the code. 

The first 22 bytes of the payload in each packet are used to parse into the StreamSocket fields that ALVR uses, and record timestamps to validate the metrics of ALVR manually; which can be used to reproduce our results. Namely, each row of the csv (frame.time_relative, ip.src, ip.dst, frame.len, data.data) contains the timestamp of the packet, its IP source, destination, length and first 22 bytes of the payload as a hexadecimal string.

To analyze the CSV via python, the original StreamSocket fields can be recovered for each packet, using iteratively the following lines: 







          data_bytes = bytes.fromhex(row["data.data"])

          shard_length, stream_id, packet_index, shards_count, shard_index, _  = struct.unpack(">IHIIII", data_bytes)
DOI: 10.5281/zenodo.12723990
title: Experimenting with Adaptive Bitrate Algorithms for Virtual Reality Streaming over Wi-Fi
title: ALVR-WN over Wi-Fi Dataset: Metrics validation and ABR comparison

description: Dataset of resulting files from capturing VR traffic in Wi-Fi 6 of a fork of the Air Light Virtual Reality (ALVR) software, used to stream games from a PC to a VR HMD in real time. The dataset includes: 



Parsed Wireshark captures in csv format, both captured from server and network emulator, and corresponding ALVR session log are found for each experiment. In each folder, all files of netem, server or ALVR are found (with names corresponding to the emulated network effect, which is applied via the netem computer). We are using Constant BitRate (CBR) for each test, at 100 Mbps. The plots are added in the corresponding folder for each effect, and a metric comparison between WS and ALVR. 

ALVR session logs for a comparison on the logged metrics under tests of Mobility, using different strategies for bitrate adaptation: CBR, ABR and our own contribution.

ALVR session logs for a comparison on the logged metrics under tests of emulated capacity drops, using different strategies for bitrate adaptation: CBR, ABR and our own contribution.


The Wireshark captures have been parsed from UDP packets in a pcapng into a csv file (via tshark) containing the principal fields of each packet separated by a space, since the pcap captures were over 1 GB each, we keep only a subset of the first bytes of the payload and the main fields, and discard the rest. There are additional CSV files for TCP UL packets, which we parsed separately from the same captures for us to validate the measured RTT of ALVR.

The ALVR session logs contain raw json strings in .txt format, logged from the server using our fork of ALVR. We're using some additional events from the ones ALVR originally used, in order to log our metrics at arbitrary points in the code. 

 The first 22 bytes of the payload in each packet are used to parse into the StreamSocket fields that ALVR uses, and record timestamps to validate the metrics of ALVR manually; which can be used to reproduce our results. Namely, each row of the csv (frame.time_relative, ip.src, ip.dst, frame.len, data.data) contains the timestamp of the packet, its IP source, destination, length and first 22 bytes of the payload as a hexadecimal string.
DOI: 10.5281/zenodo.12773446
title: Experimenting with Adaptive Bitrate Algorithms for Virtual Reality Streaming over Wi-Fi
title: ALVR-WN over Wi-Fi Dataset: Metrics validation and ABR comparison

description: Dataset of resulting files from capturing VR traffic in Wi-Fi 6 of a fork of the Air Light Virtual Reality (ALVR) software, used to stream games from a PC to a VR HMD in real time. The dataset includes: 



Parsed Wireshark captures in TSV format, both captured from server and network emulator, and corresponding ALVR session log are found for each experiment. In each folder, all files of netem, server or ALVR are found (with names corresponding to the emulated network effect, which is applied via the netem computer). We are using Constant BitRate (CBR) for each test, at 100 Mbps. The plots are added in the corresponding folder for each effect, and a metric comparison between WS and ALVR. 

ALVR session logs for a comparison on the logged metrics under tests of Mobility, using different strategies for bitrate adaptation: CBR, ABR and our own contribution.

ALVR session logs for a comparison on the logged metrics under tests of emulated capacity drops, using different strategies for bitrate adaptation: CBR, ABR and our own contribution.


The Wireshark captures have been parsed from a PCAPNG into a CSV file (via tshark) containing the principal fields of each packet separated by a space (TSV format). Since the PCAPNG captures were over 1 GB each, we keep only a subset of the first bytes of the payload and the main fields, and discard the rest. There are additional CSV files for TCP UL packets, which we parsed separately from the same captures for us to validate the measured RTT of ALVR.

The ALVR session logs contain raw json strings in .txt format, logged from the server using our fork of ALVR. We're using some additional events from the ones ALVR originally used, in order to log our metrics at arbitrary points in the code. 

The first 22 bytes of the payload in each packet are used to parse into the StreamSocket fields that ALVR uses, and record timestamps to validate the metrics of ALVR manually; which can be used to reproduce our results. Namely, each row of the csv (frame.time_relative, ip.src, ip.dst, frame.len, data.data) contains the timestamp of the packet, its IP source, destination, length and first 22 bytes of the payload as a hexadecimal string.

To analyze the CSV via python, the original StreamSocket fields can be recovered for each packet, using iteratively the following lines: 







          data_bytes = bytes.fromhex(row["data.data"])

          shard_length, stream_id, packet_index, shards_count, shard_index, _  = struct.unpack(">IHIIII", data_bytes)
DOI: 10.15468/dl.j74r6h
title: Occurrence Download

description: A dataset containing 958132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Secale cereale L., Poa compressa L., Phalaris paradoxa L., Phalaris minor Retz., Phalaris canariensis L., Pennisetum setaceum (Forssk.) Chiov., Paspalum virgatum L., Paspalum plicatulum Michx., Paspalum paniculatum L., Paspalum notatum Flüggé, Paspalum malacophyllum Trin., Paspalum fimbriatum Kunth, Parapholis incurva (L.) C.E.Hubb., Panicum dichotomiflorum Michx., Melinis minutiflora P.Beauv., Lolium temulentum L., Lolium temulentum var. arvense (With.) Bab., Bromus hordeaceus L., Lolium remotum Schrank, Lolium persicum Boiss. & Hohen., Hordeum bulbosum L., Euchlaena mexicana Schrad., Eragrostis curvula (Schrad.) Nees, Eragrostis ciliaris (L.) R.Br., Ehrharta erecta Lam., Dinebra retroflexa (Vahl) Panz., Dichanthelium acuminatum (Sw.) Gould & C.A.Clark, Cynodon plectostachyus (K.Schum.) Pilg., Cynodon nlemfuensis Vanderyst, Cymbopogon nardus (L.) Rendle, Cymbopogon citratus (DC.) Stapf, Chloris gayana Kunth, Chloris divaricata R.Br., Cenchrus ciliaris L.)"
 ]
}

 The dataset includes 958132 records from 4249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028983-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iaanaa
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sigesbeckia melanolepsis Sch.Bip.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017674-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zngjn3
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine calliphaea Kit Tan, Giannopoulos & Vold"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082102-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.